甘肃省草原产草量动态监测模型

利用MODIS数据和地面实测资料,研究了甘肃省不同草原区的最适草原生物量遥感估算模型,并反演了甘肃省2005-2009年的草原产草量,分析了其空间分布特征.结果表明,不同草原区适合的植被指数和反演模型类型存异,其中河西走廊高平原荒漠草原区适合的植被指数是RVI、模型类型为对数模型,甘南高原草甸草原区适合的植被指数是EVI、模型类型为指数模型,而黄土高原温性草原区适合的植被指数是NDVI、模型类型为二次多项式模型.甘肃省2009年草原总产鲜草3 718.30万t,整体呈现东北低、西南高的空间变化过程,形成3个高产中心,分别是甘南高原、祁连山北麓中东段和陇南南部.与1985年相比,2005年草原明显减产(相对变化率V=19.34％),但2005-2009年间甘肃省草原产草量有总体上升的趋势.     

Preparation of Atherosclerosis Model Using Guangxi Bama Mini-pig

The atherosclerosis (AS) model was prepared in Guangxi Bama mini-pig,and the atherosclerosis index (AI) was preliminarily identified in occurrence of AS to provide the basis for the preparation of related models.20 Guangxi Bama mini-pigs were randomly divided into control group and experimental group which were fed with high fat and cholesterol diet to prepare the AS model.Blood biochemical indexes were detected in the process of model preparation and the correlation between AI and the results of vascular slices was analyzed to initially draw up AI of AS.The results of vascular slices showed that the incidence rates of AS of Guangxi Bama mini-pigs in experimental group and control group were 20% and 0,respectively.The association analysis between the results of vascular slices and AI in the pathogenic Guangxi Bama mini-pigs preliminarily suggested that AI was above 3.8 and lasted for more than 3 months during the attack.     

基于熵算法的股票指数高频数据复杂度测算与评价

在日内高频环境下检验基于兼容法的柯尔莫哥洛夫熵、样本熵和模糊熵等复杂度测算方法对我国沪深300股票指数的测算效率，并运用筛选后的有效算法分阶段研究和比较了序列复杂度的变化过程与变化幅度.结果表明，模糊熵算法是一种更适用于我国沪深300股票指数的有效复杂度测算方法，其对相似容忍度的敏感性更低，测度值连续性更好.随时间推移，我国沪深300股票指数复杂度整体呈上升趋势,而相较于发达市场甚至周边新兴市场其复杂度偏低.     

苗期甘蔗氮高效基因型评价指标的筛选

本研究通过低氮压力选择,筛选出甘蔗氮高效种质,分析影响甘蔗氮高效的重要指标,为甘蔗氮高效育种及栽培提供理论依据。以58份甘蔗种质资源为材料,在苗期采用正常供氮（2 mmol/L N）和低氮（0.2 mmol/L N）处理,分析甘蔗植株形态、干重及氮素在各器官中累积分配的特征。通过主成分分析方法筛选影响甘蔗氮高效利用的重要指标,通过聚类分析对58份种质进行聚类。结果表明,低氮（0.2 mmol/L N）处理可以明显从植物形态区分不同种质的氮利用差异,58份种质低氮条件下的干重范围为0.64~14.75 g/株,氮累积量为5.53~63.00 mg/株,氮利用率范围为115.40~279.30 g/g。对低氮压力下甘蔗干重及氮累积等25个指标进行主成分分析后,提取出4个主要成分,总贡献率为92.35%。通过高、低氮条件下与氮利用效率有关的氮转移系数及基因潜力等19个指标分析后提取出5个主成分,总贡献率为82.21%。影响甘蔗氮高效的重要指标有甘蔗的干重（全株、叶、根）、氮累积量（全株、叶、茎）、氮利用率（全株、叶）、叶的相对氮利用率、茎的基因潜力、茎的相对干物质量和茎的相对氮累积量。经聚类分析后初步将58份甘蔗种质分为氮高效基因型、偏氮高效基因型、偏氮低效基因型和氮低效基因型。     

建设用地集约利用评价指标的权重确定方法研究

基于建设用地集约利用评价指标,应用文献统计法和综合分析法,阐述了中国建设用地及建设用地集约利用评价指标权重赋权方法的现状,着重研究了各种权重确定方法在建设用地集约评价中的实践应用,并对其进行总结和讨论,探讨了建设用地集约利用评价指标权重确定方法的发展趋势.     

