Strategic positioning of soybean cultivars in the state of Rio Grande do Sul

Eduardo Luiz Goulart Knebel, I. Carvalho, Murilo Vieira Loro, G. H. Demari, Rafael Soares Ourique, João Pedro Dalla Roza
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Abstract

This work aims to highlight the best soybean genotypes for specific environments in the Northwest Region of the State of Rio Grande do Sul. The experiment was carried out in the 2018/19 crop season in fifteen cultivation environments in the Northwest region of the state of Rio Grande do Sul, using 52 soybean genotypes in 15 growing environments. The experimental design used was lattice with treatments (growing environments) arranged in three replications. In each useful area of ​​the experimental unit, the grain productivity of the genotypes was evaluated. Then, the Restricted Maximum Likelihood (REML) method was applied to estimate the variance components and genetic parameters. The following variance components were estimated: Genetic variation (Vg) and phenotypic variation (Vp). The genetic parameters estimated were: broad sense heritability (H²), coefficient of genotypic variation (CVg), coefficient of residual variation (CVe), ratio between genetic and residual coefficient (CVr) and selective accuracy (Ac). The phenotypic expression of grain yield is determined by 17% due to genetic effects and 83% by the environment. The NS 6909 RR IPRO, NS 5445 IPRO, DM 5958 IPRO and DM 6563 IPRO genotypes showed greater genetic gains for grain yield. The environments Doutor Maurício Cardoso (RS), Nova Ramada (RS) and Independência (RS) are characterized as favorable environments.
南巴西大德州大豆品种战略定位
这项工作旨在突出南里奥格兰德州西北地区特定环境下的最佳大豆基因型。该实验于2018/19年作物季节在南里奥格兰德州西北地区的15个种植环境中进行,在15个种植条件下使用了52种大豆基因型。所用的实验设计是晶格,处理(生长环境)安排在三个重复中。在​​在试验单元中,对各基因型的粮食生产率进行了评价。然后,应用限制极大似然法对方差分量和遗传参数进行估计。估计了以下方差成分:遗传变异(Vg)和表型变异(Vp)。估计的遗传参数为:广义遗传力(H²)、基因型变异系数(CVg)、残差变异系数(CVe)、遗传系数与残差系数之比(CVr)和选择准确度(Ac)。粮食产量的表型表达有17%是由遗传效应决定的,83%是由环境决定的。NS 6909 RR IPRO、NS 5445 IPRO、DM 5958 IPRO和DM 6563 IPRO基因型对粮食产量表现出更大的遗传增益。环境Doutor Maurício Cardoso(RS)、Nova Ramada(RS)和Independência(RS)被描述为有利的环境。
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