Molecular Breeding for Improving Productivity of Oryza sativa L. cv. Pusa 44 under Reproductive Stage Drought Stress through Introgression of a Major QTL, qDTY12.1
Increasing rice production is quintessential to the task of sustaining global food security, as a majority of the global population is dependent on rice as its staple dietary cereal. Among the various constraints affecting rice production, reproductive stage drought stress (RSDS) is a major challeng...
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Veröffentlicht in: | Genes 2021-06, Vol.12 (7), p.967 |
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creator | Oo, Kyaw Swar Krishnan, Subbaiyan Gopala Vinod, Kunnummal Kurungara Dhawan, Gaurav Dwivedi, Priyanka Kumar, Pankaj Bhowmick, Prolay Kumar Pal, Madan Chinnuswamy, Viswanathan Nagarajan, Mariappan Bollinedi, Haritha Ellur, Ranjith Kumar Singh, Ashok Kumar |
description | Increasing rice production is quintessential to the task of sustaining global food security, as a majority of the global population is dependent on rice as its staple dietary cereal. Among the various constraints affecting rice production, reproductive stage drought stress (RSDS) is a major challenge, due to its direct impact on grain yield. Several quantitative trait loci (QTLs) conferring RSDS tolerance have been identified in rice, and
is one of the major QTLs reported. We report the successful introgression of
into Pusa 44, a drought sensitive mega rice variety of the northwestern Indian plains. Marker-assisted backcross breeding (MABB) was adopted to transfer
into Pusa 44 in three backcrosses followed by four generations of pedigree selection, leading to development of improved near isogenic lines (NILs). Having a recurrent parent genome (RPG) recovery ranging from 94.7-98.7%, the improved NILs performed 6.5 times better than Pusa 44 under RSDS, coupled with high yield under normal irrigated conditions. The MABB program has been modified so as to defer background selection until BC
F
to accelerate generational advancements. Deploying phenotypic selection alone in the early backcross generations could help in the successful recovery of RPG. In addition, the grain quality could be recovered in the improved NILs, leading to superior selections. Owing to their improved adaptation to drought, the release of improved NILs for regions prone to intermittent drought can help enhance rice productivity and production. |
doi_str_mv | 10.3390/genes12070967 |
format | Article |
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is one of the major QTLs reported. We report the successful introgression of
into Pusa 44, a drought sensitive mega rice variety of the northwestern Indian plains. Marker-assisted backcross breeding (MABB) was adopted to transfer
into Pusa 44 in three backcrosses followed by four generations of pedigree selection, leading to development of improved near isogenic lines (NILs). Having a recurrent parent genome (RPG) recovery ranging from 94.7-98.7%, the improved NILs performed 6.5 times better than Pusa 44 under RSDS, coupled with high yield under normal irrigated conditions. The MABB program has been modified so as to defer background selection until BC
F
to accelerate generational advancements. Deploying phenotypic selection alone in the early backcross generations could help in the successful recovery of RPG. In addition, the grain quality could be recovered in the improved NILs, leading to superior selections. Owing to their improved adaptation to drought, the release of improved NILs for regions prone to intermittent drought can help enhance rice productivity and production.