吐鲁番秋延设施黄瓜病虫害绿色防控技术

为确保吐鲁番生态安全、农产品安全生产和重要农产品的有效供给，对秋延晚设施黄瓜病虫害的绿色防控技术进行探索及总结，主要内容包括农业措施（清洁棚室、高温闷棚、品种选择、合理间作、科学灌溉）、物理措施（防虫网、黄板诱杀）、生物措施（合理利用生物药剂）及化学措施（合理用药），实现了减少化学防治2～8次，667 m2节约成本240元左右，经济、生态、社会效益显著，助力农户节本增收和当地特色农业提质增效。     

基于模型预测控制的农机主从跟随作业控制方法

针对实际环境中由于农业机械（简称农机）作业过程的作业量以及土壤条件的变化等不确定性因素的影响，导致协同作业跟随农机的行驶工况不稳定、跟随协同作业响应慢、控制困难等问题，在综合考虑不确定性以及响应性能的基础上，提出了一种农机跟随分层控制架构，搭建农机田间作业下的纵向跟随动力学模型，并以间距保持、速度跟随、燃油经济性、加速度跟随性能为目标，进行基于模型预测控制（MPC）算法的上层控制器推导，基于前馈以及PI反馈的控制器作为下层控制，以上层控制器获得的控制加速度为目标，进行力矩（电流）跟踪，在保证抗不确定性以及干扰噪声的同时，提高跟随农机的响应能力。通过Matlab/Simulink仿真和田间试验验证，结果表明，该控制方法可以有效解决农机作业的跟随控制问题，与滑模变结构控制器相比，能够实现稳定跟随行驶，且速度误差和加速度误差更小，速度误差控制在-0.29132~0.18001m/s，加速度误差控制在-0.05678~0.05628m/s2，稳定跟随距离误差为±0.45m，具有良好的跟随效果。     

基于农牧户视角的荒漠化治理中退牧还草技术综合评价——以内蒙古鄂托克旗为例

农牧户作为退牧还草技术的实施者和重要利益相关者,其对技术的感知度和认可度对于调整和完善退牧还草技术具有重要的现实意义。本文以草地荒漠化典型区域——内蒙古鄂托克旗为例,采用主观层次分析法和客观熵权法相结合的方法,构建包括技术成熟度、技术应用难度、技术相宜性、技术效益和技术推广潜力5个方面的退牧还草技术综合评价指标体系,基于农牧户视角对内蒙古鄂托克旗退牧还草技术进行综合评价。结果表明:1)基于农牧户视角的鄂托克旗退牧还草技术综合评价结果为0.469 8,说明农牧户对于退牧还草技术的综合评价处于中等水平,技术满意度一般,技术可持续性较弱。具体表现为农牧户对于技术自身的草地生态系统退化修复功能持以肯定态度,生态效益评价较高;而对于经济效益和技术可持续性评价较低。2)分项退牧还草技术评价结果由高到低的排序为:技术相宜性、技术效益、技术成熟度、技术应用难度、技术推广潜力。3)分区域研究得出,鄂托克旗退牧还草技术综合评价的区域差异性较小。因此,退牧还草技术的综合评价结果能够反映农牧户对于该项技术的满意程度,为退牧还草技术的持续有效实施提供参考。     

果园有机肥深施机分层变量排肥控制系统设计与试验

果园不同深度的土壤养分不同，果树根系分层吸肥能力不同，有机肥分层变量深施可以解决传统施肥存在的养分分布不均和肥料利用率低等问题。针对有机肥分层变量深施的排肥控制问题，本文设计了排肥控制系统，可以根据用户设置的各层理论排肥量和作业速度，实时计算液压马达的理论转速，并采用PID算法控制比例流量阀开度，调节马达转速驱动螺旋输送器排肥，实现分层变量排肥。将AMESim中建立的液压系统模型与在Matlab/Simulink中建立的控制模型进行联合仿真，整定PID参数。液压马达转速调节性能试验中最大超调量为14r/min，达到稳定转速的时间最大为6s，控制性能较好，表明通过AMESim-Matlab/Simulink联合仿真，能够快速便捷地整定PID参数，结果准确可靠。排肥控制性能试验中排肥量相对误差最大6.20%，变异系数最大8.69%，排肥量准确性和均匀性均达到要求。设计的控制系统具有较好的性能，能为果园有机肥分层变量深施提供技术支撑。     

农用无人机移动补给平台自主降落算法与试验

为实现根据无人机作业位置改变中途补充能源或喷洒物的起降地点,增加无人机有效作业时间,提高无人机作业效率,设计了无人机移动补给平台。通过研究农用无人机自主降落过程,提出一种基于模糊逻辑和比例积分微分(Proportional-integral and derivative,PID)分段控制的农用无人机跟踪降落算法,该算法既拥有PID算法的高精度,又兼顾模糊控制算法响应速度快、超调量小、鲁棒性强的优点。目标轨迹跟踪预测由粒子滤波器跟踪算法和轨迹拟合算法相结合进行求解。仿真和现场试验表明,与单一的PID算法和模糊逻辑算法相比,分段控制算法能够把农用无人机对移动补给平台的跟踪误差缩小到6. 7 cm以内,在移动补给平台上的降落精度控制在7. 2 cm以内。     