玉米自交系耐荫性鉴定与评价

以41个玉米自交系为材料,采用大田试验方法,在植株形态建成期设置15%遮荫和不遮荫两种处理方式,研究不同处理下玉米自交系植株形态、物质生产、产量等11个指标以及各指标耐荫系数的变化,并对自交系的耐荫性进行评价。结果表明,遮荫不仅会增加玉米自交系的株高和穗位高,延缓生育进程,而且会降低植株叶面积指数及叶绿素含量,最终影响玉米物质积累及产量的提升。进一步对各指标的耐荫性进行数学统计分析,表明茎干物质、叶面积指数和产量的耐荫系数可作为评价玉米自交系耐荫性指标。筛选出M173、豫82、DH382、618B、P6874、昌7-2、8612A、M753、ZY608、豫1122、PH6WC和M109高度耐荫型玉米自交系;ZY602、ZY606、658、HT60、ZY601、C70、外引-2、四-144、KW7M14、NS501和PH4CV是弱光敏感型玉米自交系。     

复方中草药添加剂对稻鸭共作模式下成都麻鸭生理效应的影响研究

为研究复方中草药添加剂对稻鸭共作模式下成都麻鸭生长性能、血清生化指标、抗氧化指标及免疫指标的影响,试验选取体重相近、体况健康的15日龄成都麻鸭240只,随机分为4组,每组5个重复,每个重复12只。4组为对照组饲喂基础饲粮;试验1、2、3组在基础饲粮中按照质量比分别添加0.5%(低剂量组)、1%(中剂量组)、2%(高剂量组)的复方中草药,试验期90 d。结果显示:(1)试验1、2、3组的平均日增重分别较对照组提高2.19%、4.34%、4.98%(P<0.05);试验2、3组的料重比分别较对照组降低3.37%、3.63%(P<0.05);(2)试验2组和3组的总蛋白(TP)分别较对照组提高4.20%、6.08%(P<0.05);试验2组和3组的尿素氮(BUN)分别较对照组降低12.72%、16.36%(P<0.05);试验2组和3组的谷草转氨酶(ALT)分别较对照组降低15.84%、19.22%(P<0.05);试验3组的谷丙转氨酶(AST)较对照组降低19.34%(P<0.05);(3)试验2组和3组超氧化物歧化酶(SOD)分别较对照组提高15.80%、20.00%(P<0.05);试验3组的总抗氧化能力(T-AOC)较对照组提高22.37%(P<0.05);(4)三个试验组的IgA、IgM、IgG、IFN-γ、IL-2显著高于对照组(P<0.05),试验2组的肿瘤坏死因子-α(TNF-α)较对照组提高10.06%(P<0.05),试验2组和3的组溶菌酶(LZM)分别较对照组提高6.79%、5.66%(P<0.05)。综上,中草药添加剂能有效提高稻鸭共作模式下成都麻鸭的生长性能、血清生化指标、抗氧化指标及免疫指标,本试验条件下,最佳饲喂剂量为1%。     

