赴美国肉牛规模化生产技术考察团考察报告（一）——探求美国肉牛产业发展之道

美国肉牛业无论是肉牛品种、生产方式、服务体系、产品质量均居于世界领先地位．并且还建立了完整且运行规范的生产体系,即种牛场一带犊母牛繁育场一架子牛饲养场一育肥场——屠宰加工场。同时。肉牛产业研究分为理论研究与实践研究,理论研究主要是该领域前瞻性的科学研究;实践性研究用于解决当前生产中存在的问题与难点,以保证肉牛产业健康、持续发展。     

Aspartase Activity of Soils Under Different Management Systems

Abstract

Recent interest in soil tillage, cropping systems, and residue management has focused on low‐input sustainable agriculture. This study was carried out to evaluate the effects of various management systems on aspartase activity in soils. This enzyme [L‐aspartate ammonia‐lyase, EC 4.3.1.1] catalyzes the hydrolysis of L‐aspartate to fumarate and NH₃. It may play a significant role in the mineralization of organic N in soils. The management systems consisted of three cropping systems [continuous corn (Zea mays L.) (CCCC); corn‐soybean [Glycine max (L.) Merr.]‐corn‐soybean (CSCS); and corn‐oat (Avena sativa L.)‐meadow‐meadow (COMM) {meadow was a mixture of alfalfa (Medicago sativa L.) and red clover (Trifolium pratense L.)] at three long‐term field experiments initiated in 1954, 1957, and 1978 in Iowa and sampled in June 1987. The plots received 0 or 180 (or 200) kg ha^?1 before corn and an annual application of 20 kg P and 56 kg K ha^?1. The tillage systems (no‐tillage, chisel plow, and moldboard plow) were initiated in 1981 in Wisconsin and sampled in May 1991. The crop residue treatments were: bare, normal, mulch, and double (2×) mulch. The residue in the study was corn stalks. Results showed that, in general, crop rotation in combination with N fertilizer treatments affected aspartase activity in the following order: COMM>CSCS>CCCC. Because of nitrification of the NH₄ ⁺ or NH₄ ⁺‐forming fertilizers, which resulted in decreasing the pH values, N fertilizer application, in general, decreased the aspartase activity in soils in the order: CCCC>CSCS>COMM. The effect of tillage and residue management practices on aspartase activity in soils showed a very wide variation. The trend was as follows: no‐till/2× mulch>chisel plow/mulch>moldboard plow/mulch>no‐till normal>chisel plow/normal>no‐till bare>moldboard plow/normal. Aspartase activity decreased with increasing depth in the plow layer (0–15 cm) of the no‐till/2× mulch. The decreased activity was accompanied by decreasing organic C and pH with depth. Statistical analyses using pooled data (28 samples) showed that aspartase activity was significantly, linearly correlated with organic C (r=0.78^***) and exponentially with soil pH (r=0.53**). The variation in the patterns and magnitudes of activity distribution among the profiles of the four replicated plots was probably due to the spatial variability in soils.     

Nitrogen and Phosphorus Losses with Drainage Runoff and Field Balance as a Result of Crop Management

Abstract

Two high‐input and two low‐input crop‐management systems, one reference treatment with field crop rotation, and one long‐term moderately treated pasture were studied and compared in respect to nitrogen (N) and phosphorus (P) flow and balance. The experiment was conducted on tile‐drained plots covered by Endocalcari‐Endohypogleyic Cambisols. The least Nmin (mineral nitrogen) leaching losses were registered in the pasture. The high‐input management systems did not consistently result in larger losses of Nmin [mainly nitrate (NO₃)‐N] and Ptot (total phosphorus) in the drainage water. The leaching of Nmin depended more on amount of the drainage water leaving the site, soil organic matter/humus, and soil Ntot content (positive correlation) as well as the content of water‐stable aggregates (negative correlation). The higher concentrations of Ptot in drainage runoff in the organic (ORG1) treatment and pasture during the second rotation might be conditioned of ley root system impact. Ptot leaching was positively correlated to the available P₂O₅‐AL in the topsoil. Negative N field balance was determined in all the treatments, except ORG2 and LTP in 1995–1999, whereas it was negative only in the reference plots (REF) in the 2001–2003 rotation because of the increased crop residues and drier climatic conditions. Phosphorus balance was slightly negative in the ORG1 and reference treatments during both rotations.     

