Adaptability and phenotypic stability of sugarcane clones in the state of Mato Grosso do Sul using multi-information methodology

Authors

DOI:

https://doi.org/10.5965/223811712342024588

Keywords:

melhoramento de espécies semiperenes, Saccharum officinarum, genotype x environment interaction

Abstract

The adaptability and stability of different genotypes are importants to help recommend cultivars. To achieve this, several methods have been proposed and the use of these methodologies simultaneously seems to allow the extraction of more consistent information than the use of each methodology separately. Therefore, the present work aims to study the adaptability and stability of sugarcane genotypes in terms of tons of sugarcane per hectare (TCH) in four environments in Mato Grosso do Sul and identify the superior genotypes through criteria multi-information. The TCH data were collected in the 2018/2019 harvest, in third-cut crops, from the experimentation phase of the Sugarcane Improvement Program of the Interuniversity Network for the Development of the Sugarcane Sector. The design used was a block design with three replications in which six early maturing clones (G1, G2, G3, G4, G5 and G6) and two commercial varieties (G7 - RB855156 and G8 - RB966928) were evaluated in four environments (1 - Ivinhema, 2- Rio Brilhante, 3- Nova Andradina Fazenda “N.O.” and 4- Nova Andradina Fazenda “E”. The joint analysis of variance was obtained from the data. The adaptability and stability of the genotypes was evaluated using multi-information, which included 10 parameters, being: the general average, average potential in different environmental conditions, plasticity, measure of the relative contribution to the interaction, Annicchiarico recommendation index, percentage adaptability, stability percentage, J pattern of genotype response, champion pattern and centroid recommendation index. Genotypes G3, G4, G6, G7 and G8 showed high stability and specific adaptation to high yield environments, such as environments 1 and 3. Genotype G6 surpasses commercial genotypes in yield. Genotypes G1, G2 and G5 present high stability, specific adaptation to low yield environments such as 2 and 4.

Downloads

Download data is not yet available.

References

ALMEIDA ACS et al. 2008. Vegetative development and production of sugarcane varieties as a function of water availability and thermic units. Ciência e Agrotecnologia 32: 1441-1448.

ANTUNES WR et al. 2016. Adaptabilidade e estabilidade fenotípica de clones de cana-de-açúcar. Pesquisa Agropecuária Brasileira 51: 142-148.

ANNICCHIARICO P. 1992. Cultivar adaptation and recommendation from alfafa trials in Northern Italy. Journal of Genetics and Breeding 46: 269-278

BERRES VA. 2018. Comparação entre métodos de adaptabilidade e estabilidade de genótipos de feijão-comum para cultivo na mesorregião do sudoeste sul-mato grossense. Dissertação (Mestrado em Produção Vegetal). Dourados: UFGD. 67f.

BERTOLANI FC et al. 2015. Sistema de classificação edafoclimática para a cultura da cana-de-açúcar. Brasília: Embrapa.

CARDOSO DBO et al. 2021. Using fuzzy logic to select coloured-fibre cotton genotypes based on adaptability and yield stability. Acta Scientiarum. Agronomy 43: e50530.

CARNEIRO VQ et al. 2023. A novel fuzzy approach to identify the phenotypic adaptability of common bean lines. Acta Scientiarum. Agronomy 45: e59854.

CONAB. 2023. Companhia Nacional de Abastecimento. Acompanhamento da Safra Brasileira. Cana-de-açúcar: Safra 2023/2024. 2º levantamento, Agosto de 2023. Available at: https://www.conab.gov.br/info-agro/safras/cana Accessed on: 19 de Aug 2023.

CRUZ CD. 2016. Genes Software - extended and integrated with the R, Matlab and Selegen. Acta Sientiarum Agronomy 38: 547-552.

CRUZ CD et al. 2014. Modelos biométricos aplicados ao melhoramento genético – vol 2. 3.ed. Viçosa: UFV.

CRUZ CD et al. 1989. An alternative approach to the stability analysis proposed by Silva and Barreto. Revista Brasileira de Genética 12: 567- 580.

DOORENBOS J & KASSAM AH. 1979. Yield response to water. Rome: FAO. 193 p.

EBERHART AS & RUSSELL WA. 1966. Stability parameters for comparing varieties. Crop Science 6: 36-40.

