[Objective] The research aimed to provide the genetic basis for the protection, development and utilization of Guizhou local pig breeds. [Method] From 27 pairs of porcine microsatellite primers recommended by Food and...[Objective] The research aimed to provide the genetic basis for the protection, development and utilization of Guizhou local pig breeds. [Method] From 27 pairs of porcine microsatellite primers recommended by Food and Agriculture Organization of the United Nations （FAO） and international Society for Animal Genetics （ISAG）, six pairs （S0155, SW240, IGF1, SW951, SW857, SW24） were selected for microsatellite DNA detection of three Guizhou local pig breeds, including Nuogu Pig, Kele Pig and Guanling Pig. Subsequently, their genetic diversities were analyzed. [ Result] The three pig breeds were high polymorphic at the six microsatellite loci （PIC 〉0.5）. The Nei＇s standard genetic distance of them was 0.206 3 -0.481 5. The genetic distance between Nuogu Pig and Kele Pig Was the closest, and that between Nuogu Pig and Guanling Pig was the furthest. [ Conclusion] The three Guizhou local pig breeds are in high genetic diversities. Nuogu Pig is a special type of Kele Pig, an excellent Chinese local pig breed.展开更多
Guizhou Province is one of the least developed areas with the largest number of counties in poverty and the widest coverage of karst landscape in China. The vulnerability of its karst eco-environment seriously threate...Guizhou Province is one of the least developed areas with the largest number of counties in poverty and the widest coverage of karst landscape in China. The vulnerability of its karst eco-environment seriously threatens the survival of local residents and the development of local economy. Rapid population growth results in higher demand of various resources, which leads to more intensive development activities. For example, the blindfolded development on steep slopes has caused rock desertification of local rare soil in this karst area. It has induced a vicious circle in the poverty -> population growth -> ecosystem degradation and so on. About 3.13 x 10(6) people belong to the absolute impoverished population in Guizhou Province and most of them are living in rock-desertification areas. The essential reasons for destitution are the atrocious eco-environment and the huge population stress. Degradation of mountain ecosystems in southwestern China has continued at unprecedented speed and scale in recent decades. It is necessary to control population growth strictly and prevent further expansion of rock-desertification in order to develop local economy and better living conditions for local people. The only way to ensure a sustainable, stable and harmonious development of human, nature and economy is to restore a good condition of eco-environment and resolve the conflicts between human and land use.展开更多
The use of high As-bearing coals has caused more than 3,000 cases of arsenosis patients in southwest Guizhou Province, China. The mode of occurrence of arsenic in coal is an important key role in understanding its beh...The use of high As-bearing coals has caused more than 3,000 cases of arsenosis patients in southwest Guizhou Province, China. The mode of occurrence of arsenic in coal is an important key role in understanding its behavior during usage and damage pathway to human health. Coal samples from endemic arsenosis areas were analyzed with INAA, EMPA, SEM-EDX, LTA, XRD, XAFS, and sequential leaching experiment. Arsenic in pyrite is from under the limit of EMPA to 1.75%, and in most cases, the content of arsenic is lower than 0.5%. Besides pyrite and arsenopyrite, SEM-EDX combined with LTA and XRD find that sulfates, clay and phosphates also contain arsenic. XAFS shows that arsenic mainly exists in the form of As^5＋. More than 50% of arsenic stayes in residual solid and combined with organic matrix in two samples, but most arsenic is leached out in other samples. The occurrence of such exceptionally high As contents in coal and the fact that the arsenic is dominantly organically associated are unique observations.展开更多
This study uses DEM （Digital Elevation Model） data and remote sensing maps of the study area in 1993, 1999, and 2009 to analyze the slope gradient change of land use patterns in Qiandongnan Prefecture, Guizhou provi...This study uses DEM （Digital Elevation Model） data and remote sensing maps of the study area in 1993, 1999, and 2009 to analyze the slope gradient change of land use patterns in Qiandongnan Prefecture, Guizhou province, China. The land use data were classified into five types, forest, farmland, grassland, water and built-up, the slope gradients were divided into four grades. Indices for analyzing land use features were defined by their proportions, transformation matrixes, land use degree and changes The results showed that all land use types can be found at every gradient. Generally, with the slope degree increased, the area of forest being augmented as well, while the area of the other land use types （farmland, grassland and build-up） declined. Moreover, a mass of farmland were shifted from other land use types from o° to 25°, while a quantity of forest were transformed from the other land use types on 〉 25° from 2993 to 2009. In terms of land use degree and changes, the area of farmland and buildup land use types decreased when slope degree increased. Finally, we calculated the five landscape pattern metrics： Patch Density （PD） value, Largest Patch Index （LPI）, Shannon＇s Diversity Index （SHDI）, Area-Weighted Mean Shape Index （AWMSI） and Contagion Index （CONTAG）. The results of metricsanalysis showed that PD values, SHDI values and CONTA values had a similar variation trend, that is, they decreased when slope degree increased. There was no obvious variation trend on LPI value.展开更多
基金Supported by Key Project of Agriculture in Guizhou Province (NY[2008]3042)~~
文摘[Objective] The research aimed to provide the genetic basis for the protection, development and utilization of Guizhou local pig breeds. [Method] From 27 pairs of porcine microsatellite primers recommended by Food and Agriculture Organization of the United Nations （FAO） and international Society for Animal Genetics （ISAG）, six pairs （S0155, SW240, IGF1, SW951, SW857, SW24） were selected for microsatellite DNA detection of three Guizhou local pig breeds, including Nuogu Pig, Kele Pig and Guanling Pig. Subsequently, their genetic diversities were analyzed. [ Result] The three pig breeds were high polymorphic at the six microsatellite loci （PIC 〉0.5）. The Nei＇s standard genetic distance of them was 0.206 3 -0.481 5. The genetic distance between Nuogu Pig and Kele Pig Was the closest, and that between Nuogu Pig and Guanling Pig was the furthest. [ Conclusion] The three Guizhou local pig breeds are in high genetic diversities. Nuogu Pig is a special type of Kele Pig, an excellent Chinese local pig breed.
