“一带一路”背景下陕西茶叶跨境电商发展路径研究

陕西作为丝绸之路的发源地，以其有利的自然生态条件和区域产业结构，形成了以茶叶为主导的产业发展格局。目前，陕西省茶叶出口规模不大，市场占有率较低。在“一带一路”倡议的推动下，陕西省茶叶出口至沿线国家的潜力较大，未来将逐步呈上升态势。研究了“一带一路”背景下陕西茶叶跨境电商市场发展现状和存在的问题，提出陕西茶叶跨境电商发展路径，通过借力跨境电商平台、开拓国际市场、稳固绿茶品牌、布局海外仓解决出口难的问题，以及完善跨境电商法律秩序，拓展陕西茶叶跨境电商发展路径。      

箭筈豌豆、玉米产量对间作和施氮水平的响应

研究不同施氮水平下箭筈豌豆、玉米产量对单作和间作的响应,对于优化栽培措施、提高作物产量具有重要意义。本试验于2017年在甘肃河西绿洲灌溉区进行,重点研究是不同施氮水平下箭筈豌豆、玉米在单作及间作模式中干物质累积、产量构成、产量表现。结果表明,间作箭筈豌豆干物质累积量与单作相比在不施氮(N0)、减量施氮(N1)和常规施氮(N2)处理下分别提高44.0%、36.7%和37.2%;施氮水平间,间作模式下N1比N2和N0提高9.1%和25.5%,单作模式下提高9.4%和32.1%。间作玉米干物质累积量与单作相比在N0、N1和N2处理下分别提高23.3%、22.5%和23.0%;施氮水平间,间作模式下N1比N2和N0提高9.3%和19.8%,单作模式下提高9.9%和20.7%。间作模式下箭筈豌豆豆荚数和玉米穗数较相应单作分别增加7.6%和14.5%,两者的产量较单作分别提高34.9%和27.0%。由通径分析可知,箭筈豌豆产量决定次序是豆荚数>粒重>单荚粒数,玉米产量决定次序是穗数>粒重>穗粒数。间作结合施氮量240 kg/hm²能获得较高干物质积累量和产量,是河西灌溉区玉米间作箭筈豌豆适宜的施氮水平。     

基于智能算法的猪饲料配方优化数学模型

在多种原料配比过程中，营养指标因素复杂的实际情况及控制成本保证收益的现实需求，文章结合智能算法背景，进行猪饲料配方优化设计，建立猪饲料配方模型，采用智能算法求解饲料配方的过程，对于生猪饲料配方进行建模，同时优化出饲料配方。结果表明，智能算法的猪饲料配方优化能够解决多种原料配比以及多个营养指标复杂因素，实现快速计算和生产处理，对企业生产者、销售经营者、实际消费者具有十分重大的价值与现实意义。 [关键词]智能算法|猪饲料|配方优化|数学模型     

绿色富硒生物猪饲料中AFB1达标生产工艺优化研究

饲料中黄曲霉毒素(AFB₁)容易超标,检出率达80%~100%,毒性大,具强致癌性,可抑制生猪免疫机能,降低动物生产性能,引起动物继发感染,还会在动物产品中残留而威胁人类健康,给生猪养殖带来经济损失,降低猪肉食品安全性。本文通过使用先进固体发酵系统设备和益生菌发酵技术,采用单因素试验和响应面中试优化,获得发酵降解猪饲料AFB₁的最佳工艺参数为硒浓度0.3 mg/kg,发酵时间12 h,量子波强度30 Hz,益生菌菌种组合CGMCC NO.17328混合CGMCC NO.15611。该工艺将猪饲料AFB₁量从63.41μg/kg降解到2.98μg/kg,降解率达到95.30%,AFB₁含量达到国家饲料安全标准。生产工艺适合养猪场低成本快速生产AFB₁达标猪饲料。     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

Associations between morphometric variables and weight and yields carcass in Pirapitinga Piaractus brachypomus

The objective of this work was to evaluate the association between morphometric variables and carcass characteristics in Pirapitinga. We used a thousand specimens of Pirapitinga with an average weight of 1,200 g, which were stunned, slaughtered, weighed, measured, and processed for morphometric and processing yield analysis, to obtain weights, carcass and fillet yields. Initially, the linearity of the variables was verified. Pearson's simple and partial correlation tests were performed between all metrics. Track analysis was performed considering the weights and yields of carcass and filet as dependent variables and the others as independent variables. Ridge regression models were used to eliminate the effects of multicollinearity among the independent variables. Observations showed that the simple correlations between body weights and yields were superior to the partial ones in terms of magnitude. The length and circumference of the specimens were the measures most linearly associated with weight, carcass weight and fillet with rib weight. As for carcass yield and fillet yield, linear correlation coefficients were low and not significant when associated with body weights. With the path analysis, we could observe significant positive correlations between the morphometric measurements for weight, carcass weight and fillet with rib weight. The standard length, body circumference and body circumference/body height ratio are the most correlated. The latter are the most important variables in the evaluation of body weights in Pirapitinga fish. They can serve as criteria for indirect selection in searching for fish with better carcass characteristics. As for fillet and carcass yields, the morphometric variables have not shown to be efficient for indirect selection.     