FERNANDES JÚNIOR AR. 2013. Adaptabilidade e estabilidade de clones de cana-de-açúcar. Bragantia 72: 208-216.

FIETZ CR & FISCH GF. 2008. O Clima da Região de Dourados, MS. 2.ed. Dourados: Embrapa Oeste.

GOMES F & GARCIA CA. 2002. Estatística aplicada a experimentos agronômicos e florestais: exposição com exemplos e orientações para uso de aplicativos. Piracicaba: FEALQ.

GUIMARÃES AG et al. 2018. Genetic gains and selection advances of the UENF-14 popcorn population. Revista Caatinga 31: 271-278.

INMET. 2022. Instituto Nacional de Meteorologia do Brasil. Dados meteorológicos. Available at: https://portal.inmet.gov.br/. Accessed on: 20 Sep 2022.

LIN CS & BINNS MR. 1988. A superiority measure of cultivar performance for cultivar x location data. Canadian Journal of Plant Science 68: 193-198.

MADALENO LL et al. 2008. Influence of Mahanarva fimbriolata (Stål) (Hemiptera: Cercopidae) injury on the quality of cane juice. Neotropical Entomology 37: 68-73.

MELO CG et al. 2018. Anatomical, morphological, and physiological responses of two sugarcane genotypes of contrasting susceptibility to Mahanarva fimbriolata (Hemiptera: Cercopidae). Bulletin of Entomological Research 108: 556-564.

MONTES RF. 2018. Espacialização da adaptabilidade produtiva para recomendação varietal de cana-de-açúcar. Dissertação (Mestrado em Genética e Melhoramento). Goiânica: UFG. 83p.

MONTES RF et al. 2021. Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil. Pesquisa Agropecuária Brasileira 56: e02398.

NASCIMENTO M et al. 2010. Adaptabilidade e estabilidade via regressão não paramétrica em genótipos de café. Pesquisa Agropecuária Brasileira 45: 41-48.

OTOBONI MEF et al. 2022. Genotype × environment interaction for the agronomic performance of high β-carotene sweetpotato. Acta Scientiarum. Agronomy 44: e55766.

PFAHLER PL & LINSKENS HF. 1979. Yield stability and population diversity in oats (Avena sp.). Theoretical and Applied Genetics 54: 1-5.

PONTES DS. 2020. Desempenho de genótipos de alfafa considerando modelos com diferentes estruturas da matriz de covariâncias e na análise multi-informação. Tese (Doutorado em Estatística Aplicada e Biometria). Viçosa: UFV. 74p.

REGIS JAVB et al. 2018. Adaptability and phenotypic stability of sugarcane clones. Pesquisa Agropecuária Brasileira 53: 42-52.

REZENDE WS et al. 2020. Half a century of studying adaptability and stability in maize and soybean in Brazil. Scientia Agricola 78: e20190197.

SCOTT AJ & KNOTT M. 1974. A cluster analysis method for grouping means in the analysis of variance. Biometrics 30: 507–512.

VALVERDE AHP et al. 2018. A new methodology for large-scale screening sugarcane resistance to Mahanarva fimbriolata (Hemiptera: Cercopidae). Bragantia 77: 1-10.

WRICKE G. 1965. Zur Berechnung der Ökovalenz bei Sommerweizen und Hafer. Pflanzenzuchtung 52: 127-138.

ZAMBON JLC & DAROS E. 2005. Manual de experimentação para a condução de experimentos. Curitiba: UFPR.

Downloads

Published

2024-12-18

How to Cite

NASCIMENTO JÚNIOR, Clodomiro Nicácio do; DALAROSA, Leandro Escobar; SANTOS, Jéssica Maria dos; SILVA, Moacir Marreiro da; DAVIDE, Lívia Maria Chamma; CIVIEIRO, João Carlos; HOFFMANN, Hermann Paulo; GUIMARÃES, Amanda Gonçalves. Adaptability and phenotypic stability of sugarcane clones in the state of Mato Grosso do Sul using multi-information methodology. Revista de Ciências Agroveterinárias, Lages, v. 23, n. 4, p. 588–596, 2024. DOI: 10.5965/223811712342024588. Disponível em: https://periodicos.udesc.br/index.php/agroveterinaria/article/view/25047. Acesso em: 21 dec. 2024.

Issue

Section

Research Article - Science of Plants and Derived Products

Most read articles by the same author(s)