Adaptability and stability of sugarcane genotypes for fiber yield

The development of sugarcane cultivars for energy production and renewable fuels is one of the objectives of improvement programs, given the environmental impacts caused by the burning of fossil fuels. In this present work, our aim was to select sugarcane genotypes with higher fiber yield, total rec...

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Bibliographic Details
Published in:Euphytica 2023-11, Vol.219 (11), p.119, Article 119
Main Authors: de Andrade Dutra Filho, João, Porto, Andrea Chaves Fiuza, Alvino, Francisco Cássio Gomes, de Luna, Rômulo Gil, dos Santos Souza, Anielson, Souto, Lauter Silva, de Castro Silva, Marcelo Cleon, Gomes-Silva, Frank, Dantas, Jussara Silva, Souto, Jacob Silva, Neder, Diogo Gonçalves, Júnior, Tercilio Calsa
Format: Article
Language:English
Subjects:
Adaptability
Analysis
Biomedical and Life Sciences
Biotechnology
Crop yields
Cultivars
Energy minerals
Environmental impact
Fossil fuels
Genetic aspects
Genotype
Genotype-environment interactions
Genotypes
Life Sciences
Plant Genetics and Genomics
Plant Pathology
Plant Physiology
Plant Sciences
Productivity
Renewable fuels
Stability analysis
Sugarcane
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Summary:The development of sugarcane cultivars for energy production and renewable fuels is one of the objectives of improvement programs, given the environmental impacts caused by the burning of fossil fuels. In this present work, our aim was to select sugarcane genotypes with higher fiber yield, total recoverable sugar per hectare, adaptability and phenotypic and genotypic stability. The experiments were conducted in 4 environments over two agricultural years, totalizing eight environments. We evaluated eleven elite genotypes, and each trial was conducted using a randomized complete block design with four replications. To ensure greater precision in the selection and recommendation of these genotypes, we employed three methodologies for adaptability and stability analysis: additive main effects and multiplicative interaction analysis, GGE biplot and mixed linear models. Our findings revealed a strong genotype x environment interaction, which complicates the selection of genotypes with higher productivity. However, the use of different methodologies for adaptability and stability analysis provides greater confidence in the selection and recommendation of new genotypes for environments in the state of Pernambuco. We identified genotypes with specific adaptability to the tested environments. Genotypes G9, G1, G11, G6, and G3 exhibited higher genotypic values of productivity, adaptability, and stability.
ISSN:0014-2336
1573-5060
DOI:10.1007/s10681-023-03247-5