上海市奉贤区设施菜地土壤理化性状分析

测定了上海市奉贤区不同年限设施菜田土壤盐分含量、离子组成和肥力状况,并对土壤性状进行了分析。结果表明,棚龄2 a及以上设施大棚的盐分含量、电导率均显著高于1 a大棚,除HCO3-外,七大离子含量均显著提高;设施菜地土壤有酸化趋势,6 a及以上棚龄的设施菜田土壤pH值降至5.87,达到弱酸水平;随设施大棚种植年限增加,土壤有机质、全氮、碱解氮、有效磷含量呈上升趋势,特别是6 a及以上棚龄上升显著。     

The role of time preferences in contract breach: Evidence from Chinese poultry farmers participating in contract farming

Farmers’ contract breach behavior is cited as one of the major stumbling blocks in the sustainable expansion of contract farming in many developing countries. This paper examines farmers’ contract breach decisions from the perspective of time preferences. The empirical analysis is based on a household survey and economic field experiments of poultry households participating in contract farming conducted in Jiangsu Province, China. A discounted utility model and a maximum likelihood technique are applied to estimate farmers’ time preferences and the effect of time preferences on contract breach in the production and sales phases are explored with a bivariate probit model. The results show that, on average, the poultry farmers in the sample are generally present biased and impatient regarding future utility. The regression results show that farmers with a higher preference for the present and a higher discount rate are more likely to breach contracts, and time preferences play a greater role in the production phase than in the sales phase. When considering heterogeneity, specific investments and transaction costs promote contract stability only for farmers with a low degree of impatience. Moreover, compared with large-scale farmers, small-scale farmers’ contract breach decisions are more significantly affected by their time preferences. These results have implications for contract stability policies and other issues that are impacted by the linking of behavioral preferences to agricultural decisions.     

生物炭基土壤调理剂对酸性菜田土壤的改良效果

为研究不同配比生物炭基土壤调理剂对酸性菜田土的改良效果,以生石灰、粉煤灰、钢渣和生物炭为原料,通过盆栽试验研究4种原料不同配比生物炭基土壤调理剂对酸性菜田土壤的改良效果及对油麦菜养分吸收、产量的影响。试验采用4因素3水平正交试验。生石灰、粉煤灰、钢渣用量水平为0、2.5、5.0g·kg^-1,生物炭用量水平为0、25.0、50.0g·kg^-1,共9个处理,每个处理设4次重复。结果表明：施用不同配比生物炭基土壤调理剂后,土壤pH显著提高0.82~1.75个单位,土壤交换性钙、阳离子交换量（CEC）分别显著增加38.52%~122.63%、41.10%~78.65%（P<0.05）;土壤微生物丰富度提高,其中溶杆菌属（Lysobacter）、马赛菌属（Massilia）等微生物增加最为明显;油麦菜对N、P、K的吸收量增加7.94%~64.79%,产量增幅达8.03%~16.68%;土壤碱解氮含量显著降低,土壤脲酶和过氧化氢酶活性变化不显著;施用适宜配比的生物炭基土壤调理剂后,土壤有机质、全氮、有效磷、速效钾、交换性镁含量以及土壤磷酸酶和蔗糖酶活性均有不同程度的提高。研究表明,生物炭基土壤调理剂对酸性菜田土壤具有良好的改良效果,当生石灰、粉煤灰、钢渣和生物炭的施用量分别为5.0、2.5、5.0g·kg^-1和50.0g·kg^-1时效果最佳。     

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。     

开式离心纸浆泵叶轮流道内部流场PIV试验研究

为研究开式纸浆泵叶轮流道内纤维颗粒对液相流场的影响,采用透明有机玻璃材料制造模型样机,以清水和0.1%质量浓度的头发纤维悬浮液为介质,通过PIV试验对叶轮流道内的流动进行可视化研究.试验结果表明:当输送清水介质时,在大流量工况下叶轮流道内流动稳定,未出现旋涡和低速区;在小流量工况下,当叶轮流道旋转到蜗壳隔舌附近位置时,在叶轮流道中段压力面附近开始产生低速区,且低速区随着叶轮流道靠近隔舌位置和流量减小逐渐增大,在远离隔舌位置的叶轮流道内未产生明显的低速区;受叶片扭曲的影响,在叶轮流道内垂直于泵轴的不同截面上的相对速度大小不同,且随着叶片扭曲程度减小,相对速度差减小;输送头发纤维悬浮液介质时,在纤维颗粒的影响下,叶轮流道内的液相流动相对速度降低,导致在小流量工况下叶轮流道中段压力面附近低速区面积增大;在大流量工况下,纤维颗粒存在使液相流动的相对速度大小分布更均匀.     

