{"title":"水稻产量相关性状的测绘揭示了 Oryza nivara 的 QTL qFLA1.1 对增加旗叶面积的主要影响","authors":"Haritha Guttikonda, Gowthami Chandu, Suchandranath Babu Munnam, Kavitha Beerelli, Divya Balakrishnan, R. Madhusudhana, Sarla Neelamraju","doi":"10.1007/s10681-024-03297-3","DOIUrl":null,"url":null,"abstract":"<p>A stable back cross introgression line IL65 (IET22161) (Swarna/<i>O. nivara-</i>BC<sub>2</sub>F<sub>6</sub>) of rice was used to map flag leaf related traits in F<sub>2</sub> and F<sub>3</sub> populations. A total of 12 QTLs were mapped on two chromosomes with each QTL explaining 3 to 21% phenotypic variance (PV). Interestingly, a novel 12 Mb QTL cluster (RM8094—RM9) that controls 7 traits was identified on long arm of chromosome 1 where QTLs <i>qSPAD1.2</i>, <i>qSPAD1.3</i> for SPAD, <i>qFLL1.1</i>, <i>qFLL1.2</i> for flag leaf length, <i>qFLW1.1</i>, <i>qFLW1.2</i> for flag leaf width, <i>qFLA1.1</i>, <i>qFLA1.2</i> for flag leaf area, <i>qPH1.1</i>, <i>qPH1.2</i> for plant height, <i>qDTF1.2</i>, <i>qDTF1.3</i> for days to flowering and <i>qHI1.2</i>, <i>qHI1.3</i> for harvest index were co-located. Among these, one major effect QTL <i>qFLA1.1</i> for flag leaf area explaining 12.7% PV was identified in a 9 Mb region between RM8094 and RM5638. There was an adjacent minor effect QTL <i>qFLA1.2</i> with 7% PV in a 3 Mb region between RM5638 and RM9. Together, these two QTLs from <i>O. nivara</i> explained 19.7% PV of leaf area. The QTL for flag leaf related traits can be fine mapped and considered for breeding rice varieties with higher flag leaf area, photosynthetic rate and grain yield.</p>","PeriodicalId":11803,"journal":{"name":"Euphytica","volume":"28 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping for yield related traits in rice reveals major effect QTL qFLA1.1 from Oryza nivara increases flag leaf area\",\"authors\":\"Haritha Guttikonda, Gowthami Chandu, Suchandranath Babu Munnam, Kavitha Beerelli, Divya Balakrishnan, R. Madhusudhana, Sarla Neelamraju\",\"doi\":\"10.1007/s10681-024-03297-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A stable back cross introgression line IL65 (IET22161) (Swarna/<i>O. nivara-</i>BC<sub>2</sub>F<sub>6</sub>) of rice was used to map flag leaf related traits in F<sub>2</sub> and F<sub>3</sub> populations. A total of 12 QTLs were mapped on two chromosomes with each QTL explaining 3 to 21% phenotypic variance (PV). Interestingly, a novel 12 Mb QTL cluster (RM8094—RM9) that controls 7 traits was identified on long arm of chromosome 1 where QTLs <i>qSPAD1.2</i>, <i>qSPAD1.3</i> for SPAD, <i>qFLL1.1</i>, <i>qFLL1.2</i> for flag leaf length, <i>qFLW1.1</i>, <i>qFLW1.2</i> for flag leaf width, <i>qFLA1.1</i>, <i>qFLA1.2</i> for flag leaf area, <i>qPH1.1</i>, <i>qPH1.2</i> for plant height, <i>qDTF1.2</i>, <i>qDTF1.3</i> for days to flowering and <i>qHI1.2</i>, <i>qHI1.3</i> for harvest index were co-located. Among these, one major effect QTL <i>qFLA1.1</i> for flag leaf area explaining 12.7% PV was identified in a 9 Mb region between RM8094 and RM5638. There was an adjacent minor effect QTL <i>qFLA1.2</i> with 7% PV in a 3 Mb region between RM5638 and RM9. Together, these two QTLs from <i>O. nivara</i> explained 19.7% PV of leaf area. The QTL for flag leaf related traits can be fine mapped and considered for breeding rice varieties with higher flag leaf area, photosynthetic rate and grain yield.</p>\",\"PeriodicalId\":11803,\"journal\":{\"name\":\"Euphytica\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Euphytica\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1007/s10681-024-03297-3\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Euphytica","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s10681-024-03297-3","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
Mapping for yield related traits in rice reveals major effect QTL qFLA1.1 from Oryza nivara increases flag leaf area
A stable back cross introgression line IL65 (IET22161) (Swarna/O. nivara-BC2F6) of rice was used to map flag leaf related traits in F2 and F3 populations. A total of 12 QTLs were mapped on two chromosomes with each QTL explaining 3 to 21% phenotypic variance (PV). Interestingly, a novel 12 Mb QTL cluster (RM8094—RM9) that controls 7 traits was identified on long arm of chromosome 1 where QTLs qSPAD1.2, qSPAD1.3 for SPAD, qFLL1.1, qFLL1.2 for flag leaf length, qFLW1.1, qFLW1.2 for flag leaf width, qFLA1.1, qFLA1.2 for flag leaf area, qPH1.1, qPH1.2 for plant height, qDTF1.2, qDTF1.3 for days to flowering and qHI1.2, qHI1.3 for harvest index were co-located. Among these, one major effect QTL qFLA1.1 for flag leaf area explaining 12.7% PV was identified in a 9 Mb region between RM8094 and RM5638. There was an adjacent minor effect QTL qFLA1.2 with 7% PV in a 3 Mb region between RM5638 and RM9. Together, these two QTLs from O. nivara explained 19.7% PV of leaf area. The QTL for flag leaf related traits can be fine mapped and considered for breeding rice varieties with higher flag leaf area, photosynthetic rate and grain yield.
期刊介绍：
Euphytica is an international journal on theoretical and applied aspects of plant breeding. It publishes critical reviews and papers on the results of original research related to plant breeding.
The integration of modern and traditional plant breeding is a growing field of research using transgenic crop plants and/or marker assisted breeding in combination with traditional breeding tools. The content should cover the interests of researchers directly or indirectly involved in plant breeding, at universities, breeding institutes, seed industries, plant biotech companies and industries using plant raw materials, and promote stability, adaptability and sustainability in agriculture and agro-industries.
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