Temporal–Spatial Distribution of Risky Sites for Feeding Cattle in China Based on Temperature/Humidity Index

Wang, Ting; Zhong, Rongzhen; Zhou, Daowei

doi:10.3390/agriculture10110571

Cited by 6 publications

(6 citation statements)

References 68 publications

(44 reference statements)

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“…In a recent report, it is revealed that monthly mean THI values were the highest in July and the lowest in January for all regions of mainland China. The THI was derived from climate data (1987 to 2016) at 839 meteorological stations [17]. Our study also shows that the highest THI MEAN value was in June and the lowest was in January (Figure 1B).…”

Section: Discussionsupporting

confidence: 57%

Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

Hossain¹,

Salam²,

Ahmed³

et al. 2022

Preprint

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Global warming has been increasing heat stress threat in animals which can be monitored by Temperature Humidity Index (THI). The present study describes the relationship of THI, calculated using 35 years period weather station data, and production performances of dairy cattle in a se-lected area of Bangladesh. The month January and June were identified as the coolest and hottest, respectively. Based on this outcome, every year in the month of January and June production performances of 10 crossbred cows with homogenous characteristics were monitored for a period of 5 years. The average THIMEAN value was found 17% higher in June as compared to January, and with this increment of THIMEAN average milk production was decreased 24.4% (p<0.05). The milk fat and protein content were also reduced (p<0.05) by 14.5 and 15.2%, respectively suggesting negative correlation as like as milk production. However, ash content was increased 15.3% that indicates a positive correlation. In addition, multiple regression analysis revealed each point increase in THIMEAN and rectal temperature, there was a decrease in milk yield 0.04 and 1.17 kg ECM, respectively. In contrary, each point increase in THIMEAN resulted 0.059 C increase of rectal temperature. Taken together, THIMEAN value calculated using metrological station data has distinct relationship with the production performances of lactating crossbred dairy cows.

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Section: Discussionsupporting

confidence: 57%

Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

Hossain¹,

Salam²,

Ahmed³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In a recent report, it is revealed that monthly mean THI values were the highest in July and the lowest in January for all regions of mainland China. The THI was derived from climate data (from 1987 to 2016) at 839 meteorological stations [19]. Our study shows that the average THI MEAN values in the months of June, July, and August were very close; however, the highest THI MEAN value was recorded in June (Figure 2B).…”

Section: Discussionmentioning

confidence: 66%

Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

et al. 2022

View full text Add to dashboard Cite

Global warming has been increasing heat stress threat in animals, which can be monitored via the Temperature Humidity Index (THI). The present study describes the THI pattern and the relationship between THI and the production performances of dairy cows in a selected area of Bangladesh. The THI value was calculated using weather station data gathered over 35 years. Based on the THI pattern, January and June were identified as the coolest and hottest months, respectively. Consequently, the production performances of 10 crossbred cows with homogenous characteristics were monitored every January and June for a 5-year period. The average THIMEAN was found to be 17% higher in June when compared to January; with this increment of THIMEAN, average milk production was decreased by 24.4% (p < 0.05). The milk fat and protein content were also reduced (p < 0.05) by 14.5 and 15.2%, respectively, suggesting a negative correlation. However, ash content increased by 15.3%, which indicates a positive correlation. In addition, multiple regression analysis revealed that, with each point increase in THIMEAN and rectal temperature, there was a decrease in milk yield of 0.04 and 1.17 kg ECM, respectively. In contrary, each point increase in THIMEAN resulted in 0.059 °C increase of rectal temperature. Taken together, THIMEAN calculated using meteorological station data has a distinct relationship with the production performances of lactating crossbred dairy cows.

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“…In cattle farming, the suitable environment temperature range for milk production is 5-25°C; when the upper limit is exceeded, the cow's body temperature exceeds the animals' heat regulation ability resulting in physiological responses such as decreased forage intake (Wang et al, 2020). However, other parameters require special attention to measure animal welfare, such as wind speed, solar radiation, and precipitation.…”

Section: Introductionmentioning

confidence: 99%

3D numerical modeling of THI distribution in livestock structures: a cattle barn case study

et al. 2023

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In dairy cattle farming, heat stress largely impairs production, health, and animal welfare. The goal of this study is to develop a workflow and a numerical analysis procedure to provide a real-time 3D distribution of the THI in a generic cattle barn based on temperature and humidity monitored in sample points, besides characterizing the relationship between indoor THI and outside weather conditions. This research was carried out with reference to the study case of a cattle barn. A model has been developed to define the indoor three-dimensional spatial distribution of the Temperature-Humidity Index of a cattle barn, based on environmental measurements at different heights of the building. As a core of the model, the Discrete Sibson Interpolation method was used to render a point cloud that represents the THI values in the non-sampled areas. The area between 1-2 meters was emphasized as the region of greatest interest to quantify the heat waves perceived by dairy cows. The model represents an effective tool to distinguish different areas of the animal occupied zone characterized by different values of THI.

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Temporal–Spatial Distribution of Risky Sites for Feeding Cattle in China Based on Temperature/Humidity Index

Cited by 6 publications

References 68 publications

Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

3D numerical modeling of THI distribution in livestock structures: a cattle barn case study

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