基于农作制分区的1985—2015年中国小麦生产时空变化

Comparing spatio-temporal variation characteristics of China’s wheat production, yield, sown area and yield-area-contribution in different farming zones in the past 30 years could help improving wheat planting layout and adjusting planting structure. Concentration index, rate of change, moving of gravity and resolution of yield-area-contribution were used to analyze spatio-temporal changes of China’s wheat production and yield-area-contribution based on county wheat production statistics including sown area, production and yield from 1985 to 2015. The wheat sown area decreased obviously in Northeast farming region, Northwest farming region and South farming region and increased rapidly in Huang-Huai-Hai farming region and Yangtze Plain farming region. In Huang-Huai-Hai farming region, the concentration indexes of Haihe Plain farming region, Huang-huai Plain farming region and Fenwei Basin farming region reached to 20.64%, 25.77%, and 21.65% respectively in 2015. Wheat production increased significantly by more than 48 milliontons in Huang-Huai-Hai farming region, and nearly 8 million tons Yangtze Plain farming region but decreased by more than 2.6 million tons in Northeast farming region. In Huang-Huai-Hai farming region, wheat production was concentrated in Haihe Plain farming region, Huang-huai Plain farming region and Yuxi Hill farming region. The average wheat yield continuously improved during the study period, Huang-Huai-Hai farming region and Northwest farming region had the yield increase up to 103.5 kg hm ^-2 and 92.9 kg hm ^-2 each year. Wheat yield in Yuxi Hill farming region, Fenwei Basin farming region and Haihe Plain farming region was relatively high in Huang-Huai-Hai farming region. The yield-reduced area was mainly caused by the decreasing of sown area, while the yield-area-contribution rate was different in yield-increased area. Yield-dominant counties were reduced, area-dominant counties were increased and yield-area-dominant counties were relatively steady. In production increased area, yield-dominant and yield-area-dominant counties were the main types in Huang-Huai-Hai Farming region, area-dominant and yield-area-dominant counties were the main types in Yangtze Plain farming region. Chinese wheat production was increasingly concentrated in Huang-Huai-Hai farming region which has high and rapid increase of wheat yield over the past three decades. Haihe Plain farming region, Huang-huai Plain farming region and Fenwei Basin farming region were the most concentrated areas in Huang-Huai-Hai farming region for wheat production during this period. Wheat yield and sown area jointly promoted the increase of wheat production in Huang-Huai-Hai farming region, wheat sown area was the crucial factor to increase wheat production in Yangtze Plain farming region, especially in the north of Jiangsu, Anhui province and greater part of Xinjiang.     

基于条件植被温度指数的夏玉米生长季干旱预测研究

为验证条件植被温度指数(VTCI)在夏玉米生长季干旱预测中的适用性,以河北中部平原为研究区,应用求和自回归移动平均(ARIMA)模型及季节性求和自回归移动平均(SARIMA)模型,对该地区VTCI时间序列数据进行分析建模预测。首先基于49个气象站点所在像素的VTCI时间序列数据,选取不同长度时间序列建立ARIMA模型,并分析时间序列长度与预测精度间关系,以期为时间序列长度选择提供依据;然后选择理想长度的VTCI时间序列数据,分别建立ARIMA模型和SARIMA模型,用于研究区域2017年夏玉米生长季VTCI预测,并分析评价两模型预测精度;最后采用性能较好的ARIMA模型逐像素建模预测,得到2016-2018年9月上旬至下旬VTCI预测结果。结果表明:基于ARIMA模型的VTCI预测精度与时间序列长度未呈现明显的相关关系,但随时间序列长度增加,模型预测精度逐渐趋于稳定;ARIMA模型对干旱的预测精度高于基于SARIMA模型,其1步、2步、3步VTCI预测结果均方根误差较SARIMA模型分别降低0. 06、0. 07、0. 09;ARIMA模型在不同年份夏玉米生长季VTCI1~3步的预测精度稳定性较好,2016-2018年1步、2步和3步VTCI预测结果绝对误差绝对值大于0. 20的像素平均百分比分别为5. 84%、6. 38%、8. 72%。     

Analysis and Assessment on Heavy Metal Contamination in Cotton Seeds of Hunan Province

[Objective] In order to guarantee the quality and safety of cotton products and to explore the feasibility of alternative planting, the contamination condition of the heavy metals in cotton seeds in Hunan province was investigated and evaluated. [Method] Fifty-six cotton seed samples, collected in 6 counties of Hunan province, were collected to determine 6 indicators including cadmium, lead, copper, chromium, mercury and inorganic arsenic contents. This was followed by pollution index calculation, correlation analysis, and cluster analysis. [Results] The range of comprehensive pollution indexes of Junshan district, Anxiang county, Nanxian county, Wangcheng and Dingcheng districts varied between 0.366 5–0.577 0, which belonged to a secure level. However, the single pollution indexes of Hengyang county are relatively high. The comprehensive pollution index of Hengyang county was 0.801 6, meaning a mild pollution level. [Conclusion] The pollution status of cadmium, lead, copper, chromium, mercury and arsenic in Hunan cottonseed samples are generally acceptable. Cotton could be a substitute for rice on contaminated soil.