甘蓝型油菜对华北坝上冷凉环境的适应性

针对华北坝上冷凉区短季类经济作物缺乏,芥菜型油菜品质差、产量低等问题,于2017-2018年在农业农村部张北农业资源与生态环境重点野外观测试验站,引种了甘蓝型双低油菜品种华油杂62,以当地传统芥菜型油菜品种大黄为对照,监测了两品种的叶面积指数、角果净光合速率日变化、地上部干物质积累量、养分积累量和油菜农艺性状、产量等。结果表明,华油杂62较大黄生育期长约10d,平均叶面积指数高23.36%~36.73%;角果净光合速率不及大黄,N、P、K积累量高于大黄;干物质快速增长期延长21d,干物质积累潜值高46.86%;菜子产量较大黄高22.8%~54.0%。甘蓝型油菜华油杂62对华北坝上冷凉区的地理气候环境有较好的生态适应性,具有替代区域传统芥菜型油菜的优势。     

年际气象差异对西南丘陵区玉米物质积累与产量的影响

基于2011-2016年大田试验和气象数据资料,研究了年际气象差异对西南丘陵区玉米物质积累与产量的影响,以期为西南丘陵区玉米生产的高产稳产提供理论支持。结果表明：西南丘陵地区雨热资源丰富,但气象因素存在明显的年际波动,降水量波动最大,积温波动最小,且玉米各生育阶段降水、积温和光照配置也有所不同。积温是该区玉米生育前期形态建成的主要限制因子,花前积温、花后日照和降水共同调控玉米的干物质积累与转运,而后期产量形成是各气象因子综合作用的结果。花后日照直接影响玉米穗部性状（穗长、穗粗）和产量构成（穗粒数、千粒重）,从而调控玉米的产量;花后积温和降水则通过影响玉米的穗粒数和千粒重对最终产量产生影响。因此,西南丘陵地区玉米在生产过程中可以通过调整播期,适当提高生育前期积温,促进植株生长发育,提高源器官的形态建成,为花后光合生产奠定良好的基础;减少花后降水量,提高花后日照时数,改善籽粒灌浆,提高籽粒充实度,从而实现高产。     

Phenotypic plasticity of two invasive alien plant species inside a deciduous forest in a strict nature reserve in Italy

ABSTRACT

Invasive alien plant species (IAPs) represent one of the main biological threats to biodiversity worldwide. Information about their phenotypic plasticity are needed to increase awareness about their future invasive potential. A study about phenotypic plasticity in response to contrasting light regimes and its quantification by a plasticity index (PI) of two IAPs (Ailanthus altissima and Robinia pseudoacacia) inside a Strict Nature Reserve was conducted. R. pseudoacacia showed a 70% higher PI, with a strongly greater value at morphological leaf level, associated with a greater ability to survive and grow in forest understory, explaining its greater widespread. Otherwise, A. altissima showed its highest PI at physiological level, which was associated with the ability to colonize and grow in environments with high-light regimes. Based on these results, the conservative management has limited the presence of A. altissima by its lower ability to grow in forest understory. In fact, the small-scale gaps in the forest infrastructure, that could allow its recruitment, are originated only from the death of a single tree or small group of trees. Regarding R. pseudoacacia, it is critical to maintain this type of management because any disturbances resulting in large openings could further promote its presence inside the Reserve.     

苹果种植区的土壤养分含量情况研究—以白水县为例

为了稳定和提高苹果产量，通过对2013 年渭南白水县500 个点农业土壤区进行分析，并对土壤pH、全氮、有机质、碱解氮、速效钾、有效磷、有效铁和有效锰、锌、铜进行有效的对比研究。利用Microsoft Excel 2010 软件进行数据整理统计。结果发现：白水县苹果生长的土壤酸碱度为中性偏碱，并且土壤中的全氮和有机质的含量丰富，速效钾较丰富；有效锌、有效磷含量适中；有效铜含量高，有效铁、碱解氮、有效锰含量低。     

