Genetic dissimilarity and definition of recombination clusters among green corn half-sib progenies

Abstract

AbstrAct:The present study aimed to estimate the genetic divergence among corn half-sib progenies seeking to direct recombination between contrasting and superior progenies for green corn production. Ninety-six progenies were evaluated in a randomized block design with 3 replications, and 18 characteristics associated with agronomic adaptation and green corn yield were measured. The genetic divergence was estimated using The grouping allowed to identify superior and contrasting progenies for green corn production. The recombination of these progenies allows increasing genetic variability and the frequency of alleles favorable to the green corn production.

Research Article Analysis of genetic divergence in sweet corn genotypes through hierarchical optimization methods

“…When evaluating green corn genotypes, Silva et al (2016) verified that the UPGMA method was more sensitive to detect differences between genotypes and consequently to form groups. In contrast, Rigon et al (2015) evaluated only two distinct clustering techniques, suggesting that both (Tocher and Single Linkage) were useful in the study of genetic divergence in corn.…”

“…One of the barriers encountered by breeders has been the relatively low genetic variability of sweet corn, coupled with a lack of appropriate methodologies to evaluate the existing genetic diversity. Genetic variability determines the feasibility of a breeding program, being potentiated by cross-linking between contrasting genotypes (Silva et al, 2011;Ertiro et al, 2013;Silva and Dias, 2013;Fernandes et al, 2015;Silva et al, 2016).…”

Diversidade Genética Em Famílias De Meios-Irmãos De Pinhão Manso

“…Os resultados dos agrupamentos obtidos pelas duas metodologias podem ser utilizados no melhoramento da espécie de forma a auxiliar no direcionamento do processo de recombinação dos meios-irmãos e indicar os acessos mais divergentes, possibilitando a obtenção de famílias com maior frequência de alelos favoráveis (SILVA et al, 2016).…”

MULTIVARIATE AND CANONICAL MODELS APPLIED TO CORN: BENEFITS OF GREEN MANURE WITH Vigna unguiculate

“…Mineiros, GO, UNIFIMES, Brasil, 2020 Both fertilization systems had the formation of two clusters, with an isolated cluster represented by the hybrid Syn7613 in the CFS and CD3770 in the GMS (Figure 4). Silva et al (2016) estimating the genetic divergence between half-siblings progenies using hierarchical methods observed the formation of 11 clusters, as well as Alves et al (2015), which accounted for the formation of 4 clusters. Nardino et al (2017) testing the genetic dissimilarity between 25 corn hybrids, in five growing environments in southern Brazil, observed the formation of 9 distinct clusters.…”

“…Nardino et al (2017) testing the genetic dissimilarity between 25 corn hybrids, in five growing environments in southern Brazil, observed the formation of 9 distinct clusters. The results of the cluster analysis using the UPGMA methods can serve as a basis for future work involving the study of genetic diversity for corn crop (Silva et al, 2016). The analysis of canonical variables for the CFS explains in the first axis 56.79% and in the second 22.40% accounting for the explanation of 79.20 of the total variation of the data.…”