Literature DB >> 28341050

Development of genetic and genomic evaluation for wellness traits in US Holstein cows.

N Vukasinovic1, N Bacciu2, C A Przybyla3, P Boddhireddy3, S K DeNise3.   

Abstract

In March 2016, Zoetis Genetics offered the first commercially available evaluation for wellness traits of Holstein dairy cattle. Phenotypic data on health events, pedigree, and genotypes were collected directly from producers upon obtaining their permission. Among all recorded health events, 6 traits were chosen to be included in the evaluation: mastitis, metritis, retained placenta, displaced abomasum, ketosis, and lameness. Each trait was defined as a binary event, having a value of 1 if a cow has been recorded with a disorder at any point during the lactation and zero otherwise. The number of phenotypic records ranged from 1.8 million for ketosis to 4.1 million for mastitis. Over 14 million pedigree records and 114,216 genotypes were included in the evaluation. All traits were analyzed using univariate threshold animal model with repeated observations, including fixed effect of parity and random effects of herd by year by season of calving, animal, and permanent environment. A total of 45,425 single nucleotide polymorphisms were used in the genomic analyses. Animals genotyped with low-density chips were imputed to the required number of single nucleotide polymorphisms. All analyses were based on the single-step genomic BLUP, a method that combines phenotype, pedigree, and genotype information. Predicted transmitting abilities were expressed in percentage points as a difference from the average estimated probability of a disorder in the base population. Reliabilities of breeding values were obtained by approximation based on partitioning of a function of reliability into contributions from records, pedigree, and genotypes. Reliabilities of genomic predicted transmitting abilities for young genotyped and pedigreed females without recorded health events had average values between 50.2% (displaced abomasum) and 51.9% (mastitis). Genomic predictions for wellness traits can provide new information about an animal's genetic potential for health and new selection tools for dairy wellness improvement.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cattle; reliability; single-step genomic BLUP; wellness traits

Mesh:

Year:  2016        PMID: 28341050     DOI: 10.3168/jds.2016-11520

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  6 in total

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2.  Grand Challenge Animal Reproduction-Theriogenology: From the Bench to Application to Animal Production and Reproductive Medicine.

Authors:  Ahmed Tibary
Journal:  Front Vet Sci       Date:  2017-07-17

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4.  Genomic Prediction for Abortion in Lactating Holstein Dairy Cows.

Authors:  Robert Wijma; Daniel J Weigel; Natascha Vukasinovic; Dianelys Gonzalez-Peña; Shaileen P McGovern; Brenda C Fessenden; Anthony K McNeel; Fernando A Di Croce
Journal:  Animals (Basel)       Date:  2022-08-15       Impact factor: 3.231

5.  Negative Energy Balance Influences Nutritional Quality of Milk from Czech Fleckvieh Cows due Changes in Proportion of Fatty Acids.

Authors:  Jaromír Ducháček; Luděk Stádník; Martin Ptáček; Jan Beran; Monika Okrouhlá; Matúš Gašparík
Journal:  Animals (Basel)       Date:  2020-03-27       Impact factor: 2.752

6.  Genomic Prediction for Twin Pregnancies.

Authors:  Shaileen P McGovern; Daniel J Weigel; Brenda C Fessenden; Dianelys Gonzalez-Peña; Natascha Vukasinovic; Anthony K McNeel; Fernando A Di Croce
Journal:  Animals (Basel)       Date:  2021-03-16       Impact factor: 2.752

  6 in total

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