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采用二阶多项式平滑平均的平稳化处理方法及相关系数系统聚类方法，对福建省２０个龙眼主产县（市）１９７２—１９９４年年产率的聚类分类结果表明：当阈值ｒ＝０．６９２７或Ｐ＝０．００１时，分别以福州、莆田、泉州为代表划分出３个显著的类区群，经对照龙眼品种的过氧化物同工酶谱发现，同类区不同主产县（市）主栽品种酶谱完全一致，而类区间则各不相同；当阈值ｒ＝０．５３６８或Ｐ＝０．０１划分为２个类区时，其类区间主栽品种恰分属于两酶学分类的品种群．据此，推论主栽品种的不同是形成龙眼产率差异的主要原因，且主栽品种的占有比例及其代表性应作为目标产区的选择标准，并选定分类地位最高（ｒ＝０．９４９３）的鲤城与晋江做为目标产区．再则，对目标区鲤城３６年（１９５８－１９９４年）龙眼产率的功率谱分析，其序列的２．１、２年振动周期均呈极显著，证实了有关龙眼的隔年结果或俗称的“大小年”现象．为排除非气象条件导致的周期成分，以龙眼产率ＩＹ（ｔ）为因变量及落后一个单位时间的产率ＩＹ（ｔ－１）为自变量确定出二者的经验关系为线性（Ｐ＜＜０．０１），并依此推导出气象产率的计算公式为ＱＹ（ｔ）＝ＩＹ（ｔ）＋０．７３５８．ＩＹ（ｔ－１）－１．７２０４
By using the second-order polynomial smoothing average method and the correlation coefficient clustering method, the clustering results of annual yield of 1972 main producing county (city) of Fujian Province from 1972 to 1994 showed that when the threshold r = 0 .6927, or P = 0.001, respectively, and three representative areas were identified in Fuzhou, Putian and Quanzhou. According to the peroxidase isoenzymes of longan, City) were the same, but the different ranges were different; when the threshold r = 0.5368 or P = 0.01, they were divided into two categories, Learn the classification of species groups. Therefore, it is inferred that the difference of main cultivars is the main reason for the difference in yield of longan, and the proportion of main cultivars and their representation should be the selection criteria of the target producing areas, and the highest taxonomic status (r = 0. 9493) Licheng and Jinjiang as the target area. Furthermore, the power spectrum analysis of longan yields in 36 years (1958-1994) of Licheng in the target area showed that the 2.1-year and 2-year vibration periods of the sequences were extremely significant, confirming the results of the second year of the longan or commonly known “Year of the Year” phenomenon. In order to exclude the periodic components caused by non-weather conditions, the empirical relationship between the two was determined linearly with the longan yield IY (t) as the dependent variable and the yield IY (t-1) lagging behind as a unit time (P < <0.01), and deduced the formula of meteorological productivity as QY (t) = IY (t) +0.7358. IY (t-1) -1.7204