...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Soil Science Society of America Journal >Assessing Indices for Predicting Potential Nitrogen Mineralization in Soils under Different Management Systems
【24h】

Assessing Indices for Predicting Potential Nitrogen Mineralization in Soils under Different Management Systems

机译：不同管理体系下土壤潜在氮矿化作用的预测指标

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A reliable laboratory index of N availability would be useful for making N recommendations, but no single approach has received broad acceptance across a wide range of soils. We compared several indices over a range of soil conditions to test the possibility of combining indices for predicting potentially mineralizable N (N0). Soils (0–5 and 5–15 cm) from nine tillage studies across the southern USA were used in the evaluations. Long-term incubation data were fit to a first-order exponential equation to determine N0, k (mineralization rate), and N0* (N0 estimated with a fixed k equal to 0.054 wk–1). Out of 13 indices, five [total C (TC), total N (TN), N mineralized by hot KCl (Hot_N), anaerobic N (Ana_N), and N mineralized in 24 d (Nmin_24)] were strongly correlated to N0 (r > 0.85) and had linear regressions with r2 > 0.60. None of the indices were good predictors of k. Correlations between indices and N0* improved compared with N0, ranging from r = 0.90 to 0.95. Total N and flush of CO2 determined after 3 d (Fl_CO2) produced the best multiple regression for predicting N0 (R2 = 0.85) while the best combination for predicting N0* (R2 = 0.94) included TN, Fl_CO2, Cold_N, and NaOH_N. Combining indices appears promising for predicting potentially mineralizable N, and because TN and Fl_CO2 are rapid and simple, this approach could be easily adopted by soil testing laboratories.
机译：对于N的建议，一个可靠的实验室指标将是有用的，但是没有一种方法在广泛的土壤中得到了广泛的认可。我们在一定范围的土壤条件下比较了几种 指数，以测试通过组合指数来预测可能矿化的 N（N 0 < / sub>）。在美国南部进行了9次耕作的土壤（0–5和5–15 cm）用于评估。 长期孵化数据符合第一个用指数 方程确定N 0 ，k（矿化率）和N 0 *（N 0 < sup> 估计，固定k等于0.054 wk -1 ）。在 的13个索引中，有5个[总C（TC），总N（TN），N通过热KCl（Hot_N）矿化的 ，厌氧N（Ana_N）和N 24 d（Nmin_24）矿化与N 0 （r> 0.85） 高度相关，并且线性回归与r 2 都不是k的良好预测指标。索引与 N 0 *之间的相关性比N 0 有所改善，范围从r = 0.90到0.95。 总计3 d（Fl_CO2）后测定的N和CO 2 的冲洗量产生 预测N 0 （R 2 < / sup> = 0.85），而 用于预测N 0 *的最佳组合（R 2 = 0.94）包括 TN，Fl_CO2 ， Cold_N和NaOH_N。组合指数似乎很有希望 用于预测可能矿化的氮，并且由于TN和 Fl_CO2快速且简单，因此该方法很容易在土壤测试中采用 实验室。

著录项

  • 来源
    《Soil Science Society of America Journal》 |2009年第5期|1575-1586|共12页
  • 作者

    Harry H. Schomberg; Sirio Wietholter; Timothy S. Griffin; D. Wayne Reeves; Miguel L. Cabrera; Dwight S. Fisher; Dinku M. Endale; Jeff M. Novak; Kip S. Balkcom; Randy L. Raper; Newell R. Kitchen; Martin A. Locke; Kenneth N. Potter; Robert C. Schwartz; Clinton C. Truman; Don D. Tyler;

  • 作者单位

    USDA-ARS, J. Phil Campbell, Sr., Natural Resource Conservation Center, Watkinsville, GA 30677,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    Empresa Brasileira de Pesquisa Agropecuária (Embrapa Trigo), Passo Fundo, Rio Grande do Sul, Brazil 99001-970,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    Friedman School of Nutrition Sci. and Policy, Tufts Univ., Boston, MA 02111,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    Univ. of Georgia, Dep. of Crop and Soil Sciences, Athens, GA 30602,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, Coastal Plains Soil, Water, and Plant Res.Ctr., Florence, SC 29501,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, Coastal Plains Soil, Water, and Plant Res.Ctr., Florence, SC 29501,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, National Soil Dynamics Lab., Auburn, AL 36832,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, Cropping Systems and Water Quality Res. Unit, Columbia, MO 65211,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, National Sedimentation Lab., Oxford, MS 38655,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, Grassland Soil and Water Res. Lab., Temple, TX 76502,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, Southern Plains Conserv.Production Rese. Lab., Bushland, TX 79012,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

    USDA-ARS, Southeast Watershed Res. Lab., Tifton, GA 31793,Univ. of Tennessee, Biosystems Engineering and Soil Science Dep., Jackson, TN 38301;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号