橡胶树产胶生物学研究进展

天然橡胶（顺式-1,4-聚异戊二烯）是一种重要的工业原料,主要来自橡胶树。以天然橡胶的生物合成与产量形成为主要内容的产胶生物学研究为橡胶树高产遗传改良提供理论指导,近10年取得了重要进展。本文从橡胶树基因组测序、橡胶转移酶、转基因、以及转录组和蛋白质组等4个方面介绍产胶生物学研究主要进展,并讨论了相关领域研究存在的问题,对未来5~10年需重点关注的研究内容提出了建议。在介绍橡胶转移酶时,同时概述其他几种产胶植物的相关研究进展。     

茶园间作芳香植物罗勒和紫苏对茶园生态系统影响的研究

通过茶园间作芳香植物研究其对茶园害虫和天敌种群数量、土壤养分状况、茶树生长及茶叶生化成分等的影响,分析间作芳香植物对幼龄茶园的生态综合调控效果。幼龄茶园间种芳香植物能减少小贯小绿叶蝉和绿盲蝽的数量,增加茶园中瓢虫、草蛉、寄生蜂和蜘蛛等天敌的数量;芳香植物间作区土壤中铵态氮、有效磷和速效钾的含量高于绿肥间作区和对照;茶园间作芳香植物能在一定程度上促进茶树生长、培养幼龄茶园的树势和树冠、增加茶叶产量。茶园间作芳香植物能减少茶叶中茶多酚和咖啡碱含量,提高可溶性糖和儿茶素含量,改善茶叶品质。可见茶园间作芳香植物是一种具有较好生态效益的茶园栽培管理模式,能促进生态茶园的发展。     

合肥市高校城市森林树冠覆盖分析

以合肥市二环内、大学城和职教城3个典型区域的15所建设于不同年代的高校为研究对象,应用Arc GIS判读2018年卫星遥感影像,统计分析高校林木树冠覆盖特征。结果表明:①15所高校现实树冠覆盖面积283.25 hm~2,整体树冠覆盖率29.67%;各高校现实树冠覆盖率在11.90%～43.89%间变化,潜在树冠覆盖率在1.73%～30.00%间变化。②超过2/3的高校树冠覆盖率处在高覆盖度或极高覆盖度。③早期建设的高校现实树冠覆盖率整体上高于后期建设的,二环内高校(38.69%)最高;而在树冠覆盖潜力增长方面正好相反,职教城高校潜在树冠覆盖率(19.02%)最高。进一步分析发现,合肥市高校城市森林未来整体树冠覆盖率可提高至40.14%,不同年代区域高校树冠覆盖差异主要受时间跨度对树木的影响和高校绿化建设思路的影响。     

黔南州核桃优树叶片营养元素和果实品质相关分析

为了分析叶片营养元素对黔南州核桃优树坚果品质的影响,通过方差分析和相关分析研究了叶片营养元素与坚果品质之间的相关关系。结果表明:不同品种的核桃优树单株的坚果品质指标间存在显著差异;叶片钙、铜和锰显著影响核桃坚果品质。可以通过核桃叶片营养元素的诊断来提高坚果品质。     

农产品监测预警模型集群构建理论方法与应用

【目的】农产品供给与需求的准确分析测定,是农业监测预警能力提升的重要表现。构建产品多品种多环节模型集群理论方法,可高效解决单一环节或单一模型难以解决的分析技术难题。【方法】在农产品供需的重要要素即生产量、消费量、贸易量、价格等分析预测过程中,针对农产品品种间关联性强,自然、社会、经济诸多影响因素纠缠,模型多变量强耦合、非线性、参数时变的特点,提出多品种农产品“因素分类解耦、参数转用适配”方法,以构建多时空维度的监测预警模型集群。【结果】利用“因素分类解耦、参数转用适配”技术方法,研究构建了不同农产品的生产类、消费类、贸易类、价格类的模型集群。这些模型集群可用于对不同时空维度的水稻、玉米、小麦、肉类等主要农产品供需的长中短期的分析预测,支撑形成了农业展望中的主要农产品平衡表,其中主要农产品全国年度生产量6年平均预测精度高于97%。【结论】研究提出的农产品监测预警模型集群构建理论及其方法,有效提升了农产品多品种模型集群的求解效率和准确率,增强了农产品供需分析预测的系统性与智能性,为系统揭示农产品复杂的时空供需变化特征、促进农产品市场调控科学性和可预见性,提供了新技术方法。     

