基于GF-6卫星影像多特征优选的酿酒葡萄精准识别

多源遥感信息和特征优选是提高农作物识别精度的重要支撑，高分六号（GF-6）卫星作为首次引入红边波段的国产卫星，其丰富的光谱信息为作物识别提供了新的思路和解决途径。该研究基于宁夏回族自治区银川市永宁县2018年6月-2019年3月的GF-6数据，充分利用红边优势提取光谱特征、纹理特征和植被指数特征，构建多种特征组合方案，并根据随机森林算法对特征重要性进行度量，选取最优特征组合对酿酒葡萄进行精准识别。结果表明，与单一特征相比，多源遥感特征的增加显著改善了酿酒葡萄分类效果，其中，植被指数贡献程度最大，光谱特征次之；基于随机森林的优选特征组合分类效果最佳，其中，总体分类精度为94.15%，酿酒葡萄用户精度为94.23%，制图精度为92.59%；以实地调查的4个酒庄为验证区，将酿酒葡萄提取结果与统计数据进行对比，面积相对精度均在70%以上，其中优选特征结果相对精度在90%以上，研究结果将为国产卫星红边波段在植被分类和识别方面的应用提供数据参考。     

Spatio-temporal dynamics of technical efficiency in China’s specialized markets: A stochastic frontier analysis approach

China’s specialized markets as a special form of bottom-up capital agglomeration have played a key role in fostering regional development. It once exhibited positive externalities with high efficiencies. However, given the rapid proliferation of specialized markets and the penetration of E-commerce, their advantages may have shifted and the understanding of this shift is limited. The paper explores the spatio-temporal dynamics of China’s specialized markets in terms of technical efficiency. Based on turnover data from Statistical Yearbooks of China Commodity Exchange Market from 2000 to 2016, technical efficiencies in specialized markets are measured by a Stochastic Frontier Analysis (SFA) approach using panel data. The results show that (a) the technical efficiencies in China’s specialized markets are significantly divergent in space over time; (b) labor input has notable effect on efficiency increase, while capital input has no significant effect; (c) informatization level, cluster size, and degree of market openness are identified to have a positive effect on specialized market’s technical efficiency. This paper argues that specialized markets should be taken seriously in the cluster evolution research. The role of proximity and the bounded links between specialized markets and their local clusters is the key to understanding their changing forms, performances, and trajectories.     

马铃薯组培苗时期不同LED光源处理对温室移栽后植株生长和微型薯结薯的影响

不同LED光源下培养的马铃薯组培苗在形态特征上差异明显,为探索这种差异是否会对其移栽后产生进一步影响,试验研究了100%红光(R)、100%蓝光(B)、100%绿光(G)、75%红光+25%蓝光(RB)、45%红光+35%蓝光+20%绿光(RBG)和100%白光(CK)6种光谱下培养4周的马铃薯组培苗温室移栽后植株的生长和结薯情况。试验结果表明,B处理的马铃薯组培苗移栽后缓苗期叶绿素荧光参数Fv/Fm和qP、结薯前期SPAD值及结薯期各器官生物量均始终高于CK和其他处理,且该处理下最大薯的干鲜重和有效微型薯占比分别较CK提高45.66%、45.09%和10.93%。R处理的组培苗移栽后结薯期地上部生物量显著高于CK,单株结薯数目提高29.60%,但有效微型薯占比较CK降低63.97%。G处理的组培苗移栽后生长和结薯指标均表现最差。组合光谱RB和RBG处理的组培苗移栽后的生长指标和微型薯产量及产量构成指标均与CK无显著差异。因此,单色红、蓝、绿光谱处理对马铃薯组培苗的影响会持续至其移栽后植株幼苗生长,甚至结薯期,组合光谱RB和RBG则不会。在马铃薯组培苗生产上,单色蓝光和单色红光作为照明光源具有潜在的应用价值,组合光谱RB和RBG可作为白色光源的替代光源。     

Vitamin C in broccoli (Brassica oleracea L. var. italica) flower buds as affected by postharvest light,UV-B irradiation and temperature

