Genetic and phenotypic parameters associated with soybean progenies in a recurrent selection program

Soares, Igor Oliveri; Bianchi, Mariane Cristina; Bruzi, Adriano Teodoro; Gesteira, Gabriel de Siqueira; Silva, Karina Barroso; Guilherme, Scheila Roberta; Cianzio, Silvia R.

doi:10.1590/1984-70332020v20n4a59

Cited by 7 publications

(11 citation statements)

References 23 publications

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“…For breeding programs, a prerequisite is the existence of genetic variability to analyze the feasibility of the selection process (Soares et al, 2020). In turn, for the characters of NBN, NPN, NP1G, NP2G, NP3G and TNP, no genetic variance was observed (Table 1).…”

Section: Resultsmentioning

confidence: 99%

Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity

et al. 2022

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Genetic parameters and correlations are useful tools in breeding programs, helping to make decisions about the most efficient method of selecting soybean progenies. The objective was to determine genetic parameters and correlations between characters in 52 soybean genotypes, from 4 populations and to select the superior progenies for early cycle and grain productivity. The experiment was carried out in a randomized block design consisting of 52 RCF3:4 progenies and three controls (UFUS7010, TMG801, BRSGO7560). Agronomic and yield traits were evaluated. For the number of days to flowering and maturity, plant height at maturity and number of nodes at maturity, a high heritability estimate and favorable conditions for selection were observed. The existence of correlations between the characters was verified with the predominance of genetic causes, which allows the success in the indirect selection. By the Mulamba and Mock method, the highest selection gain was obtained, however, for the genotype-ideotype distance index method, greater gains were obtained for production components, therefore, 15 early cycle and productive superior RCF3:4 progenies were selected with a cycle between 79.0 and 105.0 days and production of 302.5 to 463.0 g plot-¹.

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Section: Resultsmentioning

confidence: 99%

Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity

et al. 2022

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“…Resende (2015) found that a broad estimate of heritability presents a moderate magnitude (0.15 < h 2 g < 0.50). This value represents the expected grain yield trait in soybean, once the trait assessed is considered a quantitative trait and is largely influenced by environmental effects (Soares et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach

Evangelista

Peixoto

Coelho

et al. 2021

Crop Breed. Appl. Biotechnol.

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The genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of this study were: i) propose the Multi-Environment Index Based on Factor Analysis and Ideotype-Design/Markov Chain Monte Carlo (FAI/ MCMC index), and ii) apply it for soybean genotypes recommendation. To this end, a data set with 30 soybean genotypes evaluated in 10 environments for grain yield trait was used. Variance components, genetic parameters and genetic values were estimated through MCMC algorithm. Environmental stratification was conducted by factor analyses and the selection of soybean genotypes was performed using the FAI/MCMC index. The results indicated the existence of genotypic variability and G×E interaction. The environments were grouped into three factors. The predicted genetic gains from indirect selection was 4.81%. Thus, our results suggest that the FAI/MCMC index can be successfully used in soybean breeding.

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“…The progenies evaluated came from the Soybean Breeding Program of UFLA. Twelve progenies were selected from the recurrent selection program for early maturity (Group I; Ribeiro et al., 2020), and 12 progenies were selected from the recurrent selection program for seed yield (Group II; Soares et al., 2020).…”

Section: Methodsmentioning

confidence: 99%

Combining abilities of soybean progenies and bradyrhizobium strains for biological nitrogen fixation

et al. 2023

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We aim to study the biological nitrogen fixation (BNF) ability of soybean (Glycine max) progenies and their ability for symbioses using different Bradyrhizobium strains, as well as select progenies and strains that are more efficient in BNF to guide strategies in soybean breeding. An experiment was conducted in a greenhouse, evaluating 24 soybean progenies and five Bradyrhizobium strains. Mean values from analysis of variance were compared by the Scott-Knot test, and partial diallel analysis was performed to estimate general and specific combining ability. Following analysis of the greenhouse experiment, 10 soybean progenies and two Bradyrhizobium strains (SEMIA 587 and INPA 03-11B) were selected to carry out a field trial experiment.Biological nitrogen fixation was affected by genotype, strain, and genotype × strain interactions. Additive effects were predominant on the traits related to BNF, indicating that recurrent selection could be an effective breeding strategy. The progenies showed higher values for the traits related to field nodulation but did not improve seed yield. The EA-8 progeny stood out for high yield and had good results in traits related to BNF and early maturity. The INPA 03-11B strain had the best result for seed yield, indicating high potential for use as an inoculant in soybean crops.

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Genetic and phenotypic parameters associated with soybean progenies in a recurrent selection program

Cited by 7 publications

References 23 publications

Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity

Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity

Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach

Combining abilities of soybean progenies and bradyrhizobium strains for biological nitrogen fixation

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