基于Hertz接触理论的黑水虻幼虫碰撞恢复系数测定

为建立黑水虻幼虫与收集、输送、分离等机械工作部件间发生碰撞时的碰撞模型，基于黑水虻幼虫生物特性，应用Hertz弹性碰撞理论推导了黑水虻幼虫碰撞过程动力学方程，结合运动学方程原理构建了黑水虻幼虫恢复系数的测定装置并进行了黑水虻幼虫恢复系数测定试验。试验针对第5龄期的黑水虻幼虫，采用L16(44×23)混合正交试验方案研究了碰撞材料、材料厚度、下落高度、碰撞角、跌落方向、含水率等因素对黑水虻幼虫恢复系数的影响，然后对碰撞材料、材料厚度、下落高度、碰撞角、跌落方向进行单因素试验，并获得了材料厚度、下落高度、碰撞角对恢复系数的影响规律与回归方程，且方程的决定系数均不小于0.9427。试验结果表明，影响黑水虻幼虫恢复系数的因素影响由大到小为：碰撞材料、下落高度、碰撞角、跌落方向、碰撞材料厚度、含水率，其中含水率对恢复系数影响不显著。单因素试验结果可得：黑水虻幼虫与Q235钢、铝合金、有机玻璃、橡胶等碰撞材料间的恢复系数依次降低，随下落高度的增大而逐渐减小，随材料厚度的增加而逐渐增大，恢复系数随碰撞角的增大而整体呈增大趋势，且横向跌落方向大于纵向跌落方向。该文研究结果可为黑水虻幼虫收集、输送、分离等机械相关工作部件优化设计提供参考依据。     

A data transfer method for improving seed identification of maize (Zea mays) haploid breeding based on genetic similarity

Maize haploid breeding technology is able to identify haploid seeds non‐destructively, rapidly and at low cost with the help of Near‐infrared (NIR) spectral analysis. However, due to the hybridization of numerous parents and the low production rate of haploid, the haploid data collection becomes a burden for engineering this technology. Biologically, there are considerable similarities between the progeny of the same female parent and different male parents. Based on this advantage, similar spectral data can be transferred when the NIR technology is employed. A revised method of Transfer adaptive boost (TrAdaBoost) is proposed to improve identifying for the backpropagation neural network (BPNN) classifier. To avoid the negative transfer, a screening thresh is used to select out similar data, and the amount of these data are limited to join current training. The results show that the identification performances are improved significantly when the data amount is small. This method shows a high ability to make the seed identification more convenient for engineering maize haploid breeding.     

Impact of sampling and storage technique,and duration of storage,on the composition of fresh grass when analysed using near‐infrared reflectance spectroscopy

The objective of this study was to examine the effect of sampling technique (pluck or cut), storage duration (immediate analysis, 24‐h or 48‐h), storage temperature (ambient or chilled) and storage conditions (air present, air excluded or breathable) on the composition of fresh grass sampled from a sward managed to simulate grazing. Treatments were repeated across four sampling dates, with grass samples stored in grip seal bags prior to analysis using near‐infrared reflectance spectroscopy. Grass sampled by ‘pluck’ had a higher crude protein and ME content, and a lower acid detergent fibre (ADF) content, compared to that sampled by ‘cut’. Grass stored for 48 h had a lower water soluble carbohydrate (WSC) and ME content and a higher ADF content than for immediate analysis. Samples stored for 24 h did not differ from immediate analysis. Grass stored at ambient temperature had a lower WSC and ME content compared to immediate analysis. Grass stored under ‘breathable’ conditions had a lower ME content and higher ADF content than immediate analysis or samples stored with air present or air excluded. It is recommended that grass for analysis should be sampled by cutting, stored chilled (4°C) in a sealed bag to minimize exposure to oxygen and analysed within 24 h of harvest.     

6种喷雾助剂对3种药剂表面张力与接触角的影响

为达到农药减施增效的目的,将6种喷雾助剂(强力源、柔水通、有机硅、阿普顿、怀农特、倍创)与3种药剂(70%吡虫啉水分散粒剂、5%阿维菌素乳油、1.3%苦参碱水剂)混配,测定混配后药液的表面张力和接触角变化,分析药液表面张力和接触角的关系。结果表明,添加不同质量浓度的6种喷雾助剂均能降低药液的表面张力,其中,有机硅、强力源、怀农特降低3种药剂表面张力的效果最好,柔水通、阿普顿次之,倍创效果最差。有机硅、柔水通、强力源、怀农特降低3种药剂接触角的效果最好,阿普顿次之,倍创效果最差。分析了3种药剂在添加不同质量浓度的6种喷雾助剂后药液的表面张力与接触角余弦值的关系,结果显示,二者呈显著(P<0.05)负相关关系。综上,合理选用喷雾助剂有助于提高农药的利用率。研究结果可为田间施药和进一步研发喷雾助剂提供数据支持。     

Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

ABSTRACT

Aims: To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers.

Methods: A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined.

Results: Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p?<?0.001) and were lowest for breeder enterprises. The greatest risk for layer and broiler enterprises was from the potential movement of employees between sheds, and for breeder enterprises was the on- and off-farm movement of goods and services. Median biosecurity scores also differed between production types (p?<?0.001), and were highest for breeder and broiler enterprises. Across all sectors there was no statistical correlation between biosecurity scores and disease risk scores. Producers showed a high level of concern over effectively managing biosecurity measures.

Conclusions: The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.     

Growing Degree Day: Noninvasive Remotely Sensed Method to Monitor Diet Crude Protein in Free-Ranging Cattle

The daily nutritional balance of free-ranging cattle is the net result of intake from available forage biomass and nutritive value weighed against the nutritional requirements of the animal. Plant phenology influences nutritive value. Plant phenology is dictated by time of year and an accumulation of photosynthetically active days. Growing degree day (GDD) is a concept that quantifies this relationship and has been used to predict nutritive value in perennial range grasses. GDD could be substituted for chemical analysis to inform grazing animal nutritional monitoring efforts. We hypothesized that in C4 grass-dominated rangelands, a cumulative GDD calculation would correlate with diet crude protein (CP) predictions obtained by fecal near infrared spectroscopy (FNIRS) from free-ranging cattle. Therefore, the objectives of our research were to evaluate the effectiveness of GDD to predict FNIRS-derived determinations of grazing cattle diet CP in 1) two groups of three individual animals grazing a small native pasture and 2) large commercial-scale herds grazing expansive rangelands. For the first objective, cumulative GDD and FNIRS-predicted diet CP were strongly correlated (r² = 0.76; P < 0.01). Relationships between cumulative GDD and FNIRS-predicted diet CP for the second objective varied considerably among ranches, ranging from a low r² of 0.05 (P = 0.871) to a high r² of 0.78 (P < 0.049). Similar values for individual ranch/year combinations were stronger; ranging from a minimum r² of 0.44 (P = 0.556) to a maximum of 0.95 (P = 0.051). The aggregate relationship between GDD and FNIRS-predicted CP for all ranch/year combinations was highly significant (r² = 0.37; P < 0.001), but the standard error was 1.86% CP. The noninvasive remotely sensed grazing animal nutritional monitoring method described here was accurate enough to inform tactical rangeland diet quality assessments but was not accurate enough to inform operational-scale grazing management decisions.     

甜菜种子活力的测定——基于近红外高光谱技术

为保证田间甜菜种子的出苗率和生产潜力,需要在种植前对种子进行活力检测,挑选出活力高的甜菜种子进行推广种植。利用高温处理法对甜菜种子进行老化处理,再基于标准正态变换(SNV)、去趋势校正(DET)、Savitzky-Golay平滑处理(SG)、一阶差分(1D)和二阶差分(2D)5种近红外高光谱预处理方法,构建种子活力智能检测模型得出预测的种子发芽率,再利用老化处理后的甜菜种子进行发芽实验得出实际的发芽率。研究发现,甜菜种子经过一阶差分预处理建立的智能检测模型预测性能最好,其预测准确率达到91.92%。将未处理的甜菜种子的实际发芽率与一阶差分预处理法建立的智能模型预测结果进行对比,发现模型的预测准确率为88.2%。近红外高光谱技术是一种快速、无损的作物种子活力测定的新方法。     

农田残膜机械回收膜土分离模型的建立与仿真试验

为明确农田残膜机械回收过程中膜土分离机理，基于土壤接触理论及土壤黏附力学，建立残膜与土壤颗粒的接触模型和残膜与土壤颗粒间黏结合力变化的数学模型。利用EDEM软件，进行0.01、0.02、0.03 mm厚度残膜与黏附土壤剥离剪切仿真试验。拟合结果表明，0.01、0.02、0.03 mm残膜厚度下，膜土分离剪切力与剥离剪切位移均呈三次方关系，决定系数分别为0.805 9、0.872 2、0.878 4；对台架验证试验结果进行拟合，决定系数分别0.793 2、0.854 8、0.869 0，相对误差最大值为13.77%。     

10种中草药提取物对棉铃虫、绿盲蝽触杀活性研究

棉铃虫Helicoverpa armigera和绿盲蝽Apolygus lucorum是两种重要的经济作物害虫。为寻找一种安全高效的防治新手段,本文对10种中草药提取物触杀活性开展了研究。结果表明,在10种中草药提取物中,苦杏仁杀虫活性最高,药后7 d棉铃虫、绿盲蝽校正死亡率分别为65.4%和100%。发现苦杏仁粗提物经不同溶剂萃取后发现,氯仿萃取时析出物对绿盲蝽触杀活性最高,药后7 d校正死亡率可达96.9%。硅胶柱分离结果表明,流分L36-48具有较高的触杀活性,药后7 d校正死亡率为84.7%。本研究评价了10种中草药提取物对棉铃虫和绿盲蝽的触杀活性,并对苦杏仁有效成分开展了初步的分离鉴定,以期为两种害虫高效安全的新型药剂开发提供理论基础。