Advances and Perspectives in the Biological Control of Greenhouse Pests with Special Reference to Colombia

This paper analyses the state of the art of biological control of greenhouse pests with special reference to Colombia, one of the world's largest producers of cut flowers. After a discussion of the use and impacts of selected natural enemies on a variety of arthropod pests in greenhouses, suggestions on how to enhance the effectiveness of inundative release strategies further to achieve successful biological control of key pests are provided.     

Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate

Free-drainage or “open” substrate system used for vegetable production in greenhouses is associated with appreciable NO₃⁻ leaching losses and drainage volumes. Simulation models of crop N uptake, N leaching, water use and drainage of crops in these systems will be useful for crop and water resource management, and environmental assessment. This work (i) modified the TOMGRO model to simulate N uptake for tomato grown in greenhouses in SE Spain, (ii) modified the PrHo model to simulate transpiration of tomato grown in substrate and (iii) developed an aggregated model combining TOMGRO and PrHo to calculate N uptake concentrations and drainage NO₃⁻ concentration. The component models simulate NO₃⁻-N leached by subtracting simulated N uptake from measured applied N, and drainage by subtracting simulated transpiration from measured irrigation. Three tomato crops grown sequentially in free-draining rock wool in a plastic greenhouse were used for calibration and validation. Measured daily transpiration was determined by the water balance method from daily measurements of irrigation and drainage. Measured N uptake was determined by N balance, using data of volumes and of concentrations of NO₃⁻ and NH₄⁺ in applied nutrient solution and drainage. Accuracy of the two modified component models and aggregated model was assessed by comparing simulated to measured values using linear regression analysis, comparison of slope and intercept values of regression equations, and root mean squared error (RMSE) values. For the three crops, the modified TOMGRO provided accurate simulations of cumulative crop N uptake, (RMSE = 6.4, 1.9 and 2.6% of total N uptake) and NO₃⁻-N leached (RMSE = 11.0, 10.3, and 6.1% of total NO₃⁻-N leached). The modified PrHo provided accurate simulation of cumulative transpiration (RMSE = 4.3, 1.7 and 2.4% of total transpiration) and cumulative drainage (RMSE = 13.8, 6.9, 7.4% of total drainage). For the four cumulative parameters, slopes and intercepts of the linear regressions were mostly not statistically significant (P < 0.05) from one and zero, respectively, and coefficient of determination (r²) values were 0.96-0.98. Simulated values of total drainage volumes for the three crops were +21, +1 and −13% of measured total drainage volumes. The aggregated TOMGRO-PrHo model generally provided accurate simulation of crop N uptake concentration after 30-40 days of transplanting, with an average RMSE of approximately 2 mmol L⁻¹. Simulated values of average NO₃⁻ concentration in drainage, obtained with the aggregated model, were −7, +18 and +31% of measured values.     

不同工艺对牛粪堆沤肥过程气体排放的影响

堆沤肥是中国畜禽粪便处理利用的最主要方式。为探究不同堆沤肥方式对温室气体和氨气排放规律和温室效应，在北京市密云区开展了为期71d的堆沤肥试验，以牛粪和玉米秸秆为原料，分析了静态堆沤 (T1)、堆沤+翻抛 (T2)、堆沤+覆膜 (T3)、翻抛+覆膜 (T4)等4种方式对堆沤肥过程中腐熟度、温室气体和氨气等指标的影响。结果表明，4个处理的种子发芽指数分别达到131.33%、134.49%、108.76%和136.24%，均满足堆肥产品的腐熟度要求（≥70%）。翻抛有利于CO₂、N₂O和NH₃的排放，而覆膜抑制了N₂O的生成，T2处理的增温潜势最高，T3处理的增温潜势最低，较对照组T1处理减排20.14%。因此，T3处理在能够保证堆肥产品的腐熟度要求的前提下，还可有效减少增温潜势。该研究可为中小养殖场户堆沤肥的工艺优化实践提供技术指导。     

