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Due to expanded usage and a primary raw material for various industrial applications and biofuel production, variability is necessity to develop high yielding castor (Ricinus communis L.) genotypes. Therefore, it is essential to document the germplasm of this important crop to increase its production. With this view, a study was conducted with 15 diverse castor genotypes to evaluate diversity using 14 microsatellite/simple sequence repeats (SSRs) markers. In SSR analysis, 14 primers generated a total of 31 amplicons with mean number of 2.21 polymorphic amplicons per primer. The range of molecular weight of these amplicond/bands was from 120 to 300 bp. The polymorphic information content (PIC) ranged from 0.231 (SSR-8) to 0.684 (SSR-10) with an average of 0.413. The primers SSR-7 and SSR-10 possess higher PIC value above 0.6. The highest genetic similarity was noticed between the genotypes, GEETA and 48-1 whereas; least genetic similarity was reported between the genotypes namely, JI-96 and SH-72. Clustering pattern of dendrogram generated by pooled SSR data showed two main clusters. The cluster A was the largest with eight genotypes and cluster B contained seven genotypes. Accessions, JI-96 and SH-72 were identified as highly diverse based on molecular studies and can be exploited to develop biparental mapping populations as well as in castor improvement program to wider the genetic background of various castor genotypes.

Stable performance of grain amaranths genotypes at specific environment is critical for obtaining high and consistent yield. This study was conducted to assess grain yield stability of thirteen genotypes in varied environments in three successive growing seasons and effects of genotype (G) and genotype×environment (GE) interaction were illustrate graphically based on "what-won-where" to advocate genotypes for a specific environment, using GGE biplot. Result of study revealed that GGE biplot was effective to recognize stable and highest yield (1648.92 kg/ha) genotype as G5 followed by G6 (1457.24 kg/ha) and G3 (1268.62 kg/ha) genotypes while the genotype G7 had the lowest grain yield and was the least stable across varying environments. This study could be aid tool for endorsement of amaranths genotypes for specific environment, taking into elucidation the peculiarities of genotypes and growing stipulation. KEYWORDS GGE biplotGrain amaranths Grain yieldWhat-won-where

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