2016
DOI: 10.4238/gmr.15028272
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Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models

Abstract: ABSTRACT. The aim of this study was to select erect cowpea (Vigna unguiculata L.) genotypes simultaneously for high adaptability, stability, and yield grain in Mato Grosso do Sul, Brazil using mixed models. We conducted six trials of different cowpea genotypes in 2005 and 2006 in Aquidauana, Chapadão do Sul, Dourados, and Primavera do Leste. The experimental design was randomized complete blocks with four replications and 20 genotypes. Genetic parameters were estimated by restricted maximum likelihood/best lin… Show more

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Cited by 18 publications
(23 citation statements)
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“…This criterion is repeated in the genotypes CNPA 2012-55, CNPA 2012-58, CNPA 2012-62 and CNPA 2012, selected by the genetic means free of interaction (μ + gˆ).This fact indicates that these genotypes presented adaptability and genotypic stability between the three environments analyzed, in addition to having high length of fibers, i.e., the maintenance of this trait across the different environments. These results corroborate those obtained by Maia et al (2009), Regitano Neto et al (2013 and Torres et al (2016), who verified the maintenance of the ranking of cashew clones, rice genotypes and cowpea, respectively, by genotypic value of methods for the mean of years (μ + gˆ), HMGV, RPGV and HMRPGV, attributing these results to genotypic correlation across sites (r gloc ), which was positive and of similar magnitude to those of study.…”
Section: Heritability Of the Genotypes Means (ĥ 2 Mgsupporting
confidence: 92%
See 1 more Smart Citation
“…This criterion is repeated in the genotypes CNPA 2012-55, CNPA 2012-58, CNPA 2012-62 and CNPA 2012, selected by the genetic means free of interaction (μ + gˆ).This fact indicates that these genotypes presented adaptability and genotypic stability between the three environments analyzed, in addition to having high length of fibers, i.e., the maintenance of this trait across the different environments. These results corroborate those obtained by Maia et al (2009), Regitano Neto et al (2013 and Torres et al (2016), who verified the maintenance of the ranking of cashew clones, rice genotypes and cowpea, respectively, by genotypic value of methods for the mean of years (μ + gˆ), HMGV, RPGV and HMRPGV, attributing these results to genotypic correlation across sites (r gloc ), which was positive and of similar magnitude to those of study.…”
Section: Heritability Of the Genotypes Means (ĥ 2 Mgsupporting
confidence: 92%
“…Thus, HMGV, RPGV and HMRPGV have been used as measures for the interpretation of genotypic stability and adaptability of crops, such as common bean (Carbonell et al 2007), sugarcane (Bastos et al 2007), cashew (Maia et al 2009), eucalyptus , rice (Regitano Neto et al 2013), and cowpea (Torres et al 2015, Torres et al 2016). However, they have not been used for breeding purposes in cotton.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, an alternative to studying the adaptability and stability of genotypes is the method of harmonic mean relative performance of genotypic values (HMRPGV), advocated by Resende (2004). Although this method has been applied to various cultures, its use in value and cultivation trials with cowpea remain restricted (SANTOS et al, 2016;TORRES et al 2015;TORRES et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…This method provides adaptability and genotypic stability estimates, whose genetic values are penalized by instability. This method has been used for interpretation of genotypic stability and adaptability of crops such as common bean (Carbonell et al, 2007), rice (Regitano Neto et al, 2013), and cowpea (Torres et al, 2015(Torres et al, , 2016. The aim of this study was to use the HMRPGV and centroid methods for selecting common bean genotypes with high yield, adaptability, and stability specific to the Cerrado/ Pantanal ecotone region.…”
Section: Introductionmentioning
confidence: 99%