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This factsheet for farmers describes ways to control the harmful effects of excess nutrients while maintaining healthy, productive farm crops. Steps covered include testing your soil and following the soil testing recommendations, setting realistic yield goals, choosing the most suitable nitrogen sources, applying nitrogen correctly, using manure as a nutrient source, controlling erosion, managing water flow and fencing animals away from water flow.
This publication discusses how excess zinc and copper from animal manure can lead to soil toxicity and harm crops in North Carolina. It covers where zinc and copper come from, potential harmful effects, and ways to prevent toxicity. Management strategies include soil testing, accurate manure application, record-keeping, and adjusting animal feed. Mitigation methods like soil turnover and pH modification are also discussed.
This publication provides updated recommendations for phosphorus fertilizer application in corn, soybean, and small grains crops. It includes background and historical information about phosphorus critical levels, phosphorus rate recommendations, phosphorus accumulation in soils, and changes in recommendations.
This publication addresses nutrient management concerns as they relate to land application of animal wastes, municipal biosolids, industrial residuals and agricultural by-products, with a focus on phosphorus application and its impact on the environment. Methods for reducing phosphorus loss from land application sites are presented as general guidance for managers of land application systems, who must be knowledgeable of regulatory issues and permit restrictions as they relate to phosphorus and nutrient management.
This publication discusses how the Nitrogen Loss Estimation Worksheet Tool can be used to account for agricultural nitrogen levels as an alternative to water quality monitoring.
This publication discusses the results of recent nitrogen rate trials in the North Carolina coastal plain that assessed the recommendations of the Realistic Yield Expectation (RYE) database.
