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Association mapping of quantitative trait loci for yield-related agronomic traits in rice(Oryza sativa L.)
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作者 XU Fei-fei JIN Liang +3 位作者 HUANG Yan TONG Chuan CHEN Ya-ling BAO Jin-song 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2016年第10期2192-2202,共11页
High yield in rice mainly depends on large grain weight, ideal plant architecture and proper flowering time adapting to various geographic regions. To help achieve higher yield, phenotype variations of heading date(H... High yield in rice mainly depends on large grain weight, ideal plant architecture and proper flowering time adapting to various geographic regions. To help achieve higher yield, phenotype variations of heading date(HD), plant architecture and grain shape in a panel of 416 rice accessions were investigated in this study. A total of 143 markers including 100 simple sequence repeat(SSR) markers and 43 gene-tagged markers were employed in association mapping to detect quantitative trait loci(QTL) responsible for these variations. Among the 7 subpopulations, POP5 in japonica group showed the largest values of HD and grain width(GW), but the smallest values of grain length(GL) and grain length to width ratio(GLW). Among the six indica groups, POP7 had the largest values of HD, GL, GLW, and 1 000-grain weight(TGW). A total of 27 QTLs were detected underlying these phenotypic variations in single year, while 12 of them could be detected in 2006 and 2007. GS3 marker was closely associated with GL, GW and GLW, and widely distributed in different groups. The starch synthesis related gene markers, SSI, SSIIa, SBE1, AGPL4, and ISA1, were linked to plant height(PH), panicle length(PL), flag leaf length(FLL), GW, and GLW. The SSR markers, RM267, RM340 and RM346, were linked to at least two traits. Therefore, these new markers will probably be used to improve rice grain yield or plant architecture when performing marker-assisted selection of proper alleles. 展开更多
关键词 yield plant architecture heading date association mapping marker-assisted selection
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Genetic dissection of maize seedling root system architecture traits using an ultra-high density bin-map and a recombinant inbred line population 被引量:14
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作者 Weibin Song Baobao Wang +3 位作者 Andrew L Hauck Xiaomei Dong Jieping Li Jinsheng Lai 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2016年第3期266-279,共14页
Maize(Zea mays) root system architecture(RSA)mediates the key functions of plant anchorage and acquisition of nutrients and water. In this study,a set of 204 recombinant inbred lines(RILs) was derived from the w... Maize(Zea mays) root system architecture(RSA)mediates the key functions of plant anchorage and acquisition of nutrients and water. In this study,a set of 204 recombinant inbred lines(RILs) was derived from the widely adapted Chinese hybrid ZD958(Zheng58 Chang7-2),genotyped by sequencing(GBS) and evaluated as seedlings for 24 RSA related traits divided into primary,seminal and total root classes. Signi ficant differences between the means of the parental phenotypes were detected for 18 traits,and extensive transgressive segregation in the RIL population was observed for all traits. Moderate to strong relationships among the traits were discovered. A total of 62 quantitative trait loci(QTL) were identi fied that individually explained from1.6% to 11.6%(total root dry weight/total seedling shoot dry weight) of the phenotypic variation. Eighteen,24 and 20 QTL were identi fied for primary,seminal and total root classes of traits,respectively. We found hotspots of 5,3,4 and 12 QTL in maize chromosome bins 2.06,3.02-03,9.02-04,and 9.05-06,respectively,implicating the presence of root gene clusters or pleiotropic effects. These results characterized the phenotypic variation and genetic architecture of seedling RSA in a population derived from a successful maize hybrid. 展开更多
关键词 Maize root system architecture QTL bin map genotyping by sequencing(GBS)
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