Adaptability and stability of low-cost corn seed cultivars in the Brazilian Central Region

Authors

DOI:

https://doi.org/10.33448/rsd-v15i5.51034

Keywords:

Maize, MHPRVG, OPVs , Productivity.

Abstract

The objective of this study was to identify low-cost maize seed varieties and hybrids with high production potential, with broad adaptability and high stability for the central region of Brazil. The adaptability and stability of 168 maize genotypes (122 Open Pollinated Maize Varieties “OPVs”, 19 Inter-varietal Hybrids “IHs”, 13 Top-crosses Hybrids “TCHs”, 6 Double-cross Hybrids “DHs”, 4 single-cross hybrids “SHs” and 4 three-way-cross hybrids “THs”) were evaluated in a series of trials for the value of cultivation and use (VCU), between 15 consecutive years (2002/3 to 2016/17 growing seasons), in the localities of Sete Lagoas - MG, Londrina - PR and Planaltina-DF. The experimental design was a randomized block design, with two replicates. The estimates of the genetic parameters were obtained using the Reml / Blup procedure, using the model that considers the three main effects (genotypes, sites and years), as well as their interactions, providing a simultaneous measure of productivity, stability and adaptability (MHPRVG) for each evaluated cultivar. Twelve OPVs with high grain yield, adaptability and stability were selected. In spite of the identification of these varieties, it was verified that low-cost hybrid seeds are an excellent alternative for the family farming, since they have potential production compatible with commercial hybrids, making it worth highlighting three IH and two TCH.

References

Annicchiarico P. (1992). Cultivar adaptation and recommendation from alfalfa trials in northern Italy. Journal of Genetics and Plant Breeding. 46, 269-78.

Cruz, C. D., Regazzi, A. J. & Carneiro, P. C. S. (2004). Modelos biométricos aplicados ao melhoramento genético. 3 ed. Viçosa, MG: UFV.

Duarte, J. O. (2016). Embrapa Milho e Sorgo: Sistema de Produção. http://www.cnpms.embrapa.br/publicacoes/milho/importancia.htm.

Gauch, H. G., Piepho, H. P. & Annicchiarico, P. (2008). Statistical analysis of yield trials by AMMI and GGE: further considerations. Crop Science. 48(3), 866-89.

Gauch, H. G., Piepho, H. P. & Annicchiarico, P. (2008). Statistical analysis of yield trials by AMMI and GGE: further considerations. Crop Science, Madison. 48(3), 866-89.

Guimarães, L.J.M., et al. (2017). Adaptabilidade de cultivares de milho de baixo custode sementes a ambientes com estresse – safra 2015/16. In: Congresso Brasileiro de Melhoramento de Plantas, 9., Anais. Foz do Iguaçú: SBMP.

IBGE - Censo Agropecuário 2006-Agricultura Familiar. Rio de Janeiro, p.1-267, 2006.

INMET. (2017). Normais Climatológicas 2002 a 2017. INMET. Brasília.

Lin, C. S. & Binns, M. R. (1988). A superiority measure of cultivar performance for cultivar x location data. Canadian Journal of Plant Science. 68, 193-8.

Mariz, B. L. et al. (2016). Desempenho de cultivares de milho de baixo custo de sementes na safrinha 2016. In: XIV Seminário Nacional de Milho Safrinha: Construindo Sistemas de Produção Sustenáveis e Rentáveis, 21 a 23 de Novembro de 2017. Cuiabá - MT. 2017

Melchinger, A. E. & Gumber, R. K. (1998). Overvew of heterosis and heterotic groups in agronomic crops. In: K.R. Lamkey, J.E. Staub (Eds.). Concepts and Breeding of Heterosis in Crop Plants. CSSA, Madison, WI. 29-44.

Mendes, F. F. et al. (2012). Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology 12, 111-7.

Mendes, F. F. et al. (2012). Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology 12. 111-7.

Pereira, A. S. et al. (2018). Metodologia da pesquisa científica. [free ebook]. Santa Maria: Editora da UFSM.

Peske, S. T., Rosenthal, M. D. & Rota, G. R. M. (2012). Sementes: Fundamentos científicos e tecnológicos. (3ed). Editora Rua Pelotas.

Resende M. D. V. (2007a). Software Selegen – REML/BLUP: Sistema estatístico e seleção genética computadorizada via modelos lineares mistos. Embrapa Florestas, Colombo.

Resende, M. D. V. (2004). Métodos estatísticos ótimos na análise de experimentos de campo. Colombo: Embrapa Florestas.

Risemberg, R. I. C., Wakin, M., & Shitsuka, R. (2026). A importância da metodologia científica no desenvolvimento de artigos científicos. E-Acadêmica, 7(1), e0171675. https://eacademica.org/eacademica/article/view/675.

Rocha, R. B. et al. (2012). Selection efficiency for increasing physic nut oil content. Pesquisa Agropecuaria Brasileira. 47(1), 44-50.

Romano, M. R., Verburg, N. & De Andrade, J. M. (2007). Desempenho de cinco variedades de milho crioulo em diferentes sistemas de produção. Revista Brasileira de Agroecologia, p. 808-11.

Spinelli, V. M. (2010). Primary and secondary yield components of the oil in physic nut (Jatropha curcas L.). Ciencia Rural. 40(8), 1752-8.

Uate, J. V. et al. (2019). Genetic progress, adaptability and stability of maize cultivars for value of cultivation and use trials. Acta Scientiarum. Agronomy, v. 41, e42624, 2019.

Verardi, C. K. et al. (2009). Adaptabilidade e estabilidade da produção de borracha e seleção em progênies de seringueira. Pesquisa Agropecuária Brasileira. 44, 1277.

Yan, W. et al. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science. 47(2), 643-55.

Downloads

Published

2026-05-30

Issue

Section

Agrarian and Biological Sciences

How to Cite

Adaptability and stability of low-cost corn seed cultivars in the Brazilian Central Region. Research, Society and Development, [S. l.], v. 15, n. 5, p. e11915551034, 2026. DOI: 10.33448/rsd-v15i5.51034. Disponível em: https://rsdjournal.org/rsd/article/view/51034. Acesso em: 7 jun. 2026.