Suppr超能文献

研讨会综述:降低环境影响和适应气候变化的基因组选择。

Symposium review: Genomic selection for reducing environmental impact and adapting to climate change.

机构信息

Agriculture Victoria Research, AgriBio, Centre for AgriBioscience, Bundoora, Victoria 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria 3083, Australia.

Agriculture Victoria Research, AgriBio, Centre for AgriBioscience, Bundoora, Victoria 3083, Australia.

出版信息

J Dairy Sci. 2020 Jun;103(6):5366-5375. doi: 10.3168/jds.2019-17732. Epub 2020 Apr 22.

Abstract

The world has been warming as greenhouse gases accumulate. Worldwide from 1880 to 2012, the average surface temperature has increased by about 0.85°C and by 0.12°C per decade since 1951. The world's cattle population is a contributor to atmospheric methane, a potent greenhouse gas, in addition to suffering from high temperatures combined with humidity. This makes research into reducing the global footprint of dairy cows of importance on a long-term horizon, while improving tolerance to heat could alleviate the effects of rising temperatures. In December 2017, genomic estimated breeding values for heat tolerance in dairy cattle were released for the first time in Australia. Currently, heat tolerance is not included in the Balanced Performance Index (Australia's national selection index), and the correlation between heat tolerance breeding values and Balanced Performance Index is -0.20, so over time, heat tolerance has worsened due to lack of selection pressure. However, in contrast, sizable reductions in greenhouse gas emissions have been achieved as a favorable response to selecting for increased productivity, longevity, and efficiency, with opportunities for even greater gains through selecting for cow emissions directly. Internationally considerable research effort has been made to develop breeding values focused on reducing methane emissions using individual cow phenotypes. This requires (1) definition of breeding objectives and selection criteria and (2) assembling a sufficiently large data set for genomic prediction. Selecting for heat tolerance and reduced emissions directly may improve resilience to changing environments while reducing environmental impact.

摘要

随着温室气体的积累,全球气候一直在变暖。自 1880 年至 2012 年,全球平均地表温度上升了约 0.85°C,自 1951 年以来,平均地表温度以每十年 0.12°C 的速度上升。全球牛群是大气甲烷的一个排放源,甲烷是一种强效温室气体,此外,牛还会遭受高温和高湿度的双重影响。因此,从长远来看,研究如何减少奶牛的全球足迹对于改善奶牛的耐热性非常重要,因为这可以缓解气温上升的影响。2017 年 12 月,澳大利亚首次公布了奶牛耐热性的基因组估计育种值。目前,耐热性并未包含在平衡性能指数(澳大利亚全国选择指数)中,耐热性育种值与平衡性能指数的相关性为-0.20,因此,随着时间的推移,由于缺乏选择压力,耐热性逐渐恶化。然而,与之相反,通过选择提高生产力、寿命和效率,已经取得了可观的温室气体减排效果,通过直接选择奶牛排放量,还有更大的减排空间。国际上已经投入了相当大的研究努力,开发了使用个体奶牛表型来减少甲烷排放的育种值。这需要 (1) 定义育种目标和选择标准,以及 (2) 为基因组预测组装足够大的数据集。直接选择耐热性和减少排放可以提高对环境变化的适应能力,同时减少对环境的影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验