针对高寒生态区饲草生产需求,本研究系统评估了10个燕麦品种在产量、营养品质及土壤改良方面的综合表现。通过方差分析、结构方程模型和TOPSIS(technique for order preference by similarity to ideal solution)模型综合评价方法揭示...针对高寒生态区饲草生产需求,本研究系统评估了10个燕麦品种在产量、营养品质及土壤改良方面的综合表现。通过方差分析、结构方程模型和TOPSIS(technique for order preference by similarity to ideal solution)模型综合评价方法揭示品种适应性以及与土壤的互作机制,为环青海湖共和盆地草牧业发展提供科学依据。结果表明:美达、福瑞至和黑玫克表现出显著产量优势,鲜草产量50.20~54.78 t·hm^(-2),干草产量18.68~21.48 t·hm^(-2);其中艾斯克鲜干比最低(1.67),而爱沃茎叶比最低(2.19)。营养价值呈现品种特异性,楷模和爱沃粗蛋白含量8.23%~8.45%,美达和艾斯克粗脂肪含量突出(4.94%和4.85%);贝勒2纤维组分表现突出,其粗纤维、中性洗涤纤维和酸性洗涤纤维含量均表现较低,且相对饲喂价值和总可消化养分显著领先,饲用价值较优。贝勒2和福星种植区土壤磷含量表现出较高水平;楷模种植区土壤全氮和全碳含量表现出较高水平。相关性分析提示了高产燕麦品种通常伴随优质营养价值和良好的土壤生态反馈。结构方程模型显示,品种通过直接效应(路径系数0.4088~0.4368)和土壤介导的间接效应(0.0725~0.6885)共同调控产量与营养品质。TOPSIS综合评价表明,楷模综合得分最高(0.580),兼具高产特性、优质营养及良好的土壤反馈能力,可作为环青海湖共和盆地退化草地修复与草牧业发展的优选品种。展开更多
The effectiveness of fluopyram suspension concentrate against pine wilt disease(PWD)is limited by spraying efficiency and water dependence.A traditional dust formulation with strong dispersibility can overcome these s...The effectiveness of fluopyram suspension concentrate against pine wilt disease(PWD)is limited by spraying efficiency and water dependence.A traditional dust formulation with strong dispersibility can overcome these shortcomings.However,its efficacy against PWD remains uncertain.This study evaluated the translocation of fluopyram dust within tree tissues,soil and water degradation,and its effective control against PWD.Nursery tests showed effective prevention;field tests showed dust absorption and translocation into pine tissues.Thirty days following application,residual concentrations in soil were low at 0.09 mg kg^(−1);no detectable residues were found in water samples.Three years after applying fluopyram,its effectiveness increased to approximately 87%.Based on this study,fluopyram had a half-life of 346 d with persistence lasting up to three years.This provides valuable insight for managing PWD through dust applications.展开更多
Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algo...Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algorithm(GKPA).Methods The global ginsenoside invention authorized patents were used as the data source to construct a ginsenoside patent self-citation network,and to identify high knowledge persistent patents(HKPP)of ginsenoside technology based on the GKPA,and extract its high knowledge persistence main path(HKPMP).Finally,the genetic forward and backward path(GFBP)was used to search the nodes on the main path,and draw the genetic forward and backward main path(GFBMP)of ginsenoside technology.Results and Conclusion The algorithm was applied to the field of ginsenosides.The research results show the milestone patents in ginsenosides technology and the main evolution process of three key technologies,which points out the future direction for the technological development of ginsenosides.The results obtained by this algorithm are more interpretable,comprehensive and scientific.展开更多
文摘针对高寒生态区饲草生产需求,本研究系统评估了10个燕麦品种在产量、营养品质及土壤改良方面的综合表现。通过方差分析、结构方程模型和TOPSIS(technique for order preference by similarity to ideal solution)模型综合评价方法揭示品种适应性以及与土壤的互作机制,为环青海湖共和盆地草牧业发展提供科学依据。结果表明:美达、福瑞至和黑玫克表现出显著产量优势,鲜草产量50.20~54.78 t·hm^(-2),干草产量18.68~21.48 t·hm^(-2);其中艾斯克鲜干比最低(1.67),而爱沃茎叶比最低(2.19)。营养价值呈现品种特异性,楷模和爱沃粗蛋白含量8.23%~8.45%,美达和艾斯克粗脂肪含量突出(4.94%和4.85%);贝勒2纤维组分表现突出,其粗纤维、中性洗涤纤维和酸性洗涤纤维含量均表现较低,且相对饲喂价值和总可消化养分显著领先,饲用价值较优。贝勒2和福星种植区土壤磷含量表现出较高水平;楷模种植区土壤全氮和全碳含量表现出较高水平。相关性分析提示了高产燕麦品种通常伴随优质营养价值和良好的土壤生态反馈。结构方程模型显示,品种通过直接效应(路径系数0.4088~0.4368)和土壤介导的间接效应(0.0725~0.6885)共同调控产量与营养品质。TOPSIS综合评价表明,楷模综合得分最高(0.580),兼具高产特性、优质营养及良好的土壤反馈能力,可作为环青海湖共和盆地退化草地修复与草牧业发展的优选品种。
基金supported by grants from the National Key R&D Program of China(grant number 2021YFD1400900)the National Natural Science Foundation of China(grant numbers U1905201,32171805)+6 种基金the Forestry Key Program of Science and Technology in Fujian Province(grant number 2021FKJ03)the Natural Science Foundation of Fujian Province,China(grant number 2021J01056)the Forestry Programs of Science and Technology in Fujian Province[grant number Mincaizhi(2020)601]the Science and Technology Program of Fujian Province(grant number 2018N5002)the Forestry Science Research Project of Fujian Forestry Department[grant number Minlinke(2017)03]the National Major Emergency Science and Technology Program of China(grant number ZD202001)the Forestry Peak Discipline Construction Project of Fujian Agriculture and Forestry University(grant numbers 72202200205,71201800720).
文摘The effectiveness of fluopyram suspension concentrate against pine wilt disease(PWD)is limited by spraying efficiency and water dependence.A traditional dust formulation with strong dispersibility can overcome these shortcomings.However,its efficacy against PWD remains uncertain.This study evaluated the translocation of fluopyram dust within tree tissues,soil and water degradation,and its effective control against PWD.Nursery tests showed effective prevention;field tests showed dust absorption and translocation into pine tissues.Thirty days following application,residual concentrations in soil were low at 0.09 mg kg^(−1);no detectable residues were found in water samples.Three years after applying fluopyram,its effectiveness increased to approximately 87%.Based on this study,fluopyram had a half-life of 346 d with persistence lasting up to three years.This provides valuable insight for managing PWD through dust applications.
文摘Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algorithm(GKPA).Methods The global ginsenoside invention authorized patents were used as the data source to construct a ginsenoside patent self-citation network,and to identify high knowledge persistent patents(HKPP)of ginsenoside technology based on the GKPA,and extract its high knowledge persistence main path(HKPMP).Finally,the genetic forward and backward path(GFBP)was used to search the nodes on the main path,and draw the genetic forward and backward main path(GFBMP)of ginsenoside technology.Results and Conclusion The algorithm was applied to the field of ginsenosides.The research results show the milestone patents in ginsenosides technology and the main evolution process of three key technologies,which points out the future direction for the technological development of ginsenosides.The results obtained by this algorithm are more interpretable,comprehensive and scientific.
