Isbn: 9783330021921 - Diversity and Association Analysis for Yield Related Traits in Soybean (6 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330021926 / 9783330021921

    • Softcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback. Condition: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2017

    3330021926 / 9783330021921

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330021926 / 9783330021921

    • Softcover

    Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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    paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Language: English

    Published by LAP LAMBERT Academic Publishing Dez 2016, 2016

    3330021926 / 9783330021921

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330021926 / 9783330021921

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    Condition: 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 Agricultural University, Ludhiana.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Dez 2016, 2016

    3330021926 / 9783330021921

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: 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 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.…