Browsing by Author "ARUNAKUMAR, N P"
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ThesisItem Open Access GENETIC VARIABILITY FOR DROUGHT TOLERANCE AND AGRONOMIC TRAITS CONTRIBUTING TO SEED YIELD IN SOYBEAN (Glycine max (L.) Merrill)(UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU, 2008-02-10) ARUNAKUMAR, N P; Swamy, MSoybean [Glycine max (L.) Merrill] is considered as miracle crop containing 40% protein and 20 % oil. It plays major role in the world food system. It produces three times more protein than rice, wheat, maize, and it is excellent source of polyunsaturated fatty acids (PUFA). In China, soybean is known as “meat of the field”. Under the present situation of shortage of edible oil as well as protein and problems like malnutrition in India, it has a greater role to play. Soybean cultivation, production, processing and utilization have been gaining rapid momentum in the country. Presently in India, it has covered an area of 8.87 m. ha. with 9.46 m. tons of production with productivity of 1067 kg per hectare (Annon-2008). Karnataka is one of the soybean cultivating states with an area of 1,78,000 hectares accounting for the production of 1,14,000 tons with a productivity of 640 kg per hectare (Annon-2006). Since majority of the cultivated area comes under rainfed condition during Kharif season, the productivity level is low in soybean. The genetic variability for the characters of economic importance is the basic prerequisite for improvement of any crop species. Yield being a complex character is influenced by number of other yield contributing characters and greatly influenced by variation in environmental factors. The observed variability in these characters is the sum total effect of concerned genes plus the influence of environment. Thus, it is necessary to partition the variability into heritable and non-heritable components with suitable genetic parameters, such as genotypic and phenotypic coefficient of variation, heritability and genetic advance. Since, seed yield is a complex character resulting from the interplay of various related traits and the environmental influence, its heritability is low. As a result, direct selection for yield is less efficient in improving productivity of a crop. The correlation analysis studies are of great help in formulating efficient scheme of multiple trait selection, as they provide means for direct and indirect selection of component characters for improvement of yield (Bhandarkar, 1999).