Suffering from fragile environment, poor accessibility and infrastructure, as well as social,political and economic marginality, the interprovincial mountain geographical entities are difficult areas for the regional ...Suffering from fragile environment, poor accessibility and infrastructure, as well as social,political and economic marginality, the interprovincial mountain geographical entities are difficult areas for the regional governance in China.By analyzing the spatial patterns and the influencing factors of the interprovincial mountain geographical names(IMGNs), the goal of this research is to clarify the geographical features of IMGNs and offer alternatives for the management of interprovincial mountain regions in China. The spatial visualization,the analysis of spatial agglomeration and the influencing factors of IMGNs were all implemented under a geographical information system. Results showed that there were 6869 IMGNs in China according to the database of "China's Second National Survey of Geographical Names(2014-2018)",including 4209 mountain geographical names, 1684 mountain peak geographical names and 976 the other mountain geographical names. Hunan Province had the largest number of names while Shanghai had the smallest number of names. In addition, the spatial variance of the mountain peak names and the mountain names were larger than that of the other mountain geographical names, and the IMGNs showed a significant clustering phenomenon in the southern part of China. The relative elevation and the population had an impact on the distribution of the IMGNs. The largest number of the names occurred where the relative elevation was between 1000-2000 m and where the population was between 40-50 million. Density of unnamed interprovincial mountain geographical entities declined from west to east in China. The analysis of generic names of different types of IMGNs implied that the naming of IMGNs is inconsistent. Based on these analyses, it is suggested that the government should take the IMGNs as management units, strengthen the naming of unnamed interprovincial mountain geographical entities, standardize the generic names of IMGNs and identify areas of poverty based on the survey of IMGNs.展开更多
Carcass,meat quality,and feather-down traits of 123 geese from an F_1 population of Wanxi White goose(male parent)and Sichuan White goose(female parent)were measured,and an additional 12 compound indices were construc...Carcass,meat quality,and feather-down traits of 123 geese from an F_1 population of Wanxi White goose(male parent)and Sichuan White goose(female parent)were measured,and an additional 12 compound indices were constructed from the single traits,using factor analysis.The coding region of melanocortin receptor-4(MC4R)gene was amplified by PCR and the products were digested with four restriction endonucleases Hinf I,Ear I,Pst I,and Pvu II to detect restriction fragment length polymorphism(RFLP)in the MC4R gene,to analyze its associations with the traits.The only RFLP was exposed by digesting with Hinf I indicating two genotypes,HH and Hh,with frequencies of allele H and h being 0.8902 and 0.1098 in the F_1 population.Significant effects of genotype HH were found on carcass weight,eviscerated weight(with giblet),liver weight,heart weight,stomach percentage,abdominal fat percentage,breast muscle drip water loss and down proportion and many of the compound indices,and all genotypic contribution percentages(CP,genotypic effect on the population mean)were between-5%and 5%;effects of genotype Hh with the MC4R gene mutation,were not significant.Effects of genotype Hh were significant on two of the compound indices related to fat deposition:the fat index(CP=3.314%,P<0.05)and fatty acid quality(CP=1.218%,P<0.05).展开更多
基金supported by the Project of "Atlas of the People's Republic of China (New Century Edition)”funded by Ministry of Science and Technology, China (No. 2013FY112800)
文摘Suffering from fragile environment, poor accessibility and infrastructure, as well as social,political and economic marginality, the interprovincial mountain geographical entities are difficult areas for the regional governance in China.By analyzing the spatial patterns and the influencing factors of the interprovincial mountain geographical names(IMGNs), the goal of this research is to clarify the geographical features of IMGNs and offer alternatives for the management of interprovincial mountain regions in China. The spatial visualization,the analysis of spatial agglomeration and the influencing factors of IMGNs were all implemented under a geographical information system. Results showed that there were 6869 IMGNs in China according to the database of "China's Second National Survey of Geographical Names(2014-2018)",including 4209 mountain geographical names, 1684 mountain peak geographical names and 976 the other mountain geographical names. Hunan Province had the largest number of names while Shanghai had the smallest number of names. In addition, the spatial variance of the mountain peak names and the mountain names were larger than that of the other mountain geographical names, and the IMGNs showed a significant clustering phenomenon in the southern part of China. The relative elevation and the population had an impact on the distribution of the IMGNs. The largest number of the names occurred where the relative elevation was between 1000-2000 m and where the population was between 40-50 million. Density of unnamed interprovincial mountain geographical entities declined from west to east in China. The analysis of generic names of different types of IMGNs implied that the naming of IMGNs is inconsistent. Based on these analyses, it is suggested that the government should take the IMGNs as management units, strengthen the naming of unnamed interprovincial mountain geographical entities, standardize the generic names of IMGNs and identify areas of poverty based on the survey of IMGNs.
基金supported by a loth 5-year personwith-ability prject of Anhui province,Natural Science Foundation of Anhui Educational Institution(No.2006KJ/69B)Key Scientific Project of Anhui Provincial Department of Science and Technology(No.07020303055,08010302070)
文摘Carcass,meat quality,and feather-down traits of 123 geese from an F_1 population of Wanxi White goose(male parent)and Sichuan White goose(female parent)were measured,and an additional 12 compound indices were constructed from the single traits,using factor analysis.The coding region of melanocortin receptor-4(MC4R)gene was amplified by PCR and the products were digested with four restriction endonucleases Hinf I,Ear I,Pst I,and Pvu II to detect restriction fragment length polymorphism(RFLP)in the MC4R gene,to analyze its associations with the traits.The only RFLP was exposed by digesting with Hinf I indicating two genotypes,HH and Hh,with frequencies of allele H and h being 0.8902 and 0.1098 in the F_1 population.Significant effects of genotype HH were found on carcass weight,eviscerated weight(with giblet),liver weight,heart weight,stomach percentage,abdominal fat percentage,breast muscle drip water loss and down proportion and many of the compound indices,and all genotypic contribution percentages(CP,genotypic effect on the population mean)were between-5%and 5%;effects of genotype Hh with the MC4R gene mutation,were not significant.Effects of genotype Hh were significant on two of the compound indices related to fat deposition:the fat index(CP=3.314%,P<0.05)and fatty acid quality(CP=1.218%,P<0.05).