Adaptability and stability of soybean (Glycine max L.) genotypes in semiarid conditions

Albuquerque, José Ricardo Tavares de; Lins, Hamurábi Anízio; Santos, Manoel Galdino dos; Freitas, Márcio Alexandre Moreira de; Oliveira, Fernando Sarmento de; Souza, Almir Rogerio Evangelista de; Silveira, Lindomar María da; Nunes, Glauber Henrique de Sousa; Júnior, Aurélio Paes Barros; Vieira, Paulo Fernando de Melo Jorge

doi:10.1007/s10681-022-03012-0

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Studies on the adaptability and stability of different crops based on biplots have proven the efficiency of this analysis to recommend genotypes and group favorable and unfavorable environments (G. O. Silva et al., 2011; K. J. Silva et al., 2021; Santos et al., 2016; Paramesh et al., 2016; Yokomizo et al., 2017; Olivoto et al., 2019; Albuquerque et al., 2022).…”

Section: Resultsmentioning

confidence: 99%

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Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

et al. 2023

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The occurrence of the genotype × environment (G × E) interaction is one of the main factors that hinder the selection of adapted and stable genotypes. The genotype and G × E interaction (GGE) biplot methodology is an efficient process to detect corn (Zea mays L.) hybrids for silage and, consequently, will help in the recommendation of new and more stable hybrids in different environments in breeding programs. In this sense, this study aimed to evaluate and select corn hybrids for silage that simultaneously combine high yield and stability in different environments in the state of Rio de Janeiro, Brazil, via GGE biplot. Eleven corn hybrids, eight precommercial topcrosses and three commercial controls, were evaluated at three sites (Campos dos Goytacazes, Cambuci, and Itaocara, Rio de Janeiro) during two seasons: the 2017-2018 season and 2018-2018 off-season. The experiments were designed in completely randomized blocks with three replications. Individual and joint analyses of variance were performed and, after detecting significant interaction between genotype and environment, the adaptability and phenotypic stability of corn genotypes for silage were analyzed using the GGE biplot methodology. The GGE biplot analysis was efficient in interpreting the data and represented 83.68% of the total variation in the first two principal components. The use of the GGE biplot method allowed the recommendation of more productive, stable, and responsive hybrids for the state of Rio de Janeiro. The hybrid UENF MS2208 is indicated for cultivation in the state of Rio de Janeiro for combining high green biomass yield and stability. INTRODUCTIONCorn (Zea mays L.) is a crop that has importance in the socioeconomic, environmental, and cultural spheres worldwide and also in Brazil. It mainly is due to its potential use in human and animal food and biofuel production among others AEC, average environment coordinate; G × E, genotype × environment interaction; GGE, genotype and genotype × environment interaction; GMY, green biomass yield.

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Section: Resultsmentioning

confidence: 99%

“…(D. P. D. Cruz et al., 2020; Santos, Ceccon, et al., 2017), soybean [ Glycine max (L.) Merr.] (Albuquerque et al., 2022), and sorghum [ Sorghum bicolor (L.) Moench] (Gomes et al., 2019; K. J. Silva et al., 2021), but there are few reports in the literature about its use in corn for silage production.…”

Section: Introductionmentioning

confidence: 99%

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

et al. 2023

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“…Effectively, the BLUP presents a favorable characteristic for the shrinkage of the estimators towards the mean and reduces its variance and increases its predictive precision [35]. The REML/BLUP procedure has been widely used in annual allogamy breeding crops such as Zea mays (L.) [36][37][38] and autogamy such as Glycine max (L.) [39,40]. The procedure has also been applied to selection for perennial crops e.g., Prunus persica (L.) [41], but the approach is less common.…”

Section: Introductionmentioning

confidence: 99%

Genetic Parameters, Prediction of Gains and Intraspecific Hybrid Selection of Paspalum notatum Flügge for Forage Using REML/BLUP

et al. 2022

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Genetic improvement of native forage species is a sustainable alternative for maximizing livestock production. Paspalum notatum Flügge is the most important forage grass in the native grasslands of southern Brazil, with substantial potential available for further genetic improvement. The objective of this study was to quantify a range of genetic parameters and predict yield gains in a population of P. notatum intraspecific hybrids. Results indicated intraspecific hybrids of P. notatum had high magnitudes of heritability in the broad and average sense of genotype, plus high selective accuracy and genetic variation for all forage characteristics evaluated. This indicated REML/BLUP can contribute useful information for plant selection in future plant breeding programs. The genetic material studied showed high genetic variability for forage production. Analysis indicated hybrids 336, 332, 437, 132 and male parent ‘30N’ should be included in new crosses to increase the dry matter production of P. notatum. Parents need to be selected from different groups in order to maximize genetic variability and heterosis. In addition, these parents must be included in diallel crosses. The results obtained in this study provide important information for the future breeding of improved P. notatum cultivars for commercialization.

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Genotype-environment interaction in maize hybrids: a multivariate relationship between yield components, morphological variables and disease tolerance

Souza

Filho

Policarpo

et al. 2023

New Zealand Journal of Crop and Horticultural Science

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Adaptability and stability of soybean (Glycine max L.) genotypes in semiarid conditions

Cited by 4 publications

References 22 publications

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

Genetic Parameters, Prediction of Gains and Intraspecific Hybrid Selection of Paspalum notatum Flügge for Forage Using REML/BLUP

Genotype-environment interaction in maize hybrids: a multivariate relationship between yield components, morphological variables and disease tolerance

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