Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments

Name: Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Brand: Vita e Pensiero
Availability: OnlineOnly

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments

Authors

Khadar Babu SK, Ganga Ganga Rao NVPR, S. Parthasarathy, Mamta Sharma, Anilkumar Vemula

Publisher

Vita e Pensiero

Format

Article |

Pdf

Pages

Online from

06-2023

Doi

10.26350/999999_000049

Issn

1824-6672 (print) | 2283-6659 (digital)

Write a comment for this product

Download

Ebook format Pdf readable on these devices:

Computer
with Software:
- Adobe PDF Reader
Android
iPhone/Ipad
with App:
- Adobe PDF Reader
E-Book Reader
Ibs Tolino
Kobo

Description Readers' comments

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.

keywords

Analysis of variance, RSM-Rank Sum Method, TOP, nonparametric stability, GEI-Genotype X Environment Interaction

Authors biography

International Crops Research Institute for Semi-Arid Tropics (ICRISAT) - Patancheru - TELANGANA - India, 502324 (e-mail: anil.kumar@cgiar.org).
Annamalai University - Chidambaram - TAMILNADU - India, 608002. VIT - Vellore - TAMILNADU - India, 632014.

Enter a comment for Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments