自然降水与太行山区玉米单产形成的关系——以武安市为例

为了研究太行山区降雨量对玉米单产的变化规律,指导玉米实际生产。本研究选择武安市降雨量和玉米单产为研究对象,采用散点图、建立线性方程、线性回归显著性分析等方法,通过统计、对比描述等方式,分析武安市降雨量对玉米单产的关系。结果表明,降雨与玉米的单产之间具有一定关系,且生育期降雨量对玉米单产具有显著性影响。(1)在490 mm降雨范围内,玉米的单产随着降雨量的增加而增加,大于490 mm降雨时,玉米的单产与降雨量负相关。(2)玉米的单产受7月和8月的降雨量影响显著,且降雨量约278 mm时,玉米的单产较大。     

Cause and Consequence in Maize Planting Dates in Germany

An important part of agricultural adaptation is the timing of crop sowing dates, affecting yields and the level of risk incurred during a particular season. Cold stress is especially relevant in maize, Zea mays L., so that the timing of planting in the spring is a tactical response to short‐term weather, but is also subject to strategic planning with regard to longer‐term climate. Both factors compare the potential implications of cold stress to the additional yield obtainable through earlier planting. New cultivars suited to growing conditions in Europe and generally increasing spring temperatures have enabled earlier planting, but it is still dependent on short‐term weather during the planting period. In the context of field‐level decision‐making, a panel regression is used to estimate the relationship between weekly local temperature and precipitation and planting dates at specific sites throughout Germany. Next, localised weather data and planting behaviour are linked to yields at the district (Landkreis) level to show the effects of planting date on yield. Based on these relationships optimal planting dates are explored with some associated costs and benefits. Results show a trend towards earlier planting that follows observed increasing spring temperatures and the availability of more cold‐tolerant cultivars but this advance is buffered by the increasing severity of minimum temperatures during a critical period. Earlier planting potentially increases yield but this is offset by additional management costs and risk. A robust and simple depiction of farmer behaviour in climatic, technological and economic context can help to understand trends in crop management and productivity that effect agricultural landscapes.     

基于非线性假设的农业机械化综合评价——以四川地区为例

农业机械化水平受到自然、经济、社会等多重因素影响,区域性特征非常明显,对农机化的评价维度和方法目前也未形成共识。为此,以四川省农机发展水平为例,确定四川省农业机械化评价维度后,基于几个维度的非线性关系假设,使用三维空间向量对该地区农业机械化水平进行了综合评价。     

基于高光谱特征参数的冬小麦氮营养指数估算

为了实现快速高精度获取冬小麦氮营养指数的高光谱监测技术，利用美国SVC HR-1024I型野外光谱辐射仪对2017-2019年关中地区的冬小麦进行遥感监测，获取“三边”参数、任意两波段光谱指数和植被指数，通过相关性分析和逐步回归分析方法筛选冬小麦氮营养指数的敏感光谱参数，结合偏最小二乘回归(PLSR)、随机森林算法(RFR)、支持向量机回归(SVR)和梯度增强回归(GBDT)建立冬小麦氮营养指数模型，并对模型估算精度进行验证。结果表明，从拔节期到灌浆期，各时期的氮营养指数与任意两波段光谱指数均呈极显著相关，其中拔节期氮营养指数与任意两波段光谱指数相关性均高于其他时期，且基于一阶导数光谱的归一化光谱指数和比值光谱指数与氮营养指数的相关系数最大，为0.66。拔节期基于梯度增强回归的冬小麦氮营养指数预测模型的决定系数(r²)和均方根误差(RMSE)分别为0.96和0.05,模型验证的r²、RMSE和相对预测偏差(RPD)分别为0.95、0.12和2.12,模型预测精度最高。因此，拔节期基于梯度增强回归的冬小麦氮营养指数估算模型可用于冬小麦氮营养监测...     

草原补奖政策下牧户家庭收入的影响研究——以内蒙古锡林郭勒盟为例

为探究草原补奖政策对牧户家庭收入的影响,本研究基于锡林郭勒盟219户牧民调研数据,运用分位数回归模型,对牧民收入的影响因素和作用程度进行分析。结果显示：草原补奖政策促进牧民增收,尤其是对低收入牧户家庭增收效果显著;草场使用面积、年初家畜数量、劳动力比例、家畜出生率及出售率对牧民收入具有显著正影响,当草场使用面积、年初家畜数量分别增加1公顷、1羊单位,人均总收入分别提高0.02%,0.15%;劳动力比例、家畜出生率及出售率分别提高1%时,人均总收入分别提高0.65%,0.43%,1.83%;各因素对不同收入家庭的收入影响及作用程度具有差异性,即随着收入水平的提高,劳动力比例增收效果趋于加强,而家畜出生率和出售率的增收效果则趋于减弱。因此,建议引导牧民发展畜牧业适度规模经营、加大畜牧业社会化服务体系建设等以提高牧民收入水平。     

