Literature DB >> 28711268

Short communication: Implementation of a breeding value for heat tolerance in Australian dairy cattle.

Thuy T T Nguyen1, Phil J Bowman2, Mekonnen Haile-Mariam3, Gert J Nieuwhof4, Benjamin J Hayes5, Jennie E Pryce2.   

Abstract

Excessive ambient temperature and humidity can impair milk production and fertility of dairy cows. Selection for heat-tolerant animals is one possible option to mitigate the effects of heat stress. To enable selection for this trait, we describe the development of a heat tolerance breeding value for Australian dairy cattle. We estimated the direct genomic values of decline in milk, fat, and protein yield per unit increase of temperature-humidity index (THI) using 46,726 single nucleotide polymorphisms and a reference population of 2,236 sires and 11,853 cows for Holsteins and 506 sires and 4,268 cows for Jerseys. This new direct genomic value is the Australian genomic breeding value for heat tolerance (HT ABVg). The components of the HT ABVg are the decline in milk, fat, and protein per unit increase in THI when THI increases above the threshold of 60. These components are weighted by their respective economic values, assumed to be equivalent to the weights applied to milk, fat, and protein yield in the Australian selection indices. Within each breed, the HT ABVg is then standardized to have a mean of 100 and standard deviation (SD) of 5, which is consistent with the presentation of breeding values for many other traits in Australia. The HT ABVg ranged from -4 to +3 SD in Holsteins and -3 to +4 SD in Jerseys. The mean reliabilities of HT ABVg among validation sires, calculated from the prediction error variance and additive genetic variance, were 38% in both breeds. The range in ABVg and their reliability suggests that HT can be improved using genomic selection. There has been a deterioration in the genetic trend of HT, and to moderate the decline it is suggested that the HT ABVg should be included in a multitrait economic index with other traits that contribute to farm profit.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  genomic selection; heat tolerance; milk production

Mesh:

Substances:

Year:  2017        PMID: 28711268     DOI: 10.3168/jds.2017-12898

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


  10 in total

Review 1.  Improving Genomic Selection for Heat Tolerance in Dairy Cattle: Current Opportunities and Future Directions.

Authors:  Evans K Cheruiyot; Mekonnen Haile-Mariam; Benjamin G Cocks; Jennie E Pryce
Journal:  Front Genet       Date:  2022-06-13       Impact factor: 4.772

2.  Spatially explicit estimation of heat stress-related impacts of climate change on the milk production of dairy cows in the United Kingdom.

Authors:  Nándor Fodor; Andreas Foskolos; Cairistiona F E Topp; Jon M Moorby; László Pásztor; Christine H Foyer
Journal:  PLoS One       Date:  2018-05-08       Impact factor: 3.240

3.  Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters.

Authors:  Sigfredo Fuentes; Claudia Gonzalez Viejo; Brendan Cullen; Eden Tongson; Surinder S Chauhan; Frank R Dunshea
Journal:  Sensors (Basel)       Date:  2020-05-24       Impact factor: 3.576

Review 4.  Genetic Improvement in South African Livestock: Can Genomics Bridge the Gap Between the Developed and Developing Sectors?

Authors:  Esté van Marle-Köster; Carina Visser
Journal:  Front Genet       Date:  2018-08-23       Impact factor: 4.599

5.  Length of lags in responses of milk yield and somatic cell score on test day to heat stress in Holsteins.

Authors:  Koichi Hagiya; Ikumi Bamba; Takefumi Osawa; Yamato Atagi; Naozumi Takusari; Fumiaki Itoh; Takeshi Yamazaki
Journal:  Anim Sci J       Date:  2019-02-27       Impact factor: 1.749

Review 6.  The Impact of Heat Load on Cattle.

Authors:  Angela M Lees; Veerasamy Sejian; Andrea L Wallage; Cameron C Steel; Terry L Mader; Jarrod C Lees; John B Gaughan
Journal:  Animals (Basel)       Date:  2019-06-06       Impact factor: 2.752

7.  Whole Genome Mapping Reveals Novel Genes and Pathways Involved in Milk Production Under Heat Stress in US Holstein Cows.

Authors:  Anil Sigdel; Rostam Abdollahi-Arpanahi; Ignacio Aguilar; Francisco Peñagaricano
Journal:  Front Genet       Date:  2019-10-04       Impact factor: 4.599

8.  Differential expression analyses reveal extensive transcriptional plasticity induced by temperature in New Zealand silver trevally (Pseudocaranx georgianus).

Authors:  Noemie Valenza-Troubat; Marcus Davy; Roy Storey; Matthew J Wylie; Elena Hilario; Peter Ritchie; Maren Wellenreuther
Journal:  Evol Appl       Date:  2022-01-22       Impact factor: 5.183

9.  Functionally prioritised whole-genome sequence variants improve the accuracy of genomic prediction for heat tolerance.

Authors:  Evans K Cheruiyot; Mekonnen Haile-Mariam; Benjamin G Cocks; Iona M MacLeod; Raphael Mrode; Jennie E Pryce
Journal:  Genet Sel Evol       Date:  2022-02-19       Impact factor: 4.297

10.  The effect of high temperature and humidity on milk yield in Ankole and crossbred cows.

Authors:  Yvan Bienvenu Niyonzima; Erling Strandberg; Claire D'Andre Hirwa; Maximilian Manzi; Martin Ntawubizi; Lotta Rydhmer
Journal:  Trop Anim Health Prod       Date:  2022-02-03       Impact factor: 1.559

  10 in total

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