Works (247)

Updated: April 13th, 2024 05:00

2024 journal article

A first characterization of the microbiota-resilience link in swine

Microbiome, 12(1).

By: E. Mancin, C. Maltecca*, Y. Huang, R. Mantovani & F. Tiezzi

author keywords: Gut microbiota; Pigs; Resilience; Animal-health
Sources: Crossref, ORCID, Web Of Science
Added: March 29, 2024

2024 journal article

Imputation accuracy from low- to medium-density SNP chips for US crossbred dairy cattle

Journal of Dairy Science, 107(1), 398–411.

author keywords: dairy crossbred; imputation accuracy; SNP chip
Sources: ORCID, Crossref, Web Of Science
Added: August 24, 2023

2024 journal article

Investigation of cosmopolitan and local Italian beef cattle breeds uncover common patterns of heterozygosity

Animal, 3, 101142.

By: M. Chiara Fabbri*, F. Tiezzi*, A. Crovetti*, C. Maltecca n & R. Bozzi*

Sources: Crossref, ORCID
Added: March 29, 2024

2024 journal article

The potential of microbiota information to better predict efficiency traits in growing pigs fed a conventional and a high-fiber diet

Genetics Selection Evolution, 56(1).

UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: ORCID, Crossref, Web Of Science
Added: January 19, 2024

2023 journal article

121 Quantifying Genetic Relationships to Maintain Genetic Diversity in the Canadian Dairy Population

Journal of Animal Science, 101(Supplement_3), 15–16.

By: C. Obari*, B. Makanjuola*, F. Schenkel*, F. Miglior*, C. Maltecca n & C. Baes*

author keywords: dairy cattle; inbreeding; genetic relationship value
Sources: Web Of Science, ORCID, Crossref
Added: December 11, 2023

2023 journal article

123 Benchmarking of Artificial Neural Network Models for Genomic Prediction of Quantitative Traits in Pigs

Journal of Animal Science, 101(Supplement_3), 17–18.

By: J. Wang n, C. Maltecca n, F. Tiezzi n, Y. Huang* & J. Jiang n

author keywords: artificial neural network; genomic prediction; swine
TL;DR: It is found ANN with up to three layers could not improve genomic predictions compared with routine linear methods for pig quantitative traits, and hyper-parameter tuning is critical for improving the genomic prediction accuracy in pigs. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: December 11, 2023

2023 journal article

3 A comparison of the equine fecal microbiome within different horse populations

Journal of Equine Veterinary Science, 124, 104305.

By: C. Gluck n, M. Bowman n, J. Layton n, S. Stuska, C. Maltecca n & S. Pratt-Phillips n

Sources: Crossref, ORCID
Added: January 1, 2024

2023 journal article

381 Evaluating Indirect Measures of Milk Production in Heat-Stressed Lactating Sows Genomically Selected for Improved Thermotolerance

Journal of Animal Science, 101(Supplement_3), 311–312.

By: M. Byrd*, L. Brito*, H. Wen*, P. Freitas*, S. Hartman*, J. Maskal*, Y. Huang*, F. Tiezzi n ...

author keywords: heat stress; milk production; sows
Sources: Web Of Science, ORCID, Crossref
Added: December 18, 2023

2023 content posted

A first characterization of the Microbiota-Resilience Link in Swine

By: E. Mancin*, C. Maltecca n, Y. Huang, R. Mantovani* & F. Tiezzi*

Sources: Crossref, ORCID
Added: January 24, 2024

2023 journal article

Dietary Prebiotic Oligosaccharides and Arachidonate Alter the Fecal Microbiota and Mucosal Lipid Composition of Suckling Pigs

JOURNAL OF NUTRITION, 153(8), 2249–2262.

By: B. Eudy n, J. Odle n, . Lin n, C. Maltecca n, K. Walter n, N. McNulty*, V. Fellner n, S. Jacobi*

author keywords: microbiota; ARA; prebiotics; oligosaccharides; infant formula
TL;DR: Although dietary ARA did not alter the microbiota, prebiotic supplementation during the first 22 days of life increased the ARA content of the colonic mucosa, which may support intestinal development and epithelial repair. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: September 11, 2023

2023 journal article

Domestication shapes the pig gut microbiome and immune traits from the scale of lineage to population

Journal of Evolutionary Biology, 36(12), 1695–1711.

By: S. Kuthyar*, J. Diaz*, F. Avalos-Villatoro*, C. Maltecca n, F. Tiezzi*, R. Dunn n, A. Reese*

author keywords: animal domestication; gut microbiome; immunity; pigs (Sus scrofa)
TL;DR: It is observed that domestication context explained much of the variation in gut microbiome composition, pathogen abundances and immune markers, yet the main differences in the repertoire of metabolic genes found in the gut microbiome were between the wild and domestic genetic lineages. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: November 13, 2023

2023 journal article

Evaluating phenotypes associated with heat tolerance and identifying moderate and severe heat stress thresholds in lactating sows housed in mechanically or naturally ventilated barns during the summer under commercial conditions

JOURNAL OF ANIMAL SCIENCE, 101.

By: J. Johnson*, H. Wen*, P. Freitas*, J. Maskal*, S. Hartman*, M. Byrd*, J. Graham*, G. Ceja* ...

author keywords: climatic resilience; closer-to-biology phenotypes; heat stress; phenomics
MeSH headings : Swine; Animals; Female; Lactation / physiology; Thermotolerance; Heat-Shock Response; Body Temperature Regulation; Body Temperature
Sources: Web Of Science, ORCID
Added: June 12, 2023

2023 journal article

Genetic parameters for automatically-measured vaginal temperature, respiration efficiency, and other thermotolerance indicators measured on lactating sows under heat stress conditions

Genetics Selection Evolution, 55(1).

By: P. Freitas*, J. Johnson*, H. Wen*, J. Maskal*, F. Tiezzi n, C. Maltecca n, Y. Huang, A. DeDecker*, A. Schinckel*, L. Brito*

Sources: Crossref, ORCID
Added: January 27, 2024

2023 journal article

Inbreeding becomes a serious issue

Interbull Bulletin, (59), 101–104.

By: J. van Kaam, M. Ablondi, C. Maltecca & M. Cassandro

Source: NC State University Libraries
Added: January 27, 2024

2023 journal article

Inbreeding depression for producer-recorded udder, metabolic, and reproductive diseases in US dairy cattle

Journal of Dairy Science, 12.

Sources: ORCID, Crossref
Added: December 5, 2023

2023 journal article

Invited review: Novel methods and perspectives for modulating the rumen microbiome through selective breeding as a means to improve complex traits: Implications for methane emissions in cattle

LIVESTOCK SCIENCE, 269.

author keywords: Genomic selection; Methane; Rumen; Microbiome; Metagenome
Sources: Web Of Science, ORCID
Added: March 27, 2023

2023 journal article

Longitudinal genomic analyses of automatically-recorded vaginal temperature in lactating sows under heat stress conditions based on random regression models

GENETICS SELECTION EVOLUTION, 55(1).

By: H. Wen*, J. Johnson*, P. Freitas*, J. Maskal*, L. Gloria*, A. Araujo*, V. Pedrosa*, F. Tiezzi n ...

TL;DR: T_V is a heritable trait with substantial additive genetic variation and represents a promising indicator trait to select pigs for improved heat tolerance and Moderate GxE for T_V exist, indicating potential re-ranking of selection candidates across EG. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: January 2, 2024

2023 journal article

MicroRNA and mRNA sequencing analyses reveal key hepatic metabolic and signaling pathways responsive to maternal undernutrition in full-term fetal pigs

JOURNAL OF NUTRITIONAL BIOCHEMISTRY, 116.

By: F. Wang n, C. Man n, X. Wang n, J. Odle n, C. Maltecca n & . Lin n

author keywords: Maternal undernutrition; RNA sequencing; mRNA-miRNA correlation analysis; Ingenuity Pathways Analysis (IPA); Oxidative phosphorylation
MeSH headings : Pregnancy; Female; Animals; Swine; RNA, Messenger / metabolism; Fetus / metabolism; Liver / metabolism; Signal Transduction; Malnutrition / metabolism
TL;DR: The correlation analyses showed that metabolic and signaling pathways such as oxidative phosphorylation, death receptor signaling, neuroinflammation signaling pathway, and estrogen receptor signaling pathways were significantly modified, and the gene modifications in these pathways were associated with the miRNA changes induced by the maternal undernutrition. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science
Added: March 4, 2023

2023 journal article

SLEMM: million-scale genomic predictions with window-based SNP weighting

BIOINFORMATICS, 39(3).

Ed(s): R. Schwartz

MeSH headings : Female; Animals; Cattle; Polymorphism, Single Nucleotide; Bayes Theorem; Genome; Genomics / methods; Genotype; Phenotype; Models, Genetic
TL;DR: Extensive analyses on seven public datasets showed that SLEMM with SNP weighting had overall the best predictive ability among a variety of genomic prediction methods including GCTA's empirical BLUP, BayesR, KAML, and LDAK’s BOLT andBayesR models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science
Added: March 10, 2023

2022 article proceedings

188. Patterns of inbreeding and selection using runs of homozygosity in North American dairy cattle

Presented at the World Congress on Genetics Applied to Livestock Production.

By: E. Lozada-Soto n, F. Tiezzi*, J. Cole*, P. VanRaden* & C. Maltecca n

Event: World Congress on Genetics Applied to Livestock Production

Sources: Crossref, ORCID
Added: January 27, 2024

2022 article proceedings

354. A variational Bayes method for genomic prediction increases accuracy and computing speed

Presented at the World Congress on Genetics Applied to Livestock Production.

Event: World Congress on Genetics Applied to Livestock Production

Sources: Crossref, ORCID
Added: January 27, 2024

2022 journal article

400 Improving Heat Stress Resilience to Reduce the Negative Effects of pre- and Postnatal Heat Stress in Swine

Journal of Animal Science, 100(Supplement_3), 47–48.

By: J. Johnson*, L. Brito*, C. Maltecca n & F. Tiezzi

Sources: Crossref, ORCID
Added: January 24, 2024

2022 article proceedings

406. Compressing microbiota information using an autoencoder to predict growth traits in swine

Presented at the World Congress on Genetics Applied to Livestock Production.

By: C. Maltecca n, J. Jiang n, J. Fix*, C. Schwab*, C. Shull & F. Tiezzi n

Event: World Congress on Genetics Applied to Livestock Production

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: January 27, 2024

2022 article proceedings

506. Can microbial data improve prediction of breeding values of efficiency traits in pigs fed conventional or fiber diets?

Presented at the World Congress on Genetics Applied to Livestock Production.

Event: World Congress on Genetics Applied to Livestock Production

Sources: Crossref, ORCID
Added: January 27, 2024

2022 article

A network modeling approach provides insights into the environment-specific yield architecture of wheat

DeWitt, N., Guedira, M., Murphy, J. P., Marshall, D., Mergoum, M., Maltecca, C., & Brown-Guedira, G. (2022, May 10). (T. Juenger, Ed.). GENETICS, Vol. 5.

By: N. DeWitt n, M. Guedira n, J. Murphy n, D. Marshall*, M. Mergoum, C. Maltecca n, G. Brown-Guedira n

Contributors: N. Dewitt n, M. Guedira n, J. Murphy n, D. Marshall*, M. Mergoum, C. Maltecca n, G. Brown-Guedira n

Ed(s): T. Juenger

author keywords: yield components; structural equation modeling; QTL mapping; yield variation
MeSH headings : Genotype; Phenotype; Quantitative Trait Loci; Triticum / genetics
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: ORCID, Web Of Science
Added: June 3, 2022

2022 conference paper

Comparing methods to summarize gut microbiota composition in estimating microbiability of host phenotypes in swine

In R. F. Veerkamp & Y. de Haas (Eds.), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and Species Orientated Innovations in Animal Breeding, and Contribution of Genetics to Solving Societal Challenges (pp. 2081–2084).

By: Y. He n, C. Maltecca n, J. Howard, Y. Huang, K. Gray & F. Tiezzi n

Ed(s): R. Veerkamp & Y. de Haas

Sources: NC State University Libraries, ORCID
Added: January 27, 2024

2022 journal article

Current state of inbreeding, genetic diversity, and selection history in all major breeds of US dairy cattle

Journal of Dairy Science, 105(Supplement 1), 188–188.

