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。
[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. [ Method ] 100 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 (R^2〉0.98). So, applying the HMW-GS composition, eight hand-extended noodle quality indexes could be forecasted more accurately. [ Conclusion ] Results 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.
出处
《中国农业科学》
CAS
CSCD
北大核心
2006年第12期2415-2421,共7页
Scientia Agricultura Sinica
基金
甘肃省自然基金项目暨中青年科技基金项目(ZS021-A25-045-N)
云南省自然科学基金项目(2004C0004R)