农产品储运环境实时监测系统设计

农产品运输车辆和储存仓库的内部温湿度等环境和位置参数是农产品物流调度管理的重要依据，综合使用物联网、无线传感器网络、GPRS无线通信、GSM短信、GPS、GIS等技术与方法，构建一个一体化的农产品储运环境的远程实时监测系统。     

新世纪以来我国学界的诠释学诉求

进入新世纪以来，许多中国学者基于对现代中国学术的反思，提出了“回归中国”和“回归古典”的诠释学诉求，以突破一直流行的“以中解西”和“以今解古”的诠释模式。这些诠释学诉求表明，“中国诠释学”研究实是现代中国学术发展的内在要求和当务之急。     

施用羊粪对多花黑麦草生产性能和氮素生产效率的影响

为了探讨羊粪施用量对多花黑麦草生产性能和氮素生产效率的影响,以3个多花黑麦草品种为材料,采用5种羊粪施用梯度进行田间试验。结果表明:在0~60 t/hm2范围内,随着羊粪施用量的增加,多花黑麦草的分蘖数、株高、产量、粗蛋白含量均能显著提高,但氮素的生产效率逐步降低,且3个品种间的差异不显著(P0.05);证实3个品种均适合利用羊粪种植,在多次刈割条件下,最佳羊粪施用量为45~60 t/hm2(折合纯氮778.5~1038 kg/hm2)。     

湖南省R&D投入产出效率研究

以湖南省R&D投入产出活动为研究对象，采用数据包络分析法(DEA)的BCC模型，结合全国30个省市R&D投入产出数据，对2013年湖南省R&D投入产出效率进行比较分析，并根据实证结果提出相关对策及建议.     

大麦株高及其构成因素的杂种优势和配合力分析

选用7个株高差异比较明显的啤酒大麦品种(系)为亲本,按照Griffing双列杂交方法 II配制21个杂交组合,2年重复试验,分析大麦株高及其构成因素的杂种优势和配合力关系。结果表明:株高及其构成因素的杂种优势均存在广泛的变异,除倒1节间长度外,其余节间长度的平均优势均为负值,倒3,4节间长平均优势最大;株高及其构成因素的遗传同时存在显著的加性效应和非加性效应,以加性效应为主;苏啤3号和港啤2号的株高及各节间长一般配合力效应值均表现为较明显的负向效应,其在育种工作中对改良啤用大麦后代株高结构有良好的作用;品系连0719穗长一般配合力具有较大的正向效应,在改善穗长性状育种中具有一定的利用价值。除倒5节间长外,杂种组合扬农啤5号×苏引麦2号、港啤1号×苏啤3号、苏引麦2号×苏啤3号的各节间长均表现为较明显的负向效应,其穗长均表现为正向效应,可作为选育矮秆或半矮秆大麦品种的较优组合;株高及其构成因素具有较高的遗传力,表型变异受环境影响较小,宜早代选择。     

咖啡新品种德热132选育报告

"德热132"是由MEXICO-9的突变单株选择出的抗锈病优质品种,2012年进行了新品种登记,并命名为德热132。品比、区试和生产试验结果均表明,该品种具有稳产、品质优、抗锈病等特点,适宜在云南省的德宏、保山、临沧、普洱、文山等地区种植。     

番茄抗旱基因工程研究进展

番茄抗旱性是由许多微效基因座和数百个影响干旱形态和生理反应的基因控制的,阐明番茄抗旱的分子机制、开发分子标记辅助选择将有助于加速培育具有抗旱性的番茄新品种。本文概述了番茄抗旱分子机制的研究进展、番茄在干旱条件下的形态特征变化和抗旱育种,重点阐述了番茄抗旱性基因工程改良方面的研究进展,为进一步应用现代生物技术进行植物抗旱性基因工程改良和分子标记辅助选择育种提供方法和思路。     

基于BP神经网络的太阳辐射预测——以兰州市为例

采用常规气象观测资料建立了兰州市太阳总辐射BP神经网络预测模型,利用神经网络释义图和连接权法剔除了模型中的冗余变量,用优化的BP网络模型预测了兰州市1996-2000年的太阳辐射,并用实测数据验证了该模型。结果表明:该方法增加了模型的透明度,提高了模型的可靠性和鲁棒性,模拟结果与实测值非常吻合,模拟值的各项误差指标值均很小,模拟值与实测值的拟合优度R2达到0.987,通过与其他经验模型的模拟结果进行对比,优化的BP网络模型的模拟效果最好,精度明显高于其它经验模型。因此,对于无太阳辐射观测的地区,优化后的BP网络模型是预测当地太阳辐射的一种有效方法。     

Effect of xeroderma pigmentosum group D gene on proliferation of human umbilical arterial smooth muscle cells induced by Ox-LDL

AIM: To investigate the effects of xeroderma pigmentosum group D (XPD) gene on the proliferation of human umbilical arterial smooth muscle cells (HUASMCs) induced by oxidized low-density lipoprotein (Ox-LDL). METHODS: The recombinant plasmid pEGFP-N2/XPD was transfected into HUASMCs by liposome. The cells were divided into blank control group, pEGFP-N2 group, pEGFP-N2/XPD group, Ox-LDL group, Ox-LDL+pEGFP-N2 group and Ox-LDL+pEGFP-N2/XPD group. The proliferation rate of the cells was detected by MTT and EdU assays. The apoptotic rate and cell cycle distribution were analyzed by flow cytometry. The protein levels of XPD, caspase-3, Bcl-2 and Bax were determined by Western blot. RESULTS: Compared with blank control group, the expression of XPD was increased in pEGFP-N2/XPD group (P<0.05). According to the results of MTT and EdU assays, the cell proliferation in pEGFP-N2/XPD group was reduced compared with blank control group (P<0.05). Compared with Ox-LDL group, the cell proliferation in Ox-LDL+pEGFP-N2/XPD group was significantly inhibited (P<0.05). According to the results of flow cytometry, the cell proportion of S phase decreased and the G₀/G₁-phase cell proportion increased significantly in pEGFP-N2/XPD group and Ox-LDL+pEGFP-N2/XPD group compared with blank control group and Ox-LDL group, repectively (P<0.05). Compared with blank control group and Ox-LDL group, the protein level of Bcl-2 decreased and the protein levels of Bax and cleaved caspase-3 increased in pEGFP-N2/XPD group and Ox-LDL+pEGFP-N2/XPD group, respectively (P<0.05). CONCLUSION: XPD inhibits the proliferation of HUASMCs and promotes their apoptosis, and reduces the promoting effect of Ox-LDL on the proliferation of HUVSMCs. XPD may be the target for treatment of atherosclerosis.     

Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.