Relating topography and soil phosphorus distribution in litter‐amended pastures in Arkansas-Reference-Cited by-同舟云学术

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Relating topography and soil phosphorus distribution in litter‐amended pastures in Arkansas

Published:2021-01 Issue:4 Volume:4 Page:
ISSN:2639-6696
Container-title:Agrosystems, Geosciences & Environment
language:en
Short-container-title:Agrosystems Geosci & Env

Author:

Adhikari Kabindra¹^ORCID,Braden Indi S.²^ORCID,Owens Phillip Ray³^ORCID,Ashworth Amanda J.⁴^ORCID,West Charles⁵^ORCID

Affiliation:

1. USDA‐ARS, Grassland, Soil and Water Research Laboratory Temple TX 76502 USA

2. Southeast Missouri State Univ. One University Plaza Cape Girardeau MO 63701 USA

3. Dale Bumpers Small Farms Research Center USDA‐ARS Booneville AR 72927 USA

4. Poultry Production and Product Safety Research Unit USDA‐ARS Fayetteville AR 72701 USA

5. Texas Tech Univ. MS 42122 Lubbock TX 79409 USA

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/agg2.20207

Reference62 articles.

1. Digital Mapping of Topsoil Carbon Content and Changes in the Driftless Area of Wisconsin, USA

2. High-Resolution 3-D Mapping of Soil Texture in Denmark

3. Topographic controls on soil nutrient variations in a silvopasture system;Adhikari K.;Agrosystems, Geosciences & Environment,2018

4. Long‐term effects of grazing management and buffer strips on phosphorus runoff from pastures fertilized with poultry litter

5. Nutrient Characteristics of Poultry Manure and Litter

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1. Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity;Agrosystems, Geosciences & Environment;2024-09

2. Best Management Practices for Intensive Grazing Systems: Southeast Missouri Case Study;Agricultural Sciences;2024-08-03

3. Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates;2022-10-06

4. Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus;Agriculture;2022-07-20

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