Please use this identifier to cite or link to this item:
|Title:||Correlations between characters and path analysis in sweet sorghum (Sorghum bicolor (L.) Moench) genotypes for juice production.|
|Authors:||OLIVEIRA, T. C. de|
BARELLI, M. A. A.
SILVA, V. P. da
GONÇALVES, D. de L.
SANTOS, P. R. J. dos
POLETINE, J. P.
TARDIN, F. D.
|Affiliation:||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.
|Citation:||Australian Journal of Crop Science, v. 15, n. 2, p. 290-296, 2021.|
|Description:||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|
Volume do suco
|Type of Material:||Artigo de periódico|
|Appears in Collections:||Artigo em periódico indexado (CNPMS)|