Divergência Genética Entre Cultivares De Feijão Comum Cultivados No Estado Do Tocantins

Tavares, Taynar Coelho de Oliveira; Sousa, Sérgio Alves de; Lopes, Marília Barcelos Souza; Veloso, Danilo Alves; Fidélis, Rodrigo Ribeiro

doi:10.32404/rean.v5i3.1892

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Among the most used methods to characterize the plant genetic diversity, the multivariate approaches consist in a simultaneous evaluation of a wide range of traits that can make it possible to visualize different characteristics of a data set. These techniques have generated relevant information for studies on plant genetic resources, breeding and conservation since these methods allow, simultaneously, the measurement of different traits (TAVARES et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

et al. 2022

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The knowledge of genetic diversity in plant population is essential to the success of plant breeding programs. Thus, previous characterization of landraces is one of the first steps before the indication of genotypes to these plant breeding programs. This study aimed to characterize, through morphological traits, and estimate the genetic diversity in landraces of lima bean (Phaseolus lunatus L.). Genetic diversity was estimated by using multivariate methods that selected individual landraces to be indicated for farmers and consumers. According to morphological traits proposed by Biodiversity International, the genotypes UFPI-667 and UFPI- 682 showed higher dissimilarity and high potential to be used in crosses since they are genetically distant and complementary. The principal component analysis identified positive and significant phenotypic associations between variables: pod length, pod width, and grain production. According to the multivariate methods used, the landraces UFPI-666, UFPI-650, UFPI-651, UFPI-687, UFPI-658, UFPI-673, UFPI-667, and UFPI-674 are potential candidates for selection since they have relevant features for lima bean breeding, such as shorter cycles and higher grain production. This study showed that multivariate analysis can be used as an effective tool to find potential traits in lima bean and can assist the lima bean breeders in the selection of potential landraces. Accessions UFPI-667 and UFPI-682 can be indicated as genitors for breeding programs, as they are genetically distant and complementary in their characteristics.

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Section: Introductionmentioning

confidence: 99%

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

et al. 2022

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“…Observou-se que todas as variáveis avaliadas nos 36 genótipos de milho apresentaram diferenças significativas (p≤ 0,05 e p≤ 0,01) (Tabela 2). Estes resultados demonstram que houve, no mínimo, uma cultivar diferindo das demais, sinalizando uma ampla variabilidade fenotípica observada entre híbridos e variedades que permitiram, com precisão, a caracterização de indivíduos superiores [30].…”

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Caracterização de diferentes classes genéticas de milho cultivados em região semiárida quanto ao potencial forrageiro

et al. 2021

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RESUMO O milho é bastante cultivado na região semiárida brasileira e contém alto valor energético na dieta animal. Sabendo disto, objetivou-se caracterizar diferentes classes genéticas de milho quanto ao seu potencial forrageiro nas condições semiáridas de Sergipe. Para isso, foram avaliados 36 genótipos em blocos incompletos em Látice quadrado reticulado 6x6, com duas repetições, na fazenda experimental da Embrapa – Semiárido, em Graccho Cardoso-SE. As variáveis analisadas foram: altura da planta, diâmetro do colmo, peso de planta, massa fresca, massa seca, porcentagem de massa seca e massa de forragem. Com os dados obtidos foi realizada análise de variância com auxílio do software SAS 9,4 e, para a geração dos componentes principais (CP) e gráficos, foi utilizado o software R com o pacote “GGEBiplotGUI”. Todas as variáveis apresentaram diferenças significativas entre classes genéticas. Os dois primeiros componentes principais contemplaram 83,9% da variação total. O autovalor do primeiro CP (CP1) foi de 4,11, considerado muito significativo, já que a soma de todos os autovalores foi de 6,99. A porcentagem de massa seca, diâmetro do colmo, peso de planta, massa fresca, seca e de forragem obtiveram maior capacidade de discriminar as classes genotípicas. Os híbridos intervarietais ficaram mais próximos do genótipo “ideal”. A maior correlação positiva foi entre massa de forragem e massa seca. Os híbridos simples e triplos destacaram-se individualmente na altura da planta e porcentagem de massa. A massa seca e de forragem obtiveram maiores médias em todas as classes, exceto nos híbridos simples. As variedades foram as menos estáveis nas avaliações. Os híbridos intervarietais apresentaram maior potencial forrageiro e os duplos, topcross e variedades maior variabilidade genética, as demais classes não são indicadas para agricultores de baixa e média tecnologia quando cultivados em região semiárida para forragem de milho.

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“…The success of breeding programs depends on the careful choice of the parents who will be used to perform the hybridization, and these need to be genetically divergent, but complementary in their characteristics (BORÉM;MIRANDA, 2013;TAVARES et al, 2018). The study of diversity has as consequence the estimation and increase of genetic variability, which is regarded as the raw material of plant breeding programs and essential for the evolution of species (GONÇALVES et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Genetic Dissimilarities Between Fava Bean Accessions Using Morphoagronomic Characters

Gonçalves

Medeiros

et al. 2019

Rev. Caatinga

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Fava bean (Phaseolus lunatus L.) has great potential for the supply of vegetable protein, but its cultivation is still of little relevance when compared to common bean (Phaseolus vulgaris L.), being, in most cases, intercropped with other crops. The preservation of its genetic variability in germplasm banks, as well as the study of its genetic dissimilarity, has been helping in strategic design for improvement of the crop. The objective of this work was to characterize the genetic variability of morphoagronomic characters and to quantify the genetic dissimilarity among Fava bean accessions by multivariate analysis. Eight accessions from the Active Fava Bean Germplasm Bank of the Federal University of Piauí were evaluated through a randomized complete block design, with four replications, based on the number of days to maturation (NDM), mean pod length (CV), mean pod width (LV), mean pod thickness (EV), number of seeds per pod (NSV), weight of one hundred seeds (P100S) and productivity (PROD). Among the traits evaluated, only CV showed no genetic variability among the accessions. The analysis of divergence showed accessions UFPI 799 and UFPI 817 as the most divergent in relation to the others. The grouping method of Tocher and UPGMA allowed the formation of three groups. Singh's method indicated that LV, PROD and P100S contributed the most to the genetic divergence between the evaluated accessions. The accessions UFPI 817 and UFPI 797 can be used in crossings, as they are genetically distant and complementary in their characteristics.

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Divergência Genética Entre Cultivares De Feijão Comum Cultivados No Estado Do Tocantins

Cited by 5 publications

References 8 publications

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

Caracterização de diferentes classes genéticas de milho cultivados em região semiárida quanto ao potencial forrageiro

Genetic Dissimilarities Between Fava Bean Accessions Using Morphoagronomic Characters

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