Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India
Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has...
Gespeichert in:
Veröffentlicht in: | Rice (New York, N.Y.) N.Y.), 2016-12, Vol.9 (1), p.1-1, Article 1 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1 |
---|---|
container_issue | 1 |
container_start_page | 1 |
container_title | Rice (New York, N.Y.) |
container_volume | 9 |
creator | Agarwal, Pinky Parida, Swarup K. Raghuvanshi, Saurabh Kapoor, Sanjay Khurana, Paramjit Khurana, Jitendra P. Tyagi, Akhilesh K. |
description | Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has provided a rich resource to mine information about diversity of genes and alleles which can contribute to improvement of useful agronomic traits. Defining the function of each gene and regulatory element of rice remains a challenge for the rice community in the coming years. Subsequent to participation in IRGSP, India has continued to contribute in the areas of diversity analysis, transcriptomics, functional genomics, marker development, QTL mapping and molecular breeding, through national and multi-national research programs. These efforts have helped generate resources for rice improvement, some of which have already been deployed to mitigate loss due to environmental stress and pathogens. With renewed efforts, Indian researchers are making new strides, along with the international scientific community, in both basic research and realization of its translational impact. |
doi_str_mv | 10.1186/s12284-015-0073-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4705060</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1760887292</sourcerecordid><originalsourceid>FETCH-LOGICAL-c536t-ab45be8d528a656a1e1c3bc59d71211e348d2adf1870aa6e50d197009fe663693</originalsourceid><addsrcrecordid>eNqNkk1rVDEUhoMotlZ_gBsJuOnmar4_NkJbbB2oCFIXrkLm5sxMyr3JmMwt9N-by9ShCkI3SeC8eQ7nPS9Cbyn5QKlRHytlzIiOUNkRonnHnqFjarntjOD8-eHN5BF6VestIYozaV-iI6a04FrZY_Tze-wBL8ZtyXcwQtrhm03J03qDryDlEbpzXyHgyyn1u5iTH_BZO-5rrNingL_mAfpp8AWfF4AQ0xrHhBcpRP8avVj5ocKbh_sE_bj8fHPxpbv-drW4OLvuesnVrvNLIZdggmTGK6k8BdrzZS9t0JRRClyYwHxYUaOJ9wokCdRqQuwKlOLK8hP0ac_dTssRQt9mKH5w2xJHX-5d9tH9XUlx49b5zglNJFGkAU4fACX_mqDu3BhrD8PgE-Sputa5udz8Nk-QCsWppvIJVK2IaWTLmvT9P9LbPJVm86ySQlhjzAyke1Vfcq0FVocRKXFzHNw-Dq7Fwc1xcDP53WNvDj_-7L8J2F5QWymtoTxq_V_qb1kZvxo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1754498880</pqid></control><display><type>article</type><title>Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>SpringerLink Journals - AutoHoldings</source><source>PubMed Central Open Access</source><source>Springer Nature OA Free Journals</source><creator>Agarwal, Pinky ; Parida, Swarup K. ; Raghuvanshi, Saurabh ; Kapoor, Sanjay ; Khurana, Paramjit ; Khurana, Jitendra P. ; Tyagi, Akhilesh K.</creator><creatorcontrib>Agarwal, Pinky ; Parida, Swarup K. ; Raghuvanshi, Saurabh ; Kapoor, Sanjay ; Khurana, Paramjit ; Khurana, Jitendra P. ; Tyagi, Akhilesh K.</creatorcontrib><description>Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has provided a rich resource to mine information about diversity of genes and alleles which can contribute to improvement of useful agronomic traits. Defining the function of each gene and regulatory element of rice remains a challenge for the rice community in the coming years. Subsequent to participation in IRGSP, India has continued to contribute in the areas of diversity analysis, transcriptomics, functional genomics, marker development, QTL mapping and molecular breeding, through national and multi-national research programs. These efforts have helped generate resources for rice improvement, some of which have already been deployed to mitigate loss due to environmental stress and pathogens. With renewed efforts, Indian researchers are making new strides, along with the international scientific community, in both basic research and realization of its translational impact.