</description><identifier>ISSN: 2073-4425</identifier><identifier>EISSN: 2073-4425</identifier><identifier>DOI: 10.3390/genes12070967</identifier><identifier>PMID: 34202818</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adaptation, Physiological - genetics ; Agricultural production ; Agricultural research ; Breeding ; Chromosome Mapping ; Chromosomes, Plant - genetics ; Cultivars ; DNA Shuffling ; Drought ; Droughts ; Food security ; Genomes ; Oryza - genetics ; Oryza - growth & development ; Plant Breeding ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Rice ; Seeds</subject><ispartof>Genes, 2021-06, Vol.12 (7), p.967</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-6ebd2202aad180ba88f0bd662f26b64c29961b00c47f3c47bb02ec48540e38163</citedby><cites>FETCH-LOGICAL-c415t-6ebd2202aad180ba88f0bd662f26b64c29961b00c47f3c47bb02ec48540e38163</cites><orcidid>0000-0003-1976-3748 ; 0000-0001-8927-4590</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303740/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303740/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34202818$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oo, Kyaw Swar</creatorcontrib><creatorcontrib>Krishnan, Subbaiyan Gopala</creatorcontrib><creatorcontrib>Vinod, Kunnummal Kurungara</creatorcontrib><creatorcontrib>Dhawan, Gaurav</creatorcontrib><creatorcontrib>Dwivedi, Priyanka</creatorcontrib><creatorcontrib>Kumar, Pankaj</creatorcontrib><creatorcontrib>Bhowmick, Prolay Kumar</creatorcontrib><creatorcontrib>Pal, Madan</creatorcontrib><creatorcontrib>Chinnuswamy, Viswanathan</creatorcontrib><creatorcontrib>Nagarajan, Mariappan</creatorcontrib><creatorcontrib>Bollinedi, Haritha</creatorcontrib><creatorcontrib>Ellur, Ranjith Kumar</creatorcontrib><creatorcontrib>Singh, Ashok Kumar</creatorcontrib><title>Molecular Breeding for Improving Productivity of Oryza sativa L. cv. Pusa 44 under Reproductive Stage Drought Stress through Introgression of a Major QTL, qDTY12.1</title><title>Genes</title><addtitle>Genes (Basel)</addtitle><description>Increasing rice production is quintessential to the task of sustaining global food security, as a majority of the global population is dependent on rice as its staple dietary cereal. Among the various constraints affecting rice production, reproductive stage drought stress (RSDS) is a major challenge, due to its direct impact on grain yield. Several quantitative trait loci (QTLs) conferring RSDS tolerance have been identified in rice, and
is one of the major QTLs reported. We report the successful introgression of
into Pusa 44, a drought sensitive mega rice variety of the northwestern Indian plains. Marker-assisted backcross breeding (MABB) was adopted to transfer
into Pusa 44 in three backcrosses followed by four generations of pedigree selection, leading to development of improved near isogenic lines (NILs). Having a recurrent parent genome (RPG) recovery ranging from 94.7-98.7%, the improved NILs performed 6.5 times better than Pusa 44 under RSDS, coupled with high yield under normal irrigated conditions. The MABB program has been modified so as to defer background selection until BC
F
to accelerate generational advancements. Deploying phenotypic selection alone in the early backcross generations could help in the successful recovery of RPG. In addition, the grain quality could be recovered in the improved NILs, leading to superior selections. Owing to their improved adaptation to drought, the release of improved NILs for regions prone to intermittent drought can help enhance rice productivity and production.</description><subject>Adaptation, Physiological - genetics</subject><subject>Agricultural production</subject><subject>Agricultural research</subject><subject>Breeding</subject><subject>Chromosome Mapping</subject><subject>Chromosomes, Plant - genetics</subject><subject>Cultivars</subject><subject>DNA Shuffling</subject><subject>Drought</subject><subject>Droughts</subject><subject>Food security</subject><subject>Genomes</subject><subject>Oryza - genetics</subject><subject>Oryza - growth & development</subject><subject>Plant