青海省农业农村现代化发展水平研究

实现农业农村现代化是乡村振兴战略的根本目标,农业农村现代化的快速推进对经济社会可持续发展具有非常重要的意义。以青海省为研究对象,从农业现代化和农村现代化2个层面构建一套包含10项准则、42项具体指标的农业农村现代化评价指标体系,并对2006—2016年青海省农业农村现代化发展水平进行测评,探讨近年来青海省农业农村现代化发展的趋势、短板和不足。结果表明:青海省农业农村现代化发展指数从2006年的0.264到2016年的0.401,年均增长0.014,总体发展水平越来越好;农业农村现代化达标率从2006年的31%到2016年的44%,达标程度为中等。从农业现代化和农村现代化2个层面来看,农业现代化发展水平及达标率要高于农村现代化,但农村现代化发展水平及达标率的增速要高于农业现代化。青海省农业农村现代化的难点是改善农村环境;重点是提高农民收入和完善农业经营体系;每千人拥有的农业科技人员、农林牧渔服务业产值占比、农业投资占农村总投资比重和每万人拥有文化站数4项指标是青海省农业农村现代化的最主要短板。鉴于此,青海省要快速推进农业农村现代化,就必须加快制度创新,改善农村生态环境;加快农业政策转型,强化有效支持力度;加快农业科技创新力度,提升科技驱动能力;优先安排农村公共服务投入,实现城乡协调发展。     

耐低氮糜子品种的筛选及农艺性状的综合评价

【目的】探明耐低氮糜子品种的评价方法,筛选耐低氮糜子基因型材料及鉴定指标,为耐低氮品种的选育和耐低氮生理机制的研究提供理论依据。【方法】采用大田试验,以来自国内外100份糜子品种为材料,在低氮胁迫（0纯氮）和正常施氮（150 kg·hm^-2纯氮）处理下,连续2年进行株高、茎粗、主茎节数、穗长、草重、单株穗重、单株粒重、千粒重、叶面积9个主要农艺性状和氮含量、氮素吸收共11个指标的测定,采用隶属函数法计算各指标耐低氮胁迫指数,通过主成分分析、回归分析与聚类分析评价各糜子品种的综合耐低氮能力。【结果】供试品种在不同氮水平条件下的株高、茎粗、主茎节数、穗长、草重、单株穗重、单株粒重、千粒重、叶面积、氮含量、氮素吸收均存在显著差异;低氮胁迫下,糜子的生长、生物量积累和氮素吸收受到抑制,各性状指标明显下降,变化范围幅度降低,各农艺指标降低幅度排序依次为叶面积>草重>单株粒重>单株穗重>茎粗>主茎节数>穗长>千粒重>株高,不同糜子品种籽粒的氮含量和氮素吸收均降低,降低幅度为氮素吸收>氮含量;低氮胁迫下,不同糜子品种的株高、茎粗、主茎节数、穗长、草重、单株穗重、单株粒重的变异系数大于正常施氮水平各指标的变异系数;不同氮水平下,不同糜子籽粒氮素吸收的变异系数高于氮含量的变异系数,且低氮胁迫的氮素吸收的变异系数高于正常施氮处理。对11个指标的耐低氮胁迫指数进行主成分分析,选择了5个主成分,累积方差贡献率达75.83%;株高、穗长、草重、单株穗重、单株粒重、单株叶面积、氮吸收量的耐低氮胁迫指数与耐低氮综合评价值（D）的相关性均达极显著水平,其中,单株穗重、单株粒重、氮吸收量的相关性较高,其相关系数分别为0.858、0.812和0.812;根据耐低氮综合评价D值,通过聚类分析将100份糜子品种划分为耐低氮型、中间型和不耐低氮型3种类型。【结论】单株穗重、草重、氮吸收量等指标作为糜子耐低氮能力评价的首选指标;榆糜3号、2058、榆黍1号、雁黍7号4个品种耐低氮能力最强。     

基于PSO-BP神经网络的外贸发展状况的评价

以我国对外贸易的实际情况为基础，建立了评价外贸发展状况的一套指标体系.使用主成分分析方法对所有评价指标进行预处理之后，借助粒子群优化算法改进了BP神经网络算法，构建了外贸发展状况的评价模型.评价模型在具体应用中，评价结果较为准确，具有一定的科学性和合理性.     

基于加权Voronoi图的林木竞争指数

以福寿山林场25年生的杉木生态公益林为研究对象,通过分析林木竞争指数与胸径生长因子的相关关系,得出二者为负相关,从而确定加权Voronoi图的权重为胸径倒数(W),借助Arcgis软件里的加权Voronoi图工具,通过加权Voronoi图的方法来确定竞争单元,提出基于加权Voronoi图的W_V_Hegyi竞争指数,最后将W_V_Hegyi竞争指数与Hegyi、V_Hegyi竞争指数进行对比分析,结果表明:1) 3种竞争指数与胸径相关性强弱排序为:W_V_HegyiV_HegyiHegyi;2) 3种竞争指数与胸径服从幂函数关系,曲线拟合度排序为:W_V_HegyiV_HegyiHegyi;3) 样地竞争指数平均值排序均为:V_HegyiW_V_HegyiHegyi。通过以上比较分析证明,W_V_Hegyi竞争指数比Hegyi、V_Hegyi竞争指数能更准确地反映林木间的竞争关系。      

