Welcome to International Network for Natural Sciences | INNSpub

Paper Details

Research Paper | March 1, 2014

| Download 1

Nonparametric methods for interpreting genotype×environment interaction in bread wheat genotypes

Ezatollah Farshadfar, Nasrin Mahmudi, Azadahe Sheibanirad

Key Words:

J. Bio. Env. Sci.4(3), 55-62, March 2014


JBES 2014 [Generate Certificate]


In order to investigate phenotypic stability of bread wheat genotypes using non-parametric stability statistics an experiment was conducted in Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran for three years under two environments (rainfed and irrigated conditions). Parametric and non-parametric combined analysis of variance exhibited significant genotype × environment interaction, therefore it was possible to calculate phenotypic stability of genotypes. Non-parameric stability statistics Si (1), Si (2) and Si (3) introduced G2 as the most stable genotype. According to NPi (1), NPi (2), NPi (3) and NPi(4) genotype G12 was identified as the most stable. The rank sum (RS) of all the genotypes investigated distinguished genotypes no. 12 as the most stable genotype with high grain yield, hence it can be used for improvement of adaptation in wheat.


Copyright © 2014
By Authors and International Network for
Natural Sciences (INNSPUB)
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Nonparametric methods for interpreting genotype×environment interaction in bread wheat genotypes

Abdulahi A, Pourdad SS, Mohammadi R. 2009. Stability analysis of seed yield in safflower genotypes in IRAN. Acta Agronomica Hungarica 57 (2), 185 – 195.

Becker HC. 1981. Correlations among some statistical measures of phenotypic stability. Euphytica 30, 835-840.

Becker HC, Leon J. 1988 Stability analysis in plant breeding. Plant Breeding 101, 1-23.

Bredenkamp J. 1974. Non-parametrische prüfung von wechselwirckungen Psychologische Beitrage 16, 398-416.

De Kroon J, Van der Laan P. 1981. Distribution-free test procedures in two-way layouts: A Concept of rank interaction.Stat. Neeri 35, 189-213.

Ebadi Segherloo A, Sabaghpour SH, Dehghani H, Kamrani M. 2008. Non-parametric measures of phenotypic stability in chickpea genotypes (Cicer arietinum L.). Euphytica 162, 221-229.

Farshadfar E, Sutka J. 2003. Locating QTLs controlling adaptation in wheat using substitution lines.. Cereal Research Communication 31, 249-254.

Farshadfar E, Sutka J. 2006. Biplot analysis of genotype – environment interaction in durum wheat using the AMMI model. Acta Agronomica Hungarica 54, 459-467.

Farshadfar E, Safari H, Yaghotipoo A. 2012. Chromosomal localization of QTLs controlling genotype × environment Interaction in wheat substitution lines using nonparametric methods. Journal of Agricultural Science 4 (12), 18-26.

Hildebrand H. 1980. Asymptotosch verteilungsfreie rangtests in linearen modellen. Med, Inform. Stak 17, 344-349.

Huehn M. 1990. Non-parametric measures of phenotypic stability: Part 1. Theory. Euphytica 47,189–194.

Huehn M, Leon J. 1995. Non-parametric analysis of cultivar performance trials: Experimental results and comparison of different procedures based on ranks. Agronomy Journal 87, 627–632.

Huehn M, Nassar R. 1989. On tests of significance for nonparametric measures of phenotypic stability. Biometrics 45, 997–1000.

Huehn M. 1979. Beitrage zur erfassung der phanotypischen stabilitat. EDV Med. Biol. 10, 112– 117.

Kang MS. 1988. A rank–sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communication 16, 113–115.

Kearsey M, Pooni HS. 2004. The Genetical analysis of Quantitative traits. Chapman and Hall, Boca Raton, FL, USA.

Kubinger KD. 1986. A note on non-parametric tests for the interaction on two-way layouts. Biometric Journal 28, 67-72

Mohammadi R, Abdulahi A, Haghparast R, Aghaee M, Rostaee M. 2007. Non-parametric methods for evaluating of winter wheat genotypes in multi environment trials. World Journal of Agricultural Science 3, 137-242.

Nassar R, Huhn M. 1987. Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics 43, 45-53.

Pimsaen W, Jogloy S, Suriharn B, Kesmala T, Pensuk VA, Patanothai A. 2010. Genotype by environment (G×E) interaction for yield components of Jerusalem Artichoke (Helianthus tuberosus L.). Asian Journal of Plant Science 9(1), 11-19.

Sabaghnia N, Dehghani H, Sabaghpour SH. 2006. Nonparametric methods for interpreting genotype × environment interaction of Lentil genotypes. Crop Science 46, 1100-1106.

Scapim CA, Oliveira VR, Braccini AL, Cruz CD, Andrade CAB, Gonçalves-Vidigal MC. 2000. Yield stability in maize (Zea mays L.) and correlations among the parameters of the Eberhart & Russel, Lin & Binns and Huehn models. Genetic and Molecular Biology 23, 387-393.

Shukla GK. 1972. Some statistical aspects of partitioning genotype environmental components of variability. Heredity 29, 237-245.

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.

Truberg B, Huehn M. 2000. Contribution to the analysis of genotype by environment interactions: Comparison of different parametric and non-parametric tests for interactions with emphasis on crossover interactions. Agronomy and. Crop Science 185, 267–274.

Zali H, Farshadfar E, Sabaghpour SH. 2011. Non-parametric analysis of phenotypic Stability in chickpea (Cicer arietinum L.) genotypes in Iran. Crop Breeding Journal 1(1), 89-100.


Style Switcher

Select Layout
Chose Color
Chose Pattren
Chose Background