</description><identifier>ISSN: 1939-8425</identifier><identifier>EISSN: 1939-8433</identifier><identifier>EISSN: 1934-8037</identifier><identifier>DOI: 10.1186/s12284-015-0073-2</identifier><identifier>PMID: 26743769</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Agriculture ; agronomic traits ; alleles ; Biomedical and Life Sciences ; chromosome mapping ; energy ; food security ; Genetic diversity ; Genetic markers ; Genomes ; genomics ; India ; Life Sciences ; nucleotide sequences ; pathogens ; Plant Breeding/Biotechnology ; Plant Ecology ; Plant Genetics and Genomics ; Plant Sciences ; quantitative trait loci ; research programs ; Review ; Rice ; sustainable agriculture ; Transcription factors ; transcriptomics</subject><ispartof>Rice (New York, N.Y.), 2016-12, Vol.9 (1), p.1-1, Article 1</ispartof><rights>Agarwal et al. 2016</rights><rights>The Author(s) 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-ab45be8d528a656a1e1c3bc59d71211e348d2adf1870aa6e50d197009fe663693</citedby><cites>FETCH-LOGICAL-c536t-ab45be8d528a656a1e1c3bc59d71211e348d2adf1870aa6e50d197009fe663693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705060/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705060/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,313,314,723,776,780,788,860,881,27899,27901,27902,41096,41464,42165,42533,51294,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26743769$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Agarwal, Pinky</creatorcontrib><creatorcontrib>Parida, Swarup K.</creatorcontrib><creatorcontrib>Raghuvanshi, Saurabh</creatorcontrib><creatorcontrib>Kapoor, Sanjay</creatorcontrib><creatorcontrib>Khurana, Paramjit</creatorcontrib><creatorcontrib>Khurana, Jitendra P.</creatorcontrib><creatorcontrib>Tyagi, Akhilesh K.</creatorcontrib><title>Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India</title><title>Rice (New York, N.Y.)</title><addtitle>Rice</addtitle><addtitle>Rice (N Y)</addtitle><description>Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has provided a rich resource to mine information about diversity of genes and alleles which can contribute to improvement of useful agronomic traits. Defining the function of each gene and regulatory element of rice remains a challenge for the rice community in the coming years. Subsequent to participation in IRGSP, India has continued to contribute in the areas of diversity analysis, transcriptomics, functional genomics, marker development, QTL mapping and molecular breeding, through national and multi-national research programs. These efforts have helped generate resources for rice improvement, some of which have already been deployed to mitigate loss due to environmental stress and pathogens. With renewed efforts, Indian researchers are making new strides, along with the international scientific community, in both basic research and realization of its translational impact.</description><subject>Agriculture</subject><subject>agronomic traits</subject><subject>alleles</subject><subject>Biomedical and Life Sciences</subject><subject>chromosome mapping</subject><subject>energy</subject><subject>food security</subject><subject>Genetic diversity</subject><subject>Genetic markers</subject><subject>Genomes</subject><subject>genomics</subject><subject>India</subject><subject>Life Sciences</subject><subject>nucleotide sequences</subject><subject>pathogens</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant Ecology</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Sciences</subject><subject>quantitative trait loci</subject><subject>research programs</subject><subject>Review</subject><subject>Rice</subject><subject>sustainable agriculture</subject><subject>Transcription factors</subject><subject>transcriptomics</subject><issn>1939-8425</issn><issn>1939-8433</issn><issn>1934-8037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkk1rVDEUhoMotlZ_gBsJuOnmar4_NkJbbB2oCFIXrkLm5sxMyr3JmMwt9N-by9ShCkI3SeC8eQ7nPS9Cbyn5QKlRHytlzIiOUNkRonnHnqFjarntjOD8-eHN5BF6VestIYozaV-iI6a04FrZY_Tze-wBL8ZtyXcwQtrhm03J03qDryDlEbpzXyHgyyn1u5iTH_BZO-5rrNingL_mAfpp8AWfF4AQ0xrHhBcpRP8avVj5ocKbh_sE_bj8fHPxpbv-drW4OLvuesnVrvNLIZdggmTGK6k8BdrzZS9t0JRRClyYwHxYUaOJ9wokCdRqQuwKlOLK8hP0ac_dTssRQt9mKH5w2xJHX-5d9tH9XUlx49b5zglNJFGkAU4fACX_mqDu3BhrD8PgE-Sputa5udz8Nk-QCsWppvIJVK2IaWTLmvT9P9LbPJVm86ySQlhjzAyke1Vfcq0FVocRKXFzHNw-Dq7Fwc1xcDP53WNvDj_-7L8J2F5QWymtoTxq_V_qb1kZvxo</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Agarwal, Pinky</creator><creator>Parida, Swarup K.</creator><creator>Raghuvanshi, Saurabh</creator><creator>Kapoor, Sanjay</creator><creator>Khurana, Paramjit</creator><creator>Khurana, Jitendra P.</creator><creator>Tyagi, Akhilesh K.