Malla, S. and Ibrahim, A.M.H. and Little, R. and et al, . (2010) Comparison of shifted multiplicative model, rank correlation, and biplot analysis for clustering winter wheat production environments. Euphytica, 174 (3). pp. 357-370.
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Abstract
Categorization of locations with similar environments helps breeders to efficiently utilize resources and effectively target germplasm. This study was conducted to determine the relationship among winter wheat (Triticum aestivum L.) yield testing locations in South Dakota. Yield trial data containing 14 locations and 38 genotypes from 8 year were analyzed for crossover genotype (G) × environment (E) interactions according to the Azzalini-Cox test. G × E was significant (P < 0.05) and contributed a small proportion of variation over the total phenotypic variation. This suggested that for efficient resource utilization, locations should be clustered. The data were further analyzed using the Shifted Multiplicative Model (SHMM), Spearman’s rank correlation and GGE biplot to group testing locations based on yield. SHMM analysis revealed four major cluster groups in which the first and third had three locations, with four locations in each of the second and fourth groups. Spearman rank correlations between locations within groups were significant and positive. GGE biplot analysis revealed two major mega-environments of winter wheat testing locations in South Dakota...
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Genotype × environment interaction; SHMM; GGE biplot; Triticum aestivum |
| Author Affiliation: | Plant Science Department, South Dakota State University, Brookings, SD 57007, USA |
| Subjects: | Plant Production Crop Improvement > Genetics/Genomics Crop Improvement > Plant Breeding |
| Divisions: | Other Crops |
| Depositing User: | Ms K Syamalamba |
| Date Deposited: | 09 Jul 2013 05:15 |
| Last Modified: | 09 Jul 2013 07:14 |
| Official URL: | http://dx.doi.org/10.1007/s10681-010-0130-2 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/10996 |
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