乳牛体型性状线性评定数学模型的指导和应用

本文说明了乳牛体型性状线性评定的常规方法,在此基础上推导出了该评定方法的数学模型。该模型的提出,极大地简化了常规评定方法的繁琐计算,值得在乳牛业生产实践中推广使用。     

实用饲粮补锌对肉鸡组织锌、免疫器官及生产性能的影响

采用实用饲粮（玉米－多饼型,含锌３０ｍｇ／ｋｇ）,对狄高肉鸡（４～６周龄）分别补加锌４０和８０ｍｇ／ｋｇ,研究微量元素Ｚｎ对试鸡组织锌含量、免疫器官生长发育及生产性能的影响。结果表明饲粮缺锌（含Ｚｎ３０ｍｇ／ｋｇ）不影响鸡体重、饲料转化率和心、肝、肾、胰、肌胃、脑千克活体重（Ｐ＞０．０５）,但缺锌影响脾、胸腺、法氏囊、盲肠扁桃体、免疫器官及腺胃、小肠厚度、甲状腺生长发育（Ｐ＜０．０５或Ｐ＜０．０１）;饲粮补锌（４０、８０ｍｇ／ｋｇ）能改善免疫器官机能,增加胫骨、跗骨、趾骨、肝、胰、肾、心组织锌含量（Ｐ＜０．０５或Ｐ＜０．０１）;骨、肝、胰组织对饲粮锌缺乏较敏感,趾骨锌含量是标识鸡锌营养状况的灵敏指标。     

胰岛素样生长因子Ⅰ的研究进展

胰岛素样生长因子Ⅰ（IGF-Ⅰ）是胰岛素类激素家族中的成员之一,是一种在分子结构上与胰岛素类似的多肽蛋白物质.IGF-I在人体及动物体内具有极其重要并且丰富的生物学功能,如促生长、促分化、参与糖代谢、蛋白质代谢和脂肪代谢等,并对消化系统、泌乳及生殖有一定的影响.文章就IGF-I的来源,分子结构及生物学功能作一简单概述.     

大别山板栗片热泵干燥特性及动力学模型分析

为了研究大别山板栗片热泵干燥过程和特性,建立其干燥动力学模型,并优化干燥工艺以提高干燥后的品质,以大别山板栗为研究对象进行热泵干燥动力学研究,通过对7 种常用干燥模型线性化处理,筛选适合用来描述板栗片热泵干燥特性的数学模型,并利用试验数据与模型进行回归拟合,确定并建立最适合的数学模型。结果表明：Page 模型的预测值曲线和实测值曲线高度吻合,Page模型可用来描述板栗片热泵干燥过程中水分的变化规律。研究结果可为板栗片实际生产中的热泵干燥加工提供一定参考。     

水生植物在园林景观的技术应用

水生植物具有观赏价值高、经济成本低、适用范围广等特点,对水体具有修复、净化的作用,是维持水环境的重要因素.该文通过对水生植物的使用现状、资源功能以及栽培技术措施等研究,应用于园林景观的建设,解决园林水中植物景观的需求,对现有的水生植物相关的注意事项进行梳理,为水生植物的长远发展提供理论依据.     

基于广义混合效应模型的云冷杉林天然更新计数方法研究

天然更新是森林恢复较好的办法,对未来林分结构和生物多样性具有深远的影响。更新模型能够模拟天然更新的现实和未来状况,为森林经营者提供准确的森林计划。以吉林省汪清林业局2013年设置的12块云冷杉针阔混交林为例,选择泊松和负二项分布形式,考虑样地间的随机效应,构建基于林分因子的云冷杉针阔混交林天然更新模型。结果表明：各个树种对林分因子的反应不一,白桦更新株数与林分每公顷株数和平均直径均呈负相关;红松和水曲柳更新株数不受各个林分因子的影响,更新株数是随机的;冷杉更新株数与林分每公顷断面积呈负相关;色木槭和云杉更新株数均与林分平均直径呈负相关。在考虑样地的随机截距效应后,模型的模拟效果显著提高。在构建天然更新模型时,林分密度是十分重要的因子,如果要人工促进天然更新,就要科学合理的采取经营措施,以确保合理的林分密度。另外样地间的差异是不容忽略的因素,需要利用混合效应模型方法来降低预测误差。     

Analysis of regional variation of height growth and slenderness in populations of six urban tree species using a quantile regression approach

Inventory data of six urban tree species from seven cities across Germany were used to model regional variation of height growth, allometric scaling, and slenderness over a wide range of size and age using a quantile regression approach. Variation within and between species and cities was large. Height did not reach an asymptote but declined at higher ages, presumably because of reduction cuts. Allometric scaling and slenderness varied with wind climate, modulus of elasticity, and coefficient of drag. Our data do not support the use of a threshold value of slenderness in tree risk assessment.     

