Sugarcane genotypes selection in three harvest times

Authors

DOI:

https://doi.org/10.33448/rsd-v9i9.7187

Keywords:

Biometric genetic; Multivariate techniques; Plant Breeding; Saccharum spp.

Abstract

The objective of this work was the selection of sugarcane genotypes, for three harvest times, using multivariate techniques. The experiments were conducted in the ​União e Indústria Sugarmill agricultural area, municipality of Primavera, Pernambuco. A randomized complete block design with four replications were used. The agro-industrial traits evaluated were: tons of pol per hectare (TPH), tons of cane per hectare (TCH), fiber (FIB), pol% corrected (PCC), purity (PZA), soluble solids content (BRIX) and sugar total recoverable amount (ATR). Four multivariate tests, an effect test between subjects and multiple comparisons were performed. The main component analysis was also carried out aiming genotypes discrimination regarding the agroindustrial performance at harvest times. Multivariate variance analysis (MANOVA) revealed that there is a significant effect of harvest times on the genotypes traits. The effect test between the subjects revealed, in turn, significant differences in the traits in the respective harvest seasons, indicating the presence of genetic variability and the possibility of selecting productive materials for the three times that correspond to three different maturation segments. The RB92579 genotype present high productivity and greater economic profitability, being able to be cultivated and harvested in any maturation segment.

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Published

26/08/2020

How to Cite

DUTRA FILHO, J. de A. .; CALSA JÚNIOR, T. .; SIMÕES NETO, D. E. .; SOUTO, L. S. .; DE LUNA, R. G. .; SOUZA, A. dos S. .; OLIVEIRA, O. H. de .; SILVA, F. A. C. . Sugarcane genotypes selection in three harvest times. Research, Society and Development, [S. l.], v. 9, n. 9, p. e461997187, 2020. DOI: 10.33448/rsd-v9i9.7187. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/7187. Acesso em: 12 nov. 2024.

Issue

Vol. 9 No. 9

Section

Agrarian and Biological Sciences

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Copyright (c) 2020 João de Andrade Dutra Filho; Tercilio Calsa Júnior; Djalma Euz´´ebio Simões Neto; Lauter Silva Souto; Rômulo Gil de Luna; Anielson dos Santos Souza; Odair Honorato de Oliveira; Fabiana Aparecida Cavalcanti Silva

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