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Molecular Plant Breeding Walter Suza

By: Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: Ames, IA Iowa State University Digital PressDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • QH301
  • QH308.2
Online resources:
Contents:
About the PBEA Series -- Molecular Plant Breeding Concepts -- Markers and Sequencing -- Modeling and Data Simulation -- Data Management and Quality Control -- Cluster Analysis, Association, and QTL Mapping -- Marker Assisted Backcrossing -- Genome Construction -- Marker Based Management of Plant Genetic Resources -- Biotechnological Tools for Broadening Genetic Variation -- Modern Tools for Line Development and Predicting Hybrid Performance -- Genomic Tools for Variety Registration and Protection -- Introduction to Bioinformatics -- Comparative Mapping and Genomics -- Applied Learning Activities -- Contributors
Subject: This book focuses on genomics and plant biotechnology approaches used in plant breeding, the analysis of genomic data, and their application in quality control measures. The application of alternative genomic technologies to enhance conventional breeding strategies is also presented.
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About the PBEA Series -- Molecular Plant Breeding Concepts -- Markers and Sequencing -- Modeling and Data Simulation -- Data Management and Quality Control -- Cluster Analysis, Association, and QTL Mapping -- Marker Assisted Backcrossing -- Genome Construction -- Marker Based Management of Plant Genetic Resources -- Biotechnological Tools for Broadening Genetic Variation -- Modern Tools for Line Development and Predicting Hybrid Performance -- Genomic Tools for Variety Registration and Protection -- Introduction to Bioinformatics -- Comparative Mapping and Genomics -- Applied Learning Activities -- Contributors

This book focuses on genomics and plant biotechnology approaches used in plant breeding, the analysis of genomic data, and their application in quality control measures. The application of alternative genomic technologies to enhance conventional breeding strategies is also presented.

Attribution-NonCommercial

In English.

Description based on print resource

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