丛生竹林下竹荪富硒菌棒覆土栽培技术

在丛生竹林下对不同基质配方和硒浓度菌棒进行埋棒栽培以及覆土方式栽培试验，结果表明，菌棒不同基质配方对竹荪产量及其营养成分有显著影响，而且三列浅沟形和双列龟背形2种覆土方式有利于提高竹荪产量。改良基质配方菌棒竹荪产量比常规配方提高约50%；在添加外源硒质量分数为0~2.0 mg/kg的浓度范围内，竹荪子实体产量先随着硒浓度的增加而逐渐增加后再有所降低，基质中添加1.5 mg/kg硒肥比不添加产量提高了195.30%。基质中添加硒质量分数为1.0~2.0 mg/kg的硒肥可以较显著地提高竹荪花的硒含量，其干物质中硒含量平均值从约2.50 mg/kg提高到8.05~13.30 mg/kg，外源硒肥利用率达到9.70%~15.36%。菌棒不同基质配方对竹荪子实体的粗蛋白及粗多糖含量有明显影响，改良配方竹荪蛋与竹荪花的粗蛋白含量是常规配方的1.21和1.29倍，其粗多糖含量是常规配方的4.81和1.35倍；基质中添加硒肥与不添加硒肥相比，竹荪蛋与竹荪花中粗蛋白含量分别增加了40.90%和14.30%。在硒质量分数为1.0 mg/kg的竹荪菌棒林下覆土栽培试验中，三列浅沟形覆土方式单位面积鲜竹荪蛋产量最高，为10.27 kg/m²；双列龟背形覆土方式单个菌棒的鲜竹荪蛋产量最高，达1.40 kg。三列浅沟形和双列龟背形2种覆土方式基质生物转化率分别为93.00%和94.14%，达到了较高水平。     

食用菌多糖抗运动疲劳研究进展

采用文献资料法对食用菌多糖抗运动疲劳的研究进展情况进行了研究。结果表明:食用菌多糖提取方法不同而食用菌多糖的提取率也不相同,超声波法+复合酶法及微波法提取食用菌多糖提取率较高,2种方法科学合理的结合提取食用菌多糖以及不同产地、品种和不同部位提取率是未来学者们需要研究的领域;目前,只是对极少部分食用菌多糖抗运动疲劳进行了研究,研究对象(动物)、模型、指标、评价单一而没有确定最佳剂量的时间而没确定的量。为此,提出了未来应加强和重视食用菌多糖抗疲劳运动多食用菌、多对象(尤其是人)、多模型、多指标、多评价、最佳剂量的研究以及量-效、构-效关系的研究建议。     

基于HSV与形状特征融合的花椒图像识别

光照条件变化会对花椒目标识别率产生影响,关系到机器视觉技术能否有效应用于生产现场的花椒采摘。通过对HSV特性图像识别技术的分析,提出HSV和形状特征融合的花椒识别算法。该算法采用同态滤波方法对光照进行补偿,解决因为光照不均匀而导致的花椒识别率低的问题,最后利用花椒圆度特征,排除树枝及树叶等的干扰,实现花椒的准确识别。利用同态滤波方法对光照进行补偿,对于光照不强或者发生遮挡的花椒图像有较大改善,通过试验得出其平均识别率达到94.0%,比单独采用HSV特性识别时,在顺光,背光和遮阴条件下,识别率分别提高4%,13%和21%,此外在遮阴条件下运行时间缩短14.6%。为遮阴条件下提高花椒识别率提供一种方法。     

草鱼肠系膜脂肪组织高质量总RNA提取方法的研究

基于传统的酸性酚—异硫氰酸胍—氯仿一步提取法,比较分析多种优化操作步骤,摸索出一种高质量提取体质量为80~150 g草鱼肠系膜脂肪组织总RNA的改良方法。试验结果显示,相较于肝脏、脾脏、肠道等脏器组织,草鱼肠系膜脂肪组织RNA丰度低,且极易在样品前处理阶段出现顽固性降解问题。探索发现,将取样量增至约30 mg,可提升RNA产量以满足常规试验需求。针对降解难题,改良常规的样品前处理技术流程,采用鲜样液氮速冻,冻样直接放入TRIzol试剂中裂解,并即刻进行长时间机械匀浆,时长约3 min等核心操作步骤,可显著降低脂肪组织样品RNA的降解。Agilent生物分析仪检测结果显示,改良方法提取的草鱼肠系膜脂肪组织RNA完整度高,关键RIN值为8.7~9.0。研究推测,长时间机械匀浆所形成的持续剪切冲击力或许有助于TRIzol试剂中的异硫氰酸胍等成分突破油滴阻碍而有效抑制内源性RNA酶。本方法提取的草鱼脂肪组织总RNA质量可满足高通量转录组测序要求。     

基于BP神经网络的柴油发动机特性建模

建立连续的发动机燃油特性和调速特性数学模型作为液压机械无级变速器虚拟试验平台的动力源。根据虚拟平台对不同特性区域的精度需求对柴油发动机不同特性区域的试验数据进行不同的密度选取、乱序和归一化处理,采用单隐层BP神经网络对试验数据进行训练,对比不同隐层节点数网络的训练误差和测试误差,选取误差最小的网络,求解出网络的数学表达式。通过该方法以ISLe310柴油发动机为例建立燃油特性和调速特性的连续数学模型,这两个简单的数学表达式准确反映了发动机万有特性和外特性,连续模型避免了虚拟试验中出现信号的突变和奇异点。通过和经典的最小二乘法拟合得到的最优特性模型进行对比,其具有更小的误差、更强的泛化能力,能够更好地反映柴油发动机的相关特性。     

