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Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates
Field Crops Research ( IF 5.8 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.fcr.2020.107929
Isadora Cristina Martins Oliveira , José Henrique Soler Guilhen , Pedro César de Oliveira Ribeiro , Salvador Alejandro Gezan , Robert Eugene Schaffert , Maria Lucia Ferreira Simeone , Cynthia Maria Borges Damasceno , José Eustáquio de Souza Carneiro , Pedro Crescêncio Souza Carneiro , Rafael Augusto da Costa Parrella , Maria Marta Pastina

Abstract Biomass sorghum has emerged as an alternative crop for biofuel and bioelectricity production. Fresh biomass yield (FBY) is a quantitative trait highly correlated with the calorific power of energy sorghum cultivars, but also highly affected by the environment. The main goal of this study was to investigate the genotype-by-environment interaction (G × E) and the stability of sorghum hybrids evaluated for FBY across different locations and years, using factor analytic (FA) mixed models and environmental covariates. Pairwise genetic correlations between environments ranged from -0.21 to 0.99, indicating the existence of null to high G × E. The FA analysis unveiled that solely three factors explained more than 79% of the genetic variance, and that more than 60% of the environments were clustered in the first factor. Moderate correlations were found between some environmental covariates and the loadings of FA models for environments, suggesting the possible factors to explain the high G × E between environments clustered in a given factor. For example: precipitation, minimum temperature and speed wind were correlated to the environmental loadings of factor 1; minimum temperature, solar radiation and altitude to factor 2; and crop growth cycle to factor 3. The latent regression analysis was used to identify hybrids more responsive to a set of environments, as well as hybrids specifically adapted to a given environment. Finally, FA models can be successfully used to identify the main environmental factors affecting G × E, such as minimum temperature, precipitation, solar radiation, crop growth cycle and altitude.

中文翻译:

使用因子分析模型和环境协变量对生物质高粱杂交种进行基因型-环境相互作用和产量稳定性分析

摘要 生物质高粱已成为生物燃料和生物发电的替代作物。鲜生物质产量(FBY)是一种与能量高粱品种的发热量高度相关的数量性状,但也受环境的影响很大。本研究的主要目标是使用因子分析 (FA) 混合模型和环境协变量研究基因型与环境的相互作用 (G × E) 以及在不同地点和年份评估 FBY 的高粱杂交种的稳定性。环境之间的成对遗传相关范围为 -0.21 到 0.99,表明存在零到高 G × E。 FA 分析揭示,只有三个因素可以解释超过 79% 的遗传方差,超过 60% 的环境集中在第一个因素中。在一些环境协变量与环境 FA 模型的负载之间发现了中等相关性,这表明可能的因素可以解释在给定因素中聚集的环境之间的高 G × E。例如:降水、最低温度和风速与因子1的环境负荷相关;最低温度、太阳辐射和高度为因子 2;和作物生长周期到因子 3。潜在回归分析用于识别对一组环境更敏感的杂交种,以及特别适应给定环境的杂交种。最后,FA模型可以成功地用于识别影响G×E的主要环境因素,如最低温度、降水、太阳辐射、作物生长周期和海拔高度。
更新日期:2020-10-01
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