ADVANCING CLIMATE-ADAPTIVE DECISION TOOLS TO REDUCE NUTRIENT POLLUTION FROM AGRICULTURAL FIELDS

• Sponsoring Institution: National Institute of Food and Agriculture
• Project Status: COMPLETE
• Funding Source: OTHER GRANTS
• Reporting Frequency: Annual
• Accession No.: 1004900
• Grant No.: 2013-51130-21490
• Cumulative Award Amt.: $429,000.00
• Proposal No.: 2013-05841
• Project Start Date: Sep 1, 2013
• Project End Date: Aug 31, 2017
• Grant Year: 2013
• Program Code: [110.A]- National Water Resource Proposals

Recipient Organization
CORNELL UNIVERSITY
(N/A)
ITHACA,NY 14853

Performing Department
Crop and Soil Sciences

Non Technical Summary
Commercial agriculture contributes to water quality and quantity concerns in many complex ways, including nutrient contamination of surface and groundwater, and contributions to climate change from greenhouse gas emissions. In fact, persistent agriculture-derived pollution concerns are increasingly gaining prominence as concerns with other sources are being more effectively addressed. Better tools are needed to equip farmers and society to improve current water quality and quantity concerns, and prepare for future water resource challenges related to climate change. Our integrated project combines applied stakeholder-driven research with a high-impact extension and education program that will empower farmers with effective tools and solutions while training the next generation of problem solvers using innovative technologies. The goal of this project is to research, develop, and facilitate the adoption of practical decision tools related to precision nitrogen management and soil health management to improve water quality and quantity in the face of extreme precipitation and drought events. We will advance research and development of the Adapt-N tool, and the new comprehensive Cornell Soil Health Test (CSHT), both developed at Cornell University, use an a network of on-farm research collaborators, and increase the increasing base of involved stakeholders using our tools across the Northeast and Midwest, to test and further advance these new tools.

Animal Health Component

30%

Research Effort Categories

Basic

0%

Applied

30%

Developmental

70%

Classification

Knowledge Area (KA)	Subject of Investigation (SOI)	Field of Science (FOS)	Percent
102	0110	2061	100%

Knowledge Area
102 - Soil, Plant, Water, Nutrient Relationships;

Subject Of Investigation
0110 - Soil;

Field Of Science
2061 - Pedology;

Keywords

nitrogen

corn

mobile app

modeling

soil health

Goals / Objectives
Expand the composition and enhance the utility of the Cornell Soil Health Test.Expand the geographic range and increase soil test data use of the Adapt-N tool. .Develop mobile applications for the Cornell Soil Health Test and Adapt-N.Develop and implement experiential educational programs.Increase integrated and individual implementation of both tools.

