Genetic diversity between improved banana diploids using canonical variables and the Ward-MLM method

Pereira, Valquiria Martins; Borges, Cristine Vanz; Brandão, L. P.; Oliveira, Larissa Santos; Souza, Cintia Paula Feitosa; Gonçalves, Zalmar Santana; Silva, Sebastião de Oliveira e; Santos-Serejo, Janay Almeida dos; Ferreira, Cláudia Fortes; Amorim, Édson Perito; Lêdo, Carlos Alberto da Silva

doi:10.1590/s0100-204x2012001000010

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…These procedures have been used by Gonçalves et al (2009) in Solanum lycopersicum; Barbé et al (2010) in Phaseolus vulgaris;and Sudré et al (2010) in Capsicum spp. There are also reports of using this procedure to study banana (Pestana et al, 2011;Pereira et al, 2012) and guava (Campos et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Phenotyping of Passiflora edulis, P. setacea, and their hybrids by a multivariate approach

Santos¹,

Viana²,

Freitas³

et al. 2014

Genet. Mol. Res.

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ABSTRACT. Morphological characterization is the most accessible and used method to quantify the genetic diversity of the available germplasm. The multivariate statistical method is highly important for this purpose. This study aimed to characterize parents and hybrids of Passiflora according to morphoagronomic descriptors and estimate the genetic divergence between them based on the joint analysis of qualitative and quantitative variables using the Ward-modified location model (MLM) procedure. One hundred and thirty-eight individuals were assessed (10 P. edulis, 10 P. setacea, and 118 interspecific hybrids) using 23 quantitative and 12 qualitative descriptors. The values for the quantitative descriptors were measured and subjected to multivariate statistics using the Ward-MLM strategy. Large genetic variability was detected by the morphoagronomic data in the 138 genotypes that were evaluated, and the hybrids presented higher variability than the parents. Pseudo-F and pseudo-t 2 criteria showed that the optimal number of groups was three. 9829©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 13 (4): 9828-9845 (2014) Phenotyping in Passiflora L.Group I was composed of 118 hybrid genotypes; group II was composed of the 10 P. setacea genotypes, and group III was composed of the 10 P. edulis genotypes. The longest distance was found between groups II and III (474.96). The shortest distance was detected between groups I and II (198.78), which indicates that the segregating population is genetically closer to P. setacea than to P. edulis. The Ward-MLM procedure is a useful tool to detect genetic diversity and group accessions using both qualitative and quantitative variables.

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Section: Introductionmentioning

confidence: 99%

Phenotyping of Passiflora edulis, P. setacea, and their hybrids by a multivariate approach

Santos¹,

Viana²,

Freitas³

et al. 2014

Genet. Mol. Res.

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“…The Ward-MLM strategy has been employed to measure genetic diversity in fruit trees and other agricultural crops such as Brassica rapa (Padilla et al, 2005), tomato (Gonçalves et al, 2009), common bean (Cabral et al, 2010), green bean (Barbé et al, 2010), banana (Pereira et al, 2012), guava (Campos et al, 2013), passion fruit (Silva et al, 2014), papaya (Nunes da Luz et al, 2014), and coffee (Rodrigues et al, 2016). There are no reports in the literature on popcorn breeding programs under a multivariate approach using the Ward-MLM methodology.…”

Section: Introductionmentioning

confidence: 99%

Multivariate approach in popcorn genotypes using the Ward-MLM strategy: morpho-agronomic analysis and incidence of Fusarium spp