By: E. Lozada-Soto, C. Maltecca, J. Cole, P. Van Raden & F. Tiezzi

Source: NC State University Libraries
Added: January 27, 2024

2022 conference paper

Effect of Temperature and Maternal Age on Recombination Rate in Cattle

Proceedings of the Plant and Animal Genome XXIX Conference. Presented at the Plant and Animal Genome XXIX Conference, San Diego, CA.

By: E. Freebern, B. Shen, J. Jiang, C. Maltecca, J. Cole, G. Liu, L. Ma

Event: Plant and Animal Genome XXIX Conference at San Diego, CA on January 8-12, 2022

Source: NC State University Libraries
Added: January 27, 2024

2022 journal article

Exploring methods to summarize gut microbiota composition for microbiability estimation and phenotypic prediction in swine

JOURNAL OF ANIMAL SCIENCE, 100(9).

By: Y. He n, F. Tiezzi n, J. Jiang n, J. Howard, Y. Huang, K. Gray*, J. Choi*, C. Maltecca n

Contributors: Y. He n, F. Tiezzi n, J. Jiang n, J. Howard, Y. Huang, K. Gray*, J. Choi*, C. Maltecca n

author keywords: Gut microbiota; microbial similarity matrix; microbiability; prediction; swine
MeSH headings : Animals; Body Composition / genetics; Gastrointestinal Microbiome; Male; Phenotype; RNA, Ribosomal, 16S / genetics; Swine
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science
Added: July 2, 2022

2022 journal article

Exploring the role of gut microbiota in host feeding behavior among breeds in swine

BMC MICROBIOLOGY, 22(1).

By: Y. He n, F. Tiezzi n, J. Howard*, Y. Huang, K. Gray* & C. Maltecca n

Contributors: Y. He n, F. Tiezzi n, J. Howard*, Y. Huang, K. Gray* & C. Maltecca n

author keywords: Swine; Gut microbiota; Feeding behavior; Breed; Growth stage
MeSH headings : Animals; Archaea / classification; Archaea / genetics; Archaea / isolation & purification; Bacteria / classification; Bacteria / genetics; Bacteria / isolation & purification; Feeding Behavior; Gastrointestinal Microbiome / genetics; Phenotype; RNA, Ribosomal, 16S / genetics; Swine / genetics; Swine / growth & development; Swine / microbiology
TL;DR: The importance of the gut microbial composition in interacting with the host feeding behavior is demonstrated and multiple archaea and bacteria associated with feeding behavior measures in pigs from either Duroc, Landrace, or Large White breeds at three growth stages are identified. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: January 10, 2022

2022 journal article

Genomic characterization of autozygosity and recent inbreeding trends in all major breeds of US dairy cattle

JOURNAL OF DAIRY SCIENCE, 105(11), 8956–8971.

Contributors: E. Lozada-Soto n, F. Tiezzi*, J. Jiang n, J. Cole*, P. VanRaden* & C. Maltecca n

author keywords: dairy cattle; runs of homozygosity; inbreeding; genetic diversity
MeSH headings : Cattle / genetics; Animals; Inbreeding; Polymorphism, Single Nucleotide; Physical Conditioning, Animal; Genome; Genomics; Homozygote; Genotype
TL;DR: This study characterized the genomic landscape of autozygosity and assessed trends in genetic diversity in 5 breeds of US dairy cattle and identified ROH islands in each breed, revealing selection patterns for milk production, productive life, health, and reproduction in most breeds. (via Semantic Scholar)
Sources: ORCID, Web Of Science
Added: September 22, 2022

2022 chapter book

Genotype by Environment Interactions in Livestock Farming

By: F. Tiezzi* & C. Maltecca n

Sources: Crossref, ORCID
Added: January 24, 2024

2022 journal article

Genotyping and phenotyping strategies for genetic improvement of meat quality and carcass composition in swine

GENETICS SELECTION EVOLUTION, 54(1).

By: E. Lozada-Soto n, D. Lourenco*, C. Maltecca n, J. Fix*, C. Schwab*, C. Shull, F. Tiezzi*

Contributors: E. Lozada-Soto n, D. Lourenco*, C. Maltecca n, J. Fix*, C. Schwab*, C. Shull, F. Tiezzi*

MeSH headings : Animals; Genome; Genotype; Meat; Phenotype; Pork Meat; Swine / genetics
Sources: Web Of Science, ORCID
Added: June 20, 2022

2022 conference paper

Gut Microbiota Associated with Host Feeding Behavior and Microbial Prediction of Growth and Carcass Traits in Swine

Proceedings of the Plant and Animal Genome XXIX Conference. Presented at the Plant and Animal Genome XXIX Conference, San Diego, CA.

By: Y. He, F. Tiezzi, J. Howard, Y. Huang, K. Gray & C. Maltecca

Event: Plant and Animal Genome XXIX Conference at San Diego, CA on January 8-12, 2022

Source: NC State University Libraries
Added: January 27, 2024

2022 journal article

Gut microbiota and host genetics contribute to the phenotypic variation of digestive and feed efficiency traits in growing pigs fed a conventional and a high fiber diet

GENETICS SELECTION EVOLUTION, 54(1).

MeSH headings : Animal Feed / analysis; Animals; Bayes Theorem; Biological Variation, Population; Diet / veterinary; Gastrointestinal Microbiome; Sus scrofa / genetics; Swine / genetics
TL;DR: The microbiota explained a significant proportion of the phenotypic variance of the De traits, which was even larger than that explained by the host genetics, and the use of microbiota information could improve the selection of DE traits, and to a lesser extent, of growth and FE traits. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: ORCID, Web Of Science
Added: July 28, 2022

2022 journal article

Mixed-model GWAS on milk production traits of 1.16 M genotyped Holstein cattle

Journal of Dairy Science, 105(Supplement 1), 19–19.

By: J. Jiang, J. Cheng, C. Maltecca, L. Ma, P. Van Raden & J. O'Connell

Source: NC State University Libraries
Added: January 27, 2024

2022 journal article

SLEMM: Million-scale genomic best linear unbiased predictions with window-based SNP weighting

Journal of Dairy Science, 105(Supplement 1), 19–19.

By: J. Cheng, C. Maltecca, P. Van Raden, J. O'Connell, L. Ma & J. Jiang

Source: NC State University Libraries
Added: January 27, 2024

2022 article

The Addition of Epistatic Genetic Effects Increases Genomic Prediction Accuracy for Reproduction and Production Traits in Duroc Pigs Using Genomic Models

ResearchSquare.

By: J. Cheng, F. Tiezzi, J. Howard, C. Maltecca & J. Jiang

Contributors: J. Cheng, F. Tiezzi, J. Howard, C. Maltecca & J. Jiang

Source: ORCID
Added: January 12, 2023

2022 journal article

Use of Host Feeding Behavior and Gut Microbiome Data in Estimating Variance Components and Predicting Growth and Body Composition Traits in Swine

GENES, 13(5).

By: Y. He n, F. Tiezzi n, J. Jiang n, J. Howard, Y. Huang, K. Gray*, J. Choi, C. Maltecca n

Contributors: Y. He n, F. Tiezzi n, J. Jiang n, J. Howard, Y. Huang, K. Gray*, J. Choi, C. Maltecca n

author keywords: feeding behavior; gut microbiome composition; prediction; growth; breeds; swine
MeSH headings : Animals; Body Composition / genetics; Feeding Behavior; Gastrointestinal Microbiome / genetics; Male; Phenotype; RNA, Ribosomal, 16S / genetics; Swine
Sources: ORCID, Web Of Science
Added: April 27, 2022

2021 journal article

25 Gut Microbiome Information Enables Additional Discovery in Genome-wide Association Studies in Swine

Journal of Animal Science, 99(Supplement_3), 10–10.

By: F. Tiezzi n & C. Maltecca n

TL;DR: This work demonstrates how the host genome can affect the phenotypic trait by inducing a change in gut microbiome composition that leads to achange in the phenotype. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 24, 2024

2021 journal article

29 Effects of Recent and Ancient Inbreeding on Growth in American Angus Cattle

Journal of Animal Science, 99(Supplement_3), 14–14.

By: E. Lozada-Soto n, F. Tiezzi n, D. Lu, S. Miller, J. Cole* & C. Maltecca n

TL;DR: The results of this study demonstrate that inbreeding accumulated recently should be quantified and managed in beef cattle populations to avoid economic losses. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 24, 2024

2021 journal article

53 Awardee Talk: Implications of the Gut Microbiome for Genetic Improvement of Swine

Journal of Animal Science, 99(Supplement_3), 29–29.

By: C. Maltecca n & F. Tiezzi n

TL;DR: This work investigated how the microbiome is shaped in different production systems by comparing the microbiome composition of growing/finishing pigs raised in bio-secure nucleus farms and commercial facilities, and elucidated the complex relationship between genomic and microbial variation using structural equation modeling. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 24, 2024

2021 journal article

Effect of Temperature and Maternal Age on Recombination Rate in Cattle

FRONTIERS IN GENETICS, 12.

By: B. Shen*, E. Freebern*, J. Jiang n, C. Maltecca n, J. Cole*, G. Liu*, L. Ma*

Contributors: B. Shen*, E. Freebern*, J. Jiang n, C. Maltecca n, J. Cole*, G. Liu*, L. Ma*

author keywords: recombination; maternal age; temperature; cattle; genetics
TL;DR: The maternal age and temperature effects on recombination rate are characterized and the adaptation of meiotic recombination to environmental stimuli in cattle is suggested and provided first-hand information regarding the plastic nature of meiosis recombination in a mammalian species. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 16, 2021

2021 journal article

Evidence for recombination variability in purebred swine populations

Journal of Animal Breeding and Genetics, 138(2), 259–273.

By: E. Lozada‐Soto n, C. Maltecca n, H. Wackel n, W. Flowers n, K. Gray, Y. He n, Y. Huang, J. Jiang n, F. Tiezzi n

Contributors: E. Lozada-Soto n, C. Maltecca n, H. Wackel n, W. Flowers n, K. Gray, Y. He n, Y. Huang, J. Jiang n, F. Tiezzi n

author keywords: genetic variance; recombination rate; selection; swine
MeSH headings : Animals; Female; Genome; Genomics; Male; Phenotype; Recombination, Genetic; Swine
TL;DR: Evidence of variability for recombination in purebred swine populations is provided, with differences found for sex, breed, sex-breed interaction, and age effects for genome-wide recombination rate and RO at one or more chromosomes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: September 26, 2020

2021 journal article

Genetic Parameters for Tolerance to Heat Stress in Crossbred Swine Carcass Traits

FRONTIERS IN GENETICS, 11.

By: M. Usala*, N. Macciotta*, M. Bergamaschi n, C. Maltecca n, J. Fix*, C. Schwab*, C. Shull, F. Tiezzi n

Contributors: M. Usala*, N. Macciotta*, M. Bergamaschi n, C. Maltecca n, J. Fix*, C. Schwab*, C. Shull, F. Tiezzi n

author keywords: heat stress; fat and muscle growth; genotype by environment interaction; heritability; single-step genomic BLUP
TL;DR: The results obtained from this study suggest the existence of genotype by environment interaction for carcass traits, as a possible genetic contributor to heat tolerance in swine. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: March 8, 2021

2021 journal article

Genetic diversity and population history of eight Italian beef cattle breeds using measures of autozygosity

PLOS ONE, 16(10).

MeSH headings : Animals; Cattle / genetics; Genome / genetics; Genomics / methods; Genotype; Homozygote; Inbreeding / methods; Italy; Polymorphism, Single Nucleotide / genetics
TL;DR: In all breeds, the largest proportion of homozygous by descent segments are found to be those that represent inbreeding events that occurred around 32 generations ago; with Tuscan breeds also having a significant proportion of segments relating to more recent inbreeding. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: March 7, 2022

2021 journal article

Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 19, 530–544.

By: F. Tiezzi n, J. Fix*, C. Schwab*, C. Shull & C. Maltecca n

Contributors: F. Tiezzi n, J. Fix*, C. Schwab*, C. Shull & C. Maltecca n

author keywords: Causal effect; Gut microbiome; Fat deposition; Latent variables
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, ORCID
Added: December 30, 2020

2021 journal article

Identification of unique ROH regions with unfavorable effects on production and fertility traits in Canadian Holsteins

GENETICS SELECTION EVOLUTION, 53(1).

