Heterozygosity, adaptability, and phenotypic stability of sweet sorghum genotypes

Gabrielle Maria Romeiro Lombardi; Daniela Oliveira Ornelas; Nayara Norrene Lacerda Durães; Rafael Augusto da Costa Parrella; José Airton Rodrigues Nunes

doi:10.1590/1983-21252024v3711517rc

Authors

Gabrielle Maria Romeiro Lombardi Department of Biology, Institute of Natural Sciences, Universidade Federal de Lavras, Lavras, MG, Brazil https://orcid.org/0000-0002-0166-1260
Daniela Oliveira Ornelas Department of Biology, Institute of Natural Sciences, Universidade Federal de Lavras, Lavras, MG, Brazil https://orcid.org/0000-0002-5217-6994
Nayara Norrene Lacerda Durães Instituto Federal do Paraná, Ivaiporã, PR, Brazil https://orcid.org/0000-0003-3112-4543
Rafael Augusto da Costa Parrella Embrapa Milho e Sorgo, Sete Lagoas, MG, Brazil https://orcid.org/0000-0001-6599-7487
José Airton Rodrigues Nunes Department of Biology, Institute of Natural Sciences, Universidade Federal de Lavras, Lavras, MG, Brazil https://orcid.org/0000-0002-6260-7890

DOI:

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

Keywords:

Sorghum bicolor (L.). Bioethanol. Homeostasis. Ecovalence. Reliability index.

Abstract

Sweet sorghum (Sorghum bicolor L.) is a promising energy crop for bioethanol production. This study aimed to investigate the influence of genetic structure on the adaptability and phenotypic stability of sweet sorghum lines and hybrids regarding the main agro-industrial traits, as well as selecting hybrids that associate high ethanol yield and yield stability in different growing environments. A total of 45 genotypes were evaluated in experiments conducted in a 5×9 triple alpha lattice design in three locations in the state of Minas Gerais, Brazil. The following traits were measured: fresh matter production, juice extraction percentage, total soluble solids content, tons of Brix per hectare, and ethanol production. Adaptability and phenotypic stability were assessed by the Wricke and Annicchiarico methods. Sweet sorghum adaptability and phenotypic stability depend on genotype genetic structure, with hybrids being more stable than parental lines. Additionally, H_2x9 and H_3x8 were the most promising hybrids.

Downloads

Download data is not yet available.

References

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.