Selection of mango rosa genotypes in a breeding population using the multivariate-biplot method

Maia, Maria Clideana Cabral; Araújo, Lúcio Borges de; Dias, Carlos Tadeu dos Santos; Oliveira, Luís Cláudio de; Vasconcelos, Lúcio Flavo Lopes; Júnior, José Eduardo Vasconcelos de Carvalho; Simeão, Marcelo; Bastos, Yuri Gagarin Muniz

doi:10.1590/0103-8478cr20130722

Cited by 10 publications

(4 citation statements)

References 8 publications

(7 reference statements)

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“…However, the trait can be studied in accordance with fruit weight and fruit length, since analysis of these traits is easy in the experimental field. Similar results were obtained by Maia et al (2016), where the pulp yield was associated with fruit diameter and pulp weight. Pulp yield is a key characteristic in the fruit processing industry.…”

Section: Resultssupporting

confidence: 87%

“…Those that exhibit greater coefficients (eigenvectors) in the components with greater eigenvectors are those that make greater contributions (CRUZ; CARNEIRO, 2003). In studies performed on the mango crop, Maia et al (2016) found that principal component analysis allowed the dimensionality of the original variables to be reduced, because the first two principal components explained 76% of the total variability of the data. Corroborating the present study, the traits of greatest weight for PC1 were fruit weight, fruit length, fruit diameter, Skin weight, and pulp weight, constituting the traits that most contributed to the variability of the genotypes.…”

Section: Resultsmentioning

confidence: 99%

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Genetic Diversity Among Mango Hybrids in the Brazilian Semiarid Region1

et al. 2021

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The aim of this study was to evaluate mango hybrids obtained by open pollination based on the physical and chemical traits of the fruit, and to analyze the genetic diversity among these hybrids to find plants that produce quality fruit both for direct consumption and for industrial processing. The hybrids under study were generated from seeds produced from crosses with unknown genotypes as a result of open pollination. The unknown genotypes were randomly scattered in areas dedicated to growing a Tommy Atkins variety, and plants were obtained from mango seeds generated through sexual propagation. To assess genetic diversity, cluster analysis was carried out, as well as principal component analysis. Two hybrids were most prominent in terms of fruit weight, fruit length, fruit diameter, pulp weight, and pulp yield, with mean values greater than 245 g for pulp weight and 70% for pulp yield. Regarding fiber content in the pulp, six hybrids had a score of "2", that is, moderately fibrous fruit. For acidity and soluble solids content, the hybrids exhibited variations from 0.19 to 1.06% of citric acid and from 13.1 to 20.6 ºBrix, respectively. For peel color, tones ranging from reddish orange to yellow and green were observed. As for pulp color, there was variation from orange to light yellow tones. There was variability among the mango hybrids regarding the fruit traits analyzed, and hybrids that produce fruit that combine traits of economic interest were identified.

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Section: Resultssupporting

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Genetic Diversity Among Mango Hybrids in the Brazilian Semiarid Region1

et al. 2021

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“…The technique creates orthogonal axes called principal components, which are linear combinations between the original variables (Leite et al, 2016). Several variables, as well as study genotypes, are simultaneously analyzed in an accurate, robust and integrated analysis (ACP-biplot) using the biplot technique, which derives from the principal component of the matrix (Maia et al, 2016). Thus, although snap beans are appreciated by consumers, its culture is little studied, but the multivariate technique is relevant for its cultivation, in terms of genotype selection.…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis used as a tool to select snap bean (Phaseolus vulgaris L.) genotypes

Oliveira¹,

Gravina²,

Oliveira³

et al. 2018

Aust J Crop Sci

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Snap bean is a popular and promising vegetable in Southeastern Brazil. The aim of the current study is to use the multivariate analysis as tool to select snap bean genotypes presenting desired agronomic traits. The study followed a randomized block experimental design, with 4 repetitions and 30 genotypes. The principal component and biplot analyses, as well as clustering, were conducted according to the UPGMA method in order to investigate the mean pod weight (MPW), number of seeds per pod (NSP), pod length (PL), pod width (PWi), total pods (MNP), weight of one hundred seeds (W100S), pod yield (PY) and grain yield (GY). The PL, NSP, MPW and W100S presented positive correlation with GY, besides their indication to direct genotype selection. The PWi and TP were efficient for PY selection. The multivariate analyses suggested the selection of lines UENF 7-10-1, UENF 7-12-1 and UENF 7-20-1, which presented good seed yield, as well as of UENF 14-22-3 and UENF 14-23-3, which showed aptitude to production. Lines located in Group II (UENF 14-4-3, UENF 15-6-4, UENF 7-4-1, UENF 7-9-1, UENF 7-7-1, UENF 7-5-1) did not have good performance in the measured traits and could be discarded. Line UENF 1445 "PARENT 19" proved its potential for seed yield, thus it was promising for the development of productive genotypes. Line 14-3-3 presented good aptitude for negatively correlated variables, because it associated good trait with morphology, seed yield, and pod and grain yield morphological traits.

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“…In fact, indirect selection for peel weight which requires more time and resource to record can be estimated from fruit weight, which is more straightforward to measure. This strategy would be more efficient in terms of time and resource allocation [47].…”

Section: Implications For Conservation and Utilization Of Mango Genetmentioning

confidence: 99%

Diversity of a Large Collection of Natural Populations of Mango (Mangifera indica Linn.) Revealed by Agro-Morphological and Quality Traits

et al. 2020

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Collection, characterization and utilization of genetic resources are crucial for developing varieties to meet current and future needs. Although mango is an economically important fruit tree, its genetic resources are still undocumented and are threatened in their natural habits. In this study, the variability of 452 mango accessions from three regions in China (Nujiang, Lancang river and Honghe) was assessed using 41 descriptors including qualitative and quantitative traits, with the aim to identify mango accessions with excellent agronomic and quality traits. To this end, descriptive and multivariate analyses were performed. Based on Shannon–Weaver diversity index, qualitative traits including pericarp color, fruit aroma, flesh color, and fruit flavor recorded the highest variability in the germplasm. Fruit related traits including pulp weight, peel weight, and fruit weight were the most diverse traits in the germplasm with a high coefficient of variation (CV > 40%). Significant differences (MANOVA test, p < 0.000) were observed among the three regions for most of the quantitative traits. Biologically significant and positive correlations were found among agronomically important traits such as fruit weight and pulp weight, fruit weight and edible rate. The hierarchical cluster analysis revealed tree clusters, indicating a low diversity in the germplasm. The majority of the descriptors contributed to the differentiation of the accessions. Accessions with good fruits quality (high fruit weight, pulp weight, and edible rate) were found in Cluster 2. Accessions in this cluster could be used for fruit quality improvement in mango breeding programs. Our study sheds light on the diversity of a large collection of natural mango population in China and provides relevant information for efficient conservation and harnessing of mango genetic resources.

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Selection of mango rosa genotypes in a breeding population using the multivariate-biplot method

Abstract: Mango (Mangifera indica L.) trees stand out among the main fruit trees cultivated in Brazil. The mango rosa fruit is a very popular local variety (landrace),

Cited by 10 publications

References 8 publications

Genetic Diversity Among Mango Hybrids in the Brazilian Semiarid Region1

Genetic Diversity Among Mango Hybrids in the Brazilian Semiarid Region1

Multivariate analysis used as a tool to select snap bean (Phaseolus vulgaris L.) genotypes

Diversity of a Large Collection of Natural Populations of Mango (Mangifera indica Linn.) Revealed by Agro-Morphological and Quality Traits

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