Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126223
Title: Genetic divergence of sweet sorghum genotypes based on morphoagronomic characters by multivariate techniques.
Authors: OLIVEIRA, T. C. de
BARELLI, M. A. A.
AZEVEDO, R. F.
GONÇALVES, D. de L.
SANTOS, P. R. J. dos
SILVA, V. P. da
OLIVEIRA, A. J. de
TARDIN, F. D.
PARRELLA, R. A. da C.
Affiliation: Taniele Carvalho de Oliveira, Universidade do Estado de Mato Grosso; Marco Antonio Aparecido Barelli, Universidade do Estado de Mato Grosso; Rafhael Felipin Azevedo, Universidade do Estado de Mato Grosso; Danilo de Lima Gonçalves, Universidade do Estado de Mato Grosso; Paulo Ricardo Junges dos Santos, Universidade do Estado de Mato Grosso; Valvenarg Pereira da Silva, Universidade do Estado de Mato Grosso; Altacis Junior de Oliveira, Universidade do Estado de Mato Grosso; FLAVIO DESSAUNE TARDIN, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS.
Date Issued: 2020
Citation: International Journal of Development Research, v. 10, n. 10, p. 41084-41088, 2020.
Description: The sweet sorghum apart from being used as food, feed and fiber, is also an excellent source for production of alcohol biofuel due to its high content of soluble sugars in the plant stalk sap), little has been researched about genetic diversity. The objective of this research was to evaluate the genetic divergence of sweet sorghum genotypes based on morphoagronomics characteristics. Twenty-five genotypes of sweet sorghum were evaluated in a randomized blocks design and the variables analyzed were: number of days to flowering; plant height; number of stalks per hectare; green mass production; dry mass production; number of leaves; diameter of stalks; volume of extracted juice and percentage of total soluble solids. The genetic diversity of genotypes was estimated based on the Mahalanobis distance as dissimilarity measure for the clustering structure we used the method of Tocher, UPGMA and canonical variate analysis. Groups generated demonstrated similarity in clustering genotypes, with more similar combinations remained in the same group in both clustering methods and most dissimilar combinations were isolated. The genotypes CMSXS644 and 201027018 were most are dissimilar the genetically and the characters that contribute most to the genetic diversity among the genotypes analyzed were PH and FLOWER.
Thesagro: Sorgo
Keywords: Diversidade genética
Característica morfoagronômica
DOI: https://doi.org/10.37118/ijdr.20145.10.2020
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPMS)

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