In this study, the changes in vitamin C, l-ascorbic acid (AA) and l-dehydroascorbic acid (DHA) levels in broccoli flower buds were examined during pre-storage and storage periods, simulating refrigerated transport with wholesale distribution and retail, respectively. Broccoli heads were pre-stored for 4 or 7 days at 0 °C or 4 °C in the dark and then stored for 3 days at 10 °C or 18 °C. During storage the broccoli heads were exposed for 12 h per day to three different levels of visible light (13, 19 or 25 μmol m⁻² s⁻¹) or a combination of visible light (19 μmol m⁻² s⁻¹) and UV-B irradiation (20 kJ m⁻² d⁻¹), or they were stored in the dark. The vitamin C content in broccoli flower buds during storage was significantly affected by pre-storage period and temperature. Higher vitamin C levels in flower buds after storage were observed for broccoli heads pre-stored for 4 days or at 0 °C as compared to those pre-stored for 7 days or at 4 °C. Storage temperature also affected vitamin C in broccoli flower buds, with higher levels observed for broccoli stored at 10 °C than at 18 °C. Hence, vitamin C in broccoli flower buds was demonstrated to decrease together with increasing pre-storage period, pre-storage temperature and storage temperature. AA in broccoli flower buds was influenced mainly by storage temperature and to a minor extent by pre-storage temperature. The DHA level and DHA/AA ratio were stable in flower buds of broccoli pre-stored for 7 days, whereas increasing tendencies for both DHA level and ratio were observed after pre-storage for 4 days. These results indicate a shift in the ascorbate metabolism in broccoli flower buds during storage at low temperatures, with its higher rate observed for broccoli pre-stored for shorter time. There were no effects of the light and UV-B irradiation treatments on vitamin C, AA and DHA levels in broccoli flower buds.     

Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis

Dissolved oxygen (DO) is a key ecological factor to measure the quality of water in the aquaculture. As the pond water body is affected by the breeding environment, the spatial distribution of DO shows a certain law in the entire pond. Therefore, to simulate the distribution of DO in aquaculture waters and grasp the temporal and spatial variation of DO is the key to achieving precise regulation of DO. For this purpose, this paper proposed a method for simulating the temporal and spatial distribution of DO in pond culture based on a sliding window-temporal convolutional network together with trend surface analysis (SW-TCN-TSA). This paper first utilized SW to construct DO data sets with different prediction durations, and then used the improved TCN model to realize one-dimensional time series prediction for DO at single monitoring point. Based on the prediction results of DO, a TSA method was performed on the predicted values of DO at the extreme moments of all discrete monitoring points, so as to realize the simulation of the temporal and spatial distribution of DO in the pond. Experimental results show that the SW-TCN model has better prediction performance for one-dimensional time series prediction of DO. Compared with traditional deep networks, such as CNN, GRU, LSTM, CNN-GRU and CNN-LSTM, the values of evaluation indicators (MSE, MAE and RMSE) have been greatly improved. In the process of trend surface fitting, all fitting R² of DO at different water depths are higher than 0.9, indicating that the TSA can accurately reflect the temporal and spatial distribution of DO. This method can provide a basis for the prediction and early warning of DO in the three-dimensional space of the pond and has high practicability in aquaculture.     

动态高压微射流对乌贼墨黑色素物理性质及微观结构的影响

为改善乌贼墨黑色素在食品中的应用性能,以虎斑乌贼(Sepia pharaonis)墨囊为原材料,采用碱性蛋白酶酶解制备乌贼墨黑色素,研究不同动态高压微射流(DHPM)(0、40、80、120、160、200 MPa)均质对其物理性质的影响,并采用红外光谱、扫描电子显微镜分析其微观结构。结果表明,DHPM处理使乌贼墨黑色素聚集体解聚,浊度增加、平均粒径减小,粒度分布更加集中和细微化,同时改善了其在去离子水和生理盐水中的溶解性;在压力作用下表现为粘度、空间色度值均有所增大;差示扫描量热法(DSC)分析表明,乌贼墨黑色素在120 MPa下热变性温度为90.70℃,焓变值为0.45 J·g^-1,且该压力下其贮藏稳定性最好;红外光谱分析表明,在特定压力处理范围内,DHPM处理使乌贼墨黑色素分子间形成了较强的氢键;扫描电镜观察发现样品颗粒在120 MPa处理后颗粒尺寸最小。因此,DHPM改性技术改善了乌贼墨黑色素的物理性质和微观结构,为其在食品工业中的应用提供了理论依据。     

