Mahtabi, E. and Farshadfar , E. and Jowkar, M.M. (2013) Non parametric estimation of phenotypic stability in Chickpea (Cicer arietinum L.). International Journal of Agriculture and Crop Sciences, 5 (8). pp. 888-895.
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Abstract
In order to determine phenotypic stability of grain yield 20 chickpea genotypes were used in a randomized completely block design (RCBD) with three replications under rainfed and irrigated conditions during 2009-2013 growing seasons. The non-parametric measures used for G × E interaction were highly significant (P<0.01), suggesting differential responses of chickpea genotypes to the test environments. Considering both Si(1) and Si(2), genotype no. 16 had the smallest change in its ranks and was regarded as the most stable genotype followed by genotypes no. 20 and 5. Two other non-parametric statistics, Si(3) and Si(6), combine yield and stability based on yield ranks of genotypes in each environment. The lowest value for each of these statistics indicates maximum stability for a certain genotype. Genotype no. 16 was the most stable genotype considering the Si(3) and Si(6) statistics. Considering NPi(1), genotypes no. 20, 5, 16 and 13 were stable in comparison with the other genotypes. Genotypes no. 20, 16 and 5 had the lowest value of NPi(2) and were considered stable. NPi(3) and NPi(4) also identified genotypes no. 20 and 16 as the most stable genotypes with high mean yield. Spearman's rank correlation indicated that mean yield was significantly and negatively correlated with Si(3), Si(6), NPi(2) and NPi(4) statistics, but it was not correlated with Si(1), Si(2), NPi(1) and NPi(3). Principal component analysis (PCA) exhibited that the first four PCAs explained 90.38% of the total variance of original variables. Biplot analysis of stability measures revealed that stability measures can be classified into four groups. Most of the stability methods indicated that the genotypes no. 20, 16 and 5 was the most phenotypically stable
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | chickpea, non-parametric methods, Genotype × Environment interaction, biplot |
| Author Affiliation: | Department of Agronomy and Plant Breeding, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran |
| Subjects: | Plant Protection Statistics and Experimentation |
| Divisions: | Chickpea |
| Depositing User: | Mr B Krishnamurthy |
| Date Deposited: | 23 Aug 2013 08:59 |
| Last Modified: | 23 Aug 2013 08:59 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/11496 |
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