春小麦蛋白质、脂肪、淀粉含量间的相关与回归分析

本文通过对20个春小麦品种(或品系)蛋白质、脂肪、淀粉百分含量间的相关、回归、协方差分析,表明蛋白质百分含量与淀粉百分含量间为极显著的负相关;脂肪百分含量与淀粉百分含量间为极显著的负相关;蛋白质百分含量与脂肪百分含量间为极显著的正相关。并建立了淀粉、脂肪、蛋白质百分含量间的回归方程。在同一试验条件下,各品种(或品系)蛋白质、脂肪、淀粉百分含量变异系数的大小,在一定程度上反映出各品种在品质性状上的纯合程度。变异系数愈小,表明纯合程度愈高;变异系数愈大,表明纯合程度愈低。因此,在那些变异系数较大的品种(或品系)中,可选出表型性状与原品种(或品系)基本相似,而在品质性状上却有较大提高的优质新品系。     

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.     

黄淮夏大豆主要农艺性状的遗传分析

利用黄淮地区的12个高产夏大豆品种(系),通过NCⅡ交配设计,对12个主要农艺性状的遗传进行了分析。结果表明,所有性状的加性方差大于显性方差。主茎节数、株高、每簇荚数和主茎荚数的加性成分占绝对优势,遗传力较高。分枝荚数、单株粒数和单株粒重的显性成分比例大,遗传力较低,其中单株粒重趋于完全显性。主茎节数的显性成分很少,其它性状均为部分显性。建立了单株产量与产量因子之间的逐步回归方程。     

Biological and Physical Constraints on Maize Production in the Humid Forest and Western Highlands of Cameroon

The aim was to identify biological and physical factors responsible for reducing maize yield in Cameroon. Two surveys were conducted in 137 fields in two agroecological zones in 1995–1997. In the Humid Forest (HF), Bipolaris maydis, Stenocarpella macrospora, Puccinia polysora, Rhizoctonia solani and soil fertility were factors that reduced maize production in 1995 and 1996. In the Western Highlands (WHL), Cercospora zeae-maydis, and the interaction between soil fertility and maize variety were the most important constraints to maize production in 1996. In 1997, C. zeae-maydis, S. macrospora, physiological spot and stem borer damage (Busseola fusca) were negatively related to ear weight. The combination of these biological factors (diseases and insects), and the physical parameter of soil fertility were responsible for reducing maize yield in these selected benchmarks of Cameroon. Maximum potential yield reductions were estimated at 68% due to B. maydis and 46% due to S. macrospora, respectively, in the HF in 1995. In 1996, maximum potential yield reductions in the HF were estimated at 34%, 41% and 30% due to S. macrospora, P. polysora and R. solani, respectively. In the WHL, C. zeae-maydis had the potential to cause a yield reduction of 79% in 1996. In the WHL in 1997, the interaction between C. zeae-maydis and B. fusca, stem diseases and the physiological spot caused potential reductions of 52%, 34% and 39%, respectively.     

基于PLSR-BP复合模型的红壤有机质含量反演研究

对红壤地区土壤有机质进行快速预测,以满足智慧农业与精准施肥的需要。以江西省奉新县北部为研究区域,采用1 km×1 km标准格网划分研究区进行采样,共得到红壤样本248个。对土壤光谱进行了包含分数阶导数在内的3种数学变换方法,将经过P=0.01显著性检验的波段用于模型的构建,选用偏最小二乘回归(PLSR)和BP神经网络建立土壤有机质含量预测模型。结果表明:当对红壤光谱数据进行1.5阶导数变换后再使用PLSR-BP复合模型对土壤有机质含量进行预测时的结果为最优,训练集R²=0.89,RMSE=4.68g·kg^-1,验证集R²=0.87,RMSE=5.55g·kg^-1,RPD=2.75。1.5阶导数对红壤光谱数据的变换能够更好地突出与有机质相关的特征信息,有助于其含量预测。PLSR-BP复合模型预测精度优于单一模型,能够较好地预测红壤有机质含量,为精准农业快速监测红壤有机质含量提供了新的途径。     

基于MGWRK的土壤有机质制图及驱动因素研究

【目的】空间预测是一种获得有机质空间局部细节的重要方法,其准确性对于农田合理管理有着重要意义。本研究通过对比不同的土壤有机质空间制图方法以获得更优的预测精度,在预测的同时揭示环境协变量的空间非平稳性特征及不同环境协变量关系的空间尺度。【方法】选取晋中盆地的7个乡镇作为研究区,对比普通克里金(OK)、回归克里金(RK)、地理加权回归克里金(GWRK)和多重尺度地理加权回归克里金(MGWRK)4种不同方法对土壤有机质的预测能力和效果,并探究影响因子在空间分布中对有机质的影响效应变化和这种影响效应的空间尺度。MGWRK是一种多重尺度地理加权回归(MGWR)与普通克里金方法相结合的方法。【结果】选取坡向、坡度、年均降水量、年平均温度、海拔、植被年总初级生产力、年蒸散量、地形湿度指数、平面曲率、汇流动力指数、地形指数、地形粗糙指数、年平均NDVI为环境协变量参与建模,在多元线性回归建模中,模型统计学意义显著,这表明模型具备统计学意义。从Radius指数来看,各模型模拟效果由好到差依次为RK、OK、GWRK、MGWRK;从制图效果来看,MGWRK与GWRK制图效果相当,从有机质的空间预测图可以看出...     

烟台地区水面蒸发BP神经网络模型研究

运用BP神经网络模型对水面蒸发进行研究,并与多元线性回归和主成分回归2种方法的拟合结果进行比较。结果显示,多元线性回归各参数均通过t检验,拟合较好;主成分回归中,参数b2未通过t检验,拟合效果不如多元线性回归好。BP神经网络模型、多元线性回归、主成分回归建立的水面蒸发量观测值与拟合值的回归方程中决定系数分别为0.8986、0.7993、0.7984。应用BP神经网络进行分析,相对误差小于10%的样本个数超过总样本个数的40%,相对误差不超过30%的样本个数接近80%;而其它2种方法相对误差大于10%的样本个数超过总样本数的80%,相对误差大于50%的接近总样本个数的30%。可见,应用BP神经网络模型进行水面蒸发量计算,远优于其它2种方法,应用此方法进行水面蒸发量的预测是非常理想的。     

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。     

通径分析新探索

对通径分析中自变量个数选择、剩余决定系数评价及引入自变量显著标准提出了新见解,提出了逐步回归通径分析法。     

春小麦旗叶性状与产量性状的相关与回归分析

以14个春小麦品种为试材,对旗叶性状与产量及产量性状作了相关与多元回归分析。结果表明,测试小麦旗叶长、旗叶宽、叶面积、旗叶与茎秆的夹角与穗粒数、千粒重、株穗数和产量等性状间的相关系数分别达显著或极显著,建立了旗叶性状与产量及产量因素的最优多元回归方程。