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Exploring genotype × environment interaction in sweet sorghum under tropical environments
Agronomy Journal ( IF 2.1 ) Pub Date : 2021-04-27 , DOI: 10.1002/agj2.20696
Vander Fillipe de Souza 1 , Pedro César de Oliveira Ribeiro 2 , Indalécio Cunha Vieira Júnior 3 , Isadora Cristina Martins Oliveira 1 , Cynthia Maria Borges Damasceno 1 , Robert Eugene Schaffert 1 , Rafael Augusto da Costa Parrella 1 , Kaio Olimpio das Graças Dias 4 , Maria Marta Pastina 1
Affiliation  

Understanding the genotype-by-environment interactions (GEI) is crucial to release sweet sorghum [Sorghum bicolor (L.) Moench] cultivars with stable and high agronomic performance under tropical environments. Therefore, linear mixed models could be used to face this challenge by leveraging the biological process of GEI into cultivar recommendation. The goals of this study were: (a) to explore GEI patterns under tropical conditions to select stable and high-yielding genotypes for energy-use in the bioethanol industry; and (b) to evaluate the advantages of linear mixed models taking into account simultaneously the genetic and the residual correlations across environments and the genomic relationship between genotypes. The breeding dataset was comprised of 41 genotypes evaluated for Tonnes of brix per hectare (TBH) in late-stage trials over 32 tropical environments. The models incorporating simultaneously the genomic relationship matrix of genotypes and the genetic and the residual correlations across environments showed the lowest values of Akaike Information Criterion (AIC) compared to the standard phenotypic models, and also increased the expected genetic gains of TBH across years. Based on the best models selected by AIC, the genotypes 38 (CMSXS5006), 6 (BRS511), 5 (CMSXS633), 9 (CMSXS637), and 12 (BRS506) exhibited the highest productivity in TBH. Particularly, the genotype 9 (CMSXS637) showed broad stability and high productivity under tropical environments, besides the desirable traits for bioethanol production. These results highlight the importance of modeling the genomic relationship between genotypes and the genetic and the residual correlations across environments to increase the breeding efficiency of sweet sorghum under tropical environments.

中文翻译:

探索热带环境下甜高粱基因型×环境相互作用

了解基因型与环境的相互作用 (GEI) 对释放甜高粱至关重要 [ Sorghum bicolor(L.) Moench] 在热带环境下具有稳定和高农艺性能的栽培品种。因此,线性混合模型可以通过将 GEI 的生物学过程用于品种推荐来应对这一挑战。本研究的目标是: (a) 探索热带条件下的 GEI 模式,以选择稳定和高产的基因型用于生物乙醇行业的能源使用;(b) 评估线性混合模型的优势,同时考虑跨环境的遗传和残差相关性以及基因型之间的基因组关系。育种数据集由 41 种基因型组成,这些基因型在 32 种热带环境的后期试验中对每公顷白利糖度 (TBH) 进行了评估。与标准表型模型相比,同时包含基因型的基因组关系矩阵以及跨环境的遗传和残差相关性的模型显示出 Akaike 信息准则 (AIC) 的最低值,并且还增加了 TBH 跨年的预期遗传增益。根据 AIC 选择的最佳模型,基因型 38 (CMSXS5006)、6 (BRS511)、5 (CMSXS633)、9 (CMSXS637) 和 12 (BRS506) 在 TBH 中表现出最高的生产力。特别是,基因型 9(CMSXS637)除了具有生物乙醇生产的理想特性外,在热带环境下还表现出广泛的稳定性和高生产力。
更新日期:2021-04-27
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