The stability
of soybean genotypes is very important in breeding programs for not only the
evaluation, selection, and productionof cultivars but also the
establishment ofparameters required for the classification of genotypes
into relative maturity groups (RMG). The aim of this study was to define stable
genotypes for traits, such as days to flowering, days to maturity, and length
of the reproductive period, and to classify them into RMG.For this
purpose,20 commercial soybean cultivars were evaluated in 12 environments
distributed in the major producing regions of Brazil. Assessments according to
the Eberhart and Russell method and the additive main effects and
multiplicative interaction (AMMI)methodwere effective in the
identification of stable genotypes and theirclassification intoRMG.These methods
canalso be usedcollectively for this purpose.Our results showed that
theAMMI methodled to a better interpretation of genotype-environment interactions.
Thus, RMGobtained on the basis of stable genotypes represented a good estimate of the
relative maturity of soybean crops throughout Brazil.
*
References
[1]
L. F. Alliprandini, J. F. F. Toledo, N. Fonseca Jr., L. A. Almeida and R. A. S. Kiihl, “Effects of GenotypeEnvironment Interaction on Soybean Yield in the Paraná State,” Pesquisa Agropecuária Brasileira, Vol. 29, No. 9, 1994, pp. 1433-1444.
[2]
L. F. Alliprandini, C. Abatti, P. F. Bertagnolli, J. E. Cavassim, H. L. Gabe, A. Kurek, M. N. Matsumoto, M. A. R. Oliveira, C. Pitol, L. C. Prado and C. Steckling, “Understanding Soybean Maturity Groups in Brazil: Environment, Cultivar Classification, and Stability,” Crop Science, Vol. 49, No. 3, 2009, pp. 801-808. http://dx.doi.org/10.2135/cropsci2008.07.0390
[3]
L. X. Zhang, S. Kyei-Boahen, J. Zhang, M. H. Zhang, T. B. Freeland, C. E. Watson Jr. and X. M. Liu, “Modifications of Optimum Adaptation Zones for Soybean Maturity Groups in the USA,” Crop Management. (Online) http://dx.doi.org/10.1094/CM-2007-0927-01-RS
[4]
H. A. Bruns, “A Survey of Factors Involved in Crop Maturity,” Agronomy Journal, Vol. 101, No. 1, 2009, pp. 60-66. http://dx.doi.org/10.2134/agronj2007.0271R
[5]
Brazil, “Ministry of Agriculture, Livestock and Supply. Cultivar Protection in Brazil,” MAPA/ACS, Brasília, 2011, p. 202.
[6]
Céleres, “Biotechnology Report,” Céleres Consulting, Uberlandia, 2012, p. 9.
[7]
G. V. Meotti, G. Benin, R. R. Silva, E. Beche and L. B. Munaro, “Sowing Dates and Agronomic Performance of Soybean Cultivars,” Pesquisa Agropecuária Brasileira, Vol. 47, No. 1, 2012, pp. 14-21. http://dx.doi.org/10.1590/S0100-204X2012000100003
[8]
S. A. Eberhart and W. A. Russell, “Stability Parameters for Comparing Varieties,” Crop Science, Vol. 6, No. 1, 1966, pp. 36-40. http://dx.doi.org/10.2135/cropsci1966.0011183X000600010011x
[9]
R. A. Kempton, “The Use of Biplots in Interpreting Variety by Environment Interactions,” Journal of Agricultural Science, Vol. 103, No. 1, 1984, pp. 123-135. http://dx.doi.org/10.1017/S0021859600043392
[10]
R. W. Zobel, M. J. Wright and H. G. Gauch, “Statistical Analysis of a Yield Trial,” Agronomy Journal, Vol. 80, No. 3, 1988, pp. 388-393. http://dx.doi.org/10.2134/agronj1988.00021962008000030002x
[11]
H. G. Gauch and R. W. Zobel, “AMMI Analysis of Yield Trials,” In: M. S. Kang and H. G. Gauch, Eds., Genotypeby-Environment Interaction, CRC Press, New York, 1996, p. 416.
[12]
M. Cucolotto, V. C. Pípolo, D. D. Garbuglio, N. S. Fonseca Jr., D. Destro and M. K. Kamikoga, “Genotype × Environment Interaction in Soybean: Evaluation through Three Methodologies,” Crop Breeding and Applied Biotechnology, Vol. 7, No. 3, 2007, pp. 270-277.
