A study was conducted using ten genetically diverse genotypes along with their 45F 1 (generated by diallel mating) under normal and salt stress conditions. Although, tomato (Lycopersicon esculentum Mill.) is moderately sensitive to salinity but more attention to salinity is yet to be required in the production of tomato. In present study, germination rate, speed of germination, dry weight ratio and Na + /K + ratio in root and shoot, were the parameters assayed on three salinity levels; control, 1.0 % NaCl and 3.0 % NaCl with Hoagland's solution. Increasing salt stress negatively affected growth and development of tomato. When salt concentration increased, germination of tomato seed was reduced and the time needed to complete germination lengthened, root/shoot dry weight ratio was higher and Na + content increased but K + content decreased. Among the varieties, Sel-7 followed by Arka Vikas and crosses involving them as a parent were found to be the more tolerant genotypes in the present study on the basis of studied parameters.

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Thirty genotypes of fenugreek (<italic>Trigonella foenum-graecum</italic> L.) were evaluated over four environments in randomized block design with 3 replications to estimate stability parameters of seed yield and its important component traits. The environments were created by changing the dates of sowing and irrigation levels. The genotypes interacted with the environments significantly indicating non linear response of genotypes to environments. Simple correlations between seed yield and other traits indicated that pods per plant and the test weight are the two important component traits. Stability analysis indicated difference in stability among the genotype for seed yield and the component traits. A positive correlation was noted between the regression coefficient and the mean seed yield of the genotypes, thus hypothesizing that higher yielding genotypes were better suited to better environments. The results of AMMI analysis corroborated with the results obtained from stability anlaysis, although AMMI analysis provided a better chance to delineate the genotypes and environments. Genotypes UM-137, UM-128, UM-322 and RMt-1 are found relatively stable for seed yield.

The present study was conducted to evaluate the plant nutrient traits in 12 baby corn genotypes by using Principal component analysis and cluster analysis during rabi 2017. Analysis of variance depicted the genotypes differed significantly among themselves for all the traits except sugar content. Variability studies revealed that PCV was observed maximum for all the traits. Maximum GCV and PCV were recorded for yield without husk followed by iron content and sugar content. Medium heritability was observed for all the traits except sugar content. Calcium content and iron content was recorded for highest genetic advance. Principal component analysis revealed that the first three principal components together accounted for 87.49 % of variability. The principal components (PC1, PC2) were highly positively influenced by sugar and iron contents, respectively. PC3 was negatively influenced by yield without husk. The 12 genotypes were grouped into three distinct clusters. The cluster-I were the largest cluster comprising of five genotypes and followed by Cluster-II (4 genotypes) and cluster-III (3 genotypes). The genotypes in cluster-I has higher iron content and yield without husk, while the genotypes in cluster-II having higher potassium, phosphorous and calcium contents. The genotypes in cluster-III exhibiting higher means for sugar and phosphorous contents.

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Mung bean (Vigna radiata L. Wilczek) is one of the most important pulse crops due to the high content of protein as well as the ability to nitrogen fixation in soil. Seed yield is the most complex trait which highly influenced by other traits and also the environment. In this view, the study was aimed to evaluate the relationship between yield and yield attributing traits of sixty genotypes of Mung bean. The genotypes exhibited significant variability in respect to all the fourteen quantitative characters studied. Genetic variability studies showed presence of good amount of variation among the sixty genotypes. Highest PCV and GCV was recorded by seed yield followed by number of seeds per plant and primary branch length. The characters, seed yield per plant, number of seeds per plant, primary branch length, biological yield, harvest index, 100 seed weight, number of pods per plant, number of clusters per plant, plant height and number of primary branches had shown high heritability coupled with high genetic advance as percent mean. Seed yield per plant had shown highly significant and positive correlation with number of clusters per plant, number of pods per plant, pod length, number of seeds per pod, number of seeds per plant, biological yield and harvest index at both phenotypic and genotypic levels. Path analysis showed that biological yield and harvest index were the most important characters for yield improvement.

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