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Validation of Soil-Test-Based Phosphorus and Potassium Fertilizer Recommendations for Rice and Soybean.

机译:水稻和大豆基于土壤试验的磷钾肥推荐标准的验证。

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摘要

The science of soil-testing for nutrient management and fertilizer recommendations is widely accepted among scientists and agronomists. Although this science is unsurpassed in predicting soil nutrient availability, soil-test interpretations are seldom validated. Major research objectives for irrigated soybean [Glycine max (L.) Merr.] and direct-seeded, delayed-flood rice (Oryza sativa L.) were to: i) validate the accuracy of Mehlich-3 soil-test P (STP) and K (STK) interpretations and ii) published critical tissue-P and -K interpretations in predicting the yield response to fertilizer at different significance levels (p≤0.05 to 0.25), iii) examine how seed nutrient concentrations are influenced by fertilization and crop response to fertilizer, and iv) evaluate how soil samples from two different depths (0-10 and 0-30 or -45 cm) influence crop response to fertilization. Seventeen (soybean) and 16 (rice) total field experiments were conducted in 2013 and 2014. Soil-P interpretations showed an overall accuracy of 40 (p≤0.05) to 55% (p≤0.25) for soybean and 35% (p≤0.05 and 0.25) for rice in predicting the yield response to fertilizer. Overall accuracy of STK interpretations regarding yield response predictions was 71 (p≤0.05) to 84% (p≤0.25) for soybean and 14 (p≤0.25) to 20% (p≤0.05) for rice. Complete evaluation of critical tissue-P (soybean) and -K (rice) concentrations were unfeasible due to the lack of site-years in deficient categories. Rice tissue-P concentrations were 50 (p≤0.05) and 39% (p≤0.25) accurate in predicting the fertilizer effect on yield. Yield response to fertilizer was accurately predicted at 48 (p≤0.05) to 62% (p≤0.25) of the sites by tissue-K concentrations of soybean. Seed nutrient concentrations of soybean were influenced by fertilizer more frequently and to a greater measure compared with rice. Regression analysis of soil nutrient indices of the shallow and deep soil depths for both crops were relatively strong with a slope close to 1.0 suggesting nutrients at deeper depths had minimal effects on the yield response of either. With exception to STP in rice, nutrient concentration interpretations of soil and tissue for both crops and nutrients were affected by the significance level used to evaluate the data. Tissue concentrations were an inferior (soybean) and superior (rice) predictor of crop response to fertilizer.
机译:用于营养管理和肥料建议的土壤测试科学已被科学家和农学家广泛接受。尽管在预测土壤养分有效性方面没有超越这一科学,但很少对土壤试验的解释进行验证。灌溉大豆[Glycine max(L.)Merr。]和直接播种的延迟洪水稻(Oryza sativa L.)的主要研究目标是:i)验证Mehlich-3土壤试验P(STP)的准确性和K(STK)解释,以及ii)发表关键的组织P和-K解释,以预测不同显着水平(p≤0.05至0.25)对肥料的产量响应,iii)检查施肥和农作物如何影响种子养分浓度iv)评估两个不同深度(0-10和0-30或-45 cm)的土壤样品如何影响作物对施肥的响应。 2013年和2014年分别进行了17次(大豆)和16次(大米)的田间试验。土壤P解释显示,大豆的总体准确度为40(p≤0.05)至55%(p≤0.25),而35%(p≤ 0.05和0.25),以预测对肥料的产量响应。关于产量响应预测的STK解释的总体准确性,大豆为71(p≤0.05)至84%(p≤0.25),水稻为14(p≤0.25)至20%(p≤0.05)。由于缺乏类别中的位点年限,无法对关键组织中的P(大豆)和-K(大米)浓度进行全面评估。水稻组织磷浓度在预测肥料对产量的影响上准确度分别为50(p≤0.05)和39%(p≤0.25)。通过大豆的组织K浓度可以准确地预测到肥料的产量响应在48(p≤0.05)到62%(p≤0.25)的位点上。与水稻相比,大豆的种子养分浓度受肥料的影响更大,而且受肥料的影响更大。两种作物的浅层和深层土壤深层土壤养分指数的回归分析相对较强,斜率接近1.0,表明深层养分对两种作物的产量响应影响最小。除水稻中的STP外,用于评估作物的土壤和组织对作物和养分的养分浓度解释均受显着性水平影响。组织浓度是作物对肥料反应的劣等(大豆)和优等(水稻)的预测指标。

著录项

  • 作者

    Fryer, Matthew Scott.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Soil sciences.;Plant sciences.;Agronomy.
  • 学位 M.S.
  • 年度 2015
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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