Alpha-shape算法构建枣树点云三维模型

为了实现枣树智能化修剪作业，该研究提出了基于点云配准的自然光照环境下的果树三维重构方法，并针对传统最近点迭代（Iterative Closest Point，ICP）算法对待配准点云的空间位置要求苛刻的问题，提出了改进的点云配准算法。首先，使用彩色深度（RGB-D）相机采集不同角度下的枣树彩色和深度图像，并通过信息融合实现相应角度下的点云获取。其次，对点云进行背景去除和滤波处理，基于直方图设定分割阈值，提取单株枣树点云，并将放置在树根附近的标靶球作为标记，使用人工标记法进行两站点云初配准。最后，在初配准基础上计算点云的曲面法向量和曲率，由曲率相近的点构成配对点对，使用k维树最近点迭代（k dimensional-tree-Iterative Closest Point，kd-tree-ICP）算法完成精配准，对点云使用Alpha-shape算法面片化，实现表面重构。利用上述方法对多棵枣树进行全局配准并完整重构果树模型。试验结果表明，通过引入初配准，有效提高了点云配准的准确性和稳定性，配准误差均控制在1.0 cm以内，平均配准误差为0.78 cm；重构模型真实感较强，在外观上更加接近真实树，枝干相对误差控制在7%以内。该研究重构模型精度较高，可为枣树智能修剪提供可视化研究基础和技术支持。     

Effect of cultivation time on soil heavy metal accumulation and bioavailability in Phyllostachys praecox stands

Phyllostachys praecox is a bamboo species cultivated for edible shoots under intensive management. However, the potential pollution risk of heavy metals in bamboo soils is not clear under the intensive management for a long term. The objective of this study was to evaluate the effect of cultivation time on soil heavy metal accumulation and bioavailability in bamboo stands subjected to intensive management. Soil samples were collected from a chronosequence of bamboo stands which had been cultivated for 0, 1, 2, 4, 8, and 10 years in Lin''an, Zhejiang Province of China. Eight heavy metals (Cu, Zn, Pb, Ni, Cr, Cd, As, and Hg) present in the soil were selected, and their potential pollution risk was evaluated by chemical speciation analysis. Possible heavy metal sources were explored using multivariate and cluster analysis. Our results showed that Zn, Cu, Hg, and Cd contents in the soil increased with the cultivation time, while Ni, Cr, Pb, and As levels were similar among all stands. Furthermore, the bioavailabilities of all analyzed heavy metals increased with the cultivation time. Multivariate and cluster analysis showed that sources of Ni, Cr, Pb, and As were likely lithogenic in origin, whereas input of Zn, Cu, Hg, and Cd was mainly due to cultivation practices. Current bamboo management strategies raised the potential risks of heavy metal pollution in bamboo shoots in the long term. Soil acidification in P. praecox stands induced by intensive cultivation should be controlled since it stimulated and improved the bioavailability of heavy metals. Appropriate management strategies should thus be adopted to ensure safe and sustainable production of bamboo shoots.     

林木氮素吸收偏好性及其形成机制研究进展

森林土壤中可被林木吸收利用的氮（N）素主要以铵态氮（NH₄+-N）和硝态氮（NO₃--N）的形态存在。受全球气候变暖、氮沉降和人类活动等因素的影响，NH₄+和NO₃-的分布存在很大的时间波动性和空间异质性，且NH₄+-N和NO₃--N亏缺已成为限制林地生产力的主要因素。在森林土壤N亏缺和N异质分布的逆境中，在林木长期进化过程中形成了对不同形态N素的吸收偏好，且这种吸收偏好会随生长环境条件而发生改变。特别是对于NH₄+和NO₃-这2种主要形态的偏好选择性已被证明是决定林木生产力、竞争、共存和生态演替的重要因素之一。对不同树种在N异质分布环境下的N吸收偏好和形成机制的研究，是揭示林木N素营养遗传特性和提高林地N素利用效率的关键。文中从森林土壤中N的主要形态及其分布特征、林木对不同形态N素的吸收偏好和形成机制、林木N吸收偏好的影响因素3个方面进行总结阐述，并对未来研究方向进行展望，以期为我国人工林培育中不同树种的造林配置和合理N素施肥技术提供理论依据和参考。     

Specific ion effect of H+ on variably charged soil colloid aggregation

Specific ion effects (Hofmeister effects) have recently attracted the attention of soil scientists, and it has been found that ionic non-classic polarization plays an important role in the specific ion effect in soil. However, this explanation cannot be applied to H⁺. The aim of this work was to characterize the specific ion effect of H⁺ on variably charged soil (yellow soil) colloid aggregation. The total average aggregation (TAA) rate, critical coagulation concentration (CCC), activation energy, and zeta potential were used to characterize and compare the specific ion effects of H⁺, K⁺, and Na⁺. Results showed that strong specific ion effects of H⁺, K⁺, and Na⁺ existed in variably charged soil colloid aggregation. The TAA rate, CCC, and activation energy were sensitive to H⁺, and the addition of a small amount of H⁺ changed the TAA rate, CCC, and activation energy markedly. The zeta potential results indicated that the specific ion effects of H⁺, K⁺, and Na⁺ on soil colloid aggregation were caused by the specific ion effects of H⁺, K⁺, and Na⁺ on the soil electric field strength. In addition, the origin of the specific ion effect for H⁺ was its chemical adsorption onto surfaces, while those for alkali cations were non-classic polarization. This study indicated that H⁺, which occurs naturally in variably charged soils, will dominate variably charged soil colloid aggregation.