Genetic divergence of common bean cultivars

Veloso, J.S.; Silva, W.; Pinheiro, Lucas Rezende; Santos, João Bosco dos; Fonseca, N.; Euzebio, Milena Pierotti

doi:10.4238/2015.september.22.22

Cited by 18 publications

(9 citation statements)

References 20 publications

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“…Cardoso et al (2014) obtained an average of 8.29 alleles per locus in a study of genetic divergence of 157 commercial common bean cultivars using 24 polymorphic primers. In this study, an average number of alleles per locus less than the numbers presented by the authors were observed, probably because of the smaller number of genotypes evaluated and the greater kinship among them (Veloso et al, 2015).…”

Section: Resultscontrasting

confidence: 83%

Genetic diversity within and among two-spotted spider mite resistant and susceptible common bean genotypes

Yousefi

Tahmasebi

Moghadam

et al. 2017

AAS

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Two-spotted spider mite (Tetranychus urticae <a title="Carl Ludwig Koch" href="https://en.wikipedia.org/wiki/Carl_Ludwig_Koch">C. L. Koch</a>, 1836), is one of the most destructive herbivores of common bean. Very little is known about the diversity among resistant sources in this crop. The present study was conducted to characterize 22 resistant and susceptible common bean genotypes by 8 Simple Sequence Repeats (SSRs) and 8 Random Amplified Polymorphic DNA (RAPD) markers. These SSR and RAPD primers produced 100 % and 81.8 % polymorphic bands. Based on RAPD fingerprints and SSR profiles, pairwise genetic similarity ranged from 0.0 to 0.857 and from 0.125 to 1, respectively. The resistant and susceptible common bean accessions were grouped together in the dendrograms generated from RAPD and SSR clustering analyses. The results indicate that RAPD and SSR analysis could be successfully used for the estimation of genetic diversity among genotypes. SSR markers could group genotypes according to their resistibility and susceptibility to the spotted spider mite but RAPD could not. Therefore, the SSR markers can facilitate the development of resistant common bean cultivars through breeding programs against T. urticae.

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Section: Resultscontrasting

confidence: 83%

Genetic diversity within and among two-spotted spider mite resistant and susceptible common bean genotypes

Yousefi

Tahmasebi

Moghadam

et al. 2017

AAS

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“…The study of genetic divergence is an important tool to identify parents that contrast the most for crosses seeking to increase the variability through breeding. Knowledge of genetic diversity can be used to produce new cultivars (Veloso et al, 2015). In our study, all investigated traits presented genetic variability in at least two experiments with exception of IHFP.…”

Section: Discussionmentioning

confidence: 76%

Analysis of the genetic divergence of soybean lines through hierarchical and Tocher optimization methods

et al. 2016

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This study aimed to evaluate the clustering pattern consistency of soybean (Glycine max) lines, using seven different clustering methods. Our aim was to evaluate the best method for the identification of promising genotypes to obtain segregating populations. We used 51 generations F5 and F6 soybean lines originating from different hybridizations and backcrosses obtained from the soybean breeding program of Universidade Federal de Uberlândia in addition to three controls (Emgopa 302, BRSGO Luziânia, and MG/BR46 Conquista). We evaluated the following agronomic traits: number of days to flowering, number of days to maturity, height of the plant at maturity, insertion height of the first pod, grain yield, and weight of 100 seeds. The data was submitted to analyses of variance followed by average Euclidean distance matrix estimation used as measure of dissimilarity. Subsequently, clusters were formed using the Tocher method and dendrograms were constructed using the hierarchical methods simple connection (nearest neighbor), complete connection (most distant neighbor), Ward, median, average within cluster connection. The nearest neighbor method presented the largest number of genotypes in group I and showed the greatest similarity with the Tocher optimization method. The joint use of these two methodologies allows for differentiation of the most genetically distant genotypes that may constitute the optimal parents in a breeding program.

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“…Earlier studies also mentioned that a large number of genotypes with similarity for agronomic and/or seed descriptors were grouped into a single group, when clustering analysis was carried out by the Tocher optimization method (Bonett et al, 2006;Elias et al, 2007;Barelli et al, 2009;Gonçalves et al, 2014). Veloso et al (2015), using microsatellite markers associated with quantitative trait loci for agronomic traits, verified that some parents in common were used in crossings to obtain new common bean cultivars in use in Brazil. This resulted in a great genetic similarity among the Mesoamerican common bean genotypes being cultivated in Brazil.…”

Section: Discussionmentioning

confidence: 99%

Genetic dissimilarity of common bean lines for agronomic and biofortification traits

Maziero¹,

Ribeiro²,

Casagr³

2017

Genet. Mol. Res.

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ABSTRACT. The evaluation of the genetic dissimilarity of common bean lines obtained by the breeding program is significant to identify duplicate accessions, to select superior lines, and to plan new hybrid combinations. The objectives of this study were to evaluate the genetic dissimilarity of common bean genotypes for agronomic and mineral biofortification traits, select superior lines, and identify promising hybrid combinations for biofortification programs. For this purpose, 169 common bean genotypes (F 6:8 inbred lines and parental cultivars) were evaluated in two experiments conducted in a simple lattice design in Santa Maria-RS, Brazil. The following agronomic traits were evaluated: insertion of the first pod, insertion of the last pod, cycle, mass of 100 grains, grain yield, and concentrations of potassium, phosphorus, zinc, and copper in grains. The genotypes assessed presented genetic variability for all traits, except for copper concentration in grains. The traits that showed the highest contribution to the genetic dissimilarity were the concentrations of phosphorus, potassium, and zinc in grains. In cluster analyses, six groups by principal components and 33 groups by the Tocher optimization method were identified. These methods partially agreed in the formation of different groups of common bean genotypes. Controlled crossings between the lines 17 and 162 with lines of groups XX, XXI, XXIV, and XXXIII are recommended to obtain recombinants with high grain yield and biofortified for phosphorus, potassium, and zinc.

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Genetic divergence of common bean cultivars

Cited by 18 publications

References 20 publications

Genetic diversity within and among two-spotted spider mite resistant and susceptible common bean genotypes

Genetic diversity within and among two-spotted spider mite resistant and susceptible common bean genotypes

Analysis of the genetic divergence of soybean lines through hierarchical and Tocher optimization methods

Genetic dissimilarity of common bean lines for agronomic and biofortification traits

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