大粒板栗新品种‘秦栗2号’

（西北农林科技大学林学院，陕西杨凌 712100）     

番茄斑萎病毒病抗性种质筛选及人工接种鉴定方法优化

对154份番茄材料(包括普通番茄76份,樱桃番茄78份)进行两年两次田间番茄斑萎病毒病的病情指数调查,筛选出14份对番茄斑萎病毒病具有稳定抗性的番茄材料,利用sw-5-2共显性SCAR标记对田间表现抗病的材料进行分子标记鉴定,发现3份抗病材料携带抗番茄斑萎病毒病的Sw-5基因。为缩短番茄斑萎病毒病人工接种鉴定周期,以含有sw-5的抗病材料H8和感病材料M82为研究对象,设置4、6、8、10片真叶4个接种时期,分别在接种后14、21、28 d进行病情指数调查和抗性分级,结果表明,6片真叶期接种,接种后28 d进行病情调查即可有效鉴别植株番茄斑萎病毒病抗性,与8、10片真叶期接种效果相同,人工接种抗病性鉴定效率显著提升。     

不同花色牡丹品种花瓣色素含量及成分分析

以分属白、粉、红3个色系的6个牡丹品种花瓣为试材,采用薄层层析色谱法(TLC)、紫外-可见分光光度计(UV)和高效液相色谱仪-二极管阵列检测器(HPLC-DAD)研究不同花色牡丹品种花瓣中的色素含量,并进行了定性分析。结果表明:粉色和红色系牡丹中检测出2种花青苷,分别是矢车菊素-3,5-二葡糖苷和芍药花素-3,5-二葡糖苷,白色系牡丹中未检测到花青苷类物质,其中矢车菊素-3,5-二葡糖苷在粉色系牡丹中含量较高,而红色系中总黄酮和总花青苷的含量最高。     

基于农户视角的城郊区葡萄种植效益分析

基于陕西省西安市鄠邑区葡萄种植户的调查数据,在构建农户层面效益评价指标体系的基础上,评价了农户种植葡萄的效益状况。结果表明:第一,农户葡萄种植效益整体位于中等偏下的水平;第二,高效益农户与低效益农户在经济效益、生态效益以及就业机会上存在显著差异,而在对子女和老人的照顾上差异不大;第三,经验丰富、种植规模较大的纯农业型农户的效益较高。节水灌溉技术有助于提高农户的经济效益,而购买化肥的渠道、接受技术培训和有购买过假化肥经历对农户种植经济林的生态效益有影响。     

木塑与钢材复合温室骨架设计及力学性能试验

木塑复合材料是近几年发展较快的一种新型材料,具有易加工、密度高、硬度强的特点。为探究木塑在温室建筑上的应用,设计了一种适合温室使用的木塑与钢材复合骨架,并进行力学性能试验。该试验以木塑和钢材为试材,采用拉伸、压缩、人工气候老化及复合骨架应用于温室的方法,研究了其抗拉、抗压强度及其在温室中应用情况,以期能够开发一种在性能和价格上与钢骨架结构材料相媲美的新材料。结果表明:在低温、室温和高温条件下,木塑的抗拉强度分别为28.391、24.954、15.000 MPa,木塑的抗压强度分别为63.633、42.438、32.547 MPa,木塑的抗拉强度和抗压强度均与环境温度呈负相关关系。木塑在经过250 h的人工气候老化后的抗弯强度为37.040 MPa,比未进行老化处理下降了22.083%。将木塑与钢材结合制作成不同形式的复合骨架,与普通木塑骨架对比,在室温下测试发现复合骨架比普通木塑骨架抗弯性能显著提高,其延展性提高约3倍,其中钢材添加在下缘的复合骨架的抗弯性能显著较钢材在上缘的复合骨架优越;带卡簧卡槽复合骨架的最大抗弯屈服力为19.112 kN,较钢材在下缘的复合骨架提高88.74%,达到了温室骨架的承载力要求。通过供试带卡簧卡槽复合骨架温室的荷载试验得出,跨度8.0 m、顶高3.3 m的拱形屋面温室,其骨架间距为1.2 m时,供试温室承受荷载为0.436 kN·m^-2;当骨架间距为1.0 m时,其承受荷载为0.527 kN·m^-2。与传统钢骨架温室对比,复合骨架温室的建筑成本减少了10.4元·m^-2。该复合骨架可以同时发挥木塑的环保、价廉、可塑性优势和钢材的优良力学性能,为温室建筑的轻简化、装配化提供了有益参考。     

辣椒新品种‘秦椒1号’

