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81.
2018年9月,比利时公共健康研究院(国家非洲猪瘟参考实验室)确认在瓦隆地区发现野猪感染非洲猪瘟病毒,毒株与2007年欧洲首例非洲猪瘟病毒株非常相似。欧盟和比利时通过采取卓有成效的控制措施,截至目前未发生家猪感染病例。主要防控经验:一是出台法规,组建非洲猪瘟政策委员会,及时评估和措施调整;二是根据OIE的原则要求建立管控区,借助人工屏障和自然屏障,防止感染野猪跨区域移动;三是完善养殖企业生物安全管理制度,防止野猪和家猪的接触,并通过SANITEL系统对境内的所有家猪开展标识追溯,防止高风险地区家猪的非法移动;四是做好宣传,使兽医、养殖户、狩猎者了解非洲猪瘟相关认知,确保防控义务落实到人。 相似文献
82.
基于光声光谱和TCA迁移学习的稻种活力检测 总被引:1,自引:1,他引:0
种子活力是决定水稻产量的最重要因素之一,但目前水稻种子活力的近红外和高光谱等无损检测方法易受种子表皮颜色影响,且所建模型难以适应新品种。该研究提出基于光声光谱技术的稻种活力无损检测方法并结合迁移学习进行新品种稻种活力检测。首先,对Y两优、龙粳、南粳、宁粳、武运粳、新两优等具有区域代表性的典型6种水稻品种,进行高温高湿人工老化处理,得到0~7 d老化时间的水稻种子;再通过调制频率获得8种不同深度的光声光谱信息,用主成分分析、竞争性自适应重加权算法对光谱降维得到特征光谱后,对Y两优、龙粳、南粳、宁粳、武运粳分别建立偏最小二乘回归(Partial Least Squares Regression,PLSR)、反向传播神经网络(Back Propagation Neural Network,BP)、广义回归神经网络(Generalized Regression Neural Network,GRNN)、支持向量回归模型(Support Vector Regression,SVR)、深度卷积神经网络(Convolutional Netural Network,CNN)的稻种活力预测模型,并选择最优调制频率;最后,通过迁移学习将建立的模型迁移到新两优稻种进行活力预测。结果表明,光声光谱最佳扫描频率为300 Hz,CNN预测模型精度较高,相关系数和均方根误差分别优于0.990 9、低于0.967 5;且经过迁移学习,仅需通过对源域数据的训练,即可直接对新品种稻种的活力进行精确预测;通过TCA迁移学习后,新两优稻种活力预测的相关系数从0.718 5提高到0.990 3。研究表明,采用光声光谱深度扫描技术对不同种类稻种的活力进行高精度检测是可行的,且经过迁移学习,仅需80粒新品种稻种信息即可实现稻种活力的精确预测。 相似文献
83.
探究是否可以将行距比例和种植密度集成于同一作物生产系统中来提高作物产量,增加水分利用效率。以玉米"五谷568"为研究材料,于2017—2018年进行大田试验,设7∶3(L_1,宽行56 cm∶窄行24 cm),6∶4 (L_2,宽行48 cm∶窄行32 cm),5∶5(L_3,等行距40 cm) 3个行距比例水平,82 500株/hm~2(D_1)、90 000株/hm~2(D_2)、97 500株/hm~2(D_3)、105 000株/hm~2(D_4)、112 500株/hm~2(D_5) 5个种植密度,探讨不同行距比例及密度处理对玉米的耗水特征、产量及水分利用效率的影响。结果表明,L1行距比例可有效降低玉米耗水量,但会增加棵间蒸发,对E/ET影响不显著,其中2017年L_1较L_3能有效降低耗水量11.9%,2018年无显著差异;此外与传统行距比例相比,L_1行距比例具有增产优势,玉米增产5.2%~10.5%,提高水分利用效率6.5%~8.7%。密度间比较,D_3密度较传统密度D_1能有效降低耗水量、棵间蒸发量以及E/ET,对玉米增产及水分利用效率的提高有促进作用;其中D_3密度较传统密度D_1耗水量降低13.3%,2018年差异不显著;棵间蒸发量减小7.1%~7.2%;E/ET减小6.8%~19.2%;玉米增产7.5%~17.1%;水分利用效率提高23.9%~46.2%。2年L_1D_3较传统处理L_3D_1耗水量降低12.8%~30.6%;棵间蒸发量降低8.5%~10.4%;E/ET降低7.3%~7.5%;玉米产量增加7.7%~25.5%;水分利用效率提高36.0%~41.2%。因此,在河西绿洲灌区,7∶3(L_1,宽行56 cm∶窄行24 cm)行距比例结合97 500株/hm~2(D_3)种植密度可有效增加玉米产量,提高玉米水分利用效率。 相似文献
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85.
