Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1137116
Title: Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil.
Authors: MONTES, R. F.
BRESEGHELLO, F.
DUARTE, J. B.
Affiliation: RAFAEL FERREIRA MONTES, UFG; FLAVIO BRESEGHELLO, CNPAF; JOÃO BATISTA DUARTE, UFG.
Date Issued: 2021
Citation: Pesquisa Agropecuária Brasileira, v. 56, e02398, 2021.
Description: The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through the integrated use of factorial regression models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar.
Thesagro: Cana de Açúcar
Genótipo
Comportamento de Variedade
NAL Thesaurus: Saccharum
Sugarcane
Yields
Environmental factors
Genotype-environment interaction
Keywords: Adaptabilidade produtiva
Covariáveis ambientais
Ensaios multiambientes
ISSN: 1678-3921
DOI: https://doi.org/10.1590/ S1678-3921.pab2021.v56.02398
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPAF)

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