Yield Stability of Winter Wheat (Triticum sp.) Cultivars and Lines

The purpose of this study was to compare responsiveness to environment as well as the stability of newly developed promising lines with traditional commercial cultivars. Subject research was conducted in Ankara between 1983-1989 on common and durum wheat cultivars and lines. Regression coefficient (b) was used as the criterion of genotypes' responsiveness to environment whereas deviation from regression (S²d) and coefficient of determination (r²) were used as stability parameters. Each experiment year was regarded as an environment and yield average of each year was used as the environmental index.
In consequence of the research, it was determined that new varieties with high yield, adaptable to diverse environments could be developed by means of hybridizations between parents having different genetic characteristics which were provided from diverse ecological regions.     

超临界增长椭圆方程组广义解的正则性

In this paper, the author proved the partial regularity of the generalized solutions of the super critical growth elliptic system. Furthermore, the everywhere regularity of generalized solutions of three special systems are obtained.     

牵引犁受力分析的解析方法

分析了牵引犁受力图解法求解所存在的问题，用解析方法建立了牵引犁受力的矩阵方程组并利用计算机进行了求解，预测了各结构参数变化对机组受力工况的影响，从而为牵引犁机组的合理配置和各部件结构的强度计算和优化设计提供了理论依据。     

北京八达岭人工油松林地表枯死可燃物负荷量研究

地表枯死可燃物负荷量多少是森林火灾发生的基础。调查八达岭林场不同地形条件下油松林地表枯死可燃物和林分因子,取得42块样地资料;用线性相关分析法对各因子与地表枯死可燃物负荷量进行分析,平均树高、坡度和海拔与对应负荷量有显著线性关系;应用多元线性回归中的逐步回归剔除法,建立了估测模型,除平均胸径外,平均树高、密度、郁闭度、海拔、坡度被引入,经检验回归显著,该估测模型可用于其它油松林地表可燃物负荷量估测。     

A GIS-based plant prediction model for wetland ecosystems

An existing non-spatial model for the prediction of response of wetland plant species on ecological factors has been transformed into a GIS-based prediction model which produces spatial output at the landscape scale. The input, spatial patterns of the ecological factors, were constructed with geostatistical spatial interpolation (kriging). With this GIS-based model the spatial patterns of presence and absence of 78 wetland plant species are predicted for an area with wetlands in the Netherlands of approximately 500 square kilometers. The GIS-based model has been validated, and the estimated uncertainty of the input has been propagated through the model. At the species level the output shows spatially coherent and non-random patterns. The validation is affected by the propagation of input errors through the model. The number of valid predictions declines approximately 10–20% when 95% confidence intervals are used in the validation. This study shows that it is feasible to use a geostatistical interpolation method to construct spatial patterns of ecological factors on a landscape scale and to use these patterns as input for a GIS-based prediction model. The added uncertainty on the input values however, affects the number of valid predictions of the model.     

马铃薯甲虫空间分布型及序贯抽样

马铃薯甲虫Leptinotarsa decemlineata Say是一种重要的害虫,为明确其在新疆的空间分布,及时采取有效的防控措施,在田间调查的基础上,采取随机取样和Iwao回归分析法对新疆乌鲁木齐地区的马铃薯甲虫成虫、卵块和幼虫的空间分布型、理论抽样数及幼虫的序贯抽样方法进行了研究。结果表明,马铃薯甲虫各虫态空间格局的聚块性指标均大于1,空间分布型为普通群聚型;对低龄幼虫进行序贯抽样,当防治阈值为50头/样方、置信水平为1.96时,防治上、下限方程分别为:d1=50n+81n和d0=50n-81n,当百株虫量达到756头以上时需要进行防治。     

脐橙糖度光谱图像检测技术研究

对采集到的不同波长的光谱图像灰度分布进行洛伦茨分布(LD)、高斯分布(GD)、指数分布(ED)函数拟合,通过比较发现洛伦茨分布为最优灰度分布拟合函数.将脐橙的糖度与洛伦茨分布函数拟合所得参数分别进行多元线性回归,建立最佳单波长、最佳双波长组合、最佳三波长组合和最佳四波长组合的校正方程.结果表明:利用光谱图像技术无损检测脐橙糖度是可行性的.     

Presence–absence surveys of prey and their use in predicting leopard (Panthera pardus) densities: a case study from Armenia

It is important to predict how many individuals of a predator species can survive in a given area on the basis of prey sufficiency and to compare predictive estimates with actual numbers to understand whether or not key threats are related to prey availability. Rugged terrain and low detection probabilities do not allow for the use of traditional prey count techniques in mountain areas. We used presence–absence occupancy modeling and camera‐trapping to estimate the abundance and densities of prey species and regression analysis to predict leopard (Panthera pardus) densities from estimated prey biomass in the mountains of the Nuvadi area, Meghri Ridge, southern Armenia. The prey densities were 12.94 ± 2.18 individuals km^?2 for the bezoar goat (Capra aegagrus), 6.88 ± 1.56 for the wild boar (Sus scrofa) and 0.44 ± 0.20 for the roe deer (Capreolus capreolus). The detection probability of the prey was a strong function of the activity patterns, and was highest in diurnal bezoar goats (0.59 ± 0.09). Based on robust regression, the estimated total ungulate prey biomass (720.37 ± 142.72 kg km^?2) can support a leopard density of 7. 18 ± 3.06 individuals 100 km^?2. The actual leopard density is only 0.34 individuals 100 km^?2 (i.e. one subadult male recorded over the 296.9 km²), estimated from tracking and camera‐trapping. The most plausible explanation for this discrepancy between predicted and actual leopard density is that poaching and disturbance caused by livestock breeding, plant gathering, deforestation and human‐induced wild fires are affecting the leopard population in Armenia.     

基于 GIS 的中国草地合理载畜量空间化

天然草地合理载畜量是反映草地合理利用强度的基本单位。为提高草地合理载畜量的划分精度,根据“极大似然逼近原理”,创建了异质因子控制下的“线性回归+区域化值残差修正”数据空间化方法。以全国草地资源调查汇总数据中县域理论载畜量和1∶400万中国草地资源图为基础数据,采用分省控制构建了理论载畜量与植被类型-生产力异质植被斑块的线性回归模型,其判定系数由全国模型下的0.867提高到0.937,拟合优势度较高,所获得的中国公里格网草地合理载畜量分布图空间化精度也较高。中国公里格网草地合理载畜量分布图不仅表明了不同类草地因生产力的不同有不同的放牧要求,也体现了不同环境条件下草地载畜能力的差别,有效反映了单位面积内草地植被载畜-生产力水平,为生态治理和草地资源保育工作中合理制定草地利用强度提供了理论参考。     

狂犬病毒中和抗体检测试验中病毒回归试验的重要性

狂犬病毒中和试验的病毒回归试验表明,病毒攻毒液的实际剂量与理论剂量不完全一致.建议在新版<中华人民共和国兽用生物制品质量标准>中增加对病毒攻毒实际剂量范围的规定,以使结果的判定更为合理.