Diversity and Association Analysis for Yield Related Traits in Soybean

Language: English

Published by LAP LAMBERT Academic Publishing Dez 2016, 2016

3330021926 / 9783330021921

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

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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.

Seller Inventory # 9783330021921

Title
Diversity and Association Analysis for Yield Related Traits in Soybean
Author
Varun Kumar Badaya
Publisher
LAP LAMBERT Academic Publishing Dez 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330021926
ISBN 13
9783330021921
Item weight
233 grams
Dimensions
220x150x9 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany