Application of multivariate techniques in the evaluation of pure lines of beans

Schmit, Rodolfo; Melo, Rita Carolina de; Pereira, Tâmara; Beck, Mattheus; Guidolin, Altamir Frederico

doi:10.1590/0103-8478cr20140329

Cited by 6 publications

(6 citation statements)

References 9 publications

(9 reference statements)

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“…Morphological traits have also been used to characterize upright plant architecture in common bean such as insertion of the first pod, plant height, length and number of internodes, among other traits described by Acquaah et al (1991), Teixeira et al (1999), Moura et al (2013), and Ribeiro et al (2018a). These traits have been assessed in samples from five to ten plants randomly harvested from an experimental plot (Schmit et al, 2016;Ribeiro et al, 2018a) or in all plants of a plot (Acquaah et al, 1991). This requires a lot of time and effort to obtain results, making the selection process inefficient.…”

Section: Introductionmentioning

confidence: 99%

Research Article Upright plant architecture traits and their relationship with grain yield in the selection of Mesoamerican common bean lines cultivated at low altitude

Ribeiro¹,

Kläsener²,

Somavilla³

et al. 2019

Genet. Mol. Res.

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The development of common bean cultivars with upright plant architecture and high grain yield meets the needs of bean growers by facilitating culture management and mechanized harvest. The objectives of this study were to evaluate whether Mesoamerican common bean lines differ for upright plant architecture traits and grain yield, analyze correlations between these traits, and to select superior common bean lines based on a selection index. Four experiments were carried out in different years and growing seasons at low altitude (95 m above sea level) in southern Brazil. These experiments were composed of 17 carioca and black bean inbred lines, which are representative of the most widely produced and consumed common bean classes in Brazil. Upright plant architecture was assessed by 12 characters, and the resulting data were subjected to individual and joint analyses of variance, correlation, and selection index (rank sum). A significant effect for genotype and/or genotype x environment interaction was observed for all traits, except for the length of the first internode and hypocotyl diameter. Most plant architecture traits were correlated, indicating that it is possible to reduce the number of traits that need to be evaluated. Grain yield was negatively correlated with the lengths of ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (2): gmr18323 N.D. Ribeiro et al. 2the fourth (r = -0.574) and fifth internodes (r = -0.641). General adaptation score, insertion of the first pod, and lengths of the fourth and fifth internodes were efficient to characterize upright plant architecture in the common bean. Indirect selection by the shortest length of the fourth and fifth internodes was efficient to increase grain yield. The genotypes LP 11-117, SM 0312, BRS Valente, and Guapo Brilhante were selected based on a rank sum index. These genotypes present upright plant architecture and high grain yield, which is a common bean ideotype suitable for cultivation at low altitude in southern Brazil.

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Section: Introductionmentioning

confidence: 99%

Research Article Upright plant architecture traits and their relationship with grain yield in the selection of Mesoamerican common bean lines cultivated at low altitude

Ribeiro¹,

Kläsener²,

Somavilla³

et al. 2019

Genet. Mol. Res.

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“…Multivariate analysis also improves accuracy when classifying and identifying superior genetic components (Coimbra et al, 2007; Schmit et al, 2016) and helps scientists understand the type of allele interaction involved in heredity and the relationships between specific traits (Bertan et al, 2009; Castro et al, 2013; Huang et al, 2015).…”

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confidence: 99%

Multivariate Bayesian Analysis of On‐Farm Trials with Multiple‐Trait and Multiple‐Environment Data