Compost and Nitrogen Management Influence Productivity of Spring Maize (Zea mays L.) under Deep and Conventional Tillage Systems in Semi-arid Regions

On-farm research was conducted to investigate the effects of nitrogen (N) and compost (C) on yield and yield components of spring maize (Zea mays L.) under conventional and deep tillage system (T) at the research farm of the University of Agriculture, Peshawar, Pakistan, during spring 2013. The experiment was laid out in a randomized complete block design with split-plot arrangement, using three replications. Three compost levels (0, 1, and 2 t ha^?1) and two tillage systems (conventional and deep tillage) were allotted to the main plot, whereas N levels (60, 90, 120, and 150 kg N ha^?1) were allotted to subplots in the form of urea. Nitrogen and compost levels had significantly affected all the parameters. Plots treated with 150 kg N ha^?1 increased ear length (31 cm), grains ear^?1 (413), thousand-grain weight (240.2 g), grain yield (3097 kg ha^?1), straw yield (9294 kg ha^?1), harvest index (24.7 percent), and shelling percentage (81.7 percent). Compost applied at 2 t ha^?1 increased ear length (32 cm), grains ear^?1 (430), thousand-grain weight (242.3 g), grain yield (2974 kg ha^?1), straw yield (8984 kg ha^?1), harvest index (24.6 percent), and shelling percentage (83.2 percent). Tillage system had significant effect on all parameters except ear length and harvest index. Deep tillage system produced more grains ear^?1 (365), thousand-grain weight (233.3 g), grain yield (2630 kg ha^?1), straw yield (8549 kg ha^?1), and shelling percentage (79.6 percent). It was concluded from the results that application of 120 kg N ha^?1 + 2 C t ha^?1 under a deep tillage system could improve spring maize yield and yield-contributing traits under semi-arid conditions.     

Automated Collector of Terrestrial Systems Used for the Gathering of Soil Atmospheric‐Gas Emissions

Soil greenhouse gas (GHG) emissions are complex, and their study requires considerable sampling of field spatial and temporal differences. Manual and simple automated gas‐collection techniques used at multiple sites during specific time intervals are labor intensive. The objective of this work was to construct a device that can independently collect GHG samples with the accuracy and precision of manually drawn samples. An automated collector of terrestrial systems (ACTS) is a 24‐h, 7‐d/week programmable sampler used in the field for real‐time gathering and containment of soil GHG emissions. The sampler opens and closes an exterior soil gas chamber, mixes gases in the chamber by turning fans on/off, and utilizes programmable circuits to purge the system and draw a sample from the chamber with a pneumatic‐driven syringe. Each sample was stored in an evacuated vial held in a 30‐vial capacity carousel. Vial content was analyzed for carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) at the U.S. Department of Agriculture (USDA)–Agricultural Research Services (ARS) Agroecosystem Management Research Unit (AMRU). A Tracor MT‐220 gas chromatograph (GC) configured with a thermal conductivity detector (TCD) was used for CO₂ analysis, and an automated gas‐sampling system (AGSS) attached to a Varian 3700 GC configured with flame ionization detection (FID) and electron capture detection (ECD) was used for CH₄ and N₂O analysis. Field and laboratory mean values and coefficients of variation (standards and field concentrations of CO₂, CH₄, and N₂O ranging from ambient to 71 kg ha^?1 d^?1 had coefficients of variation ranging from 1.2 to 4.2%) were similar between ACTS and manually drawn samples. Results showed strong correlation (R² = 0.81 to 1.00) between sampling methods. The sampler design provides a realistic and inexpensive approach for collecting emission samples while reducing human error associated with adverse sampling conditions and fatigue. The ACTS has potential for use in monitoring and comparing management practices in terrestrial systems to determine their contribution to GHG emissions.     

Microbial Biomass in Relation to Soil Properties under Integrated Farming Systems of Meghalaya,India

The effects of different integrated farming systems on microbial biomass was studied 20 years after their adoption at Meghalaya, India. The soil fertility was relatively greater in agricultural and agri‐horti‐silvi‐pastoral systems as a result of accumulation of leaf litter/crop residues and addition of inorganic and organic manures. Microbial biomass carbon was greatest in agricultural (378 mg kg^?1) followed by the agri‐horti‐silvi‐pastoral systems (291 mg kg^?1). The most microbial biomass nitrogen (N) and phosphorus (P) (32.4 and 17.07 mg kg^?1, respectively) were recorded in agricultural followed by agri‐horti‐silvi‐pastoral systems. Microbial biomass carbon (C) had a significant relationship with organic C, microbial biomass N, and biomass P, indicating that the living part of soil organic matter is involved in the transformation of nutrients into the labile pool and governs their availability to the plants. Application of inorganic fertilizers and organics along with lime has contributed more microbial biomass that led to more biological activity attributed in nutrient transformations and also maintained the soil fertility.     

