Título:	Correlations between characters and path analysis in sweet sorghum (Sorghum bicolor (L.) Moench) genotypes for juice production.
Autoria:	OLIVEIRA, T. C. de BARELLI, M. A. A. SILVA, V. P. da FELIPIN-AZEVEDO, R. GONÇALVES, D. de L. SANTOS, P. R. J. dos POLETINE, J. P. GALBIATI, C. TARDIN, F. D.
Afiliação:	TANIELE CARVALHO DE OLIVEIRA, Universidade do Estado de Mato Grosso MARCO ANTONIO APARECIDO BARELLI, Universidade do Estado de Mato Grosso Marco Antonio Aparecido Barelli VALVENARG PEREIRA DA SILVA, 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 JULIANA PARISOTTO POLETINE, Universidade Estadual de Maringá CARLA GALBIATI, Universidade do Estado de Mato Grosso FLAVIO DESSAUNE TARDIN, CNPMS.
Ano de publicação:	2021
Referência:	Australian Journal of Crop Science, v. 15, n. 2, p. 290-296, 2021.
Conteúdo:	Sweet sorghum presents stems with juice similar to that of sugar cane, rich in fermentable sugars, that may be used in off-season for sugar and ethanol production optimizing the sugar-ethanol sector. The objective of this work was to determine genetic correlations between characters and perform path analysis between juice volume and its components. Twenty-five sweet sorghum genotypes were evaluated in randomized blocks design with three repetitions and studied variables were: number of days to flowering; plant height; number of stems; weight of green mass; weight of dry mass; number of leaves; diameter of stems; volume of extracted juice and percentage of total soluble solids. In order to verify the existence of variability among the genotypes, data were subjected to variance analysis by F-test. Subsequently, genetic parameters were determined, as soon as genetic correlation estimator?s method, performed by t-test, to determine phenotypic correlation and bootstrap method for determining environmental and genetics correlation coefficient. Before performing path analysis a multicollinearity diagnosis was also conducted. The results of genetic correlation and path analysis point weight of green mass as the main variable influencing the juice volume, allowing these characters in indirect selection for increasing juice volume.
Thesagro:	Melhoramento Genético Vegetal
Palavras-chave:	Correlação genética Setor Sucroenergético Volume do suco
Digital Object Identifier:	10.21475/ajcs.21.15.02.p3083
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPMS)