基于表型多样性构建向日葵核心种质

为鉴定评价我国向日葵（Helianthus annuus L.）种质资源在南方地区的表现，筛选构建向日葵核心种质，以422份向日葵种质为材料，在进行2年鉴定观察的基础上，采用描述性统计、相关性分析、主成分分析等方法对11个表型农艺性状进行分析评价。结果表明，原始群体的这些农艺性状具有较大的变异幅度，其变异系数（CV）为3.60%~83.32%，平均变异系数为20.93%，其中分枝株率（0%~62.5%）、单株粒重（9.70~232.35 g）、百粒重（4.60~14.92 g）、叶片数（14.40~48.38个）和株高（103.75~260.00 cm）变异幅度较大；性状间表现出显著的相关性，主成分分析表明，影响性状的4个主要成分解释了总方差的71.72%。采用QGAstation 2.0软件构建了72组核心种质候选群体，并根据均值差异百分数（MD）、方差差异百分率（VD），极差符合率（CR）和变异系数百分率（VR），获得组获得1组包含84份材料的最佳核心种质群体。聚类分析将84份核心资源分为5大类，与原群体相比，所选核心种质均值无显著差异，方差显著提高，能最大限度代表原始油葵种质资源保存和利用。     

核心竞争力视角下农产品加工业人力资源管理研究——以铜仁市为例

基于核心竞争力视角,设计农产品加工业人力资源管理问卷和访谈进行数据搜集,结合数理统计分析,对铜仁市农产品加工业的人力资源管理进行分析。结果表明,被调查企业的人力资源管理存在管理模式较为粗放、管理理念相对落后、制度不够完善、“无法可依”和“有法不依”2种现象同时并存、从业人员素质偏低、年龄结构分布不合理、薪酬制度不合理等问题,并就存在的问题提出相应的对策。     

浙茄类型茄子品种DNA指纹图谱构建

为了高效快速地区分浙茄类型茄子品种,并为鉴定浙茄品种的特异性和真实性提供依据,利用46份茄子材料,对48个单核苷酸多态性(SNP)标记进行核心SNP标记筛选,并利用筛选到的核心SNP标记,构建了6个浙茄类型茄子品种的SNP指纹图谱。结果表明:48个SNP标记均可转化为KASP标记,对46份茄子材料进行SNP标记的KASP分型,根据分型结果和多态性信息含量,34个SNP标记可作为核心标记,利用这些核心标记构建了6个浙茄类型茄子品种的指纹图谱;通过指纹图谱可以快速高效区分6个浙茄类型茄子品种,为茄子品种鉴定和知识产权的保护提供了理论依据。     

Regional inequality: An analysis under the core–peripheral model

Desmet, Gumpert, and Ort?n have analyzed regional development using the Ricardian model or the Heckscher–Ohlin theorem. However, aspects such as consideration of combined wages, substitution elasticities, marginal costs, fixed costs, and number of companies were completely ignored. This study investigates the underdevelopment of regions in light of Krugman`s core–peripheral model. The extension of the model is intended to analyze the aspects that have so far been ignored and their influence on the benefits of the two regions. The following aspects characterize the model. Two regions with two sectors are considered for the model. The regions are characterized by different technological equipment. The first region is industrial. The second region has an agricultural character. When a new technology is available, both regions can benefit under certain conditions. The financial transfers lead to a convergence of wages.     

基于声振信号对称极坐标图像的苹果霉心病早期检测

为实现苹果早期霉心病较高精度的检测，该研究采用对称极坐标法（Symmetrized Dot Pattern，SDP）将苹果声振信号变换为雪花图，然后采用AlexNet、VGG16和ResNet50卷积神经网络以迁移学习方式深度挖掘SDP雪花图像的特征信息，将其输入到支持向量机（Support Vector Machine，SVM）分类器，对霉心程度≤7%的苹果进行检测。研究结果表明，当时间间隔系数为25和角度放大因子为50°时，健康果与早期霉心果声振信号的SDP图形状特征差异最大，在此条件下获取的SDP图经卷积神经网络AlexNet、VGG16和ResNet50提取特征并构建了不同核函数的SVM霉心果检测模型，在各类SVM模型中，ResNet50-SVM-gaus（高斯基）模型用相对较少的训练时间和参数量可取得训练集霉心果较高分类准确率，经超参数优化训练该模型对健康果和早期霉心果测试集不平衡样本（10∶1）的总体分类准确率达到96.97%，平均查准率、平均查全率、平均加权调和均值、Kappa系数和马修斯相关系数值分别为80.19%、90.36%、86.21%，82.54%和82.68%，该模型不仅对多数类的健康果保持较高分类准确率，而且对少数类的早期霉心果也具有较高判别能力。这些研究结果为声振法应用于果蔬内部病害的早期在线检测系统研发提供了技术支撑。     

Age estimation of different tree species using a special kind of an electrically recording resistance drill

The determination of tree age is an important issue for urban green planning, forestry and dendrology; finding non-destructive and quasi-non-destructive methods for this purpose is of great theoretical and practical importance. The resistance drilling method is quasi-non-destructive because the average diameter of an opening that remains after drilling does not exceed 3 mm. Do electrically recording resistance drills allow precise assessment of tree age? The aim of this study is to assess the accuracy of determining the number of tree rings based on an examination of this special kind of drilling resistance profiles for three tree species, the pine Pinus sylvestris L., the oak Quercus robur L., and the birch Betula pendula ROTH. In 2015 and 2016, 15 pine trees, 15 oak trees, and 15 birch trees were randomly selected. For each studied tree, a measurement was conducted using the electrically recording resistance drill IML-Resi E400 with a flat-tipped 1.5/3 mm steel needle (research sample), and an increment core was taken (reference sample). The drill used was not a real Resistograph^®. The analysis of the E400-profiles underestimated the number of tree rings; the mean bias error (MBE) values were –6.5, –2.5, and –6.0 years for pine, oak, and birch, respectively. The proportion of investigated trees with less than five years difference between the research and reference samples varied from 38.4 (birch) to 66.7 (oak) percent. The accuracy of tree age determination was lowest for birch and highest for oak. The binomial generalised linear model (GLM) revealed that the most accurate tree age assessments were obtained from tree rings wider than 2 mm. The measurements clearly showed that the electrically recording resistance drill IML-Resi E400 enables a quick, although approximate, tree age assessment. Future research should concentrate on electronically regulating and recording drills, providing a higher spatial and signal resolution, and a stronger correlation to wood density.     

漆酶LAC表达与鸭梨果心褐变的关系

【目的】探究在不同成熟度和降温贮藏方式下,LAC表达模式与鸭梨果心褐变的关系,为进一步解析鸭梨果心褐变机制提供理论依据。【方法】以鸭梨作为材料,通过对不同成熟度（早采、中采和晚采）的鸭梨进行急速降温（急降）和缓慢降温（缓降）处理,观察贮藏期间鸭梨果心褐变情况,测定漆酶（Laccase,LAC）活性及其基因LAC的相对表达量,研究LAC在鸭梨果心褐变过程中的参与作用。【结果】冷藏60 d时,晚采鸭梨出现褐变,晚采缓降处理的鸭梨果心褐变指数为0.32,是同期急速降温处理的2.56倍;在贮藏90 d时,中采缓降处理的褐变指数是0.24,中采急降处理的褐变指数仅为0.01。各个处理组在贮藏期间LAC活性多数表现为先逐渐升高后下降的趋势,晚采的果实在贮藏60 d时出现活性高峰,褐变发生;早采和中采鸭梨LAC活性高峰均在90 d时出现,褐变程度低于晚采鸭梨。在贮藏期间,缓慢降温处理的LAC活性高于急速降温处理。鸭梨LAC14和LAC7表达量呈先上升后下降的趋势,LAC6表现为先下降后上升再降低的变化趋势;中采、晚采鸭梨在贮藏60 d时,LAC14和LAC7表达量最高。【结论】与缓慢降温相比,急速降温处理减少了鸭梨果心褐变的发生。在整个贮藏期间,LAC活性呈先上升后下降然后又上升的趋势,其峰值时的活性高低次序为：晚采>中采>早采,这与果心褐变趋势一致;LAC在鸭梨果心褐变过程中上调表达。相比缓慢降温处理,急速降温处理具有较低的LAC7、LAC14和LAC6表达量。急速降温结合适时采收能够抑制LAC的上调表达,减少鸭梨果心褐变发生。     