水稻赖氨酸含量测定方法改进及其最优动态分类研究

赖氨酸是水稻营养成分中第一限制性氨基酸。为优化赖氨酸的测定方法,设置了本试验,通过超声振荡器取代普通振荡器,进行300W超声功率下酰化用时及染料结合反应用时的研究。结果表明,最佳酰化用时为15 min,染料结合用时为90 min。与国标法相比,优化后的方法酰化用时变长、染料结合用时变短,测定总用时明显缩短,但测定结果和试验精度更高。可见,采用超声波振荡代替传统振荡器振荡能改进赖氨酸的测定方法。另外,采用最优动态聚类法对赖氨酸含量进行分类,能防止人为分类的不确定性,做到分类方案的最优化。     

Establishment and application of an accurate identification method for fragrant soybeans

In order to screen the aroma characteristics of soybean,a new method was established which can quickly quantify the content of 2-acetyl-1pyrroline (2-AP),an important compound related to soybean aroma,using gas chromatography-mass spectrometry (GC-MS).Based on peak profile,total peak area and retention time as test indexes,an accurate identification method for fragrant soybeans was established.The optimum parameters of the protocol consisted of column temperature70°C,sample injector temperature 180°C,optimum extraction alcohol content 1 m L,Na Cl content 0.1 g,ultrasonication time10 min,and extraction time 1 h,which were established by using the orthogonal test of single factors and three factors with four levels (L_9(3)~4).2-AP content of leaves had significant correlations with seeds,which were easier to measure.The protocol was simple and easy to carry out,consumed only small amounts of reagents,and provided accurate and reliable results with good reproducibility.A total of 101 soybean genotypes from different geographical sources were analyzed using this protocol.The results showed that the average content of 2-AP was 0.29 mg L~(–1),ranging from 0.094 to 1.816 mg L~(–1),and the genetic diversity index was 0.54.Among all genotypes-tested,they were classified into three grades,including seven elite genotypes identified as"grade one fragrant soybeans",which were Zhonglong 608,Heinong 88,Ha13-2958,Hongmiandou,Heinong 82,Huangmaodou,and Jiyu 21.These results provide both an identification technique and several elite aroma genotypes for gene discovery and good quality breeding in soybean.     

应用事件分析法对林业企业发行绿色债券市场效应的评价

在系统梳理绿色债券相关理论基础上,以16个二级行业为研究对象,运用事件分析法分析林业企业上市公司发行绿色债券与股价相关性、林业企业发行绿色债券的市场价值,探索发行绿色债券的林业企业市场效应。结果表明:绿色债券融资对提升公司长短期的市场价值具有重大影响,绿色债券融资是经济实体发展绿色经济的表现,是符合经济趋势和其自身发展趋势的行为。林业企业对绿色债券的发行,持积极股价效应,提升公司市场价值;由于其项目投融资的绿色性,对市场效应有更好的显著性和持续性,对绿色债券的发行表现出积极市场效应,提升企业市场价值。依据绿色债券理论和实践,并结合林业企业自身的生态特性,从林业企业发行绿色债券的政策制度、融资优势、自身特征三个方面,在详细阐述林业企业发行绿色债券可行性基础上,提出林业企业推动绿色债券发行相关建议:构建林业企业绿色债券制度规范、增强林业企业绿色债券融资意识、提高林业企业绿色债券运营能力、加强林业企业绿色债券人才建设。     

Change features of time-series climate variables from 1962 to 2016 in Inner Mongolia,China

Detecting change features of climate variables in arid/semi-arid areas is essential for understanding related climate change patterns and the driving and evolution mechanism between climate and arid/semi-arid ecosystems.This paper takes Inner Mongolia of China,a unique arid/semi-arid ecosystem,as the study area.We first detected trend features of climate variables using the linear trend analysis method and then detected their trend-shift features using the breaks for additive seasonal and trend method based on the time-series of monthly precipitation and monthly mean temperature datasets from 1962 to 2016.We analyzed the different change features of precipitation and temperature on a regional scale and in different ecological zones to discover the spatial heterogeneity of change features.The results showed that Inner Mongolia has become warmer-wetter during the past 54 years.The regional annual mean temperature increased 0.4°C per decade with a change rate of 56.2%.The regional annual precipitation increased 0.07 mm per decade with a slightly change rate of about 1.7%,but the trend was not statistically significant.The warmer trend was contributed by the same positive trend in each season,while the wetter trend was contributed by the negative trend of the summer precipitation and the positive trend of the other three seasons.The regional monthly precipitation series had a trend-shift pattern with a structural breakpoint in the year 1999,while the regional monthly mean temperature series showed an increasing trend without a periodical trend-shift.After the year 2000,the warmer-wetter trend of the climate in Inner Mongolia was accelerated.The late 20th century was a key period,because the acceleration of the wetter trend in some local zones(I and II)and the alleviation of the warmer trend in some local zones(Ⅶ,Ⅷand IX)occurred simultaneously.Moreover,the change features had a strong spatial heterogeneity,the southeastern and southwestern of Inner Mongolia went through a warmer-drier trend compared with the other areas.The spatio-temporal heterogeneity of the climate change features is a necessary background for various types of research,such as regional climate change,the evolution of arid/semi-arid ecosystems,and the interaction mechanisms between climate and arid/semi-arid ecosystems based on earth-system models in Inner Mongolia.     

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。