By: B. Makanjuola*, C. Maltecca*, F. Miglior*, G. Marras, E. Abdalla*, F. Schenkel*, C. Baes*

Contributors: B. Makanjuola*, C. Maltecca*, F. Miglior*, G. Marras, E. Abdalla*, F. Schenkel*, C. Baes*

MeSH headings : Alleles; Animals; Canada; Cattle / genetics; Female; Fertility / genetics; Homozygote; Inbreeding; Polymorphism, Single Nucleotide
TL;DR: This aim was to identify unique run of homozygosity (ROH) genotypes present within a given genomic window that display negative associations with production and fertility traits and to quantify the effects of these identified ROH genotypes. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: September 13, 2021

2021 journal article

MicroRNA and mRNA Sequencing Analyses Reveal Key Hepatic Metabolic Pathways Responsive to Maternal Malnutrition in Full-Term Fetal Pigs

Current Developments in Nutrition, 5(Supplement_2), 829.

By: F. Wang n, C. Maltecca n, X. Wang n, J. Odle n & L. Xi

TL;DR: The results provide the framework for further understanding of negative impact of maternal malnutrition on hepatic metabolic pathways via miRNA-RNA interactions in full-term fetal pigs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: February 9, 2022

2021 journal article

Microbiability of meat quality and carcass composition traits in swine

Journal of Animal Breeding and Genetics, 138(2), 223–236.

By: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

Contributors: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

author keywords: heritability; meat quality and carcass composition traits; microbiability; microbial diversity; microbiome
MeSH headings : Animals; Body Composition; Body Weight / genetics; Genome; Phenotype; Pork Meat; Swine; Weaning
UN Sustainable Development Goal Categories
Source: ORCID
Added: September 27, 2020

2021 journal article

Microbial composition differs between production systems and is associated with growth performance and carcass quality in pigs

ANIMAL MICROBIOME, 3(1).

By: C. Maltecca n, R. Dunn n, Y. He n, N. McNulty, C. Schillebeeckx, C. Schwab*, C. Shull, J. Fix n, F. Tiezzi*

Contributors: F. Tiezzi*

author keywords: Microbiome; Microbial diversity; Growth; Host genetics; Production system; Carcass quality; Swine
TL;DR: A first characterization of microbial communities' value throughout the pork production systems is provided, providing information for incorporating microbial composition into the selection process in the quest for affordable and sustainable protein production in swine. (via Semantic Scholar)
Sources: ORCID, Web Of Science
Added: August 29, 2021

2021 conference paper

Microbiome and genetic contribution to the phenotypic variation of digestive efficiency in pig. 72

Annual Meeting of the European Federation of Animal Science (EAAP), 27, 571. Wageningen Academic Publishers.

By: V. Déru, F. Tiezzi, C. Carillier-Jacquin, B. Blanchet, L. Cauquil, O. Zemb, C. Maltecca, A. Bouquet, H. Gilbert

Event: Annual Meeting of the European Federation of Animal Science at Davos, Switzerland

Source: NC State University Libraries
Added: January 27, 2024

2021 journal article

PSXII-12 Partitioning direct and maternal genetic effects into additive and non-additive components for growth and maternal traits in Yorkshire pigs

Journal of Animal Science, 99(Supplement_3), 251–252.

By: J. Jiang n, S. O’Neill n, C. Maltecca n, J. Fix*, T. Crum*, C. Schwab, F. Tiezzi n

Sources: Crossref, ORCID
Added: January 24, 2024

2021 review

Potential Use of Gut Microbiota Composition as a Biomarker of Heat Stress in Monogastric Species: A Review

[Review of ]. ANIMALS, 11(6).

By: Y. He n, C. Maltecca n & F. Tiezzi n

Contributors: Y. He n, C. Maltecca n & F. Tiezzi n

author keywords: elevated ambient temperatures; heat stress; gut microbiota; monogastric animal; biomarker; health; welfare
TL;DR: The present review summarizes current research progress of how the gut microbial community responds to elevated ambient heat in monogastric animal species and discusses the use of the gut microbiota composition as a potential indicator for heat stress. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 21, 2021

2021 journal article

Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 184.

By: Y. He n, F. Tiezzi n, J. Howard* & C. Maltecca n

Contributors: Y. He n, F. Tiezzi n, J. Howard* & C. Maltecca n

author keywords: Pigs; Feeding behavior; Body weight; Machine learning
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID
Added: May 24, 2021

2021 journal article

Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection

GENETICS SELECTION EVOLUTION, 53(1).

By: E. Lozada-Soto n, C. Maltecca n, D. Lu, S. Miller*, J. Cole* & F. Tiezzi n

Contributors: E. Lozada-Soto n, C. Maltecca n, D. Lu, S. Miller*, J. Cole* & F. Tiezzi n

MeSH headings : Animals; Cattle / genetics; Genetic Fitness; Inbreeding; Inbreeding Depression; Pedigree; Polymorphism, Single Nucleotide; Quantitative Trait, Heritable; Red Meat / standards; Selection, Genetic; Selective Breeding
TL;DR: In both sires and dams, genomic selection resulted in decreased rates of pedigree and genomic inbreeding accumulation and increased or sustained effective population sizes and number of independently segregating chromosome segments, and significant depressive effects of inbreeding accumulate on economically important growth traits, particularly with genomic and recent inbreeding. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 28, 2021

2021 conference paper

Unpacking the Yield Effects of Major Heading Date Alleles in Wheat through Joint Analysis of Historic Breeding Panels and Their Climates

ASA, CSSA, SSSA International Annual Meeting. Presented at the ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT.

By: N. DeWitt, M. Guedira, J. Lyerly, B. Ward, J. Murphy, D. Marshall, N. Santantonio, C. Griffey ...

Event: ASA, CSSA, SSSA International Annual Meeting at Salt Lake City, UT on November 7-10, 2021

Source: NC State University Libraries
Added: January 27, 2024

2020 journal article

16 Opportunities and challenges from deep-phenotyping of dairy cattle

Journal of Animal Science, 98(Supplement_4), 5–6.

By: J. Cole*, S. Eaglen, C. Maltecca n, H. Mulder* & J. Pryce*

author keywords: cow phenotyping; on-farm sensors; precision management
Sources: Web Of Science, ORCID, Crossref
Added: February 15, 2021

2020 journal article

249 Predicting body weight of finishing pigs using machine and deep learning algorithms

Journal of Animal Science, 98(Supplement_4), 176–176.

By: Y. He n, F. Tiezzi n & C. Maltecca n

author keywords: Pigs; prediction; feeding behavior
TL;DR: This study connects the dynamics of feeding behavior and feed intake data to growth using prediction methods that will hopefully accelerate the mainstream application of electronic feeders in pig production systems. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: February 15, 2021

2020 journal article

30 Inbreeding in American Angus cattle before and after the implementation of genomic selection

Journal of Animal Science, 98(Supplement_4), 14–14.

By: E. Lozada-Soto n, F. Tiezzi n, D. Lu, S. Miller, J. Cole* & C. Maltecca n

author keywords: beef cattle; genomic selection; inbreeding
TL;DR: The results suggest that the implementation of genomic selection in Angus cattle has not caused the increased inbreeding rates and reduced effective population sizes seen in other species, but instead has been beneficial for the preservation of genetic diversity. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, ORCID, Crossref
Added: February 15, 2021

2020 journal article

43 Feed efficiency and behavior are associated with gut microbiome in three breeds of pigs

Journal of Animal Science, 98(Supplement_4), 24–24.

By: F. Tiezzi n, M. Bergamaschi n, J. Howard* & C. Maltecca n

author keywords: swine; gut microbiome; feeding behavior
TL;DR: The impact of gut microbiome on the traits studied was present and seemed to depend on the breed and the time point of recording. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: February 15, 2021

2020 journal article

Analysis of milk leukocyte differential measures for use in management practices for decreased mastitis incidence

Journal of Dairy Science, 103(1), 572–582.

Contributors: E. Lozada-Soto n, C. Maltecca n, K. Anderson n & F. Tiezzi n

author keywords: mastitis incidence; mastitis management; milk leukocyte differential
MeSH headings : Animals; Cattle; Dairying / methods; Female; Incidence; Lactation; Leukocyte Count / veterinary; Leukocytes; Lymphocytes; Macrophages; Mastitis, Bovine / epidemiology; Mastitis, Bovine / pathology; Mastitis, Bovine / prevention & control; Milk / cytology; Neutrophils
TL;DR: The results of this study showed that MLD-derived measures justify further study on their use for management practices for mastitis screening and prevention in early lactation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: November 6, 2019

2020 journal article

Effect of genomic selection on rate of inbreeding and coancestry and effective population size of Holstein and Jersey cattle populations

Journal of Dairy Science, 103(6), 5183–5199.

author keywords: genetic diversity; rate of inbreeding; effective population size; dairy cattle
MeSH headings : Animals; Cattle / genetics; Cattle / physiology; Female; Genetic Variation; Genome / genetics; Genomics; Genotype; Inbreeding; Linkage Disequilibrium; Parturition; Pedigree; Population Density; Pregnancy
TL;DR: Given the rate at which inbreeding is increasing after the implementation of genomic selection, there is a need to implement measures and means for controlling the rate of inbreeding per year, which will help to manage and maintain farm animal genetic resources. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: April 9, 2020

2020 journal article

Effect of recent and ancient inbreeding on production and fertility traits in Canadian Holsteins

BMC GENOMICS, 21(1).

By: B. Makanjuola*, C. Maltecca*, F. Miglior*, F. Schenkel* & C. Baes*

Contributors: B. Makanjuola*, C. Maltecca*, F. Miglior*, F. Schenkel* & C. Baes*

author keywords: Inbreeding depression; Recent and ancient inbreeding; Pedigree and genomic inbreeding
MeSH headings : Animals; Cattle / genetics; Cattle / physiology; Female; Fertility; Homozygote; Inbreeding; Male; Pedigree; Quantitative Trait, Heritable; Selective Breeding
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID
Added: September 21, 2020

2020 journal article

GWAS and fine-mapping of livability and six disease traits in Holstein cattle

BMC GENOMICS, 21(1).

By: E. Freebern*, D. Santos*, L. Fang*, J. Jiang*, K. Parker Gaddis*, G. Liu*, P. VanRaden*, C. Maltecca n, J. Cole*, L. Ma*

Contributors: E. Freebern*, D. Santos*, L. Fang*, J. Jiang*, K. Parker Gaddis*, G. Liu*, P. Vanraden*, C. Maltecca n, J. Cole*, L. Ma*

author keywords: GWAS; Fine mapping; Health trait; Gene expression; Dairy cattle
MeSH headings : Animals; Cattle; Cattle Diseases / diagnosis; Cattle Diseases / genetics; Chromosome Mapping; Dairying; Genetic Predisposition to Disease; Genome-Wide Association Study; Genomics; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Quantitative Trait, Heritable; Transcriptome
TL;DR: The genetic basis of seven health traits in dairy cattle is investigated and potential candidate genes associated with cattle health are identified using genome-wide association studies, fine mapping, and analyses of multitissue transcriptome data. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: March 10, 2020

2020 journal article

Genome-wide association study for carcass quality traits and growth in purebred and crossbred pigs

JOURNAL OF ANIMAL SCIENCE, 98(1).

By: M. Bergamaschi*, C. Maltecca n, J. Fix*, C. Schwab & F. Tiezzi n

Contributors: M. Bergamaschi*, C. Maltecca n, J. Fix*, C. Schwab & F. Tiezzi n

author keywords: breeding; genetics; heritability; swine
MeSH headings : Animals; Breeding; Female; Genome / genetics; Genome-Wide Association Study / veterinary; Genotype; Male; Phenotype; Polymorphism, Single Nucleotide / genetics; Red Meat / standards; Swine / genetics; Swine / growth & development; Swine / physiology
TL;DR: Evidence is provided that there are overlapping and non-overlapping regions in the genome influencing carcass quality and growth traits in purebreds and 3-way crossbred pigs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: March 30, 2020

2020 journal article

Genomics of Heat Tolerance in Reproductive Performance Investigated in Four Independent Maternal Lines of Pigs

FRONTIERS IN GENETICS, 11.

By: F. Tiezzi n, L. Brito*, J. Howard*, Y. Huang, K. Gray*, C. Schwab, J. Fix, C. Maltecca n

Contributors: F. Tiezzi n, L. Brito*, J. Howard*, Y. Huang, K. Gray*, C. Schwab, J. Fix, C. Maltecca n

author keywords: animal resilience; fertility; GxE; heat stress; heat sensitivity; relative humidity; reaction norm
Sources: Web Of Science, ORCID
Added: March 1, 2021

2020 report

Gut microbiome and feed efficiency of pigs

[Research Square Preprint].

