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Aerial photography to determine fertiliser effects on pearl millet and Guiera senegalensis growth

机译:航空摄影确定肥料对珍珠粟和Guiera senegalensis生长的影响

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摘要

Variability in plant growth is high on most sandy soils of the West African Sahel, often requiring extensive destructive sampling for the reliable estimation of treatment effects. A non-destructive method using aerial photographs and topographic measurements integrated in a Geographic Information System (GIS) was evaluated to determine the effects of organic and inorganic soil amendments on the growth of millet [Pennisetum glaucum (L.) R. Br.] and Guiera senegalensis J.F. Grmel. Based on aerial photographs, quantitative methods were developed to estimate the dry matter of millet plants and Guiera coppices present in the field each year prior to millet sowing. Integrating digital images of both plant species, measurements of the field's topography and a map of the experimental layout in a GIS allowed successful monitoring of the growth of both species as influenced by phosphorus application and the shrub-crop interaction. Regressions between the dry matter of Guiera coppices and the canopy area were good (r = 0.76 to 0.93) and permitted the calculation of the individual coppice dry matter for the entire field with fewer than 40 destructive measurements. The information on coppices' positions extracted from the aerial photographs and the topographic grid used as covariates explained a significant proportion of the millet growth variability. The use of these covariates also improved the precision of the analysis of variance of millet dry matter data by reducing the residual sum of squares by as much as 33% in the first experimental year. The study demonstrates the potential of non-destructive measurements integrated in a GIS to improve the collection and interpretation of data from field experiments
机译:变异植物生长是高在西非萨赫勒地区的最沙质土壤,往往需要对治疗效果的可靠估计广泛的破坏性取样。使用集成在地理信息系统(GIS)的航空照片和地形测量的非破坏性方法进行评价,以确定上小米生长的有机和无机土壤改良剂的效果[灰绿狼尾草(L.)R.溴。]和塞内加尔吉耶拉树JF Grmel。根据航拍照片,开发了定量的方法来估算小米植物干物质和本吉耶拉树在该领域每年之前,小米播种coppices。集成两个植物物种的数字图像,该字段的地形和地图上的地理信息系统的实验布局的测量允许作为由磷应用和灌木作物相互作用的影响这两个物种的生长的成功监测。吉耶拉树coppices的干物质和遮篷区域之间回归被良好相关(r = 0.76至0.93)和允许的个体矮林干物质对于少于40个破坏性测量整个字段的计算。从航空照片和使用作为协变量的网格地形上提取coppices'位置的信息解释小米生长变异性的显著比例。使用这些协变量也通过在第一实验年多达33%的减少平方的残差平方和改进小米干物质数据的方差分析的精度。这项研究表明,集成在GIS非破坏性测量的潜力,提高从田间试验数据的收集和解释

著录项

  • 作者

    B. Gérard; A. Buerkert;

  • 作者单位
  • 年度 1999
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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