小麦矮秆育种中性状间关系的多元分析   总被引：12，自引：0，他引：12  

何中虎  张树榛 《华北农学报》1992,7(1):1-7

以7个株高梯度系列的35个系统及5个亲本品种为材料,采用典范分析和逐步回归分析研究了株高及其构成因子与产量因子、产量生理性状间的关系。结果表明:①株高因子通过产量生理性状影响产量因子,一定的生物学产量是获得高产的基础。②矮秆品种的高化对提高产量、千粒重和收获指数有利,对蛋白质含量的影响不明显;高秆品种矮化能显著提高收获指数,对籽粒的蛋白质含量影响不大。③在主要性状符合育种目标的前提下,选择倒二节间较长、第一和第二叶间距略长、穗颈和穗部较长的类型可能对提高产量有利。  相似文献   

Spatial dependence and the relationship of soil organic carbon and soil moisture in the Luquillo Experimental Forest,Puerto Rico   总被引：11，自引：0，他引：11  

Wang  Hongqing  Hall  Charles A.S.  Cornell  Joseph D.  Hall  Myrna H.P. 《Landscape Ecology》2002,17(8):671-684

We used geo-spatial statistical techniques to examine the spatial variation and relationship of soil organic carbon (SOC) and soil moisture (SM) in the Luquillo Experimental Forest (LEF), Puerto Rico, in order to test the hypothesis that mountainous terrain introduces spatial autocorrelation and crosscorrelation in ecosystem and soil properties. Soil samples (n = 100) were collected from the LEF in the summer of 1998 and analyzed for SOC, SM, and bulk density (BD). A global positioning system was used to georeference the location of each sampling site. At each site, elevation, slope and aspect were recorded. We calculated the isotropic and anisotropic semivariograms of soil and topographic properties, as well as the cross-variograms between SOC and SM, and between SOC and elevation. Then we used four models (random, linear, spherical and wave/hole) to test the semi-variances of SOC, SM, BD, elevation, slope and aspect for spatial dependence. Our results indicate that all the studied properties except slope angle exhibit spatial dependence within the scale of sampling (200 – 1000 m sampling interval). The spatially structured variance (the variance due to the location of sampling sites) accounted for a large proportion of the sample variance for elevation (99%), BD (90%), SOC (68%), aspect (56%) and SM (44%). The ranges of spatial dependence (the distances within which parameters are spatially dependent) for aspect, SOC, elevation, SM, and BD were 9810 m, 3070 m, 1120 m, 930 m and 430 m, respectively. Cross correlograms indicate that SOC varies closely with elevation and SM depending on the distances between samples. The correlation can shift from positive to negative as the separation distance increases. Larger ranges of spatial dependence of SOC, aspect and elevation indicate that the distribution of SOC in the LEF is determined by a combination of biotic (e.g., litterfall) and abiotic factors (e.g., microclimate and topographic features) related to elevation and aspect. This demonstrates the importance of both elevation and topographic gradients in controlling climate, vegetation distribution and soil properties as well as the associated biogeochemical processes in the LEF.This revised version was published online in May 2005 with corrections to the Cover Date.  相似文献   

基于高光谱特征参数的冬小麦氮营养指数估算     

王玉娜  李粉玲  李振发  吕书豪 《麦类作物学报》2023,(11):1475-1483

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...  相似文献   

海藻冲施肥对韭菜产量·品质的影响     

张晓雷  高成功  陈光  姜正良  李振山  李海萍 《安徽农业科学》2013,41(9):3840-3840,3856

[目的]为海藻冲施肥在蔬菜生产中的推广应用提供依据。[方法]以韭菜品种"独根红"为试验材料,通过使用不同浓度的海藻冲施肥,研究海藻冲施肥对韭菜产量、生长情况及其品质的影响。[结果]海藻冲施肥能促进韭菜的植株营养体生长发育,叶绿素、可溶性糖类等品质指标的含量有所提高,产量和品质显著提升。[结论]海藻冲施肥宜在韭菜生产中推广应用。  相似文献   

