Adaptability and stability of soybean (Glycine max L.) genotypes in semiarid conditions
Soybean production in Brazil is concentrated in the central and southern regions of the country, although expansion is occurring toward the northeast, where semi-arid conditions are predominant. There is little information on the behavior of soybean cultivars in semiarid climates; therefore, the obj...
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creator | Albuquerque, José Ricardo Tavares de Lins, Hamurábi Anizio dos Santos, Manoel Galdino Freitas, Márcio Alexandre Moreira de Oliveira, Fernando Sarmento de Souza, Almir Rogério Evangelista de Silveira, Lindomar Maria da Henrique de Sousa Nunes, Glauber Barros Júnior, Aurélio Paes de Melo Jorge Vieira, Paulo Fernando |
description | Soybean production in Brazil is concentrated in the central and southern regions of the country, although expansion is occurring toward the northeast, where semi-arid conditions are predominant. There is little information on the behavior of soybean cultivars in semiarid climates; therefore, the objective of this study was to evaluate the interaction of soybean genotypes by environment, adaptability, and phenotypic stability under semiarid conditions. Twenty-one genotypes were evaluated in four sowing seasons (September 25, 2016, March 29, 2017, September 30, 2017, and March 16, 2018) for grain yield and related components in a completely randomized block design with four replications per season. The adaptability and phenotypic stability of genotypes were studied using the GGE biplot and harmonic mean of the relative performance of genotypic values methods. The genotype × environment interaction (GEI) of soybean is predominantly crossed, creating challenges for cultivar recommendation in semiarid regions. The methodologies chosen are appropriate for studying the GEI, and produce complementary results according to the interpretation of the breeder. The most adapted and stable genotypes for grain productivity are BRS Pérola, BMX OPUS IPRO, Pampeana 007 RR, Pampeana 20 RR, and BRS Sambaíba RR. |
doi_str_mv | 10.1007/s10681-022-03012-0 |
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There is little information on the behavior of soybean cultivars in semiarid climates; therefore, the objective of this study was to evaluate the interaction of soybean genotypes by environment, adaptability, and phenotypic stability under semiarid conditions. Twenty-one genotypes were evaluated in four sowing seasons (September 25, 2016, March 29, 2017, September 30, 2017, and March 16, 2018) for grain yield and related components in a completely randomized block design with four replications per season. The adaptability and phenotypic stability of genotypes were studied using the GGE biplot and harmonic mean of the relative performance of genotypic values methods. The genotype × environment interaction (GEI) of soybean is predominantly crossed, creating challenges for cultivar recommendation in semiarid regions. The methodologies chosen are appropriate for studying the GEI, and produce complementary results according to the interpretation of the breeder. 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There is little information on the behavior of soybean cultivars in semiarid climates; therefore, the objective of this study was to evaluate the interaction of soybean genotypes by environment, adaptability, and phenotypic stability under semiarid conditions. Twenty-one genotypes were evaluated in four sowing seasons (September 25, 2016, March 29, 2017, September 30, 2017, and March 16, 2018) for grain yield and related components in a completely randomized block design with four replications per season. The adaptability and phenotypic stability of genotypes were studied using the GGE biplot and harmonic mean of the relative performance of genotypic values methods. The genotype × environment interaction (GEI) of soybean is predominantly crossed, creating challenges for cultivar recommendation in semiarid regions. The methodologies chosen are appropriate for studying the GEI, and produce complementary results according to the interpretation of the breeder. The most adapted and stable genotypes for grain productivity are BRS Pérola, BMX OPUS IPRO, Pampeana 007 RR, Pampeana 20 RR, and BRS Sambaíba RR.</description><subject>Adaptability</subject><subject>Aridity</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Bmx protein</subject><subject>Crop production</subject><subject>Crop yield</subject><subject>Cultivars</subject><subject>Genotype</subject><subject>Genotype-environment interactions</subject><subject>Genotypes</subject><subject>Glycine max</subject><subject>Life Sciences</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Semi arid areas</subject><subject>Semiarid climates</subject><subject>Semiarid lands</subject><subject>Soybean</subject><subject>Soybeans</subject><subject>Stability 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There is little information on the behavior of soybean cultivars in semiarid climates; therefore, the objective of this study was to evaluate the interaction of soybean genotypes by environment, adaptability, and phenotypic stability under semiarid conditions. Twenty-one genotypes were evaluated in four sowing seasons (September 25, 2016, March 29, 2017, September 30, 2017, and March 16, 2018) for grain yield and related components in a completely randomized block design with four replications per season. The adaptability and phenotypic stability of genotypes were studied using the GGE biplot and harmonic mean of the relative performance of genotypic values methods. The genotype × environment interaction (GEI) of soybean is predominantly crossed, creating challenges for cultivar recommendation in semiarid regions. The methodologies chosen are appropriate for studying the GEI, and produce complementary results according to the interpretation of the breeder. 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subjects | Adaptability Aridity Biomedical and Life Sciences Biotechnology Bmx protein Crop production Crop yield Cultivars Genotype Genotype-environment interactions Genotypes Glycine max Life Sciences Plant Genetics and Genomics Plant Pathology Plant Physiology Plant Sciences Semi arid areas Semiarid climates Semiarid lands Soybean Soybeans Stability analysis |
title | Adaptability and stability of soybean (Glycine max L.) genotypes in semiarid conditions |
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