By: M. Bergamaschi, F. Tiezzi, J. Howard, Y. Huang, K. Gray, C. Schillebeeckx, N. McNulty, C. Maltecca*

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: February 2, 2024

2020 journal article

Gut microbiome composition differences among breeds impact feed efficiency in swine

Microbiome, 8(1).

By: M. Bergamaschi n, F. Tiezzi n, J. Howard, Y. Huang, K. Gray, C. Schillebeeckx, N. McNulty, C. Maltecca n

Contributors: M. Bergamaschi n, F. Tiezzi n, J. Howard, Y. Huang, K. Gray, C. Schillebeeckx, N. McNulty, C. Maltecca n

author keywords: Swine; Microbiome; Genetics; Performance; Feed efficiency
MeSH headings : Animal Feed; Animals; Feces / microbiology; Female; Gastrointestinal Microbiome / genetics; Intestines / microbiology; Male; RNA, Ribosomal, 16S / genetics; Swine / classification; Swine / microbiology; Weight Gain
TL;DR: Amplicon sequence variants from multiple genera were found to be significantly associated with feed efficiency, regardless of the time point considered, which suggests that the microbial community may contribute to shaping host productive parameters. (via Semantic Scholar)
Source: ORCID
Added: July 23, 2020

2020 journal article

Heritability and genome-wide association of swine gut microbiome features with growth and fatness parameters

SCIENTIFIC REPORTS, 10(1).

By: M. Bergamaschi n, C. Maltecca n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull, J. Fix*, F. Tiezzi n

Contributors: M. Bergamaschi n, C. Maltecca n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull, J. Fix*, F. Tiezzi n

MeSH headings : Animals; Gastrointestinal Microbiome; Genome-Wide Association Study; Host Microbial Interactions / genetics; Polymorphism, Single Nucleotide / genetics; Quantitative Trait, Heritable; Sus scrofa / genetics; Sus scrofa / growth & development; Sus scrofa / microbiology
TL;DR: This study provides new evidence linking gut microbiome composition with growth and carcass traits in swine, while also identifying putative host genetic markers associated with significant differences in the abundance of several prevalent microbiome features. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: July 20, 2020

2020 journal article

Inbreeding depression due to different age classes of inbreeding on production and fertility traits in Canadian Holsteins

Journal of Dairy Science, 103(Supplement 1), 115–115.

By: B. Makanjuola, C. Maltecca, F. Miglior, F. Schenkel & C. Baes

Source: NC State University Libraries
Added: February 15, 2024

2020 journal article

Integration of Wet-Lab Measures, Milk Infrared Spectra, and Genomics to Improve Difficult-to-Measure Traits in Dairy Cattle Populations

FRONTIERS IN GENETICS, 11.

By: A. Cecchinato*, H. Toledo-Alvarado*, S. Pegolo*, A. Rossoni, E. Santus, C. Maltecca n, G. Bittante*, F. Tiezzi n

Contributors: A. Cecchinato*, H. Toledo-Alvarado*, S. Pegolo*, A. Rossoni, E. Santus, C. Maltecca n, G. Bittante*, F. Tiezzi n

author keywords: high-throughput phenotyping; Fourier-transformed infrared spectroscopy; genetic parameters; genomic predictions; dairy cattle; single-step GBLUP
TL;DR: Overall, these results demonstrated the potential of using FIELD information as indicator traits for the indirect genetic improvement of LAB measures, and suggests that breeding programs for difficult-to-measure traits could be implemented using FTIR information. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: November 2, 2020

2020 journal article

Leveraging Multiple Layers of Data To Predict Drosophila Complex Traits

G3-GENES GENOMES GENETICS, 10(12), 4599–4613.

By: F. Morgante n, W. Huang n, P. Sorensen*, C. Maltecca n & T. Mackay n

Contributors: F. Morgante n, W. Huang n, P. Sørensen*, C. Maltecca n & T. Mackay n

author keywords: Genomic prediction; Transcriptomic prediction; Gene Ontology informed prediction; Drosophila Genetic Reference Panel; GenPred; Shared data resources
MeSH headings : Animals; Drosophila; Drosophila melanogaster / genetics; Female; Genotype; Male; Models, Genetic; Multifactorial Inheritance; Phenotype; Polymorphism, Single Nucleotide
TL;DR: This study shows that integrating different sources of information can improve prediction accuracy, especially when large samples are not available, as well as a limited number of GO terms were strongly predictive of the traits. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID
Added: January 4, 2021

2020 article

Microbiome composition differences among breeds impact feed efficiency in swine

ResearchSquare.

By: M. Bergamaschi, F. Tiezzi, J. Howard, Y. Huang, K. Gray, C. Schillebeeckx, N. McNulty, C. Maltecca

Contributors: M. Bergamaschi, F. Tiezzi, J. Howard, Y. Huang, K. Gray, C. Schillebeeckx, N. McNulty, C. Maltecca

Source: ORCID
Added: January 12, 2023

2020 journal article

Modeling host-microbiome interactions for the prediction of meat quality and carcass composition traits in swine

GENETICS SELECTION EVOLUTION, 52(1).

By: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix*, M. Bergamaschi n & F. Tiezzi n

Contributors: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix*, M. Bergamaschi n & F. Tiezzi n

MeSH headings : Animals; Female; Gastrointestinal Microbiome; Genome-Wide Association Study / methods; Host-Pathogen Interactions / genetics; Male; Metagenome; Models, Genetic; Polymorphism, Single Nucleotide; Pork Meat / standards; Quantitative Trait, Heritable; RNA, Ribosomal, 16S / genetics; Swine / genetics; Swine / microbiology
TL;DR: Inclusion of microbiome information in the model improved predictive ability of phenotypes for fat deposition and color traits whereas including a genome-by-microbiome term did not improve prediction accuracy significantly, providing novel insight on the use of microbiome Information for the phenotypic prediction of meat quality and carcass traits in swine. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 24, 2020

2020 journal article

Symposium review: Exploiting homozygosity in the era of genomics—Selection, inbreeding, and mating programs

Journal of Dairy Science, 103(6), 5302–5313.

By: C. Maltecca n, F. Tiezzi n, J. Cole* & C. Baes*

Contributors: C. Maltecca n, F. Tiezzi n, J. Cole* & C. Baes*

author keywords: genomic evaluation; inbreeding; mating
MeSH headings : Animal Husbandry; Animals; Breeding; Cattle / genetics; Genomics; Homozygote; Inbreeding; Selection, Genetic
TL;DR: A snapshot of the current dairy selection structure as it relates to response to selection and accumulation of homozygosity is presented, the main approaches currently used to manage inbreeding and overall variability are outlined, and some approaches that can be used in the short term to control accumulation of harmful recessives while maintaining sustained selection pressure are presented. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: April 22, 2020

2020 journal article

The future of phenomics in dairy cattle breeding

ANIMAL FRONTIERS, 10(2), 37–44.

By: J. Cole*, S. Eaglen, C. Maltecca n, H. Mulder* & J. Pryce*

Contributors: J. Cole*, S. Eaglen, C. Maltecca n, H. Mulder* & J. Pryce*

author keywords: analytics; big data; dairy cattle; machine learning; phenomics; sensors
TL;DR: The goal of phenomics is to provide information for making decisions related to on-farm management, as well as genetic improvement on the basis of traits related to animal productivity and effcient resource utilization. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: October 5, 2020

2020 journal article

The interaction between microbiome and pig efficiency: A review

Journal of Animal Breeding and Genetics, 137(1), 4–13.

By: C. Maltecca n, M. Bergamaschi n & F. Tiezzi n

Contributors: C. Maltecca n, M. Bergamaschi n & F. Tiezzi n

author keywords: genetic selection; microbiome; swine
MeSH headings : Animals; Genetic Techniques; Meat; Swine / genetics; Swine / growth & development; Swine / metabolism; Swine / microbiology
TL;DR: Characterizing and accounting for temporal and spatial variability will be a necessary step if microbiome is to be utilized routinely as an aid to selection and standard sampling protocols, sequencing techniques, bioinformatic pipelines and methods of analysis will be paramount for the portability of results across experiments and populations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: October 2, 2019

2020 article

The use of genomic information to improve selection response while controlling inbreeding in dairy cattle breeding programs

ADVANCES IN BREEDING OF DAIRY CATTLE, Vol. 72, pp. 71–96.

By: C. Maltecca*, C. Baes & F. Tiezzi

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 23, 2021

2020 journal article

Transcriptome analysis identifies genes and co-expression networks underlying heat tolerance in pigs

BMC GENETICS, 21(1).

By: Y. He n, C. Maltecca n, F. Tiezzi n, E. Soto n & W. Flowers n

Contributors: Y. He n, C. Maltecca n, F. Tiezzi n, E. Soto n & W. Flowers n

author keywords: Heat stress; Boar sperm quality; Gene expression; Heat tolerance
MeSH headings : Animals; Gene Ontology; Gene Regulatory Networks; Heat-Shock Response / genetics; Male; Semen Analysis; Swine / genetics; Thermotolerance / genetics; Transcriptome
TL;DR: The sensitivity of semen to heat stress is utilized to discriminate the heat-tolerance ability of pigs and provide potential biomarkers for future investigations on the reproductive performance of pigs. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: May 18, 2020

2019 journal article

212 Genomic prediction of carcass average daily gain, fat and loin depth in three-way crossbred pigs including information collected on purebreds

Journal of Animal Science, 97(Supplement_3), 40–40.

By: F. Tiezzi n, C. Schwab, J. Fix & C. Maltecca n

TL;DR: It is concluded that reference populations aimed at improving CB performance should include phenotypes and genotypes from these individuals, with the condition PB are PHS of the CB in validation, otherwise, inclusion of PB information from the training set can be detrimental. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 25, 2024

2019 journal article

213 Genomic selection of carcass quality traits in crossbred pigs using a reference population

Journal of Animal Science, 97(Supplement_3), 41–41.

By: M. Bergamaschi n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

TL;DR: The mean accuracy of BF, LD, and CG increased when records from flow B were included in the training set, whereas the increase of accuracy between models was not significant, and the inclusion of sire genotypes did not improve prediction accuracy significantly. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 25, 2024

2019 journal article

214 Correlation among host gut microbiome and their relationship with meat quality and carcass composition traits of swine

Journal of Animal Science, 97(Supplement_3), 44–44.

By: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

TL;DR: All correlations between alpha_ot and growth, carcass and meat quality traits were weak, and this results may establish a newer approach of genetic evaluation process by utilizing gut microbiome information. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 25, 2024

2019 journal article

216 Contribution of host gut microbiome in prediction of meat quality and carcass composition traits in swine

Journal of Animal Science, 97(Supplement_3), 44–45.

By: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

TL;DR: Higher predictive ability was observed at OT rather than at WEAN and W_15 microbiome information, which may lead to a newer approach to the genetic evaluation program of swine. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 27, 2024

2019 journal article

292 Differential gene expression analysis for piglets supplied dietary prebiotics and arachidonic acid for gastrointestinal disturbances

Journal of Animal Science, 97(Supplement_3), 122–123.

By: Y. He n, S. Jacobi*, C. Maltecca n & J. Odle n

TL;DR: DE genes identified in this study are involved in various signaling pathways with supplied prebiotics significantly changing the gene expression in pigs afflicted with colitis. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: February 20, 2022

2019 journal article

381 Investigation of heat stress on differential gene expression in tolerant and susceptible pigs

Journal of Animal Science, 97(Supplement_3), 144–144.

By: Y. He n, C. Maltecca n, F. Tiezzi n & B. Flowers n

TL;DR: This study contributed to the expression profiles of transcripts and the exploration of novel genes in pigs responding to heat stress by identifying differentially expressed (DE) mRNAs of pigs under different heat-stress environments using whole transcriptomic RNA-seq analyses. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 25, 2024

2019 conference paper

Cattle/Swine

Plant and Animal Genome XXVII Conference. Presented at the Plant and Animal Genome XXVII Conference, San Diego, CA.

By: R. Cockrum & C. Maltecca

Event: Plant and Animal Genome XXVII Conference at San Diego, CA on January 12-16, 2019

Source: NC State University Libraries
Added: February 15, 2024

2019 journal article

Effect of genomic selection on rate of inbreeding and effective population size in North American Holstein and Jersey dairy cattle populations

Journal of Dairy Science, 102(Supplement 1), 291–291.

