抗青枯病花生种质资源的鉴定与筛选

为筛选适宜河南省信阳市种植的抗青枯病花生品种,对27份花生品种青枯病田间病圃进行鉴定,计算其发病率和病情指数,从而进行抗病性鉴定和筛选。结果表明,27个供试品种中,中高抗品种共10个占总数的37%,3个品种类型各筛选出2个抗病品种。6个抗病品种发病规律表明,7天和14天病情指数增长较快,21天后基本无变化。高油型花生‘远杂9102’和‘信花425’,高油酸型花生‘信花14号’和‘驻花11号’,普通型花生‘远杂21号’和‘豫花149号’为适宜信阳种植的抗病品种。     

油茶内生拮抗细菌的筛选、鉴定及防效

为筛选出对油茶炭疽菌有拮抗效果的生防菌株，以油茶健康叶为对象，平板对峙法筛选，利用形态和生理生化特征以及16S rDNA基因和gyrA基因序列对菌株进行鉴定，测定其抑菌活性，并将该菌株与枯草芽胞杆菌Y13复配进行林间防效试验。结果表明，对油茶炭疽病菌拮抗作用效果较强的内生菌株为HBMC—B05；菌落为乳白色，不透明，边缘不整齐，中间有凸起；分子鉴定结果显示菌株HBMC—B05为贝莱斯芽胞杆菌Bacillus velezensis，其对果生炭疽菌Collectotrichum fructicola，抑菌率可达到81.31%，对另外3种油茶炭疽病病原菌抑菌率可达到70%以上，对其他4种致病菌也有抑制作用；复合菌剂对油茶病害的田间防治效果达到59%以上。该菌株的抑菌具有广谱性，可为油茶病害的生物防治扩充菌种资源，具有广泛的应用前景。     

西南弱光地区机插杂交籼稻“减穴稳苗”栽培的群体冠层质量特征

【目的】探明机插条件下减穴稳苗配置对杂交籼稻群体冠层质量的影响,为西南弱光稻区杂交籼稻机插栽培技术的推广应用提供理论支撑。【方法】2016—2017年采用两因素随机区组田间试验,因素1,2年均为不同田间配置,设常规配置（30 cm×12 cm）和减穴稳苗（30 cm×23 cm）;因素2,2016年为不同株型水稻品种（F优498,中后期株叶型松散;宜香优2115,中后期株叶型上紧下披）,2017年为不同基本苗（42×10⁴/hm²和63×10⁴/hm²）;研究了不同田间配置对机插杂交籼稻群体冠层结构、光合特性和微环境（冠层温度、湿度和透光率）的影响。【结果】（1）减穴稳苗齐穗期能维持与常规配置相当的单茎绿叶面积、粒叶比和上三叶比叶重,其中2017年倒二叶与倒三叶比叶重显著增大;齐穗期剑叶光合速率、气孔导度、蒸腾速率分别较常规配置显著提高23.84%、23.53%和13.79%。（2）较常规配置,减穴稳苗显著增大各时期冠层幅度,提高冠层透光率,降低收敛指数,群体通透性更好;减穴稳苗处理提高了2016年F优498孕穗期和齐穗期的一次分蘖角度,而宜香优2115的一次分蘖角度2年均表现为减穴稳苗小于常规配置。（3）相关分析表明,孕穗期冠层日均温、昼夜温差和昼夜湿差与齐穗期剑叶和倒二叶比叶重呈显著或极显著正相关,与齐穗期收敛指数呈显著负相关;此外,孕穗期冠层日均温和昼夜湿差还与齐穗期冠层幅度呈显著正相关;齐穗期冠层日均温和昼夜温差与分蘖盛期、拔节期及齐穗后20 d的一次分蘖角度呈显著或极显著负相关,日均相对湿度则相反。减穴稳苗有效地改善了植株冠层结构,从而显著提高孕穗期和齐穗期的冠层温度和昼夜温差,提高孕穗期、齐穗期和齐穗后20 d的昼夜湿差,并显著降低日均相对湿度。【结论】减穴稳苗田间配置优化了机插杂交稻的群体冠层结构和光分布,增大了群体内部昼夜温差和湿差,降低了相对湿度,提高了群体质量和光合速率,为高产稳产奠定了基础,是西南弱光稻区进一步推进机插秧发展的重要技术途径。     

Effect of microwave pre-treatment on physical quality,bioactive compounds,safety risk factor,and storage stability of peanut butter

Microwave, as a new heat treatment technology, has the characteristics of uniform and fast heating speed. It is an energy-saving technology known for improving oilseed product quality. Its efficiency mainly depends on the roasting power and time. However, the production of high-quality peanut butter using short-time roasting conditions are limited. Herein, we determined an appropriate microwave roasting power and time for peanuts and evaluated its impacts on the quality of peanut butter. Different roasting powers (400 ​W, 800 ​W and 1200 ​W) and times (4, 4.5, 5, and 5.5 ​min) were preliminarily tested. Among them, 800 ​W at 5 ​min was the most suitable. The roasting efficiency was further evaluated using color, sensory, bioactive compounds, storage stability, and safety risk factors of peanut butter produced from four peanut cultivars (Silihong, Baisha-1016, Yuanza-9102, and Yuhua-9414). The pre-treated butter obtained from three cultivars (Silihong, Yuanza-9102, and Yuhua-9414) with moisture content between 5% and 7.2% had a similar sensory score (6–7) as the commercial on a 9-point hedonic scale compare to the other. The color of the pre-treated peanut butter varies statistically with the commercial but remained in the recommended range of Hunter L1 values of 51–52, respectively, for high initial moisture peanut cultivars. The total polyphenol (35.20-31.59 ​± ​0.59 ​μmol GAE/g) and tocopherol (19.05 ​± ​0.35 ​mg/100 ​g) content in the butter obtained from three cultivars (Yuahua-9102, Yuhua, and Baisha-1016) and Silihong respectively, were significantly (P ​< ​0.05) higher than those in the commercial butter. The induction times of all pre-treated butter (19.80 ​± ​0.99–7.84 ​± ​0.07 ​h) were significantly (P ​< ​0.05) longer during storage at accelerated temperature than commercial samples. In addition, no benzo[a]pyrene was found in the pre-treated samples. Collectively, the microwave pretreated peanut butter was superior to the commercial one. These findings provided data support and a reference basis to promote microwave use for peanut butter production.     

