Genetic progress resulting from forty-three years of breeding of the carioca common bean in Brazil

Barili, Leiri Daiane; Vale, Naine Martins do; Moura, Luciana Coelho de; Paula, Ramon Gonçalves de; Silva, F. F.; Carneiro, José Eustáquio Souza

doi:10.4238/gmr.15038523

Cited by 14 publications

(17 citation statements)

References 16 publications

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“…In our study, the application of microsatellite markers as an auxiliary tool for estimating the genetic relationship of common bean genotypes and the genetic representativeness of parents to thus guide selection of divergent progenies in the sense of strengthening genetic gains in future cycles of the recurrent selection program proved to be useful. In addition to the diversity observed among the progenies, in general, it is in the interest of breeders to select genotypes that have the highest possible number of agronomic traits important for the crop (Elias et al, 2007;Barili et al, 2016). In this study, not only resistance to CBB, but also seed yield and commercial quality of seed are traits of greatest interest.…”

Section: Discussionmentioning

confidence: 99%

Research Article Genetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight

Melo¹,

Silva²,

Pereira³

et al. 2019

Genet. Mol. Res.

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Common beans are a key source of protein and are consumed daily by most of the Brazilian population. More than 70% of what is consumed in this country is classified as carioca beans, based on seed qualities and appearance. We evaluated progenies of carioca common beans of the Brazilian agriculture research agency (Embrapa) recurrent selection program. This recurrent selection program is based on resistance to common bean bacterial blight (CBB), seed yield, and other important agronomic traits. Selection also considers the genetic representativeness of the parents and the genetic diversity among phenotypically selected progenies. Initially, 60 superior progenies were selected based on resistance to CBB and on seed type, in two locations (Santo Antônio de Goiás, GO and Ponta Grossa, PR). These progenies were evaluated in the C 0 S 0:2 generation in field trials in six locations during the rainy growing season. A randomized block experimental design was used with two replications, in plots of two 3-m rows spaced at 0.5 m. The most promising C 0 S 0:3 progenies for combined agronomic performance in the different environments were selected and were then evaluated by means of 24 microsatellite molecular markers for the purpose of determining the ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (4): gmr18368 L.C. Melo et al. 2 genetic representativeness of their parents and the genetic diversity among them. The phenotypic data was subjected to analysis of variance for each trait in each of the environments, and then joint analyses were performed. To estimate genetic diversity among the progenies, the Rogers-W genetic distance was used, and a dissimilarity matrix was used to construct a dendrogram of genetic distances through the UPGMA method. Among the 60 C 0 S 0:2 progenies that were evaluated, those that stood out for resistance to CBB also stood out for seed yield and for resistance to other diseases. Various progenies were superior, exhibiting large genetic distances between each other and in relation to the parents. This indicates a possibility of direct and indirect gains from the recurrent selection program. This molecular information will help direct selection of individuals for future recombination cycles.

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Section: Discussionmentioning

confidence: 99%

Research Article Genetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight

Melo¹,

Silva²,

Pereira³

et al. 2019

Genet. Mol. Res.

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“…Breeding programs for common bean are important to increase crop yield and genetic gains in seed yield range from 0.5 to 6.7 % per year (Chiorato et al, 2010;Barili et al, 2016;Zeffa et al, 2020). Nevertheless, yield of cultivars is still below the potential of species (Beebe et al, 2013), especially because of biotic and abiotic factors that affect plant growth and development (Fahad et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Water deficit on the physiological, morphoagronomic, and technological traits of carioca common bean genotypes

Gonçalves

Paulino

et al. 2022

Sci. agric. (Piracicaba, Braz.)

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Water deficit can alter the morphological, agronomic, physiological, and technological traits of the common bean plant, affecting bean grain yield. In addition to yield aspects, the grain post-harvest quality is a decisive factor for the adoption of a new cultivar.Thus, this study evaluated the effect of water deficit on the physiological, morphoagronomic, and technological traits of common bean. The experiment was carried out at in a greenhouse in a randomized block design with a 30 × 2 factorial arrangement, consisting of 30 carioca common bean genotypes and two water regimes (with and without water stress), with three replications.The water deficit affected most morphological, agronomic, and physiological traits; however, it was not significant on the darkening of the seed coat. Cultivars IAC 1849 Polaco, ANFc 5, ANFc 9, BRSMG Madrepérola, IAC Carioca Aruã, TAA Dama, and Branquinho exhibited high yield potential under water stress treatment as well as slow seed coat darkening during nine months of storage. The selection of bean genotypes with slow seed coat darkening could be performed at 30 days of storage.

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“…The development of common bean cultivars contributed significantly to the increase in the mean national yield of 500 kg ha −1 (in the 1970s) [1] for more than 1331 kg ha −1 (in the 2018/2019 season) in the mean of three planting seasons (first crop or water (1504.50 kg ha −1 ), second crop or drought (1492 kg ha −1 ) and third crop or irrigated (996.5 kg ha −1 ), seeing current Black, Carioca and other grain color patterns of common beans cultivars [2]. The progress in grain yield, productivity components, grain technological quality and nutritional quality, is mostly attributed to genetic improvement [3,4]. Besides these, flowering time traits, for example, days to flowing (DTF) and days to first flower (DFF) presents importance in a breeding program of common bean.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars

Rosado

Cruz

Barili³

et al. 2020

Agriculture

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Flowering is an important agronomic trait that presents non-additive gene action. Genome-enabled prediction allow incorporating molecular information into the prediction of individual genetic merit. Artificial neural networks (ANN) recognize patterns of data and represent an alternative as a universal approximation of complex functions. In a Genomic Selection (GS) context, the ANN allows automatically to capture complicated factors such as epistasis and dominance. The objectives of this study were to predict the individual genetic merits of the traits associated with the flowering time in the common bean using the ANN approach, and to compare the predictive abilities obtained for ANN and Ridge Regression Best Linear Unbiased Predictor (RR-BLUP). We used a set of 80 bean cultivars and genotyping was performed with a set of 384 SNPs. The higher accuracy of the selective process of phenotypic values based on ANN output values resulted in a greater efficacy of the genomic estimated breeding value (GEBV). Through the root mean square error computational intelligence approaches via ANN, GEBV were shown to have greater efficacy than GS via RR-BLUP.

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Genetic progress resulting from forty-three years of breeding of the carioca common bean in Brazil

Cited by 14 publications

References 16 publications

Research Article Genetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight

Research Article Genetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight

Water deficit on the physiological, morphoagronomic, and technological traits of carioca common bean genotypes

Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars

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