By: B. Makanjuola, F. Miglior, M. Sargolzaei, C. Maltecca, F. Schenkel & C. Baes

Event: 2019 American Dairy Science Association Annual Meeting at Cincinnati, Ohio on June 23-26, 2019

Source: NC State University Libraries
Added: February 15, 2024

2019 journal article

Exploiting homozygosity in the era of genomics-Runs of homozygosity, inbreeding, and genomic mating programs

Journal of Dairy Science, 102(Supplement 1), 98–99.

By: C. Maltecca, C. Baes & F. Tiezza

Event: 2019 American Dairy Science Association Annual Meeting at Cincinnati, Ohio on June 23-26, 2019

Source: NC State University Libraries
Added: February 15, 2024

2019 article

GWAS and fine-mapping of livability and six disease traits in holstein cattle

BioRxiv.

By: E. Freebern*, D. Santos*, L. Fang*, J. Jiang*, K. Parker Gaddis, G. Liu*, P. Vanraden*, C. Maltecca n, J. Cole*, L. Ma*

Contributors: E. Freebern*, D. Santos*, L. Fang*, J. Jiang*, K. Parker Gaddis, G. Liu*, P. Vanraden*, C. Maltecca n, J. Cole*, L. Ma*

Source: ORCID
Added: January 12, 2023

2019 journal article

Genetic parameters of meat quality, carcass composition, and growth traits in commercial swine

JOURNAL OF ANIMAL SCIENCE, 97(9), 3669–3683.

By: P. Khanal n, C. Maltecca n, C. Schwab, K. Gray* & F. Tiezzi n

Contributors: P. Khanal n, C. Maltecca n, C. Schwab, K. Gray* & F. Tiezzi n

author keywords: carcass; genetic correlations; heritability; meat quality
MeSH headings : Animals; Body Composition / genetics; Body Weight / genetics; Breeding; Female; Genotype; Male; Parity / genetics; Phenotype; Red Meat / standards; Swine / genetics; Swine / growth & development; Swine / physiology
TL;DR: The genetic parameter estimates of this study indicate that a multi-trait approach should be considered for selection programs aimed at meat quality and carcass composition in commercial swine populations. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: November 4, 2019

2019 journal article

Investigation of genetic variation in global DNA methylation in bull semen and its relationship with semen quality and fertility parameters

Journal of Diary Science, 102(Supplement 1), 293–293.

By: Y. He, C. Maltecca, F. Tiezzi, A. Canovas, S. Bhattarai & S. Mckay

Event: 2019 American Dairy Science Association Annual Meeting at Cincinnati, Ohio on June 23-26, 2019

Source: NC State University Libraries
Added: February 15, 2024

2019 article

Leveraging multiple layers of data to predict Drosophila complex traits

BioRxiv.

By: F. Morgante n, W. Huang n, P. S?rensen, C. Maltecca n & T. Mackay n

Contributors: F. Morgante n, W. Huang n, P. Sørensen*, C. Maltecca n & T. Mackay n

Source: ORCID
Added: January 12, 2023

2019 conference paper

Managing Homozygosity and Diversity in Livestock

Plant and Animal Genome XXVII Conference. Presented at the Plant and Animal Genome XXVII Conference, San Diego, CA.

By: C. Maltecca, C. Baes & F. Tiezzi

Event: Plant and Animal Genome XXVII Conference at San Diego, CA on January 12-16, 2019

Source: NC State University Libraries
Added: February 15, 2024

2019 article

Microbiability of meat quality and carcass composition traits in swine

BioRxiv.

By: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

Contributors: P. Khanal n, C. Maltecca n, C. Schwab, J. Fix & F. Tiezzi n

TL;DR: Investigation of the impact of gut microbiome composition at different stages of production on meat quality and carcass composition traits of three-way-crossbred pigs suggested that genomic correlation was partially contributed by genetic similarity of microbiome composition. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2019 journal article

Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms

Scientific Reports, 9(1).

By: C. Maltecca n, D. Lu n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull, F. Tiezzi n

Contributors: C. Maltecca n, D. Lu n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull, F. Tiezzi n

MeSH headings : Algorithms; Animals; Bayes Theorem; Breeding; Female; Machine Learning; Male; Meat; Swine
TL;DR: Average prediction across models is suggested as a robust strategy in fitting microbiome information in fitting models to promote fast growth of individuals while limiting fat accumulation in crossbred pigs. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: June 4, 2019

2019 conference paper

Swine

Plant and Animal Genome XXVII Conference. Presented at the Plant and Animal Genome XXVII Conference, San Diego, CA.

By: C. Maltecca

Event: Plant and Animal Genome XXVII Conference at San Diego, CA on January 12-16, 2019

Source: NC State University Libraries
Added: February 15, 2024

2019 journal article

Symposium review: The genomic architecture of inbreeding: How homozygosity affects health and performance

JOURNAL OF DAIRY SCIENCE, 102(3), 2807–2817.

author keywords: inbreeding; runs of homozygosity; mating programs
MeSH headings : Animals; Breeding; Cattle / genetics; Dairying; Genome; Haplotypes; Homozygote; Inbreeding; Inbreeding Depression; Pedigree; Phenotype; Physical Conditioning, Animal; Reproduction
TL;DR: Traditional measures of inbreeding are described and the recent developments made toward more precise measures of homozygosity using genomic information are discussed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: March 4, 2019

2019 conference paper

The Microbiability of Meat Quality Traits in Swine

Plant and Animal Genome XXVII Conference. Presented at the Plant and Animal Genome XXVII Conference, San Diego, CA.

By: C. Maltecca, C. Schwab, P. Khanal & F. Tiezzi

Event: Plant and Animal Genome XXVII Conference at San Diego, CA on January 12-16, 2019

Source: NC State University Libraries
Added: February 15, 2024

2018 journal article

136 Evidence of Genetic Variation for Recombination Events in Purebred Swine Populations.

Journal of Animal Science, 96(suppl_2), 72–73.

By: H. Wackel n, F. Tiezzi, K. Gray, W. Flowers, Y. Huang & C. Maltecca

Sources: Crossref, ORCID
Added: January 25, 2024

2018 journal article

298 Gut Microbiome Provides A New Source of Variation to Improve Growth Efficiency in Crossbred Pigs.

Journal of Animal Science, 96(suppl_3), 112–113.

By: D. Lu n, F. Tiezzi n & C. Maltecca n

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: January 25, 2024

2018 journal article

305 Genetic parameters of meat quality and carcass composition traits in crossbred swine.

Journal of Animal Science, 96(suppl_3), 116–116.

By: P. Khanal n, C. Maltecca n, C. Schwab, K. Gray & F. Tiezzi n

Sources: Crossref, ORCID
Added: January 25, 2024

2018 journal article

309 Beyond predictions: managing inbreeding and variability in the genomic era.

Journal of Animal Science, 96(suppl_3), 117–118.

By: C. Maltecca n, J. Howard*, C. Baes* & J. Pryce

Sources: Crossref, ORCID
Added: January 27, 2024

2018 journal article

A comparison of accuracy validation methods for genomic and pedigree-based predictions of swine litter size traits using Large White and simulated data

JOURNAL OF ANIMAL BREEDING AND GENETICS, 135(1), 5–13.

By: A. Putz n, F. Tiezzi n, C. Maltecca n, K. Gray & M. Knauer n

Contributors: A. Putz n, F. Tiezzi n, C. Maltecca n, K. Gray & M. Knauer n

author keywords: accuracy comparison; accuracy validation; litter size; piglet mortality; single-step GBLUP
MeSH headings : Animals; Breeding; Female; Genomics; Litter Size / genetics; Male; Models, Statistical; Pedigree; Swine / genetics; Swine / physiology
TL;DR: Results suggest that for within-breed selection, theoretical accuracy using PEV was consistent and accurate and correlating predictions to the corrected phenotypes divided by the square root of the heritability is adequate given a large enough validation data set. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 journal article

Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals

HEREDITY, 120(6), 500–514.

By: F. Morgante n, W. Huang n, C. Maltecca n & T. Mackay n

Contributors: F. Morgante n, W. Huang n, C. Maltecca n & T. Mackay n

MeSH headings : Algorithms; Alleles; Animals; Computer Simulation; Data Interpretation, Statistical; Databases, Genetic; Drosophila melanogaster / genetics; Epistasis, Genetic; Gene Frequency; Genetic Association Studies; Genetic Variation; Genetics, Population; Genome-Wide Association Study / methods; Genotype; Linkage Disequilibrium; Models, Genetic; Quantitative Trait Loci; Quantitative Trait, Heritable; Reproducibility of Results
TL;DR: The results indicate that accounting for genetic architecture can improve prediction accuracy for quantitative traits, especially when predictions are informed by the genetic architecture inferred from mapping the top variants affecting main effects and interactions in the training data, provided there is sufficient power for mapping. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 journal article

Genetic Parameter Estimates for Metabolizing Two Common Pharmaceuticals in Swine

Frontiers in Genetics, 9(FEB).

By: J. Howard n, M. Ashwell n, R. Baynes n, J. Brooks n, J. Yeatts n & C. Maltecca n

Contributors: J. Howard n, M. Ashwell n, R. Baynes n, J. Brooks n, J. Yeatts n & C. Maltecca n

author keywords: swine; pharmacogenomics; heritability; fenbendazole; flunixin meglumine
TL;DR: A low to moderate proportion of the phenotypic variation in metabolizing fenbendazole and flunixin meglumine drug metabolism was explained by genetics in the current study. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2018 conference paper

Genome-wide association study and gene network analysis of fertility, retained placenta, and metritis in US Holstein cattle

Proceedings of the World Congress on Genetics Applied to Livestock Production, 1, 171.

By: J. Cole, K. Gaddis, D. Null, C. Maltecca & J. Clay

Event: World Congress on Genetics Applied to Livestock Production at Auckland, New Zealand on February 11-16, 2018

Source: NC State University Libraries
Added: February 15, 2024

2018 conference paper

Genomic inbreeding estimation from whole genome sequence compared to medium density genomic data estimates

Proceedings of the World Congress on Genetics Applied to Livestock Production, 11, 603.

By: B. Makanjuola, F. Miglior, N. Melzer, M. Sargolzaei, C. Maltecca, A. Fleming, C. Baes

Event: World Congress on Genetics Applied to Livestock Production at Auckland, New Zealand on February 11-19, 2018

Source: NC State University Libraries
Added: January 27, 2024

2018 conference paper

Host Variability and the Longitudinal Diversity of Microbiota Composition in Swine

Plant and Animal Genome XXVI Conference. Presented at the Plant and Animal Genome XXVI Conference, San Diego, CA.

By: C. Maltecca, B. Lu, F. Tiezzi, N. McNulty & C. Schwab

Event: Plant and Animal Genome XXVI Conference at San Diego, CA on January 13-17, 2018

Source: NC State University Libraries
Added: February 15, 2024

2018 journal article

Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth

MICROBIOME, 6(1).

By: D. Lu n, F. Tiezzi n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull, C. Maltecca n

Contributors: D. Lu n, F. Tiezzi n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull, C. Maltecca n

author keywords: Fecal microbiome; Longitudinal changes; Diversity; Genetic parameters
MeSH headings : Animals; Bacteria / classification; Bacteria / genetics; Bacteria / isolation & purification; Breeding; Feces / microbiology; Female; Gastrointestinal Microbiome; Male; Phylogeny; Quantitative Trait Loci; RNA, Ribosomal, 16S / genetics; Sequence Analysis, DNA / methods; Swine; Weaning
TL;DR: Two novel findings are reported: alpha diversity and operational taxonomic unit (OTU) richness were moderately heritable at week 15, whereas very low heritability estimates for both measures were detected at weaning; and alpha diversity at week15 had strong and negative genetic correlations with BF. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 journal article

Identification of unfavourable homozygous haplotypes associated with with milk and fertility traits in Holsteins

Proceedings of the World Congress Genetics Applied Livestock Production, 11, 767.

By: G. Marras, J. Howard, P. Martin, A. Fleming, K. Alves, B. Makanjuola, F. Schenkel, F. Miglior, C. Maltecca, C. Baes

Event: World Congress Genetics Applied Livestock Production at Auckland, New Zealand on February 7-11, 2018

Source: NC State University Libraries
Added: February 15, 2024

2018 journal article

Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle

BMC GENETICS, 19(1).