[13]
M. C. C. Maia, N. A. Vello, M. M. Rocha, J. B. Pinheiro and N. F. Silva Jr., “Adaptability and Stability of Soybean Experimental Lines Selected for Agronomic Traits and Insect Resistance by Uni-Multivariate Method,” Bragantia, Vol. 65, No. 2, 2006, pp. 215-226. http://dx.doi.org/10.1590/S0006-87052006000200004
[14]
W. C. J. Silva and J. B. Duarte, “Statistical Methods to Study Phenotypic Adaptability and Stability in Soybean,” Pesquisa Agropecuária Brasileira, Vol. 41, No. 1, 2006, pp. 23-30. http://dx.doi.org/10.1590/S0100-204X2006000100004
[15]
W. R. Fehr and C. E. Caviness, “Stages of Soybean Development,” Special Report 80, Iowa State University, Ames, 1977.
[16]
C. D. Cruz, “Genes Program: Windows Version: Application in Genetics and Statistics,” Editora UFV, Viçosa, 2001, p. 648.
[17]
SAS Institute, “SAS User’s Guide,” SAS Institute, Cary, 1999.
[18]
J. L. Purchase, H. Hatting and C. S. Van Deventer, “Genotype × Environment Interaction of Winter Wheat in South Africa: II. Stability Analysis of Yield Performance,” South African Journal of Plant Soil, Vol. 17, No. 3, 2000, pp. 101-107. http://dx.doi.org/10.1080/02571862.2000.10634878
[19]
L. F. Alliprandini, J. E.Cavassim, M. A. R. Oliveira, M. N. Matsumoto, L. C. Prado, C. Pitol, C. Steckling, P. F. Bertagnoli, A. Kurek, M. K. Kamikoga, A. Dona, N. F. Giasson, C. Abatti, G. D. Silveira and C. Takeda, “Classification of Soybean Cultivarsin to Relative Maturity Groups in Brazil, during 2001/2002-2011/2012 Seasons,” 7th Congress of Plant Breeding, SBMP, Uberlandia, 2013.
[20]
C. G. P. Carvalho, C. A. A. Arias, J. F. F. Toledo, L. A. Almeida, R. A. S. Kiihl and M. F. Oliveira, “Genotypex Environment Interaction on Soybean Production Performance in Paraná,” Pesquisa Agropecuária Brasileira, Vol. 37, No. 7, 2002, pp. 989-1000. http://dx.doi.org/10.1590/S0100-204X2002000700013
[21]
Simepar, “Condições do Tempo,” 2013. http://www.simepar.br/tempo/clima/aviso_verao2009.htm
[22]
D. Destro, V. Carpentieri-Pípolo, R. A. S. Kiihl and L. A. Almeida, “Photoperiodic and Genetic Control of the Long Juvenile Period in Soybean: A Review,” Crop Breeding and Applied Biotechnology, Vol. 1, No. 1, 2001, pp. 72-92. http://dx.doi.org/10.13082/1984-7033.v01n01a10
[23]
T. George, D. P. Bartholomew and P. W. Singleton, “Effect of Temperature and Maturity Group on Phenology of Field Grown Nodulating and Nonnodulating Soybean Isolines,” Biotronics, Vol. 19, 1990, pp. 49-59.
[24]
J. B. Duarte and R. Vencovsky, “Genotypex Environment Interaction: An Introduction to AMMI Analysis,” Série Monograph Series, Brazilian Society of Genetics, Ribeirao Preto, 1999.
[25]
A. B. Oliveira, J. B. Duarte, L. J. Chaves and M. A. Couto, “Environmental and Genotypic Factors Associated with Genotype by Environment Interactions in Soybean,” Crop Breeding and Applied Biotechnology, Vol. 6, 2006, pp. 79-86.
[26]
G. Benin, C. Pinnow, C. L. Silva, E. S. Pagliosa, E. Beche, E. Bornhofen, L. B. Munaro and R. R. Silva, “Biplot Analysis in the Evaluation of Wheat Cultivarsat Different Levels of Management,” Bragantia, Campinas, Vol. 71, No. 1, 2012, pp. 28-36.