Assessing the genotypic performance of carioca beans through mixed models

Souza, Yure Pequeno de; Santos, Paulo Ricardo Junges dos; Nascimento, Maxwel Rodrigues; Costa, Kleyton Danilo da Silva; Lima, Thalyson Vasconcelos; Oliveira, Tâmara Rebecca Albuquerque de; Pereira, H. S.; Silva, José Wilson da

doi:10.1590/0103-8478cr20170761

Cited by 11 publications

(11 citation statements)

References 9 publications

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“…For the 2016-2017 black bean and the 2018-2019 purple bean genotypes, on the other hand, due to the low correspondence between the observed phenotypic and predicted genotypic values, the selection of superior genotypes is possible, but more difficult. Similar findings were reported by Santos et al (2018), who estimated accuracy at 75.91 and 15.72 % for black and carioca bean genotypes, respectively, under the same conditions as in the present study.…”

Section: Effectsupporting

confidence: 92%

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Adaptability and stability of black and purple bean genotypes

Nascimento

Daher

Santos

et al. 2022

Pesqui. Agropecu. Trop.

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Selecting the best genotypes is difficult, due to the genotype × environment interaction effect. When this interaction is present, the study of adaptability and stability can provide the selection of the best genotypes. Thus, the selected genotypes should associate high yield, adaptability to diferent environmental conditions, as well as production stability. This study aimed to evaluate and select black and purple bean precultivars based on adaptability, stability and grain yield. The parameters were estimated via mixed models and the selection using the Harmonic Mean of the Relative Performance of Predicted Genetic Values (HMRPGV) method. The environments infuenced the phenotypic expression of the black and purple bean genotypes, characterizing a specific adaptability. The black bean genotypes BRS Esteio, BRS FP 403, CNFP 15681 and CNFP 16459 and the purple bean inbred lines CNFRx 16340, CNFRx 16346 and CNFRx 16353 showed the best performance, when considering, simultaneously, grain yield, adaptability and stability. The HMRPGV method provided an optimized selection of genotypes with high grain yield, predictability and responsiveness to environmental improvements, and should be used as a selection strategy for common bean genotypes for commercial growing.

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Section: Effectsupporting

confidence: 92%

“…Under these conditions, the selection of superior genotypes is possible, although more costly. Cruz et al (2018) and Souza et al (2018) observed similar results, estimating values of low magnitude and lower than the experimental coefficient of variation for green bean and black bean genotypes, respectively.…”

Section: Resultssupporting

confidence: 54%

Adaptability and stability of black and purple bean genotypes

Nascimento

Daher

Santos

et al. 2022

Pesqui. Agropecu. Trop.

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“…In this context, genotypes with higher yield in an environment tend to exhibit distinct performances in several environments, in addition to unpredictability and low adaptation to environmental variations. Consequently, low values of genotypic correlation were obtained in the different environments, which caused changes in the order of the genotypes selected (SOUZA et al, 2018;SANTOS et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…It also generates results in the unit itself or the scale of the trait evaluated, which may be directly interpreted as breeding values that are not allowed by other methods. This model also allows additional inferences, such as the selection of specific genotypes for each environment; selection of stable genotypes (high predictability) in different environments and years; selection of genotypes (high adaptability) responsive (high adaptability) to the improvement of the environment; and simultaneous selection for yield, stability, and adaptability (CARVALHO et al, 2016;GONÇALVES et al, 2014;SANTOS et al, 2017;SANTOS et al, 2018;SANTOS et al, 2019;SOUZA et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Adaptability and stability of early carioca beans by mixed models

et al. 2020

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The genotype x environment interaction represents one of the major selection challenges due to the difficulty in identifying effectively superior genotypes. The present study aimed at estimating genetic parameters and selecting genotypes of early Carioca beans by analyzing simultaneous attributes, including yield, adaptability, and stability. In the agricultural year of 2015 and 2016, three trials were conducted, using a randomized block design, with three repetitions each, in the Agreste and Sertao regions of Pernambuco State. The genetic parameters were estimated using the mixed model procedure, and the selection was based on the harmonic mean of the relative performance of genetic values (MHPRVG, abbreviation in Portuguese) method. The environments influenced the phenotypic expression of the bean genotypes during both years, setting a specific adaptation. The mean heritability of the genotypes regarding yield exhibited low magnitude values in the trials of 2015 (5.78%) and 2016 (13.77%), indicating costly conditions for the selection of the improved genotypes. Genotype CNFC 15856 was selected, considering the genetic gain predicted for yield, by the average and specific performance in the three environments, and by the simultaneous attributes of yield, adaptability, and stability. The MHPRVG method enables the optimized selection of genotypes considering yield, stability, and adaptability; therefore, it should be included in the recommended selective criteria for agronomically superior genotypes in commercial plantations.

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“…In the summaries of the joint analysis of variance of the trials, significant differences were observed by the F test (P < 0.01) between the sources of variation corresponding to genotypes, environments and G × E interaction, indicating genetic variability between genotypes, heterogeneity in the environmental conditions in which the experiments were conducted and that the genotypes present different responses to different environments (Table 3). The G × E interaction interferes in the stage of genotype selection and subsequent indication of cultivars, since the observed phenotype may not be befitting with the real potential of the genotype, requiring the choice of more adapted and stable genotypes in order to take advantage of information on the interaction, justifying the application of statistical analyzes of adaptability and stability (Souza et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

Adaptability and stability of carioca bean pre-cultivars in Agreste-Sertão Pernambucano

Melo

Santos

Gonçalves

et al. 2022

Agraria

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Adaptability and stability estimates are used by plant breeding programs to identify cultivars that exhibit predictable behavior and great performance in more than one environment. Thus, the objective of this work was to compare biometric techniques for simultaneous selection of carioca bean pre-cultivars for high adaptability, stability and yield of grains under the conditions of Agreste-Sertão Pernambucano of the Brazil. The trials were conducted in the municipalities of Arcoverde, São João, and Belém de São Francisco. Ten pre-cultivars and four commercial witnesses were used and the randomized complete block design was employed, with three repetitions. Grain yield was evaluated in the period 2014-2015. Variance analyzes were performed and the adaptability and stability were estimated by the techniques of Eberhart & Russell, Lin & Binn modified by Carneiro, and AMMI. The techniques were compared using Spearman's correlation. No correlation was observed between Eberhart & Russell and Lin & Binns modified. AMMI is the most complete for isolated use. The pre-cultivars CNFC 15460, CNFC 15462, CNFC 15504 and CNFC 15507 contemplate wide adaptability, stability and productivity, and are indicated for Agreste-Sertão of Pernambuco.

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Assessing the genotypic performance of carioca beans through mixed models

Cited by 11 publications

References 9 publications

Adaptability and stability of black and purple bean genotypes

Adaptability and stability of black and purple bean genotypes

Adaptability and stability of early carioca beans by mixed models

Adaptability and stability of carioca bean pre-cultivars in Agreste-Sertão Pernambucano

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