基金Important Program of West Development of China(No.2003 BA901A12)
文摘Guizhou Province is one of the least developed areas with the largest number of counties in poverty and the widest coverage of karst landscape in China. The vulnerability of its karst eco-environment seriously threatens the survival of local residents and the development of local economy. Rapid population growth results in higher demand of various resources, which leads to more intensive development activities. For example, the blindfolded development on steep slopes has caused rock desertification of local rare soil in this karst area. It has induced a vicious circle in the poverty -> population growth -> ecosystem degradation and so on. About 3.13 x 10(6) people belong to the absolute impoverished population in Guizhou Province and most of them are living in rock-desertification areas. The essential reasons for destitution are the atrocious eco-environment and the huge population stress. Degradation of mountain ecosystems in southwestern China has continued at unprecedented speed and scale in recent decades. It is necessary to control population growth strictly and prevent further expansion of rock-desertification in order to develop local economy and better living conditions for local people. The only way to ensure a sustainable, stable and harmonious development of human, nature and economy is to restore a good condition of eco-environment and resolve the conflicts between human and land use.
文摘The use of high As-bearing coals has caused more than 3,000 cases of arsenosis patients in southwest Guizhou Province, China. The mode of occurrence of arsenic in coal is an important key role in understanding its behavior during usage and damage pathway to human health. Coal samples from endemic arsenosis areas were analyzed with INAA, EMPA, SEM-EDX, LTA, XRD, XAFS, and sequential leaching experiment. Arsenic in pyrite is from under the limit of EMPA to 1.75%, and in most cases, the content of arsenic is lower than 0.5%. Besides pyrite and arsenopyrite, SEM-EDX combined with LTA and XRD find that sulfates, clay and phosphates also contain arsenic. XAFS shows that arsenic mainly exists in the form of As^5＋. More than 50% of arsenic stayes in residual solid and combined with organic matrix in two samples, but most arsenic is leached out in other samples. The occurrence of such exceptionally high As contents in coal and the fact that the arsenic is dominantly organically associated are unique observations.
基金supported by the National Natural Science Foundation of China (Grant No. 31370480)111 Project (B08044)Minzu University of China (MUC98507-08)
文摘This study uses DEM （Digital Elevation Model） data and remote sensing maps of the study area in 1993, 1999, and 2009 to analyze the slope gradient change of land use patterns in Qiandongnan Prefecture, Guizhou province, China. The land use data were classified into five types, forest, farmland, grassland, water and built-up, the slope gradients were divided into four grades. Indices for analyzing land use features were defined by their proportions, transformation matrixes, land use degree and changes The results showed that all land use types can be found at every gradient. Generally, with the slope degree increased, the area of forest being augmented as well, while the area of the other land use types （farmland, grassland and build-up） declined. Moreover, a mass of farmland were shifted from other land use types from o° to 25°, while a quantity of forest were transformed from the other land use types on 〉 25° from 2993 to 2009. In terms of land use degree and changes, the area of farmland and buildup land use types decreased when slope degree increased. Finally, we calculated the five landscape pattern metrics： Patch Density （PD） value, Largest Patch Index （LPI）, Shannon＇s Diversity Index （SHDI）, Area-Weighted Mean Shape Index （AWMSI） and Contagion Index （CONTAG）. The results of metricsanalysis showed that PD values, SHDI values and CONTA values had a similar variation trend, that is, they decreased when slope degree increased. There was no obvious variation trend on LPI value.
