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Generation Mean Analysis in Rice (Oryza sativa L.) - Anil Kumar - Bog

Generation Mean Analysis in Rice (Oryza sativa L.)af Anil Kumar
Bag om Generation Mean Analysis in Rice (Oryza sativa L.)

The book Generation Mean Analysis in Rice will be helpful for Geneticists or Breeders working in rice research especially fulfilling the needs of all those who are engaged in study of genetics and plant breeding. This book also caters to all those who are involved in teaching, research and extension activities related cultivation of this crop as this book beautifully describes the actual field and laboratory data, stepwise presentation of all computational procedures including biometrical techniques, simple and joint scaling tests for the detection of non- allelic interaction, suitability of the simple additive-dominance and digenic models for the estimation of genetic components of variation, gene action for grain yield, its components, quality traits, and heterosis in rice thereby increasing its practical utility. All the chapters are well written and adequately explained.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786139878512
  • Indbinding:
  • Paperback
  • Sideantal:
  • 156
  • Udgivet:
  • 18. juli 2018
  • Størrelse:
  • 150x10x220 mm.
  • Vægt:
  • 250 g.
  • 2-3 uger.
  • 16. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Generation Mean Analysis in Rice (Oryza sativa L.)

The book Generation Mean Analysis in Rice will be helpful for Geneticists or Breeders working in rice research especially fulfilling the needs of all those who are engaged in study of genetics and plant breeding. This book also caters to all those who are involved in teaching, research and extension activities related cultivation of this crop as this book beautifully describes the actual field and laboratory data, stepwise presentation of all computational procedures including biometrical techniques, simple and joint scaling tests for the detection of non- allelic interaction, suitability of the simple additive-dominance and digenic models for the estimation of genetic components of variation, gene action for grain yield, its components, quality traits, and heterosis in rice thereby increasing its practical utility. All the chapters are well written and adequately explained.

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