颗粒肥料质量流量传感器设计与试验

变量施肥具有提高肥料利用率、保护生态环境、节约农业生产成本等优点，但目前还没有得到广泛的应用，除了难以获得变量施肥的处方图之外，缺乏闭环检测也是原因之一。闭环控制是实现变量施肥的关键之一，与间接测量排肥轴的转速相比，实时检测肥料的质量流量更为准确。本文基于静电感应原理，设计了一种颗粒肥料质量流量传感器。由于颗粒肥料之间、颗粒肥料与空气、颗粒肥料与排肥管之间的摩擦和碰撞，颗粒肥料会携带一定量的电荷，因此本研究设计了环形电极来检测电荷强度，并利用电流放大电路输出感应电流。通过标定质量流量与感应电流的关系，获得了实时的肥料质量流量。搭建试验台对该颗粒肥料质量流量传感器进行检测，试验台主要包括动态信号采集系统、肥料箱、电流放大器和环形电极传感器。以大颗粒尿素（CO(NH2)2）、过磷酸钙（Ca(H2PO4)2·H2O）和氯化钾（KCl）为研究对象，其平均容重分别为0.7、1.2、1.1g/cm3。根据施肥装置的物理参数，通过调整排肥轴转速可获得近似的目标质量流量，目标质量流量的范围是3~15g/s，增量为1g/s。对于每个质量流量，进行了4次重复。每次重复30s，施肥装置与信号采集系统同时启动。利用平均感应电流和平均质量流量建立回归方程，采用插值法得到实时质量流量。随后，对每种肥料进行25次试验，从而检验本文中颗粒肥料质量流量传感器的测量精度，每次试验的目标质量流量由5个随机质量流量组成，每个质量流量下持续排肥6s，用天平称量30s内的实际质量，通过积分质量流量和时间曲线计算检测质量。采用SPSS 22.0软件对试验结果进行统计分析，分析表明，大颗粒尿素、过磷酸钙、氯化钾的检测误差分别为3.9%、5.1%、5.9%，相应的标准差分别为5.21、7.98、11.29。检测质量与实际质量无显著性差异（P>0.1），大颗粒尿素、过磷酸钙和氯化钾检测误差的数学期望值分别为3.74%、4.93%、5.22%。本文的研究结果表明，检测误差随颗粒肥料粒径的减小而增大。     

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.     

The positive relationship between soil quality and crop production: A case study on the effect of farm compost application

In order to ensure sustainable agriculture, and for evaluating the effects of management practices on soil processes, tools for assessing soil quality are required. The development and use of a multiparameter index, which includes a wide range of soil properties, have been tested and found useful by several studies. However, soil quality measurements are ‘stand-alone’ tools unless they are either linked to important soil functions, used to characterize (agro)ecosystems or used to predict sustainability or productivity. In our study, the relationship between crop production and soil quality was assessed in a six year old field experiment studying the effect of farm compost (FC) amendment in a crop rotation of potato, fodder beet, forage maize and Brussels sprouts. To justify the hypothesis that repeated FC amendment results in both improved soil quality and consequently higher crop yields, a wide range of chemical, biological and physical soil properties were measured and integrated into a soil quality index (SQI). Next, crop yields were used as a functional goal to verify the causal relationship between SQI and crop production. Our results showed that there were significant changes in chemical, physical and biological soil quality as a result of repeated FC amendment. This was evidenced for example by a remarkable increase in both soil organic carbon (SOC) and total N content. Microbial biomass, the relative amount of bacterivorous nematodes and earthworm number were significantly increased as well and, together with SOC and total N, indicated as the dominant factors in assessing soil quality. The integration of these key indicators into the SQI revealed higher SQI values when FC was applied. In addition, crop yields were increased in all FC treated plots by which SOC was pointed out as the most important indicator influencing crop production. Finally, a causal relationship was observed between soil quality and the yield of potato and fodder beet. We conclude that our SQI may be a promising and useful tool to compare different (soil) management practices in relation to a strategic, regional goal, e.g., sustainable high yields. Before generalizing, we recommend a thorough validation of our SQI in other long-term field experiments.     

Assessing appetite of the swimming fish based on spontaneous collective behaviors in a recirculating aquaculture system

In order to realize the real-time appetite-based feeding in aquaculture, a novel and practical method, based on the quantification of the spontaneous collective behaviors, was proposed in this study to assess the real-time appetite of the swimming fish in a recirculating aquaculture system. First, foreground feature points of fish school were extracted using an improved complex network. Then, covariance, a modified social force model and a kinetic energy model were used to analyze the collective behaviors of the school from perspectives of dispersion degree, interaction force and the changing magnitude of the water flow field, respectively. Finally, the quantified behavioral characteristics were integrated and used to assess the appetite of fish school. The presented method shows its good performance in the expression of the collective behaviors representing five typical appetites (0.01, 0.52, 1.28, 2.26 and 2.92), and the assessing accuracy of the appetite of the school is also maintained at a low non-match rate ((2.19 ± 0.81)% best) in the context of ten different sampling durations.