Analysis of horse movements from non-commercial horse properties in New Zealand

AIMS: To investigate property-level factors associated with the movement of horses from non-commercial horse properties, including the size and location of the property, number and reason for keeping horses.

METHODS: Using a cross-sectional survey 2,912 questionnaires were posted to randomly selected non-commercial horse properties listed in a rural property database. The survey collected information about the number of horses, and reasons for keeping horses on the property, and any movement of horses in the previous 12 months. Three property-level outcomes were investigated; the movement status of the property, the frequency of movement events, and the median distance travelled from a property. Associations were examined using logistic regression and Kruskal-Wallis analysis of variance.

RESULTS: In total 62.0% (488/791) of respondents reported at least one movement event in the year prior to the survey, for a total of 22,050 movement events. The number of movement events from a property varied significantly by the number of horses on the property (p<0.02), while the median distance travelled per property varied significantly by both region (p<0.03) and property size (p<0.01). Region, property size, the number of horses kept, and keeping horses for competition, recreation, racing or as pets were all significantly associated with movement status in the multivariable analyses (p<0.001).

CONCLUSION AND CLINICAL RELEVANCE: This study showed that there are characteristics of non-commercial horse properties that influence movement behaviour. During an exotic disease outbreak the ability to identify properties with these characteristics for targeted control will enhance the effectiveness of control measures.     

气候变化适应及其影响因素研究——山东胶州湾地区居民的实证分析

为探索气候变化感知在适应决策过程中的作用机理,本研究以深度访谈数据为基础,基于“感知－适应”分析框架,采用二元Probit模型和泊松回归模型,分析胶州湾地区居民气候变化适应决策和适应选择的影响因素。研究表明,胶州湾地区绝大多数居民已经感知到气候变化,半数以上居民采取了一定的适应措施,大多数居民对适应措施效果的感到满意。居民采取适应措施介于0-4项,平均为1.07项,适应措施的普及率和多样化仍有提升空间。影响胶州湾地区居民气候变化适应决策与适应选择的主要因素存在一定差异性,但“居民对气候变化的感知”不论是对适应决策还是对适应选择的影响都较大,其中又以“对降水变化的感知”和“对气象灾害损失的感知”最为显著。     

鸡蛋蛋壳裂纹敲击振动功率谱信号特征参数筛选和分析

运用自行研制的禽蛋裂纹检测装置,可以采集并分析敲击鸡蛋产生的响应信号,检测裂纹蛋。提取敲击响应信号功率谱的10个特征参数,并采用逐步回归法和遗传算法进行优化和筛选,以期选取更有效的特征参数,提高模型检测精度。结果表明,遗传算法筛选结果明显优于逐步回归法。当采用遗传算法筛选的4个特征参数(功率谱信号的第1共振峰对应的频率点、第1共振峰的功率谱与其前4个频率功率谱的方差、前3个共振峰功率谱方差、中低频段功率谱能量比)作为判别模型的输入向量,模型能取得最优结果,预测集判别率可达到97.2%。     

关于光谱反射率和小麦叶面指数之间关系的研究

根据理论分析作出了小麦叶片7种角度分布情况下的光谱植被指数和吸收的光合辐射曲线以及叶面指数和吸收的光合辐射曲线。由实测的小麦光谱反射率数据计算出光谱植被指数,再使用这二套理论曲线可求出小麦的叶面指数。还作出了叶片7种角度分布下,小麦叶面指数计算值和测量值之间的线性回归方程,得出小麦叶片倾角为70°的分布和使用 ND 光谱指数具有最好的结果。     

大白菜根肿病抗性与橘红心性状的遗传关系

以育成的黄心抗根肿病直筒叠抱型大白菜CR9112A和CR9112B为母本,直筒舒心橘红心大白菜龙园红1号JH-1自交系为父本,分别完成F1、F2及BC1F1各世代。验证龙园红1号橘红心性状的遗传规律,探究根肿病抗性与橘红心性状之间的遗传关系。抗性和花色鉴定结果表明：根肿病抗性与橘红心性状之间无连锁关系,二者表现为独立遗传。龙园红1号JH-1的基因型为msmsrrhh。提出了转育抗根肿病橘红心大白菜的遗传模式,以期获得经济性状优良的抗根肿病橘红心材料。     