应用高光谱数据定量反演查干湖水质参数研究

湖泊水质下降和富营养化问题日益严重,传统监测方法已经日益不能满足水质监测的需要。该文通过野外高光谱仪器测定查干湖水体反射光谱,分析研究水体反射光谱特征与水质参数叶绿素a含量、透明度和浊度之间的关系,运用多种半经验算法建立反演模型。结果表明:单波段光谱反射率与叶绿素a和浊度的相关系数较小,但与透明度相关系数较高;光谱反射率通过对数、比值转换,可以有效的提高叶绿素a和浊度估测模型的精度,却对透明度作用不大。总体来说,叶绿素a和浊度估测模型效果较好,透明度高光谱估测模型相对较差,需进一步研究。     

Accounting for uncertainty in pedotransfer functions in vulnerability assessments of pesticide leaching to groundwater

A simulation tool for site-specific vulnerability assessments of pesticide leaching to groundwater was developed, based on the pesticide fate and transport model MACRO, parameterized using pedotransfer functions and reasonable worst-case parameter values. The effects of uncertainty in the pedotransfer functions on simulation results were examined for 48 combinations of soils, pesticides and application timings, by sampling pedotransfer function regression errors and propagating them through the simulation model in a Monte Carlo analysis. An uncertainty factor, f(u), was derived, defined as the ratio between the concentration simulated with no errors, c(sim), and the 80th percentile concentration for the scenario. The pedotransfer function errors caused a large variation in simulation results, with f(u) ranging from 1.14 to 1440, with a median of 2.8. A non-linear relationship was found between f(u) and c(sim), which can be used to account for parameter uncertainty by correcting the simulated concentration, c(sim), to an estimated 80th percentile value. For fine-textured soils, the predictions were most sensitive to errors in the pedotransfer functions for two parameters regulating macropore flow (the saturated matrix hydraulic conductivity, K(b), and the effective diffusion pathlength, d) and two water retention function parameters (van Genuchten's N and alpha parameters). For coarse-textured soils, the model was also sensitive to errors in the exponent in the degradation water response function and the dispersivity, in addition to K(b), but showed little sensitivity to d. To reduce uncertainty in model predictions, improved pedotransfer functions for K(b), d, N and alpha would therefore be most useful.     

Insulin sensitivity and glucose dynamics during pre-weaning foal development and in response to maternal diet composition

Nutritional management of animals during pregnancy can affect glucose and insulin dynamics in the resulting offspring through influences on fetal development. Additionally, high starch feeding in mature horses is associated with reduced insulin sensitivity and an increased risk for diseases such as obesity and laminitis. However, no study has yet evaluated the effect of feeding a high starch diet to pregnant mares on glucose and insulin dynamics in their offspring. Twenty late-gestation mares maintained on pasture were provided two-thirds of digestible energy requirements from isocaloric, isonitrogenous low starch (LS, n = 10) or high starch (HS, n = 10) feed. Their foals were assessed with an insulin-modified frequently sampled intravenous glucose tolerance test at 5, 40, 80, and 160 d of age. Baseline glucose concentrations, insulin sensitivity, and insulin-independent glucose clearance in 5-d foals were all greater than values observed in mature horses and declined towards mature values as foals reached 160 d of age. Baseline glucose concentrations were all within normal range, but higher in foals born from HS mares through 80 d of age. Insulin sensitivity was not different between dietary groups until a trend for lower insulin sensitivity in HS foals emerged at 160 d of age. These data are the first to characterize decreasing insulin sensitivity and glucose tolerance in Thoroughbred foals from 5 to 160 d of age. This study also presents the first data examining glucose and insulin dynamics in developing foals in response to maternal high starch diet.