Detect unique molecular structure associated with physiochemical properties in CDC varieties of oat grain with unique nutrient traits [Feed Type vs. Milling Type] in comparison with barley grain using advanced molecular spectroscopy as a non-destructive biological tool

The objective of this study was to determinate grain unique protein inherent molecular structure that are related physiochemical and nutrient profiles in CDC developed oat varieties [CDC Nasser (Feed Type) and CDC Seabiscuit (Milling Type)] grown in cool climate condition in western Canada in comparison with conventional barley variety of CDC Meredith as a control using advanced molecular spectroscopy. Multivariate analyses, including an agglomerative hierarchical cluster analysis (CLA) and principal component analysis (PCA), were performed to identify protein molecular structural differences among the grains. The results revealed that CDC Seabiscuit contained greater (P < 0.05) protein structural Amide I and II than CDC Nasser and CDC Meredith, while the greater (P < 0.005) structural Amide I to II area and height ratios was detected in CDC Meredith. New oat grains had greater (P < 0.05) β-sheet height than barley grains, however, there was no difference in α-helix to β-sheet ratio values among the varieties. In conclusion, CDC Nasser and CDC Meredith had no difference in protein molecular structural features, while CDC Seabiscuit contains different protein structural characteristics as compared to CDC Meredith grain. The molecular structure features are highly associated with physiochemical and nutrient profiles in grains, which indicate that it also affect nutrient utilization and availability.     

Identification of an H1N1 subtype of swine influenza virus and serological analysis

To investigate the epizootic of swine influenza virus(SIV), 60 nasal swabs were collected from a clinical cases of pig farm in Tai'an City, Shandong Province of China in April 2017. SIV was isolated by inoculating into 10-day-old Special Pathogen Free embryonated eggs and the whole genome was sequenced. An H1N1 subtype SIV was isolated and designated as A/swine/Shandong/TA04/2017(H1N1). Phylogenetic analysis showed that apart from the polymerase A(PA) fragment belonging to the 2009 pandemic H1N1 branch, seven genome segments belonged to avian-like H1N1 influenza virus lineage. The cleavage site sequence of the hemagglutinin(HA) protein was PSIQSR↓G, which is a typical molecular biological characteristic. Five potential N-glycosylation sites(N14, N26, N277, N484 and N543) were found in the HA gene. To further investigate the epidemiology of SIV in this farm, the 995 serum samples were assessed with EAH1N1 2009 pandemic H1N1 and H3 N2 antigens. The results showed that the total positive rate was 65.43%. The positive rates of single virus infection detected by EAH1N1, 2009 pdmH1N1 and H3 N2 for serum HI(Hemagglutination inhibition) were 48.35, 30.85 and 7.47%, respectively. The results showed that SIV in Shandong Province has been reassorted in some segments and the SIV-positive rate was high on the SIV outbreak farm. These data provide evidence of an epizootic of SIV.     

小叶杨基因资源异地保存及苗期生物学特性分析

分别从东北、西北和华北收集小叶杨各类资源。并建立了异地保存基因库。同时，对小叶杨资源苗期的生长、物候期、形态特征以及同工酶谱进行了观测和分析。     

新疆农田土壤有机质含量及组成特征

目前新疆农田土壤有机质含量在5．30～24．21g／kg之间，平均14．65g／kg，与第二次土壤普查相比，新疆农田土壤有机质含量呈上升趋势；胡敏素碳含量占到有机质碳量的53％～70％，平均61％，腐殖酸碳量只占39％。     

二丁酰环腺苷酸对猪胴体组成和肉品质的影响

通过皮下注射和饲料添加不同剂量dbcAMP进行饲养试验 ,研究其对肥育猪胴体组成和肉品质的影响。结果表明 :皮下注射 1.0mg/kg和饲料添加 2 0mg/kg对改善肥育猪的胴体组成和肉品质效果最好 ,眼肌面积分别提高31.99%和 36 .39% (P <0 .0 5 ) ;瘦肉率分别提高 12 .4 2 %和 11.94 % (P <0 .0 5 ) ;背膘厚分别降低 19.95 %和 2 0 .97%(P <0 .0 5 )。肌肉粗蛋白含量分别提高 10 .87%和 16 .5 4 % (P <0 .0 5 )。     

