Assessing nitrogen fluxes from dairy farms using a modelling approach: A case study in the Moe River catchment, Victoria, Australia-Reference-Cited by-同舟云学术

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Assessing nitrogen fluxes from dairy farms using a modelling approach: A case study in the Moe River catchment, Victoria, Australia

Published:2016-12 Issue: Volume:178 Page:37-51
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Thayalakumaran T.,Roberts A.,Beverly C.,Vigiak O.,Norng S.,Stott K.

Funder

Victorian Department of Primary Industries

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference48 articles.

1. Sustainable management of nutrient returns in excreta on grazed dairy soils;Aarons,2012

2. The Root Zone Water Quality Model,2000

3. A comparative assessment of efficient uncertainty analysis techniques for environmental fate and transport models: application to the FACT model;Balakrishanan;J. Hydrol.,2005

4. The effect of fertiliser and grazing on nitrogen export in surface runoff from rainfed and irrigated pastures in south-eastern Australia;Barlow;Nutr. Cycl. Agroecosyst.,2007

5. Farmer perspectives and practices regarding water pollution control programmes in Scotland;Barns;Agric. Water Manag.,2009

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulating water and nitrogen runoff with APSIM;Soil and Tillage Research;2023-03

2. Controls on species distribution and biogeochemical cycling in nitrate-contaminated groundwater and surface water, southeastern Australia;Science of The Total Environment;2020-07

3. A whole-farm investment analysis of a partial mixed ration feeding system for dairy cows;Animal Production Science;2020

4. Current and future direction of nitrogen fertiliser use in Australian grazing systems;Crop and Pasture Science;2019

5. Evaluating the economics of short-term partial mixed ration feeding decisions for dairy cows;Animal Production Science;2018

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