抛膜链齿输送式残膜回收机设计与试验

新疆棉田残膜污染问题严重,机械回收残膜是目前主要的回收方式。现有残膜回收机普遍采用弹齿或伸缩杆齿式起膜装置,回收过程中容易出现残膜缠绕工作部件、卸膜难等问题,影响起膜和卸膜效果。为此,借鉴现有机型的优点,通过刨膜辊刀起膜、抛膜辊刀抛送原理,设计一种起膜抛送、链齿输送、自动脱膜的抛膜链齿输送式残膜回收机。该机具主要由起膜装置、输送装置、脱膜装置、传动系统和集膜箱等组成。残膜通过抛送起膜,配合链齿输送,实现残膜与土块分离,保证了起膜的可靠性;利用自动脱膜和刮板式脱膜机构完成卸膜,解决了残膜缠绕、卸膜难的问题。田间试验结果表明:当作业速度为4~7 km/h时,残膜回收率均值为90.6%,机具作业效率均值为0.84 hm~2/h,残膜含杂率均值为3.971%,当作业速度较快时,提高了作业效率,但回收率降低,含杂率增大。当作业速度为5 km/h时,回收率均值为91.8%,作业效率均值为0.733 hm~2/h,含杂率均值为2.605%,为较适宜的作业速度。该机具运行可靠,起膜与脱膜效果较好,可用于新疆棉田残膜回收。     

农田边界植物多样性与生态服务功能研究进展

农业集约化和城市化导致农业景观重要生境发生巨大变化,农田野生动植物数量下降。农田边界作为农业景观中重要的组成部分,其丰富的物种组成,不仅具有重要的生态功能,也具有重要的景观价值。本研究对农业生态系统农田边界植物多样性进行阐述,论述了影响农田边界植物多样性的影响因素和生态服务功能。综述研究显示,农田边界具有类型多样性、物种多样性、植物功能类型多样性及时空结构多样性特征;其影响因素主要包括农田边界结构、农田边界管理、周边土地利用影响以及景观结构特征的影响4个方面;农田边界生态功能包括生产、环境保护、野生动植物保护和景观美学功能等;最后总结了不同类型农田边界生态植被营建模式与优化途径,对中国农田边界植被管护提出了一些建议。     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

夏玉米蒸散优化参数模型及参数敏感性分析

分别采用2种不同的冠层阻力模型和土壤阻力模型,组合成4种Shuttleworth-Wallace(S-W)模型,模拟夏玉米农田灌浆期的逐时蒸散量,以涡度相关法观测蒸散量为实测值检验模型改进的效果,找出最优冠层阻力模型和土壤阻力模型,并分析最优S-W模型对各阻力参数的敏感性。结果表明:李俊改进型有效叶面积指数冠层阻力模型和Sellers土壤阻力模型组合的S-W模型模拟效果最好,S-W模型估算玉米田蒸散的精度显著提高,蒸散发模拟值与实测值的相关系数、一致性指数更接近1,蒸散发模拟的相对误差和均方根误差变小。敏感性分析表明,在计算各个阻力参数模型中,S-W1模型估算蒸散发对冠层阻力最敏感,其次是土壤阻力和有效叶面积指数;采用改进型有效叶面积指数冠层阻力模型和Sellers土壤阻力参数模型组合后,在一定程度上提高了模型精度,提高了计算准确率。     

生防菌解淀粉芽胞杆菌Ht-q6可湿性粉剂的研制及对番茄病害的田间防效

为了研制一种高效、安全及无污染的生防菌剂，本文以核桃内生生防菌解淀粉芽胞杆菌Ht-q6为材料，通过室内筛选和田间试验，确定了生防菌Ht-q6可湿性粉剂的最佳助剂配方及对番茄叶霉病和灰霉病的田间防效。结果表明，可湿性粉剂的最佳配方为载体硅藻土（85%）、润湿剂十二烷基苯磺酸钠（6%）、分散剂木质素磺酸钠（6%）、稳定剂KH₂PO₄（1.0%）、紫外保护剂抗坏血酸（1.0%）。该粉剂芽胞含量2.28×10¹⁰ cfu/g、杂菌率0.5%、pH 5.8、细度93.5%、干燥减量2.5%、润湿时间45 s、悬浮率85.6%，符合国家标准值，质量合格。同时采用喷雾法测定了不同浓度菌剂对大棚中番茄病害的防治效果，结果表明，稀释200×（制剂用量225 g/667m²）的可湿性粉剂对番茄灰霉病和叶霉病的防效分别为77.1%和74.3%，与对照药剂75%百菌清的防效相比，叶霉病防效差异不显著而灰霉病防效差异显著。该菌剂的研制在生产实践中为番茄病害提供一条生防途径。