生物柴油冷滤点与其化学组成的定量关系

生物柴油的低温流动性主要取决于化学组成。为了量化表征生物柴油组成与其冷滤点的关系,采用气相色谱-质谱与冷滤点分析技术和多元线性回归分析方法,分析了生物柴油的脂肪酸甲酯组成和冷滤点,研究了脂肪酸甲酯组成对冷滤点的影响规律。研究表明：生物柴油主要由14～24个偶数碳原子组成的长链脂肪酸甲酯组成,其中饱和脂肪酸甲酯主要为C14:0～C24:0,不饱和脂肪酸甲酯主要为C16:1～C22:1、C18:2～C20:2和C18:3。120种生物柴油油样中,乌桕梓油生物柴油的冷滤点最低,为-14℃,花生油生物柴油的冷滤点最高,为13℃。生物柴油的脂肪酸甲酯的含量与分布不同,冷滤点差异较大。冷滤点随饱和脂肪酸甲酯含量的增加呈线性升高,且碳链长的较短的增加显著;随不饱和脂肪酸甲酯含量的增加而呈线性降低,且不饱和度高的较低的降低略明显。建立了线性相关性非常显著（R=0.971）的基于组成的冷滤点预测模型。研究结果为不同环境下生物柴油的推广应用提供参考。     

Ordinal regression models for predicting deoxynivalenol in winter wheat

Deoxynivalenol (DON) is one of the most prevalent toxins in Fusarium‐infected wheat samples. Accurate forecasting systems that predict the presence of DON are useful to underpin decision making on the application of fungicides, to identify fields under risk, and to help minimize the risk of food and feed contamination with DON. To this end, existing forecasting systems often adopt statistical regression models, in which attempts are made to predict DON values as a continuous variable. In contrast, this paper advocates the use of ordinal regression models for the prediction of DON values, by defining thresholds for converting continuous DON values into a fixed number of well‐chosen risk classes. Objective criteria for selecting these thresholds in a meaningful way are proposed. The resulting approach was evaluated on a sizeable field experiment in Belgium, for which measurements of DON values and various types of predictor variables were collected at 18 locations during 2002–2011. The results demonstrate that modelling and evaluating DON values on an ordinal scale leads to a more accurate and more easily interpreted predictive performance. Compared to traditional regression models, an improvement could be observed for support vector ordinal regression models and proportional odds models.     

紫薇花器官发育调控基因LiFUL1的分离与表达分析

紫薇湘韵具有只开花不结实的特性,表现为花药不开裂、花粉败育、胚珠发育异常。紫薇红叶为普通紫薇,可正常开花结实。以紫薇湘韵为试验材料,采用RT-PCR方法,从花芽中分离得到1个FRUITFULL(FUL)同源基因,命名为LiFUL1(GenBank登录号为MN894547)。序列分析结果表明,其cDNA开放阅读框长度为753 bp,编码251个氨基酸,分子质量为28.453 13 ku。序列比对和保守结构域分析结果表明,LiFUL1基因编码蛋白具有典型的MADS-MEF2和K-box结构域,C末端含有一个保守性高的基序euFUL MOTIF,因此,LiFUL1属于MADS家族的FUL/AP1亚家族。进化分析表明,紫薇的LiFUL1基因编码的蛋白氨基酸序列与木本植物蓝桉的FUL/AP1氨基酸序列亲缘关系最近。qRT-PCR分析结果表明,LiFUL1基因在紫薇湘韵花器官分化阶段的花萼分化时期、花瓣与雄蕊分化时期、雄蕊与雌蕊分化时期的表达量显著高于紫薇红叶。另外,利用原核表达系统在大肠埃希菌中成功表达了LiFUL1蛋白,为进一步研究LiFUL1基因的功能奠定了基础。     

基于挤压模拟试验的苜蓿草颗粒成型工艺参数优化

为了确定最佳的苜蓿草颗粒产品制粒成型工艺,以苜蓿草粉为制粒物料,通过环模制粒过程的模拟试验,利用二次回归正交旋转试验设计,探讨了制粒密度与挤出力、物料含水率、草粉粒度的关系,建立了各因素与制粒密度之间的数学模型。试验数据分析显示：建立的回归方程显著;3个因子对制粒密度影响大小顺序为挤出力、含水率、草粉粒度;通过方程模拟选优得出模拟试验条件下的最优参数组合为：挤出力5.47?kN、含水率16.96%、草粉粒度6.34?mm,即制粒密度为最大值1.241?g/cm3。该研究可为提高草颗粒及其它颗粒物料产品的质量提供指导。     

家禽诊疗文本多实体关系联合抽取模型研究

针对传统实体关系抽取方法中主体特征与句向量难以有效融合、现有BIO标注策略难以有效处理重叠关系的问题,提出一种基于BERT和双重指针标注的家禽疾病诊疗文本实体关系联合抽取模型(Joint extraction of entity relationship of poultry disease diagnosis and...