Pigeonpea improvement: An amalgam of breeding and genomic research

In the past five decades, constant research has been directed towards yield improvement in pigeonpea resulting in the deployment of several commercially acceptable cultivars in India. Though, the genesis of hybrid technology, the biggest breakthrough, enigma of stagnant productivity still remains unsolved. To sort this productivity disparity, genomic research along with conventional breeding was successfully initiated at ICRISAT. It endowed ample genomic resource providing insight in the pigeonpea genome combating production constraints in a precise and speedy manner. The availability of the draft genome sequence with a large‐scale marker resource, oriented the research towards trait mapping for flowering time, determinacy, fertility restoration, yield attributing traits and photo‐insensitivity. Defined core and mini‐core collection, still eased the pigeonpea breeding being accessible for existing genetic diversity and developing stress resistance. Modern genomic tools like next‐generation sequencing, genome‐wide selection helping in the appraisal of selection efficiency is leading towards next‐generation breeding, an awaited milestone in pigeonpea genetic enhancement. This paper emphasizes the ongoing genetic improvement in pigeonpea with an amalgam of conventional breeding as well as genomic research.     

连续投影算法融合信息熵选择霉变玉米高光谱特征波长

运用高光谱技术鉴别玉米霉变等级时,因光谱波段数多、数据量大、信息冗余度高,使鉴别工作难度加大。为了减少数据量,获得最有利于鉴别的高光谱信息特征波长,本研究提出了一种连续投影算法(SPA)融合信息熵的特征波长选择方法。首先,对霉变玉米样本高光谱数据运用多元散射校正(MSC)进行光谱预处理以消除噪声,然后利用SPA对处理过的光谱进行波长初选,得到8个初选特征波长,再通过信息熵原理处理初选特征波长下的图像信息,获得最佳特征波长。结果表明,运用SPA融合信息熵法得到有利于霉变玉米鉴别的最佳波长为819 nm,提取该波长下霉变玉米图像的纹理特征后,采用Fisher判别分析(FDA)进行鉴别,6个等级霉变玉米的鉴别正确率高达98.6%,充分证明所给出的特征波长选择方法是有效的。本研究特征波长选择方法可为更好地运用高光谱技术鉴别玉米霉变等级提供指导。     

论精准扶贫社会工作者的核心能力及培育策略

反贫困既是专业社会工作历史关注的焦点，更是当代社会工作服务的重点。在打赢脱贫攻坚战的进程中，专业社会工作不仅更新了扶贫的价值理念和服务模式，更促进了扶贫社会政策和人才队伍的建设。但随着精准扶贫的推进，反贫困社会工作的本土化、多元化、制度化、专业化和理论化水平还有待完善，关键是社会工作者精准扶贫的核心能力不足。因此，需要以“价值—知识—技术”三位一体的能力框架为基础，从共同富裕、城乡平等、内源发展、社会政策、生计发展、服务管理、精准识别、跨界融合、统筹整合、评估跟进等十个方面构建精准扶贫社会工作者的核心能力体系，并通过专业教育、继续教育、实务拓展和政策引导来培养、提升、拓展和巩固其核心能力。