Project Methods
Expand the composition and enhance the utility of the Cornell Soil Health Test . This project will develop these two new indicators (soil protein and respiration tests) for inclusion in the Cornell Soil Health Test to address better interpretation and management decision guidance, building on our recent success with developing a Soil Health Management Planning framework based on this test. We will improve the Cornell Soil Health Test by including additional biologically related indicators to better estimate soil characteristics related to nutrient supply and soil microbial community status, which will facilitate more efficient use of N by farmers. We will extract and quantify soil proteins, to better differentiate soil organic matter quality through estimation of the size of the large organic polymerized pool of N. We will measure soil respiration as an estimate of the activity level of the microbial community, to represent in the plenary the ability of the soil to function in terms of the myriad of microbially mediated processes essential to nutrient retention and transformation, organic material acceptance and decomposition, aggregation, nutrient delivery, and ecosystem services such as water purification and toxin and pathogen degradation Analysis. We will develop scoring functions for the new biological indicators in the manner used for other indicators in the Cornell Soil Health Test.Expand the geographic range and increase soil test data use of the Adapt-N tool. We will increase the ability of the Adapt-N tool to utilize soil test-supplied data, particularly from the soil health test. We will parameterize the model's soil organic matter quality (C:N ratio) constant to differentiate between high and low N supply soil organic matter. We will utilize the ratio of organic matter to protein, with a correction empirically determined on a range of soils testing high, medium, and low in nitrogen mineralization potential, as a starting point for test-based organic matter quality parameter estimates. We will utilize information about relative microbial community activity level and aggregate stability (compaction) to refine model rate constants for microbial transformations of N. We will incorporate soil test, field management, fertilizer, and yield data contributed by stakeholders using precision agricultural management equipment (variable application and yield monitoring) to refine the use of these modified model parameters. To accomplish this, we will recruit volunteer farmers (especially from target watersheds, see below) to utilize Cornell provided fertilizer application computer files, and to provide yield monitor files at the end of the growing season. Experimental plot trials will be established on at least 16 fields in 2015 and 2016 to test whether the 'beta' newly-enhanced Adapt-N performs better than the current version of Adapt-N, or grower-selected rates.Develop mobile applications for the Cornell Soil Health Test and Adapt-N. We will design and develop mobile applications for use on tablet computers and smartphones, by farmers and other agricultural professionals, as well as students and extension personnel, which will allow better and more real-time access to informational resources, more ease in soil sampling and submission for testing, more convenient updating of input information, and a greater ability to access reports and recommendations, while also providing feedback and data to our team. We will design and develop a mobile application for the Cornell Soil Health test framework. This app will be designed to guide sampling (incl. You-Tube video), allowing in-location, time-of-sampling reminders of important aspects of quality sample collection such as depth of sampling, surface preparation, subsample compositing, handling, packaging, labeling, and shipping which will contribute to quality measurements and enhance precision and reliability of measured characteristics. The application will allow sample submission forms to be filled out in-application and uploaded when network-connected, including GPS enabled soil type lookup and soil series descriptions, collection, storage, georeferencing and uploading of field-measured characteristics such as penetrometer readings, and to allow capturing, storage, and uploading of relevant photographs and notes to accompany samples.Develop and implement experiential educational programs. We will develop and provide hands-on experiential learning opportunities for students, extension personnel, and farmers in the use and implementation of soil quality testing and management, and adaptive nitrogen management. We will solicit and incorporate feedback on the design and usability of the mobile applications for Adapt-N and the Cornell Soil Health Test in these workshops, training events, and courses. We will develop and provide workshops and training modules for farmers and extension personnel in the theory and practice of Cornell Soil Health Test sampling, report interpretation, and management strategies for addressing identified constraints and conditions of concern for potential off-site water quality impact, internal water supply resilience, and prevention of soil degradation and loss.Similarly, we will develop and offer workshops, webinars, and training modules in the concepts and implementation of adaptive nitrogen management using the Adapt-N tool, to reduce environmental impact through nitrogen losses from denitrification and nitrate leaching to groundwater. We will develop and offer course modules for students at the undergraduate level in the theoretical and practical components of adaptive nitrogen management, and soil and water quality conservation using the Adapt-N tool and the Cornell Soil Health Test framework. We will provide presentations at professional meetings, field days, and scientific conferences on the importance of adaptive nitrogen management and soil and water quality preservation, and on the ongoing efforts and offerings of our team in these respects, targeted to the Corn Belt and Northeast.Increase integrated and individual implementation of both tools. We will increase integrated and individual implementation of both tools in soil and water management across the Northeast and Midwest, as well as capacity to collect and analyze user feedback and data for the purpose of tool advancement. We will anticipate implementation on >50,000 acres and document it on at least 20,000 acres. We will target two watersheds in Iowa and two in New York for implementation. The Storm Lake (NW Iowa) watershed drains to a glacial lake used for recreational purposes and is situated within the MRB. It especially has concerns with P, N and pathogens. Dry Run Creek (NE Iowa) flows into the Upper Iowa River, which in turn contributes to the Upper Mississippi River and ultimately the Gulf of Mexico, where N concerns are paramount. In New York, the Peconic Estuary watershed (eastern Long Island) will be targeted. Further, the Salmon Creek watershed contains intensive dairy and grain production farms and drains into Cayuga Lake, one of the Finger Lakes in Central New York, where P loading is of high concern. In these watersheds, we will target educational efforts and work with local teams (extension. NRCS, SWCD, watershed organizations, etc.) to encourage adoption of the enhanced Cornell Soil Health Test and Adapt-N tools for better sustainable soil quality and nutrient management.

