Adaptability, stability, and agronomic performance of cowpea lines in Mato Grosso, Brazil

Alves, S. M.; Júnior, José Ângelo Nogueira de Menezes; Rocha, M. de M.; Silva, K. J. D. E; Olibone, Dácio

doi:10.5039/agraria.v15i3a7896

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…G reen grain length (GGL) showed a negative correlation with three variables, suggesting that this variable had a negative influence and should be considered in cowpea breeding programs aimed at green-grain production. When studying cowpea, Alves et al (2020) also reported a significant correlation between pod and grain variables, suggesting the possibility of associating these characteristics with implications for selection.…”

Section: Groupsmentioning

confidence: 96%

Prospection of cowpea genotypes for green-grain production

Pessoa

Bertini

Costa

et al. 2022

RCA

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Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this perspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza -CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coeffi cient (ICC) was calculated. Principal components analysis, Tocher's clustering and correlation analysis were used in the study. The variables most infl uenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production.

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Section: Groupsmentioning

confidence: 96%

Prospection of cowpea genotypes for green-grain production

Pessoa

Bertini

Costa

et al. 2022

RCA

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Adaptability and stability of mungbean genotypes in the Mid-North of Mato Grosso, Brazil

Noleto,

Menezes Júnior,

Olibone

et al. 2023

Ciênc. agrotec.

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Evaluation of genotype x environment interactions is essential in plant breeding aimed at adapting crops to new settings. Considering the need for research on the adaptation of mungbean to grain-production regions of Brazil, this study evaluated the agronomic performance, adaptability, and stability of mungbean production in the mid-north of Mato Grosso using different genotypes. Two experiments (with and without fertilizer application) were carried out in Sorriso and Sinop in 2019 and 2020, totaling eight environments. The treatments were 10 mungbean lines and the control cultivar BRSMG Camaleão. In general, significant differences among the treatments were observed in the yield, mass of 100 grains, and value for cultivation. The genotype x environment interactions were significant for yield. On average, the yield was in the range of 734-1305 kg ha-1, the mass of 100 grains was 4.63-6.56 g, and the value for cultivation was 2.08-3.56. Genotypes BRA-08654-1, BRA-000027, BRA-084654-2, and BG3 combined high average yield and mass of 100 grains. These genotypes also showed good adaptability for cultivation in the mid-north of Mato Grosso. The yellow seed-coated genotype BRA-084689 also showed good agronomic performance and adaptability. Genotypes BRA-08654-1, BRA-000027, BRA-084654-2, BRA-084689, and BG3 are promising for further experiments evaluating the value for cultivation and use, the final breeding stage consisting of tests at a national level.

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GGE biplot analysis of the adaptability and stability of wheat genotypes in Mozambique

Dique,

Miguel,

Pedro

et al. 2023

Pesq. agropec. bras.

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The objective of this work was to use the GGE biplot method to select superior wheat genotypes for adaptability and stability, and to determine grain yield in Sussundenga, Bárué, and Lichinga, in Mozambique, in the 2018/2019, 2019/2020, and 2020/2021 crop years. Eleven treatments were evaluated, using ten wheat genotypes from International Maize and Wheat Improvement Center and a control cultivar developed by a Zimbabwean seed company and used in the national wheat program of the country. Grain yield was the main trait evaluated through individual and joint analyses of variance, adaptability, and stability. The effects of genotypes and the genotype × environment interaction were significant. The adaptability and stability analysis using the GGE biplot method showed that the first two main components explained 94.6% of the total variation for year effect, and 91.8%, for the location effect. The following genotypes can be selected for favorable and unfavorable environments: G1, considered ideal due to its high mean yield and stability over the years; and G4 and G7, for simultaneously showing a high yield and stability over the years.

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Adaptability, stability, and agronomic performance of cowpea lines in Mato Grosso, Brazil

Cited by 3 publications

References 15 publications

Prospection of cowpea genotypes for green-grain production

Prospection of cowpea genotypes for green-grain production

Adaptability and stability of mungbean genotypes in the Mid-North of Mato Grosso, Brazil

GGE biplot analysis of the adaptability and stability of wheat genotypes in Mozambique

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