scholarly journals Occurrence of heat waves and the prediction of feed intake of sows raised in a tropical environment

2020 ◽  
Vol 49 ◽  
Author(s):  
Amanda Aparecida Brito ◽  
Ricardo Braga da Silva ◽  
João Paulo Rodrigues Bueno ◽  
Fernanda Gatti de Oliveira Nascimento ◽  
Cíntia Amaral Moraes ◽  
...  
2021 ◽  
pp. 104657
Author(s):  
Ittipong Khamtawee ◽  
Komsit Singdamrong ◽  
Pradubdao Tatanan ◽  
Pavarisa Chongpaisarn ◽  
Natchanon Dumniem ◽  
...  

Author(s):  
J. Chang-Fung-Martel ◽  
M. T. Harrison ◽  
J. N. Brown ◽  
R. Rawnsley ◽  
A. P. Smith ◽  
...  

AbstractChanges in frequency and severity of heat waves due to climate change pose a considerable challenge to livestock production systems. Although it is well known that heat stress reduces feed intake in cattle, effects of heat stress vary between animal genotypes and climatic conditions and are context specific. To derive a generic global prediction that accounts for the effects of heat stress across genotypes, management and environments, we conducted a systematic literature review and a meta-analysis to assess the relationship between dry matter intake (DMI) and the temperature-humidity index (THI), two reliable variables for the measurement of feed intake and heat stress in cattle, respectively. We analysed this relationship accounting for covariation in countries, breeds, lactation stage and parity, as well as the efficacy of various physical cooling interventions. Our findings show a significant negative correlation (r =  − 0.82) between THI and DMI, with DMI reduced by 0.45 kg/day for every unit increase in THI. Although differences in the DMI-THI relationship between lactating and non-lactating cows were not significant, effects of THI on DMI varied between lactation stages. Physical cooling interventions (e.g. provision of animal shade or shelter) significantly alleviated heat stress and became increasingly important after THI 68, suggesting that this THI value could be viewed as a threshold for which cooling should be provided. Passive cooling (shading) was more effective at alleviating heat stress compared with active cooling interventions (sprinklers). Our results provide a high-level global equation for THI-DMI across studies, allowing next-users to predict effects of heat stress across environments and animal genotypes.


2000 ◽  
Vol 31 (8-9) ◽  
pp. 691-702 ◽  
Author(s):  
S Teshima ◽  
M Ishikawa ◽  
S Koshio

2020 ◽  
Vol 82 ◽  
pp. 149-160
Author(s):  
N Kargapolova

Numerical models of the heat index time series and spatio-temporal fields can be used for a variety of purposes, from the study of the dynamics of heat waves to projections of the influence of future climate on humans. To conduct these studies one must have efficient numerical models that successfully reproduce key features of the real weather processes. In this study, 2 numerical stochastic models of the spatio-temporal non-Gaussian field of the average daily heat index (ADHI) are considered. The field is simulated on an irregular grid determined by the location of weather stations. The first model is based on the method of the inverse distribution function. The second model is constructed using the normalization method. Real data collected at weather stations located in southern Russia are used to both determine the input parameters and to verify the proposed models. It is shown that the first model reproduces the properties of the real field of the ADHI more precisely compared to the second one, but the numerical implementation of the first model is significantly more time consuming. In the future, it is intended to transform the models presented to a numerical model of the conditional spatio-temporal field of the ADHI defined on a dense spatio-temporal grid and to use the model constructed for the stochastic forecasting of the heat index.


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