花生是重要的油料作物之一,其籽仁品质直接影响加工特性,是花生品质评价的重要指标。建立花生籽仁品质高通量分析模型,快速高效地对花生籽仁品质进行评价,可显著提高花生育种效率。本研究选用宇花14与LOP215杂交构建的140个RIL家系和35...花生是重要的油料作物之一,其籽仁品质直接影响加工特性,是花生品质评价的重要指标。建立花生籽仁品质高通量分析模型,快速高效地对花生籽仁品质进行评价,可显著提高花生育种效率。本研究选用宇花14与LOP215杂交构建的140个RIL家系和35份其他品系为建模材料,使用Thermo公司生产的AntarisⅡ型傅立叶变换近红外光谱分析仪对175份样品籽仁进行光谱采集。采用索氏提取法测定籽仁含油量,杜马斯定氮法测定蛋白含量,蒽酮比色法测定糖含量,气相色谱法测定脂肪酸含量。利用偏最小二乘法(partial least squares,PLS)构建花生籽仁含油量、蛋白含量、糖含量以及部分脂肪酸含量的多粒近红外定标模型。选用未参与建模的30份花生样品对该模型进行验证,模型决定系数R~2值均大于0.9000,表明该模型可用于花生籽仁品质性状的分析预测。本研究为花生籽仁品质性状高通量表型分析提供了检测模型。展开更多
Glacier disasters occur frequently in alpine regions around the world,but the current conventional geological disaster measurement technology cannot be directly used for glacier disaster measurement.Hence,in this stud...Glacier disasters occur frequently in alpine regions around the world,but the current conventional geological disaster measurement technology cannot be directly used for glacier disaster measurement.Hence,in this study,a distributed multi-sensor measurement system for glacier deformation was established by integrating piezoelectric sensing,coded sensing,attitude sensing technology and wireless communication technology.The traditional Modbus protocol was optimized to solve the problem of data identification confusion of different acquisition nodes.Through indoor wireless transmission,adaptive performance analysis,error measurement experiment and landslide simulation experiment,the performance of the measurement system was analyzed and evaluated.Using unmanned aerial vehicle technology,the reliability and effectiveness of the measurement system were verified on the site of Galongla glacier in southeastern Tibet,China.The results show that the mean absolute percentage errors were only 1.13%and 2.09%for the displacement and temperature,respectively.The distributed glacier deformation real-time measurement system provides a new means for the assessment of the development process of glacier disasters and disaster prevention and mitigation.展开更多
文摘花生是重要的油料作物之一,其籽仁品质直接影响加工特性,是花生品质评价的重要指标。建立花生籽仁品质高通量分析模型,快速高效地对花生籽仁品质进行评价,可显著提高花生育种效率。本研究选用宇花14与LOP215杂交构建的140个RIL家系和35份其他品系为建模材料,使用Thermo公司生产的AntarisⅡ型傅立叶变换近红外光谱分析仪对175份样品籽仁进行光谱采集。采用索氏提取法测定籽仁含油量,杜马斯定氮法测定蛋白含量,蒽酮比色法测定糖含量,气相色谱法测定脂肪酸含量。利用偏最小二乘法(partial least squares,PLS)构建花生籽仁含油量、蛋白含量、糖含量以及部分脂肪酸含量的多粒近红外定标模型。选用未参与建模的30份花生样品对该模型进行验证,模型决定系数R~2值均大于0.9000,表明该模型可用于花生籽仁品质性状的分析预测。本研究为花生籽仁品质性状高通量表型分析提供了检测模型。
基金funded by National Key R&D Program of China((Nos.2022YFC3003403 and 2018YFC1505203)Key Research and Development Program of Tibet Autonomous Region(XZ202301ZY0039G)+1 种基金Natural Science Foundation of Hebei Province(No.F2021201031)Geological Survey Project of China Geological Survey(No.DD20221747)。
文摘Glacier disasters occur frequently in alpine regions around the world,but the current conventional geological disaster measurement technology cannot be directly used for glacier disaster measurement.Hence,in this study,a distributed multi-sensor measurement system for glacier deformation was established by integrating piezoelectric sensing,coded sensing,attitude sensing technology and wireless communication technology.The traditional Modbus protocol was optimized to solve the problem of data identification confusion of different acquisition nodes.Through indoor wireless transmission,adaptive performance analysis,error measurement experiment and landslide simulation experiment,the performance of the measurement system was analyzed and evaluated.Using unmanned aerial vehicle technology,the reliability and effectiveness of the measurement system were verified on the site of Galongla glacier in southeastern Tibet,China.The results show that the mean absolute percentage errors were only 1.13%and 2.09%for the displacement and temperature,respectively.The distributed glacier deformation real-time measurement system provides a new means for the assessment of the development process of glacier disasters and disaster prevention and mitigation.