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31.
大豆是我国重要的粮食作物和油料作物,其价格对于国民经济尤其是农业经济的影响意义深远。大豆价格的稳定对于我国大豆市场的健康发展有着重要的现实意义。在灰色理论的基础上,提出了一种改进GM(1,N)大豆价格预测模型,首先运用灰色关联分析法对我国大豆价格的影响因素进行分析,选择主要的影响因素;再将这些影响因素作为模型的相关因素变量,构建GM(1,N)大豆价格预测模型。采用2010-2015年的大豆数据进行实证研究,模型选取国内大豆自给量、世界大豆产量、国民消费价格指数、消费者信心指数4个变量作为相关因素变量;模型预测误差为2.10%,预测精度较高,能够较好地掌握大豆价格的变化规律,可以为大豆价格市场预测及国家宏观政策的制定提供理论指导。  相似文献   
32.
The study was conducted to explore the potential different characters between Blue-shelled chicken and White leghorn.Global genome microRNA was combined the identified microRNA with complementary lab-predicted microRNA.Then the two breed chicken's SNP data got by GGRS were mapped to the microRNA and focused on SNP that deliberately located in mature-microRNA.Bioinformatics method was adopted for target prediction on microRNA which had SNPs.By further gene enrichment analysis,the study found these genes enriched in 22 GO terms,10 KEGG pathways,and 3 IPA important networks.And they enriched in traits which associated with growth,such as mTOR signaling pathways,Wnt signaling pathways,growth hormone receptor networks and insulin-like growth factor Ⅰ receptor networks.And they also enriched in some laying traits,such as oocyte meiotic signaling pathways and progesterone mature oocytes signaling pathways.The methods and the results might provide references for further studies.  相似文献   
33.
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.  相似文献   
34.
以抗新城疫病毒F蛋白的单克隆抗体为一抗,建立了间接免疫荧光染色法(IFA)检测石蜡切片中鸭副黏病毒(DPMV)的方法。以建立的IFA对DPMV人工感染鸭的各组织器官进行检测,结果显示:各组织器官均能检测到DPMV,但不同时间取样,阳性信号分布的器官不同。脾脏、胸腺、法氏囊、肠道、肝脏、肺脏DPMV的阳性检出率较高,表明这些器官为DPMV的主要靶器官。在所检测的阳性组织中,病毒抗原分布在细胞浆中。IFA检测石蜡切片中的DPMV具有直观、特异性强的优点,是对DPMV进行检测和抗原定位的良好方法。  相似文献   
35.
人兽共患寄生虫种类多、宿主广泛且危害严重。血吸虫病、棘球蚴病、囊尾蚴病、旋毛虫病、弓形虫病等是常见的重要人兽共患寄生虫病。人类和家畜饱受寄生虫病的危害,这对公共卫生和畜牧业造成了很大的影响。控制传染源、切断传播途径和保护易感群是控制人兽共患寄生虫病流行的综合防控措施。在综合防控策略中,疫苗的使用是切断循环链、控制乃至消灭人兽共患寄生虫病的理想和有效途径之一。选用高效的抗原筛选方法挖掘潜在的疫苗候选分子是开发疫苗的前提和关键。抗原筛选技术的更新换代使得研究者发掘出了更多新抗原和保护性多肽。现有的抗原筛选方法主要包括传统的粗抗原筛选法、cDNA文库筛选法、蛋白质组学筛选法、生物信息学及多组学技术联合筛选法。很多抗原筛选的方法是伴随寄生虫疫苗研究的发展应运而生的,粗抗原筛选法是基于抗原抗体相互反应的免疫学原理而设计的,此方法筛选的天然抗原可引起机体较强的免疫反应;cDNA文库筛选抗原的优势在于筛选更有针对性,所以候选产物的成分更单一、明确;蛋白质组学筛选法是基于质谱而兴起的一种筛选技术,它既可对未知蛋白组分进行鉴定,还可对鉴定结果进行差异比较,在未知分子的发现和功能特殊的靶分子筛选中发挥着重要作用;随着后基因时代的到来,生物信息学及多组学联合筛选技术使得抗原筛选逐步进入了多维、立体的筛选模式,也使得候选抗原及其表位的功能研究更加深入,这为基因工程疫苗和多肽疫苗候选分子的筛选提供了技术手段。  相似文献   
36.
为准确估算气象资料短缺地区参考作物腾发量,构建了一种基于HHT变换的PSO-LSSVM耦合模型,并利用新疆和田气象站2000—2009年单日数据做训练、双日数据做验证。结果表明,该模型估算ET0方法明显优于常规的PSO-LSSVM和GRNN,预测精度较二者分别提高了15.7%~85.6%和15.8%~93.7%;该方法预测ET0的气象要素重要性为RsTmaxTminRHWn,利用该方法对气象要素组合为Tmax/Tmin/RH/Wn、Tmax/RH/Wn、Tmin/Wn、Wn条件下的ET0预测,MSE分别为0.407、0.185、0.149、0.135,说明该方法可以很好地估算资料缺失地区ET0。  相似文献   
37.