张婷袁伟涛郭肖兰王凯英徐超 《动物营养学报》2023,(4):2571-2579
This experiment was conducted to study the effects of dietary lactic acid bacteria (LAB) and fructooligosaccharides (FOS) on growth performance, nutrient digestibility and serum biochemical indices of Arctic foxes (Alopex lagopus) during early growth period. Sixty male post-litter Arctic foxes with the average body weight of (1.16±0.15) kg and at the age of (45±3) days were randomly assigned to 4 groups with 3 replicates per group and 5 foxes per replicate. The foxes were fed the following diets, respectively: basal diet (control group), basal diet+3×109 CFU / kg LAB (LAB group), basal diet+5 g / kg FOS (FOS group) and basal diet+3×109 CFU / kg LAB+5 g / kg FOS (LAB+FOS group). The experiment lasted for 30 days. The results showed as follows: 1) on the days 1 to 15, the diarrhea rate of foxes in the LAB group and LAB+FOS group was significantly lower than that in the control group and FOS group (P<0.05). On the days 16 to 30, the average daily gain of foxes in the LAB+FOS group was significantly higher than that in the control group and FOS group (P<0.05), but had no significant difference with LAB group (P>0.05); the diarrhea rate of foxes in the LAB+FOS group was significantly lower than that in the control group and FOS group (P<0.05), but had no significant difference with LAB group (P>0.05); compared with the FOS group, the feed to gain ratio of foxes in the LAB+FOS group was significantly decreased (P<0.05). 2) The dry matter digestibility of foxes in the LAB + FOS group was significantly higher than that in the control group and FOS group (P < 0.05), but had no significant difference with LAB group (P>0.05). There were no significant differences in nitrogen intake, fecal nitrogen, urine nitrogen, nitrogen deposition, net protein utilization and protein biological value among all groups (P>0.05). 3) Serum total protein (TP) content of foxes in the LAB+FOS group was significantly higher than that in the FOS group (P<0.05), but had no significant difference with control group and LAB group (P>0.05). Serum albumin (ALB) content of foxes in the LAB group was significantly higher than that in the control group and FOS group (P<0.05), but had no significant difference with LAB+ FOS group (P>0.05). Serum urea nitrogen (UN) content of foxes in the LAB+FOS group was significantly decreased compared with the control group (P < 0. 05). In conclusion, the combined supplementation of 3 × 109 CFU / kg LAB and 5 g / kg FOS in the diet is beneficial to reduce diarrhea rate, improve dry matter digestibility, improve body immune level, and promote the growth of Arctic foxes during early growth period. © 2023 Chinese Journal of Urology. All rights reserved. 相似文献
86.
Yuting Cai Shifeng Cao Zhenfeng Yang Yonghua Zheng 《Postharvest Biology and Technology》2011,59(3):324-326
This study investigated the regulation of ascorbate acid (AsA) and glutathione metabolism and chilling tolerance by methyl jamonate (MeJA) in loquat fruit. The results showed that application of MeJA to loquat fruit inhibited the incidence of chilling injury manifested as internal browning (IB) and increased AsA and reduced glutathione (GSH) contents due to the inhibition of ascorbate oxidase activity and enhancement of monodehydroascorbate reductase, dehydroascorbate reductase and glutathione reductase activities. Meanwhile, MeJA also enhanced activities of ascorbate peroxidase, glutathione peroxidase and glutathione-S-transferase. Our results suggested that MeJA can regulate the ascorbate and glutathione metabolism and has important roles in alleviating oxidative damage and enhancing chilling tolerance in loquat fruit. 相似文献
87.
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89.
为探究非洲猪瘟病毒(African swine fever virus,ASFV)标准物质作为试剂盒评价体系的可行性,比较了市场上5种主流品牌ASFV荧光PCR检测试剂盒的检测性能。使用ASFV P72基因核酸标准物质作为模板,根据5种试剂盒说明书分别进行相应的荧光定量PCR检测,结合扩增曲线、Ct值,分析不同试剂盒的敏感性、可重复性以及所需反应时间。结果显示:5种试剂盒的阴性、阳性对照均成立,最低检测限均为5.9×10-1拷贝/μL;4个厂家的试剂盒线性关系R2>0.98,其中最优的R2=0.994,离散度最小;各试剂盒的实际反应耗时与理论反应耗时均有一定差异(0.20~0.96 h)。结果表明,各生产厂家使用P72基因作为靶基因研制的ASFV荧光PCR检测试剂盒都可以使用ASFV标准物质作为评价体系,来评判试剂盒的检测性能。本试验为各实验室不同样品检测的ASFV荧光PCR检测试剂盒选择提供了一种可用的评价方法。 相似文献
90.
Accurate and cost‐effective mapping of karst rocky desertification (KRD) is still a challenge at the regional and national scale. Visual interpretation has been utilised in the majority of studies, while an automated method based on pixel data has been investigated repeatedly. An object‐based method coupling with support vector machine (SVM) was developed and tested using Enhanced Thematic Mapper Plus (ETM+) images from three selected counties (Liujiang, Changshun and Zhenyuan) with different karst landscapes in SW China. The method supports a strategy of defining a mapping unit. It combined ETM+ images and ancillary data including elevation, slope and Normalized Difference Vegetation Index images. A sequence of scale parameters estimation, image segmentation, training data sampling, SVM parameters tuning and object classification was performed to achieve the mapping. A quantitative and semi‐automated approach was used to estimate scale parameters for segmenting an object at an optimal scale. We calculated the sum of area‐weighted standard deviation (WS), rate of change for WS, local variance (LV) and rate of change for LV at each scale level, and the threshold of the aforementioned index that indicated the optimal segment level and merge level. The KRD classification results had overall accuracies of 85·50, 84·00 and 84·86 per cent for Liujiang, Changshun and Zhenyuan, respectively, and kappa coefficients are up to 0·8062, 0·7917 and 0·8083, respectively. This approach mapped six classes of KRD and offered a visually appealing presentation. Moreover, it proposed a conceptual and size‐variable object from the classification standard of KRD. The results demonstrate that the application of our method provides an efficient approach for the mapping of KRD. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献