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作 者:于新[1] 张亚东[1] 朱镇[1] 赵凌[1] 陈涛[1] 赵庆勇[1] 周丽慧[1] 姚姝[1] 赵春芳[1] 王才林[1]
机构地区:[1]江苏省农业科学院粮食作物研究所,江苏省优质水稻工程技术研究中心,国家水稻改良中心南京分中心,江苏南京210014
出 处:《华北农学报》2013年第5期53-58,共6页Acta Agriculturae Boreali-Sinica
基 金:江苏省农业科技自主创新基金项目(CX(12)1003);现代农业产业技术体系建设专项资金项目(CARS-01-47);江苏省农业科技支撑计划项目(BE2011302);国家成果转化项目(2011GB2C100011)
摘 要:以自育的57份粳稻新品种(系)为材料,采用分子标记、化学方法、统计学方法等,对供试材料进行Wx-mq基因检测,测定各品种(系)稻米淀粉RVA谱特征值和直链淀粉含量,分析各测定值间的相关性,并分析了不同AC品种(系)的RVA谱特征值差异。结果表明:57份材料均含有Wx-mq基因;各RVA谱特征值间有较好的相关性,峰值黏度、热浆黏度、冷浆黏度之间,及其与峰值时间、回复值之间呈极显著正相关,崩解值与峰值黏度,峰值时间与消减值、回复值呈极显著正相关,糊化温度与热浆黏度、峰值时间呈显著正相关,消减值与峰值黏度、崩解值呈极显著负相关;供试材料的直链淀粉含量分布在5%~12%,集中分布在8%~11%;不同AC品种(系)间的RVA谱不尽相同,随着AC的增加,峰值黏度、热浆黏度、冷浆黏度、回复值、峰值时间与糊化温度均呈增加趋势,崩解值与消减值的变化趋势不明显。AC与热浆黏度、冷浆黏度、回复值和峰值时间呈极显著正相关,与峰值黏度呈显著正相关。结果可进一步扩充利用RVA谱特征值评价稻米蒸煮食味品质的理论依据。57 new rice varieties(lines)carrying Wx-mq gene were used as experimental materials .Marker-assis-ted selection,chemical extraction,as well as statistical methods were used to detect Wx-mq gene,to determine rice RVA profile characteristics and amylose content of all varieties ( lines) ,to study the relationship among RVA profile characteristics between RVA profile characteristics and amylose contents ( AC ) .To study the differences of RVA profile characteristics of rice varieties with different AC ,we divided these varieties into three groups ,including low AC,moderate AC and high AC .The results showed as follows:It was shown that Wx-mq gene were detected in 57 new rice varieties ( lines ) .The tight relationship among RVA profiles was found .There were very significant (P〈0.01) positive correlations among PKV,HPV,CPV,PeT and CSV,very significant positive correlations be-tween BDV and PKV,among PeT,SBV and CSV,respectively,significant(P〈0.05)positive correlations between PaT and HPV,PaT and PeT,respectively,and very significant negative correlation between SBV and PKV ,SBV and BDV. Determination of amylose content indicated that the amylose content of 57 materials were mainly distributed between 8%-11%.Varieties with different AC had different RVA profile characteristics ,when AC was higher ,PKV,HPV, CPV,CSV,PeT and PaT were higher ,and the trend of BDV and SBV were not obvious .AC was very significant posi-tively correlated to HPV ,CPV,CSV and PeT ,and significant positively correlated to PKV .The results of this study can be further expanded the theoretical basis of using RVA profile value to evaluate rice cooking and eating qualities .
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