The effect of slow-release urea on soil nematode community structure was investigated in a soybean field in northeast China.Three treatments,no urea(CK),conventional urea(U)and slow-release urea(SRU),were arranged in ...The effect of slow-release urea on soil nematode community structure was investigated in a soybean field in northeast China.Three treatments,no urea(CK),conventional urea(U)and slow-release urea(SRU),were arranged in a completely random design.The results show that the abundance of total nematodes was significantly higher in SRU than in CK and U.Significant differences in the abundance of bacterivores with colonizer-persister(cp)values 2–3,fungivores with cp 2 and herbivores with cp 3 were found among different treatments.Forty-one genera were identified,of which Acrobeloides,Aphelenchus and Heterodera were dominant.Soil nematode guilds and genera exhibited different responses to slow-release urea.The most trophic groups and genera had greater abundances in SRU than in CK and U.Slow-release urea had a positive effect on soil nematode community structure.展开更多
A total of 210 soybean samples collected from different areas of Heilongjiang Province were analyzed by PCR to detect the presence of RR (Roundup Ready) soybean ingredient. Results showed that CaMV35S promoter was not...A total of 210 soybean samples collected from different areas of Heilongjiang Province were analyzed by PCR to detect the presence of RR (Roundup Ready) soybean ingredient. Results showed that CaMV35S promoter was not detected in all samples. CP4-EPSPS gene was amplified in 13 samples, but all of them were proved to be false positives in restriction endonuclease digestion analysis of PCR products. Further analysis by nested PCR indicated that there were no RR soybean ingredients in the samples. Besides, the ampli- fied fragments of 0x1 by CP4-EPSPS primers were se- quenced, and the results confirmed again the fact that this fragment was not from CP4-EPSPS gene.展开更多
大豆含油率的高低直接影响榨油与育种结果。为探究大豆含油率的最佳检测方法与构建含油率高低判别模型,该研究基于不同维度低场核磁共振(low field nuclear magnetic resonance,LF-NMR)技术,以国标法为对照,利用LF-NMR波谱和LF-NMR含油...大豆含油率的高低直接影响榨油与育种结果。为探究大豆含油率的最佳检测方法与构建含油率高低判别模型,该研究基于不同维度低场核磁共振(low field nuclear magnetic resonance,LF-NMR)技术,以国标法为对照,利用LF-NMR波谱和LF-NMR含油含水率软件检测大豆含油率;核磁共振成像(magnetic resonance imaging,MRI)结合深度学习,建立大豆含油率高低判别模型。引入低场二维核磁共振(low field two-dimensional nuclear magnetic resonance,LF-2D-NMR)技术,定性分析一维波谱中信号重叠无法区分组分的问题。试验结果表明,LF-NMR含油含水率软件能快速准确检测大豆含油率,T1-T2二维核磁图谱成功解决了自由水和油信号重叠问题。利用U-net++深度学习模型对MRI成像的矢状面、冠状面、横截面以及三面混合数据集进行训练,其中横截面评价指标与其他数据集相比更优,语义分割部分中平均交并比(mean intersection over union,mIoU)约0.9058,全局准确率0.9980,训练后的模型能够将MRI图像识别并分割,快速判别大豆含油率高低。试验证明,LF-NMR及MRI能够快速无损掌握大豆含油率信息,为大豆的高油育种提供了新思路和技术支持。展开更多
目的在保证喷涂雾化表征均匀性的前提下实现宽幅覆膜,提高覆膜的效率,以期得到均匀一致的大豆蛋白覆膜。方法利用粒度仪测量不同干涉程度下的大豆蛋白液双枪喷涂雾化场的索特平均直径(Sauter Mean Diameter,SMD),利用Spraylink软件处理...目的在保证喷涂雾化表征均匀性的前提下实现宽幅覆膜,提高覆膜的效率,以期得到均匀一致的大豆蛋白覆膜。方法利用粒度仪测量不同干涉程度下的大豆蛋白液双枪喷涂雾化场的索特平均直径(Sauter Mean Diameter,SMD),利用Spraylink软件处理粒度数据,得到粒度数据并对比。结果双枪喷涂喷雾场的SMD随着液压的增大先增大后趋于平稳,随着气压的增大先减小后趋于平稳。当液压分别为0.08 MPa和0.16 MPa时,SMD基本不随偏转程度的变化而变化;当液压为0.24 MPa时,SMD随着偏转程度的增大而增大。双枪喷涂喷雾场的径向SMD从中心到边缘缓慢减小,在干涉区域内的轴向2点粒径基本相等。结论当液压为0.08 MPa、气压为0.24 MPa、偏转角为0°时,SMD相对较小。文中的研究为实现宽幅覆膜奠定了理论基础。展开更多
基金This research was supported by the Key Project of the Heilongjiang Provincial Bureau of Science and Technology(No.GA06C101-01)。
文摘The effect of slow-release urea on soil nematode community structure was investigated in a soybean field in northeast China.Three treatments,no urea(CK),conventional urea(U)and slow-release urea(SRU),were arranged in a completely random design.The results show that the abundance of total nematodes was significantly higher in SRU than in CK and U.Significant differences in the abundance of bacterivores with colonizer-persister(cp)values 2–3,fungivores with cp 2 and herbivores with cp 3 were found among different treatments.Forty-one genera were identified,of which Acrobeloides,Aphelenchus and Heterodera were dominant.Soil nematode guilds and genera exhibited different responses to slow-release urea.The most trophic groups and genera had greater abundances in SRU than in CK and U.Slow-release urea had a positive effect on soil nematode community structure.
文摘A total of 210 soybean samples collected from different areas of Heilongjiang Province were analyzed by PCR to detect the presence of RR (Roundup Ready) soybean ingredient. Results showed that CaMV35S promoter was not detected in all samples. CP4-EPSPS gene was amplified in 13 samples, but all of them were proved to be false positives in restriction endonuclease digestion analysis of PCR products. Further analysis by nested PCR indicated that there were no RR soybean ingredients in the samples. Besides, the ampli- fied fragments of 0x1 by CP4-EPSPS primers were se- quenced, and the results confirmed again the fact that this fragment was not from CP4-EPSPS gene.
文摘大豆含油率的高低直接影响榨油与育种结果。为探究大豆含油率的最佳检测方法与构建含油率高低判别模型,该研究基于不同维度低场核磁共振(low field nuclear magnetic resonance,LF-NMR)技术,以国标法为对照,利用LF-NMR波谱和LF-NMR含油含水率软件检测大豆含油率;核磁共振成像(magnetic resonance imaging,MRI)结合深度学习,建立大豆含油率高低判别模型。引入低场二维核磁共振(low field two-dimensional nuclear magnetic resonance,LF-2D-NMR)技术,定性分析一维波谱中信号重叠无法区分组分的问题。试验结果表明,LF-NMR含油含水率软件能快速准确检测大豆含油率,T1-T2二维核磁图谱成功解决了自由水和油信号重叠问题。利用U-net++深度学习模型对MRI成像的矢状面、冠状面、横截面以及三面混合数据集进行训练,其中横截面评价指标与其他数据集相比更优,语义分割部分中平均交并比(mean intersection over union,mIoU)约0.9058,全局准确率0.9980,训练后的模型能够将MRI图像识别并分割,快速判别大豆含油率高低。试验证明,LF-NMR及MRI能够快速无损掌握大豆含油率信息,为大豆的高油育种提供了新思路和技术支持。