Genetic variability, heritability and character association for yield and component characters in soybean (G. max (L.) Merrill)

Genetic parameter and correlation of eight quantitative traits including grain yield were studied in thirty one soybean genotypes. Among all the traits, seed yield per plant exhibited highest estimate of PCV (47.74) and GCV (41.83) followed by dry matter weight per plant (PCV=33.99, GCV=31.15) and number of pods per plant (PCV=33.48, GCV=30.16). Heritability was highest for three characters i.e., days to 50 per cent flowering, number of primary branches per plant and 100 seed weight (91%). High heritability coupled with high genetic advance was recorded for number of pods per plant and dry matter weight per plant. Grain yield per plant exhibited highly significant and positive genetic correlation with dry matter weight per plant (rg=0.491), number of primary branches per plant (rg=0.403), number of pods per plant (0.631) and harvest index (0.487)

Estimation of combining ability for yield and yield component traits in upland rice (Oryza Sativa L.) of Uttarakhand hills

Combining ability for grain yield and its component characters in rainfed upland rice (Oryza sativa L.) were studied during Kharif 2014 using half diallel involving ten parents viz., VL Dhan 221, Vivek Dhan 154, VL 30240, VL 7620, VL 30560, VL 8116, VL 8549, VL 8724, VL 8732 and Sukradhan1. Both general combining ability (gca) and specific combining ability (sca) variances were found to be highly significant for the characters viz., plant height (gca=85.42; sca=23.12), days to 50% flowering (gca=101.61; sca=42.61), days to maturity (gca=90.37; sca=37.73), tillers per plant (gca=4.63; sca=1.38), panicle per plant (gca=2.36; sca=0.90),kernel length (gca=28.88; sca=23.61), kernel width (gca=1.64; sca=1.92),1000 grain weight (gca=3.60; sca=4.91), grain yield per plot (gca=8.57; sca=3.03), fertile grains per panicle (gca=690.67; sca=300.95) and grains per panicle (gca=1050.58; sca=437.75) indicating the importance of additive and non-additive gene actions in the expression of these traits. However, predominance of non-additive gene action was recorded for all the characters. Parents VL Dhan 221, VL 7620, VL 30560, Sukradhan 1 were good general combiners for grain yield and related characters. VL Dhan 221 and Vivek Dhan 154 were good general combiners for plant height and earliness. On the basis of specific combining ability effects, cross combinations Vivek Dhan 154 x VL 8549, VL 7620 x VL 30560, VL 8549 x VL 8732, VL 30560 x VL 8116 and VL 30240 x VL 8116 were the best specific combiner for grain yield per plot and other associated characters viz., plant height, days to 50% flowering, days to maturity, kernel length and kernal width

Bhat (Black Soybean): A traditional legume with high nutritional and nutraceutical properties from NW Himalayan region of India

307-319Bhat (black soybean) under the genus Glycine, is cultivated for food, fodder and medicinal uses by rural communities in Asia particularly, in China, Japan, Korea, Indonesia and India. In the Himalayan region of India, this legume is not only an integral part of a climate resilient farming system but also finds place in ethnodietary recipes and fondly consumed as a pulse. Black soybean ensures both food and nutritional security in hills where nutritional deficiencies are in abundance among rural, tribal and backward population engaged in subsistence farming in marginal rainfed terrains. Cultivation of black soybean is less capital intensive. Its ability to survive under harsh conditions particularly, in the event of failure of rain, makes it a better choice than other competitive crops grown during rainy season. Despite its enormous potentials, the legume has not gained the popularity in India and presently, area under this valuable legume is confined to North Himalayan hill region and scattered pockets of central India. Its high nutritive value, remedial and health promoting effects due to presence of various bioactive compounds make this legume an excellent functional food. Present review summarises the potential role of black soybean for human nutrition and health benefits

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Popular article published in Indian Farming in 2104Not AvailableNot Availabl

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Not AvailableGenetic variability was assessed using multivariate analysis among elite lentil lines derived through hybridization between macrosperma and microsperma types. As per principal component analysis, first four principal components (PC) expressed 83.50% of total variation in which PC I, PC II, PC III & PC IV accounted for 34.73%, 27.14%, 11.94% and 9.69% of total variation, respectively. On the basis of cluster analysis, cluster III was found promising for yield and its major component traits as it had the highest mean values for number of pods per plant (69), 100 seed weight (1.81g), seed yield per plant (1.73g), biological yield per plant (5.0g), harvest index (35.13%) and maturity (159 days). The correlation study between yield and its components, traits viz., biological yield per plant (r=0.70), number of pods per plant (r=0.55) and delayed maturity (r=0.40) were found major yield contributing traits and can be given due emphasis during development of improved genotypes of lentil for rainfed condition of Uttarakhand hills.Not Availabl

