Estimation of genetic parameters for heat stress, including dominance gene effects, on milk yield in Thai Holstein dairy cattle

2014 ◽  
Vol 86 (3) ◽  
pp. 245-250 ◽  
Author(s):  
Wuttigrai Boonkum ◽  
Monchai Duangjinda
2016 ◽  
Vol 50 (1) ◽  
pp. 64-70 ◽  
Author(s):  
Gebregziabher Gebreyohannes ◽  
Skorn Koonawootrittriron ◽  
Mauricio A. Elzo ◽  
Thanathip Suwanasopee

2017 ◽  
Vol 100 (8) ◽  
pp. 6337-6342 ◽  
Author(s):  
J.B. Clasen ◽  
E. Norberg ◽  
P. Madsen ◽  
J. Pedersen ◽  
M. Kargo

2021 ◽  
Vol 34 (2) ◽  
pp. 163-171 ◽  
Author(s):  
Renata Negri ◽  
Ignacio Aguilar ◽  
Giovani Luis Feltes ◽  
Juliana Dementshuk Machado ◽  
José Braccini Neto ◽  
...  

Objective: Considering the importance of dairy farming and the negative effects of heat stress, more tolerant genotypes need to be identified. The objective of this study was to investigate the effect of heat stress via temperature-humidity index (THI) and diurnal temperature variation (DTV) in the genetic evaluations for daily milk yield of Holstein dairy cattle, using random regression models.Methods: The data comprised 94,549 test-day records of 11,294 first parity Holstein cows from Brazil, collected from 1997 to 2013, and bioclimatic data (THI and DTV) from 18 weather stations. Least square linear regression models were used to determine the THI and DTV thresholds for milk yield losses caused by heat stress. In addition to the standard model (SM, without bioclimatic variables), THI and DTV were combined in various ways and tested for different days, totaling 41 models.Results: The THI and DTV thresholds for milk yield losses was THI = 74 (–0.106 kg/d/THI) and DTV = 13 (–0.045 kg/d/DTV). The model that included THI and DTV as fixed effects, considering the two-day average, presented better fit (–2logL, Akaike information criterion, and Bayesian information criterion). The estimated breeding values (EBVs) and the reliabilities of the EBVs improved when using this model.Conclusion: Sires are re-ranking when heat stress indicators are included in the model. Genetic evaluation using the mean of two days of THI and DTV as fixed effect, improved EBVs and EBVs reliability.


2014 ◽  
Vol 7 (12) ◽  
pp. 1094-1098 ◽  
Author(s):  
Saroj Kumar Sahoo ◽  
Avtar Singh ◽  
A. K. Gupta ◽  
A. K. Chakravarty ◽  
Manvendra Singh ◽  
...  

Author(s):  
Rachael Vriezen

Abstract As climate change progresses, higher temperatures and longer periods of extreme weather are likely to increasingly impact the production and health of dairy cattle, in turn affecting farm-level profits and economic decision-making. This review identifies and summarizes the currently available research on the effect of climate-related heat stress or heat stress mitigation measures on milk yield, mortality, and economic parameters on dairy farms. A scoping review approach was adopted to map the volume, range, and characteristics of the existing body of evidence and to identify research gaps. Through a comprehensive search, 286 studies published between 2010 and 2020 were identified and underwent data extraction and analysis. These studies were conducted in 46 countries, and encompassed both research and non-research herds as well as simulation models. The Temperature-Humidity Index (THI) was the most common indicator of heat stress, although a range of atmospheric, physiological, and descriptive indicators were used. Three-quarters of these studies examined at least one heat stress mitigation strategy, such as genetic manipulations, mechanical interventions, and diet manipulation. Approximately 97% of studies evaluated the impact of heat stress on milk yield, and 10% of studies examined at least one economic parameter. Research gaps exist in the analysis of economic parameters related to heat stress in dairy cattle. Given the urgent and increasing nature of climate challenges, additional economic analyses of the effects of heat stress in dairy cattle are needed to inform production and animal health decisions in a rapidly changing environment.


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