In order to study and analyze L1 gene of bovine papillomavirus(BPV)in Guizhou province,the L1 gene of BPV-GZ01 strain was amplified,cloned and sequenced using bioinformatic softwares and methods,and the secondary structure,tertiary structure,B-cell preponderant epitope,conserved domains analysis, transmembrane domain and signal peptide of L1 gene were predicted.The results showed that the length of L1 gene was 1 494 bp,encoding 497 amino acids.The L1 gene of BPV-GZ01 strain shared an amino acid identities of 98.6%,99.4%,98.4%,94.4% and 91.3%,and a nucleotide identities of 99.1%,99.8%,99.4%,87.6% and 82.8% with those of BPV2,BPV2-SW01,BPV2-AKS01,BPV13 and BPV1 strains,respectively.The results of phylogenetic tree analysis indicated that there was a close relationship between BPV-GZ01 and BPV2-SW01 strains.The prediction of secondary structure of L1 protein indicated that the random coil,extended strand and alphahelix took a higher percentage.The L1 protein was supposed contain 6 potential antigen epitopes.And no transmembrane domains and no signal peptide were found.The tertiary structure of L1 protein was curved spiral structure.These results provided a theoretical basis for immunologic diagnosis and further research of nucleic acid vaccine of BPV.  相似文献   
38.
In order to analyze the antigenicity of porcine Japanese encephalitis virus (JEV) E protein domain Ⅲ, which was expressed by pET-28a vector with His-tag and purified through Ni-NTA, the BALB/c mice were immunized with the purified protein.We identified the antigenicity of domain Ⅲ of E protein and the anti-mice and anti-porcine JEV E Ⅲ protein specific antibody titers by SDS-PAGE, Western blotting, indirect ELISA and IFA.SDS-PAGE results showed the expressed target protein existed mainly in the form of inclusion body.Western blotting, ELISA test results showed that the protein had good reactivity with anti-serum.The mice immunized with the purified JEV E Ⅲ protein generated 1×105 anti-JEV E Ⅲ protein specific antibody titers by ELISA, and the porcine immunized with the porcine JEV generated 5.1×104 anti-JEV specific antibody titers.The IFA results showed that JEV E Ⅲ protein anti-serum could identify JEV antigen.The above results showed that the recombinant JEV E Ⅲ had good antigenicity.These results provided important basis for development of diagnostic antigen for JEV.  相似文献   
39.
为建立倍他米松(BET)ELISA检测方法,先使BET与琥珀酸酐反应,再采用活化酯法与牛血清白蛋白(BSA)偶联制备免疫原;其次,利用免疫动物获得多克隆抗体,经Sephrose 4B-proteinA方法对抗体进行纯化;最后,建立倍他米松ELISA检测方法。结果表明,免疫抗原偶联成功,获得了亲和力较高的多克隆抗血清,间接竞争ELISA测定其滴度为102 400、IC15为6.60×10-5 ng/mL和IC50为0.97ng/mL。该方法适用于残留在动物性食品中的BET现场大批量检测。  相似文献   
40.
There is an increasing interest in using whole‐genome sequence data in genomic selection breeding programmes. Prediction of breeding values is expected to be more accurate when whole‐genome sequence is used, because the causal mutations are assumed to be in the data. We performed genomic prediction for the number of eggs in white layers using imputed whole‐genome resequence data including ~4.6 million SNPs. The prediction accuracies based on sequence data were compared with the accuracies from the 60 K SNP panel. Predictions were based on genomic best linear unbiased prediction (GBLUP) as well as a Bayesian variable selection model (BayesC). Moreover, the prediction accuracy from using different types of variants (synonymous, non‐synonymous and non‐coding SNPs) was evaluated. Genomic prediction using the 60 K SNP panel resulted in a prediction accuracy of 0.74 when GBLUP was applied. With sequence data, there was a small increase (~1%) in prediction accuracy over the 60 K genotypes. With both 60 K SNP panel and sequence data, GBLUP slightly outperformed BayesC in predicting the breeding values. Selection of SNPs more likely to affect the phenotype (i.e. non‐synonymous SNPs) did not improve the accuracy of genomic prediction. The fact that sequence data were based on imputation from a small number of sequenced animals may have limited the potential to improve the prediction accuracy. A small reference population (n = 1004) and possible exclusion of many causal SNPs during quality control can be other possible reasons for limited benefit of sequence data. We expect, however, that the limited improvement is because the 60 K SNP panel was already sufficiently dense to accurately determine the relationships between animals in our data.  相似文献   
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