封闭型植物工厂发展现状与展望

经过多年探索和发展,封闭型植物工厂无论在材料、装置和技术都取得了快速进步,生产产量成数倍增长。在介绍发展封闭型植物工厂必要性的基础上,着重分析了封闭型植物工厂的发展现状、设施分类、栽培形式选择、栽培技术选择,最后指出了存在的问题,并对未来的封闭型植物工厂外部设施及其栽培技术进行了展望。     

基于GF-6卫星影像多特征优选的酿酒葡萄精准识别

多源遥感信息和特征优选是提高农作物识别精度的重要支撑，高分六号（GF-6）卫星作为首次引入红边波段的国产卫星，其丰富的光谱信息为作物识别提供了新的思路和解决途径。该研究基于宁夏回族自治区银川市永宁县2018年6月-2019年3月的GF-6数据，充分利用红边优势提取光谱特征、纹理特征和植被指数特征，构建多种特征组合方案，并根据随机森林算法对特征重要性进行度量，选取最优特征组合对酿酒葡萄进行精准识别。结果表明，与单一特征相比，多源遥感特征的增加显著改善了酿酒葡萄分类效果，其中，植被指数贡献程度最大，光谱特征次之；基于随机森林的优选特征组合分类效果最佳，其中，总体分类精度为94.15%，酿酒葡萄用户精度为94.23%，制图精度为92.59%；以实地调查的4个酒庄为验证区，将酿酒葡萄提取结果与统计数据进行对比，面积相对精度均在70%以上，其中优选特征结果相对精度在90%以上，研究结果将为国产卫星红边波段在植被分类和识别方面的应用提供数据参考。     

甜玉米‘闽甜208’的生育特性与群体结构分析

多年生育特性观测表明,‘闽甜208’甜玉米春播采青生育期86-90d,秋播采青生育期73-76d,生育动态呈现苗期弱,中间旺长稳定期短,后期早衰快的生育特性,栽培上要注重精细播种,各项田间管理要及时到位。群体结构试验表明,‘闽甜208’叶面积系数（LAI）及叶片净同率（NAR）较高,峰值持续时间较长,大喇叭口至抽雄期LAI对NAR影响最大,通过密植保证一定的总粒数,增加抽雄后群体叶面积及干物质积累,提高成粒率,是高产的关键措施,适宜种植密度为4.95万-5.40万株·hm-2。     

基于特征金字塔注意力与深度卷积网络的多目标生猪检测

在生猪饲养环境中,猪只黏连、杂物遮挡等给生猪个体多目标检测带来很大困难。该研究以猪圈群养生猪为研究对象,以视频帧为数据源,提出一种适用于生猪形体检测的特征金字塔注意力(FeaturePyramidAttention,FPA)与Tiny-YOLO相结合的模型FPA-Tiny-YOLO。该模型将注意力信息融入到特征提取过程,在不大幅增加计算量的前提下即可提升特征提取能力、提高检测精度。对8栏日龄20～105 d的45头生猪视频截取图像进行图像处理,获得标注图片4 102张,构建了4种深度FPA模块分别加入YOLOV3与Tiny-YOLO模型中。试验表明,深度为3的FPA模块(即FPA-3)的Tiny-YOLO模型在测试集上对群养生猪多目标检测的召回率Recall、F1与平均检测精度m AP指标值最佳,分别达到86.09%、91.47%和85.85%,比未引入FPA模块的Tiny-YOLO模型均有不同程度的提高。选用不同的IOU(Intersection Over Union)和score阈值超参数值对模型预测结果均有不同程度影响;将测试集图像按照是否黏连与遮挡划分4种场景来探究该模型的鲁棒性。试验表明,加入FPA-3模块后Tiny-YOLO的Recall、F1与m AP比Tiny-YOLO分别提升6.73、4.34和7.33个百分点,说明特征金字塔注意力信息有利于精确、有效地对不同场景群养生猪进行多目标检测。研究结果可为后续开展生猪身份识别和行为分析移动端应用提供参考。