Analysis of the effects of thermal stress on milk production in a humid tropical climate using linear and non-linear models

Pramod, S; Sahib, Lasna; B, Bibin Becha; Venkatachalapathy, R. Thirupathy

doi:10.1007/s11250-020-02525-x

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Thus, the lower the value (close to zero), the better performance of the approach. R 2 and RMSE have been broadly used in the evaluation of climatic or hydrological models (Fan et al, 2015(Fan et al, , 2016(Fan et al, , 2017Wang and Huang, 2015;Zhou et al, 2018;Sun et al, 2019;Zhai et al, 2019;Duan et al, 2020;Li et al, 2020;Pramod et al, 2021). To assess the ability of the developed approach in reproducing the observations, the R 2 and RMSE were used in this study and expressed as follows:…”

Section: Stepwise-clustered Simulation Approach For Projecting Future Heat Wavesmentioning

confidence: 99%

A Stepwise-Clustered Simulation Approach for Projecting Future Heat Wave Over Guangdong Province

Ren

Huang

et al. 2021

Front. Ecol. Evol.

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A heat wave is an important meteorological extreme event related to global warming, but little is known about the characteristics of future heat waves in Guangdong. Therefore, a stepwise-clustered simulation approach driven by multiple global climate models (i.e., GCMs) is developed for projecting future heat waves over Guangdong under two representative concentration pathways (RCPs). The temporal-spatial variations of four indicators (i.e., intensity, total intensity, frequency, and the longest duration) of projected heat waves, as well as the potential changes in daily maximum temperature (i.e., Tmax) for future (i.e., 2006–2095) and historical (i.e., 1976–2005) periods, were analyzed over Guangdong. The results indicated that Guangdong would endure a notable increasing annual trend in the projected Tmax (i.e., 0.016–0.03°C per year under RCP4.5 and 0.027–0.057°C per year under RCP8.5). Evaluations of the multiple GCMs and their ensemble suggested that the developed approach performed well, and the model ensemble was superior to any single GCM in capturing the features of heat waves. The spatial patterns and interannual trends displayed that Guangdong would undergo serious heat waves in the future. The variations of intensity, total intensity, frequency, and the longest duration of heat wave are likely to exceed 5.4°C per event, 24°C, 25 days, and 4 days in the 2080s under RCP8.5, respectively. Higher variation of those would concentrate in eastern and southwestern Guangdong. It also presented that severe heat waves with stronger intensity, higher frequency, and longer duration would have significant increasing tendencies over all Guangdong, which are expected to increase at a rate of 0.14, 0.83, and 0.21% per year under RCP8.5, respectively. Over 60% of Guangdong would suffer the moderate variation of heat waves to the end of this century under RCP8.5. The findings can provide decision makers with useful information to help mitigate the potential impacts of heat waves on pivotal regions as well as ecosystems that are sensitive to extreme temperature.

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Section: Stepwise-clustered Simulation Approach For Projecting Future Heat Wavesmentioning

confidence: 99%

A Stepwise-Clustered Simulation Approach for Projecting Future Heat Wave Over Guangdong Province

Ren

Huang

et al. 2021

Front. Ecol. Evol.

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Evaluation of heat stress threshold and impacts on milk yield in dairy cattle crossbreds in a hot and humid climate

Michael

Cruz

Nor

et al. 2023

Theor Appl Climatol

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Impact of Heat Stress on Milk Yield, Milk Fat-to-Protein Ratio, and Conception Rate in Thai–Holstein Dairy Cattle: A Phenotypic and Genetic Perspective

Boonkum,

Teawyoneyong,

Chankitisakul

et al. 2024

Animals

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Heat stress severely affects dairy cattle production and reproduction performances in tropical regions. Genetic selection to maintain adequate yield and reproductive performance while enhancing their ability to withstand heat is essential for improving the genetics of dairy cows. Therefore, in this study, we aimed to estimate genetic parameters affecting production and reproduction performances under heat stress conditions in dairy cattle and to investigate the threshold point of heat stress for milk yield (MY), milk fat-to-protein ratio (FPR), and conception rate (CR) in Thai–Holstein dairy cattle. The data included 168,124 records related to MY and milk FPR and 21,278 records of CR in Thai–Holstein dairy cattle, covering the period from 1990 to 2007. A multiple-trait threshold-linear random regression model based on a Bayesian approach via Gibbs sampling was used to estimate variance components, genetic parameters (heritability values, and genetic correlations), and decline rates for each studied trait. The threshold point of heat stress was identified as a temperature and humidity index (THI) of 76. At THI76, a decline was observed in the MY, milk FPR, and CR of Thai dairy cattle. The heritability estimates for MY, milk FPR and CR were 0.347 ± 0.032, 0.293 ± 0.021, and 0.032 ± 0.001, respectively. The genetic correlation between MY and milk FPR and MY and CR were −0.24 and −0.53, respectively, whereas those between milk FPR and heat tolerance as well as between CR and heat tolerance were −0.48 and −0.49, respectively. In addition, the decline rates in MY, milk FPR, and CR were found to be associated with a high percentage of Holstein genetics. In conclusion, the results obtained in this study reveal that the simultaneous consideration of the MY, milk FPR, CR, and heat tolerance traits of Thai–Holstein dairy cattle is possible. In addition, developing a genetic model that incorporates THI is essential for sustainably addressing heat stress problems.

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Analysis of the effects of thermal stress on milk production in a humid tropical climate using linear and non-linear models

Cited by 3 publications

References 19 publications

A Stepwise-Clustered Simulation Approach for Projecting Future Heat Wave Over Guangdong Province

A Stepwise-Clustered Simulation Approach for Projecting Future Heat Wave Over Guangdong Province

Evaluation of heat stress threshold and impacts on milk yield in dairy cattle crossbreds in a hot and humid climate

Impact of Heat Stress on Milk Yield, Milk Fat-to-Protein Ratio, and Conception Rate in Thai–Holstein Dairy Cattle: A Phenotypic and Genetic Perspective

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