Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective
Heat stress (HS) in dairy cattle triggers systemic physiological disruptions, including milk yield decline, immune suppression, and reproductive dysfunction, jeopardizing sustainable livestock production. While conventional single-omics or phenotypic studies have provided fragmented insights, they f...
| Published in: | Agriculture |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/14/1477 |
| _version_ | 1849377534544707584 |
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| author | Zhiyi Xiong Lin Li Kehui Ouyang Mingren Qu Qinghua Qiu |
| author_facet | Zhiyi Xiong Lin Li Kehui Ouyang Mingren Qu Qinghua Qiu |
| author_sort | Zhiyi Xiong |
| collection | DOAJ |
| container_title | Agriculture |
| description | Heat stress (HS) in dairy cattle triggers systemic physiological disruptions, including milk yield decline, immune suppression, and reproductive dysfunction, jeopardizing sustainable livestock production. While conventional single-omics or phenotypic studies have provided fragmented insights, they fail to decipher the multi-layered regulatory networks and gene–environment interactions underlying HS. This review integrates current knowledge on HS-induced physiological responses and molecular adaptations in dairy cattle from a multi-omics perspective, highlighting integrative approaches that combine IoT-enabled monitoring and AI-driven genetic improvement strategies. However, key challenges persist, such as complexities in bioinformatic data integration, CRISPR off-target effects, and ethical controversies. Future directions will emphasize the development and application of AI-aided predictive models to enable precision breeding, thereby advancing climate-resilient genetic improvement in dairy cattle. |
| format | Article |
| id | doaj-art-cbce1b17a909477fbcbac2f7804bc70e |
| institution | Directory of Open Access Journals |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-cbce1b17a909477fbcbac2f7804bc70e2025-08-20T03:55:49ZengMDPI AGAgriculture2077-04722025-07-011514147710.3390/agriculture15141477Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics PerspectiveZhiyi Xiong0Lin Li1Kehui Ouyang2Mingren Qu3Qinghua Qiu4Jiangxi Province Key Laboratory of Animal Nutrition and Feed, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, ChinaJiangxi Province Key Laboratory of Animal Nutrition and Feed, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, ChinaJiangxi Province Key Laboratory of Animal Nutrition and Feed, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, ChinaJiangxi Province Key Laboratory of Animal Nutrition and Feed, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, ChinaJiangxi Province Key Laboratory of Animal Nutrition and Feed, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, ChinaHeat stress (HS) in dairy cattle triggers systemic physiological disruptions, including milk yield decline, immune suppression, and reproductive dysfunction, jeopardizing sustainable livestock production. While conventional single-omics or phenotypic studies have provided fragmented insights, they fail to decipher the multi-layered regulatory networks and gene–environment interactions underlying HS. This review integrates current knowledge on HS-induced physiological responses and molecular adaptations in dairy cattle from a multi-omics perspective, highlighting integrative approaches that combine IoT-enabled monitoring and AI-driven genetic improvement strategies. However, key challenges persist, such as complexities in bioinformatic data integration, CRISPR off-target effects, and ethical controversies. Future directions will emphasize the development and application of AI-aided predictive models to enable precision breeding, thereby advancing climate-resilient genetic improvement in dairy cattle.https://www.mdpi.com/2077-0472/15/14/1477acclimationdairy cattleheat stressinduction mechanismmitigation strategymulti-omics |
| spellingShingle | Zhiyi Xiong Lin Li Kehui Ouyang Mingren Qu Qinghua Qiu Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective acclimation dairy cattle heat stress induction mechanism mitigation strategy multi-omics |
| title | Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective |
| title_full | Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective |
| title_fullStr | Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective |
| title_full_unstemmed | Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective |
| title_short | Deciphering Heat Stress Mechanisms and Developing Mitigation Strategies in Dairy Cattle: A Multi-Omics Perspective |
| title_sort | deciphering heat stress mechanisms and developing mitigation strategies in dairy cattle a multi omics perspective |
| topic | acclimation dairy cattle heat stress induction mechanism mitigation strategy multi-omics |
| url | https://www.mdpi.com/2077-0472/15/14/1477 |
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