应用积分GM(1,1)模型进行杉木炭疽病预测预报的研究

以积分生成代替传统的累加生成方法 ,并用双向差分建立积分GM (1,1)灰色预测模型进行杉木炭疽病预测预报的研究 ,结果表明积分GM (1,1)模型能较好地预测杉木炭疽病在三明市的发生     

湖南省粮食产量波动的影响因素分析及预测

旨在维护国家稳定,为预判粮食生产前景、提高粮食生产效率、保障粮食安全提供理论依据。利用湖南省统计数据,运用灰色关联分析法筛选关联性较强的影响因素,并建立GM(1,N)预测模型预测粮食产量。2008—2017年与湖南省粮食产量关联度最大的影响因素是粮食作物播种面积和农业机械总动力;科技因素是影响2008—2017年湖南省粮食产量的主要因素,其次是自然因素,社会因素;2018—2027年湖南省粮食产量有较小波动,且农业机械总动力和财政农业支出影响较大;农业机械总动力在前后十年对粮食产量都有较重要的影响,越来越占据主导地位。粮食产量受国家政策的影响,受农业机械总动力影响最大,维持产量水平需高度重视农业机械化水平,稳步提高粮食作物播种面积。     

基于改进GM(1,N)模型的我国大豆价格影响因素分析及预测研究

大豆是我国重要的粮食作物和油料作物,其价格对于国民经济尤其是农业经济的影响意义深远。大豆价格的稳定对于我国大豆市场的健康发展有着重要的现实意义。在灰色理论的基础上,提出了一种改进GM(1,N)大豆价格预测模型,首先运用灰色关联分析法对我国大豆价格的影响因素进行分析,选择主要的影响因素;再将这些影响因素作为模型的相关因素变量,构建GM(1,N)大豆价格预测模型。采用2010-2015年的大豆数据进行实证研究,模型选取国内大豆自给量、世界大豆产量、国民消费价格指数、消费者信心指数4个变量作为相关因素变量;模型预测误差为2.10%,预测精度较高,能够较好地掌握大豆价格的变化规律,可以为大豆价格市场预测及国家宏观政策的制定提供理论指导。     

Evaluation the effect of subchronic feeding of transgenic cotton line (CKC1) on the faecal microbiota of albino rabbits

Recent studies have demonstrated a strong relationship between the intestinal microbiota and the host health. As such, consumers are increasingly becoming more concerned about the potential effect of certain foods/feeds, particularly of transgenic origin on the gut microbiota. Although the European Food Safety Authority has recommended in their guidelines, to study the effect of transgenic food/feed on host-microbiota, yet, few studies have focused on the evaluation of such effects mainly due to culturing difficulties. Therefore, this study was intended to evaluate the potential adverse effects of transgenic diet consumption on some specific gut microflora (Lactobacillus group, Bifidobacterium genus, Escherichia coli subgroup and Enterococcus genus) of rabbits. A total of forty-eight rabbits were randomly assigned into four groups and fed a diet containing a variable proportion of transgenic cottonseeds at 0, 20, 30 and 40% inclusion level, respectively. Changes in the specific or total faecal bacterial population were monitored at five different experimental stages (i.e. 0, 45, 90, 135 and 180 days) using both the traditional plate count method (TM) and quantitative real-time PCR (qPCR). No significant differences (p > .05) were observed concerning numbers of specific bacteria or total bacteria between the control and experimental groups, though qPCR showed numerically higher values in terms of 16S rRNA gene copies as compared to the values obtained from TM. However, such numerical differences were biologically insignificant (p > .05). Similarly, no significant variations were noticed in the calculated B/E (log₁₀ copies of Bifidobacterium per g faces/log10 copies of E. coli genome per g faeces) ratios in all the groups. All the ratios were in the range of 1.24 to 1.30 throughout the experiment, indicating a good balance of intestinal microflora and greater resistance to intestinal disorders. It is therefore concluded that feeding transgenic cottonseeds could not adversely affect the gut microflora of rabbits during a long-term study.     

灰色动态模型群法在河流水质预测中的应用初探

在对原始数据序列对数变换的基础上，依据灰色系统理论，构造了由6个GM（1，1）模型组成的灰色动态模型群，并用于淮河干流枯水期氨氮浓度变化趋势预测。研究表明，灰色动态模型群法能够充分利用近期水质资料信息预测水质变化趋势；相对单个GM（1，1）模型，灰色动态模型群法能有效改善随机波动数据序列的拟合效果，提高预测精度。     

安徽省耕地资源系统分析与保护对策研究

本文对安徽省耕地资源进行了系统诊断,对影响耕地数量减少因素进行灰色关联度分析,对人均耕地占有量运用GM（1,1）模型进行预测。在此基础上,提出耕地保护对策及措施。     

Water management and crop production for food security in China: A review

Food security is a high priority issue on the Chinese political agenda. China’s food security is challenged by several anthropogenic, sociopolitical and policy factors, including: population growth; urbanization and industrialization; land use changes and water scarcity; income growth and nutritional transition; and turbulence in global energy and food markets. Sustained growth in agricultural productivity and stable relations with global food suppliers are the twin anchors of food security. Shortfalls in domestic food production can take their toll on international food markets. Turbulence in global energy markets can affect food prices and supply costs, affecting food security and poverty. Policy safeguards are needed to shield food supply against such forces. China must make unremitting policy responses to address the loss of its fertile land for true progress towards the goal of national food security, by investing in infrastructure such as irrigation, drainage, storage, transport, and agricultural research and institutional reforms such as tenure security and land market liberalization. The links between water and other development-related sectors such as population, energy, food, and environment, and the interactions among them require reckoning, as they together will determine future food security and poverty reduction in China. Climate change is creating a new level of uncertainty in water governance, requiring accelerated research to avoid water-related stresses.     

吉林省耕地压力指数时空分异特征研究及其预测研究

笔者运用耕地压力指数模型和灰色系统理论GM(1,1)模型,对吉林省2003—2012 年间的耕地利用压力指数时空分异特征进行分析,并对其动态变化和未来发展趋势进行了预测。研究结果显示：随着时间的推移,加之国家放开“二胎政策”人口不断在增加,未来人口会出现增加趋势,即使在规定未来十年内人们的人均食物需求量也会不增加的基础上,最小人均耕地面积的增加幅度越来越小,以及大量耕地向建设用地转换,使得耕地压力指数有过大的趋向,而且2017—2027 年吉林省的耕地压力指数处于上升的趋向,即使耕地压力不是很明显,但仍不可忽视。过大的趋向,而且2017-2027年吉林省的耕地压力指数处于上升的趋向,即使耕地压力不是很明显,但仍不可忽视。     

灰色-马尔柯夫链预测水稻产量的方法及其应用

将灰色系统预测模型GM(1,1)与马尔柯夫链相结合,建立玉林市早稻产量预测模型。应用结果表明:(1)模型具有灰色微分动态模型的特点,反映了产量变化的灰色过程;(2)应用马尔柯夫链对该模型所产生的误差进行修正,克服了GM模型误差较大等缺点,大大提高了预测精度,(3)灰色系统理论与随机过程理论相结合,互相取长补短,为统计理论发展开创了新的路径,也为产量预测预报提供了新的方法。     

和田绿洲气温与相对湿度的GM(1,1)预测模型

利用1954—2002年的观测资料对和田地区影响蒸发能力的主要因素——平均气温与相对湿度建立了GM（1，1）模型。得到了比较满意的预测结果，对研究该地区蒸发能力的变化和中长期预测预报具有一定参考价值。