Thuraga Vishnukiran, Martinsson Ulrika Dyrlund, Vetukuri Ramesh R, Chawade Aakash
Department of Plant Breeding, Swedish University of Agricultural Sciences, 23422 Lomma, Sweden.
Husshållnigssällskåpet, Borgeby, 23791 Lomma, Sweden.
Plants (Basel). 2023 Feb 6;12(4):715. doi: 10.3390/plants12040715.
Barley ( L.) is the fourth most important cereal crop based on production and cultivated area. Biotic stresses, especially fungal diseases in barley, are devastating, incurring high possibilities of absolute yield loss. Identifying superior and stable yielding genotypes is crucial for accompanying the increasing barley demand. However, the identification and recommendation of superior genotypes is challenging due to the interaction between genotype and environment. Hence, the present investigation was aimed at evaluating the grain yield of different sets of spring barley genotypes when undergoing one of two treatments (no treatment and fungicide treatment) laid out in an alpha lattice design in six to seven locations for five years, through additive main effects and multiplicative interaction (AMMI), GGE biplot (genotype + genotype X environment), and stability analysis. The combined analysis of variance indicated that the environment was the main factor that contributed to the variation in grain yield, followed by genotype X environment interaction (GEI) effects and genotypic effects. Ten mega environments (MEs) with five MEs from each of the treatments harboured well-adapted, stable yielding genotypes. Exploiting the stable yielding genotypes with discreet use of the representative and discriminative environments identified in the present study could aid in breeding for the improvement of grain yield in spring barley genotypes.
大麦(L.)是按产量和种植面积计算的第四大重要谷类作物。生物胁迫,尤其是大麦中的真菌病害,具有毁灭性,导致绝对产量损失的可能性很高。识别优良且稳定高产的基因型对于满足不断增长的大麦需求至关重要。然而,由于基因型与环境之间的相互作用,优良基因型的识别和推荐具有挑战性。因此,本研究旨在通过加性主效应和乘积互作(AMMI)、GGE双标图(基因型 + 基因型×环境)和稳定性分析,评估在六个至七个地点以α格子设计进行的两种处理(不处理和杀菌剂处理)之一处理下的不同春大麦基因型组的籽粒产量,为期五年。方差的联合分析表明,环境是导致籽粒产量变异的主要因素,其次是基因型×环境互作(GEI)效应和基因型效应。十个 mega 环境(MEs),每种处理各有五个MEs,包含适应性良好、产量稳定的基因型。利用本研究中确定的具有代表性和区分性的环境谨慎使用稳定高产的基因型,有助于培育提高春大麦基因型籽粒产量的品种。