大巴山西段陕西米仓山自然保护区的植被及分布

为了系统掌握陕西米仓山自然保护区植被分布及其特点,合理有效开展资源保护工作。通过调查以及归类分析,建立了陕西米仓山自然保护区自然植被12个植被型37个群系,人工植被3个群系的植被分类系统,并对植被水平及垂直分布进行对比分析,对该区域植被分布所呈现的群落类型多样、自然性和代表性较强、过渡区的特征比较明显、植被在水平和垂直分布上存在一定差异以及植物群落的脆弱性高等特点进行了阐述。     

我国都市农业问题研究的学术影响力分析——基于1991-2012年CNKI论文数据的分析

在党和政府高度重视都市农业问题研究的同时,越来越多的学者投入到都市农业问题的研究中,学术界对于都市农业问题的研究日益升温。基于CNKI数据库1991～2012年中关于都市农业问题研究的研究文献获得有关数据,从都市农业问题研究的年代分布、研究人员分布、研究机构分布、学术影响力、学科分布5个方面进行探讨。通过数据分析得出:都市农业问题研究的优势资源主要集中在北京和东部沿海发达省市;研究机构主要集中在高等院校;都市农业问题的研究热点主要集中在农业经济研究领域。建议应加大西部地区的资源配置与研究力度,促进西部地区都市农业问题的研究。     

基于WSN的油菜生长环境数据采集系统

针对传统作物生长环境数据获取手段实时性差、劳动强度大以及部署微型自动气象站和商用Zigbee产品成本高、开放性较差等问题，设计并实现了一种基于WSN的油菜生长环境数据采集系统。提出了轻量级的能量感知路由协议CLFP，并给出了软硬件的相关设计方法。仿真和大田试验结果表明，系统温度采集精度最高可达0.01 ℃，测湿精度达±5%，光强采集范围为1~65 535 lx，可并发的数据传输达到36路，可满足农业现场环境数据的较高测量要求。在标称电源供电情况下，系统实际有效生存周期超过142 d，由于采用AT89C51和nRF2401作为基础硬件平台，成本低廉，有助于大规模部署和应用。     

基于OGSA网格技术的连锁超市进销存系统研究

本研究采用网格计算技术使进销存系统从简单的计算资源集中上升到数据共享层面，并且实现了协作处理和网络节点的高质量的服务，能极大的提高连锁超市间计算资源的效率和利用率，有效破解因计算能力差、数据来源单一或存储资源欠缺而无法解决的问题。     

Emerging issues in genomic selection

Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.     

以全产业链思维优化甘肃省“粮改饲”生产力布局

用全产业链思维优化“粮改饲”生产力布局具有重要的现实意义和理论价值。本文以甘肃省为例,总结甘肃省“粮改饲”工作已取得的工作成效和不足,论述了“粮改饲”构建全产业链的必要性,初步探讨了甘肃省“粮改饲”全产业链模式和布局优化,并提出完善相关支持政策、培育壮大龙头企业、高度重视品牌建设和创新科技带动引领4条对策建议。 [关键词]全产业链|粮改饲|生产力布局|甘肃省     

基于最小数据集的喀斯特不同利用方式下土壤质量评价

为了探究贵州喀斯特区域不同土壤利用方式对土壤质量的影响,我们对该地区的林地、人工草地、天然草地、农田、弃耕地5种土地利用方式下的土壤理化性质进行研究。基于最小数据集对该区域的土壤质量进行评价,构建的最小数据集包括：土壤pH值、容重、全盐、阳离子交换量、全氮、有效铜、有效铁等指标。结果表明：全量数据集和最小数据集获得的土壤质量均表现为林地 > 人工草地 > 天然草地 > 农田 > 弃耕地;人工草地、天然草地、农田、林地的土壤质量等级为二级,位于土壤质量分级中的"较高"水平,弃耕地土壤质量为三级,位于"中等"水平。以上结果表明,人为对自然生态系统的开垦降低了土壤的质量。     

Diel differences in blue whale (Balaenoptera musculus) dive behavior increase nighttime risk of ship strikes in northern Chilean Patagonia

The northern Chilean Patagonia region is a key feeding ground and a nursing habitat in the southern hemisphere for blue whales (Balaenoptera musculus). From 2014 to 2019, during 6 separate research cruises, the dive behavior of 28 individual blue whales was investigated using bio-logging tags (DTAGs), generating ≈190 h of data. Whales dove to significantly greater depths during the day compared to nighttime (day: 32.6 ± 18.7 m; night: 6.2 ± 2.7 m; P < 0.01). During the night, most time was spent close to the surface (86% ± 9.4%; P < 0.01) and at depths of less than 12 m. From 2016 to 2019, active acoustics (scientific echosounders) were used to record prey (euphausiids) density and distribution simultaneously with whale diving data. Tagged whales appeared to perform dives relative to the vertical migration of prey during the day. The association between diurnal prey migration and shallow nighttime dive behavior suggests that blue whales are at increased risk of ship collisions during periods of darkness since the estimated maximum ship draft of vessels operating in the region is also ≈12 m. In recent decades, northern Chilean Patagonia has seen a large increase in marine traffic due to a boom in salmon aquaculture and the passenger ship industry. Vessel strike risks for large whales are likely underestimated in this region. Results reported in this study may be valuable for policy and mitigation decisions regarding conservation of the endangered blue whale.     

基于高斯自适应拟合的苹果目标分割方法研究

苹果目标的准确识别是苹果机械化采摘需要解决的关键问题之一。为此,基于YUV颜色空间模型,提出了一种结合色差分量与高斯自适应拟合算法的苹果目标分割方法。该方法采用首先将苹果目标由RGB颜色空间转换至YUV颜色空间,并利用色差分量V建立果实与背景分割的高斯分布拟合模型,根据拟合结果自动获取分割阈值,以实现自然场景下苹果目标的准确分割。为了验证文中算法的有效性,利用多幅图像进行了试验并与Otsu自适应阈值分割算法进行了比较。试验结果表明,采用文中算法得到的苹果果实的平均检出率达87.08%,识别率领先Otsu算法9.91%。因此,对于着色度较为均匀的苹果目标,采用高斯自适应拟合方法可以有效提高其识别率。     

灰关联决策在水质面板数据处理中的扩展及应用

针对面板数据灰色关联决策分析评价问题,在经典灰色关联分析和灰色综合评价方法的基础上,构建面板数据灰色关联决策评价模型。将灰色关联决策方法扩展到面板数据分析中,解决了小样本面板数据的灰色评价分析问题。将这种方法应用于水环境面板数据质量评价中,经实例计算验证了面板数据灰色关联决策评价模型的稳定性、合理性和实用性,为水环境面板数据质量分析评价提供了可行的计算思路和方法。