Effect of genotype x environment interaction on upland cotton yield gain
Abstract
Due to importance of the genotype x environment interaction (GE) effects during genetic breeding process, the objective of this work was to evaluate the influence of GE interaction on gain from selection in seed cotton yield among seven locals in Mato Grosso. From the data of yield of 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 we 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 on the statistics Pi. The most similar locals are SZ-PLII, PLI-PLII and SZ-NU, while the most discrepant locals are CV-NU and PP-CV. SZ is the local that most capitalizes GE interaction and selection in PLII is the one that maximizes the gains in other locals. 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 trials of lines. The forms of selection based on the overall mean and on the statistics Pi are indicated for final trials of lines.
Key words: gain from selection, selection in several environments, Gossypium hirsutum
Downloads
References
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.
Authors retain copyright and grant the Journal the right to the first publication. Authors are encouraged to and may self-archive a created version of their article in their institutional repository, or as a book chapter, as long as acknowledgement is given to the original source of publication. As the Journal provides open access to its publications, articles may not be used for commercial purposes. The contents published are the sole and exclusive responsibility of their authors; however, the publishers can make textual adjustments, adaptation to publishing standards and adjustments of spelling and grammar, to maintain the standard patterns of the language and the journal. Failure to comply with this commitment will submit the offenders to sanctions and penalties under the Brazilian legislation (Law of Copyright Protection; nº 9,610; 19 February 1998).
.jpg)