稻菜轮作制下土壤有效态汞提取剂和提取条件研究

选择长三角地区代表性人为耕作土——青紫泥为研究对象,通过网室盆栽和室内试验,选用CaCl2,HCl,DTPA(二乙烯三胺五乙酸)和NH4OAc共4种提取剂,研究了水稻—小白菜—萝卜作物轮作系统中土壤有效态汞提取剂的选择与提取条件的优化问题。结果表明,不同提取剂提取的有效态汞含量随提取时间的延长而逐渐增加,30min可作为提取剂提取土壤有效态汞的最佳平衡时间;随土水比的减小,提取剂提取的土壤有效态汞量明显提高,1∶5为较适宜的土水比;不同提取剂的提取能力不同,对供试土壤,提取剂提取能力的大小顺序为:CaCl2>HCl>NH4OAc>DTPA。提取剂提取的土壤有效态汞量之间存在显著正相关,其中CaCl2和NH4OAc之间相关性最高;在土壤—水稻系统和土壤—萝卜系统中作物可食部位汞含量与提取剂提取的土壤有效态汞含量之间存在显著正相关关系,但在土壤—小白菜系统中相关性不强。综合分析,确定CaCl2为供试土壤汞有效态的最佳化学提取剂。     

不同时间尺度太阳辐射数据对作物生长模型的影响(英)

逐日太阳辐射数据是作物模拟模型的重要输入参数之一。然而,在很多情况下,候、旬、月尺度的辐射信息相对容易获取。该文利用长时间序列(1961-2000)逐日太阳辐射数据,分别建立研究区候、旬、月不同时间尺度太阳辐射数据库,利用两个常用的作物生长模型(CERES-Maize和CGOPGRO-Soybean),以逐日数据(太阳辐射和模拟结果)为基准,分别探讨在雨养和灌溉条件下,不同时间尺度太阳辐射数据对作物生长模型的影响。结果表明:在不同时间尺度下,模型的输出(花期和作物产量)都接近于基准值。总体来看,两个模型模拟的花期平均误差和平均相对误差均接近于0,均方根误差为3.5d;CERES-Maize模型的模拟产量低于基准值,而CGOPGRO-Soybean的模拟结果高于基准值。在雨养和灌溉条件下,CERES-Maize的平均相对误差和均方根误差分别为-0.59%,120kg/hm2和-0.52%,129kg/hm2,CGOPGRO-Soybean的平均相对误差和均方根误差分别为5%,152kg/hm2和4.7%,165kg/hm2。短期数据误差(RMSE)是影响模型精度的主要因素。CGOPGRO-Soybean模型对不同时间尺度太阳辐射数据和水情信息比CERES-Maize模型敏感。当缺少逐日太阳辐射数据时,在雨养和灌溉条件下,候、旬、月尺度的太阳辐射数据都可以用于作物生长模型。     

通用农业环境信息监控系统ReGA网关设计

无线传感器网络(WSN)在农业智能化应用中具有良好技术优势和广阔应用前景,网关作为WSN连接外界应用系统的桥梁,在WSN中具有重要作用。已有网关设备主要针对特定应用系统提供数据汇集与转发功能,很少具备监测区域信息组织管理能力。该文以设计通用农业环境信息监控系统架构为背景,提出一种基于WinCE系统的可配置WSN网关体系结构(ReGA),在完成监测数据和控制指令转发的基础上,实现现场可视化设备和监测数据综合管理。ReGA的可配置体现在支持环境监测类型、监测节点属性动态配置,通过定义网关与上下层的交互协议,支持交互指令和封装参数的可配置,系统结构高内聚、低耦合。试验证明ReGA可靠性高,可灵活应用于农田、水产、林业、温室等不同领域。     

轻度混合动力车发动机Start/Stop系统控制策略

发动机怠速自动起停是轻度混合动力车的重要工作模式,它能避免发动机在怠速工况下运行,可减少燃油消耗及尾气排放。该文对集成起动机/发电机(ISG)轻度混合动力车发动机起动动力学和发动机Start/Stop系统控制策略进行了研究,同时在Matlab/Simulink中建立了整车控制器模型,在NEDC循环工况下对发动机和ISG电机的协调输出转矩进行了仿真分析,最后进行了发动机起动及整车转鼓对比试验。仿真及试验结果表明,Start/Stop系统能保证发动机在怠速工况下正常停机,通过Start/Stop系统的协调控制,发动机在整个循环工况下运转平稳,转矩输出值在低油耗区;和传统车相比,加装Start/Stop系统的轻度混合动力车HC和CO排放下降明显,百公里油耗由8.60L下降到7.30L,节油效果显著。