The contents of dry matter, crude fat, crude protein, neutral detergent fiber, acid detergent fiber, crude ash, Ca and P in 43 Saccharum spontaneum L.germplasms during the vegetative period were determined. Among them...The contents of dry matter, crude fat, crude protein, neutral detergent fiber, acid detergent fiber, crude ash, Ca and P in 43 Saccharum spontaneum L.germplasms during the vegetative period were determined. Among them, the crude protein, crude fat, neutral detergent fiber, acid detergent fiber, P and Ca contents were treated as the judging indicators. The nutritional value evaluation was carried out with the analytic hierarchy process(AHP). The results showed A49(Guangxi)had the highest nutritional value. Its dry matter, crude protein, crude fat, crude ash,neutral detergent fiber, acid detergent fiber, Ca and P contents were 32.35%,7.20%, 4.06%, 8.07%, 75.81%, 50.72%, 0.23% and 0.16% respectively. While A3(Guangdong) had the lowest nutritional value. Its dry matter, crude protein, crude fat, crude ash, neutral detergent fiber, acid detergent fiber, Ca and P contents were32.24%, 4.62%, 0.51%, 6.38%, 46.40%, 40.02%, 0.15% and 0.09% respectively.The crude protein content differed significantly among different germplasms. A48 had the highest crude protein content(9.11%), and A14 had the lowest crude protein content(3.72%). Based on the evaluation results, the 43 Saccharum spontaneum L.germplasms were divided into 3 groups: high-nutritional value type, moderate-nutritional value type and low-nutritional value type. We hoped to provide a theoretical reference for the application of Saccharum spontaneum L. as a forage grass.展开更多
Geological disasters not only cause economic losses and ecological destruction, but also seriously threaten human survival. Selecting an appropriate method to evaluate susceptibility to geological disasters is an impo...Geological disasters not only cause economic losses and ecological destruction, but also seriously threaten human survival. Selecting an appropriate method to evaluate susceptibility to geological disasters is an important part of geological disaster research. The aims of this study are to explore the accuracy and reliability of multi-regression methods for geological disaster susceptibility evaluation, including Logistic Regression(LR), Spatial Autoregression(SAR), Geographical Weighted Regression(GWR), and Support Vector Regression(SVR), all of which have been widely discussed in the literature. In this study, we selected Yunnan Province of China as the research site and collected data on typical geological disaster events and the associated hazards that occurred within the study area to construct a corresponding index system for geological disaster assessment. Four methods were used to model and evaluate geological disaster susceptibility. The predictive capabilities of the methods were verified using the receiver operating characteristic(ROC) curve and the success rate curve. Lastly, spatial accuracy validation was introduced to improve the results of the evaluation, which was demonstrated by the spatial receiver operating characteristic(SROC) curve and the spatial success rate(SSR) curve. The results suggest that: 1) these methods are all valid with respect to the SROC and SSR curves, and the spatial accuracy validation method improved their modelling results and accuracy, such that the area under the curve(AUC) values of the ROC curves increased by about 3%–13% and the AUC of the success rate curve values increased by 15%–20%; 2) the evaluation accuracies of LR, SAR, GWR, and SVR were 0.8325, 0.8393, 0.8370 and 0.8539, which proved the four statistical regression methods all have good evaluation capability for geological disaster susceptibility evaluation and the evaluation results of SVR are more reasonable than others; 3) according to the evaluation results of SVR, the central-southern Yunnan Province are the highest sus-ceptibility areas and the lowest susceptibility is mainly located in the central and northern parts of the study area.展开更多
基金Supported by the Tropical Forage Grass Germplasm Conservation Project of Ministry of Agriculture(2011BAD17B01-01-5)Modern Agriculture Talent Support Program(No.PZS083)Tropical Crops Germplasm Conservation Project(12RZZY-09)
文摘The contents of dry matter, crude fat, crude protein, neutral detergent fiber, acid detergent fiber, crude ash, Ca and P in 43 Saccharum spontaneum L.germplasms during the vegetative period were determined. Among them, the crude protein, crude fat, neutral detergent fiber, acid detergent fiber, P and Ca contents were treated as the judging indicators. The nutritional value evaluation was carried out with the analytic hierarchy process(AHP). The results showed A49(Guangxi)had the highest nutritional value. Its dry matter, crude protein, crude fat, crude ash,neutral detergent fiber, acid detergent fiber, Ca and P contents were 32.35%,7.20%, 4.06%, 8.07%, 75.81%, 50.72%, 0.23% and 0.16% respectively. While A3(Guangdong) had the lowest nutritional value. Its dry matter, crude protein, crude fat, crude ash, neutral detergent fiber, acid detergent fiber, Ca and P contents were32.24%, 4.62%, 0.51%, 6.38%, 46.40%, 40.02%, 0.15% and 0.09% respectively.The crude protein content differed significantly among different germplasms. A48 had the highest crude protein content(9.11%), and A14 had the lowest crude protein content(3.72%). Based on the evaluation results, the 43 Saccharum spontaneum L.germplasms were divided into 3 groups: high-nutritional value type, moderate-nutritional value type and low-nutritional value type. We hoped to provide a theoretical reference for the application of Saccharum spontaneum L. as a forage grass.
基金National Natural Science Foundation of China,No.41571077,No.41171318The Fundamental Research Funds for the Central Universities
文摘Geological disasters not only cause economic losses and ecological destruction, but also seriously threaten human survival. Selecting an appropriate method to evaluate susceptibility to geological disasters is an important part of geological disaster research. The aims of this study are to explore the accuracy and reliability of multi-regression methods for geological disaster susceptibility evaluation, including Logistic Regression(LR), Spatial Autoregression(SAR), Geographical Weighted Regression(GWR), and Support Vector Regression(SVR), all of which have been widely discussed in the literature. In this study, we selected Yunnan Province of China as the research site and collected data on typical geological disaster events and the associated hazards that occurred within the study area to construct a corresponding index system for geological disaster assessment. Four methods were used to model and evaluate geological disaster susceptibility. The predictive capabilities of the methods were verified using the receiver operating characteristic(ROC) curve and the success rate curve. Lastly, spatial accuracy validation was introduced to improve the results of the evaluation, which was demonstrated by the spatial receiver operating characteristic(SROC) curve and the spatial success rate(SSR) curve. The results suggest that: 1) these methods are all valid with respect to the SROC and SSR curves, and the spatial accuracy validation method improved their modelling results and accuracy, such that the area under the curve(AUC) values of the ROC curves increased by about 3%–13% and the AUC of the success rate curve values increased by 15%–20%; 2) the evaluation accuracies of LR, SAR, GWR, and SVR were 0.8325, 0.8393, 0.8370 and 0.8539, which proved the four statistical regression methods all have good evaluation capability for geological disaster susceptibility evaluation and the evaluation results of SVR are more reasonable than others; 3) according to the evaluation results of SVR, the central-southern Yunnan Province are the highest sus-ceptibility areas and the lowest susceptibility is mainly located in the central and northern parts of the study area.
