Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS
Background Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating exce...
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| Veröffentlicht in: | BMC plant biology 2021-11, Vol.21 (1), p.542-542, Article 542 |
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| creator | Li, Caijing Liu, Jindong Bian, Jianxin Jin, Tao Zou, Baoli Liu, Shilei Zhang, Xiangyu Wang, Peng Tan, Jingai Wu, Guangliang Chen, Qin Wang, Yanning Zhong, Qi Huang, Shiying Yang, Mengmeng Huang, Tao He, Haohua Bian, Jianmin |
| description | Background Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there have been limited studies focusing on cold tolerance at the bud burst stage; therefore, considerable attention should be given to the genetic basis of cold tolerance at this stage. Results In this study, a natural population consisting of 211 rice landraces collected from 15 provinces in China and other countries was used for the first time to evaluate cold tolerance at the bud burst stage. Population structure analysis showed that this population was divided into two groups and was rich in genetic diversity. Our evaluation results confirmed that japonica rice was more tolerant to cold at the bud burst stage than indica rice. A genome-wide association study (GWAS) was performed with the phenotypic data of 211 rice landraces and a 36,727 SNP dataset under a mixed linear model. Twelve QTLs (P < 0.0001) were identified for the seedling survival rate (SR) after treatment at 4 degrees C, in which there were five QTLs (qSR2-2, qSR3-1, qSR3-2, qSR3-3 and qSR9) that were colocalized with those from previous studies and seven QTLs (qSR2-1, qSR3-4, qSR3-5, qSR3-6, qSR3-7, qSR4 and qSR7) that were reported for the first time. Among these QTLs, qSR9, harboring the most significant SNP, explained the most phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were identified as candidates for qSR9. Conclusion This natural population consisting of 211 rice landraces combined with high-density SNPs will serve as a better choice for identifying rice QTLs/genes in the future, and the detected QTLs associated with cold tolerance at the bud burst stage in rice will be conducive to further mining favorable genes and breeding rice varieties under cold stress. |
| doi_str_mv | 10.1186/s12870-021-03317-7 |
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Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there have been limited studies focusing on cold tolerance at the bud burst stage; therefore, considerable attention should be given to the genetic basis of cold tolerance at this stage. Results In this study, a natural population consisting of 211 rice landraces collected from 15 provinces in China and other countries was used for the first time to evaluate cold tolerance at the bud burst stage. Population structure analysis showed that this population was divided into two groups and was rich in genetic diversity. Our evaluation results confirmed that japonica rice was more tolerant to cold at the bud burst stage than indica rice. A genome-wide association study (GWAS) was performed with the phenotypic data of 211 rice landraces and a 36,727 SNP dataset under a mixed linear model. Twelve QTLs (P < 0.0001) were identified for the seedling survival rate (SR) after treatment at 4 degrees C, in which there were five QTLs (qSR2-2, qSR3-1, qSR3-2, qSR3-3 and qSR9) that were colocalized with those from previous studies and seven QTLs (qSR2-1, qSR3-4, qSR3-5, qSR3-6, qSR3-7, qSR4 and qSR7) that were reported for the first time. Among these QTLs, qSR9, harboring the most significant SNP, explained the most phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were identified as candidates for qSR9. Conclusion This natural population consisting of 211 rice landraces combined with high-density SNPs will serve as a better choice for identifying rice QTLs/genes in the future, and the detected QTLs associated with cold tolerance at the bud burst stage in rice will be conducive to further mining favorable genes and breeding rice varieties under cold stress.</description><identifier>ISSN: 1471-2229</identifier><identifier>EISSN: 1471-2229</identifier><identifier>DOI: 10.1186/s12870-021-03317-7</identifier><identifier>PMID: 34800993</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>Agricultural research ; Bioinformatics ; Cereal crops ; Chromosomes ; Cold ; Cold Temperature ; Cold tolerance ; Cold-Shock Response - genetics ; Crops, Agricultural - genetics ; Crops, Agricultural - growth & development ; Flowers - genetics ; Flowers - growth & development ; Gene Expression Regulation, Plant ; Genes ; Genes, Plant ; Genetic aspects ; Genetic diversity ; Genetic Variation ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Genomics ; Genotype ; Germplasm ; GWAS ; Hardiness ; Life Sciences & Biomedicine ; Low temperature ; Methods ; Oryza - genetics ; Oryza - growth & development ; Phenotypic variations ; Physiological aspects ; Plant breeding ; Plant Sciences ; Plants ; Population ; Population structure ; Population studies ; Proteins ; QTL ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Rice ; Rice landraces ; Science & Technology ; Seedling survival rate (SR) ; Seedlings ; Signal transduction ; Single-nucleotide polymorphism ; Structural analysis ; Survival ; Temperature tolerance</subject><ispartof>BMC plant biology, 2021-11, Vol.21 (1), p.542-542, Article 542</ispartof><rights>2021. The Author(s).