Agricultural and Horticultural Science Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Mashhad, 91769-83641, Iran.
BMC Plant Biol. 2023 Apr 17;23(1):198. doi: 10.1186/s12870-023-04197-9.
Information on the nature and extent of genetic and genotype × environment (GE) interaction is extremely rare in wheat varieties under different sowing dates. In the present study, the GGE biplot method was conducted to investigate genotype × environment interaction effects and evaluate the adaptability and yield stability of 13 wheat varieties across eight sowing dates, in order to facilitate comparison among varieties and sowing dates and identify suitable varieties for the future breeding studies.
Considerable genotypic variation was observed among genotypes for all of the evaluated traits, demonstrating that selection for these traits would be successful. Low broad sense heritability obtained for grain yield showed that, both genetic and non-genetic gene actions played a role in the control of this trait, and suggested that indirect selection based on its components which had high heritability and high correlation with yield, would be more effective to improve grain yield in this germplasm. Hence, selection based on an index may be more useful for improvement of this trait in recurrent selection programs. The results of the stability analysis showed that the environmental effect was a major source of variation, which captured 72.21% of total variation, whereas G and GE explained 6.94% and 18.33%, respectively. The partitioning of GGE through GGE biplot analysis showed that, the first two PCs accounted for 54.64% and 35.15% of the GGE sum of squares respectively, capturing a total of 89.79% variation. According to the GGE biplot, among the studied varieties, the performance of Gascogen was the least stable, whereas Sirvan, Roshan, and Pishtaz had superior performance under all sowing dates, suggesting that they have a broad adaptation to the diverse sowing dates. These varieties may be recommended for genetic improvement of wheat with a high degree of adaptation.
The results obtained in this study demonstrated the efficiency of the GGE biplot technique for selecting high yielding and stable varieties across sowing dates.
在不同播种日期下的小麦品种中,关于遗传和基因型×环境(GE)互作的性质和程度的信息极为罕见。本研究采用 GGE 双标图法,研究了 13 个小麦品种在 8 个播种日期的基因型×环境互作效应,并评价了各品种的适应性和产量稳定性,以方便品种和播种日期之间的比较,并鉴定出适合未来育种研究的品种。
在所评价的性状中,各基因型之间存在显著的基因型变异,表明对这些性状进行选择将是成功的。获得的籽粒产量的低广义遗传力表明,遗传和非遗传基因作用都对该性状的控制起作用,并表明基于其具有高遗传力和与产量高度相关的组成部分的间接选择,将更有效地提高该种质的籽粒产量。因此,基于指数的选择可能更有利于在反复选择计划中改进该性状。稳定性分析的结果表明,环境效应是变异的主要来源,占总变异的 72.21%,而 G 和 GE 分别解释了 6.94%和 18.33%。通过 GGE 双标图分析对 GGE 的划分表明,前两个 PC 分别占 GGE 平方和的 54.64%和 35.15%,总共占 89.79%的变异。根据 GGE 双标图,在所研究的品种中,Gascogen 的表现最不稳定,而 Roshan、Sirvan 和 Pishtaz 在所有播种日期下表现都较好,表明它们对不同播种日期具有广泛的适应性。这些品种可能被推荐用于遗传改良具有高度适应性的小麦。
本研究结果表明,GGE 双标图技术在选择适应不同播种日期的高产量和稳定品种方面是有效的。