Literature DB >> 11003247

Genetic component of heat stress in dairy cattle, parameter estimation.

O Ravagnolo1, I Misztal.   

Abstract

Our data included 119,205 first-parity, test-day records from 15,002 Holsteins in 134 Georgia farms with temperature and humidity data from 21 weather stations throughout Georgia. The test-day model included the effects of herd test date, days-in-milk (DIM) classes, age, milking frequency, general additive effect, random regression on the heat-humidity index for heat-tolerance additive effect, general permanent environment, and the random regression on the heat-humidity index for a permanent environment. The general effects, which corresponded to effects in the current repeatability models, were assumed to be correlated with the heat-tolerance effects. Variance components were estimated by REML. For heat-humidity indices below 72, heritability for milk was 0.17, and additive variance of heat tolerance was 0. For a heat-humidity index of 86 (which would correspond to temperatures of 36 degrees C at 50% humidity), the additive variance of heat tolerance was as high as for general effect, and the genetic correlation between the two effects was -0.36. Results for fat and protein were similar. Current selection for production reduces heat tolerance. Joint selection for heat tolerance and production is possible.

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Year:  2000        PMID: 11003247     DOI: 10.3168/jds.S0022-0302(00)75095-8

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


  40 in total

1.  A novel SNP of the ATP1A1 gene is associated with heat tolerance traits in dairy cows.

Authors:  Yanxin Liu; Daqi Li; Huixia Li; Xuan Zhou; Genlin Wang
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2.  Evaluation of heat stress on Tarentaise and Holstein cow performance in the Mediterranean climate.

Authors:  Rahma Bellagi; Bruno Martin; Chantal Chassaing; Taha Najar; Dominique Pomiès
Journal:  Int J Biometeorol       Date:  2017-02-02       Impact factor: 3.787

3.  Changing climate in Hungary and trends in the annual number of heat stress days.

Authors:  Norbert Solymosi; Csaba Torma; Anikó Kern; Akos Maróti-Agóts; Zoltán Barcza; László Könyves; Olaf Berke; Jeno Reiczigel
Journal:  Int J Biometeorol       Date:  2010-01-08       Impact factor: 3.787

4.  The effect of body weight on some welfare indicators in feedlot cattle in a hot environment.

Authors:  Serdal Dikmen; Hakan Ustuner; Abdulkadir Orman
Journal:  Int J Biometeorol       Date:  2011-05-01       Impact factor: 3.787

5.  Random regression models to account for the effect of genotype by environment interaction due to heat stress on the milk yield of Holstein cows under tropical conditions.

Authors:  Mário L Santana; Annaiza Braga Bignardi; Rodrigo Junqueira Pereira; Alberto Menéndez-Buxadera; Lenira El Faro
Journal:  J Appl Genet       Date:  2015-07-09       Impact factor: 3.240

6.  Genotype × prenatal and post-weaning nutritional environment interaction in a composite beef cattle breed using reaction norms and a multi-trait model.

Authors:  El Hamidi Hay; Andy Roberts
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

7.  Postpartum endocrine activities, metabolic attributes and milk yield are influenced by thermal stress in crossbred dairy cows.

Authors:  Muhammad Subhan Qureshi; Syed Muhammad Suhail; Sohail Akhtar; Rifat Ullah Khan
Journal:  Int J Biometeorol       Date:  2017-04-10       Impact factor: 3.787

8.  Genotype effects on body temperature in dairy cows under grazing conditions in a hot climate including evidence for heterosis.

Authors:  S Dikmen; L Martins; E Pontes; P J Hansen
Journal:  Int J Biometeorol       Date:  2009-03-05       Impact factor: 3.787

9.  Characterizing the acute heat stress response in gilts: I. Thermoregulatory and production variables.

Authors:  J T Seibert; K L Graves; B J Hale; A F Keating; L H Baumgard; J W Ross
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

10.  A validated genome wide association study to breed cattle adapted to an environment altered by climate change.

Authors:  Ben J Hayes; Phil J Bowman; Amanda J Chamberlain; Keith Savin; Curt P van Tassell; Tad S Sonstegard; Mike E Goddard
Journal:  PLoS One       Date:  2009-08-18       Impact factor: 3.240

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