</rights><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>23</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000720726100006</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c597t-16f03b2df2d24af30a0ab6a26a75e04e8cb0662800b7cc9452cbe4f7180bdd0d3</citedby><cites>FETCH-LOGICAL-c597t-16f03b2df2d24af30a0ab6a26a75e04e8cb0662800b7cc9452cbe4f7180bdd0d3</cites><orcidid>0000-0002-8988-269X</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/PMC8605578/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605578/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,27929,27930,39263,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34800993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Caijing</creatorcontrib><creatorcontrib>Liu, Jindong</creatorcontrib><creatorcontrib>Bian, Jianxin</creatorcontrib><creatorcontrib>Jin, Tao</creatorcontrib><creatorcontrib>Zou, Baoli</creatorcontrib><creatorcontrib>Liu, Shilei</creatorcontrib><creatorcontrib>Zhang, Xiangyu</creatorcontrib><creatorcontrib>Wang, Peng</creatorcontrib><creatorcontrib>Tan, Jingai</creatorcontrib><creatorcontrib>Wu, Guangliang</creatorcontrib><creatorcontrib>Chen, Qin</creatorcontrib><creatorcontrib>Wang, Yanning</creatorcontrib><creatorcontrib>Zhong, Qi</creatorcontrib><creatorcontrib>Huang, Shiying</creatorcontrib><creatorcontrib>Yang, Mengmeng</creatorcontrib><creatorcontrib>Huang, Tao</creatorcontrib><creatorcontrib>He, Haohua</creatorcontrib><creatorcontrib>Bian, Jianmin</creatorcontrib><title>Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS</title><title>BMC plant biology</title><addtitle>BMC PLANT BIOL</addtitle><addtitle>BMC Plant Biol</addtitle><description>Background Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there have been limited studies focusing on cold tolerance at the bud burst stage; therefore, considerable attention should be given to the genetic basis of cold tolerance at this stage. Results In this study, a natural population consisting of 211 rice landraces collected from 15 provinces in China and other countries was used for the first time to evaluate cold tolerance at the bud burst stage. Population structure analysis showed that this population was divided into two groups and was rich in genetic diversity. Our evaluation results confirmed that japonica rice was more tolerant to cold at the bud burst stage than indica rice. A genome-wide association study (GWAS) was performed with the phenotypic data of 211 rice landraces and a 36,727 SNP dataset under a mixed linear model. Twelve QTLs (P < 0.0001) were identified for the seedling survival rate (SR) after treatment at 4 degrees C, in which there were five QTLs (qSR2-2, qSR3-1, qSR3-2, qSR3-3 and qSR9) that were colocalized with those from previous studies and seven QTLs (qSR2-1, qSR3-4, qSR3-5, qSR3-6, qSR3-7, qSR4 and qSR7) that were reported for the first time. Among these QTLs, qSR9, harboring the most significant SNP, explained the most phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were identified as candidates for qSR9. Conclusion This natural population consisting of 211 rice landraces combined with high-density SNPs will serve as a better choice for identifying rice QTLs/genes in the future, and the detected QTLs associated with cold tolerance at the bud burst stage in rice will be conducive to further mining favorable genes and breeding rice varieties under cold stress.</description><subject>Agricultural research</subject><subject>Bioinformatics</subject><subject>Cereal crops</subject><subject>Chromosomes</subject><subject>Cold</subject><subject>Cold Temperature</subject><subject>Cold tolerance</subject><subject>Cold-Shock Response - genetics</subject><subject>Crops, Agricultural - genetics</subject><subject>Crops, Agricultural - growth & development</subject><subject>Flowers - genetics</subject><subject>Flowers - growth & development</subject><subject>Gene Expression Regulation, Plant</subject><subject>Genes</subject><subject>Genes, Plant</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Genetic Variation</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Germplasm</subject><subject>GWAS</subject><subject>Hardiness</subject><subject>Life