Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1068104
Research center of Embrapa/Collection: Embrapa Milho e Sorgo - Artigo em periódico indexado (ALICE)
Date Issued: 2017
Type of Material: Artigo em periódico indexado (ALICE)
Authors: CASTRILLON, M. A. de S.
BARELLI, M. A. A.
VENDRUSCOLO, T. P. S.
SILVA, R. S. da
OLIVEIRA, F. T. de
LIMA, C. C.
ZAGO, B. W.
TARDIN, F. D.
Additional Information: Marcilene Alves de Souza Castrillon, UNEMAT; Marco Antonio Aparecido Barelli, UNEMAT; Taiana Paula Streck Vendruscolo, UNEMAT; Raiane Scandiane da Silva, UNEMAT; Fábio Tomaz de Oliveira, UNEMAT; Carla Corrêa Lima, UNEMAT; Bruno Wagner Zago, UNEMAT; FLAVIO DESSAUNE TARDIN, CNPMS.
Title: Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
Publisher: International Journal of Current Research, v. 9, n. 1, p. 45076-45081, Jan. 2017.
Language: en
Keywords: Análise multivariada
Variabilidade genética
Description: This study aimed to evaluate the genetic diversity of biomass and saccharin sorghum genotypes, based on 19 agronomic traits by the means of multicategorical variables. The experiment was conducted in the experimental area of the University of the State of Mato Grosso/UNEMAT, in Cáceres. We evaluated 25 genotypes of saccharin sorghum and 36 genotypes of biomass sorghum, in a randomized complete-block design with three replications. The data were submitted to three clustering methods, Tocher optimization, UPGMA hierarchical and Projection distances in 3D plan and comparing their results. The study showed the most divergent genotypes and the behavior of the three methods, which have proved partially concordant in the grouping of genotypes. The combined use of the clustering methods enabled a more accurate assessment for inference, and evidence the existence of genetic variability among saccharin and biomass sorghum genotypes.
Thesagro: Sorghum bicolor
Método estatístico
Data Created: 2017-04-04
Appears in Collections:Artigo em periódico indexado (CNPMS)

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