‘秦椒1号’辣椒是以自交系‘R9816-2-1-3’为母本,‘Z97-2-7-42’为父本杂交育成的一代杂种。果实长灯笼形,表面微皱,果长17.1 cm,果肩宽4.7 cm,果肉厚3.1 mm,单果质量73.5 g,商品性好,品质佳,平均产量45 062.6 kg·hm~(-2)。高抗病毒病、青枯病和疫病。     

关中地区规模化奶山羊养殖场机器挤奶现状及建议

对陕西省关中地区31个不同规模的奶山羊养殖场使用机器挤奶的相关数据及资料进行分析。结果表明,不同奶山羊养殖场规模、挤奶设备、挤奶时间、质检方式和羊奶售价等方面均存在差异;机器挤奶流程、挤奶次数和环境卫生等影响到奶山羊乳房健康和羊奶品质。应加强对养殖场挤奶机器的管理,规范机器挤奶技术流程,提高奶山羊养殖场生产效益。     

基于注意力机制及多尺度特征融合的番茄叶片缺素图像分类方法

针对番茄早期缺素性状不明显及各生长期特征差异较大所导致的特征区域尺寸不一致、难提取、难辩别等问题，提出了一种基于注意力机制及多尺度特征融合卷积神经网络的番茄叶片缺素图像分类方法（Multi-Scale Feature Fusion Convolutional Neural Networks Based On Atte ntion Mechanism，MSFF-AM-CNNs）。首先根据番茄叶片缺素特点提出了多尺度特征融合结构（Multi-Scale Feature Fusion Module，MSFF Module）；其次在DenseNet基础上，结合浅层网络主要提取纹理、细节特征，深层网络主要提取轮廓、形状特征的特点分别提出具有针对性的特征提取方法，通过不同形式引入注意力机制及多尺度特征融合结构，使全局多尺度信息融合多个特征通道、选择性地强调信息特征并达到对特征精准定位的功能；同时引入Focal Loss函数以减少易分类样本的权重。试验结果表明，MSFF-AM-CNNs的平均召回率、平均F1得分、平均准确率较原模型DenseNet-121均大幅提升，其中缺氮和缺钾叶片的准确率分别提高了8.06和6.14个百分点，召回率分别提高了6.31和5.00个百分点，F1得分分别提高了7.25和5.55个百分点，平均识别准确率可达95.92%，具有较高的识别准确率及广泛的适用性，能够满足番茄叶片缺素图像的高精度分类需求，可为植物叶片缺素识别提供参考。     

Effect of Key Priority Forestry Programs on off-farm employment: Evidence from Chinese rural households

This paper examines how 3 Key Priority Forestry Programs (the KPFPs) influenced rural off-farm employment time using a long-term panel dataset that spans 18 years (1995–2012) and includes 6 provinces in China. The programs included the most significant forest policies, including the Sloping Land Conversion Program (SLCP), Desertification Combating Program around Beijing and Tianjin (DCBT), and Natural Forest Protection Program (NFPP). A labor supply model with both fixed and cluster effects were used to identify the programs' disparate impacts in the different regions and on various policy stages. We found the following results: (i) the overall effect of the SLCP was pronounced in relation to the off-farm participation time, but it weakened gradually after the first policy stage; (ii) the DCBT had less impact than the SLCP in increasing the work time of farmers who already had off-farm jobs, but it was better than the SLCP during the various subsidy policy stages; (iii) the NFPP's total effect was insignificant; (iv) forestry subsidies tended to be decoupled for farmers in China, since the substitution effect was greater than the income effect and increased the supply of non-agricultural labor hours. The researches and policy implications of our work are also discussed here.     

Polymerisation of gluten proteins in developing wheat grain as affected by desiccation

The breadmaking quality of wheat is affected by the composition of gluten proteins and the polymerisation of subunits that are synthesised and accumulated in developing wheat grain. The biological mechanisms and time course of these events during grain development are documented, but not widely confirmed. Therefore, the aim of this study was to monitor the accumulation of gluten protein subunits and the size distribution of protein aggregates during grain development. The effect of desiccation on the polymerisation of gluten proteins and the functional properties of gluten were also studied. The results showed that the size of glutenin polymers remained consistently low until yellow ripeness (YR), while it increased during grain desiccation after YR. Hence, this polymerisation process was presumed to be initiated by desiccation. A similar polymerisation event was also observed when premature grains were dried artificially. The composition of gluten proteins, the ratios of glutenin to gliadin and high molecular weight-glutenin subunits to low molecular weight-glutenin subunits, in premature grain after artificial desiccation showed close association with the size of glutenin polymers in artificially dried grain. Functional properties of gluten in these samples were also associated with polymer size after artificial desiccation.