[Objective] The aim was to establish an effective method for the identification of genetic relationships among different varieties in Musa paradisaca. [Method] Based on the diversity of mitochondria DNA intron sequenc...[Objective] The aim was to establish an effective method for the identification of genetic relationships among different varieties in Musa paradisaca. [Method] Based on the diversity of mitochondria DNA intron sequence among different varieties of M. paradisaca,an intron of cytochrome oxidase subunit II gene in mitochondria DNA genome was amplified and sequenced. And then the cluster analysis was used to classify 16 varieties of M. paradisaca,which belonged to five genotypes （AAA,AA,AAB,ABB and BB）. [Result] The 16 varieties of M. paradisaca could be divided to three classes：the first class contained one variety,the genotype of which was BB; the second class contained seven varieties,the genotype of which was ABB; the third class contained eight varieties,the genotypes of which included AA,AAA,AAB and BB. The new varieties YiXian 1,2 and 3 showed the nearest relationship with FenZa. [Conclusion] The result of classification was consistent with the genotypes,thus verified the feasibility and effectiveness of the new method in the genetic relationship identification of M. paradisaca germplasm.展开更多
Five factors expressing greenbelt quality and one factor expressing quantity were adopted for evaluation of the residential greenbelt, and the AHP （Analytical Hierarchy Process） method was used to determine the valu...Five factors expressing greenbelt quality and one factor expressing quantity were adopted for evaluation of the residential greenbelt, and the AHP （Analytical Hierarchy Process） method was used to determine the value of factors. Thirty residential areas were selected as the samples. Two principal components were extracted and their expression was constructed by method of factor anlysis, therefore, quality evaluation of residential greenbelt was obtained. The accuracy of the function and implement quality classification toward the residential greenbelts in Xinxiang City were validated by clustering analysis method. The results showed that the greenbelt quality of fourteen residential areas was higher than the average level, of which eleven were newly-built residential areas. The 30 residential areas were classified into three types according to their greenbelt features and their formation by clustering analysis method. Finally rational proposal basing on aforesaid evaluating results was proposed for construction and renewal of residential greenbelt, upon which directive basis was provided for construction and renewal of residential greenbelt.展开更多
From the perspective of tourism competitiveness,the paper takes 12 island counties of China as the research object,and applies the method of factor analysis to study their competitiveness.The result shows that Putuo a...From the perspective of tourism competitiveness,the paper takes 12 island counties of China as the research object,and applies the method of factor analysis to study their competitiveness.The result shows that Putuo and Dinghai are more competitive while Pingtan and Nan'ao are less competitive.Finally,the 12 island counties are divided into four styles:first-class competitive county (Putuo),seond-class competitive counties (Dinghai,Yuhuan),third-class competitive counties (Chongming,Daishan,Changdao,Changhai and Shengsi),fourth-class competitive counties (Dongshan,Dongtou,Pingtan and Nan'ao) by cluster analysis.The classification of island counties is to clear their relative position,then to promote their development.展开更多
文摘[Objective] The aim was to establish an effective method for the identification of genetic relationships among different varieties in Musa paradisaca. [Method] Based on the diversity of mitochondria DNA intron sequence among different varieties of M. paradisaca,an intron of cytochrome oxidase subunit II gene in mitochondria DNA genome was amplified and sequenced. And then the cluster analysis was used to classify 16 varieties of M. paradisaca,which belonged to five genotypes （AAA,AA,AAB,ABB and BB）. [Result] The 16 varieties of M. paradisaca could be divided to three classes：the first class contained one variety,the genotype of which was BB; the second class contained seven varieties,the genotype of which was ABB; the third class contained eight varieties,the genotypes of which included AA,AAA,AAB and BB. The new varieties YiXian 1,2 and 3 showed the nearest relationship with FenZa. [Conclusion] The result of classification was consistent with the genotypes,thus verified the feasibility and effectiveness of the new method in the genetic relationship identification of M. paradisaca germplasm.
基金supported by the Science and Technology Project of Henan Provincial Science and Technology Department (No.0424490012 )Major Program of Henan Institute of Science and Technology (No.040132)
文摘Five factors expressing greenbelt quality and one factor expressing quantity were adopted for evaluation of the residential greenbelt, and the AHP （Analytical Hierarchy Process） method was used to determine the value of factors. Thirty residential areas were selected as the samples. Two principal components were extracted and their expression was constructed by method of factor anlysis, therefore, quality evaluation of residential greenbelt was obtained. The accuracy of the function and implement quality classification toward the residential greenbelts in Xinxiang City were validated by clustering analysis method. The results showed that the greenbelt quality of fourteen residential areas was higher than the average level, of which eleven were newly-built residential areas. The 30 residential areas were classified into three types according to their greenbelt features and their formation by clustering analysis method. Finally rational proposal basing on aforesaid evaluating results was proposed for construction and renewal of residential greenbelt, upon which directive basis was provided for construction and renewal of residential greenbelt.
基金supported by a grant from Shandong Social Science Planning Project in 2010 (Grant No:10CJGJ22)Ocean University of China Young Teachers Special Fund Project in 2010 (Grant No:201013070)
文摘From the perspective of tourism competitiveness,the paper takes 12 island counties of China as the research object,and applies the method of factor analysis to study their competitiveness.The result shows that Putuo and Dinghai are more competitive while Pingtan and Nan'ao are less competitive.Finally,the 12 island counties are divided into four styles:first-class competitive county (Putuo),seond-class competitive counties (Dinghai,Yuhuan),third-class competitive counties (Chongming,Daishan,Changdao,Changhai and Shengsi),fourth-class competitive counties (Dongshan,Dongtou,Pingtan and Nan'ao) by cluster analysis.The classification of island counties is to clear their relative position,then to promote their development.
