Evaluation of common bean accesses with multi-category variables

Albuquerque, Amanda Nogueira de; Barelli, Marco Antônio Aparecido; Neves, Leonarda Grillo; Arantes, Vinícius Ribeiro; Silva, kleberson Luiz Miranda da

doi:10.4025/actasciagron.v33i4.6944

Cited by 2 publications

(1 citation statement)

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“…Furthermore, these strategies consider sets of genotypes in the context of a complex of variables of interest for breeders, allowing for the selection of genotypes based on several aspects, particularly agronomic ones (Castineiras, 1990). Techniques such as regression (Beale et al, 1967), discriminant analysis (Mardia et al, 1979), principal component, and canonical analysis (Cruz et al, 2004) have been used for the selection or removal of variables aimed at the genetic improvement of plant species (Albuquerque, 2011).…”

Section: Introductionmentioning

confidence: 99%

Genetic Divergence Among Gerbera spp. Genotypes Based on Morphological Traits

Benemann¹,

Arge²,

Barros³

et al. 2013

JAS

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Gerbera is one of the most important ornamental flowers marketed worldwide. Information on the genetic variability of this species represents an important resource for improvement programs that rely on the selection of promising genotypes. The aim of the present study was to assess and characterize the genetic divergence among 32 gerbera accessions based on morphological traits by means of multivariate analysis. A total of 21 traits, nine quantitative and 12 qualitative, were analyzed using clustering analysis and the principal component method. Although the quantitative and qualitative traits were analyzed separately, joint analysis allowed for a more reliable interpretation of the genetic variability and also permitted the identification of wide dissimilarity among the investigated accessions. With regard to the quantitative traits, four main groups were observed, which was in partial agreement with the result of the analysis of canonical variables. The qualitative trait analysis, on the other hand, resulted in the formation of five groups. The traits that contributed most significantly to variability in gerbera were total width of the trans florets set and number of flowers. The data obtained in the present study may be applied directly to improve the design of controlled crosses between gerbera accessions and to better explore the hybrid effect in the process of genetic improvement in this species.

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Section: Introductionmentioning

confidence: 99%

Genetic Divergence Among Gerbera spp. Genotypes Based on Morphological Traits

Benemann¹,

Arge²,

Barros³

et al. 2013

JAS

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Identification of Effective Traits on the Yield in bean Genotypes using Multivariate Statistical Methods

Ghanbari

Mozafari

Darvishi

2017

jcb

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To investigate some quantitative and qualitative traits of genotypes a field study was performed as augmented experiment consisting four checks (Sadri, Koosha, KS21676 and KS21682) and138 genotypes. Vegetative, morphological and agronomical characteristics as well as traits related to pod and seed were studied. Statistical analysis showed that number of seeds per plant and plant height had the greatest variations. Genotypes had significant differences in all growth stages, yield and yield components. Correlation analysis revealed that five traits including days to emergence of the first trifoliate leaf (V 3), plant height, plant type, seeds per pod and grain marketing were significantly correlated with grain yield. Five traits entered into the model based on stepwise regression analysis that were plant type, seeds per pod, grain filling duration (GFD), V 3 and grain marketing. Path analysis results indicated a high direct effect of plant type on grain yield. Due to available direct effects, it was recommended seeds per pod, GFD, V 3 and grain marketing for breeding programs. Overall, due to path analysis results, can be said that the characteristics plant type, seeds per pod and GFD were the most effective direct factors in grain yield variations. Factor analysis using principal component method showed that seven main factors explained more than 76% of the total variation.

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Evaluation of common bean accesses with multi-category variables

Cited by 2 publications

References 3 publications

Genetic Divergence Among Gerbera spp. Genotypes Based on Morphological Traits

Genetic Divergence Among Gerbera spp. Genotypes Based on Morphological Traits

Identification of Effective Traits on the Yield in bean Genotypes using Multivariate Statistical Methods

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