Rapeseed,the largest oil crop in China,is a boron-loving plant.Boron has an important influence on the growth and development of rapeseed.In this study,four different boron-efficient Brassica napus varieties were used...Rapeseed,the largest oil crop in China,is a boron-loving plant.Boron has an important influence on the growth and development of rapeseed.In this study,four different boron-efficient Brassica napus varieties were used as the material to analyze the structure and sequence of BnNIP7;1 gene,aiming to provide a basis for studying the role of BnNIP7;1 in the absorption and transport of boric acid in rapeseed.The results showed that BnNIP7;1 exists in multiple copies of the Brassica napus genome,consisting of five exons and four introns.There are base insertions,base deletions and more base substitutions in introns.However,there is no base insertion or base deletion in the exon,only a small number of base substitution mutations are present,bringing about three amino acid changes in the encoded protein of BnNIP7;1-ZS9b in Zhongshuang 9.The BnNIP7;1-HY7b of Huayou 7 has an ochre mutation that will lead to a protein of only 47 amino acids,thus losing its function.Bioinformatics indicates that BnNIP7;1 protein is a membrane protein with six transmembrane regions,indicating that it is involved in the absorption and transport of boric acid.展开更多
针对低截获概率(Low Probability of Intercept,LPI)雷达多相码信号易混淆,且现有文献鲜有将调制类型识别和参数估计相结合的情况,提出了一种基于时频脊线的特征提取方法。在所提特征的基础上,通过支持向量机分类器进行调制类型识别;同...针对低截获概率(Low Probability of Intercept,LPI)雷达多相码信号易混淆,且现有文献鲜有将调制类型识别和参数估计相结合的情况,提出了一种基于时频脊线的特征提取方法。在所提特征的基础上,通过支持向量机分类器进行调制类型识别;同时,可实现对调制参数的估计,由提取的特征对带宽、编码长度、载频和码元内载频周期数进行估计。仿真结果证明,在较低信噪比(Signal-to-Noise Ratio,SNR)下,该方法对调制类型的平均识别率较为理想,对各调制参数的估计误差均在可接受范围内。对比实验显示,该方法优于传统的互相关法。与深度学习方法对比,该方法的运算量更小,且在小样本情况下具有更好的识别率,具有一定的应用价值。展开更多
基金Supported by "System Construction of Rapeseed Industry" by Yunnan Agriculture Department(2017KJTX005-05)"Yunnan Oil Crop Innovative Team" of Yunnan Science and Technology Department(2017HC021)~~
文摘Rapeseed,the largest oil crop in China,is a boron-loving plant.Boron has an important influence on the growth and development of rapeseed.In this study,four different boron-efficient Brassica napus varieties were used as the material to analyze the structure and sequence of BnNIP7;1 gene,aiming to provide a basis for studying the role of BnNIP7;1 in the absorption and transport of boric acid in rapeseed.The results showed that BnNIP7;1 exists in multiple copies of the Brassica napus genome,consisting of five exons and four introns.There are base insertions,base deletions and more base substitutions in introns.However,there is no base insertion or base deletion in the exon,only a small number of base substitution mutations are present,bringing about three amino acid changes in the encoded protein of BnNIP7;1-ZS9b in Zhongshuang 9.The BnNIP7;1-HY7b of Huayou 7 has an ochre mutation that will lead to a protein of only 47 amino acids,thus losing its function.Bioinformatics indicates that BnNIP7;1 protein is a membrane protein with six transmembrane regions,indicating that it is involved in the absorption and transport of boric acid.
文摘针对低截获概率(Low Probability of Intercept,LPI)雷达多相码信号易混淆,且现有文献鲜有将调制类型识别和参数估计相结合的情况,提出了一种基于时频脊线的特征提取方法。在所提特征的基础上,通过支持向量机分类器进行调制类型识别;同时,可实现对调制参数的估计,由提取的特征对带宽、编码长度、载频和码元内载频周期数进行估计。仿真结果证明,在较低信噪比(Signal-to-Noise Ratio,SNR)下,该方法对调制类型的平均识别率较为理想,对各调制参数的估计误差均在可接受范围内。对比实验显示,该方法优于传统的互相关法。与深度学习方法对比,该方法的运算量更小,且在小样本情况下具有更好的识别率,具有一定的应用价值。