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Popular article published in Indian Farming in 2015Not AvailableNot Availabl

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Popular article published in Indian Farming in 2017Not AvailableNot Availabl

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Not AvailableGenetic variability, genotypic and phenotypic coefficient of variation, heritability, genetic advance, correlation coefficients among yield and yield components, direct and indirect effect of yield components on yield for fifteen characters in twenty rice genotype under rainfed upland ecosystem were carried out. The analysis of variance revealed that there were highly significant differences for all the characters among the genotypes. Higher GCV and PCV were observed in yield per plot and flag leaf width. High heritability with high genetic advance was observed in grains per panicle and fertile grains per panicle which indicated the governance by additive gene. But high heritability with low genetic advance was observed in L/B ratio, flag leaf width, kernel length, kernel width and yield per plot suggesting that these traits had greater influence of the non-additive gene action. Plant height had positive significant correlation with days to 50% flowering, days to maturity, grains per panicle, fertile grains per panicle and kernel width. Days to 50% flowering was significantly and positively correlated with days to maturity, flag leaf length, flag leaf width, grains per panicle and fertile grains per panicle. The path coefficient analysis at phenotypic level revealed that fertile grains per plant had the maximum positive direct effect on grain yield followed by plant height, kernel length and tillers per plant.ICA

Estimation of combining ability for yield and yield component traits in upland rice (Oryza Sativa L.) of Uttarakhand hills

Combining ability for grain yield and its component characters in rainfed upland rice (Oryza sativa L.) were studied during Kharif 2014 using half diallel involving ten parents viz., VL Dhan 221, Vivek Dhan 154, VL 30240, VL 7620, VL 30560, VL 8116, VL 8549, VL 8724, VL 8732 and Sukradhan1. Both general combining ability (gca) and specific combining ability (sca) variances were found to be highly significant for the characters viz., plant height (gca=85.42; sca=23.12), days to 50% flowering (gca=101.61; sca=42.61), days to maturity (gca=90.37; sca=37.73), tillers per plant (gca=4.63; sca=1.38), panicle per plant (gca=2.36; sca=0.90),kernel length (gca=28.88; sca=23.61), kernel width (gca=1.64; sca=1.92),1000 grain weight (gca=3.60; sca=4.91), grain yield per plot (gca=8.57; sca=3.03), fertile grains per panicle (gca=690.67; sca=300.95) and grains per panicle (gca=1050.58; sca=437.75) indicating the importance of additive and non-additive gene actions in the expression of these traits. However, predominance of non-additive gene action was recorded for all the characters. Parents VL Dhan 221, VL 7620, VL 30560, Sukradhan 1 were good general combiners for grain yield and related characters. VL Dhan 221 and Vivek Dhan 154 were good general combiners for plant height and earliness. On the basis of specific combining ability effects, cross combinations Vivek Dhan 154 x VL 8549, VL 7620 x VL 30560, VL 8549 x VL 8732, VL 30560 x VL 8116 and VL 30240 x VL 8116 were the best specific combiner for grain yield per plot and other associated characters viz., plant height, days to 50% flowering, days to maturity, kernel length and kernal width

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Not AvailableNine fine grain rice genotypes viz., VL 30925, VL 30926, VL 30928, VL 30929, VL 30938, VL 31486, VL 31632, VL 31634, VL 31638 were crossed with four basmati varieties Pusa Basmati 1, Pusa Sugandh 2, Pusa Sugandh 3 and Pusa Sugandh 5 in a line x tester mating design. The preponderance of dominant gene action was observed for plant height, days to 50% flowering, days to maturity, grains per panicle, fertile grains per panicle, 1000 grain weight, kernel length, kernel width, L/B ratio and grain yield per plant. Five genotypes viz., VL 30928, VL 30929, VL 31632, VL 30925 and VL 31634 were found to be good general combiners and could be utilized to generate desirable segregants for future breeding programmes. High sca effects were observed in the crosses VL 30926 x P. Sug 5, VL 30929 x P. Sug 3, VL 30938 x P. Sug 5, VL 31486 x P. Sug 2, VL 31632 x P. Sug 5, VL 31634 x P. Bas 1 and VL 31638 x P. Bas 1 for grain yield and components traits.ICA