Exploring sustainability in dairy cattle breeding focusing on feed efficiency and methane emissions*

C.M. Richardson , J.J. Crowley , B. Gredler-Grandl , P.R. Amer
{"title":"Exploring sustainability in dairy cattle breeding focusing on feed efficiency and methane emissions*","authors":"C.M. Richardson ,&nbsp;J.J. Crowley ,&nbsp;B. Gredler-Grandl ,&nbsp;P.R. Amer","doi":"10.3168/jdsc.2023-0461","DOIUrl":null,"url":null,"abstract":"<div><div>Reducing emissions is vital to improve sustainability, and industry leaders have set emission goals to reduce gross emissions, lower emissions intensity, or reach net zero. However, additional traits should also be measured and compared in terms of their impact on the broader definition of sustainability. In addition to environmental impact, a sustainable breeding objective must consider profit, animal welfare, farmer well-being, and social responsibility. Traits to be considered include direct emissions (e.g., nitrogen and methane), production efficiency (e.g., feed efficiency), health (e.g., calf and transition cow health), and welfare traits (e.g., polled). Many of these novel traits require labor- and cost-intensive phenotyping procedures. Consequently, this results in relatively modest data sets and estimated breeding values with limited reliability. Opportunities exist to overcome this limitation by developing cost-effective and easily quantifiable proxy traits and utilizing international collaboration to expand novel phenotype reference populations. Furthermore, noneconomic values can be estimated to quantify the impact of a trait on societal perspective (e.g., farmer preference) or environmental impact (methane emissions), and combined with economic weights to calculate aggregate weights for each trait. Although validation techniques are still uncertain, the United Nations Sustainable Development Goals may be applied to determine the improvement in sustainability due to genetic selection. This approach provides the flexibility to accommodate diverse sustainability perspectives, encompassing the disparities between developed and developing countries. Currently, the number and quality of relevant phenotypes are the main limiting factor. However, as confidence grows in the opportunity to improve sustainability through genetic selection, substantial new investment will be required in both refining phenotyping methodologies and conceptualizing novel breeding designs.</div></div>","PeriodicalId":94061,"journal":{"name":"JDS communications","volume":"5 6","pages":"Pages 751-755"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JDS communications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666910224000450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Reducing emissions is vital to improve sustainability, and industry leaders have set emission goals to reduce gross emissions, lower emissions intensity, or reach net zero. However, additional traits should also be measured and compared in terms of their impact on the broader definition of sustainability. In addition to environmental impact, a sustainable breeding objective must consider profit, animal welfare, farmer well-being, and social responsibility. Traits to be considered include direct emissions (e.g., nitrogen and methane), production efficiency (e.g., feed efficiency), health (e.g., calf and transition cow health), and welfare traits (e.g., polled). Many of these novel traits require labor- and cost-intensive phenotyping procedures. Consequently, this results in relatively modest data sets and estimated breeding values with limited reliability. Opportunities exist to overcome this limitation by developing cost-effective and easily quantifiable proxy traits and utilizing international collaboration to expand novel phenotype reference populations. Furthermore, noneconomic values can be estimated to quantify the impact of a trait on societal perspective (e.g., farmer preference) or environmental impact (methane emissions), and combined with economic weights to calculate aggregate weights for each trait. Although validation techniques are still uncertain, the United Nations Sustainable Development Goals may be applied to determine the improvement in sustainability due to genetic selection. This approach provides the flexibility to accommodate diverse sustainability perspectives, encompassing the disparities between developed and developing countries. Currently, the number and quality of relevant phenotypes are the main limiting factor. However, as confidence grows in the opportunity to improve sustainability through genetic selection, substantial new investment will be required in both refining phenotyping methodologies and conceptualizing novel breeding designs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研讨会综述:以饲料效率和甲烷排放为重点,探索奶牛饲养的可持续性
减少排放对提高可持续性至关重要,行业领导者已经制定了减少排放总量、降低排放强度或实现净零排放的排放目标。然而,还应衡量和比较其他性状对更广泛的可持续发展定义的影响。除环境影响外,可持续育种目标还必须考虑利润、动物福利、农民福利和社会责任。需要考虑的性状包括直接排放(如氮和甲烷)、生产效率(如饲料效率)、健康(如犊牛和过渡期奶牛健康)和福利性状(如花粉)。其中许多新的性状需要耗费大量人力和成本的表型鉴定程序。因此,这导致数据集和估计育种值相对较小,可靠性有限。通过开发具有成本效益且易于量化的替代性状,并利用国际合作扩大新型表型参考群体,有机会克服这一局限性。此外,还可估算非经济价值,以量化某一性状对社会的影响(如农民偏好)或对环境的影响(甲烷排放),并与经济权重相结合,计算每个性状的总权重。尽管验证技术仍不确定,但联合国可持续发展目标可用于确定遗传选择对可持续性的改善。这种方法具有灵活性,可适应不同的可持续性观点,包括发达国家和发展中国家之间的差异。目前,相关表型的数量和质量是主要的限制因素。然而,随着人们对通过基因选择提高可持续性的信心不断增强,在完善表型分析方法和构思新的育种设计方面将需要大量新的投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
JDS communications
JDS communications Animal Science and Zoology
CiteScore
2.00
自引率
0.00%
发文量
0
期刊最新文献
Table of Contents Editorial Board Getting to grips with resilience: Toward large-scale phenotyping of this complex trait* Development of genomic evaluation for methane efficiency in Canadian Holsteins* Validation and interdevice reliability of a behavior monitoring collar to measure rumination, feeding activity, and idle time of lactating dairy cows
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1