By: F. Tiezzi n, M. Arceo n, J. Cole* & C. Maltecca n

Contributors: F. Tiezzi n, M. Arceo n, J. Cole* & C. Maltecca n

author keywords: Dystocia; Dairy cattle; Genome-wide association analysis; Biological networks
MeSH headings : Animals; Cattle / genetics; Dystocia / genetics; Dystocia / veterinary; Female; Gene Regulatory Networks; Genome-Wide Association Study; Pelvis; Polymorphism, Single Nucleotide; Pregnancy; Quantitative Trait Loci
TL;DR: Regions identified in the genome were in the proximity of previously described quantitative trait loci that would most likely affect calving difficulty by altering the feto-pelvic proportion and did not outperform regular GBLUP models. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 review

Invited review: Reproductive and genomic technologies to optimize breeding strategies for genetic progress in dairy cattle

[Review of ]. ARCHIVES ANIMAL BREEDING, 61(1), 43–57.

By: A. Fleming, E. Abdalla, C. Maltecca n & C. Baes

Contributors: A. Fleming, E. Abdalla, C. Maltecca n & C. Baes

TL;DR: A number of technologies that have helped shape dairy breeding programs in the past and present, along with those potentially forthcoming are reviewed, including genotyping and sequencing, genetic modification, and epigenetics. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 conference paper

Metagenomic predictions of growth and carcass traits in pigs with the use of bayesian alphabet and machine learning methods

Proceedings of the World Congress of Genetics Applied to Livestock Production. Presented at the World Congress of Genetics Applied to Livestock Production, Auckland, New Zealand.

By: C. Maltecca, D. Lu, F. Tiezzi, C. Schillebeeckx, N. McNulty, C. Schwab, C. Shull

Event: World Congress of Genetics Applied to Livestock Production at Auckland, New Zealand on February 11-16, 2018

Source: NC State University Libraries
Added: February 15, 2024

2018 conference paper

Microbiome Contribute Significantly to Variation in Fat and Growth Traits in Crossbred Pigs?

Proceedings of the World Congress on Genetics Applied to Livestock Production, 2, 614.

By: D. Lu, F. Tiezzi, C. Schillebeeckx, N. McNulty, C. Schwab & C. Maltecca

Event: World Congress on Genetics Applied to Livestock Production at Auckland, New Zealand on February 11-16, 2018

Source: NC State University Libraries
Added: February 15, 2024

2018 conference paper

On the value of genotyping terminal crossbred pigs for nucleus genomic selection for carcass traits

Proceedings of the World Congress Genetics Applied to Livestock Production. Presented at the World Congress Genetics Applied to Livestock Production, Auckland, New Zealand.

By: A. Sewel, H. Li, C. Schwab, C. Maltecca & F. Tiezzi

Event: World Congress Genetics Applied to Livestock Production at Auckland, New Zealand on February 11-16, 2018

Source: NC State University Libraries
Added: February 15, 2024

2018 article

Predicting growth and carcass traits in swine using metagenomic data and machine learning algorithms

BioRxiv.

By: C. Maltecca n, D. Lu n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Schull, F. Tiezzi n

Contributors: C. Maltecca n, D. Lu n, C. Schillebeeckx, N. McNulty, C. Schwab, C. Schull, F. Tiezzi n

TL;DR: Impaired microbiome composition can effectively be used as a predictor of growth and composition traits, particularly for fatness traits, and average prediction across models is suggested as a robust strategy in fitting metagenomic information. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2018 conference paper

Swine

Plant and Animal Genome XXVI Conference. Presented at the Plant and Animal Genome XXVI Conference, San Diego, CA.

By: C. Tuggle & C. Maltecca

Event: Plant and Animal Genome XXVI Conference at San Diego, CA on January 13-17, 2018

Source: NC State University Libraries
Added: February 15, 2024

2017 chapter

A Review of Linear Mixed Models

In Genetic Data Analysis for Plant and Animal Breeding (pp. 49–86).

By: F. Isik n, J. Holland n & C. Maltecca n

Sources: Crossref, ORCID
Added: January 27, 2024

2017 article

A heuristic method to identify runs of homozygosity associated with reduced performance in livestock

BioRxiv.

By: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

Contributors: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

TL;DR: On average across simulated and swine datasets the IIL regression coefficient was more closely related to progeny performance than any genome-wide inbreeding metric. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2017 journal article

A heuristic method to identify runs of homozygosity associated with reduced performance in livestock

Journal of Animal Science, 95(10), 4318–4332.

By: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

Contributors: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

author keywords: inbreeding; runs of homozygosity; swine
MeSH headings : Algorithms; Animals; Computer Simulation; Female; Genome / genetics; Genomics; Haplotypes; Heuristics; Homozygote; Inbreeding; Linear Models; Linkage Disequilibrium; Male; Phenotype; Swine / genetics; Swine / physiology
Source: ORCID
Added: March 30, 2022

2017 journal article

BREEDING AND GENETICS SYMPOSIUM: Resilience of livestock to changing environments

JOURNAL OF ANIMAL SCIENCE, 95(4), 1777–1779.

By: J. Cole*, M. Bormann*, C. Gill*, H. Khatib*, J. Koltes*, C. Maltecca n, F. Miglior*

Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 chapter

Breeding Values

In Genetic Data Analysis for Plant and Animal Breeding (pp. 107–140).

By: F. Isik n, J. Holland n & C. Maltecca n

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: January 27, 2024

2017 journal article

Breeding and genetics symposium: Resilience of livestock to changing environments

Journal of Animal Science, 95(4), 1777–1779.

By: J. Cole, J. Bormann, C. Gill, H. Khatib, J. Koltes, C. Maltecca*, F. Miglior

Contributors: J. Cole, J. Bormann, C. Gill, H. Khatib, J. Koltes, C. Maltecca*, F. Miglior

Source: ORCID
Added: January 12, 2023

2017 conference paper

Design of breeding strategies for feed efficiency and methane emissions in Holstein using ZPLAN+

Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science, 183–183.

By: K. Houlahan, S. Beard, F. Miglior, C. Richardson, C. Maltecca, B. Gredler, C. Baes

Sources: NC State University Libraries, ORCID
Added: February 15, 2024

2017 journal article

Dietary prebiotics and arachidonic acid alter intestinal phospholipid composition and time-dependently change fecal microbiome in formula-fed piglets

FASEB Journal, 31.

By: M. Thorpe, L. Xi, C. Maltecca, K. Walters, A. Smith, J. Odle, S. Jacobi

Source: NC State University Libraries
Added: August 6, 2018

2017 chapter

Exploratory Marker Data Analysis

In Genetic Data Analysis for Plant and Animal Breeding (pp. 263–285).

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter demonstrates the use of base R and the synbreed package of R to process an example data set from a maritime pine breeding population. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 27, 2024

2017 journal article

Gene co-expression network analysis identifies porcine genes associated with variation in metabolizing fenbendazole and flunixin meglumine in the liver

Scientific Reports, 7(1).

By: J. Howard n, M. Ashwell n, R. Baynes n, J. Brooks n, J. Yeatts n & C. Maltecca n

Contributors: J. Howard n, M. Ashwell n, R. Baynes n, J. Brooks n, J. Yeatts n & C. Maltecca n

MeSH headings : Animals; Antinematodal Agents / pharmacokinetics; Clonixin / analogs & derivatives; Clonixin / pharmacokinetics; Female; Fenbendazole / pharmacokinetics; Gene Expression; Gene Expression Profiling; Gene Expression Regulation; Gene Regulatory Networks; Liver / drug effects; Liver / metabolism; Male; Sus scrofa / genetics; Transcriptome
TL;DR: The objective was to identify individual genes and gene networks involved in metabolizing fenbendazole (FBZ) and flunixin meglumine (FLU) in swine liver to allow for greater insight into FBZ and FLU metabolism. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2017 book

Genetic Data Analysis for Plant and Animal Breeding

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter introduces ASReml stand alone and a brief introduction to AsReml-R in this chapter, which is flexible to fit complex variance structures in mixed models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: February 9, 2019

2017 conference paper

Genetics and genomics of swine lean growth at the interface between host and commensal gut bacteria

Proceedings of the 22nd Association for the Advancement of Animal Breeding and Genetics Conference, 221–228.

By: C. Maltecca, B. Lu & F. Tiezzi

Event: Association for the Advancement of Animal Breeding and Genetics Conference at Townsville, Queensland, Australia on July 2-5, 2017

Source: NC State University Libraries
Added: February 15, 2024

2017 journal article

Geno-Diver: A combined coalescence and forward-in-time simulator for populations undergoing selection for complex traits

JOURNAL OF ANIMAL BREEDING AND GENETICS, 134(6), 553–563.

By: J. Howard n, F. Tiezzi n, J. Pryce* & C. Maltecca n

Contributors: J. Howard n, F. Tiezzi n, J. Pryce* & C. Maltecca n

author keywords: Animal breeding; fitness; quantitative genetics; simulation
MeSH headings : Animals; Breeding / methods; Computer Simulation; Female; Genetics, Population; Genomics; Male; Pedigree; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Selection, Genetic; Software
TL;DR: This work benchmarked Geno-Diver with a previous simulation program and described how to simulate a traditional quantitative trait along with a quantitative and fitness trait. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 chapter book

Genomic Relationships and GBLUP

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter introduces the concept of using the genomic relationships derived from markers for prediction of genetic merit of individuals, and provides some examples. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 25, 2024

2017 journal article

Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle

JOURNAL OF DAIRY SCIENCE, 100(3), 2042–2056.

By: F. Tiezzi n, G. Campos*, K. Gaddis* & C. Maltecca n

Contributors: F. Tiezzi n, G. Campos*, K. Parker Gaddis* & C. Maltecca n

author keywords: genotype by environment interaction; genomic prediction; reproducing kernel Hilbert space regression; reaction norm model
MeSH headings : Animals; Breeding; Cattle / genetics; Climate; Environment; Female; Gene-Environment Interaction; Genome; Genomics; Genotype; Lactation / genetics; Male; Milk / metabolism; Phenotype
TL;DR: The methodology used is promising in accounting for G × E in genomic predictions, but challenges exist in identifying a unique set of covariates capable of describing the entire variety of environments. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 chapter

Imputing Missing Genotypes

In Genetic Data Analysis for Plant and Animal Breeding (pp. 287–309).

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: The chapter is not intended as a rigorous treatment of the use and implications of imputation in breeding values prediction, but rather as a brief overview of some common strategies currently employed. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 27, 2024

2017 chapter

Introduction to ASReml Software

In Genetic Data Analysis for Plant and Animal Breeding (pp. 1–48).

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter introduces ASReml stand alone and a brief introduction to AsReml-R in this chapter, which is flexible to fit complex variance structures in mixed models. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 27, 2024

2017 review

Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability

[Review of ]. JOURNAL OF DAIRY SCIENCE, 100(8), 6009–6024.

By: J. Howard n, J. Pryce*, C. Baes* & C. Maltecca n

Contributors: J. Howard n, J. Pryce*, C. Baes* & C. Maltecca n

author keywords: inbreeding; genomics
MeSH headings : Animals; Cattle / genetics; Genomics; Inbreeding; Inbreeding Depression; Pedigree; Polymorphism, Single Nucleotide
TL;DR: The widespread incorporation of genomic information in dairy cattle genetic evaluations allows for the opportunity to develop and implement methods to manage populations at the genomic level, allowing genome-wide relationship or inbreeding estimates to be augmented to characterize relationships for specific regions of the genome. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 chapter

Multi Environmental Trials

In Genetic Data Analysis for Plant and Animal Breeding (pp. 227–262).

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter compares an unstructured matrix that involves separate parameters for genetic variance within each environment and for genetic correlations between each pair of environments to more parsimonious models, such as factor analytic structures, which require fewer parameters. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 27, 2024

2017 chapter

Multivariate Models

In Genetic Data Analysis for Plant and Animal Breeding (pp. 165–201).

