Heterozigosidade, adaptabilidade e estabilidade fenotípica de genótipos de sorgo sacarino

Autores

DOI:

https://doi.org/10.1590/1983-21252024v3711517rc

Palavras-chave:

Sorghum bicolor (L.). Bioetanol. Homeostase. Ecovalência. Índice de confiabilidade.

Resumo

O sorgo sacarino (Sorghum bicolor (L.)) é uma cultura energética promissora para a produção de bioetanol. O objetivo deste trabalho foi verificar a influência da estrutura genética na adaptabilidade e estabilidade fenotípica de linhagens e híbridos de sorgo sacarino quanto aos principais caracteres agroindustriais, bem como selecionar híbridos que associem elevado rendimento de etanol e estabilidade produtiva nos ambientes de cultivo testados. Foram avaliados 45 genótipos em experimentos conduzidos no delineamento alfa-látice triplo 5 x 9 em três localidades do Estado de Minas Gerais, Brasil. Foram mensurados os caracteres produção de massa verde, porcentagem de extração de caldo, teor de sólidos solúveis totais, toneladas de brix por hectare e produção de etanol. A adaptabilidade e a estabilidade fenotípica foram aferidas pelos métodos de Wricke e Annicchiarico. Observou-se que a adaptabilidade e estabilidade fenotípica em sorgo sacarino depende da estrutura genética dos genótipos, no qual os híbridos foram mais estáveis do que as linhagens parentais. Além disso, os híbridos H2x9 e H3x8 foram os mais promissores.

Downloads

Não há dados estatísticos.

Referências

ALVARES, C. A. et al. Köppen´s climate classification map for Brazil. Meteorlogische Zeitschrift, 22: 711-728, 2013.

AKBAR, D. et al. Reviewing commercial prospects of bioethanol as a renewable source of future energy – an Australian perspective. Advances in Eco-Fuels for a Sustainable Environment, 16: 441-458, 2019.

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

APPIAH-NKANSAH, N. B. et al. A review of sweet sorghum as a viable renewable bioenergy crop and its techno-economic analysis. Renewable Energy, 143: 1121-1132, 2019.

BATES, D. et al. Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67: 1-48, 2015.

BECKER, H. C.; LÉON, J. Stability analysis in plant breeding. Plant Breeding, 101: 1-23, 1988.

BERNAL, J. H.; LIGARRETO, G. A.; HERNÁNDEZ, R. S. Effects of the genotype and environment interaction on sugar accumulation in sweet sorghum varieties (Sorghum bicolor [L.] Moench) grown in the lowland tropics of Colombia. Agronomia Colombiana, 32: 307-314, 2014.

BUNPHAN, D. et al. Heterosis and combining ability of F1 hybrid sweet sorghum in Thailand. Crop Science, 55: 178-187, 2015.

CHAPARA, R. et al. Heterosis, combining ability and stability analysis for bioenergy trait in sweet sorghum [Sorghum bicolor (L.) Moench]. International Journal of Chemical Studies, 8: 786-799, 2020.

CRUZ, C. D. GENES: a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum. Agronomy, 35: 271-276, 2013.

CRUZ, C. D.; REGAZZI, A. J.; CARNEIRO, P. C. S. Modelos biométricos aplicados ao melhoramento genético. 3. ed. Viçosa, MG: UFV, v. 2, 2014, 668 p.

EGGLESTON, G. et al. Quality Attributes of Sweet Sorghum for the Large-Scale Production of Bioproducts: A 1-Year Comparison of Commercial Hybrids and a Cultivar. Sugar Tech, 20: 347-355, 2018.

EUCULICA, G. C. et al. Adaptability and stability of saccharine sorghum cultivars. African Journal of Agricultural Research, 14: 1432–1442, 2019.

FAGUNDES, T. G. et al. Characterization of Sweet Sorghum Genotypes Based on Agro-industrial Performance and Fermentation Potential. Sugar Tech, 57: 1-14, 2021.

FERREIRA, E. B.; CAVALCANTI, P. P.; NOGUEIRA, D. A. ExpDes: An R Package for ANOVA and Experimental Designs. Applied Mathematics, 5: 2952-2958, 2014.

FIGUEIREDO, U. J. et al. Adaptability and stability of genotypes of sweet sorghum by GGEBiplot and Toler methods. Genetics and Molecular Research, 14: 11311-11331, 2015.

HAUSSMANN, B. I. G. et al. Yield and yield stability of four population types of grain sorghum in a semi-arid area of Kenya. Crop Science, 40: 319-329, 2000.

KUMAR, S. I. et al. Heterosis and Inbreeding Depression in Tropical Sweet Sorghum (Sorghum bicolor (L.) Moench). Crop Research, 51: 1-4, 2016.

LEITE P. S. S. et al. Intrapopulation recurrent selection in sweet sorghum for improving sugar yield. Industrial Crops and Products, 12: 143-156, 2020.

LEITE, P. S. S. et al. Association among agro-industrial traits and simultaneous selection in sweet sorghum. Genetics and Molecular Research, 16: 1-10, 2017.

LIN, C. S.; BINNS, M. R.; LEFKOVITCH, L. P. Stability analysis: where do we stand? Crop Science, 26: 894-900, 1986.

LOMBARDI, G. M. R. et al. Heterosis in sweet sorghum. Pesquisa Agropecuária Brasileira, 53: 593-601, 2018.

R CORE TEAM. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. 2019.

REGASSA, T. H.; WORTMANN, C. S. Sweet sorghum as a bioenergy crop: literature review. Biomass Bioenergy, 64: 348-355, 2014.

ROCHA, M. J. et al. General and specific combining ability in sweet sorghum. Crop Breeding and Applied Biotechnology, 18: 365-372, 2018.

RONO, J. K. et al. Adaptability and Stability Study of Selected Sweet Sorghum Genotypes for Ethanol Production under Different Environments Using AMMI Analysis and GGE Biplots. The Scientific World Journal, 16: 1-14, 2016.

SOUZA, V. F. et al. Adaptability and stability of sweet sorghum cultivars. Crop Breeding and Applied Biotechnology, 13: 144-151, 2013.

SOUZA, R. S. et al. Maturation curves of sweet sorghum genotypes. Ciência e Agrotecnologia, 40: 46-56, 2016.

ULICINI, V. Methods of establishing the environmental stability of maize genotypes. Probleme de Genetica Theorica si Applicata, 5: 106-142, 1973.

UMAKANTH, A. V. et al. Genetic diversity studies in sweet sorghum [Sorghum Bicolor (L) Moench], a candidate crop for biofuel production. Forage Research, 45: 28-32, 2019.

WRICKE, G.; WEBER, W. E. Quantitative Genetics and Selection in Plant Breeding. Berlin: Walter de Gruyter, 1986, 406 p.

WICKHAM, H. ggplot2: elegant graphics for data analysis. Journal of Statistical Software, 77: 1-3, 2016.

Downloads

Publicado

25-01-2024

Edição

Seção

Artigo Científico