et al. 2017

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ABSTRACT. The multivariate analyses are useful tools to estimate the genetic variability between accessions. In the breeding programs, the Ward-Modified Location Model (MLM) multivariate method has been a powerful strategy to quantify variability using quantitative and qualitative variables simultaneously. The present study was proposed in view of the dearth of information about popcorn breeding programs under a multivariate approach using the Ward-MLM methodology. The objective of this study was thus to estimate the genetic diversity among 37 genotypes of popcorn aiming to identify divergent groups associated with morpho-agronomic traits and traits related to resistance to Fusarium spp. To this end, 7 qualitative and 17 quantitative variables were analyzed. The experiment was conducted in 2014, at Universidade Estadual do Norte Fluminense, located in Campos dos Goytacazes, RJ, Brazil. The Ward-MLM strategy allowed the identification of four groups as follows: Group I with 10 genotypes, Group II with 11 genotypes, Group III with 9 genotypes, and Group IV with 7 genotypes. Group IV was distant in relation to the other groups, while groups I, II, and III were near. The crosses between genotypes from the other groups with those of group IV allow an exploitation of heterosis. The Ward-MLM strategy provided an appropriate grouping of genotypes; ear weight, ear diameter, and grain yield were the traits that most contributed to the analysis of genetic diversity.

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“…Various procedures can be used to characterize germplasm: simple descriptive analysis of quantitative and qualitative variables; estimation of genetic parameters, which reveals the heritability of characteristics and assesses the influence of the environment on the expression of evaluated characteristics; and molecular analyses based on the segregation of polymorphic loci (Santos et al, 2011;Pereira et al, 2012). Multivariate methods are ideal for describing genetic diversity and can carried out by analysis of quantitative and qualitative descriptors or by analysis of the binary data obtained from molecular information (Sudré et al, 2010;Santos et al, 2011;Pereira et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Multivariate methods are ideal for describing genetic diversity and can carried out by analysis of quantitative and qualitative descriptors or by analysis of the binary data obtained from molecular information (Sudré et al, 2010;Santos et al, 2011;Pereira et al, 2012). However, few studies have actually used multivariate analyses for this purpose, or have excluded variables that might contribute effectively to the quantification of genetic diversity and be applied for genetic improvement and germplasm conservation (Crossa and Franco, 2004;Gonçalves et al, 2009;Pereira et al, 2012). The Modified Location Model (MLM) was developed in order to analyze all the variables together (Franco et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis of backcross progeny of Passiflora L. (Passifloraceae) for pre-breeding genotype selection

Melo¹,

Souza²,

Sousa³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. The Ward-MLM procedure was used to evaluate genetic variation in four backcross progenies and in their parents, hybrid F1 HD13 and donor parent Passiflora sublanceolata. Sixteen quantitative descriptors and five qualitative characteristics of relevance to ornamental flower production were assessed. Using the pseudo-F and pseudo-T² criteria, we identified four groups among these plants in two evaluation periods. In both evaluations, the BC 1 plants showed greater dissimilarity to their recurrent parent, but showed high genetic similarity with the P. sublanceolata parent. The first two canonical variables produced by the Ward-MLM procedure accounted for over 90% of the variation in both evaluation periods, enabling the representation of diversity through two-dimensional graphics. Groups II and IV were formed in the first assessment period. Groups I and IV formed in the second period and showed plants with selection potential. We found that it was essential to use both qualitative and quantitative variables for this analysis. Assessments of quantitative descriptors indicate that the 15377 Genetic diversity for Passiflora breeding ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 15376-15389 (2015) selection of BC 1 plants can be performed in any of the four progenies. Because of the similarities observed for some floral descriptors between BC 1 and the P. sublanceolata parent, a second generation backcross was not recommended. However, the selection of BC 1 plants for evaluation and direct use as an ornamental cultivar, or as a resource in other breeding programs, can be recommended.

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Genetic diversity between improved banana diploids using canonical variables and the Ward-MLM method

Cited by 10 publications

References 19 publications

Phenotyping of Passiflora edulis, P. setacea, and their hybrids by a multivariate approach

Phenotyping of Passiflora edulis, P. setacea, and their hybrids by a multivariate approach

Multivariate approach in popcorn genotypes using the Ward-MLM strategy: morpho-agronomic analysis and incidence of Fusarium spp

Multivariate analysis of backcross progeny of Passiflora L. (Passifloraceae) for pre-breeding genotype selection

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