绿茶低温负压干燥工艺优化研究

干燥是绿茶品质定型的关键工序之一，为生产优质绿茶，尤其是保留色泽和营养成分，对绿茶的干燥工艺进行了探索。通过比较传统热风干燥和低温负压干燥，发现低温负压的干燥效率平均提高30%，且在内质成分保留方面具有明显优势。分别以干燥时间、叶绿素、水浸出物、氨基酸，儿茶素和茶多酚含量为考察指标，采用多指标正交试验优化绿茶低温负压干燥工艺，结果表明，绿茶最优低温负压干燥条件为干燥温度75 ℃，负压（0.03 MPa）4 min，低温15 min。应用最优工艺加工超微茶粉，与传统工艺超微茶粉比较发现，低温负压干燥技术可有效保留原茶主要品质成分，提高超微茶粉品质。     

PBD和RSM联用优化聚酯型儿茶素A化学合成技术参数

为探明化学合成条件对聚酯型儿茶素A（Theasinensin A,TSA）得率的影响,通过单因素试验和Plackett-Burman Design（PBD）确定TSA化学合成关键因子,然后采用响应面法（Response surface methodology,RSM）,进一步优化TSA化学合成技术参数。结果表明,氯化铜用量、甲醇体积分数、温度对TSA得率的影响差异极显著,主因素效应为甲醇体积分数>氯化铜用量>温度,最优条件为氯化铜用量43%,甲醇体积分数26%,温度15℃,聚酯型儿茶素得率为59.12%,与模型预测值59.34%接近。PBD和RSM联用优化TSA化学合成工艺可行,预测性较好,可为其他种类儿茶素氧化聚合物的高效化学合成提供借鉴和理论依据。     

引进甘蔗种质资源杂交后代适应性评价

通过对引进甘蔗种质资源24个杂交后代的的10个农艺性状进行主成分分析、回归分析与通径分析,科学评价引种甘蔗种质资源在广西本地的农艺性状表现,探究各农艺性状间的协同制约关系,为甘蔗种质资源的精准评价和杂交育种材料的科学选配提供理论依据。结果表明:(1)主要农艺性状变异系数为6.79%~29.44%,24个甘蔗种质在分蘖和蔗糖产量上有较大的遗传改良潜力。(2)主成分分析将这10个农艺性状凝聚成4个主成分,分别为产量因子、有效茎因子、糖分因子和出苗因子,贡献率分别是35.2%、16.5%、15.3%、12.1%,累计贡献率达到79.1%;(3)通径分析中各性状对糖产量的直接通径系数大小依次为:蔗茎产量(0.927)>蔗糖分(0.399)>单茎重(0.039)。表明:甘蔗品种(系)GUC23-1、GUC15-2、GUC23、GUC34、GUC25在广西的丰产性最优,在甘蔗引种和选育中,考虑将蔗茎产量、蔗糖分、单茎重作为主要选择性状。     

isopropylstilbene发酵条件优化及其对灰葡萄孢的抑制作用

isopropylstilbene (3, 5-二羟基-4-异丙基二苯乙烯) 是发光杆菌Photohabdus temperata产生的一种二苯乙烯类化合物，具有多种生物活性。为促进isopropylstilbene在农业抗生素领域应用价值的开发，采用固相萃取、柱层析等技术从发光杆菌P. temperata SN 35的发酵液中分离纯化得到1个化合物，通过核磁共振氢谱对其结构进行了确认，并采用高效液相色谱测定了其纯度；通过Plackett-Burman试验和响应面法对发光杆菌SN 35摇瓶发酵培养条件进行了优化，并初步研究了所分离化合物对灰葡萄孢Botrytis cinerea的离体抑菌活性及对灰霉病的防治效果。结果表明:所分离的化合物为isopropylstilbene，纯度为93%；对发光杆菌SN 35摇瓶发酵培养条件进行优化后，isopropylstilbene的产量是优化前的2.22倍。离体抑菌试验结果表明:isopropylstilbene对灰葡萄孢的菌丝生长具有较好的抑制作用，其EC₅₀值为 (9.17 ± 0.17) μg/mL，但低于对照药剂百菌清[EC₅₀值为 (0.90 ± 0.08) μg/mL]；在10 μg/mL下，isopropylstilbene对灰葡萄孢孢子萌发的抑制率为63.01%。活体盆栽试验结果表明，在200 μg/mL下，isopropylstilbene对黄瓜灰霉病的防治效果达92.19%，与百菌清的防效 (97.63%) 相当，对番茄灰霉病的防治效果为72.12%，略低于百菌清 (81.61%)。本研究通过对isopropylstilbene发酵条件的优化，为其工业化生产奠定了理论基础。该化合物对灰霉病具有很好的防治效果，可为天然杀菌剂的研究与开发提供参考。