Sciences & Biomedicine</subject><subject>Low temperature</subject><subject>Methods</subject><subject>Oryza - genetics</subject><subject>Oryza - growth & development</subject><subject>Phenotypic variations</subject><subject>Physiological aspects</subject><subject>Plant breeding</subject><subject>Plant Sciences</subject><subject>Plants</subject><subject>Population</subject><subject>Population structure</subject><subject>Population studies</subject><subject>Proteins</subject><subject>QTL</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Rice</subject><subject>Rice landraces</subject><subject>Science & Technology</subject><subject>Seedling survival rate (SR)</subject><subject>Seedlings</subject><subject>Signal transduction</subject><subject>Single-nucleotide polymorphism</subject><subject>Structural analysis</subject><subject>Survival</subject><subject>Temperature tolerance</subject><issn>1471-2229</issn><issn>1471-2229</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1rFDEYhQdRbK3-AS8k4I0iU98kM0nmRlgWrQsLoq0I3oRMPrYps5OaZNT-e7O7de2KFzIZEjLPOckcTlU9xXCKsWCvEyaCQw0E10Ap5jW_Vx3jhuOaENLdv7M-qh6ldAWAuWi6h9URbQRA19Hj6uvC2DF757XKPowoOKTDYFAOg41q1BZ9vFgmpDLKlxb1kylvTBmlrFYW-RERjFH0hRvUaKLSNqH-Bp19mZ0_rh44NST75HY-qT6_e3sxf18vP5wt5rNlrduO5xozB7QnxhFDGuUoKFA9U4Qp3lporNA9MEbKhXuudde0RPe2cRwL6I0BQ0-qxc7XBHUlr6Nfq3gjg_JyuxHiSqqYvR6spKLFlEEH1PVNi4XgXccaQduWmrZjrni92XldT_3aGl2yiWo4MD38MvpLuQrfpWDQtlwUgxe3BjF8m2zKcu2TtkNJx4YpScIABBaUs4I-_wu9ClMcS1SFwpg2rOXNH2qlyg_40YVyrt6YyhkTrOFU0M2xp_-gymPs2uswWufL_oHg5YGgMNn-zCs1pSQX558OWbJjdQwpRev2eWCQmybKXRNlaaLcNlHyInp2N8m95Hf1CiB2wA_bB5e0t6VtewwAOCmD4bICNvd52895mMZcpK_-X0p_AZlR9LE</recordid><startdate>20211120</startdate><enddate>20211120</enddate><creator>Li, Caijing</creator><creator>Liu, Jindong</creator><creator>Bian, Jianxin</creator><creator>Jin, Tao</creator><creator>Zou, Baoli</creator><creator>Liu, Shilei</creator><creator>Zhang, Xiangyu</creator><creator>Wang, Peng</creator><creator>Tan, Jingai</creator><creator>Wu, Guangliang</creator><creator>Chen, Qin</creator><creator>Wang, Yanning</creator><creator>Zhong, Qi</creator><creator>Huang, Shiying</creator><creator>Yang, Mengmeng</creator><creator>Huang, Tao</creator><creator>He, Haohua</creator><creator>Bian, Jianmin</creator><general>Springer Nature</general><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><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>ISR</scope><scope>3V.</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8988-269X</orcidid></search><sort><creationdate>20211120</creationdate><title>Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS</title><author>Li, Caijing ; Liu, Jindong ; Bian, Jianxin ; Jin, Tao ; Zou, Baoli ; Liu, Shilei ; Zhang, Xiangyu ; Wang, Peng ; Tan, Jingai ; Wu, Guangliang ; Chen, Qin ; Wang, Yanning ; Zhong, Qi ; Huang, Shiying ; Yang, Mengmeng ; Huang, Tao ; He, Haohua ; Bian, Jianmin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c597t-16f03b2df2d24af30a0ab6a26a75e04e8cb0662800b7cc9452cbe4f7180bdd0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural research</topic><topic>Bioinformatics</topic><topic>Cereal crops</topic><topic>Chromosomes</topic><topic>Cold</topic><topic>Cold Temperature</topic><topic>Cold tolerance</topic><topic>Cold-Shock Response - genetics</topic><topic>Crops, Agricultural - genetics</topic><topic>Crops, Agricultural - growth & development</topic><topic>Flowers - genetics</topic><topic>Flowers - growth & development</topic><topic>Gene Expression Regulation, Plant</topic><topic>Genes</topic><topic>Genes, Plant</topic><topic>Genetic aspects</topic><topic>Genetic diversity</topic><topic>Genetic Variation</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Germplasm</topic><topic>GWAS</topic><topic>Hardiness</topic><topic>Life Sciences & Biomedicine</topic><topic>Low temperature</topic><topic>Methods</topic><topic>Oryza - genetics</topic><topic>Oryza - growth & development</topic><topic>Phenotypic variations</topic><topic>Physiological aspects</topic><topic>Plant breeding</topic><topic>Plant Sciences</topic><topic>Plants</topic><topic>Population</topic><topic>Population structure</topic><topic>Population studies</topic><topic>Proteins</topic><topic>QTL</topic><topic>Quantitative trait loci</topic><topic>Quantitative Trait Loci - genetics</topic><topic>Rice</topic><topic>Rice landraces</topic><topic>Science & Technology</topic><topic>Seedling survival rate (SR)</topic><topic>Seedlings</topic><topic>Signal transduction</topic><topic>Single-nucleotide polymorphism</topic><topic>Structural analysis</topic><topic>Survival</topic><topic>Temperature