Influence of genotype versus environment interaction on improving upland cotton yield

  • Josiane Isabela da Silva Rodrigues Embrapa Algodão
  • Luiz Paulo de Carvalho Embrapa Algodão
  • Franscisco José Correia Farias Embrapa Algodão

Resumo

 Considering the importance of the genotype versus environment interaction (GE) effects during the genetic breeding process, this work aimed to (1) evaluate the influence of GE interaction on gain from selection in seed cotton yield among seven sites in Mato Grosso; and (2) indicate sites of the experimental network for selection in initial and final phases of the breeding programs. We used productivity data from 16 genotypes evaluated in Primavera do Leste/PL (PLI and PLII), Pedra Preta/PP, Campo Verde/CV, Sapezal/SZ, Campo Novo dos Parecis/CNP, and Nova Ubiratã/NU and conducted analyses of variance, decomposition of the mean square of GE interaction (MSGEjj’), correlation between locals and gain prediction by direct and indirect selection and based on the overall mean and statistics Pi. The most similar sites are SZ-PLII, PLI-PLII and SZ-NU, while the most discrepant sites are CV-NU and PP-CV. SZ is the site with most GE interaction, and selection in PLII is the one that maximizes the gains in other sites. PLII is the most indicated local for selection in initial phases of breeding and the combination of PP, CNP and PLII is indicated for preliminary lineage trials. The forms of selection based on the overall mean and statistics Pi are indicated for final lineage trials

Downloads

Não há dados estatísticos.

Biografia do Autor

Josiane Isabela da Silva Rodrigues, Embrapa Algodão
Genetics and plant breeding
Luiz Paulo de Carvalho, Embrapa Algodão
Genetics and plant breeding
Franscisco José Correia Farias, Embrapa Algodão
Genetics and plant breeding

Referências

CARVALHO, L. P.; COSTA, J. N.; SANTOS, J. W. Avaliação de linhagens de algodoeiro herbáceo e reflexos da interação genótipo x ambiente nos ganhos de seleção. Ceres, v. 42, p. 280-289, 1995.

CONAB. Acompanhamento da Safra Brasileira/Grãos. Vol. 3. Safra 2015/2016, N6. Sexto levantamento, 2016a. Avalible at: < http://www.conab.gov.br/OlalaCMS/uploads/arquivos/16_03_10_09_17_17_boletim_graos_marco_2016.pdf>. Accessed in: 20 july 2016.

CONAB. Perspectivas para a Agropecuária/Produtos de Verão. Vol. 3. Safra 2015/2016, 2016b. Avalible at: < http://www.conab.gov.br/OlalaCMS/uploads/arquivos/15_09_24_11_44_50_perspectivas_agropecuaria_2015-16_-_produtos_verao.pdf>. Accessed in: 20 july 2016.

CRUZ, C. D.; CASTOLDI, F. L. Decomposição da interação genótipos x ambientes em partes simples e complexa. Ceres, v. 38, p. 422-430, 1991.

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

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

CRUZ, C. D.; CARNEIRO, P. C. S.; REGAZZI, A. J. Modelos biométricos aplicados ao melhoramento genético. Viçosa: Editora UFV, 2012. 514 p.

HOOGERHEID, E.; FARIAS, F. J. C.; VENCOVSKY, R.; FREIRE, E. C. Estabilidade fenotípica de genótipos de algodoeiro no Estado do Mato Grosso. Pesquisa Agropecuária Brasileira, v. 42, p. 695-698, 2007.

LI, J.; XU, N. Cultivar selection and test site evaluation of cotton regional trials in Jiangsu province based on GGE biplot. Agricultural Science and Technology, v. 15, p. 1277-1280, 2014.

LIN, C. S.; BINNS, M. R. A superiority measure of cultivar performance for cultivar x location data. Canadian Journal of Plant Science, v. 68, p. 193-198, 1988.

PASSOS, A. R.; SILVA, A. S.; PEIXOTO, C. P.; ROCHA, M. A. C.; CRUZ, E. M. O. Ganho por seleção direta e indireta em caupi considerando a interação G x E. Revista da FZVA, v. 18, p. 18-33, 2011.

PRETORIUS, M. M.; ALLEMANN, J.; SMITH, M. F. Use of the AMMI model to analyse cultivar-environment interaction in cotton under irrigation in South Africa. African Journal of Agriculture, v. 2, p. 76-80, 2015.

ROBERTSON, A. The sampling variance of genetic correlation coefficient. Biomethic, v. 15, p. 469-485, 1959.

SILVA FILHO, J. L.; MORELLO, C. L.; FARIAS, F. J. C.; LAMAS, F. M.; PEDROSA, M. B.; RIBEIRO, J. L. Comparação de métodos para avaliar a adaptabilidade e estabilidade produtiva em algodoeiro. Pesquisa Agropecuária Brasileira, v. 43, p. 349-355, 2008.

XU, N. Y.; FOK, M.; ZHANG, G. W.; JIAN, L. I.; ZHOU, Z. G. The application of GGE biplot analysis for evaluating test locations and mega-environment investigation of cotton regional trials. Journal of Integrative Agriculture, v. 13, p. 1921-1933, 2014.

ZENG, L.; MEREDITH, J. W. R.; CAMPBELL, B. T.; DEVER, J. K.; ZHANG, J.; GLASS, K. M.; JONES, A. S.; MYERS, G. O.; BOURLAND, F. M. Genotype-by-environment interaction effects on lint yield of cotton cultivars across major regions in the US cotton belt. Journal of Cotton Science, v. 18, p. 75-84, 2014.

Publicado
2018-02-20
Seção
Artigos Científicos