Progress 09/01/13 to 08/31/17

Outputs
Target Audience:Primary beneficiaries of Adapt-N are Northeast and Midwest corn producers using a variety of management styles and scales (Adapt-N is scale-neutral), but particularly those who already have sidedressing equipment. However, many of our collaborators report that the Adapt-N tool, and associated learning opportunities, are encouraging growers in their area to shift N application toward sidedressing, away from pre-plant application. The project is also benefiting agricultural service providers including consultants, extension personnel, NRCS and SWCD staff, and researchers, who can use the tool to teach about N dynamics and to provide better N management advice. In addition, our Comprehensive Assessment of Soil Health framework is benefiting similar audiences by providing an approach to promote the adoption of soil health management practices which can increase infiltration and water storage capacity, reduce runoff and erosion, improve nutrient cycling, and increase carbon sequestration through measurement and demonstration. Society is a secondary beneficiary through improved water quality, reduced greenhouse gas losses, and mitigation of climate change associated with better N management on the most common and environmentally impactful crop in the U.S. Using average N savings of 30 lb/ac and an estimating a total of 200,000 acres using Adapt-N recommendations, 2014, 2015 and 2016 use of the tool alone can be estimated to have reduced the amount of N applied to these fields by over 6,000,000 pounds, saving producers a total of at least $3M. Changes/Problems:Although we reached or exceeded project objectives and milestones and the project was largely executed as planned, there were two major course corrections. The first was that we transitioned from the loss of the initial project manager, Bianca Moebius-Clune, to be the Director of the newly created USDA/NRCS Soil Health Division. Secondly, we transitioned from the Cornell Adapt-N research team maintaining and improving the tool to establishing a public-private partnership with Agronomic Technology Corporation (ATC) to sustain Adapt-N availability to the public. With this transition, we lost a little time to readjust and therefore needed a year extension. However these changes benefited the overall objectives of the project by promoting Soil Health and the adoption of Adapt-N on a broader scale. What opportunities for training and professional development has the project provided?During the four year project, we reached at least 7,900 people through our direct outreach efforts, and many more indirectly through our partners, publications, social media etc. Our team organized or participated in nearly 120 events providing Soil Health and Adapt-N programming. We have provided over 250 hours of instruction and activities, for over 14,000 person-hours of training. Amongst these efforts were annual intensive Adapt-N workshops and webinars, intensive Soil Health 1-day workshops, as well as two week -long Train the Trainer Soil Health Workshop in 2014 and 2015 attended by extension, non-profit, private, and governmental agricultural stakeholders from across the U.S. and several other countries. Our soil health lab has trained undergraduate and graduate students, post docs, visiting scientists, and external stakeholders in the methods used and rationale for these. The team has also contributed materials toward multiple courses. A complete list of presentations, webinars, field days and trainings is available in the "Other Products" section of the report. How have the results been disseminated to communities of interest?We are keeping the Adapt-N and Soil Health websites up to date (listed under products). The Cornell Soil Health Website continues to provide up-to-date content on soil health testing available to the public at http://soilhealth.cals.cornell.edu, and a blog, e-list, and social media presence were established (facebook.com/soilhealth1; twitter.com/soilhealth1). The webinar workshops that were provided (http://adaptn.cals.cornell.edu/webinars/index.html) as well as other webinars and educational materials on the effective use of Adapt-N for precision nitrogen management in corn are available at http://adapt-n.cals.cornell.edu/pubs/index.html. The commercial version of Adapt-N is available at the company's website http://www.adapt-n.com/. The Cornell Institute for Climate Change and Agriculture has been initiated, and their website displays both of our tools available to stakeholders: http://climatechange.cornell.edu/tools-resources/agriculture-resources/. Finally, through New York State funding, a New York State Soil Health Initiative was created to serve as a central hub for information and networking related to soil health in New York State. A website has been created to serve as a clearinghouse to distribute to stakeholders. It is available at: https://blogs.cornell.edu/soilhealthinitiative/. We have provided educational programming (under training opportunities above) to enable CCAs, conservation agencies and farmers to use these tools effectively. Notably, with increasing interest from service providers and growers across the Northeast and Midwest, we provided intensive Adapt-N workshops and webinar trainings on Adapt-N in the springs of 2013 and 2014 that drew around 200 people each year. We also planned and hosted an intensive Soil Health 1-day workshops, as well as two week -long Train the Trainer Soil Health Workshop in 2014 and 2015 attended by extension, non-profit, private, and governmental agricultural stakeholders from across the U.S. and several other countries. In all, we have reached nearly 8,000 growers, industry professionals and members of the public through 118 presentations given at field days, winter meetings, regional trainings, scientific meetings, workshops, and webinars. 19 articles were published in extension newsletters, 5 manuscripts were accepted into peer-reviewed journals, two training manuals were published, 2 websites were significantly updated and two social media accounts have been maintained with project-related content. In all we have provided over 250 hours of instruction and activities, for over 14,000 person-hours of training. Our soil health lab has trained undergraduate and graduate students, post docs, visiting scientists, and external stakeholders in the methods used and rationale for these. The team has also contributed materials toward multiple courses. What do you plan to do during the next reporting period to accomplish the goals?All major objectives have been achieved. The project has been completed. Nothing further to report here.

