基于浑浊度监测山区河流悬浮泥沙含量的试验研究

针对山区河流悬浮泥沙含量监测缺乏实时性的问题,对浑浊度及悬浮泥沙含量进行监测,分析光照强度、流速、颗粒粒径和水体含沙量对浑浊度的影响,建立浑浊度与悬浮泥沙含量的关系模型式。结果表明： 1）光照强度对浑浊度的影响最大,根据二者之间的关系,将光照强度（E）划分为3个区间：E≤6 800 lx、6 800 lx <E≤22 000 lx、E>22 000 lx,对应于3个区间,确定了浑浊度与悬浮泥沙含量的关系模型; 2）水流流速主要影响上层泥沙颗粒的分布,流速为0.16 m/s时测量区域的浑浊度大于流速为0.018 m/s时的浑浊度; 3）泥沙颗粒的粒径大于扬动流速能带动的临界粒径时,其会沉积在渠底,因此,泥沙级配中大于临界粒径的颗粒占比越大,悬浮泥沙含量越小,浑浊度越小; 4）水体含沙量越大,水沙输移过程中携带悬浮泥沙的量也越多,测量区域上层水样的浑浊度越大; 5）采用本研究确定的浑浊度与悬浮泥沙含量的3个关系模型,预测得到的悬浮泥沙含量与实际悬浮泥沙含量的平均相对误差分别为7.22%、10.00%、8.58%。根据在自然条件下不同光照强度区间测得的浑浊度,可以得出该测量区域的悬浮泥沙含量。由于浑浊度可以现场连续、快速测得,所以将此方法引入山区河流悬浮含沙量实时监测是可行的。     

黄瓜根际促生菌的促生效应与防病作用

对黄瓜植物根际促生菌(PGPR)菌株的分离筛选、分类鉴定以及人们对其促生防病作用的应用和防病机制的研究现状进行了综述,以期为新型PGPR制剂的进一步研制、开发和应用提供参考.     

油菜产量目标设计与品种选择的知识模型

运用知识工程和系统建模方法，在综合考虑决策点光温生产潜力、历史平均产量水平、土壤肥力、肥水管理水平和生产技术水平等诸多因子对增产系数影响的基础上，通过动态量化增产系数，建立了具有时空适应性的油菜产量目标设计知识模型；通过定量计算油菜品种特征值与环境因子和生产需求之间的符合度，建立了适宜品种选择的量化知识模型。利用南京、郑州和保定3个不同生态点的常年逐日气象资料以及不同品种类型资料对产量目标设计模型进行了实例分析；利用南京、仪征、如皋、郑州和保定5个不同生态点常年逐日气象资料以及13个不同品种资料对品种选择知识模型进行了实例分析。结果表明，所建知识模型具有较好的决策性和广适性。     

贺州市春夏紫红长茄品种引选试验

为筛选出适合贺州市春夏种植的紫红长茄新品种,以本地主栽品种瑞丰三号为对照,对引进的奥龙、先锋8号F1、天龙8号F1、丰裕先锋一号4个新品种进行了比较。试验结果表明,奥龙紫红长茄新品种表现最佳,不仅高产,且果形、皮色、色泽等外观品质均较好,早熟性较好,具有很强的抗逆性,比较适合贺州市提供粤港澳大湾区蔬菜市场,可作贺州市春夏紫红长茄品种推广种植。     

Heat stress-induced mucosal barrier dysfunction is potentially associated with gut microbiota dysbiosis in pigs

Heat stress(HS)can be detrimental to the gut health of swine.Many negative outcomes induced by HS are increasingly recognized as including modulation of intestinal microbiota.In turn,the intestinal microbiota is a unique ecosystem playing a critical role in mediating the host stress response.Therefore,we aimed to characterize gut microbiota of pigs’exposure to short-term HS,to explore a possible link between the intestinal microbiota and HS-related changes,including serum cytokines,oxidation status,and intestinal epithelial barrier function.Our findings showed that HS led to intestinal morphological and integrity changes(villus height,serum diamine oxidase[DAO],serum D-lactate and the relative expressions of tight junction proteins),reduction of serum cytokines(interleukin[IL]-8,IL-12,interferongamma[IFN-g]),and antioxidant activity(higher glutathione[GSH]and malondialdehyde[MDA]content,and lower superoxide dismutase[SOD]).Also,16S rRNA sequencing analysis revealed that although there was no difference in microbial a-diversity,some HS-associated composition differences were revealed in the ileum and cecum,which partly led to an imbalance in the production of short-chain fatty acids including propionate acid and valerate acid.Relevance networks revealed that HS-derived changes in bacterial genera and microbial metabolites,such as Chlamydia,Lactobacillus,Succinivibrio,Bifidobacterium,Lachnoclostridium,and propionic acid,were correlated with oxidative stress,intestinal barrier dysfunction,and inflammation in pigs.Collectively,our observations suggest that intestinal damage induced by HS is probably partly related to the gut microbiota dysbiosis,though the underlying mechanism remains to be fully elucidated.     

