Works (3)

Updated: July 5th, 2023 15:45

2015 journal article

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

GENETICS SELECTION EVOLUTION, 47(1).

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

2014 journal article

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

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

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

2012 journal article

Incidence validation and relationship analysis of producer-recorded health event data from on-farm computer systems in the United States

JOURNAL OF DAIRY SCIENCE, 95(9), 5422–5435.

author keywords: dairy cattle; health; path analysis
MeSH headings : Animals; Cattle; Cattle Diseases / epidemiology; Dairying / methods; Incidence; Phenotype; Records; United States
TL;DR: Most health events reported had incidence rates lower than the average incidence rate found in the literature, which may partially represent underreporting by dairy farmers who record disease events only when a treatment or other intervention is required. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

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