The Study of Non-Parametric Stability Methods in 28 Wheat Genotypes in Some Tropical Regions

Subject Areas : Sustainable production technologies

mehran khaki ¹ , Alireza fakhereh vaezi ² , vahideh alipoor astkhri ³ , Reza Noruozi ⁴

1 - Research Assistant Professor, Agricultural and Horticultural Research Department, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran.
2 - Research Instructor, Agricultural and Horticultural Research Department, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran.
3 - Research Expert, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran
4 - Research Expert, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran

Received: 2024-08-12 Accepted : 2025-02-02 Published : 2025-03-20

Keywords: Environmental genotype interactions, Bread wheat, stability, nonparametric methods,

Abstract :

The study assessed the interaction effect of genotype and environment and the stability of yield in bread wheat (Triticum aestivum) with different genetic structures. It involved the selection of stable and high-yielding genotypes among 28 bread wheat genotypes using a completely randomized block design in four replications over two years (2015-2016 and 2016-2017) at research stations. Comparing and utilizing non-parametric stability methods were among the study's objectives. The results of the combined ANOVA analysis showed significant differences at a 1% probability level, indicating the varied responses of genotypes across different environments. According to results obtained from the two non-parametric statistics, Nassar and Hall, genotypes 16, 25, 27, and 15, with lower values, were identified as the most stable genotypes. In both stability criteria, genotypes with the lowest values, specifically 15, 16, and 27, were recognized as the most stable. High correlation of the stability statistic 's' with grain yield and other non-parametric stability methods did not show a positive correlation with average yield, indicating a static concept. Tanaro (1995) utilized four parameters of stability for non-parametric stability analysis. Upon examining the criteria, it was observed that genotype number 27 was identified as stable across all four criteria. The results from principal component analysis (PCA) and statistical correlation analysis indicated that ranking for simultaneous selection based on yield and high stability is beneficial.

References:

Becker, H. C., and Leon, J. 1988. Stability analysis in plant breeding. Plant Breeding. 101: 1-23.
Fox, P. N., Skovmand, B., Thompson, B. K., Braun, H. J. and Cormier, R. (1990 ) Yield and adaptation of hexaploid spring triticale. Euphytica, 47: 57–64.
Huhn, M. and Nassar, R. (1989). On tests of significance for nonparametric measures of phenotypic stability. Biometrics, 45 :997-1000.
Huehn, V. M. 1979. Beitragezurerfassung der phanotypischenstabilitat. Edv. Med. Biol., 10: 112-117.
Kang, M. S. 1988. A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications. 16: 113-115.
Kang, M. S. 1993. Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agronomy Journal. 85: 754-757.
Kang, M.S. and H.N. Pham, 1991. Simultaneous selection for high yielding and stable crop genotypes. Agron. J., 83: 161-165.
Kang, M. S. 1988. A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications. 16: 113-115.
Kaya, Y., and Taner, S. 2003. Estimating genotypic ranks by nonparametric stability analysis in bread wheat. Central Europe Agriculture Journal. 4: 47-53.
Ketata H. 1988. Genotype × environment interaction. ICARDA. Proceeding of the workshop on biometrical techniques for cereal breeders. ICARDA, Aleppo, Syria. 16-32.
Mohammadi, R., Abdulahi, A., Haghparast, R., Aghaee, M., and Rostaee, M. 2007. Nonparametric methods for evaluating of winter wheat genotypes in multi-environment trials. World Journal of Agricultural Sciences. 3 (2): 137-242.
Nassar, R., and Huehn, M. 1987. Studies on estimation of phenotypic stability: Tests of significance for non-parametric measures of phenotypic stability. Biometrics. 43: 45-53.
Shukla, G. K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 29: 237-245.
Sabaghnia, N., Dehghani, H., and Sabaghpour, S. H. 2006. Nonparametric methods for interpreting genotype × environment interaction of lentil genotypes. Crop Science. 46: 1100-1106.
Thennarasu, K. 1995. On certain non-parametric procedures for studying genotype ×environment interactions and yield stability. Ph.D. Thesis, P. J. School, IARI, New Delhi, India.