José Ricardo Tavares de Albuquerque, Hamurábi Anizio Lins, Manoel Galdino dos Santos, Márcio Alexandre Moreira de Freitas, Fernando Sarmento de Oliveira, Almir Rogério Evangelista de Souza, Lindomar Maria da Silveira, Glauber Henrique de Sousa Nunes, A. P. Barros Júnior, Paulo Fernando de Melo Jorge Vieira
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The unweighted pair group method with arithmetic mean was used to group the genotypes from the Mahalanobis distance matrix estimated using the genotypic means estimated by the REML/BLUP method. The grouping of genotypes depended mainly on the effects of the interaction between genotypes and years. The joint analysis, without the effect of the interaction, allowed us to obtain two groups of genotypes. The most recommended crosses were those of the lines BRS Tracajá, BRS Pérola, BRS Carnaúba, M 8644 IPRO, BRS 8590, and BMX OPUS IPRO with the genotype BRS Sambaíba, especially the one between BMX OPUS IPRO and BRS Sambaíba.\nHighlights\n\nThe grouping of genotypes is dependent on the evaluation conditions, mainly due to the effects of the genotype x years interaction.\n\n\nThe use of estimates of the free genotypic means of the interaction obtained in the joint analysis may be a more adequate alternative to define the heterotic groups and, consequently, the crossings to be performed.\nThe joint analysis, without the presence of the interaction effect, allows obtaining two groups of genotypes.\n","PeriodicalId":21210,"journal":{"name":"Revista de la Facultad de Ciencias Agrarias UNCuyo","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Influence of genotype-environment interaction on soybean (Glycine max L.) genetic divergence under semiarid conditions\",\"authors\":\"José Ricardo Tavares de Albuquerque, Hamurábi Anizio Lins, Manoel Galdino dos Santos, Márcio Alexandre Moreira de Freitas, Fernando Sarmento de Oliveira, Almir Rogério Evangelista de Souza, Lindomar Maria da Silveira, Glauber Henrique de Sousa Nunes, A. 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引用次数: 1
摘要
本研究旨在探讨基因型-环境互作对半干旱条件下大豆遗传变异的影响。采用4个试验,随机分组,4个重复,对21个大豆基因型进行鉴定。使用以下描述符来量化差异:株高、干物质、含油量、单株荚果数、每荚果粒数、百粒重、产量、开花天数和成熟天数。利用REML/BLUP方法估计的基因型均值估计的马氏距离矩阵,采用带算术平均值的非加权配对组方法对基因型进行分组。基因型的分型主要取决于基因型与年份的相互作用。联合分析,没有相互作用的影响,使我们获得了两组基因型。BRS Sambaíba基因型的选种以BRS tracaj、BRS psamoora、BRS Carnaúba、M 8644 IPRO、BRS 8590和BMX OPUS IPRO为主,尤其是BMX OPUS IPRO和BRS Sambaíba之间的选种。基因型的分组取决于评估条件,主要是由于基因型x年相互作用的影响。使用在联合分析中获得的相互作用的自由基因型平均值的估计可能是一个更充分的选择,以确定杂种优势群体,从而确定要进行的交叉。联合分析,没有相互作用的存在,允许获得两组基因型。
Influence of genotype-environment interaction on soybean (Glycine max L.) genetic divergence under semiarid conditions
The objective of the present work was to evaluate the influence of the genotype–environment interaction on genetically divergent soybean grown under semiarid conditions. Four experiments were carried out in randomized blocks with four replicates to evaluate twenty-one soybean genotypes. The following descriptors were used to quantify divergence: plant height, dry matter, oil content, number of pods per plant, number of grains per pod, the weight of 100 seeds, yield, days for flowering, and days for maturation. The unweighted pair group method with arithmetic mean was used to group the genotypes from the Mahalanobis distance matrix estimated using the genotypic means estimated by the REML/BLUP method. The grouping of genotypes depended mainly on the effects of the interaction between genotypes and years. The joint analysis, without the effect of the interaction, allowed us to obtain two groups of genotypes. The most recommended crosses were those of the lines BRS Tracajá, BRS Pérola, BRS Carnaúba, M 8644 IPRO, BRS 8590, and BMX OPUS IPRO with the genotype BRS Sambaíba, especially the one between BMX OPUS IPRO and BRS Sambaíba.
Highlights
The grouping of genotypes is dependent on the evaluation conditions, mainly due to the effects of the genotype x years interaction.
The use of estimates of the free genotypic means of the interaction obtained in the joint analysis may be a more adequate alternative to define the heterotic groups and, consequently, the crossings to be performed.
The joint analysis, without the presence of the interaction effect, allows obtaining two groups of genotypes.