Simultaneous selection for yield, stability, and adaptability of carioca and black beans

Santos, Paulo Ricardo dos; Costa, Kleyton Danilo da Silva; Nascimento, Maxwel Rodrigues; Lima, Thalyson Vasconcelos; Souza, Yure Pequeno de; Silva, José Wilson da

doi:10.1590/s0100-204x2018000600010

Cited by 9 publications

(7 citation statements)

References 11 publications

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“…For 100 seed weight, the CV ranged from 2.2 to 6.2%, and the SA ranged from 0.89 to 0.98, considered very high. These estimates indicated good experimental precision for the two traits and they are similar to those reported by Chiorato et al (2015) and Santos et al (2018).…”

Section: Resultssupporting

confidence: 86%

Recurrent selection for high iron and zinc concentrations in black bean grain

et al. 2021

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The iron concentration (FeC) and zinc concentration (ZnC) in common bean grain are quantitative traits, and appropriate breeding techniques are required to achieve genetic gain. The aim of this study was to obtain a recurrent selection population of black bean to increase the FeC and ZnC in the grain and to select the superior progenies for formation of the next cycle and obtain lines. The base population was formed by crosses among ten parents. A total of 351 progenies were obtained, and, after two generations of selection, the 27 best progenies were evaluated in two field trials for FeC, ZnC, 100 seed weight and yield. Analyses of variance were carried out and genetic parameters were estimated. The heritability estimates ranged from 59 to 94% for the four traits. The estimates of expected gain from direct selection for each trait (3 to 21%) and simultaneous selection (1 to 4%) indicate success from selection. The eight progenies, selected based on simultaneous selection, have superior mean values, including to those of 'BRS Supremo' (10% for FeC, 8% for ZnC, 5% for 100 seed weight and 3.8% for yield), the Brazilian black bean cultivar with the highest FeC and ZnC. The recurrent selection population shows high genetic variability and potential for obtaining lines superior to the cultivars currently on the market, allying high agronomic performance and high FeC and ZnC in the grain. Furthermore, this population shows potential for generating a new recurrent selection cycle, from recombination of the eight superior progenies.

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Section: Resultssupporting

confidence: 86%

Recurrent selection for high iron and zinc concentrations in black bean grain

et al. 2021

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“…Besides the environmental effects, reduced heritability may be associated with the nature of the character and the low genetic variability of the study population (RAMALHO et al, 1993;TORRES FILHO et al, 2017), observed low heritability (0.4) when evaluating cowpea strains for immature grain yield under environmental and soil conditions in Mossoró-RN. SANTOS et al (2018), obtained similar heritability when evaluating the adaptability and stability of common bean genotypes for grain yield in environments of the state of Pernambuco, using the methodology (REML/BLUP).…”

Section: Resultsmentioning

confidence: 83%

Combined selection for adaptability, genotypic stability and cowpea yield from mixed models

et al. 2021

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The potential expression of crop productivity is a constant challenge for plant breeders in the face of oscillations in environmental variables, making selection difficult and increasing the operational and methodological costs in obtaining the ideal cultivar for a determined region. The objective of the research was to investigate the effects of genotype x environment interaction in the selection of cowpea lines with high grain yield, adaptability, and genotypic stability simultaneously, in environments of the Northwest region of Rio de Janeiro State, using mixed models (Maximum Restricted Likelihood - REML/Best Linear Unbiased Prediction - BLUP). 27 cowpea genotypes were evaluated in six environments by combining location (Cambuci-RJ and Bom Jesus do Itabapoana-RJ) and year (2016, 2017 and 2018). A randomized block design with four replications was performed. The genetic parameters were estimated via the REML/BLUP procedure, and the selection was based on the harmonic mean method of the relative performance of the genetic values (HMRPGV). A meaningful difference was observed for environment and genotype x environment interaction. The residual variance and the variance of the genotype x environment interaction formed the most significant fractions of the phenotypic variance. Lines 4 (Bico-de-ouro 1-5-24), 6 (Pingo-de-Ouro 1-5-4), 5 (Pingo-de-Ouro 1-5-26), and 9 (Pingo-de-Ouro 1-5-8), stood out as superior in terms of stability and adaptability and grain yield by HMRPGV. Commercial cultivars 13 (BRS-Tumucumaque) and 26 (BRS-Itaim) had high grain yield, adaptability, and specific stability in the evaluated edaphoclimatic conditions.

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“…These results indicate that the genotypes of the early Carioca bean group differed genetically for grain yield potential and presented a different response to the environments where they were evaluated. This could be performed by the analyses of adaptability and stability, considering that edaphoclimatic factors have the greatest effect on the adaptability and stability of genotypes (TORRES et al, 2015;SANTOS et al, 2018).…”

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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Simultaneous selection for yield, stability, and adaptability of carioca and black beans

Cited by 9 publications

References 11 publications

Recurrent selection for high iron and zinc concentrations in black bean grain

Recurrent selection for high iron and zinc concentrations in black bean grain

Combined selection for adaptability, genotypic stability and cowpea yield from mixed models

Adaptability and stability of early carioca beans by mixed models

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