茶农绿色防控技术采用行为影响因素实证研究

利用16个茶叶主产省2 210份茶农调查数据,借助Logit模型分析了影响茶农绿色防控技术采用行为的因素。结果表明,茶农采用绿色防控技术受个人特征、家庭特征、茶园经营特征和组织与技术服务特征4个方面的因素影响,其中组织与技术服务特征因素的影响最大。具体来看,年龄、家庭人口规模和茶园规模对茶农采用绿色防控技术有显著的负向影响;农残限量标准认知、家庭年收入、组织化程度、技术培训和技术交流对茶农采用绿色防控技术有显著的积极影响。了解农残限量标准的茶农采用绿色防控技术的概率约是不了解的2倍;家庭收入每增加1万元,技术采用发生比相对增加2%;加入合作社的茶农采用绿色防控技术的概率是未加入的1.73倍;茶农参加病虫害防治培训次数每增加1次,技术采用发生比提升为原来的150%。受教育程度、打工收入占比、农药价格敏感性等因素在本研究中对茶农绿色防控技术采用的影响不显著。由此,有关政府部门需要通过增强茶农组织化程度,加强农户病虫害防治培训,降低技术使用成本等手段促进农户绿色防控技术的采用,以便实现绿色农业。     

水稻两段栽培技术在浉河区生产上的应用成效

介绍了水稻两段栽培技术的原理和方法,以及信阳市浉河区推广水稻两段栽培技术在减肥控氮、节本增效等方面取得的主要成效和主要做法。     

Transgenic sorghum with suppressed synthesis of kafirin subclasses: Effects on flour and dough rheological characteristics

Arising from work showing that conventionally bred high protein digestibility sorghum types have improved flour and dough functionality, the flour and dough properties of transgenic biofortified sorghum lines with increased protein digestibility and high lysine content (TG-HD) resulting from suppressed synthesis of several kafirin subclasses, especially the cysteine-rich γ-kafirin, were studied. TG-HD sorghums had higher flour water solubility at 30 °C (p < 0.05) and much higher paste viscosity (41% higher) than their null controls (NC). TG-HD doughs were twice as strong as their NC and dynamic rheological analysis indicated that the TG doughs were somewhat more elastic up to 90 °C. CLSM of doughs and pastes indicated that TG-HD had a less compact endosperm protein matrix surround the starch compared to their NC. The improved flour and dough functional properties of the TG-HD sorghums seem to be caused by reduced endosperm compactness resulting from suppression of synthesis of several kafirin subclasses which modifies protein body and protein matrix structure, and to improved protein-starch interaction through hydrogen bonding specifically caused by reduction in the level of the hydrophobic γ-kafirin. The improved flour functionality of these transgenic biofortified sorghums can increase their commercial utility by complementing their improved nutritional quality.     

R44直升机飞防春尺蠖技术研究

使用R44直升机分别超低量喷洒虫螨腈、高效氯氰菊酯、甲氨基阿维菌素苯甲酸盐防治春尺蠖,防治效果均在90%以上。R44直升机雾化效果好,喷洒覆盖率高,飞防作业效率高,适合于进行林业病虫害防治。     

Four years validation of decision support optimising herbicide dose in cereals under Spanish conditions

The Danish decision support system Crop Protection Online (CPO) optimises herbicide weed control. CPO recommends specific herbicide solutions to achieve a required level of control. The aim is to apply herbicides as little as possible but as much as necessary. CPOWeeds is a version of CPO adjusted to conditions in North-eastern Spain. The predicted efficacies and the yield obtained with CPOWeeds were validated in winter cereal field trials from 2010 to 2013. All CPOWeeds treatments were related to the efficacies obtained with standard herbicide treatments decided upon by local advisors. The predictions from CPOWeeds were compared to the actually achieved efficacies in the field trials for the nine weed species at different developmental stages and for 84.2% of the comparisons the obtained efficacies were equal to or higher than predicted. The average difference between predicted and observed efficacies was 2.35 percentage points. Yield was measured in three trials and the recommendations from CPOWeeds were maintaining yield. There were two situations where CPOWeeds were performing suboptimal. One is in the early weed growth stages, as the model is not yet prepared to account for water stress on root action herbicides applied at 10-11 BBCH. The second situation was in fields with a prior unidentified population of resistant Alopecurus myosuroides. For key species in winter cereals in Spain, such as Avena sterilis, Lolium rigidum and Papaver rhoeas, CPOWeeds achieved a satisfactory control level. It was concluded that the use of CPOWeeds allowed optimisation of the herbicide application with a very high robustness. The recommendations were satisfactorily for the conditions of the Northeast of Spain and have the potential to decrease the amount of applied herbicides by at least 30%. Therefore, it can be an important tool in Integrated Weed Management.