Döttinger Cleo A, Hahn Volker, Leiser Willmar L, Würschum Tobias
Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599 Stuttgart, Germany.
State Plant Breeding Institute, University of Hohenheim, 70599 Stuttgart, Germany.
Plants (Basel). 2023 Feb 8;12(4):756. doi: 10.3390/plants12040756.
Soybean is a crop in high demand, in particular as a crucial source of plant protein. As a short-day plant, soybean is sensitive to the latitude of the growing site. Consequently, varieties that are well adapted to higher latitudes are required to expand the cultivation. In this study, we employed 50 soybean genotypes to perform a multi-location trial at seven locations across Germany in 2021. Two environmental target regions were determined following the latitude of the locations. Adaptation and trait stability of seed yield and protein content across all locations were evaluated using Genotype plus Genotype-by-Environment (GGE) biplots and Shukla's stability variance. We found a moderate level of crossing-over type genotype-by-location interaction across all locations. Within the environmental target regions, the genotype-by-location interaction could be minimised. Despite the positive correlation ( = 0.59) of seed yield between the environmental target regions and the same best-performing genotype, the genotype rankings differed in part substantially. In conclusion, we found that soybean can be grown at a wide range of latitudes across Germany. However, the performance of genotypes differed between the northern and southern locations, with an 18.8% higher mean yield in the south. This in combination with the observed rank changes of high-performing genotypes between both environmental target regions suggests that selection targeted towards environments in northern Germany could improve soybean breeding for those higher latitude regions.
大豆是一种需求量很大的作物,尤其是作为植物蛋白的关键来源。作为一种短日照植物,大豆对种植地点的纬度敏感。因此,需要适应高纬度地区的品种来扩大种植面积。在本研究中,我们于2021年在德国的七个地点使用50个大豆基因型进行了多点试验。根据地点的纬度确定了两个环境目标区域。使用基因型加基因型×环境(GGE)双标图和舒克拉稳定性方差评估了所有地点种子产量和蛋白质含量的适应性和性状稳定性。我们发现所有地点之间存在中等水平的交叉型基因型×地点互作。在环境目标区域内,基因型×地点互作可以最小化。尽管环境目标区域之间种子产量与相同最佳表现基因型呈正相关(r = 0.59),但基因型排名部分存在显著差异。总之,我们发现大豆可以在德国的广泛纬度范围内种植。然而,基因型在北部和南部地点的表现有所不同,南部的平均产量高出18.8%。这与观察到的两个环境目标区域中高表现基因型的排名变化相结合,表明针对德国北部环境的选择可以改善那些高纬度地区的大豆育种。