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Ward’s hierarchical clustering

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  • Nonparametric stability statistics had been used by plant breeders worldwide due to the potential returns relative to other parameters (Farshadfar et al., 2014).

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  • The main objective of the study was to form similarity based on area, production and productivity for different crops of Rajasthan for which the secondary data on area, production and productivity of 23 different major crops i.e. period from 1980 to 2014 were collected. The study period was classified as Pre WTO era from 1980-1995 and Post WTO era from 1996-2014. Ward’s method of clustering under hierarchical cluster analysis was used and Dendrogram shows the graphical representation of the results of hierarchical cluster analysis.

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  • The genetic diversity and population structure in 51 chickpea accessions were studied using 30 chickpea specific SSR markers. Twenty eight SSR markers exhibited polymorphism producing a total of 217 alleles. The average number of alleles per locus was 7.75. The average PIC value was 0.75 and ranged from a minimum of 0.53 (TA1) to a maximum of 0.85 (TA64). The markers TA5, TA14, TA18, TA21, TA64, TA71, TA106, TR20, TR26, TR58, TS43 were considered to be highly informative (PIC ≥ 0.8), in evaluating allelic variation present in the chickpea accessions.

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