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山东地方水稻品种的农艺性状与品质性状的多样性分析
引用本文:陈峰,朱其松,徐建第,孙公臣,柳发财,朱文银,张洪瑞,高洁,袁守江.山东地方水稻品种的农艺性状与品质性状的多样性分析[J].植物遗传资源学报,2012,13(3):393-397.
作者姓名:陈峰  朱其松  徐建第  孙公臣  柳发财  朱文银  张洪瑞  高洁  袁守江
作者单位:1. 山东省水稻研究所,济南,250100
2. 扬州大学农学院/教育部植物基因组学重点实验室,扬州,225009
基金项目:山东省农业良种工程项目,山东省自然科学基金项目(ZR2009DQ013,Q2008D10)
摘    要:采用多样性指数分析了102份山东水稻地方品种抽穗期、株高、穗长等13个农艺性状和蛋白质含量、直链淀粉含量、胶稠度及RVA谱特征值等12个品质性状的多样性。结果表明,山东地方水稻品种农艺性状存在较高的多样性,多样性指数(H’)范围为1.42~2.05,株高、穗颈长、每穗粒数的多样性指数较高,分别为2.01、2.02、2.05;品质性状的多样性指数范围为0.99~2.04,其中蛋白质含量、胶稠度、最高粘度、热浆粘度、崩解值的多样性指数分别为2.00、2.04、2.04、2.01、2.04。结果表明,山东地方水稻农艺性状与品质性状存在较为广泛的多样性,可为山东地方水稻品种的有效利用提供依据。

关 键 词:水稻  地方品种  农艺性状  品质性状  RVA谱  多样性指数
收稿时间:7/25/2011 9:31:19 PM
修稿时间:9/16/2011 9:36:54 AM

Diversity Analysis of Agronomic and Quality Characters of Rice Landraces in Shandong
chenfeng,and yuanshoujiang.Diversity Analysis of Agronomic and Quality Characters of Rice Landraces in Shandong[J].Journal of Plant Genetic Resources,2012,13(3):393-397.
Authors:chenfeng  and yuanshoujiang
Institution:Shandong Rice Research Institute,,,,,,,,
Abstract:Thirteen agronomic characters and 12 quality characters of 102 rice landraces from Shandong Province were investigated and analyzed using the method of diversity index(H′) to provide useful information for genetic improvement of rice(Oryz sativa L.).The results indicated that the diversity index of agronomic characters varied from 1.42 to 2.05.There were higher diversity indexes in plant height,panicle neck length,and spikeletes per panicle.Diversity index were 2.01,2.02,and 2.05,respectively.The ranges of diversity indexes of the quality characters were 0.99 to 2.04.Diversity indexes of protein content,gel consistency,peak viscosity,and hot paste viscosity and breakdown were 2.00,2.04,2.04,2.01,and 2.04,respectively.These results showed that there was an abundant genetic diversity among agronomic characters and quality characters in Shandong rice landraces.These results provides useful information to rice breeding.
Keywords:Rice (Orazy sativa L  )  landraces  gronomic characters  quality characters  RVA profile  diversity index
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