山西高原草地景观格局分析     

李志琴  张先平 《安徽农业科学》2012,40(10):6005-6008,6018

在GIS的支持下,以《山西高原草地分类现状图》(1∶50万)为基础,通过对底图进行矢量化处理,设置样带并对其进行抽样,应用景观指数对山西高原草地景观格局特征进行研究。结果表明:①山西高原草地具有明显的纬度和经度梯度分布规律,即由南到北草地类型多样性呈现出由简单—最多—较多的变化特点。在山西中南部(34°52'～37°07'N)以喜暖灌木类草丛为优势草地类型,中部地区(37°07'～38°01'N)以喜暖灌木草丛和山地灌丛为优势草地类型,中北部(38°01'～39°22'N)草地景观多样性达到最大(6种草地类型均见于该区),最北部(39°22'～40°16'N)草地种类较少且面积有限。②草地斑块数量由西到东具有由极少—较多—少—极多的特点,且草地分布与海拔高度具有密切关系,最西边低地与中间盆地,基本无草地覆盖;在中海拔(1 000～1 400 m)地带,斑块数量最多、草地类型最为丰富;在高海拔(1 400～2 200 m)地带,草地成片出现。  相似文献   

基于特征筛选算法的数字土壤制图研究          下载免费PDF全文

张晓婷  黄魏  傅佩红  孟可  王苏放 《土壤学报》2024,61(3)

平缓地带数字土壤制图中，环境协变量的选择是提高制图精度的关键。已有研究证明遥感影像可作为推理制图的辅助因子，而如何确定环境因子推理制图时各自的权重已成为现阶段研究的重点。选取湖北省麻城市乘马岗镇为研究区，采用3种特征筛选方法进行有效环境变量筛选，探索参与平原-丘陵混合区域制图的因子并确定其重要性，依据选择的相对稳定的指标，进一步探索提高土壤类型制图准确性的途径。根据141个野外独立样点的检验结果表明：在推理制图中，遥感因子在平原区域的重要性程度高于丘陵区域，且遥感因子中归一化植被指数(NDVI)和均值(Mean)较为稳定；基于递归特征算法的按地形推理制图精度最高为75.89%，分别高于ReliefF算法和基于Tree的特征筛选算法13.48%和4.97%；此外3种特征筛选算法制图结果中，按地形因子分区制图的精度均高于整体区域制图。因此，遥感因子作为辅助手段参与推理过程可有效提高制图精度。本研究采用的特征挖掘与机器学习算法对提升土壤制图精度具有一定的理论意义。  相似文献   

Effects of past, present and future atmospheric CO₂ concentrations on soil organic matter dynamics in a chaparral ecosystem     

Ilaria Del Galdo  Walter C. Oechel 《Soil biology & biochemistry》2006,38(11):3235-3244

Owing to the continuously increasing concentration of atmospheric CO₂, it has become a priority to understand if soil organic matter (SOM) will behave as a sink or a source of CO₂ under future environmental changes. Although many studies have addressed this question, a clear understanding is still missing, particularly with respect to long-term responses. In this study, we quantified soil C stores and dynamics in relationship to soil aggregation and pool composition in a Californian chaparral ecosystem exposed for 6 years to a gradient of atmospheric CO₂ concentrations, ranging from pre-industrial levels 250 to 750 μl l⁻¹ CO₂. Fossil fuel-derived CO₂ depleted in ¹³C was used for the fumigation, thus providing a tracer of C input from the vegetation to the soil.Long-term CO₂ exposure invariably affected soil aggregation, with a significant decrease in the macroaggregate fraction at highest CO₂ levels relative to the other two size fractions (i.e. microaggregates and silt and clay). This soil structural change most likely reduced the stability and protection of SOM, and C content generally decreased in most fractions over the CO₂ treatments, and induced faster turnover of recently fixed C at high CO₂ levels. The strongest response was found in the C content of the microaggregates, which decreased significantly (P<0.05) with rising levels of CO₂. We conclude that increasing atmospheric CO₂ concentrations will decrease soil C in chaparral ecosystems, and that the microaggregate fraction is the most responsive to increasing concentrations of atmospheric CO₂.  相似文献   

Estimating aboveground biomass of Pinus densata-dominated forests using Landsat time series and permanent sample plot data   总被引：3，自引：0，他引：3  

Jialong Zhang  Chi Lu  Hui Xu  Guangxing Wang 《林业研究》2019,(5):1689-1706

Southwest China is one of three major forest regions in China and plays an important role in carbon sequestration.Accurate estimations of changes in aboveground biomass are critical for understanding forest carbon cycling and promoting climate change mitigation.Southwest China is characterized by complex topographic features and forest canopy structures,complicating methods for mapping aboveground biomass and its dynamics.The integration of continuous Landsat images and national forest inventory data provides an alternative approach to develop a long-term monitoring program of forest aboveground biomass dynamics.This study explores the development of a methodological framework using historical national forest inventory plot data and Landsat TM timeseries images.This method was formulated by comparing two parametric methods:Linear Regression for Multiple Independent Variables(MLR),and Partial Least Square Regression(PLSR);and two nonparametric methods:Random Forest(RF)and Gradient Boost Regression Tree(GBRT)based on the state of forest aboveground biomass and change models.The methodological framework mapped Pinus densata aboveground biomass and its changes over time in Shangri-la,Yunnan,China.Landsat images and national forest inventory data were acquired for 1987,1992,1997,2002 and 2007.The results show that:(1)correlation and homogeneity texture measures were able to characterize forest canopy structures,aboveground biomass and its dynamics;(2)GBRT and RF predicted Pinus densata aboveground biomass and its changes better than PLSR and MLR;(3)GBRT was the most reliable approach in the estimation of aboveground biomass and its changes;and,(4)the aboveground biomass change models showed a promising improvement of prediction accuracy.This study indicates that the combination of GBRT state and change models developed using temporal Landsat and national forest inventory data provides the potential for developing a methodological framework for the long-term mapping and monitoring program of forest aboveground biomass and its changes in Southwest China.  相似文献   

小麦T型细胞质雄性不育系和保持系蛋白质的比较研究   总被引：14，自引：1，他引：13  

滕晓月  陈雪晖 《作物学报》1996,22(3):264-270

以小麦Ｔ型雄性不育系及其保持系种子为材料,用双向电泳结合高灵敏度银染技术 地其胚乳醇溶蛋白进行分析,发现两系之间有明显差异。  相似文献   

基于GFM和GAMM模型分析对虾白斑综合征(WSSV)对黄海和东海北部水域虾类生物量的影响          下载免费PDF全文

徐婷婷  滕广亮  李英瑕  吴强  单秀娟  张庆利  金显仕 《渔业科学进展》2022,43(1):46-55

虾类是海洋生态系统功能群的重要组成部分,其生物量变化受到多重因素的影响。本研究在开展黄海和东海北部水域虾类白斑综合征病毒(white spot syndrome virus, WSSV)流行病学调查的基础上,利用梯度随机森林模型(gradient random forest model, GFM)和广义加性混合模型(generalized additive mixed models, GAMM),分析了2016—2018年间黄海和东海北部水域WSSV流行对虾类生物量的影响。分子检测结果显示,调查所获取的26种虾类中,11种被检测为WSSV阳性;2016、2017和2018年WSSV阳性采样站点的比率分别为48.40%、38.75%和21.74%,虾类样品中WSSV阳性检出比率分别为16.86%、9.60%和4.80%。GFM模型分析显示,解释变量“阳性样品数的对数(ln_posi)”对响应变量“虾类生物量的对数(ln_Abu)”的重要性最高。GAMM分析中,根据赤池信息准则(Akaike information criterion, AIC)最小原则筛选出的最优模型为：ln_Abu~WSSV阳性率(P_rate)+ln_posi+经度(Long),该模型中ln_posi和P_rate是影响虾类生物量的极显著相关因子,ln_Abu随着P_rate的升高而降低。研究表明,WSSV在黄海和东海北部水域虾类中流行,推测对该海域的虾类生物量存在影响。  相似文献