| Autor: |
Vemula, Anilkumar, S., Parthasarathy, S. K., Khadar Babu, N. V. P. R., Ganga Rao, Sharma, Mamta |
| Předmět: |
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| Zdroj: |
Statistica & Applicazioni; Jan-Jul2022, Vol. 20 Issue 1, p21-34, 14p |
| Abstrakt: |
Apply different nonparametric tests for genotype x environment interactions (GEI) on 27 chickpea genotypes evaluated for Fusarium wilt across 10 environments. Results of nonparametric tests of Bredenkamp and Van der de kroon and parametric test of combined analysis of variance across environments indicated the presence of both crossover and non-crossover interactions of GEI. The results of the Principal Component Analysis and rank correlation of nonparametric stability statistics would be indicated to selection of static and dynamic stability genotypes which had low wilt. Rank Sum Method (RSM) and mean wilt had significant positive correlation and indicated that RSM was the best parameter to identify low wilt and high stability genotypes. Among the non-parametric stability, RSM would be useful for simultaneous selection for low wilt and stability and G6, G11, G14, G15, G16, G23, G25, G26 and G27 as of dynamic stability and wide adaptation, G11, G25 and G26 had lowest wilt and high stability and which becomes statistic stability. The objectives of this investigation were (i) Apply nonparametric tests to investigate the crossover and non-crossover GE interaction in multi-environment trials, (ii) Study the relationships among different nonparametric stability statistics on selection of stable chickpea genotypes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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