Effects of drought on yield and yield components were investigated during the spring season 2000-2001 by growing 14 Indian mustard genotypes under irrigated and rain-fed conditions at Bharatpur and Jobner. A disease and pest management schedule was followed when required. The drought susceptibility index (DSI) for seed yield and component characteristics was calculated to characterize the relative tolerance of genotypes. Plant height, primary branches, secondary branches per plant, 1000-seed weight and seed yield were reduced under rain-fed conditions. The top five genotypes at Bharatpur that showed tolerance to moisture stress for seed yield, as indicated by their lowest DSI, were, in descending order PSR-20, PRO-97024, JMMWR-941, IS-1787 and PCR-7, whereas at Jobner these were JMMWR-941, RC-1446, PSR-20, RH-819 and ÔVarunaÕ. Of these, PSR-20 and JMMWR-941 were among the top six at both locations. These genotypes also showed relatively low DSI for one or more characteristics, such as primary branches per plant, secondary branches per plant, harvest index and seed : husk ratio. Genotypes with the lowest DSI, particularly for seed yield at both locations, would serve as useful donors in the breeding programme for improving the drought tolerance of existing Indian mustard cultivars.Key words: Brassica juncea -drought -susceptibility index -seed yield -oil content Rapeseed-mustard crops in India account for about 21.6% and 23.2% of the total oilseed harvested area and production, respectively (Anonymous 2004). Indian mustard is predominantly grown on nearly 90% of the total harvested area, covering up to 7.0 m ha. Nearly 37% of the total rapeseedmustard area is rain-fed, where the crop is severely affected by drought, resulting in acute yield losses particularly in the drought-prone areas of Eastern and Western India which are populated largely by resource poor farmers with small land holdings. The effect of drought depends on the time of its occurrence, duration and intensity. Mustard genotypes with drought tolerance trait(s) yielded better than those without such trait(s) under water stress conditions (Singh et al. 1988). Therefore, investigating the effects of drought on yield and yield components in Indian mustard is very important for identifying drought-tolerant traits that can be incorporated into high-yielding varieties. This study is aimed at investigating the effects of drought on a wide range of genotypes of Indian mustard and identifying suitable selection criteria for drought tolerance. Materials and MethodsPlant material and experimental locations: Fourteen genotypes of Indian mustard, Brassica juncea L. (IS-1787, BE-3121, RC-53, PRO-97024, RC-1446, DIR-673, RC-5, EC-347852, JMMWR-941, PSR-20, ÔVarunaÕ, PCR-7, RN-393 and RH-819) were grown during the spring season (October-April) of 2000-2001 at two locations in Rajasthan (India), Bharatpur and Jobner, which are approximately 230 km apart.The rainfall during the cropping season, October-April, was 0.5 and 0.9 mm at both locations, respectively, as this...

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Background: Mungbean is a short duration grain legume widely grown in south and Southeast Asia. The extent of variability through Principal Component Analysis (PCA) and cluster analysis in promising mungbean genotypes should be known for possible yield improvement. A study was undertaken to work out the extent of variability among twenty four mungbean genotypes through cluster analysis and Principal Component Analysis (PCA). Methods: The experiment was laid out in a randomized block design with three replications during kharif 2018 and 2019 at the experimental field of Agricultural Research Station, Navgaon (Alwar) under rainfed condition. Result: Principal component analysis revealed that the first three main PCAs amounted 78.80% of the total variation among genotypes for different traits. Out of total principal components, PC1 accounts for maximum variability in the data with respect to succeeding components. Number of branches per plant (28.62%), number of clusters per plant (23.55%) and seed yield (15.58%) showed maximum per cent contribution towards total genetic divergence on pooled basis. Cluster analysis showed that genotypes fall into seven different clusters and their inter and intra cluster distance showed genetic diversity between different genotypes. The maximum number of genotypes i.e., 8 was found in cluster II followed by cluster III comprising of 6 genotypes. Genotypes RMG-1138 and IPM-02-03 representing the mono genotypic cluster signifies that it can be the most diverse variety and it would be the appropriate genotype for hybridization with ones present in other clusters to tailor the agriculturally important traits and ultimately to boost the seed yield in mungbean under rainfed conditions.

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