The greengram, also known as mungbean or Vigna radiata L. Wilczek, is a significant pulse crop in India. Throughout India, it is mostly cultivated in subsistence agricultural systems. Even though it may be cultivated in three seasons across India, the average production is unbelievably low. The local germplasm has a significant genetic variation since the crop has developed in a wide variety of environmental settings. To comprehend the genetic variability and identification of distinct germplasm lines, a study was conducted on 300 green gram accessions utilising 14 quantitative traits. For pods per plant, pod clusters per plant, branches per plant, biological yield per plant, 100 seed weight, nodes per plant, harvest index, and seeds per pod, relatively high PCV and GCV were found. Additionally, an evaluation of the genetic advance (GA) and broad-sense heritability (h2) was done to select the most significant quantitative variables. Due to their high broad sense heritability (h2) and genetic advance, biological yield per plant, pods per plant, plant height, and harvest index were shown to be highly suited for mungbean breeding programmes. The breeder must typically utilise an appropriate breeding strategy to use these traits in subsequent breeding programmes.

Background: Lentil is an important legume crop that plays a vital role in sustainable agriculture and human health. However, the restricted genetic foundation or parentage of contemporary cultivars has arisen as a serious challenge for lentil development. Therefore, determining the genetic diversity and yield-related characteristics is crucial for the breeder to broaden the genetic base and aid in selecting the desirable parents for hybrid development programmes. Methods: In the current study, microsatellite markers were used for diversity analysis among 37 lentil genotypes. Morphological and molecular systems both were able to differentiate lentil genotypes. Among applied SSR primers 10 were able to produce successful amplifications with template DNA of all the studied genotypes of lentil. Result: A sum of 357 scoreable bands were produced, 148 of which accounted for 41.45% polymorphism. The UPGMA dendrogram grouped 37 lentil genotypes into 2 groups. PIC values ranged from 0.37 to 0.77. For this experiment, SSR 80, SSR 130, SSR 34-2 and SSR 33 were highly informative polymorphic markers, demonstrating the efficacy and higher resolution in exposing molecular genetic diversity among lentil genotypes. The highest numbers of alleles (5) were produced by SSR 80 primer which was selected as extremely polymorphic. This study reveals the variation across lentil genotypes, which might be employed further in breeding efforts for lentils that result in strong heterosis in the segregating generation. The SSR markers found as polymorphic may also be utilized for further polymorphism analysis among different set of lentil genotypes.

Lentil (Lens culinaris), an annual plant of the Fabaceae family, is extensively cultivated in Europe, Asia, and North Africa. In India, it is cultivated in rabi season (winter) and is an important legume due to its highly nutritious nature. Thirty-seven distinct lentil (Lens culnaris Medik) genotypes were examined for 10 quantitative traits, including seed yield and its associated characters. Among them, the maximum contribution most towards genetic divergence was observed by 100 seed weight. Seven clusters were created based D2 values comprising of all the genotypes. The cluster analysis revealed that the number of genotypes in each cluster ranged from 1 to 22. The clustering pattern confirmed the non-correspondence among geospatial and genetic diversity. Due to the fact that clusters IV and VI (670.74) had the greatest inter-cluster distance, their members were very diverse from one another. Days to flower initiation (61.73), days to maturity (112.47), no. of pods per plant (128.51), biological yield per plant (26.46), harvest index (44.41), and seed yield per plant (11.65) were among the traits for which entries from Cluster VI recorded the highest values. As a result, the genotypes from clusters IV and VI might be used in a hybridization scheme to create genotypes with high yields.