丘陵山区果园机械化技术与装备研究进展

中国果园种植面积大，主要集中在丘陵山区，受地形条件和种植模式影响，丘陵果园机械化程度普遍偏低，随着产业结构的调整，果园机械化的发展程度将直接影响其经济效益。本文分析了中国果园分布情况与丘陵果园种植特点，概述了丘陵果园的机械化发展程度，并分析了制约其发展的原因，阐述了机械动力底盘、多功能作业平台、果树修剪机械、植保机械以及采摘收获机械等果园主要装备和技术的研究现状和进展，并对部分果园机械的生产与推广应用情况进行调研分析。在此基础上指出丘陵果园机械化发展面临的问题，认为缺乏对复杂环境的适应能力是制约丘陵果园机械化发展的关键，对果园改建和机械装备研究等提出了发展建议。     

高寒丘陵区不同退耕年限人工林形质评价

基于时空互代法研究不同退耕年限对青海东部人工林形质的影响，为高寒丘陵区人工林经营及多功能利用提供理论依据。在青海东部西宁市大通县设置青杨、祁连圆柏、青海云杉和华北落叶松典型人工林试验样地，开展退耕年限10、20 a和30 a样地调查。以生长情况、侧枝情况和土壤养分情况作为退耕还林林木形质评价指标，运用层次分析法构建林木形质的评价体系，对4种人工林林木形质进行综合评价。干形情况对林木形质的影响最大，贡献率占0.603；生长情况对其影响次之，贡献率占0.337；侧枝情况对其影响较小，贡献率仅占0.060；16个评价指标在林木形质评价中的权重大小依次为健康情况(0.674 9)＞自然整枝能力(0.598 8)＞土壤有机质(0.578 7)＞通直度(0.526 5)＞分杈情况(0.348 0)＞土壤K(0.232 5)＞侧枝平均基径(0.202 7)＞胸径年均生长量(0.176 9)＞枝粗指数(0.150 6)＞土壤N(0.139 2)＞树高平均生长量(0.107 6)＞高径比(0.071 5)＞尖削度(0.054 0)＞土壤P(0.049 6)＞侧枝数(0.047 9)＞冠径比(0.040 7)；综合评价得分依次为青杨(81.67)>华北落叶松(80)>青海云杉(75)>祁连圆柏(60)。森林生态系统通过自我调节,其发育呈正向演替。高寒丘陵区人工林形质随退耕恢复年限增加呈先增加后减少趋势。前期造林(10 a)可迅速提高林地盖度；发育至20 a时，林地林木形质最优；退耕30 a，林下光照减少，下层出现竞争缺光,影响林地涵养水分功能发挥，影响林木形质。以层次分析法建立的林木形质评价体系可为高寒丘陵区人工林经营及多功能利用提供依据，为其他树种形质评价提供借鉴。     

北京龙耘种业有限公司

中单28是中国农科院作物所选育的高产、多抗、优质、中晚熟普通玉米单交种，其组合为中1128x中5493。2005年4月经北京市农作物品种审定，审定编号为：京审玉2005001。2007年3月经山西省农作物品种审定，审定编号为：晋引玉2007008。     

炭化条件对竹原纤维炭孔隙结构的影响分析

为研究炭化竹原纤维的特性,进一步提升竹原纤维的使用性能,拓宽竹原纤维的应用领域,采用可控电炉制备了不同炭化温度和不同保温时间条件下的炭化竹原纤维,利用全自动比表面积及孔隙度分析仪测试了炭化竹原纤维的比表面积、比孔容及平均孔径,探讨了炭化条件对其性能的影响。结果表明：随炭化温度的升高和保温时间的延长,炭化竹原纤维的比表面积、比孔容和孔径分布先增大后减小,在较优的工艺条件下,炭化竹原纤维的比表面积和比孔容最大值分别可达819.35m2/g和0.7358cm3/g,平均孔径最小可达2.0836nm。     

论生态景观吸引力空间异化模型的应用——以江苏环太湖国际旅游区规划为例

以江苏环太湖国际旅游区规划为实验对象,重点探讨生态景观吸引力空间异化过程,即从要素磁场分化开始,经由同质景观间的引力异化,导致同类景观片区间的引力空间异化,最终推导出另一种"同质相斥、异质相吸"的新型生态景观吸引力空间结构。     

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.