气吸式大豆精密排种器排种性能试验研究

在精密播种机中,精密排种器是其工作的核心部件,工作性能直接制约了播种机播种性能的优劣。为了探究影响气吸式排种器工作性能的主次因素,以大豆气吸式排种器为研究对象进行了台架性能试验测试。试验确定排种盘转速为影响排种器排种性能的主次因素,气室负压为次要因素;排种盘转速为20 r/min,气室负压为5 k Pa时该大豆气吸式排种器排种性能最优,合格指数高达91.13%。该研究结果对排种器结构改进以及性能优化提供了参考依据。     

耕地损毁鉴定指标体系研究

耕地损毁主要包括以下五种类型:耕地地面硬化、耕地地面塌陷、耕地挖损、耕地压占和耕地污染,笔者在分析耕地损毁类型特征基础之上,提出了耕地损毁鉴定体系指标选取的原则:综合性原则、分类指导原则、可操作性原则和耕地破坏程度认定与耕地恢复难易程度认定相当原则,由此得到耕地损毁程度的评价指标,采用层次分析法建立耕地损毁评价指标体系,并提出了完善法律法规,依法治理损毁、分类治理利用,推进耕地复垦、引导科学种田,加强耕地保护、创新防控机制等治理对策。研究结果可为耕地损毁鉴定、复垦方案的编制、复垦措施提供现实指导意义。     

Radiation interception and radiation use efficiency of potato affected by different N fertigation and irrigation regimes

Three years of field experiments were carried out to explore the response of potato dry matter production, accumulated intercepted photosynthetic active radiation (Aipar) and radiation use efficiency (RUE) to five N levels providing 0, 60, 100, 140 and 180 kg N ha⁻¹ and three drip irrigation strategies, which were full, deficit and none irrigation. Results showed that, irrespective of years, dry matter production and Aipar were increased by prolonged N fertigation, even though N fertigation was carried out from middle to late growing season. The highest total and tuber dry matter and accumulated radiation interception in all three years were obtained when potatoes were provided with 180 kg N ha⁻¹. RUE on the other hand was not affected by N regime. Thus, increases in total dry matter production with increasing N levels were essentially caused by higher Aipar. The strongest response to N fertilization occurred when most N was applied early in the growing season and the latest N fertilization should be applied no later than 41–50 days after emergence. Deficit irrigation, which received ca.70% of irrigation applied to full irrigation, did not reduce radiation interception and radiation use efficiency.     

Density responses and spatial distribution of cotton yield and yield components in jujube (Zizyphus jujube)/cotton (Gossypium hirsutum) agroforestry

Trees are the dominant species in agroforestry systems, profoundly affecting the performance of understory crops. Proximity to trees is a key factor in crop performance, but rather little information is available on the spatial distribution of yield and yield components of crop species under the influence of trees in agroforestry systems. Also, little information is available on how crop density may be exploited to optimize the yield in such systems. Here we studied the performance of cotton in jujube/cotton agroforestry. Field experiments were conducted in 2012 and 2013 in Hetian, Xinjiang, China. Cotton was grown at a row distance of 60 cm in three densities, 13.5, 18.0 and 22.5 plants m⁻² in six m wide paths between tree lines in a jujube plantation. Plant density affected both cotton aboveground dry matter and yield significantly. The highest yield was attained at the intermediate density of 18.0 plants m⁻² (20.0 plants m⁻² corresponding in sole cotton), lower than the optimal density in sole cotton (25.0 plants m⁻²). Yield at the lower density was constrained by the low number of bolls per m² as a direct consequence of the low density, whereas at the high plant density yield was constrained by a lower allocation of assimilates to cotton seed and lint, as a consequence of intraspecific and interspecific competitions. There were strong gradients in yield and yield components in relation to the distance from the tree rows. Leaf area and total dry matter of cotton in rows close to the tree lines were reduced, especially in the rows next to the trees. Moreover, biomass allocation to cotton fruits was reduced in these rows. Competitive influences from the trees on cotton performance extended two rows deep in a six-year old jujube stand, and even three rows deep in a seven-year old stand. Shading effects on cotton yield were compensated by increasing plant density as a result of greater boll numbers per unit ground area. Data from this study help guide the design of optimal plant density of cotton in jujube plantations and give insight in the spatial distribution and dynamics of competitive effects in agroforestry systems in general.     

基于企业社会责任的可持续供应链风险评价——以汽车行业为例

现代企业的竞争由企业间品牌竞争转向为供应链之间的竞争，可持续供应链管理中企业承担社会责任，是提高企业竞争优势、顺应社会责任指南标准化趋势的必然要求。可持续供应链中企业社会责任的复杂性、因果关系暧昧性和历史变化性使得社会责任实践存在一些困难。为了对可持续供应链管理中企业的社会责任进行有效治理，我们得在可持续供应链中纳入企业社会责任共同治理标准，对企业社会责任进行风险评价、监督与管理。     

沟槽滤棒压降影响因素的因子分析

[目的]深入研究沟槽滤棒特征参数及组成材料对滤棒压降的影响。[方法]选取常见的8种不同规格的沟槽滤棒及其主要组成材料为分析对象,采用相关性分析与因子分析,开展9个主要特征参数对沟槽滤棒压降的影响程度研究。[结果]试验表明,影响沟槽滤棒压降的特征参数间存在显著或极显著的相关性,相关系数矩阵中特征值大于1.0的前3个成分的累计贡献率达87.502%;由沟槽滤棒压降影响特征参数的旋转因子载荷矩阵得到3个公因子,总结定义后分别是:丝束总质量因子、单丝线密度/纤维素纸物理特性因子、沟槽特征参数因子。[结论]因子分析得出的公因子影响情况与实际沟槽滤棒生产检验过程中出现的情况基本吻合,进一步证实了沟槽滤棒特征参数对滤棒压降影响的准确性。