Montesinos‐López

Vargas-Hernández

et al. 2019

Agronomy Journal

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Multivariate analysis is preferred over univariate analysis in plant breeding studies because it can exploit correlated traits and environments, whereas Bayesian analysis provides a natural way to incorporate prior knowledge and inferences that are conditional on the observed data. The objective of this paper is to show how to use multivariate Bayesian analysis for estimating random effects of genotype × environment and genotype × environment × trait combinations, and for computing genotypic and phenotypic correlations among traits and environments. Data were collected from on-farm trials conducted by the International Maize and Wheat Improvement Center (CIM-MYT) to evaluate bread and durum wheat lines in the Yaqui Valley of southern Sonora, México, during three crop seasons (2012, 2013, and 2015). The Bayesian multi-trait and multienvironment model with Gibbs sampler provides an analytic solution that can be used as an alternative for analyzing on-farm multiple-trait and multiple-environment data because it allows making parsimonious, precise and simultaneous estimations of random effects, genetic correlations (of traits and environments) and residual correlations of traits. The multivariate Bayesian model successfully fitted three of the four data sets (2012, 2015, and combined cropping seasons), but did not fit well the data of crop season 2013. For three out of five traits under study in this crop season, the correlations between the observed and predicted phenotypic values were lower than 0.6, suggesting that the predicted values were not very close to the observed values.

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“…In other words, there is a phenotypic variation between feijoa accessions to the fruit pulp characteristic evaluated in this experiment, indicating that at least two accessions are different from each other. According to the PCA and CA, it was possible to discriminate the accession in similar groups; however, it is necessary to test hypotheses to determine whether these differences are associated with phenotypic variation between the accessions 67 …”

Section: Resultsmentioning

confidence: 99%

“…According to the PCA and CA, it was possible to discriminate the accession in similar groups; however, it is necessary to test hypotheses to determine whether these differences are associated with phenotypic variation between the accessions. 67 Therefore, a test of multivariate orthogonal contrast was applied between the accessions of feijoa pulp (Table 8) and a significant difference between the groups formed was obtained by Wilks' Lambda test to 5% of probability. These results support the genetic variability among the groups formed, which indicates success in the hybridization, with respect to the characters of the feijoa pulp.…”

Section: Multivariate Analysismentioning

confidence: 99%

Feijoa [Acca sellowiana (Berg) Burret] accessions characterization and discrimination by chemometrics

et al. 2020

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BACKGROUND: Feijoa [Acca sellowiana (Berg) Burret] is a Brazilian native fruit with few commercial-level plantations and high agroindustrial potential. A genotype evaluation experiment was conducted from 1996 onward, aiming to obtain fruits based on the agronomical parameters; however, the selection based on chemical composition had not been evaluated with respect to developing a new cultivar. Accordingly, the present study aimed to discriminate seven accessions of feijoa in terms of nutritional composition, phenolic compounds and antioxidant activity using multivariate analysis (principal component analysis and multivariate contrast), targeting the potential production of a new cultivar with better nutritional value and high antioxidant capacity. RESULTS: Feijoa husk presented high content of ashes, lipids, proteins, carbohydrates, phenolic compounds and antioxidant activity compared to feijoa pulp. However, only feijoa pulp was selected to multivariate analysis because it is the fruit edible part. Data variability was explained in 78% and the feijoa pulp accessions were discriminated into four groups related to their characteristics. The accession 5 discrimination can be explained by the high content of ashes, carbohydrates, soluble solids, phenolic compounds and antioxidant activity. Accession 6 was also discriminated by the high content of total acidity, pH and proteins, as well as a low content of soluble solids. CONCLUSION: Feijoa accessions may be indicated for increasing plant selection via hybridization with the other accessions, aiming to produce new cultivars with better nutritional composition and antioxidant capacity. For example, accession 5 is the most suited fruit for human consumption and is a potential plant with respect to becoming a new cultivar.

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Application of multivariate techniques in the evaluation of pure lines of beans

Abstract: ABSTRACT

Cited by 6 publications

References 9 publications

Research Article Upright plant architecture traits and their relationship with grain yield in the selection of Mesoamerican common bean lines cultivated at low altitude

Research Article Upright plant architecture traits and their relationship with grain yield in the selection of Mesoamerican common bean lines cultivated at low altitude

Multivariate Bayesian Analysis of On‐Farm Trials with Multiple‐Trait and Multiple‐Environment Data

Feijoa [Acca sellowiana (Berg) Burret] accessions characterization and discrimination by chemometrics

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