Leveraging genomic prediction to surpass current yield gains in spring barley.

IF 4.4 1区 农林科学 Q1 AGRONOMY
Johanna Åstrand, Firuz Odilbekov, Ramesh Vetukuri, Alf Ceplitis, Aakash Chawade
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Abstract

Key message: Genetic gain in Nordic spring barley varieties was estimated to 1.07% per year. Additionally, genomic predictive ability for yield was 0.61 in a population of breeding lines. Barley is one of the most important crops in Europe and meeting the growing demand for food and feed requires continuous increase in yield. Genomic prediction (GP) has the potential to be a cost-efficient tool in breeding for complex traits; however, the rate of yield improvement in current barley varieties is unknown. This study therefore investigated historical and current genetic gains in spring barley and how accounting for row-type population stratification in a breeding population influences GP results. The genetic gain in yield was estimated using historical data from field trials from 2014 to 2022, with 22-60 market varieties grown yearly. The genetic gain was estimated to 1.07% per year for all varieties, serving as a reference point for future breeding progress. To analyse the potential of using GP in spring barley a population of 375 breeding lines of two-row and six-row barley were tested in multi-environment trials in 2019-2022. The genetic diversity of the row-types was examined and used as a factor in the predictions, and the potential to predict untested locations using yield data from other locations was explored. This resulted in an overall predictive ability of 0.61 for yield (kg/ha), with 0.57 and 0.19 for the separate two-row and the six-row breeding lines, respectively. Together this displays the potential of implementing GP in breeding programs and the genetic gain in spring barley market varieties developed through GP will help in quantifying the benefit of GP over conventional breeding in the future.

利用基因组预测超越春大麦目前的增产成果。
关键信息:北欧春大麦品种的遗传增益估计为每年 1.07%。此外,在育种品系群体中,基因组对产量的预测能力为 0.61。大麦是欧洲最重要的作物之一,要满足日益增长的粮食和饲料需求,就必须不断提高产量。基因组预测(GP)有可能成为复杂性状育种中一种具有成本效益的工具;然而,目前大麦品种的产量提高率还不得而知。因此,本研究调查了春大麦的历史和当前遗传增益,以及育种群体中行列型群体分层如何影响 GP 结果。产量遗传增益是利用 2014 年至 2022 年田间试验的历史数据估算的,每年种植 22-60 个市场品种。所有品种的遗传增益估计为每年 1.07%,可作为未来育种进展的参考点。为了分析在春大麦中使用 GP 的潜力,2019-2022 年在多环境试验中对 375 个两行和六行大麦育种品系进行了测试。对行列类型的遗传多样性进行了研究,并将其作为预测的一个因素,同时还探讨了利用其他地点的产量数据预测未试验地点的潜力。结果显示,产量(公斤/公顷)的总体预测能力为 0.61,双行和六行育种品系的预测能力分别为 0.57 和 0.19。总之,这显示了在育种计划中实施 GP 的潜力,而通过 GP 培育的春大麦市场品种的遗传增益将有助于量化 GP 相对于传统育种的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.60
自引率
7.40%
发文量
241
审稿时长
2.3 months
期刊介绍: Theoretical and Applied Genetics publishes original research and review articles in all key areas of modern plant genetics, plant genomics and plant biotechnology. All work needs to have a clear genetic component and significant impact on plant breeding. Theoretical considerations are only accepted in combination with new experimental data and/or if they indicate a relevant application in plant genetics or breeding. Emphasizing the practical, the journal focuses on research into leading crop plants and articles presenting innovative approaches.
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