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云南籼粳交错区水稻农艺性状与产量相关及通径分析
引用本文:杨久,丁鲲,卢义宣,辜琼瑶,刘晓利,张竹仙,宋建荣,李华惠.云南籼粳交错区水稻农艺性状与产量相关及通径分析[J].西南农业学报,2011,24(2).
作者姓名:杨久  丁鲲  卢义宣  辜琼瑶  刘晓利  张竹仙  宋建荣  李华惠
作者单位:1. 云南省农业科学院粮食作物研究所,云南昆明,650205
2. 云南省农村科学技术服务中心,云南昆明,650051
3. 开远市种子管理站,云南开远,661000
基金项目:农业部948"全球水稻分子育种计划"项目,云南省科技攻关项目
摘    要:对32份不同籼粳类型品种在云南省弥勒县籼粳交错区进行产量与11个性状间相关和通径分析.结果表明,对产量影响最大的因素是每穗实粒数,遗传相关系数和通径系数分别为r=0.52**,P=1.34625,达到1%的极显著水平.其次是结实率(r=0.45**)和千粒重(r=0.34*,P=0.80317).性状之间谷粒长宽比与结实率呈显著负相关(r=-0.38*),即谷粒长宽比越大,结实率越低.各性状对产量的作用通径系数由大到小排列顺序为:每穗实粒数>单株有效穗>千粒重>株高,且这4个因子对单株产量的相对贡献率达到84.998%.因此,选择大穗大粒的品种是提高云南籼粳交错稻作区产量的有效途径之一,并兼顾具有适当的有效穗、株高,且谷粒越宽(偏粳)越有利于提高水稻的结实率.

关 键 词:籼粳稻  农艺性状  相关分析  通经分析

Correlation and Path Analysis of Yield and Agronomic Characters of Rice in Yunnan Indica and Japonica Rice Interlace Area
YANG Jiu,DING Kun,LU Yi-xuan,GU Qiong-yao,LIU Xiao-li,ZHANG Zhu-xian,SONG Jian-rong,LI Hua-hui.Correlation and Path Analysis of Yield and Agronomic Characters of Rice in Yunnan Indica and Japonica Rice Interlace Area[J].Southwest China Journal of Agricultural Sciences,2011,24(2).
Authors:YANG Jiu  DING Kun  LU Yi-xuan  GU Qiong-yao  LIU Xiao-li  ZHANG Zhu-xian  SONG Jian-rong  LI Hua-hui
Institution:YANG Jiu1,DING Kun2,LU Yi-xuan1,GU Qiong-yao1,LIU Xiao-li1,ZHANG Zhu-xian3,SONG Jian-rong3,LI Hua-hui1(1.Institute of Food Crops,Yunnan Academy of Agricultural Sciences,Yunnan Kunming 650205,China,2.Countryside Scientific and Technical Service Center of Yunnan,Yunnan Kunming 650251,3.Kaiyuan County Seed Management Station of Yunnan,Yunnan Kaiyuan 661000,China)
Abstract:Thirty-two Yunnan Indica and Japonica rice varieties were used to explore the relations between yield and 11 agronomic characters by means of correlation and path analysis methods in Mile county.The most contribution to the yield was from filled grains/panicle,the values(r=0.52**,P=1.34625) showed highly significant differences at 1 % level.The following was seed set(r=0.45**),and 1000-grain weight(r=0.34*,P=0.80317).Among the agronomic characters,grain length/width affected seed set negatively at 5 % signi...
Keywords:Indica and Japonica  Agronomic characters  Correlation analysis  Path analysis  
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