{"title":"Application strategy for sustainable livestock production with farm animal algorithms in response to climate change up to 2050: A review","authors":"S. Park","doi":"10.17221/172/2022-cjas","DOIUrl":null,"url":null,"abstract":"Global warming caused by climate change can increase heat stress and greenhouse gas (GHG) emissions, leading to food problems and livestock crises. Thus, pre-emptive responses are required to mitigate the food problems and livestock crises. The potential of a livestock crisis caused by global warming highlights the need for sustainable livestock production in response to climate change using a farm animal algorithm in order to address the population increase and avoid food problems in the future. In particular, the demand for animal-based foods has increased. Such a climate change threatens the livestock environment, production, reproductive efficiency, animal behaviour and welfare, while increasing the heat stress, livestock malodours, and GHG emissions. For these reasons, it is necessary to understand the concurrent mechanisms related to these effects of global warming, animal nutrition, animal feeding and management, animal heat stress and in ovo injection, and carbon neutral livestock. Climate-smart livestock systems are being implemented to overcome the livestock crisis caused by climate change and to maintain sustainable livestock production. This review emphasises the importance of sustainable livestock production using farm animal algorithms in response to a future livestock crisis caused by climate change in 2050.","PeriodicalId":10972,"journal":{"name":"Czech Journal of Animal Science","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Czech Journal of Animal Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.17221/172/2022-cjas","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 3
Abstract
Global warming caused by climate change can increase heat stress and greenhouse gas (GHG) emissions, leading to food problems and livestock crises. Thus, pre-emptive responses are required to mitigate the food problems and livestock crises. The potential of a livestock crisis caused by global warming highlights the need for sustainable livestock production in response to climate change using a farm animal algorithm in order to address the population increase and avoid food problems in the future. In particular, the demand for animal-based foods has increased. Such a climate change threatens the livestock environment, production, reproductive efficiency, animal behaviour and welfare, while increasing the heat stress, livestock malodours, and GHG emissions. For these reasons, it is necessary to understand the concurrent mechanisms related to these effects of global warming, animal nutrition, animal feeding and management, animal heat stress and in ovo injection, and carbon neutral livestock. Climate-smart livestock systems are being implemented to overcome the livestock crisis caused by climate change and to maintain sustainable livestock production. This review emphasises the importance of sustainable livestock production using farm animal algorithms in response to a future livestock crisis caused by climate change in 2050.
期刊介绍:
Original scientific papers and critical reviews covering all areas of genetics and breeding, physiology, reproduction, nutrition and feeds, technology, ethology and economics of cattle, pig, sheep, goat, poultry, fish and other farm animal management. Papers are published in English.