tolerance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Caijing</creatorcontrib><creatorcontrib>Liu, Jindong</creatorcontrib><creatorcontrib>Bian, Jianxin</creatorcontrib><creatorcontrib>Jin, Tao</creatorcontrib><creatorcontrib>Zou, Baoli</creatorcontrib><creatorcontrib>Liu, Shilei</creatorcontrib><creatorcontrib>Zhang, Xiangyu</creatorcontrib><creatorcontrib>Wang, Peng</creatorcontrib><creatorcontrib>Tan, Jingai</creatorcontrib><creatorcontrib>Wu, Guangliang</creatorcontrib><creatorcontrib>Chen, Qin</creatorcontrib><creatorcontrib>Wang, Yanning</creatorcontrib><creatorcontrib>Zhong, Qi</creatorcontrib><creatorcontrib>Huang, Shiying</creatorcontrib><creatorcontrib>Yang, Mengmeng</creatorcontrib><creatorcontrib>Huang, Tao</creatorcontrib><creatorcontrib>He, Haohua</creatorcontrib><creatorcontrib>Bian, Jianmin</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC plant biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Caijing</au><au>Liu, Jindong</au><au>Bian, Jianxin</au><au>Jin, Tao</au><au>Zou, Baoli</au><au>Liu, Shilei</au><au>Zhang, Xiangyu</au><au>Wang, Peng</au><au>Tan, Jingai</au><au>Wu, Guangliang</au><au>Chen, Qin</au><au>Wang, Yanning</au><au>Zhong, Qi</au><au>Huang, Shiying</au><au>Yang, Mengmeng</au><au>Huang, Tao</au><au>He, Haohua</au><au>Bian, Jianmin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS</atitle><jtitle>BMC plant biology</jtitle><stitle>BMC PLANT BIOL</stitle><addtitle>BMC Plant Biol</addtitle><date>2021-11-20</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>542</spage><epage>542</epage><pages>542-542</pages><artnum>542</artnum><issn>1471-2229</issn><eissn>1471-2229</eissn><abstract>Background Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there have been limited studies focusing on cold tolerance at the bud burst stage; therefore, considerable attention should be given to the genetic basis of cold tolerance at this stage. Results In this study, a natural population consisting of 211 rice landraces collected from 15 provinces in China and other countries was used for the first time to evaluate cold tolerance at the bud burst stage. Population structure analysis showed that this population was divided into two groups and was rich in genetic diversity. Our evaluation results confirmed that japonica rice was more tolerant to cold at the bud burst stage than indica rice. A genome-wide association study (GWAS) was performed with the phenotypic data of 211 rice landraces and a 36,727 SNP dataset under a mixed linear model. Twelve QTLs (P < 0.0001) were identified for the seedling survival rate (SR) after treatment at 4 degrees C, in which there were five QTLs (qSR2-2, qSR3-1, qSR3-2, qSR3-3 and qSR9) that were colocalized with those from previous studies and seven QTLs (qSR2-1, qSR3-4, qSR3-5, qSR3-6, qSR3-7, qSR4 and qSR7) that were reported for the first time. Among these QTLs, qSR9, harboring the most significant SNP, explained the most phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were identified as candidates for qSR9. Conclusion This natural population consisting of 211 rice landraces combined with high-density SNPs will serve as a better choice for identifying rice QTLs/genes in the future, and the detected QTLs associated with cold tolerance at the bud burst stage in rice will be conducive to further mining favorable genes and breeding rice varieties under cold stress.</abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>34800993</pmid><doi>10.1186/s12870-021-03317-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-8988-269X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1471-2229 |
| ispartof | BMC plant biology, 2021-11, Vol.21 (1), p.542-542, Article 542 |
| issn | 1471-2229 1471-2229 |
| language | eng |
| recordid | cdi_proquest_journals_2611346574 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; EZB-FREE-00999 freely available EZB journals; SpringerNature Journals; PubMed Central; Springer Nature OA/Free Journals; PubMed Central Open Access |
| subjects | Agricultural research Bioinformatics Cereal crops Chromosomes Cold Cold Temperature Cold tolerance Cold-Shock Response - genetics Crops, Agricultural - genetics Crops, Agricultural - growth & development Flowers - genetics Flowers - growth & development Gene Expression Regulation, Plant Genes Genes, Plant Genetic aspects Genetic diversity Genetic Variation Genome-wide association studies Genome-Wide Association Study Genomes Genomics Genotype Germplasm GWAS Hardiness Life Sciences & Biomedicine Low temperature Methods Oryza - genetics Oryza - growth & development Phenotypic variations Physiological aspects Plant breeding Plant Sciences Plants Population Population structure Population studies Proteins QTL Quantitative trait loci Quantitative Trait Loci - genetics Rice Rice landraces Science & Technology Seedling survival rate (SR) Seedlings Signal transduction Single-nucleotide polymorphism Structural analysis Survival Temperature tolerance |
| title | Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS |
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