“试验设计与数据处理”教学改革探讨——基于本科生毕业论文常见问题的分析

“试验设计与数据处理”是食品类专业的一门重要课程。在分析毕业论文存在问题的基础上,找出这些问题存在的原因并寻求解决办法,为提高“试验设计与数据处理”课程的教学质量和教学效果提供参考和依据。     

Barriers to Open Government Data (OGD) initiative in Tanzania: Stakeholders’ perspectives

Open Government Data (OGD) initiatives are picking up across the globe with their emphasis upon the tenets of transparency, collaboration, and participation. While much of the research has remained confined at unraveling the theoretical and conceptual dimensions of OGD, empirical investigations are visibly lacking, especially in the African context. Using a qualitative research methodology, we analyze the responses received from relevant stakeholders—representatives from public and private sector—regarding their views about the OGD initiative in Tanzania. Our findings show that the OGD initiative in Tanzania is in an emerging stage and there are barriers (organizational, social, legal, and technical) toward instituting a robust OGD initiative in the country. Further, we find that there is inertia among the government departments in terms of publishing data sets. Our findings provide a sounding board for further research on the sustainability of OGD initiatives in Tanzania and the other African countries, by and large.     

减氮配施有机肥对滴灌春小麦花后同化物转运和籽粒灌浆特性的影响

【目的】研究减氮条件下新疆滴灌小麦高产高效的调控途径,分析滴灌春小麦花后同化物转运和籽粒灌浆特性的调控效应,为新疆滴灌春小麦的高产优质栽培提供科学依据。【方法】设置不同减氮配施有机肥处理,采用裂区设计,氮素为主区,品种为副区;于2019年在田间滴灌条件下设置7种减氮配施有机肥水平(N_CK、N₅、N₁₀、N₁₅、N₂₀、N₂₅、N₀),比较分析不同减氮配施有机肥处理条件下,强筋小麦新春38号和中筋小麦新春49号的花后同化物转运及籽粒灌浆特性的变化。【结果】在灌浆期内,花后干物质(茎、叶)随灌浆期推进呈先升后降趋势,峰值出现在花后14 d,而穗干物质则呈逐渐增大的变化。随减氮配施有机肥程度增加,2个品种的花后干物质积累、花后干物质转移率、花后贡献率、粒重及灌浆各参数均呈现先增后减的趋势,在N₁₅处理下各指标均达到最优值,N₁₅>N₂₀>N₂₅>N₁₀>N₅>N_CK>N₀。2个品种的快速累积持续时间(t₂~t₁)、平均灌浆速率(V_mean)、最大灌浆速率(V_max)与粒重间均存在显著关系,且平均灌浆速率与粒重间的直接效应最大,2个品种的直接通径系数为1.034 7和0.957 3。在N₁₅处理下, V_mean相比其它处理分别增长了1.92%～30.58%(新春38号),1.02%～27.93%(新春49号)。【结论】在减氮配施有机肥处理下,以N₁₅处理(85%N+15%有机肥)的花后干物质积累量、花后转运率及贡献率最高,籽粒粒重最高,与之相关的灌浆各参数表现最优,即N₁₅处理为最优配比组合。     

一种新型卷积神经网络植物叶片识别方法

为提高植物叶片识别的准确率及减少计算代价,在Pytorch框架下提出一种融合了深度卷积生成式对抗网络(DCGAN)和迁移学习(TL)的新型卷积神经网络叶片识别方法。首先,对植物叶片图像进行预处理,通过DCGAN对样本数据库扩充;其次,利用迁移学习将Inception v3模型应用于图像数据处理上,以提高植物叶片识别的准确率;最后,通过对比实验对该方法的有效性进行验证。结果表明:该方法可以获得96.57%的植物叶片识别精度,同时参数训练的迭代次数由4000次缩短到560次。     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.     

Changes in photosynthesis,growth, and sugar content of commercial sugarcane cultivars and Erianthus under flood conditions

Sugarcane (Saccharum spp.) is an economical crop in the tropical and subtropical countries. However, because of global climate change, flooding has become problematic, particularly during the rainy season, in Thailand. We investigated the effects of floods on three commercial sugarcane cultivars, namely NiF8, U-thong 6 (UT6), and U-thong 9 (UT9), as well as Erianthus spp. Growth was assessed using a pot experiment in a glasshouse with two treatments: (1) control and (2) 60 d of flooding followed by 30 d of normal conditions. In comparison with control, during prolonged flooding, Erianthus showed greatly decreased CO₂ assimilation, whereas NiF8, UT6, and UT9 showed slightly declined CO₂ assimilation. Growth in plants subjected to 60 d of flooding was less influenced by floods while sucrose content was not affected except in UT6. During flooding, some roots died, resulting in plants compensating adventitious roots to offset the negative effects of root death and to assist them in maintaining their growth, which appeared from the submerged nodes, with different characteristics for each cultivar. However, 30 d after draining, roots remained damaged, while adventitious roots died, resulting in lesser growth as compared with the control, but it did not significantly affect sucrose content and sugar yield. This study suggests that sugarcane plants need to produce the adventitious roots to compensate their roots’ death during flooding and require time to recover their root system after flooding for obtaining the optimum yield and quality at harvest.     

大数据背景下的信息化育种

信息化是育种的主流趋势和必然选择。为促进作物育种信息化建设,从种质资源管理、数据采集、系谱分析、试验设计、参试进程管理、遗传解析和生理学解析、品种产业化推广等方面探讨了大数据背景下信息化在育种中的应用。指出了信息化育种实施步骤和要点,以河南省新乡市农业科学院为例,规划了软件应用、科研管理、人才培养、硬件更新、信息共享等实施信息化育种的重点步骤。认为信息化育种存在的主要问题有不被育种家广泛接受、技术有待完善和数据共享存在障碍等3个方面,并展望了其应用前景。     

赤霉素和磷肥配合施用对胡麻光合酶活性及其产量形成的影响

为探究赤霉素和磷肥配合施用对胡麻叶片光合酶活性以及籽粒产量的影响,以‘轮选2号’为材料,采用田间二因素裂区试验设计,研究了不同磷肥用量水平(P₀:0 kg·hm^-2 P₂O₅,P₁:67.5 kg·hm^-2 P₂O₅,P₂:135 kg·hm^-2 P₂O₅)和赤霉素(Gibberellin acid, GA₃)喷施浓度(G₀:0 mg L^-1,G₁:15 mg·L^-1,G₂:30 mg·L^-1)对胡麻光合同化酶活性、干物质积累量及籽粒产量的影响。结果表明：施磷和喷施赤霉素均显著提高了胡麻叶片RuBP(Ribulose-1,5-bisphosphate)、PEP(Phospho...     

基于物联网的国家兽药追溯系统的建设与应用

介绍了基于物联网的国家兽药追溯系统的内容和建设历程,概述了国家兽药追溯系统的试点应用和全面应用的情况以及特点和成效,分析了国家兽药追溯系统的制约因素和对策,并对国家兽药追溯系统的数据应用前景予以展望,以期为"互联网+兽药"的实现和兽药行业大数据的应用奠定扎实的基础。