首页 | 本学科首页   官方微博 | 高级检索  
     检索      

关于拉面品质的小麦高分子量谷蛋白亚基评分系统研究
引用本文:康志钰,王建军,尚勋武.关于拉面品质的小麦高分子量谷蛋白亚基评分系统研究[J].中国农业科学,2006,39(12):2415-2421.
作者姓名:康志钰  王建军  尚勋武
作者单位:1. 云南农业大学农学与生物技术学院,昆明,650201;甘肃农业大学农学院,兰州,730070
2. 云南农业大学农学与生物技术学院,昆明,650201
3. 甘肃农业大学农学院,兰州,730070
基金项目:甘肃省自然科学基金;云南省自然科学基金
摘    要:【目的】研究有关拉面品质的小麦高分子量麦谷蛋白亚基(HMW-GS)评分系统,提高优质拉面用小麦品种的选育效率。【方法】选用100个春小麦品种,分别测定其HMW-GS以及拉面色泽、表观状态、适口性、韧性、粘性、光滑性、食味和总评分等8项拉面评分指标,并通过数量化理论及统计学鉴评方法,研究HMW-GS与拉面评分指标的关系。【结果】亚基1、2*、N、7、7+8、17+18、22、2+10、2+11、2+12、5+10、10的拉面品质总评分分别为5.40、5.35、0、2.55、2.56、9.19、0.05、0.15、1.49、1.14、10.00、5.14。针对拉面评分指标与HMW-GS得到的评分系统包含8个多元线性回归方程(R2>0.98)。利用HMW-GS组成,能够对8个拉面评分指标进行准确预测。【结论】经综合评价,认为优质拉面小麦理想的亚基组合应为1、17+18、5+10组合或2*、17+18、5+10组合,在拉面小麦品种选育中可做为早代选择的依据;2+10、2+11和2+12亚基对拉面品质的作用普遍较低,为劣质亚基,在拉面小麦品种选育中应尽量避免出现这些亚基。

关 键 词:小麦  高分子量麦谷蛋白亚基  拉面  评分指标  评分系统
收稿时间:2005-08-25
修稿时间:2005-08-252006-05-12

Score System Study for Hand-Extended Noodle Quality Based on HMW-GS Index in Wheat Flour
KANG Zhi-yu,WANG Jian-jun,SHANG Xun-wu.Score System Study for Hand-Extended Noodle Quality Based on HMW-GS Index in Wheat Flour[J].Scientia Agricultura Sinica,2006,39(12):2415-2421.
Authors:KANG Zhi-yu  WANG Jian-jun  SHANG Xun-wu
Institution:Agronomy and Biotechnology College, Yunnan Agricultural University, Kunming 650201; 2 Agronomy College, Gansu Agricultural University, Lanzhou 730070
Abstract:Objective High Molecular Weight Glutenin Subunits (HMW-GS) in wheat are important protein subunits that affect flour quality. The study was conducted to improve breeding and selection efficiency of wheat varieties used to make hand-extended noodles. Method100 spring wheat varieties were selected to study the importance of HMW-GS on noodle quality score indexes such as color, appearance, taste, firmness, stickiness, and smoothness. Result It was shown that the hand-extended noodle quality score of HMW-GS 1, 2, N, 7, 7+8, 17+18, 22, 2+10, 2+11, 2+12, 5+10 and 10 were 5.40, 5.35, 0, 2.55, 2.56, 9.19, 0.05, 0.15, 1.49, 1.14, 10.00 and 5.14, respectively. The score system for hand-extended noodle quality based on HMW-GS index had eight multiple linear regression equations (R2>0.98). So, applying the HMW-GS composition, eight hand-extended noodle quality indexes could be forecasted more accurately. ConclusionResults indicated that ideal subunit composition of HMW-GS for this special usage were composition 1, 17+18, 5+10, or composition 2, 17+18, 5+10. This standard can be used on variety selection in early generation of breeding crosses. HMW-GS 2+10, 2+11 and 2+12 were the least desirable subunits for hand-extended noodles and should be avoided in wheat variety selection aimed for hand-extended noodle flour use.
Keywords:Wheat  HMW-GS  Hand-extended noodle  Score index  Score system
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《中国农业科学》浏览原始摘要信息
点击此处可从《中国农业科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号