Impacts
What was accomplished under these goals? Non-Technical Summary: Nitrogen (N) typically accounts for the largest monetary input for corn production. However, excessive N may be readily lost to the environment through runoff, leaching and volatilization. N losses may negatively impact yield as well. Better tools are needed to equip producers to effectively apply fertilizer and manure N to enhance crop productivity and farm profitability while decreasing farm operation costs and minimizing nutrient loss to the environment. The goal of this project was to research, develop, and facilitate the adoption of practical decision tools related to precision N and soil health management to improve water quality and quantity in the face of extreme weather events. We advanced research and development of the Adapt-N tool, and the updated Comprehensive Assessment of Soil Health (CASH), using a network of on farm research, while increasing the base of involved stakeholders. Our Adapt-N tool (adapt-n.com) takes a computational approach via a dynamic simulation model that allows for more precise and efficient N management in corn systems compared to the current static recommendations. The tool builds the effects of weather, including more frequent extreme weather events, into a more accurate in-season N recommendation system. CASH provides clients with information about physical, biological and chemical soil constraints and management options to alleviate such constraints. Many agronomically essential processes in the soil, such as soil organic matter (SOM) and N mineralization and C sequestration, are controlled by soil microbial communities. SOM and N mineralization need to be better understood and better represented in soil testing and dynamic, computational N management tools. Accomplishments PROGRESS The team met both of the major development goals during the course of the project, including the development of educational programming for soil health and adaptive nitrogen management, and the development and implementation of major revisions of the CASH. Development of both new service-lab protocols (soil protein content and respiration) was completed. These protocols have been moved into the CASH protocols. We have completed the development of web-based applications for both Adapt-N and the CASH reports. A greenhouse bioassay protocol has been developed and refined to allow for measurement of plant N availability from soils, and the predictive ability of various indicator measurements for prediction of this N availability.In addition a manuscript that outlines the background, justification and procedure for soil protein as a soil health indicator has been written. A protein quantification protocol was modified extensively to decrease intra-sample variability, improve sample dispersal and separation steps, and to facilitate higher throughput in our service lab. A scoring function was developed based on an observed regional distribution in soil protein content. Soil protein content appears to predict overall soil quality scores from the CASH better than any other individual indicator. We are using a sealed chamber alkali trap respirometry for assessment of soil CO2 evolution, as an indicator of metabolic activity of the soil biota. A scoring function was developed that takes into account texture in a continuous fashion. The soil health assessment report has been modified and substantially expanded, to meet grower and agricultural service provider needs. A new edition of the Cornell Soil Health Manual has been completed and is available at http://bit.ly/SoilHealthTrainingManual. We have gathered data for calibration and validation of the model through 113 on-farm trials that were successfully completed in New York and Iowa. Recently Adapt-N added a cover crop module to quantify benefits of cover crops on N availability, we also developed a comprehensive educational website, a training manual, multiple factsheets, articles summarizing trial results, and multiple case studies. Adapt-N was licensed to Agronomic Development Corporation (ATC) in 2014 to provide improved user services, interface, and functionality and is now available as a commercial tool (Adapt-N.com). This has greatly expanded the reach of the tool through (i) significant software improvements and (ii) professional marketing. Throughout the duration of the project Adapt-N operated as a "public-private partnership" where Cornell remained responsible for the research component and scientific enhancements, and ATC focused on the business aspects. This partnership worked well. Just after this project ended, ATC was acquired by Yara International ASA, a world leader in the fertilizer industry. It is a Norway-based company that is the largest global manufacturer of synthetic nitrogen and has a retail presence in nearly every country in the world. This is an exciting development as Yara has a strong commitment to sustainability (see yara.com). The acquisition of ATC and Adapt-N will make them one of the global leaders in digital agriculture. Also, Yara will be making significant further investments in Adapt-N, which will hopefully make it into a global tool. Due to the transition from the acquisition, specific numbers on Adapt-N users on licensed accounts are not available to us at this time but we know that there is roughly 1M acres were entered into the system and a portion of these acres include areas of NY and Iowa. In addition, we have 72 growers and 22 Ag Service Providers with accounts on the research version of the model at the closing of the grant. OUTCOMES The tool's economic and environmental performance was evaluated through the involvement of 8 Ag Service Providers, 9 commercial farms, 3 research farms and 40 on-farms trials over 3 years (2014-16) for a total of 113 trials. We modeled for yield response using statistical models to estimate the economic optimum N rate to assess the precision of Adapt-N recommendations. Furthermore measured soil nitrate and ammonium results were compared to modeled results to assess the precision of Adapt-N. The results are very positive, and provide direction for improvement. Adapt-N performs well when used correctly, and can improve profits while reducing environmental losses through leaching and denitrification (win-win). We have demonstrated average reductions in N inputs by 29 lbs/ac, with the same yields and higher farmer profits ($29/ac). We have also demonstrated that the use of Adapt-N can result in 35-40% reductions in leaching and gaseous losses of nitrogen. Our results to date suggest that Adapt-N is as useful a tool for calculating needed N increases during wet years, as it is for avoiding excess N in normal years. Adapt-N provides strong incentive for shifting N applications to sidedress from pre-plant applications, as early season weather variability drives losses of early-applied N, and economic optimum N rates. While there are no immediate environmental benefits of Adapt-N recommending higher rates in a wet year, we are already seeing that the impact of this reality on farmers will be to encourage many more farmers to shift their N applications to sidedress time, and this will then have significant positive environmental impact in future years (both wet and dry). Thus beneficiaries of this project include not only producers and their service providers, but also the general public. During the course of this project 118 presentations were given at field days, regional trainings, winter and scientific meetings, workshops, and webinars reaching a direct audience of 7,928 growers, industry professionals and members of the public. 19 articles were published in extension newsletters, 5 manuscripts were accepted into peer-reviewed journals, two training manuals were published, 2 websites were significantly updated and two social media accounts have been maintained with project-related content. Stakeholder awareness is increasing and adoption of both tools is accelerating.