Application of ANSYS to Finite Element Analysis for Nonlinear Masonry Structures

ANSYS has become an effective tool for finite element analysis of masonry structure, but there is few common conclusions for reference. According to the characteristics of ANSYS and the essence of the analysis, some key problems in finite element analysis of masonry structure with ANSYS, such as structural modelling, material constitution, the damage criterion, iterative algorithm, convergence criterion, simulation of prestressing force and so on, are discussed in this paper. Based on the test results of typical masonry structures, the applicability of ANSYS to masonry structural analysis is studied and some suggestions for the application of ANSYS are presented.     

Stability Analysis of Yield in Maize,Wheat and Sorghum and its Implications in Breeding Programs*

Six stability statistics: (b_i, s²_di, , , and ) were estimated for maize, wheat and sorghum in different environments by using three statistical models. The significant linear portion of genotype × environment interaction for maize indicates different hybrids responded differently to environments, whereas the non-significant genotype × environment interaction (linear) were found for wheat and sorghum suggest that all genotypes responded similarly as the environments change. However, the highly significant pooled deviations (deviation from regression) for all three crops make yield predictions from the model less reliable. When regression coefficients (b_i) were non-significant, s²_di, became an important statistic in estimating stability. It appears that the regression coefficient, b_i, was best used to estimate genotypic adaptability, whereas s²_di, for stability. Maize and sorghum had negative correlations between the mean yield and stability statistics, s²_di, , and , suggesting that high yield and stability are not mutually exclusive in the range of environments used in this study; however, such correlations did not occur in wheat. Thus, maize and sorghum hybrids with high yield potential and high stability could be identified and selected. Correlations between mean yield and b_i, or , were positive and significant for maize and sorghum but were non-significant for wheat, indicating that such relationships may be species specific. Under a given set of testing environments, the stability ranking associated with each maize hybrid is correlated to and depends on other hybrids included in the analysis.     

Design for Object-Oriented FEM Analysis Program of Three-dimension Solid

In the nonlinear analysis, stress state and stress history are in respect to stress-strain law. It is needed to store its stress history in calculation and analysis. Based on stress state of material, Object-Oriented Programming method used has the advantage in storing stress history intelligently. It overcomes the shortcoming of Process-Oriented Programming method, saves space and reduces difficulty of programming. Based on the three-dimension solid element, how to design for Object-Oriented nonlinear FEM Program.     

Factorial regression analysis of genotype by environment interaction in ryegrass populations, using both isozyme and climatic data as covariates

A sample of 58 natural ryegrass populations (Lolium perenne L.) from the French and Spanish oceanic coast was evaluated for three seasonal growth traits (i.e. spring, autumn and winter vigour traits) in 5 evaluation sites (three in France and two in Spain). This sample showed a high level of genotype (population) × environment (evaluation sites) interactions for the three agronomic traits. A factor regression analysis, using both isozyme frequencies of populations and climatic factors of evaluation sites as covariates, was carried out on a sub-sample of 30 populations in order to explain these interactions. This method succeeded in explaining most population × location interactions by the product of two covariates. For instance, for spring vigour trait, 72.8% of the interaction term could be explained by the use of two covariates: the PGI2-20 allelic frequency of populations and the minimum temperature of the coldest month of evaluation sites. This study shows the advantage of such a method for plant breeders who need to identify promising ryegrass populations for their breeding objectives. A number of genetic and evolutionary hypotheses are also discussed. This revised version was published online in July 2006 with corrections to the Cover Date.     

蘑菇低温气调保鲜的初步研究

采用正交实验方法，探讨了NaCl浓度、护色时间及控制贮藏环境温度等3个因素对蘑菇子实体的开伞率、PPO酶活变化量及ADF质量分数的影响。结果表明，蘑菇经适当处理，可有效抑制其开伞和品质变化。采用均匀试验设计回归分析程序对实验结果进行拟合，得到以蘑菇开伞率、PPO酶活变化及ADF质量分数为因变量，3个因素的水平编码号为自变量的回归方程估计值与实测值吻合。相对于单纯低温保鲜，采用低温气调保鲜的蘑菇，其品质和理化指标更为理想。