9783330021921 - diversity and association analysis for yield related traits in soybean von badaya, varun kumar; gill, b. s. (7 Ergebnisse)
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Taschenbuch. Zustand: Neu. Diversity and Association Analysis for Yield Related Traits in Soybean | Varun Kumar Badaya (u. a.) | Taschenbuch | 144 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330021921 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at…]preigu[dot]de | Anbieter: preigu.
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Paperback. Zustand: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book will helpful to academic, students and researchers to understand presence and magnitude of genetic variability and correlation which is the pre-requisite of any breeding programme. Soybean (Glycine max (L.) Merrill) belongs…to the legume family, is recognized as golden or miracle bean due to its high nutritive value and various uses viz., for feed, oil and soy food products. It is rich in oil (18-22%), protein (38-42%), lycine and vitamins A, B and D. The Parameters like genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance are useful biometrical tools for determination of genetic variability. The success of selection is mainly depends on the amount of genetic variability present in the material. Greater the amount of genetic variability present in the population, greater would be the scope for improvement. The correlation analysis elucidates the intrinsic nature of observed association between yield and its attributes. Keeping these points in view, the present study was planned to derive information which is helpful in soybean improvement programme. 144 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Badaya Varun KumarMr. Varun Kumar Badaya received his B.Sc.(Agri) Hons. degree in 2012 from RCA, MPUA&T, Udaipur, Rajasthan (India) and M.Sc. (Agri) in Plant Breeding and Genetics in 2014 from Punjab Agri…cultural University, Ludhiana.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will helpful to academic, students and researchers to understand presence and magnitude of genetic variability and correlation which is the pre-requisite of any breeding programme. Soybean (Glycine max (L.) Merrill) belongs to t…he legume family, is recognized as golden or miracle bean due to its high nutritive value and various uses viz., for feed, oil and soy food products. It is rich in oil (18-22%), protein (38-42%), lycine and vitamins A, B and D. The Parameters like genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance are useful biometrical tools for determination of genetic variability. The success of selection is mainly depends on the amount of genetic variability present in the material. Greater the amount of genetic variability present in the population, greater would be the scope for improvement. The correlation analysis elucidates the intrinsic nature of observed association between yield and its attributes. Keeping these points in view, the present study was planned to derive information which is helpful in soybean improvement programme.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book will helpful to academic, students and researchers to understand presence and magnitude of genetic variability and correlation which is the pre-requisite of any breeding programme. Soybean (Glycine max (L.) Merrill) belongs to th…e legume family, is recognized as golden or miracle bean due to its high nutritive value and various uses viz., for feed, oil and soy food products. It is rich in oil (18-22%), protein (38-42%), lycine and vitamins A, B and D. The Parameters like genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance are useful biometrical tools for determination of genetic variability. The success of selection is mainly depends on the amount of genetic variability present in the material. Greater the amount of genetic variability present in the population, greater would be the scope for improvement. The correlation analysis elucidates the intrinsic nature of observed association between yield and its attributes. Keeping these points in view, the present study was planned to derive information which is helpful in soybean improvement programme.
