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Rajeev K. (Hrsg.) Varshney

Genomic Selection for Crop Improvement

New Molecular Breeding Strategies for Crop Improvement

Ebook (PDF Format)

Genomic Selection for Crop Improvement serves as handbook for users by providing basic as well as advanced understandings of genomic selection. This useful review  explains germplasm use, phenotyping evaluation, marker genotyping methods, and statistical models involved in genomic selection. It also includes examples of ongoing activities of genomic selection for crop improvement and efforts initiated to deploy the genomic selection in some important crops. In order to understand the potential of GS breeding, it is high time to bring complete information in the form of a book that can serve as a ready reference for geneticist and plant breede… Mehr

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Produktdetails


Weitere Autoren: Roorkiwal, Manish (Hrsg.) / Sorrells, Mark E. (Hrsg.)
  • ISBN: 978-3-319-63170-7
  • EAN: 9783319631707
  • Produktnummer: 25160794
  • Verlag: Springer
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Plattform: PDF
  • Masse: 4'358 KB

Über den Autor


Rajeev K. Varshney is a Global Research Program Director for Genetics Gains at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) and Wintrhop Research Professor at the University of Western Australia. For the last 20 years, he has been engaged in translating genomic information in international agriculture through genomics-assisted breeding, especially in grain legume crops. Manish Roorkiwal is a scientist at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). He is working on developing and deploying forward breeding approaches such as genomic selection for legume improvement. Mark E. Sorrells is Professor of Plant Breeding and Genetics with 40 years of research experience in crop improvement. He is a Fellow at the Atkinson Center for a Sustainable Future and Fellow at the Cornell Institute for Food Systems. He is a pioneer and practitioner in optimising and deploying modern breeding approaches, including genomic selection in wheat improvement.

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