Diversity and Association Analysis for Yield Related Traits in Soybean
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| Preise | Feb. 17 | März 19 | Sep. 19 |
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1
Diversity and Association Analysis for Yield Related Traits in Soybean
DE HC NWISBN: 9783330021921 bzw. 3330021926, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
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 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. Lieferzeit 1-2 Werktage.
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 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. Lieferzeit 1-2 Werktage.
2
Diversity and Association Analysis for Yield Related Traits in Soybean
DE NWISBN: 9783330021921 bzw. 3330021926, in Deutsch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
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.
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.
3
Diversity and Association Analysis for Yield Related Traits in Soybean
DE PB NWISBN: 9783330021921 bzw. 3330021926, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Diversity and Association Analysis for Yield Related Traits in Soybean: 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. Englisch, Taschenbuch.
Diversity and Association Analysis for Yield Related Traits in Soybean: 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. Englisch, Taschenbuch.
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