...
首页> 外文期刊>Journal of genetics >QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice
【24h】

QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice

机译:水稻千粒重和垩白率的QTL定位及相关分析

获取原文
           

摘要

The study of 1000-grain weight (TGW) and percentage of grains with chalkiness (PGWC) is very important in rice. In this study, a set of introgression lines (ILs), derived from Sasanishiki/Habataki with Sasanishiki as the recurrent parent, were used to detect correlations and quantitative trait loci (QTL) on TGW and PGWC in two different environments. Phenotypic correlation analysis showed that there was no significant correlation between TGW and PGWC in both environments, which indicated that the linkage of TGW and PGWC traits could be broken via suitable population. A total of 20 QTL were detected in both environments, nine QTL for 1000-paddy-grain weight (PTGW), five QTL for 1000-brown-grain weight (BTGW) and six QTL for percentage of grains with chalkiness (PGWC). Moreover, five QTL, qPTGW3, qPTGW8.2, qPTGW11.1 for PTGW and qPGWC1.1, qPGWC1.2 for PGWC, were stably expressed in both environments. Phenotypic values were significantly different ($P lt 0.01$) between the introgression lines carrying these five QTL alleles and the genetic background parent, Sasanishiki. The introgression lines carrying these QTL also represent a useful genetic resource in the context of rice yield and quality improvement via a design-breeding approach.
机译:研究稻米的千粒重(TGW)和垩白度(PGWC)非常重要。在这项研究中,一组来自Sasanishiki / Habataki的渗入系(IL),以Sasanishiki作为轮回亲本,被用来检测两种不同环境中TGW和PGWC的相关性和数量性状基因座(QTL)。表型相关性分析表明,两种环境下TGW和PGWC之间均无显着相关性,表明TGW和PGWC性状之间的联系可以通过合适的种群来打破。在这两种环境中共检测到20个QTL,其中1000个水稻粒重(PTGW)为9个QTL,1000个棕色粒重(BTGW)为5个QTL,以及垩白度为6个QTL(PGWC)。此外,在两种环境中稳定表达了五个QTL,即用于PTGW的qPTGW3,qPTGW8.2,qPTGW11.1和用于PGWC的qPGWC1.1,qPGWC1.2。携带这五个QTL等位基因的基因渗入系与遗传背景亲本Sasanishiki之间的表型值显着不同($ P lt 0.01 $)。通过设计育种方法,在水稻产量和质量提高的背景下,携带这些QTL的渗入系也代表了有用的遗传资源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号