小麦抗旱生态分类中适合性聚类方法的研究

应用生态学报 ›› 2000, Vol. ›› Issue (6): 833-838.

小麦抗旱生态分类中适合性聚类方法的研究

柴守玺

中国科学院水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室, 杨凌712100

收稿日期:1999-12-06 修回日期:2000-05-26 出版日期:2000-12-25
通讯作者: 柴尔玺,男,1963年生,博士,副教授,主要从事小麦抗旱生态生理方面研究,已发表论文16篇.E-mail:csxlg@public.lz.gs.cn
基金资助:
中国科学院水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点开放实验室资助项目(9812)

Cluster analysis methods appropriate for classification of drought-resistant wheat ecotypes

CHAI Shouxi

State Key Laboratory of Soil Erosion and Dry Land Farming on Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling 712100

Received:1999-12-06 Revised:2000-05-26 Online:2000-12-25

摘要/Abstract

摘要： 探索了适合于小麦品种抗旱生态分类的聚类方法.选用21个农艺性状和15个冬小麦品种(系),在聚类分析的各环节上,通过采用不同的策略,大规模进行了各种分类结果的比较.结果表明,在与专家经验分类接近程度上,数据转换方法中,原始数据法依次大于普通相关阵基础上的方差极大正交旋转法、Promax斜交旋转法、主成份法;相似性度量上,欧氏距离大于马氏距离;聚类方式上,对应分析法和模糊聚类法大于最短距离法、最长距离法、类平均法;所有可组合的方法中,以对应分析法和直接用原始数据的模糊聚类法的分类结果最接近专家经验分类.结合各方法理论上优缺点的分析与检验,认为这两种方法也是较理想的方法.

Abstract: The appropriate cluster analysis methods for classification of drought-resistant wheat ecotypes were investigated,based on the analysis of 21 morphologic and agronomic characters of 15 winter wheat cultivars. According to the proximity degree to the results from experts experiences,the cluster results using original data were orderly better than those using Varimax orthogonal rotation, Promax skew intersection rotation,and principal component analysis with phenotypic mean's correlation matrix. The results using Euclidean distance were greater than those using Mahalanobis distance.The clustering methods of correspondent analysis and fuzzy cluster were better than those of nearest distance, furthest distance or group average method (UPGMA).Among all cluster results from various methods combined,the two cluster results from the fuzzy cluster using original data and from the correspondence analysis method were closest to the results of experts' experience.Based on both comparisons of results and examination of the performance of different strategies with several statistical properties, the two methods mentioned above were also acceptable.

柴守玺. 小麦抗旱生态分类中适合性聚类方法的研究[J]. 应用生态学报, 2000, (6): 833-838.

CHAI Shouxi. Cluster analysis methods appropriate for classification of drought-resistant wheat ecotypes[J]. Chinese Journal of Applied Ecology, 2000, (6): 833-838.

参考文献

[1] Beer SC, Goffreda J, Phillips TD, et al. 1993. Assessment of genetic variation in Avena sterilis using morphological traits, isozymes, and RFLPs. Crop Sci,33(6):1386～1393
[2] Beuningen LT van, Busch RH. 1997. Genetic diversity among North American spring wheat cultivars Ⅲ. Cluster analysis based on quantitative morphological traits. Crop Sci,37(3): 981～988
[3] Brown JS. 1991. Principal component and cluster analyses of cotton cultivars variability across the U. S. Cotton Belt. Crop Sci,31(4): 915～922
[4] Fang K-T(方开泰),Fan S-P(藩思沛).1982. Cluster Analysis. Beijing: Geology Press. (in Chinese)
[5] Franco J, Crossa 1, Villasenor J et al. 1997. Classifying Mexican maize accessions using hierarchical and density search methods. Crop Sci,37(3): 972～980
[6] Gao Z-R(高之仁).1986. Quantitative Genetics. Chengdu: Sichuan University Press. 236～313(in Chinese)
[7] Goodman M. 1972. Distance analysis in biology. Syst Zool,21(2): 174～186
[8] Guo P-Z(郭平仲).1989. Methods of distance analysis and heterosis. Acta Genet Sin(遗传学报),16(2):97～104(in Chinese)
[9] Hu B-M (胡秉民),Wang Zh-Q(王兆骞),Wu J-J(吴建军).1992. Structural index systems of agroecosystem and their quantitative methods. Chin J Appl Ecol(应用生态学报),3(2): 144～148(in Chinese)
[10] Jiang Z-Sh(蒋佐升).1988. Comparison analysis of three cluster methods for crop breeding. J Hunan Agric Colle(湖南农学院学报),14(1):7～15(in Chinese)
[11] Ke W-S(柯文山),Zhong Zh-Ch(钟章成).1999. Multivariate and SAD analysis of Gordonia acuminata climatic ecotype. Chin J Appl Ecol(应用生态学报),10(5): 529～533(in Chinese)
[12] Liu C-Y(刘垂).1991. Multivariate Analysis of Genetics for Quantitative Characters in Crops. Beijing: Agriculture Press. 1～58, 232～248(in Chinese)
[13] Long M-Y(龙漫远).1986. On the application of fuzzy clustering to plant breeding. J Sichuan Agric Univ(四川农业大学学报),4(2):239～247(in Chinese)
[14] Long M-Y(龙漫远).1987. The methods for measuring genetic distance and the relationship between yield heterosis/specific combining ability and genetic distance in maize(Zea mays L.). Acta Agro Sin (作物学报),13(8):193～199(in Chinese)
[15] Luo J-Y(罗积玉),Xing Y(邢瑛)1987. Statistic Methods and Forecast on Economics. Beijing: Qinghua University Press. 156～289(in Chinese)
[16] Men D-S(孟德顺),Guo M-C(郭满才).1996. A note on correspondence analysis method. J Northwest For Colle(西北林学院学报),11(3):78～81(in Chinese)
[17] Ven WTG van de, Duncan N, Ramsay G et al. 1993. Taxonomic relationships between V. faba and its relatives based on nuclear and mitochondrial RFLPs and PCR analysis. Theor Appl Genet, 86(1): 71～80
[18] Wang M(汪敏)(钱吉),Zheng Sh-Zh(郑师章).1998.Isozymes of different geographic populations of Leymus chinensis. Chin J Appl Ecol(应用生态学报),9(3):269～272(in Chinese)
[19] Wang N-X(王乃信).1987. Some problems concerning cluster analysis. J Northwest Agric Univ(西北农业大学学报),15(4): 55～61(in Chinese)
[20] Williams WT. 1971. Principles of clustering. Ann Rev Ecol Syst, 2:303～326
[21] Zhou J-Y(周静芋),Song Sh-D(宋世德),Yuan Zh-F(袁志发).1996. Problems in numerical taxonomy with PCA. J Northzoest Agric Univ(西北农业大学学报),24(5): 95～98(in Chinese)