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作 者:沈希宏[1] 曹立勇[1] 陈深广[1] 占小登[1] 吴伟明[1] 程式华[1]
机构地区:[1]中国水稻研究所水稻生物学国家重点实验室,浙江杭州310006
出 处:《中国水稻科学》2009年第4期354-362,共9页Chinese Journal of Rice Science
基 金:浙江省重大专项资助项目(2004C12020-1);国家863计划资助项目(2006AA10Z1E8);农业部超级稻专项资助项目
摘 要:将281个株系组成的超级杂交稻协优9308重组自交系群体种植在海南陵水(2006年和2007年)和浙江富阳(2006年),采用Windows QTL Cartographer 2.5的复合区间作图法进行QTL检测。共检测到控制7个穗部性状的52个QTL,其中包括7个控制穗长的QTL,8个控制一次枝梗数的QTL,9个控制二次枝梗数的QTL,6个控制着粒密度的QTL,7个控制每穗总粒数的QTL,11个控制每穗实粒数的QTL,4个控制结实率的QTL。单个QTL对群体性状表型变异的贡献率为2.3%~31.2%。控制穗部性状的QTL基本上以加性效应为主,上位性效应和环境互作效应不大。在3组试验中都检测到控制3个穗部性状的8个QTL:qPL-1,qPL-6-1;qTNSP-1,qTNSP-2,qTNSP-3;qNFGP-1,qNFGP-3-2,qNFGP-6-2。这些QTL,尤其是第3染色体RM168-RM143区间控制每穗总粒数的qTNSP-3和控制每穗实粒数的qNFGP-3-2,其加性效应值和贡献率均较大,可以考虑下一步进行QTL精细定位和克隆。研究发现多个重要QTL聚集区间,在同一QTL聚集区间,控制相关性状的QTL效应方向基本上相同,利用这些QTL紧密连锁的分子标记进行辅助选择,可望同时针对多个性状进行遗传改良。Two hundred and eighty one recombinant inbred lines derived from Xieqingzao B × R9308 were planted in Lingshui, Hainan (2006, 2007) and Fuyang, Zhejiang (2006) in rice-growing season. QTLs for seven selected paniete traits were determined by composite interval mapping with Windows QTL Cartographer 2.5. Fifty-two significant QTLs were detected in the three trials, including seven QTLs for plant length(PL), eight QTLs for primary rachis braneh(PRB), nine QTLs for secondary raehis branch(SRB), six QTLs for grain density(GD), seven QTLs for total number of spikelets per panicle (TNSP), eleven QTLs for number of filled grains per panicle(NFGP), four QTLs for spikelet fertility(SF). For all the QTLs detected, phenotypic variance explained by a single QTL ranged from 2.3 % to 31.2 %. Most of QTLs for yield components displayed dominant additive effects, whereas epistatic effects were not significant. A total of eight common QTLs for four panicle traits were detected in all the three trials, including qPL-1 ,qPL-6-1 , qTNSP-1 , qTNSP-2, qTNSP-3, qNFGP- 1 ,qNFGP-3-2 and qNFGP-6-2. These QTLs, particularly qNFGP-3-2 and qTNSP-3 with stronger additive effects and higher contribution rates would be further studied for fine-scale mapping and/or cloning. Some intervals with QTL cluster were determined in QTL mapping and most of the QTLs tended to have pleiotropism. In a specific interval with QTL cluster, the effect direction of QTLs controlling the correlative trait tended to be similar, implying the possibility of genetic improvement of multiple traits using DNA markers closely linked to these QTLs.
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