Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice
Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 di...
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Gespeichert in:
| Autor*in: |
Sundaramoorthy, Mohan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Indian Society for Plant Physiology 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Indian journal of plant physiology - New Delhi, 2000, 27(2022), 1 vom: 29. Jan., Seite 11-21 |
|---|---|
| Übergeordnetes Werk: |
volume:27 ; year:2022 ; number:1 ; day:29 ; month:01 ; pages:11-21 |
| Links: |
|---|
| DOI / URN: |
10.1007/s40502-021-00641-w |
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| 520 | |a Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. | ||
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10.1007/s40502-021-00641-w doi (DE-627)SPR04649667X (SPR)s40502-021-00641-w-e DE-627 ger DE-627 rakwb eng Sundaramoorthy, Mohan verfasserin aut Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Society for Plant Physiology 2022 Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. Rice (dpeaa)DE-He213 Population structure (dpeaa)DE-He213 Grain yield (dpeaa)DE-He213 Association mapping (dpeaa)DE-He213 Ramasamy, Shobica Priya aut Rajagopalan, Veera Ranjani aut Ramalingam, Ajay Prasanth aut Ayyenar, Bharathi aut Mohanavel, Vignesh aut Narayanan, Manikanda Boopathi aut Muthurajan, Raveendran (orcid)0000-0002-8803-7662 aut Enthalten in Indian journal of plant physiology New Delhi, 2000 27(2022), 1 vom: 29. Jan., Seite 11-21 (DE-627)670213330 (DE-600)2632084-8 0974-0252 nnns volume:27 year:2022 number:1 day:29 month:01 pages:11-21 https://dx.doi.org/10.1007/s40502-021-00641-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_281 AR 27 2022 1 29 01 11-21 |
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10.1007/s40502-021-00641-w doi (DE-627)SPR04649667X (SPR)s40502-021-00641-w-e DE-627 ger DE-627 rakwb eng Sundaramoorthy, Mohan verfasserin aut Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Society for Plant Physiology 2022 Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. Rice (dpeaa)DE-He213 Population structure (dpeaa)DE-He213 Grain yield (dpeaa)DE-He213 Association mapping (dpeaa)DE-He213 Ramasamy, Shobica Priya aut Rajagopalan, Veera Ranjani aut Ramalingam, Ajay Prasanth aut Ayyenar, Bharathi aut Mohanavel, Vignesh aut Narayanan, Manikanda Boopathi aut Muthurajan, Raveendran (orcid)0000-0002-8803-7662 aut Enthalten in Indian journal of plant physiology New Delhi, 2000 27(2022), 1 vom: 29. Jan., Seite 11-21 (DE-627)670213330 (DE-600)2632084-8 0974-0252 nnns volume:27 year:2022 number:1 day:29 month:01 pages:11-21 https://dx.doi.org/10.1007/s40502-021-00641-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_281 AR 27 2022 1 29 01 11-21 |
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10.1007/s40502-021-00641-w doi (DE-627)SPR04649667X (SPR)s40502-021-00641-w-e DE-627 ger DE-627 rakwb eng Sundaramoorthy, Mohan verfasserin aut Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Society for Plant Physiology 2022 Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. Rice (dpeaa)DE-He213 Population structure (dpeaa)DE-He213 Grain yield (dpeaa)DE-He213 Association mapping (dpeaa)DE-He213 Ramasamy, Shobica Priya aut Rajagopalan, Veera Ranjani aut Ramalingam, Ajay Prasanth aut Ayyenar, Bharathi aut Mohanavel, Vignesh aut Narayanan, Manikanda Boopathi aut Muthurajan, Raveendran (orcid)0000-0002-8803-7662 aut Enthalten in Indian journal of plant physiology New Delhi, 2000 27(2022), 1 vom: 29. Jan., Seite 11-21 (DE-627)670213330 (DE-600)2632084-8 0974-0252 nnns volume:27 year:2022 number:1 day:29 month:01 pages:11-21 https://dx.doi.org/10.1007/s40502-021-00641-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_281 AR 27 2022 1 29 01 11-21 |
