Using soybean historical field trial data to study genotype by environment variation and identify mega-environments with the integration of genetic and non-genetic factors

IF 2 3区 农林科学 Q2 AGRONOMY
Matheus D. Krause, Kaio Olimpio G. Dias, Asheesh K. Singh, William D. Beavis
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引用次数: 0

Abstract

Soybean [Glycine max (L.) Merr.] provides plant-based protein for global food production and is extensively bred to create cultivars with greater productivity in distinct environments through multi-environment trials (MET). The application of MET assumes that trial locations provide representative environmental conditions that cultivars are likely to encounter when grown by farmers. A retrospective analysis of MET data spanning 63 locations between 1989 and 2019 was conducted to identify mega-environments (ME) for soybean seed yield in the primary production areas of North America. ME were identified using data from phenotypic values, geographic, soil, and meteorological records at the trial locations. Results indicate that yield variation was mostly explained by location and location by year interaction. The phenotypic variation due to genotype by location interaction effects was greater than genotype by year interaction effects. The static portion of the genotype by environment interaction variance represented 26.30% of its total variation. The observed locations sampled from the target population of environments can be divided into two or three ME, thereby suggesting that improvements in the response to selection can be achieved when selecting directly within clusters (i.e., regions and ME) versus selecting across all locations. In addition, we published the R package SoyURT that contains the datasets used in this work.

Abstract Image

利用大豆历史田间试验资料,通过环境变异研究大豆基因型,鉴定遗传因素和非遗传因素综合的大环境
大豆[甘氨酸max (L.)]稳定。]为全球粮食生产提供植物性蛋白质,并通过多环境试验(MET)广泛培育出在不同环境下具有更高生产力的品种。MET的应用假定试验地点提供了农民种植品种时可能遇到的具有代表性的环境条件。对1989年至2019年间跨越63个地点的MET数据进行了回顾性分析,以确定北美主要产区大豆种子产量的大环境(ME)。利用试验地点的表型值、地理、土壤和气象记录数据确定ME。结果表明,产量变化主要由地理位置和地理位置的年互作来解释。位置互作效应引起的基因型表型变异大于年份互作效应引起的基因型表型变异。环境互作变异的静态部分占总变异量的26.30%。从目标环境人群中采样的观察到的位置可以分为两个或三个ME,从而表明,当直接在集群(即区域和ME)中进行选择时,可以实现对选择的响应的改进,而不是在所有位置进行选择。此外,我们还发布了包含本工作中使用的数据集的R包SoyURT。
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来源期刊
Agronomy Journal
Agronomy Journal 农林科学-农艺学
CiteScore
4.70
自引率
9.50%
发文量
265
审稿时长
4.8 months
期刊介绍: After critical review and approval by the editorial board, AJ publishes articles reporting research findings in soil–plant relationships; crop science; soil science; biometry; crop, soil, pasture, and range management; crop, forage, and pasture production and utilization; turfgrass; agroclimatology; agronomic models; integrated pest management; integrated agricultural systems; and various aspects of entomology, weed science, animal science, plant pathology, and agricultural economics as applied to production agriculture. Notes are published about apparatus, observations, and experimental techniques. Observations usually are limited to studies and reports of unrepeatable phenomena or other unique circumstances. Review and interpretation papers are also published, subject to standard review. Contributions to the Forum section deal with current agronomic issues and questions in brief, thought-provoking form. Such papers are reviewed by the editor in consultation with the editorial board.
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