AMMI analysis to evaluate the adaptability and phenotypic stability of sugarcane genotypes

Sugarcane (Saccharum sp.) is one of the most important crops in Brazil. The high demand for sugarcane-derived products has stimulated the expansion of sugarcane cultivation in recent years, exploring different environments. The adaptability and the phenotypic stability of sugarcane genotypes in the Minas Gerais state, Brazil, were evaluated based on the additive main effects and multiplicative interaction (AMMI) method. We evaluated 15 genotypes (13 clones and two checks: RB867515 and RB72454) in nine environments. The average of two cuttings for the variable tons of pol per hectare (TPH) measure was used to discriminate genotypes. Besides the check RB867515 (20.44 t ha-1), the genotype RB987935 showed a high average TPH (20.71 t ha-1), general adaptability and phenotypic stability, and should be suitable for cultivation in the target region. The AMMI method allowed for easy visual identification of superior genotypes for each set of environments.

[1]  J. Haldane The interaction of nature and nurture. , 1946, Annals of eugenics.

[2]  P. Cornelius,et al.  Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances , 1997 .

[3]  H. G. Gauch,et al.  Predictive and postdictive success of statistical analyses of yield trials , 1988, Theoretical and Applied Genetics.

[4]  E. Daros,et al.  Stability and adaptability of early maturing sugarcane clones by AMMI analysis , 2009 .

[5]  M. Ramón,et al.  Ammi Analysis and its Application to Sugarcane Regional Trials in Venezuela , 2011, Sugar Tech.

[6]  D. F. Ferreira,et al.  Statistical models in agriculture: biometrical methods for evaluatingphenotypic stability in plant breeding , 2006 .

[7]  R. Gauch,et al.  AMMI Analysis of Yield Trials , 1996 .

[8]  J. Crossa,et al.  Genotype × Environment Interacion in multi-environment Trials using shrinkage factors for ammi models , 2004, Euphytica.

[9]  P. Annicchiarico Joint regression vs AMMI analysis of genotype-environment interactions for cereals in Italy , 1997, Euphytica.

[10]  H. Gauch,et al.  Additive main effects and multiplicative interaction analysis of two international Maize cultivar trials , 1990 .

[11]  Hugh G. Gauch,et al.  Genotype By Environment Interaction , 1996 .

[12]  P. Cornelius,et al.  Statistical Tests and Estimators of Multiplicative Models for Genotype-by-Environment Interaction , 1996 .

[13]  Hugh G. Gauch,et al.  Statistical Analysis of a Yield Trial , 1988 .

[14]  Hugh G. Gauch,et al.  Identifying mega-environments and targeting genotypes , 1997 .

[15]  H. Piepho Robustness of statistical tests for multiplicative terms in the additive main effects and multiplicative interaction model for cultivar trials , 1995, Theoretical and Applied Genetics.

[16]  P. Cornelius,et al.  Using the shifted multiplicative model to search for “separability” in crop cultivar trials , 1992, Theoretical and Applied Genetics.

[17]  R. Kempton The use of biplots in interpreting variety by environment interactions , 1984, The Journal of Agricultural Science.

[18]  H. Grüneberg,et al.  Introduction to quantitative genetics , 1960 .