首页> 外文学位 >Effect of treating field spatial variability in winter wheat (Triticum aestivum L.) at different resolutions, and adjusting midseason nitrogen rate using a sensor-based optimization algorithm to improve use efficiency in corn (Zea mays l.).
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Effect of treating field spatial variability in winter wheat (Triticum aestivum L.) at different resolutions, and adjusting midseason nitrogen rate using a sensor-based optimization algorithm to improve use efficiency in corn (Zea mays l.).

机译:处理不同分辨率下的冬小麦田间空间变异性,并使用基于传感器的优化算法调整季中氮素含量以提高玉米(Zea mays l。)的利用效率。

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摘要

Scope and method of study. For chapter one, resolution trials were conducted to determine the scale at which spatial variability in winter wheat should be treated using an in-season nitrogen fertilization optimization algorithm (NFOA). The treatments included variable N rate applications at three resolutions (0.84, 13.37, and 26.76 m2), a fixed N rate at 90 kg ha-1 applied preplant and midseason, and a check plot arranged in a completely randomized design with three replications. For chapter two, experiments were conducted to formulate an in-season NFOA to estimate midseason N rates that maximize corn growth and minimize inputs, and to determine the optimum resolution to treat spatial variability in corn. The experiment consisted of 13 treatments arranged in a randomized block design with three replications. Treatments included: a 134 kg N ha-1 fixed rate applied in split, preplant- and sidedress-only; a 67 kg N ha -1 fixed rate applied preplant- and sidedress-only; three NFOA-based midseason N rates (RICV-, RI- and flat-RICV-NFOA) with (67 kg N ha -1) and without preplant N; and two resolutions (0.34 and 2.32 m 2) tested for RICV-NFOA only.; Findings and conclusions. For chapter one, the NFOA-based N rates achieved a higher N use efficiency (NUE) value of 41% compared with 33% of the 90 kg N ha-1 fixed rate applied midseason. Treating spatial variability using NFOA at 13.4 m2 achieved the highest NUE value of 56%. Four out of six site years resulted in a higher net return ({dollar} 5 to 101 ha-1) when an NFOA approach was used. Treating spatial variability at 13.4 m2 using the NFOA resulted in increased NUE and net return. For chapter two, with 67 kg N ha-1 preplant application, midseason RI-NFOA-based N rates improved NUE to 64% when compared with 56% of the134 kg N ha-1 fixed rate split applied. The RI-NFOA midseason N rates resulted in higher grain yield and net return in three of six high yielding site years. In general, the use of midseason N rate recommendations based on N demand of predicted yield potential resulted in improved NUE and net return compared with fixed N fertilizer application at 134 kg N ha-1.
机译:研究范围和方法。对于第一章,进行了分辨率试验,以确定应使用季节氮肥优化算法(NFOA)处理冬小麦空间变异性的规模。这些处理包括以三种分辨率(0.84、13.37和26.76 m2)可变施氮量,在种植前和中期应用90 kg ha-1的固定氮素比例以及以三份重复的完全随机设计安排的检查区。对于第二章,进行了实验以制定季节中的NFOA,以估算使玉米生长最大化和输入量最小化的季节中的N速率,并确定处理玉米空间变异性的最佳分辨率。实验包括以随机区组设计排列的13种治疗方法,其中有3次重复。处理包括:134千克N ha-1固定剂量的分次施用,仅种植前和便衣施用;仅种植前和种植只施用67 kg N ha -1的固定剂量;基于(3)NFOA的季中N值(RICV-,RI-和RICV-NFOA),其中(67 kg N ha -1),不使用预种植N;仅针对RICV-NFOA测试了两个分辨率(0.34和2.32 m 2)。结论和结论。对于第一章,基于NFOA的氮素利用率达到了41%的较高N利用效率(NUE)值,而季中90 kg N ha-1固定氮素的施用率为33%。使用13.4平方米的NFOA处理空间变异性时,NUE值最高,达到56%。使用NFOA方法时,六个工作年中有四个导致较高的净回报(5美元至101 ha-1)。使用NFOA处理13.4平方米的空间变异性会增加NUE和净收益。对于第二章,使用67 kg N ha-1的预施氮肥,基于季中基于RI-NFOA的氮肥利用率将NUE提高到64%,而施用的134 kg N ha-1固定比例氮肥为56%。 RI-NFOA的中期N比率导致六个高产位年中的三个年中谷物产量和净收益都较高。通常,与以134 kg N ha-1施用固定氮肥相比,基于预测的潜在氮需求量的季中氮肥推荐值可提高NUE和净收益。

著录项

  • 作者

    Tubana, Brenda Servaz.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Agriculture Agronomy.; Agriculture Soil Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);土壤学;
  • 关键词

  • 入库时间 2022-08-17 11:40:37

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