‘越心’草莓组培突变体着色差异的分子机理初探

初步探讨了在‘越心’草莓（Fragaria × ananassa‘Yuexin’）茎尖离体培养再生植株中发现的稳定变异突变体着色差异的分子机理。分析结果显示，突变体与‘越心’在植株形态、始花期、始果期、始熟期、单果质量、平均株产、果形、风味等方面均无明显差异；而突变体外果皮色泽较淡，L*值较高，a*值较低，H色度角值较大，颜色指数CIRG显著小，且果肉不着色（‘越心’果肉红色）。突变体果实总花青苷含量为‘越心’的13.2%，其中以天竺葵素–3–O–葡萄糖苷（Pg3G）含量差异最大，突变体Pg3G含量仅为‘越心’的12.9%。花青苷合成途径结构基因FaF3H、FaCHS、FaDFR、FaANS、FaCHI、Fa3GT的表达水平在突变体中显著降低，这可能是突变体成熟果实花青苷水平显著低于‘越心’的直接原因。FaMYB10和FaMYB1在突变体中的表达水平显著下降，且FaMYB10在几个主成分中的特征向量绝对值均显著较高，进一步证实了MYB10是草莓成熟过程中花青苷合成的类黄酮或苯丙烷类化合物途径主要调节因子之一。提取叶片基因组DNA进行基于KASP标记的基因分型结果显示，74对KASP引物在‘越心’草莓及其突变体中的基因分型不存在差异。本结果初步证实突变导致参与调控花青苷合成途径的关键基因表达发生显著下调从而使花青苷积累显著减少，果实着色变淡。     

铁皮石斛PRC2复合体成员的鉴定及对胁迫响应的表达分析

为了探讨PRC2复合体在铁皮石斛生长发育和胁迫响应中的功能,通过生物信息学方法筛选了铁皮石斛PRC2核心成员DcCLF、DcSWN、DcEMF2、DcFIE和DcMSI1,借助酵母双杂交技术分析了它们之间的互作关系,利用半定量PCR分析了PRC2核心成员的组织表达谱,通过荧光定量PCR检测了它们对非生物胁迫(低温、高温、脱水)和病害胁迫(齐整小核菌、灰葡萄孢霉菌)的响应情况。结果表明,铁皮石斛PRC2复合体包含5个成员:E(z)同源基因DcCLF和DcSWN、Su(z)12基因DcEMF2、ESC基因DcFIE、p55基因DcMSI1,且这5个成员间的互作关系基本符合模式植物的互作模式,也存在物种特异性,表明PRC2复合体在进化中既有保守性也有特殊性。PRC2核心成员在铁皮石斛根、茎、叶、花蕾、成花中均有表达,但不同基因的表达存在组织差异性。同时,PRC2成员响应不同的环境和病害胁迫:DcCLF受低温、高温和脱水等各种环境胁迫的显著诱导;DcMSI1和DcEMF2在齐整小核菌侵染下表达明显上调,而DcSWN在灰葡萄孢霉菌侵染下受诱导程度最大。铁皮石斛PRC2复合体在生长发育和胁迫应答中发挥重要作用,可为分子辅助育种提供关键靶标基因。     

花龄期棉花虫害的电子鼻检测

棉花害虫具有隐蔽性、迁飞性和突发性特点，并且影响因素众多，棉花虫害准确地诊断是农业领域的难点问题。该研究以受到棉铃虫侵害的花铃期棉花为研究对象，采用电子鼻对不同处理的棉花挥发物进行检测。研究表明，主成分分析（Principal Component Analysis, PCA）和聚类分析结果显示健康棉花释放的挥发物具有明显的昼夜节律性，健康棉花与虫害棉花差异性显著。径向基函数神经网络（Radial Basis Function Neural Network, RBFNN）对8个不同时间的4组虫害棉花处理进行分析，测试集判别总的正确率为73.4%，健康棉花对照组测试集判别正确率100%，误判样本出现在3个虫害处理之间。当不考虑时间因素建立虫害棉花统一的预测模型，RBFNN模型对健康棉花对照组的预测正确率均达到了100%，分析结果可以作为花铃期棉花是否遭受棉铃虫侵害的依据，说明电子鼻可以作为棉花虫害发生的有效监测手段，在农作物虫害监测领域具有潜在的应用价值。