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期 刊 ：植物遗传资源学报 2015年 16卷 4期

关键词：水稻；穗伸出度；不同生长环境；QTL分析；

Keywords:rice, panicle exsertion, different growing environments, QTL analysis,

摘 要 ：以十和田/昆明小白谷225个F14家系为作图群体，在云南省弥勒县（正常生长环境）、嵩明县（自然低温胁迫环境）、丽江市（自然低温胁迫环境）等三个试点不同年份共5种不同生长环境下进行了水稻主穗和分蘖穗穗伸出度的异地鉴定，并利用SSR标记对水稻穗伸出度进行了QTL分析。检测结果表明，在5种不同的生长环境下共检测到12个与水稻穗伸出度相关的QTL，分别分布于第1 (2个QTLs)、2、4、6 (3个QTLs)、7 (3个QTLs)、9 (2个QTLs)号染色体，对表型的贡献率为3.72%～22.17%。其中与主穗穗伸出度相关的QTL共11个，与分蘖穗穗伸出度相关的QTL共7个，其中6个在主穗和分蘖穗上均检测到。在与主穗穗伸出度相关的11个QTL中，qPE-7-1在4种环境下均被检测到，解释的表型变异为9.49%～22.17%；qPE-1-1，qPE-1-2，qPE-6-1和qPE-9-2等4个QTL在2种环境下均被检测到。在与分蘖穗穗伸出度相关的7个QTL中，qPE-1-2，qPE-7-1和qPE-6-1等3个QTL在2种环境中均被检测到，解释的表型变异率分别为4.35%～12.64%，13.22%～20.89% 和 11.49%～15.73%。

Abstract:Combining with the phenotypic data at five different growing environments of Mile(2012, normal growing environment), Songming(2012, 2013, natural low temperature environment) and Lijiang(2012,2013, natural low temperature environment) and genotypic data, QTLs controlling the panicle exsertion in rice were analyzed by using a Towoda×Kunmingxiaobaibu –derived RIL population (F14) consisting of 225 lines. The results showed that 12 QTLs contolling the panicle exsertion in rice were detected under five different environments, and these QTLs were distributed on chromosome 1(2 QTLs), 2, 4, 6 (3 QTLs), 7 (3 QTLs), 9 (2QTLs) chromosome in respective, with the variance explained by a single QTL ranged from 3.72% to 22.17%. Among them , 11 QTLs were associated with the panicle exsertion in the main spike, and 7 QTLs were associated with the panicle exsertion in the spike tiller, 6 QTLs were associated with the panicle exsertion in both main spike and spike tiller. Among the 11 QTLs controlling the panicle exsertion in main spike, qPE-7-1 has been detected in four growing environments, explaining 9.49%～22.17% of observed phenotypic variation, and 4 QTLs (qPE-1-1, qPE-1-2, qPE-6-1 and qPE-9-2 ) have been detected in more than two growing environments. And 3 QTLs(qPE-1-2, qPE-7-1 and qPE-6-1, ) of 7 QTLs controlling the panicle exsertion in spike tiller have been detected in more than two growing environments, explaining 4.35%～12.64%, 13.22%～20.89% and 11.49%～15.73% of observed phenotypic variation in respective .

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