Skip to main content
ARS Home » Southeast Area » Mississippi State, Mississippi » Crop Science Research Laboratory » Genetics and Sustainable Agriculture Research » Research » Research Project #425032

Research Project: Integration of Site-Specific Crop Production Practices and Industrial and Animal Agricultural Byproducts to Improve Agricultural Competitiveness and Sustainability

Location: Genetics and Sustainable Agriculture Research

Project Number: 6064-21610-010-00-D
Project Type: In-House Appropriated

Start Date: Oct 1, 2013
End Date: Sep 30, 2018

Objective:
Obj 1. Develop ecological and sustainable site-specific agriculture systems, for cotton, corn, wheat, and soybean rotations. 1: Geographical coordinates constitutes necessary and sufficient cornerstone required to define, develop and implement ecological/sustainable agricultural systems. 2: Develop methods of variable-rate manure application based on soil organic matter (SOM), apparent electrical conductivity, elevation, or crop yield maps. 3: Relate SOM, electrical conductivity, and elevation. Obj 2. Develop sustainable and scalable practices for site-specific integration of animal agriculture byproducts to improve food, feed, fiber, and feedstock production systems. 1: Quantify effects of management on sustainability for sweet potato. 2: Balance soil phosphorus (P)/micro–nutrients using broiler litter/flue gas desulfurization (FGD) gypsum. 3: Effects of site-specific broiler litter applications. 4: Manure application/crop management practices in southern U.S. 5: Compare banded/broadcast litter applications in corn. 6: Develop reflectance algorithms for potassium in wheat. 7: Determine swine mortality compost value in small farm vegetable production. Obj 3. Analyze the economics of production practices for site-specific integration of animal agriculture byproducts to identify practices that are economically sustainable, scalable, and that increase competitiveness and profitability of production systems. 1: Evaluate economics of on-farm resource utilization in the south. Obj 4. Determine the environmental effects in soil, water, and air from site-specific integration of animal agricultural and industrial byproducts into production practices to estimate risks and benefits from byproduct nutrients, microbes, and management practices. 1: Quantitatively determine bioaerosol transport. 2: Role of P and nitrogen (N) immobilizing agents in corn production. 3: Assess impact of management on water sources. 1: Quantitatively determine bioaerosol transport. 2: Role of P and nitrogen (N) immobilizing agents in corn production. 3: Assess impact of management on water sources. 4: Impact of FGD gypsum/rainfall on mobilization of organic carbon/veterinary pharmaceutical compounds in runoff/leached water. 5-10..... Obj 5. Integrate research data into regional and national databases and statistical models to improve competitiveness and sustainability of farming practices. 1: Develop broiler house emission models. 2: Apply quantitative microbial risk assessment models to animal agriculture/anthropogenic activities. Obj 6. Develop statistical approaches to integrate and analyze large and diverse spatial and temporal geo-referenced data sets derived from crop production systems that include ecological and natural resource based inputs. 1: Develop novel methods of imaging processing. Obj 7: Develop advanced UAS/UAV application systems and data management systems and Bioinformatics tools that integrate developed GxExM data into precision agricultural crop management for Mid-South crops. The systems and tools should lead to improvements in agricultural productivity and agricultural system landscape management.

Approach:
Multidisciplinary approaches will be utilized in developing sustainable and competitive agricultural practices for crop management systems. Some approaches will use animal, municipal, and industrial waste as fertilizers and organic soil amendments in crop management systems in precision agriculture ways. Presence, prevalence, and fate of nutrients, gaseous emissions, bacterial approaches, and antibiotic resistance associated with these wastes when applied to soils in cropping systems will be addressed. Work will be done in cooperator animal feeding operations (AFO), farms, and experiment station plots. Off-site transport of nutrients, pathogens, and antibiotic resistant bacteria will be determined. Statistical models will be developed for geo-referenced measurements of farming practices and improvements to mixed model analysis methodology will be developed. Remotely sensed data will be combined with on-site field measurements to develop site-specific prescriptions for application of crop management inputs. Information will be developed into best management practices to protect the environment and human and animal health by maximizing crop nutrient utilization, minimizing bacterial contamination and antibiotic resistance, and reducing ammonia and greenhouse gas emissions. Agricultural models will be used to predict sustainability and competitiveness of management practices developed and implemented into best management practice recommendations. Improved decision support tools and technologies based on GxExM will be developed to optimize crop production for better and more sustainable yields in the humid Southeast Agroecosystems. Techniques that utilize and integrate high resolution spectral images for in-season crop management in cropping systems and fields characterized by high soil variability will be developed. Databases, modeling tools, and decision-making paradigms for optimizing and managing, precision application of crop inputs, and crop yield will be developed and utilized. Bioinformatics approach will expand technologies applicable to the Southeastern Agroecosystems by direct and associated investigations of G x E x M interactions in part enabled by data generated by the UAS/UAV research and molecular approaches to soil bioinformatics and the soil microbiome. All these activities will be designed to improve sustainability of crop production in the humid Southeastern Agroecosystem.