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果实大小整齐度是果树种质资源的重要经济性状。当前对这一性状的描述评价方法和标准,不符合规范化的要求。目测印象法和极差法将评价对象分成整齐与不整齐二级或整齐、较整齐和不整齐三级,误差很大,不宜采用。变异系数法(CV法)按果重的变异系数制定具体的分级标准,评价客观合理。然而,在评价时必须对每份资源的大量果实逐个称重,方能算出变异系数,故难以实施。作者在全国山楂资源考察中设计了一种整齐度系数法(CR法),精确简便,切实可行。测得的CR值与CV值相关系数在0.99以上,按CR排序和按CV排序,序次相关系数也达极显著水准。CV法评价每份资源耗时约40分钟,CR法仅需4分钟左右,可提高效率10倍。CR法可广泛用于各种果实大小整齐度及大田作物种粒整齐度的评价。
Fruit size uniformity is an important economic traits of fruit germplasm resources. The current description of the trait evaluation methods and standards, does not meet the standardization requirements. Visual impression method and range method will be divided into the evaluation object is divided into neat and irregular secondary or neat, neat and irregular three levels, the error is very large, should not be used. Coefficient of variation (CV method) according to the coefficient of variation of fruit weight to develop a specific grading standards, evaluation objective and reasonable. However, in the evaluation, a large amount of fruit of each resource must be weighed so as to calculate the coefficient of variation, which makes it difficult to implement. The author designed a measure of uniformity coefficient (CR method) in the investigation of the hawthorn resources in the whole country, which is accurate, simple and practical. The correlation coefficient between the measured CR value and CV value was above 0.99, sorted by CR and sorted by CV, and the correlation coefficient of ordinal correlation reached an extremely significant level. CV method evaluation of each resource takes about 40 minutes, CR method only about 4 minutes, can improve the efficiency of 10 times. CR method can be widely used in a variety of fruit size uniformity and field crop grain uniformity assessment.