Comparing biplot multivariate analyses with Eberhart and Russell' method for genotype × environment interaction;Comparação das análises multivariadas biplot com o método de eberhart e russell na interação genótipo × ambiente

Crop Breeding and Applied Biotechnology

Volumn 9, Issue 4, 2009, Pages 299-307

  Namorato, Heraldo ^a   Miranda, Glauco Vieira ^a   de Souza, Leandro Vagno ^b   Oliveira, Lucimar Rodrigues ^a   DeLima, Rodrigo Oliveira ^a   Mantovani, Eder Eduardo ^a  

^a FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^b Dow Agrosciences Industria Ltda   (Brazil)

Author keywords

Breeding; Genotype environment interaction; GGE; Zea mays

Indexed keywords

ZEA MAYS;

EID: 72549096284     PISSN: 15187853     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Cornelius PL, Crossa J and Seyedsader MS (1996) Statistical tests and estimators of multiplicative models for genotype-by-environment interaction. In: Kang MS and Gauch HG (Eds.) Genotype-by-environment interaction. CRC Press, Boca Raton, p. 199-234.
2. Crossa J and Cornelius PL (1997) Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Science 37: 405-415.
3. Cruz CD (2006) Programa Genes: Biometria. Editora UFV, Viçosa, 382p.
4. Deitos A, Arnhold E, Miranda GV (2006) Yield and combining ability of maize cultiars under different ecogeographic conditions. Crop Breeding and Applied Biotechnology 6: 222-227.
5. Duarte JB and Vencovsky R (1999) Interação genótipos × ambientes. Uma introdução à análise AMMI. Sociedade Brasileira de Genética, Ribeirão Preto, 60p. (Série Monografias 9).
6. Eberhart SA and Russell WA (1966) Stability parameters for comparing varieties. Crop Science 6: 36-40.
7. Fan XM, Kang MS, Chen H, Zhang Y, Tan J and Xu C (2007) Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal 99: 220-228
8. Gabriel KR (1978) Least squares approximation of matrices by additive and multiplicative models. Journal Royal Statistics Society 40:186-196.
9. Gauch Jr HG and Zobel (1996) AMMI analysis of yield trials. In: Kang MS and Gauch Junior HG (Eds.) Genotype-by-environment proved and under what conditions this can be most environment interaction. CRC Press, Boca Raton, p. 1-40.
10. Gauch Junior HG, Piepho HP and Annicchiarico P (2008) Statistical analysis of yield trials by AMMI and GGE: further considerations Crop Science 48: 866-889.
11. Glaz B and Kang MS (2008) Location contributions determined via GGE Biplot analysis of multienvironment sugarcane genotype-performance trials. Crop Science 48: 941-950
12. Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance. Psychometrika 33: 73-115.
13. Good IJ (1969) Some applications of the singular decomposition of a matrix. Technometrics 11: 823-831.
14. Grunvald AK, Carvalho CGP, Olivieira ACB and Andrade CAB (2008) Adaptabilidade e estabilidade de genótipos de girassol no Brasil Central. Pesquisa Agropecuária Brasileira 43: 1483-1493.
15. Mandel JA (1971) New analysis of variance model for non-additive data. Technometrics 13: 1-18.
16. Miranda GV, Vieira C, Cruz CD and Araújo GAA (1998) Comparação de métodos de avaliação da adaptabilidade e estabilidade de cultivares de feijoeiro. Acta Scientiarum 20: 249-255.
17. Miranda GV, Godoy CL, Souza LV and Santos IC (2005) Selection of discrepant maize genotypes for nitrogen use efficiency by a chlorophyl meter. Crop Breeding and Applied Biotechnology 5: 451-459.
18. Miranda GV, Souza LV, Guimarães LJM, Namorato H, Oliveira LR and Soares MO (2009) Multivariate analyses of genotype × environment interaction of popcorn. Pesquisa Agropecuária Brasileira: 44: 45-50.
19. Piepho HP (1995) Robustness of statistical test for multiplicative terms in additive main effects and multiplicative interaction model for cultivar trial. Theoretical and Applied of Genetics 89: 438-443.
20. SAS Institute (1999) SAS/STAT: user's guide: version 8. SAS Institute, Cary.
21. Souza LV, Miranda GV, Galvão JCC, Eckert FR, Mantovani EE, Lima RO and Guimarães LJM (2008) Genetic control of grain yield and nitrogen use efficiency in tropical maize. Pesquisa Agropecuária Brasileira 43: 1517-1523.
22. Souza ARR, Miranda GV, Pereira MG and Souza LV (2009) Predicting the genetic gain in the Brazilian white maize landrace. Ciência Rural 39: 19-24.
23. Vargas W and Crossa J (2000) The AMMI analysis and graphing the biplot. Biometrics and Statistics Unit, CIMMYT, Mexico, 17 p.
24. Yan W, Hunt LA, Sheng Q and Szlavnics Z (2000) Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science 40: 597-605.
25. Yan W, Kang MS, Ma B, Woods S and Cornelius PL (2007) GGE Biplot vs AMMI Analysis of genotype-by-environment data Crop Science 47: 643-655.