By: F. Isik n, J. Holland n & C. Maltecca n

Sources: Crossref, ORCID
Added: January 27, 2024

2017 journal article

Rumination time as a potential predictor of common diseases in high-productive Holstein dairy cows

Journal of Dairy Research, 84(4), 385–390.

author keywords: Rumination; animal welfare; dairy cow; predictive model
MeSH headings : Animals; Cattle; Cattle Diseases / diagnosis; Cattle Diseases / physiopathology; Dairying / methods; Female; Gastrointestinal Diseases / diagnosis; Gastrointestinal Diseases / veterinary; Lactation; Mastitis, Bovine / diagnosis; Rumination, Digestive / physiology; Time Factors
TL;DR: The results are encouraging, but further work is needed if these models are to become useful predictors of various common diseases of high producing dairy cows and hence improve herd management and animal wellbeing. (via Semantic Scholar)
Sources: Crossref, ORCID, Web Of Science
Added: August 6, 2018

2017 chapter

Spatial Analysis

In Genetic Data Analysis for Plant and Animal Breeding (pp. 203–226).

By: F. Isik n, J. Holland n & C. Maltecca n

Sources: Crossref, ORCID
Added: January 27, 2024

2017 journal article

The relationship between different measures of feed efficiency and feeding behavior traits in Duroc pigs

Journal of Animal Science, 95(8), 3370–3380.

By: D. Lu, S. Jiao*, F. Tiezzi, M. Knauer*, Y. Huang, K. Gray, maltecca

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

The relationship between different measures of feed efficiency and feeding behavior traits in Duroc pigs

Journal of Animal Science, 95(8), 3370–3380.

By: D. Lu n, S. Jiao n, F. Tiezzi n, M. Knauer n, Y. Huang, K. Gray n, C. Maltecca n

Contributors: D. Lu n, S. Jiao n, F. Tiezzi n, M. Knauer n, Y. Huang, K. Gray n, C. Maltecca n

author keywords: feed efficiency; feeding behavior; social interaction; variance components
MeSH headings : Animals; Eating; Feeding Behavior; Male; Phenotype; Swine / physiology
TL;DR: This work suggested that accounting for the social common pen effect was important for estimating genetic parameters of traits recorded by the automated feeding system, and Residual BW gain and RIG appeared to be two robust measures of feed efficiency. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: March 30, 2022

2017 chapter

Variance Modeling in ASReml

In Genetic Data Analysis for Plant and Animal Breeding (pp. 87–106).

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter introduces the major variance models to form more complex R and G structures with some examples, but more detailed applications of variance modeling will be covered in later chapters. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 27, 2024

2016 journal article

028 The use of alternative genomic metrics in swine nucleus herds to manage the diversity of purebred and crossbred animals

Journal of Animal Science, 94(suppl_2), 13–13.

By: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: January 27, 2024

2016 journal article

029 Mitigating the effect of seasonality on sow reproductive performance using genetic selection

Journal of Animal Science, 94(suppl_2), 14–14.

By: M. Bryan n, C. Maltecca n, K. Gray, Y. Huang & F. Tiezzi n

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: January 27, 2024

2016 journal article

0301 A combined coalescence forward in time simulator software for pedigreed populations undergoing selection for complex traits

Journal of Animal Science, 94(suppl_5), 143–144.

By: J. Howard n, F. Tiezzi n, J. Pryce & C. Maltecca n

Sources: Crossref, ORCID
Added: January 27, 2024

2016 journal article

0387 Daily rumination time in Italian Holstein cows: Heritability and correlation with milk production

Journal of Animal Science, 94(suppl_5), 187–188.

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID
Added: January 27, 2024

2016 article

A method for the identification of unfavorable haplotypes contained within runs of homozygosity that impact fitness traits and its application to different swine nucleus lines.

Howard, J. T., Tiezzi, F., Huang, Y., Gray, K. A., & Maltecca, C. (2016, September). JOURNAL OF ANIMAL SCIENCE, Vol. 94, pp. 26–27.

By: J. Howard*, F. Tiezzi, Y. Huang, K. Gray & C. Maltecca*

author keywords: swine; inbreeding depression; fitness
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

Benchmarking dairy herd health status using routinely recorded herd summary data

JOURNAL OF DAIRY SCIENCE, 99(2), 1298–1314.

By: K. Gaddis*, J. Cole*, J. Clay* & C. Maltecca n

Contributors: K. Parker Gaddis*, J. Cole*, J. Clay* & C. Maltecca n

author keywords: herd health status; producer-recorded data; prediction; benchmarking
MeSH headings : Animals; Benchmarking; Cattle / physiology; Cattle Diseases / epidemiology; Dairying / methods; Environment; Female; Health Status; Logistic Models; Reproduction
TL;DR: It is concluded that benchmarking health status using routinely collected herd data is feasible and data mining techniques were able to perform prediction of health status and could add evidence to personal experience in herd management. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

Causal relationships between clinical mastitis events, milk yields and lactation persistency in US Holsteins

LIVESTOCK SCIENCE, 189, 8–16.

By: K. Dhakal*, F. Tiezzi n, J. Clay* & C. Maltecca n

Contributors: K. Dhakal*, F. Tiezzi n, J. Clay* & C. Maltecca n

author keywords: Causal effects; Mastitis; Milk yield; Structural equation models
TL;DR: The main objective of the study was to use producer-recorded health data to examine the causal relationship between mastitis events, milk yield and lactation persistency and elicited the causal effect among mastitis and production traits that evolve over the course of cow life. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny

GENETICS SELECTION EVOLUTION, 48(1).

By: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

Contributors: J. Howard n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

MeSH headings : Animals; Breeding / methods; Computer Simulation; Crosses, Genetic; Female; Genome; Genotype; Heterozygote; Homozygote; Hybrid Vigor; Inheritance Patterns; Linkage Disequilibrium; Male; Models, Genetic; Pedigree; Polymorphism, Single Nucleotide; Swine
TL;DR: It is shown that long stretches of ROH present in the parents persist in crossbred animals and using genomic information to constrain parental relationships resulted in maintaining more genetic diversity and more effectively targeted low diversity regions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2016 journal article

The use of multiple imputation for the accurate measurements of individual feed intake by electronic feeders

Journal of Animal Science, 94(2), 824–832.

By: S. Jiao n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

Contributors: S. Jiao n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

author keywords: electronic feeders; feed intake; multiple imputation
MeSH headings : Animal Feed / analysis; Animals; Data Interpretation, Statistical; Feeding Behavior / physiology; Feeding Methods / veterinary; Linear Models; Models, Biological; Research Design / statistics & numerical data; Swine / genetics; Swine / physiology
TL;DR: Several imputation methods consistently performed better than LMM regardless of the cutoff criteria applied to define errors, and were proposed as a more accurate and flexible method for error adjustments in feed intake data collected by electronic feeders. (via Semantic Scholar)
Source: ORCID
Added: March 30, 2022

2015 journal article

A Genome-Wide Association Study for Clinical Mastitis in First Parity US Holstein Cows Using Single-Step Approach and Genomic Matrix Re-Weighting Procedure

PLOS ONE, 10(2).

By: F. Tiezzi n, K. Parker-Gaddis n, J. Cole*, J. Clay* & C. Maltecca n

Contributors: F. Tiezzil, K. Parker-Gaddis n, J. Cole*, J. Clay* & C. Maltecca n

MeSH headings : Animals; Cattle; Chromosomes, Mammalian / genetics; Female; Genome-Wide Association Study; Mastitis, Bovine / genetics; Polymorphism, Single Nucleotide; Quantitative Trait Loci; United States
TL;DR: A genome-wide association study for CM in first-lactation Holstein confirmed that CM follows a highly polygenic mode of inheritance, and candidate QTL for CM were identified in the US Holstein population. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix

GENETICS SELECTION EVOLUTION, 47(1).

By: F. Tiezzi n & C. Maltecca n

Contributors: F. Tiezzi n & C. Maltecca n

MeSH headings : Algorithms; Animals; Breeding; Cattle / genetics; Genome; Genome-Wide Association Study; Genomics / methods; Genotype; Linkage Disequilibrium; Models, Genetic; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Regression Analysis; Selection, Genetic
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 conference paper

Benchmarking cow health status with dairy herd summary data

Proceedings of the 21st Conference of the Association for the Advancement of Animal Breeding and Genetics (AAABG), 366–369. Victoria, Australia: Association for the Advancement of Animal Breeding and Genetics.

By: K. Gaddis, J. Cole, J. Clay & C. Maltecca

Event: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics (AAABG) at Lorne, Victoria, Australia on September 28-30, 2015

Source: NC State University Libraries
Added: February 15, 2024

2015 journal article

Causal relationships between milk quality and coagulation properties in Italian Holstein-Friesian dairy cattle

GENETICS SELECTION EVOLUTION, 47(1).

By: F. Tiezzi n, B. Valente*, M. Cassandro* & C. Maltecca n

Contributors: F. Tiezzi n, B. Valente*, M. Cassandro* & C. Maltecca n

MeSH headings : Animals; Caseins / analysis; Cattle; Chymosin; Dairying; Genetic Variation; Italy; Milk / chemistry; Milk / standards
TL;DR: This study suggests that selection for RCT and a30 should not be performed on correlated traits such as SCS or CAS but on direct measures because the ability of milk to coagulate is improved through the causal effect that the former play on the latter, rather than from a common source of genetic variation. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations

BMC GENOMICS, 16(1).

Contributors: J. Howard n, C. Maltecca n, M. Haile-Mariam*, B. Hayes* & J. Pryce*

author keywords: Dairy cattle; Runs of homozygosity; Signature of selection
MeSH headings : Animals; Australia; Cattle / genetics; Dairying; Female; Genetic Variation; Genome; Genome-Wide Association Study; Homozygote; Male; New Zealand; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Selective Breeding; United States
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Comparison between different statistical models for the prediction of direct genetic component on embryo establishment and survival in Italian Brown Swiss dairy cattle

LIVESTOCK SCIENCE, 180, 6–13.

Contributors: F. Tiezzi n, C. Maltecca n, A. Cecchinato* & G. Bittante*

author keywords: Bull fertility; Heritability; Model comparison; Threshold model
TL;DR: To infer variance components and heritability for the direct component on embryo establishment and survival related traits and to compare different statistical models in terms of goodness-of-fit and predictive ability, data from the Italian Brown Swiss population reared in the Alps was used. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Differential Gene Expression across Breed and Sex in Commercial Pigs Administered Fenbendazole and Flunixin Meglumine

PLOS ONE, 10(9), e0137830.

By: J. Howard n, A. O’Nan n, C. Maltecca n, R. Baynes n & M. Ashwell n

Contributors: J. Howard n, . A.T. O'Nan n, C. Maltecca n, R. Baynes n & M. Ashwell n

Ed(s): F. Kobeissy

MeSH headings : Animals; Breeding; Clonixin / analogs & derivatives; Clonixin / pharmacology; Cytochrome P-450 Enzyme System / genetics; Female; Fenbendazole / pharmacology; Gene Expression Regulation / drug effects; Male; Orchiectomy; Real-Time Polymerase Chain Reaction; Sus scrofa / genetics
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2015 journal article

Genetic Architecture of Micro-Environmental Plasticity in Drosophila melanogaster

Scientific Reports, 5(1).

Contributors: F. Morgante*, P. Sørensen*, D. Sorensen*, C. Maltecca* & T. Mackay*

MeSH headings : Acclimatization / genetics; Animals; Cell Plasticity / genetics; Drosophila Proteins / genetics; Drosophila melanogaster / genetics; Ecosystem; Gene-Environment Interaction; Genetic Fitness / genetics; Quantitative Trait Loci / genetics
TL;DR: This work quantified genetic variation for micro-environmental plasticity for three quantitative traits in the inbred, sequenced lines of the Drosophila melanogaster Genetic Reference Panel and identified several candidate genes associated with micro-Environmental plasticity of startle response, including Drosophile Hsp90. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2015 journal article

Genome-wide association study on legendre random regression coefficients for the growth and feed intake trajectory on Duroc Boars

BMC GENETICS, 16(1).

By: J. Howard n, S. Jiao n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

Contributors: J. Howard n, S. Jiao n, F. Tiezzi n, Y. Huang, K. Gray & C. Maltecca n

author keywords: Swine; Random regression; Genome wide-association study; Growth and feed intake
MeSH headings : Animals; Body Weight; Eating; Genetic Association Studies; Genome-Wide Association Study; Quantitative Trait Loci; Quantitative Trait, Heritable; Swine
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Genomic prediction of disease occurrence using producer-recorded health data: a comparison of methods

GENETICS SELECTION EVOLUTION, 47(1).