Breeding</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Rice</subject><subject>Seeds</subject><issn>2073-4425</issn><issn>2073-4425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdUk1v1DAQtRCIVqVHrsgSFw5kGX_E61yQoOVjpa1aYDlwihxnks0qG2_teKXl7_BHceiHWnyw542f38yTh5CXDGZCFPCuxQED4zCHQs2fkOMUiUxKnj99EB-R0xA2kJYEDpA_J0dCcuCa6WPy58L1aGNvPP3oEetuaGnjPF1sd97tJ3TlXR3t2O278UBdQy_94behwaSMocsZtfsZvYrBUClpHGr09Dvu7t4g_TGaFum5d7Fdjwl5DIGO63-YLobRu3ZKdW6YxA29MJtU_ttq-ZZen69-MT5jL8izxvQBT2_PE_Lz86fV2ddsefllcfZhmVnJ8jFTWNU8-TKmZhoqo3UDVa0Ub7iqlLS8KBSrAKycNyJtVQUcrdS5BBSaKXFC3t_o7mK1xdpi6s705c53W-MPpTNd-fhm6NZl6_alFiDmEpLAm1sB764jhrHcdsFi35sBXQwlz6WWTEiYar3-j7px0Q_JXmLlMudaqSKxshuW9S4Ej819MwzKaQLKRxOQ-K8eOrhn3_23-Atz4K1k</recordid><startdate>20210624</startdate><enddate>20210624</enddate><creator>Oo, Kyaw Swar</creator><creator>Krishnan, Subbaiyan Gopala</creator><creator>Vinod, Kunnummal Kurungara</creator><creator>Dhawan, Gaurav</creator><creator>Dwivedi, Priyanka</creator><creator>Kumar, Pankaj</creator><creator>Bhowmick, Prolay Kumar</creator><creator>Pal, Madan</creator><creator>Chinnuswamy, Viswanathan</creator><creator>Nagarajan, Mariappan</creator><creator>Bollinedi, Haritha</creator><creator>Ellur, Ranjith Kumar</creator><creator>Singh, Ashok Kumar</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1976-3748</orcidid><orcidid>https://orcid.org/0000-0001-8927-4590</orcidid></search><sort><creationdate>20210624</creationdate><title>Molecular Breeding for Improving Productivity of Oryza sativa L. cv. 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Pusa 44 under Reproductive Stage Drought Stress through Introgression of a Major QTL, qDTY12.1</atitle><jtitle>Genes</jtitle><addtitle>Genes (Basel)</addtitle><date>2021-06-24</date><risdate>2021</risdate><volume>12</volume><issue>7</issue><spage>967</spage><pages>967-</pages><issn>2073-4425</issn><eissn>2073-4425</eissn><abstract>Increasing rice production is quintessential to the task of sustaining global food security, as a majority of the global population is dependent on rice as its staple dietary cereal. Among the various constraints affecting rice production, reproductive stage drought stress (RSDS) is a major challenge, due to its direct impact on grain yield. Several quantitative trait loci (QTLs) conferring RSDS tolerance have been identified in rice, and
is one of the major QTLs reported. We report the successful introgression of
into Pusa 44, a drought sensitive mega rice variety of the northwestern Indian plains. Marker-assisted backcross breeding (MABB) was adopted to transfer
into Pusa 44 in three backcrosses followed by four generations of pedigree selection, leading to development of improved near isogenic lines (NILs). Having a recurrent parent genome (RPG) recovery ranging from 94.7-98.7%, the improved NILs performed 6.5 times better than Pusa 44 under RSDS, coupled with high yield under normal irrigated conditions. The MABB program has been modified so as to defer background selection until BC
F
to accelerate generational advancements. Deploying phenotypic selection alone in the early backcross generations could help in the successful recovery of RPG. In addition, the grain quality could be recovered in the improved NILs, leading to superior selections. Owing to their improved adaptation to drought, the release of improved NILs for regions prone to intermittent drought can help enhance rice productivity and production.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>34202818</pmid><doi>10.3390/genes12070967</doi><orcidid>https://orcid.org/0000-0003-1976-3748</orcidid><orcidid>https://orcid.org/0000-0001-8927-4590</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation, Physiological - genetics Agricultural production Agricultural research Breeding Chromosome Mapping Chromosomes, Plant - genetics Cultivars DNA Shuffling Drought Droughts Food security Genomes Oryza - genetics Oryza - growth & development Plant Breeding Quantitative trait loci Quantitative Trait Loci - genetics Rice Seeds |
title | Molecular Breeding for Improving Productivity of Oryza sativa L. cv. Pusa 44 under Reproductive Stage Drought Stress through Introgression of a Major QTL, qDTY12.1 |
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