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The study was conducted during kharif season ( June–October) of 2016 at the Regional Agricultural Research Station, Agriculture College, Professor Jayashankar Telangana State Agricultural University (PJTSAU), Jagtial, Telangana, India. Forty (40) maintainer lines of rice (Oryza sativa L.) were grown in randomized block design replicated twice to find the relationships between the yield and its components, as well as their direct and indirect effects on the rice grain yield. Observations were recorded for yield, yield attributing characters and quality traits on five randomly selected competitive plants for each entry in each replication for 15 characters. The results revealed that the analysis of variance was significant for all the characters investigated. Grain yield was significantly correlated with its component characters like number of tillers plant-1 (0.9191**), panicle length (0.3339**), milling percentage (0.3214**) and hulling percentage (0.2873**) whereas it showed a negligible positive correlation with days to 50% flowering, days to maturity, plant height, panicle length, number of grains per panicle, kernel length, kernel breadth, L/B ratio, test weight, hulling percentage, and head rice recovery percentage. Path coefficient analysis revealed that number of tillers plant-1 (0.9439) exerted maximum positive direct effect on plant yield followed by kernel breadth, L/B ratio, panicle length, milling percentage, days to flowering and head rice recovery percentage indicated their importance in determining the complex character and therefore should be kept in mind while practicing selection aimed at improving the grain yield. [ABSTRACT FROM AUTHOR]

An experiment was conducted at the Agricultural College, Aswaraopet, Bhadradri Kothagudem district, Telangana, India during July to December 2021 by using thirty elite rice genotypes comprising of different durations i.e. short, medium and long to study the nature of relationship between grain yield and morpho-physiological traits by partitioning the correlation co-efficients between grain yield and morpho-physiological traits into direct and indirect effects. Observations were recorded on seven yield, six physiological and three root characters. The correlation studies revealed that, grain yield plant-1 had shown a significant positive association with yield contributing traits like 1000 grain weight, spikelet fertility, specific leaf area and root biomass, indicating the importance of these traits in yield improvement. Among all other yield attributing characters, spikelet fertility showed the highest significant positive correlation with yield whereas days to 50% flowering and number of productive tillers plant-1 exhibited non-significant positive association with grain yield plant-1. Path coefficient analysis revealed that the highest positive direct effect on grain yield was exhibited by spikelet fertility and 1000 grain weight. A high magnitude of negative direct effects on yield was shown by field emergence at 14 DAS. Thus, from the studies on correlation and path analysis, it could be concluded that the traits viz., spikelet fertility, 1000 grain weight, specific leaf area and root biomass could be used as selection parameters for improving grain yield under dry DSR system. [ABSTRACT FROM AUTHOR]

A study was conducted at the Experimental Farm of Department of Vegetable Science, Dr Yashwant Singh Parmar University of Horticulture and Forestry, Nauni, Solan (HP), India during the year 2018 (May-October) to screen twenty-one (21) genotypes of chilli for thirteen characters including yield and total capsaicin content. The evaluation was done in a randomized block design with three replications. Sufficient genetic variability was found for all characters. Correlation analysis revealed a positive significant correlation of fresh ripe yield plant-1 with the number of red fruits plant-1 (0.842*), days to fresh ripe maturity (0.394*), dry yield as percentage of fresh ripe (0.386*), days to 50 % flowering (0.384*), plant height (0.374*) and days to green fruit maturity (0.352*). The number of red fruits plant-1 (0.440*) had a positive significant correlation with total capsaicin content. Path analysis revealed a positive direct effect of number of red fruits plant-1 (0.698) on fresh ripe yield followed by days to green fruit maturity (0.372), number of seeds fruit-1 (0.218), average red fruit weight (0.168), dry yield as percentage of fresh ripe (0.111), plant height (0.111) and red fruit length (0.007) whereas total capsaicin content in dry chilli had the positive direct correlation with days to 50% flowering, days to fresh ripe maturity, number of fruits plant-1 and 1000 seed weight. Finally, it was revealed that the selection of genotypes bearing many small-thick fruits would be the most suitable criterion for selecting a population having high capsaicin content and fruit yield. [ABSTRACT FROM AUTHOR]