By: K. Gaddis n, F. Tiezzi n, J. Cole*, J. Clay* & C. Maltecca n

Contributors: K. Parker Gaddis n, F. Tiezzi n, J. Cole*, J. Clay* & C. Maltecca n

MeSH headings : Animals; Bayes Theorem; Breeding / methods; Cattle; Dairying; Female; Genomics / methods; Mastitis, Bovine / epidemiology; Mastitis, Bovine / genetics; Selection, Genetic
TL;DR: Investigation of the predictive ability of two-stage and single-step genomic selection methods applied to health data collected from on-farm computer systems in the U.S. found single-step methods have several advantages compared to two-step methods; however, the latter led to the smallest number of wrong predictions. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Identification and validation of copy number variants in Italian Brown Swiss dairy cattle using Illumina Bovine SNP50 Beadchip (R)

ITALIAN JOURNAL OF ANIMAL SCIENCE, 14(3), 552-+.

By: A. Bagnato*, M. Strillacci*, L. Pellegrino*, F. Schiavini*, E. Frigo*, A. Rossoni, L. Fontanesi*, . maltecca n ...

Contributors: A. Bagnato*, M. Strillacci*, L. Pellegrino*, F. Schiavini*, E. Frigo*, A. Rossoni, L. Fontanesi*, C. Maltecca n, R. Prinsen*, M. Dolezal

author keywords: CNV; Italian Brown Swiss breed; Illumina Bovine SNP50 BeadChip (R); qPCR
TL;DR: This study allowed the identification of CNVRs in Italian Brown Swiss, overlapping those already detected in other breeds and finding additional ones, thus producing new knowledge for association studies with traits of interest in cattle. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Inferring causal relationships between reproductive and metabolic health disorders and production traits in first-lactation US Holsteins using recursive models

JOURNAL OF DAIRY SCIENCE, 98(4), 2713–2726.

By: K. Dhakal n, F. Tiezzi n, J. Clay* & C. Maltecca n

Contributors: K. Dhakal n, F. Tiezzi n, J. Clay* & C. Maltecca n

author keywords: causal effect; health; persistency; structural equation model
MeSH headings : Animals; Bayes Theorem; Cattle; Cattle Diseases / genetics; Female; Lactation / genetics; Metabolic Diseases / genetics; Metabolic Diseases / veterinary; Models, Biological; Pregnancy; Reproduction / genetics; Retrospective Studies
TL;DR: It is concluded that a health disorder occurring in early lactation has a moderate causal effect on the reproductive or metabolic health disorders occurring in later lactation, and the results obtained suggest that reproductive and metabolic health disorder and culling due to metabolic and reproductive diseases have strong causal relationships. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Investigation of regions impacting inbreeding depression and their association with the additive genetic effect for United States and Australia Jersey dairy cattle

BMC GENOMICS, 16(1).

By: J. Howard n, M. Haile-Mariam, J. Pryce & C. Maltecca n

Contributors: J. Howard n, M. Haile-Mariam, J. Pryce & C. Maltecca n

MeSH headings : Animals; Australia; Cattle; Female; Genome-Wide Association Study; Genomics; Genotype; Humans; Inbreeding; Lactation / genetics; Milk; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci / genetics; United States
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 conference paper

Regions impacting inbreeding depression and their association with additive genetic effects for jersey cattle from the United States of America and Australia

Proceedings of the 21st Association for the Advancement of Animal Breeding and Genetics Conference, 21, 346–349.

By: J. Howard, J. Pryce, M. Haile-Mariam & C. Maltecca

Event: 21st Association for the Advancement of Animal Breeding and Genetics Conference at Lorne, Victoria, Australia on September 28-30, 2015

Source: NC State University Libraries
Added: February 15, 2024

2015 journal article

Short communication: Genomic selection for hoof lesions in first-parity US Holsteins

JOURNAL OF DAIRY SCIENCE, 98(5), 3502–3507.

By: K. Dhakal n, F. Tiezzi n, J. Clay* & C. Maltecca n

Contributors: K. Dhakal n, F. Tiezzi n, J. Clay* & C. Maltecca n

author keywords: genomic selection; hoof lesions; reliability
MeSH headings : Animals; Cattle; Cattle Diseases / genetics; Female; Foot Diseases / genetics; Foot Diseases / veterinary; Genomics; Hoof and Claw / metabolism; Parity; Pedigree; Phenotype; Pregnancy; Selection, Genetic; United States
TL;DR: Pedigree- and genomic-based univariate analyses were conducted to estimate the variance components and heritability of infectious and noninfectious hoof lesions of US Holsteins and confirmed low genetic correlations between hoof lesion traits and hoof type traits along with productive life and net merit. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Variance component estimates for alternative litter size traits in swine

JOURNAL OF ANIMAL SCIENCE, 93(11), 5153–5163.

By: A. Putz n, F. Tiezzi n, C. Maltecca n, K. Gray & M. Knauer n

Contributors: A. Putz n, F. Tiezzi n, C. Maltecca n, K. Gray & M. Knauer n

author keywords: birth weight; genetic correlation; litter size at d 5; piglet survival
MeSH headings : Animals; Birth Weight / genetics; Breeding; Female; Genetic Variation; Lactation / genetics; Litter Size / genetics; Parturition / genetics; Phenotype; Pregnancy; Swine / genetics; Swine / physiology; Weaning
TL;DR: Litter size at d 10 would be a compromise between gain in litter size at weaning and minimizing the potentially negative effects of the nurse dam and direct additive genetics of the piglets, as they are expected to increase throughout lactation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 conference paper

A multifaceted approach to the use of genomic selection in new traits

Proceedings of the 10th World Congress of Genetics Applied to Livestock Production. Presented at the 10th World Congress of Genetics Applied to Livestock Production, Vancouver, BC, Canada.

By: C. Maltecca

Event: 10th World Congress of Genetics Applied to Livestock Production at Vancouver, BC, Canada on August 17-22, 2014

Source: NC State University Libraries
Added: February 15, 2024

2014 conference paper

Causal Relationships Between Milk Yield, Body Condition Score and Fertility in Italian Holstein Friesian Dairy Cattle

Proceedings, 10th World Congress of Genetics Applied to Livestock Production. Presented at the 10th World Congress of Genetics Applied to Livestock Production, Vancouver, BC, Canada.

By: M. Battagin, F. Tiezzi, M. Cassandro & C. Maltecca

Event: 10th World Congress of Genetics Applied to Livestock Production at Vancouver, BC, Canada on August 17-22, 2014

Source: NC State University Libraries
Added: January 27, 2024

2014 journal article

Feed intake, average daily gain, feed efficiency, and real-time ultrasound traits in Duroc pigs: I. Genetic parameter estimation and accuracy of genomic prediction

JOURNAL OF ANIMAL SCIENCE, 92(6), 2377–2386.

By: S. Jiao n, C. Maltecca n, K. Gray & J. Cassady n

Contributors: S. Jiao n, C. Maltecca n, K. Gray & J. Cassady n

author keywords: Duroc; genetic parameters; genomic prediction; growth and feed efficiency; ultrasound traits
MeSH headings : Animals; Female; Genomics; Genotype; Male; Models, Biological; Pedigree; Swine / genetics; Swine / physiology; Weight Gain / genetics; Weight Gain / physiology
TL;DR: Investigation of heritability and genetic correlations for growth, feed efficiency, and real-time ultrasound traits using both pedigree and marker information and accuracy of genomic prediction for those traits using Bayes A prediction models in a Duroc terminal sire population indicated selection solely on growth traits may lead to an undesirable increase in feed intake, back fat, and reduced feed efficiency. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

Feed intake, average daily gain, feed efficiency, and real-time ultrasound traits in Duroc pigs: II. Genomewide association

Journal of Animal Science, 92(7), 2846–2860.

By: S. Jiao n, maltecca, K. Gray & J. Cassady n

Contributors: S. Jiao n, C. Maltecca n, K. Gray & J. Cassady n

MeSH headings : Adiposity / genetics; Adiposity / physiology; Animal Feed; Animals; Digestion / genetics; Digestion / physiology; Eating / genetics; Eating / physiology; Genome-Wide Association Study / veterinary; Haplotypes / genetics; Muscle, Skeletal / diagnostic imaging; Polymorphism, Single Nucleotide / genetics; Quantitative Trait Loci / genetics; Quantitative Trait, Heritable; Swine / genetics; Swine / growth & development; Swine / physiology; Ultrasonography; Weight Gain / genetics; Weight Gain / physiology
TL;DR: Several genomic regions associated with traits affecting nutrient utilization that could be considered for future genomic prediction to improve feed utilization are identified. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2014 journal article

Genetic Analysis of Diallel Progeny Test Data Using Factor Analytic Linear Mixed Models

FOREST SCIENCE, 60(1), 119–127.

By: F. Ogut n, C. Maltecca n, R. Whetten n, S. McKeand n & F. Isik*

Contributors: F. Ogut n, C. Maltecca n, R. Whetten n, S. Mckeand n & F. Isik*

author keywords: Pinus taeda; heritability; genotype x environment interactions; accuracy of predictions; heterogeneous covariance structures
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 conference paper

Genetic Analysis of Micro-environmental Plasticity in Drosophila melanogaster

Proceedings, 10th World Congress of Genetics Applied to Livestock Production. Presented at the 10th World Congress of Genetics Applied to Livestock Production, Vancouver, BC, Canada.

By: F. Morgante, D. Sorensen, P. Sørensen, C. Maltecca & T. Mackay

Event: 10th World Congress of Genetics Applied to Livestock Production at Vancouver, BC, Canada on August 17-22, 2014

Source: NC State University Libraries
Added: January 27, 2024

2014 journal article

Genetic parameters for milk yield and persistency in Carora dairy cattle breed using random regression model

ITALIAN JOURNAL OF ANIMAL SCIENCE, 13(4).

By: E. Tullo*, S. Biffani*, C. Maltecca n & R. Rizzi*

Contributors: E. Tullo*, S. Biffani*, C. Maltecca n & R. Rizzi*

author keywords: Random regression models; Persistency; Dairy cattle; Tropics; Carora breed
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 conference paper

Genome-Wide Association Study For Growth And Feed Intake in Duroc boars Utilizing Random Regression Models

Proceedings, 10th World Congress of Genetics Applied to Livestock Production. Presented at the 10th World Congress of Genetics Applied to Livestock Production., Vancouver, BC, Canada.

By: J. Howard, F. Tiezzi, S. Jiao, K. Gray & C. Maltecca

Event: 10th World Congress of Genetics Applied to Livestock Production. at Vancouver, BC, Canada on August 17-22, 2014

Source: NC State University Libraries
Added: January 27, 2024

2014 conference paper

Genomic prediction using a weighted relationship matrix to account for trait architecture in US Holstein cattle

Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. Presented at the 10th World Congress on Genetics Applied to Livestock Production, Vancouver, BC, Canada.

By: F. Tiezzi & C. Maltecca

Event: 10th World Congress on Genetics Applied to Livestock Production at Vancouver, BC, Canada on August 18-22, 2014

Source: NC State University Libraries
Added: February 15, 2024

2014 journal article

Genomic selection for producer-recorded health event data in US dairy cattle

JOURNAL OF DAIRY SCIENCE, 97(5), 3190–3199.

By: K. Gaddis n, J. Cole*, J. Clay* & C. Maltecca n

Contributors: K. Parker Gaddis n, J. Cole*, J. Clay* & C. Maltecca n

author keywords: dairy cattle; health; genomic selection
MeSH headings : Animals; Breeding; Cattle / genetics; Cattle Diseases / genetics; Dairying / economics; Endometritis / veterinary; Female; Genomics; Ketosis / veterinary; Lameness, Animal / genetics; Mastitis, Bovine / genetics; Milk; Parity; Pedigree; Phenotype; Placenta, Retained / veterinary; Pregnancy; Quantitative Trait, Heritable; Reproducibility of Results; Selection, Genetic / genetics; United States
TL;DR: It was concluded that genetic selection for health traits using producer-recorded data are feasible in the United States, and that the inclusion of genomic data substantially improves reliabilities for these traits. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

Progression of Gene Expression Changes following a Mechanical Injury to Articular Cartilage as a Model of Early Stage Osteoarthritis

Arthritis, 2014, 1–9.

By: R. McCulloch n, M. Ashwell n, C. Maltecca n, A. O'Nan n & P. Mente n

TL;DR: Changes in differential gene expression suggest that the more physiologically relevant shear loading may initially be more damaging to the cartilage and induces more repair efforts after loading. (via Semantic Scholar)