籼型恢复系郴R92-225的杂交和辐射选育及应用

本文介绍了籼型恢复系郴R92-225的杂交和辐射选育过程、特征特性及配制杂交组合应用于生产的情况。对选育的郴R92-225的有利变异和选育方法及应用进行了讨论。     

基于随机森林特征优选的雪茄烟叶晾制过程含水率预测

针对雪茄烟叶晾制过程含水率人工判断主观性强、准确度低等不足,以及对影响雪茄烟叶晾制过程含水率预测的重要表观特征尚不明确等问题,该研究基于图像特征提取以及机器学习技术实现雪茄烟叶晾制过程含水率的预测。试验以雪茄烟品种“云雪2号”为试验材料,获取晾制过程的烟叶图像的颜色、轮廓、纹理以及部位四类特征并筛选出雪茄烟叶含水率预测的优选图像特征子集。在此基础上,构建了随机森林（random forest, RF）、支持向量机（support vector regression, SVR）与反向传播神经网络（back propagation neural network, BPNN）模型,并利用遗传算法（genetic algorithm, GA）对各模型超参数进行优化,将原始图像特征集与优选图像特征集输入3个机器学习模型,构建出6种模型-特征组合方案,依据晾制时期对原始数据集进行划分,并对测试集进行预测。最终结果显示：GA-SVR模型+优选图像特征子集的组合方案在测试集上表现最优,其决定系数（coefficient of determination,r²）与均方误差（mean square error,MSE）分别为0.980和0.001,且运行时间最短（运行时长=0.128 s）。研究结果可为雪茄烟叶晾制过程智能化控制提供理论依据。     

羊链球菌CVCC55001、CVCC55002株的制备与鉴定

为研究羊链球菌CVCC55001、CVCC55002株的菌种特性,制备了新的菌种批并对其形态及生化特性、培养特性、血清学特性、真空度、纯粹、剩余水分、毒力及免疫原性等进行鉴定,对其适宜培养基进行了筛选.试验结果表明,该冻干菌种的形态及生化特性、培养特性、血清学特性、真空度、纯粹、剩余水分、毒力及免疫原性均符合《中华人民...     

Use of genomic recursions and algorithm for proven and young animals for single‐step genomic BLUP analyses – a simulation study

The purpose of this study was to examine accuracy of genomic selection via single‐step genomic BLUP (ssGBLUP) when the direct inverse of the genomic relationship matrix ( G ) is replaced by an approximation of G ^?1 based on recursions for young genotyped animals conditioned on a subset of proven animals, termed algorithm for proven and young animals (APY). With the efficient implementation, this algorithm has a cubic cost with proven animals and linear with young animals. Ten duplicate data sets mimicking a dairy cattle population were simulated. In a first scenario, genomic information for 20k genotyped bulls, divided in 7k proven and 13k young bulls, was generated for each replicate. In a second scenario, 5k genotyped cows with phenotypes were included in the analysis as young animals. Accuracies (average for the 10 replicates) in regular EBV were 0.72 and 0.34 for proven and young animals, respectively. When genomic information was included, they increased to 0.75 and 0.50. No differences between genomic EBV (GEBV) obtained with the regular G ^?1 and the approximated G ^?1 via the recursive method were observed. In the second scenario, accuracies in GEBV (0.76, 0.51 and 0.59 for proven bulls, young males and young females, respectively) were also higher than those in EBV (0.72, 0.35 and 0.49). Again, no differences between GEBV with regular G ^?1 and with recursions were observed. With the recursive algorithm, the number of iterations to achieve convergence was reduced from 227 to 206 in the first scenario and from 232 to 209 in the second scenario. Cows can be treated as young animals in APY without reducing the accuracy. The proposed algorithm can be implemented to reduce computing costs and to overcome current limitations on the number of genotyped animals in the ssGBLUP method.     

图牧吉自然保护区白鹤秋季觅食地生境初步研究

2004年8～9月采用定点观察法、GPS定位法和样方法对内蒙古扎赉特旗图牧吉国家级自然保护区白鹤的秋季停歇期的觅食地生境进行了调查研究,数据分析结果显示：在201个实验样方和201个对照样方中,苔草高度、芦苇高度、香蒲高度、植被盖度和植被密度的t值均小于0．05,存在显著或极显著差异;另外,主成分分析结果显示,前4个主成分的累积贡献率达到56．652％,在第一主成分中,水稗草高度和水流状况的贡献率较高;在第二主成分中,水深和水透明度的贡献率较高;在第三主成分中,香蒲高度和植被密度的贡献率较高：在第4主成分中,苔草高度的贡献率较高。