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Diversity and Association Analysis for Yield Related Traits in Soybean - Couverture souple

Badaya, Varun Kumar; Gill, B. S.

 
9783330021921: Diversity and Association Analysis for Yield Related Traits in Soybean
Couverture souple
ISBN 10 : 3330021926 ISBN 13 : 9783330021921
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Mr. 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, Punjab (India). He is currently pursuing his Ph.D. in Plant Breeding and Genetics from RCA, MPUA&T, Udaipur, Rajasthan (India).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3330021926
ISBN 13 
9783330021921
Reliure
Broché
Nombre de pages
144
Coordonnées du fabricant
non disponible
Personne responsable
non disponible