Kristen L. Parker

Works (3)

Updated: July 5th, 2023 15:48

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)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2012 journal article

Application of multiple shrinkage methods to genomic predictions

JOURNAL OF ANIMAL SCIENCE, 90(6), 1777–1787.

By: C. Maltecca n , K. Parker n & J. Cassady n

Contributors: C. Maltecca n , K. Parker n & J. Cassady n

MeSH headings : Animals; Bayes Theorem; Cattle; Cluster Analysis; Computer Simulation; Female; Genomics; Male; Models, Genetic; Quantitative Trait Loci
TL;DR: Results suggested a relatively small advantage in multiple shrinkage models could represent a useful alternative to current methods of prediction; however, their performance in a variety of scenarios needs to be investigated further. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2010 review

Accomplishments and new challenges in dairy genetic evaluations

[Review of ]. ITALIAN JOURNAL OF ANIMAL SCIENCE, 9(4), 360–368.

By: C. Maltecca n , K. Parker n & M. Cassandro *

Contributors: C. Maltecca n , K. Parker n & M. Cassandro *

author keywords: Genetic improvement; Statistical methods; Livestock animals; Dairy sector; Review
TL;DR: The collection and analysis of several types of phenotypic data to evaluate genetic merit will continue to be the most important tool for genetic progress in the foreseeable future. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

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