不同灌溉方式对日光温室青椒生长及产量的影响

为了确定日光温室内青椒的最适合灌溉技术,在日光温室内分别对青椒进行了滴灌、小管出流和沟灌3种灌溉方式的试验研究,分析了不同灌溉方式对日光温室青椒生长发育的影响。试验结果表明:不同灌溉方式对青椒株高、茎粗均无明显影响;相同阶段所测叶绿素含量,滴灌>小管出流>沟灌,且叶片叶绿素的含量和光合速率呈正相关;用显著性水平α=0.1对各处理产量进行方差分析表明,不同处理对产量有显著影响,青椒产量以滴灌最高,小管出流次之,沟灌最低;通过不同处理比较发现,沟灌、滴灌、小管出流水分生产率分别为16.17、35.13、31.59 kg/m3。故日光温室栽培青椒比较适合采用滴灌方式。     

小管出流灌溉技术在日光温室中的应用效果研究

温室内采用的供试作物为青椒,在土壤水分相同的条件下(土壤含水率下限为60%~70%,以占田间持水率的百分比计)通过试验对比分析了日光温室小管出流和沟灌2种灌溉方式对土壤温度、土壤水分、青椒叶绿素含量及长势、产量的影响。研究结果表明,在土层深度为5、15、25、35 cm时,小管出流的土壤温度较沟灌依次高0.24、0.23、0.17、0.30℃。在灌水前后的土壤水分空间分布及含水率均大于沟灌,小管出流灌溉方式下青椒的叶绿素含量较沟灌高6.8%,产量较沟灌增产34%,水分生产率比沟灌提高了0.9倍。     

连栋棚室环境因子集中监测系统的研究

针对目前棚室环境监控系统实时性和可靠性差,价格昂贵以及操作复杂等缺陷,开发了基于CAN总线的连栋棚室环境因子集中监测系统.系统采用单片机控制、总线挂接式结构,通过CAN总线实现监测单元与显示控制单元之间的通信.经实际应用验证,该系统能实现多栋棚室环境因子的集中在线监测,监测准确,完全满足设施农业的生产要求,此外系统结构简单、操作灵活,成本低廉,具有很好的实用推广价值.     

温室环境控制系统的MPT智能算法

针对温室环境的大滞后、多输入、多输出、非线性和难以建立数学模型等特点,对传统的PID算法进行改进,并加入自适应控制、模糊控制和专家自整定等智能控制功能,建立了MPT智能控制算法.在论域内用不同控制方式分段控制,当偏差大于某一域值时,根据操态选择模糊控制,不存在抗饱和积分问题,使用模糊控制规则确定输出;当偏差减小到域值以下时,切换转入MPT算法控制,减小响应过程中的超调,并最终消除余差.该算法具有无超调、控制精度高和鲁棒性强等特点..     

玉米秸秆反季栽培双孢蘑菇技术

以玉米秸秆为原料,利用北方日光温室进行反季栽培双孢蘑菇技术试验。试验结果表明,采用夏季发酵培养料、秋季播种、秋冬季节出菇的反季栽培双孢蘑菇技术模式,与北方气候条件基本吻合,再利用日光温室进行出菇,可减少能源消耗。在日光温室条件下用玉米秸秆作主料栽培双孢蘑菇,每平方米产双孢蘑菇10～15kg,可提高菇农的种植效益。栽培后产生的废料还可肥田和改良土壤理化性状,使生物转化率达40%以上。     

北海市瓜菜大棚设施栽培现状与发展对策

从规模、新技术应用、栽培模式、效益等方面阐述了北海市瓜幕大棚设施栽培的现状,同时分析了存在的问题,并针对现状和存在的问题提出了政策扶持、创建品牌、强化培训、加大投入和加强产品质量检测等发展对策,旨在促进大棚设施栽培产业的健康可持续发展.     

温室膜下滴灌甜瓜初花期叶面积动态变化与增长模型研究

以日光温室膜下滴灌甜瓜为试验材料,研究了甜瓜叶片叶面积动态变化规律以及不同水分处理对甜瓜叶面积大小分布范围的影响.结果表明:①不同水分处理对甜瓜叶片扩展和叶面积大小产生了显著影响,以2 d为灌溉周期,蒸发皿系数(Kcp)采用0.6有利于甜瓜叶片扩展,而且平均叶片叶面积最大;②甜瓜叶片叶面积扩展动态变化符合指数多项式增长模型,该模型拟合结果与实测值较为吻合,且相关系数较高,符合日光温室膜下滴灌甜瓜叶片叶面积动态变化规律.