The Wild Oryza Genomes

Nonfiction, Science & Nature, Science, Biological Sciences, Botany, Technology, Agriculture & Animal Husbandry
Cover of the book The Wild Oryza Genomes by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319719979
Publisher: Springer International Publishing Publication: February 15, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319719979
Publisher: Springer International Publishing
Publication: February 15, 2018
Imprint: Springer
Language: English

This book focuses on the latest genome sequencing of the 25 wild Oryza species, public and private genomic resources, and their impact on genetic improvement research. It also addresses the untapped reservoir of agronomically important traits in wild Oryza species. Rice is a model crop plant that is frequently used to address several basic questions in plant biology, yet its wild relatives offer an untapped source of agronomically important alleles that are absent in the rice gene pool. 

The genus Oryza is extremely diverse, as indicated by a wide range of chromosome numbers, different ploidy levels and genome sizes. After a 13-year gap from the first sequencing of rice in the 2002, the genomes of 11 wild Oryza species have now been sequenced and more will follow. These vast genomic resources are extremely useful for addressing several basic questions on the origin of the genus, evolutionary relationships between the species, domestication, and environmental adaptation, and also help to substantiate molecular breeding and pre-breeding work to introgress useful characters horizontally from wild species into cultivated rice.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book focuses on the latest genome sequencing of the 25 wild Oryza species, public and private genomic resources, and their impact on genetic improvement research. It also addresses the untapped reservoir of agronomically important traits in wild Oryza species. Rice is a model crop plant that is frequently used to address several basic questions in plant biology, yet its wild relatives offer an untapped source of agronomically important alleles that are absent in the rice gene pool. 

The genus Oryza is extremely diverse, as indicated by a wide range of chromosome numbers, different ploidy levels and genome sizes. After a 13-year gap from the first sequencing of rice in the 2002, the genomes of 11 wild Oryza species have now been sequenced and more will follow. These vast genomic resources are extremely useful for addressing several basic questions on the origin of the genus, evolutionary relationships between the species, domestication, and environmental adaptation, and also help to substantiate molecular breeding and pre-breeding work to introgress useful characters horizontally from wild species into cultivated rice.

More books from Springer International Publishing

Cover of the book Mapping Transition in the Pamirs by
Cover of the book Fidelity of Implementation in Assessment of Infants and Toddlers by
Cover of the book Crop Production and Global Environmental Issues by
Cover of the book Wikipedia, Work and Capitalism by
Cover of the book Mobility Analytics for Spatio-Temporal and Social Data by
Cover of the book Jonathan Dean by
Cover of the book Simulation and Modeling Methodologies, Technologies and Applications by
Cover of the book The Common Bean Genome by
Cover of the book Codification in International Perspective by
Cover of the book Neurological Disorders in the Arab World by
Cover of the book The Social Metabolism by
Cover of the book Practical Manual of Tricuspid Valve Diseases by
Cover of the book Analytical Family Demography by
Cover of the book Intelligent Network Integration of Distributed Renewable Generation by
Cover of the book Probing Galaxy Evolution by Unveiling the Structure of Massive Galaxies Across Cosmic Time and in Diverse Environments by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy