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Efficacy of multivariate analysis and zone soil sampling to study relationships between site variables affecting crop yield and yield response to phosphorus and potassium fertilization.

机译:多变量分析和区域土壤取样研究影响作物产量的位点变量与对磷钾肥的产量响应之间的关系的功效。

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摘要

Crop yield and yield response to fertilization is frequently heterogeneous within-fields. A better understanding of this variability and the development of cost-effective soil sampling techniques to better represent plant nutrient levels are needed to improve nutrient management practices. Two studies were conducted in Iowa to address this general objective.;One study focused on correlations between several site variables and their relationship with soybean [Glycine max (L.) Merr.] yield using two multivariate techniques. Soil and crop variables were measured at five fields using a dense, 0.2-ha grid-point sampling approach. Factor analysis grouped correlated variables into three common factors across fields, which represented conditions for early crop growth, interactions between intrinsic soil properties and landscape position, and P and K availability. These factors explained 10--65% of the yield variability across fields. Principal component analysis explained a similar portion of the yield variability, but relationships between site variables were more difficult to interpret.;In the second study, soil-test P and K results from samples collected using a dense grid sampling approach (0.08--0.24-ha) before applying P or K treatments to long strips in seven fields was used to assess the effectiveness of various zone sampling approaches. Zones were delineated using a systematic, 1.0 grid-cell approach, soil survey maps, remotely sensed soil electrical conductivity, elevation, and slope. The efficacy of the zoning approaches was assessed based on soil-test values and corn (Zea mays L.) and soybean yield response to fertilization. We used yield monitors, global positioning systems, and geographical information systems software. Zones based on elevation and (or) electrical conductivity identified field areas with high and low yield. However, soil-test values and crop response to fertilization seldom differed across zones, except for the grid-sampling approaches. A systematic 1.0-ha grid-cell approach was more effective for identifying field areas with different crop response to fertilization, but the numerous samples required may result in excessive soil testing costs. Because long-term nutrient removal with harvest also is a key element for P and K fertilizer management, less costly zoning approaches used in conjunction with yield maps could be useful for improving long-term nutrient management.
机译:作物产量和对施肥的产量响应通常是田间的异质性。需要对这种变异性有更好的了解,并需要开发具有成本效益的土壤采样技术以更好地代表植物的营养水平,以改善营养管理措施。在爱荷华州进行了两项研究,以解决这一总体目标。一项研究着重使用两种多变量技术,研究了几个位点变量之间的相关性及其与大豆[Glycine max(L.)Merr。]产量的关系。使用密集的0.2公顷网格点采样方法在五个田间测量土壤和作物变量。因子分析将相关变量分为三个跨领域的共同因子,分别代表作物早期生长的条件,土壤固有特性与景观位置之间的相互作用以及磷和钾的有效性。这些因素解释了田间产量差异的10--65%。主成分分析解释了产量可变性的相似部分,但位点变量之间的关系更难以解释;在第二项研究中,土壤测试的P和K结果来自使用密集网格采样方法(0.08--0.24 -ha)在将P或K处理应用于七个领域的长条带之前,用于评估各种区域采样方法的有效性。使用系统的1.0网格单元方法,土壤调查图,遥感的土壤电导率,高程和坡度来划定区域。基于土壤测试值和玉米(Zea mays L.)和大豆对施肥的产量响应,评估了分区方法的有效性。我们使用了产量监控器,全球定位系统和地理信息系统软件。基于高程和(或)电导率的区域确定了高产量和低产量的区域。但是,除网格采样方法外,不同地区的土壤测试值和农作物对施肥的反应几乎没有差异。系统化的1.0公顷网格单元方法对于识别作物对施肥的反应不同的田间地区更为有效,但是所需的大量样本可能会导致土壤测试成本过高。由于收获时长期去除养分也是磷钾肥管理的关键要素,因此与产量图结合使用的成本较低的分区方法可用于改善长期养分管理。

著录项

  • 作者

    Sawchik, Jorge.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Soil sciences.;Agronomy.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 137 p.
  • 总页数 137
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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