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10.1007/s40502-021-00641-w doi (DE-627)SPR04649667X (SPR)s40502-021-00641-w-e DE-627 ger DE-627 rakwb eng Sundaramoorthy, Mohan verfasserin aut Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Society for Plant Physiology 2022 Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. Rice (dpeaa)DE-He213 Population structure (dpeaa)DE-He213 Grain yield (dpeaa)DE-He213 Association mapping (dpeaa)DE-He213 Ramasamy, Shobica Priya aut Rajagopalan, Veera Ranjani aut Ramalingam, Ajay Prasanth aut Ayyenar, Bharathi aut Mohanavel, Vignesh aut Narayanan, Manikanda Boopathi aut Muthurajan, Raveendran (orcid)0000-0002-8803-7662 aut Enthalten in Indian journal of plant physiology New Delhi, 2000 27(2022), 1 vom: 29. Jan., Seite 11-21 (DE-627)670213330 (DE-600)2632084-8 0974-0252 nnns volume:27 year:2022 number:1 day:29 month:01 pages:11-21 https://dx.doi.org/10.1007/s40502-021-00641-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_281 AR 27 2022 1 29 01 11-21 |
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10.1007/s40502-021-00641-w doi (DE-627)SPR04649667X (SPR)s40502-021-00641-w-e DE-627 ger DE-627 rakwb eng Sundaramoorthy, Mohan verfasserin aut Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Society for Plant Physiology 2022 Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. Rice (dpeaa)DE-He213 Population structure (dpeaa)DE-He213 Grain yield (dpeaa)DE-He213 Association mapping (dpeaa)DE-He213 Ramasamy, Shobica Priya aut Rajagopalan, Veera Ranjani aut Ramalingam, Ajay Prasanth aut Ayyenar, Bharathi aut Mohanavel, Vignesh aut Narayanan, Manikanda Boopathi aut Muthurajan, Raveendran (orcid)0000-0002-8803-7662 aut Enthalten in Indian journal of plant physiology New Delhi, 2000 27(2022), 1 vom: 29. Jan., Seite 11-21 (DE-627)670213330 (DE-600)2632084-8 0974-0252 nnns volume:27 year:2022 number:1 day:29 month:01 pages:11-21 https://dx.doi.org/10.1007/s40502-021-00641-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_281 AR 27 2022 1 29 01 11-21 |
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Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice |
| abstract |
Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. © Indian Society for Plant Physiology 2022 |
| abstractGer |
Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. © Indian Society for Plant Physiology 2022 |
| abstract_unstemmed |
Abstract Success of crop improvement program depends on systematic exploitation of genetic diversity. Improved understanding on the genetic basis of traits contributing to yield and stress tolerance is necessary to accelerate development of resilient crop varieties. In this study, a subset of 102 diverse rice accessions was assembled after analysing population structure (K = 8) and removal of admixtures from a larger set of IRRI 3 K panel. The constructed subset showed adequate diversity in yield related traits. Genome wide association analysis using the genome wide SNP markers identified a total of 42 SNPs showing significant association with major yield traits. Out of the identified SNPs, 20 SNPs were found to be present in QTL or genes reported previously for yield traits. Remaining 22 loci were found to be novel and needs validation. Elite genetic stocks with increased yield potential will permit us to dissect out the physiological and molecular basis of spikelet number per panicle in rice and thereby accelerate yield enhancement in rice through haplotype based breeding. © Indian Society for Plant Physiology 2022 |
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| title_short |
Pilot scale genome wide association mapping identified novel loci for grain yield traits in rice |
| url |
https://dx.doi.org/10.1007/s40502-021-00641-w |
| remote_bool |
true |
| author2 |
Ramasamy, Shobica Priya Rajagopalan, Veera Ranjani Ramalingam, Ajay Prasanth Ayyenar, Bharathi Mohanavel, Vignesh Narayanan, Manikanda Boopathi Muthurajan, Raveendran |
| author2Str |
Ramasamy, Shobica Priya Rajagopalan, Veera Ranjani Ramalingam, Ajay Prasanth Ayyenar, Bharathi Mohanavel, Vignesh Narayanan, Manikanda Boopathi Muthurajan, Raveendran |
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670213330 |
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| doi_str |
10.1007/s40502-021-00641-w |
| up_date |
2024-07-03T22:53:42.055Z |
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