QTL consistency for agronomic traits across three generations and potential applications in popcorn
Favorable agronomic traits are important to improve productivity of popcorn. In this study, a recombinant inbred line (RIL) population consisting of 258 lines was evaluated to identify quantitative trait loci (QTLs) for nine agronomic traits (plant height, ear height, top height (plant height subtra...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-12-01
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| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311915610607 |
| _version_ | 1819063893984542720 |
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| author | Yong-bin DONG Zhong-wei ZHANG Qing-ling SHI Qi-lei WANG Qiang ZHOU Fei DENG Zhi-yan MA Da-he QIAO Yu-ling LI |
| author_facet | Yong-bin DONG Zhong-wei ZHANG Qing-ling SHI Qi-lei WANG Qiang ZHOU Fei DENG Zhi-yan MA Da-he QIAO Yu-ling LI |
| author_sort | Yong-bin DONG |
| collection | DOAJ |
| description | Favorable agronomic traits are important to improve productivity of popcorn. In this study, a recombinant inbred line (RIL) population consisting of 258 lines was evaluated to identify quantitative trait loci (QTLs) for nine agronomic traits (plant height, ear height, top height (plant height subtracted ear height), top height/plant height, number of leaves above the top ear, leaf area, stalk diameter, number of tassel branches and the length of tassel) under three environments. Meta-analysis was conducted then to integrate QTLs identified across three generations (RIL, F2:3 and BC2F2) developed from the same crosses. In total, 179 QTLs and 36 meta-QTLs (mQTL) were identified. The percentage of phenotypic variation (R2) explained by any single QTL varied from 3.86 to 28.4%, and 24 QTLs with contributions over 15%. Nine common QTLs located in the same or similar chromosome regions were detected across three generations. Five meta-QTLs were identified including QTLs in three independent studies. Seven important mQTLs were composed of 11–26 QTLs for 4–7 traits, respectively. Only 11 mQTLs were commonly identified in the same or similar chromosome regions across agronomic traits, popping characteristics (popping fold, popping volume and popping rate) and grain yield components (ear weight per plant, grain weight per plant, 100-grain weight, ear length, kernel number per row, ear diameter, row number per ear and kernel ratio) by meta-QTL analysis. In conclusion, we identified a list of QTLs, some of which with much higher contributions to agronomic traits should be valuable for further study in improving both popping characteristics and grain yield components in popcorn. |
| first_indexed | 2024-12-21T15:21:55Z |
| format | Article |
| id | doaj.art-7e07b26918944faf9039aca2f154b4b3 |
| institution | Directory Open Access Journal |
| issn | 2095-3119 |
| language | English |
| last_indexed | 2024-12-21T15:21:55Z |
| publishDate | 2015-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj.art-7e07b26918944faf9039aca2f154b4b32022-12-21T18:59:00ZengElsevierJournal of Integrative Agriculture2095-31192015-12-01141225472557QTL consistency for agronomic traits across three generations and potential applications in popcornYong-bin DONG0Zhong-wei ZHANG1Qing-ling SHI2Qi-lei WANG3Qiang ZHOU4Fei DENG5Zhi-yan MA6Da-he QIAO7Yu-ling LI8DONG Yong-bin, Tel: +86-371-63555540; College of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCollege of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaCorrespondence LI Yu-ling, Tel: +86-371-63555540, Fax: +86-371-63558126; College of Agronomy, Henan Agricultural University/Collaborative Innovation Center of Henan Grain Crops/National Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, P.R.ChinaFavorable agronomic traits are important to improve productivity of popcorn. In this study, a recombinant inbred line (RIL) population consisting of 258 lines was evaluated to identify quantitative trait loci (QTLs) for nine agronomic traits (plant height, ear height, top height (plant height subtracted ear height), top height/plant height, number of leaves above the top ear, leaf area, stalk diameter, number of tassel branches and the length of tassel) under three environments. Meta-analysis was conducted then to integrate QTLs identified across three generations (RIL, F2:3 and BC2F2) developed from the same crosses. In total, 179 QTLs and 36 meta-QTLs (mQTL) were identified. The percentage of phenotypic variation (R2) explained by any single QTL varied from 3.86 to 28.4%, and 24 QTLs with contributions over 15%. Nine common QTLs located in the same or similar chromosome regions were detected across three generations. Five meta-QTLs were identified including QTLs in three independent studies. Seven important mQTLs were composed of 11–26 QTLs for 4–7 traits, respectively. Only 11 mQTLs were commonly identified in the same or similar chromosome regions across agronomic traits, popping characteristics (popping fold, popping volume and popping rate) and grain yield components (ear weight per plant, grain weight per plant, 100-grain weight, ear length, kernel number per row, ear diameter, row number per ear and kernel ratio) by meta-QTL analysis. In conclusion, we identified a list of QTLs, some of which with much higher contributions to agronomic traits should be valuable for further study in improving both popping characteristics and grain yield components in popcorn.http://www.sciencedirect.com/science/article/pii/S2095311915610607popcornagronomic traitsquantitative trait locus (QTL)meta-analysis |
| spellingShingle | Yong-bin DONG Zhong-wei ZHANG Qing-ling SHI Qi-lei WANG Qiang ZHOU Fei DENG Zhi-yan MA Da-he QIAO Yu-ling LI QTL consistency for agronomic traits across three generations and potential applications in popcorn Journal of Integrative Agriculture popcorn agronomic traits quantitative trait locus (QTL) meta-analysis |
| title | QTL consistency for agronomic traits across three generations and potential applications in popcorn |
| title_full | QTL consistency for agronomic traits across three generations and potential applications in popcorn |
| title_fullStr | QTL consistency for agronomic traits across three generations and potential applications in popcorn |
| title_full_unstemmed | QTL consistency for agronomic traits across three generations and potential applications in popcorn |
| title_short | QTL consistency for agronomic traits across three generations and potential applications in popcorn |
| title_sort | qtl consistency for agronomic traits across three generations and potential applications in popcorn |
| topic | popcorn agronomic traits quantitative trait locus (QTL) meta-analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2095311915610607 |
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