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GENERATION MEAN ANALYSIS FOR YIELD, ITS COMPONENTS FOR PROTEIN CONTENT IN RICE (Oryza sativa L.)
Details
Rice is one of the most crucial food crops in the world, its demand can only be met by maintaining steady increase in production over the years. The knowledge of the nature of gene action helps in the development of high yielding varieties with enhanced nutrients considered for further increasing the production and productivity of rice for not only ensuring food security but also nutritional security.The system of breeding that can be employed for exploiting any character depends upon the type of gene action involved for its expression. The type and magnitude of gene effects differed for different characters in the same cross and for the same character in different crosses, which necessitates specific handling of individual cross in segregating generations. In the present investigation, non-allelic (epistasis) interaction played pertinent role in determination of various characters which are studied. Thus, breeding methods involving high volume crossing like biparental and diallel selective mating systems that take care of additive and non-additive gene action seemed more promising for the improvement of various characters studied in the present investigation.
Autorentext
Soy Akash Gaurav Singh. Me licencié en la UAS, Dharwad, Karnataka a través del ICAR y completé mi máster en genética y mejora vegetal en la SKRAU, Bikaner a través del JRF. Obtuve mi doctorado en la NAU, Navsari.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 192
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 304g
- Autor Akash Gaurav Singh , Patel Hardik
- Titel GENERATION MEAN ANALYSIS FOR YIELD, ITS COMPONENTS FOR PROTEIN CONTENT IN RICE (Oryza sativa L.)
- Veröffentlichung 17.03.2021
- ISBN 6203472476
- Format Kartonierter Einband
- EAN 9786203472479
- Jahr 2021
- Größe H220mm x B150mm x T12mm
- GTIN 09786203472479