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Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding

Next generation sequencing (NGS) technologies are being used to generate whole genome sequences for a wide range of crop species. When combined with precise phenotyping methods, these technologies provide a powerful and rapid tool for identifying the genetic basis of agriculturally important traits...

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Detalles Bibliográficos
Autores principales: Varshney, Rajeev K., Terauchi, Ryohei, McCouch, Susan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051599/
https://www.ncbi.nlm.nih.gov/pubmed/24914810
http://dx.doi.org/10.1371/journal.pbio.1001883
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author Varshney, Rajeev K.
Terauchi, Ryohei
McCouch, Susan R.
author_facet Varshney, Rajeev K.
Terauchi, Ryohei
McCouch, Susan R.
author_sort Varshney, Rajeev K.
collection PubMed
description Next generation sequencing (NGS) technologies are being used to generate whole genome sequences for a wide range of crop species. When combined with precise phenotyping methods, these technologies provide a powerful and rapid tool for identifying the genetic basis of agriculturally important traits and for predicting the breeding value of individuals in a plant breeding population. Here we summarize current trends and future prospects for utilizing NGS-based technologies to develop crops with improved trait performance and increase the efficiency of modern plant breeding. It is our hope that the application of NGS technologies to plant breeding will help us to meet the challenge of feeding a growing world population.
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spelling pubmed-40515992014-06-18 Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding Varshney, Rajeev K. Terauchi, Ryohei McCouch, Susan R. PLoS Biol Essay Next generation sequencing (NGS) technologies are being used to generate whole genome sequences for a wide range of crop species. When combined with precise phenotyping methods, these technologies provide a powerful and rapid tool for identifying the genetic basis of agriculturally important traits and for predicting the breeding value of individuals in a plant breeding population. Here we summarize current trends and future prospects for utilizing NGS-based technologies to develop crops with improved trait performance and increase the efficiency of modern plant breeding. It is our hope that the application of NGS technologies to plant breeding will help us to meet the challenge of feeding a growing world population. Public Library of Science 2014-06-10 /pmc/articles/PMC4051599/ /pubmed/24914810 http://dx.doi.org/10.1371/journal.pbio.1001883 Text en © 2014 Varshney et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Essay
Varshney, Rajeev K.
Terauchi, Ryohei
McCouch, Susan R.
Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding
title Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding
title_full Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding
title_fullStr Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding
title_full_unstemmed Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding
title_short Harvesting the Promising Fruits of Genomics: Applying Genome Sequencing Technologies to Crop Breeding
title_sort harvesting the promising fruits of genomics: applying genome sequencing technologies to crop breeding
topic Essay
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051599/
https://www.ncbi.nlm.nih.gov/pubmed/24914810
http://dx.doi.org/10.1371/journal.pbio.1001883
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