中国农业科学2024，Vol.57Issue(16)：3105-3115,中插1,12.DOI:10.3864/j.issn.0578-1752.2024.16.001
长三角地区半糯粳稻外观品质的评价
Preliminary Study on Appearance Quality Evaluation of Semi-Waxy Rice in Yangtze River Delta Region
摘要
Abstract
[Objective]Due to the cloudy and translucent appearance characteristics of semi-waxy rice,there is a lack of effective evaluation methods in the industry at present.It is necessary to construct an evaluation method for the appearance quality of semi-waxy,and classify the appearance quality of semi-waxy rice,so as to provide technical support for the standardization and development of semi-waxy rice industry.[Method]In this study,according to GB/T 15682-2008"Grain and Oil Inspection of rice,Rice cooking and edible quality sensory evaluation method",the appearance quality score of semi-waxy rice was obtained by artificial evaluation method,and various appearance indexes of semi-waxy rice were measured,including chalkiness,transparency,grain type and color space related indexes.Pearson correlation coefficient,max-relevance and min-redundancy,competitive adaptive reweighted sampling and intersection feature selection methods were used to analyze the relationship between chalkiness,transparency,grain shape and color space related indicators and the appearance sensory score of semi-waxy rice,and select the core indicators that can determine the appearance quality of semi-waxy rice for constructing and verification of semi-waxy rice appearance evaluation model.Finally,the model was used to estimate the overall appearance quality of semi-waxy rice in the Yangtze River Delta region and graded according to the estimated score.[Result]Through comparing the estimation accuracy and stability of four models,this study found that the semi-waxy rice appearance evaluation model,represented by the equation Y=5.68+0.17X4+0.19X6-0.03X9-0.12X10,demonstrated the highest accuracy and stability.This model was constructed using chalk rice transparency(X4),overall transparency(X6),chalkiness(X9),and L*(X10),which were selected by the intersection feature selection method.Notably,this model incorporates the fewest number of indicators,with a coefficient of determination(R2)of 0.86 during model validation and a simulated root mean square error(RMSE)of 0.32.After using this model to estimate the appearance of most of the semi-waxy rice in the three rice-growing areas of the Yangtze River Delta,It was found that the appearance scores of the first 20％,20％-50％,50％-90％and last 10％of semi-waxy rice materials in the Yangtze River Delta region in this study were greater than 0.23,-0.48-0.23,-1.68--0.48 and less than-1.68,respectively,which can represent four levels of appearance quality of semi-waxy rice in practical applications:Level 1,Level 2,Level 3,Out of level.At the same time,it was found that there were significant gradient differences in grain type,chalkiness,transparency and color space among different appearance grades of semi-waxy rice,but there were different degrees of crossover between their value ranges.[Conclusion]Using chalk rice transparency(X4),overall transparency(X6),chalkiness(X9),and L*(X10),an effective estimation model of semi-waxy rice appearance could be established:Y=5.68+0.17X4+0.19X6-0.03X9-0.12X10.With reference to the scoring range of each appearance grade of semi-waxy rice in Yangtze River Delta region,the appearance of a single semi-waxy rice material can be quickly determined by the appearance estimation score.The evaluation of semi-waxy rice by appearance estimation model is beneficial to take into account the different appearance phenotypes of semi-waxy rice,and can accurately reflect the actual situation of semi-waxy rice appearance.关键词
粳稻/半糯米/外观估测/外观特征选择/回归分析/感官评价Key words
japonica rice/semi-waxy rice/visual estimation/selection of visual features/regression analysis/sensory evaluation引用本文复制引用
范鹏,杨天乐,朱少龙,王志杰,张明月,魏海燕,刘国栋..长三角地区半糯粳稻外观品质的评价[J].中国农业科学,2024,57(16):3105-3115,中插1,12.基金项目
国家自然科学基金(32372215,32372212)、江苏省自然科学基金优秀青年基金(BK20220115)、国家水稻产业技术体系(CARS-01)、江苏省农业科技自主创新资金(CX(22)3152)、江苏省高等学校重点学科专业建设(PAPD)、江苏省研究生科研创新基金(KYCX22_3506)、江苏现代农业(水稻)产业技术体系集成创新中心(JATS[2023]443) （32372215,32372212）
