Multivariate techniques in the determination of genetic diversity in pest-resistant mini tomato genotypes

Maciel, Gabriel Mascarenhas; Peixoto, Joicy Vitória Miranda; Rocha, Jaíne Priscila R. da; Almeida, Rafaela Santos de; Oliveira, Camila Soares de; Mendonça, Thiago Fellipe Nunes de

doi:10.1590/s0102-053620180413

Cited by 4 publications

(1 citation statement)

References 24 publications

(14 reference statements)

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“…The success of the first backcross can be confirmed from the separation of the donor parent and the dwarf BC 1 F 3 populations, due to improvement in agronomic performance of the BC 1 F 3 populations. Maciel et al (2018) compared different methods of multivariate analysis for evaluation of genetic dissimilarity in tomato and found the effectiveness of this method in separation of groups.…”

Section: Resultsmentioning

confidence: 99%

Selection of BC1F3 populations of Santa Cruz type dwarf tomato plant by computational intelligence techniques

et al. 2021

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The aim of this study was to estimate genetic divergence and select BC 1 F 3 populations of dwarf tomato plant within the Santa Cruz segment by computational intelligence techniques. The experiment was conducted in a greenhouse in the Vegetable Crop Experimental Station of the Universidade Federal de Uberlândia (UFU), Monte Carmelo, MG, Brazil. A randomized block experimental design was used with 17 treatments and four replications. The genetic material evaluated comprised thirteen dwarf tomato plant populations obtained by a backcross and two self-fertilizations, plus both parents (recurrent and donor), and two commercial check varieties. The traits evaluated were mean fruit weight (MFW), soluble solids content (SSC), fruit diameter (FD), fruit length (FL), fruit shape (FS), pulp thickness (PT), number of locules (NL), distance between internodes, and acylsugar, β-carotene, and lycopene content. The data were analyzed by means testing, and genetic divergence was measured using Mahalanobis generalized distance by the unweighted pair group method with arithmetic mean (UPGMA) and through computational intelligence using Kohonen self-organizing maps (SOM). Genetic dissimilarity in relation to the donor parent could be confirmed through both methodologies. However, the SOM was able to detect differences and organize the similarities among the populations in a more consistent manner, resulting in a larger number of groups. In addition, the computational intelligence techniques allow the weight of each variable in formation of the groups to be ascertained. Among the BC 1 F 3 populations, UFU-SC#3 and UFU-SC#5 stood out for agronomic traits, and UFU-SC#10 and UFU-SC#11 stood out for quality parameters.

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Section: Resultsmentioning

confidence: 99%

Selection of BC1F3 populations of Santa Cruz type dwarf tomato plant by computational intelligence techniques

et al. 2021

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Genetic diversity based on multivariate techniques in elephant grass genotypes for bioenergy

Vidal,

Daher,

Freitas

et al. 2024

Braz. J. Biol.

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The use of biomass for energy production constitutes a promising strategy that warrants the search for new sources of biomass. Elephant grass has been gaining notoriety due to its high dry matter yield and rapid growth. The present study was carried out to quantify the genetic divergence of nine elephant grass half-sib families in order to identify genotypes with greater genetic divergence and productive potential for hybridization, using the hierarchical clustering methodology based on principal components. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was laid out in a randomized-block design with nine half-sib families, three replicates, and eight plants per plot. A total of 216 genotypes of elephant grass were evaluated. Principal component (PC), biplot, and hierarchical clustering analyses for diversity estimation were conducted using R software. The first two PCs of biplot analysis accounted for 64% of the cumulative variation. Dry matter yield was the most important trait for genotype discrimination (0.89), followed by plant height (0.67) and stem diameter (0.61) in PC1. In this analysis, the distances between accessions were considered and there were no family links, which indicates the existence of wide variability within the evaluated families, since genotypes belonging to the same family were not grouped together, but rather distributed into different groups. Crosses between genotypes of group three and genotypes of groups one and two are recommended for the development of high-yielding genotypes when aiming at energy production.

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Productivity, acylsugar concentrations and resistance to the two-spotted spider mite in genotypes of salad tomatoes

Peixoto

Ribeiro

Maciel

et al. 2020

Rev. bras. eng. agríc. ambient.

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The objective of this study was to characterize genotypes of the salad-type tomato with a determinate growth habit and select genotypes resistant to the two-spotted spider mite for higher productivity and fruit quality. The experiment was conducted at the Horticultural Experimental Station (18°42’43.19” S and 47°29’55.8” W, 873 m altitude) of the Universidade Federal de Uberlândia (UFU), Monte Carmelo campus, from January to June 2018. The experimental design was in randomized blocks containing 16 treatments [12 populations of the F3RC2 generation and four controls: two commercial cultivars (Santa Clara and Rio Grande), the recurrent parent (UFU-057) and the wild species Solanum pennellii (LA-716)] with three repetitions. The accessions UFU-057F3RC210#3.6.1 and UFU-057F3RC213#2.1.2 have high potential for genetic improvement regarding resistance to the two-spotted spider mite. The genotypes UFU-13#4.4.1, UFU-7#4.7.1, UFU-7#4.3.2, UFU-13#2.5.2 and UFU-13#2.1.3 present higher acylsugar concentrations than S. pennellii, in addition to higher productivity and number of fruits per plant. It is suggested to explore combinations between those genotypes previously described with UFU-8#2.4.1 to obtain hybrids with high acylsugar concentrations, two-spotted spider mite resistance, high productivity and increased fruit mass.

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Multivariate techniques in the determination of genetic diversity in pest-resistant mini tomato genotypes

Cited by 4 publications

References 24 publications

Selection of BC1F3 populations of Santa Cruz type dwarf tomato plant by computational intelligence techniques

Selection of BC1F3 populations of Santa Cruz type dwarf tomato plant by computational intelligence techniques

Genetic diversity based on multivariate techniques in elephant grass genotypes for bioenergy

Productivity, acylsugar concentrations and resistance to the two-spotted spider mite in genotypes of salad tomatoes

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