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>20161201</creationdate><title>Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India</title><author>Agarwal, Pinky ; Parida, Swarup K. ; Raghuvanshi, Saurabh ; Kapoor, Sanjay ; Khurana, Paramjit ; Khurana, Jitendra P. ; Tyagi, Akhilesh K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-ab45be8d528a656a1e1c3bc59d71211e348d2adf1870aa6e50d197009fe663693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Agriculture</topic><topic>agronomic traits</topic><topic>alleles</topic><topic>Biomedical and Life Sciences</topic><topic>chromosome mapping</topic><topic>energy</topic><topic>food security</topic><topic>Genetic diversity</topic><topic>Genetic markers</topic><topic>Genomes</topic><topic>genomics</topic><topic>India</topic><topic>Life Sciences</topic><topic>nucleotide sequences</topic><topic>pathogens</topic><topic>Plant Breeding/Biotechnology</topic><topic>Plant Ecology</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Sciences</topic><topic>quantitative trait loci</topic><topic>research programs</topic><topic>Review</topic><topic>Rice</topic><topic>sustainable agriculture</topic><topic>Transcription factors</topic><topic>transcriptomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Agarwal, Pinky</creatorcontrib><creatorcontrib>Parida, Swarup K.</creatorcontrib><creatorcontrib>Raghuvanshi, Saurabh</creatorcontrib><creatorcontrib>Kapoor, Sanjay</creatorcontrib><creatorcontrib>Khurana, Paramjit</creatorcontrib><creatorcontrib>Khurana, Jitendra P.</creatorcontrib><creatorcontrib>Tyagi, Akhilesh K.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Rice (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Agarwal, Pinky</au><au>Parida, Swarup K.</au><au>Raghuvanshi, Saurabh</au><au>Kapoor, Sanjay</au><au>Khurana, Paramjit</au><au>Khurana, Jitendra P.</au><au>Tyagi, Akhilesh K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India</atitle><jtitle>Rice (New York, N.Y.)</jtitle><stitle>Rice</stitle><addtitle>Rice (N Y)</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>9</volume><issue>1</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><artnum>1</artnum><issn>1939-8425</issn><eissn>1939-8433</eissn><eissn>1934-8037</eissn><abstract>Rice is one of the main pillars of food security in India. Its improvement for higher yield in sustainable agriculture system is also vital to provide energy and nutritional needs of growing world population, expected to reach more than 9 billion by 2050. The high quality genome sequence of rice has provided a rich resource to mine information about diversity of genes and alleles which can contribute to improvement of useful agronomic traits. Defining the function of each gene and regulatory element of rice remains a challenge for the rice community in the coming years. Subsequent to participation in IRGSP, India has continued to contribute in the areas of diversity analysis, transcriptomics, functional genomics, marker development, QTL mapping and molecular breeding, through national and multi-national research programs. These efforts have helped generate resources for rice improvement, some of which have already been deployed to mitigate loss due to environmental stress and pathogens. With renewed efforts, Indian researchers are making new strides, along with the international scientific community, in both basic research and realization of its translational impact.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26743769</pmid><doi>10.1186/s12284-015-0073-2</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1939-8425 |
ispartof | Rice (New York, N.Y.), 2016-12, Vol.9 (1), p.1-1, Article 1 |
issn | 1939-8425 1939-8433 1934-8037 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4705060 |
source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; SpringerLink Journals - AutoHoldings; PubMed Central Open Access; Springer Nature OA Free Journals |
subjects | Agriculture agronomic traits alleles Biomedical and Life Sciences chromosome mapping energy food security Genetic diversity Genetic markers Genomes genomics India Life Sciences nucleotide sequences pathogens Plant Breeding/Biotechnology Plant Ecology Plant Genetics and Genomics Plant Sciences quantitative trait loci research programs Review Rice sustainable agriculture Transcription factors transcriptomics |
title | Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T19%3A56%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rice%20Improvement%20Through%20Genome-Based%20Functional%20Analysis%20and%20Molecular%20Breeding%20in%20India&rft.jtitle=Rice%20(New%20York,%20N.Y.)&rft.au=Agarwal,%20Pinky&rft.date=2016-12-01&rft.volume=9&rft.issue=1&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.artnum=1&rft.issn=1939-8425&rft.eissn=1939-8433&rft_id=info:doi/10.1186/s12284-015-0073-2&rft_dat=%3Cproquest_pubme%3E1760887292%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1754498880&rft_id=info:pmid/26743769&rfr_iscdi=true |