Publications

• Type: Journal Articles Status: Published Year Published: 2016 Citation: Kinoshita, R., H. van Es, J. Dantinne, M. Twining. 2016. Within-Field Profitability Analysis Informs Agronomic Management Decisions in the Mid-Atlantic USA. Agricultural and Environmental Letters. December 28th, 2016. doi:10.2134/ael2016.09.0034.
• Type: Other Status: Published Year Published: 2015 Citation: M. Ball, B. Moebius-Clune, S. Gomes, A. Ristow, and H. van Es. 2015. Farmers with Diverse Nitrogen Management Practices Find Value. Whats Cropping Up? Vol. 25 No.1. Jan.-Feb, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2015 Citation: Fennell, L., B. Moebius-Clune, A. Ristow, H. van Es. 2015. Corn Stalk Nitrate Test Shows Low Accuracy for Evaluating Corn Deficiencies and Excesses. What's Cropping Up? Vol. 25 No. 4. Sept.-Oct, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2015 Citation: Fennel, L., S. Sela, A. Ristow, H. van Es, S. Gomes. 2015. Comparing Static and Adaptive N Rate Tools for Corn Production. What's Cropping Up? Vol. 25 No. 5. Nov.-Dec, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2015 Citation: Fennel, L., S. Sela, A. Ristow, B. Moebius-Clune, D. Moebius-Clune, R. Schindelbeck, H. van Es, S. Gomes. 2015. Adapt-N Recommendations Reduce Environmental Losses. What's Cropping Up? Vol. 25 No. 5, Nov.-Dec., A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY, Cornell University, Ithaca, NY
• Type: Journal Articles Status: Published Year Published: 2016 Citation: Sela, S., H. M. van Es, B. N. Moebius-Clune, R. Marjerison, J. Melkonian, D. Moebius-Clune, R. Schindelbeck, and S. Gomes. 2016. Adapt-N Outperforms Grower-Selected Nitrogen Rates in Northeast and Midwestern United States StripTrials. Agron. J. 108:1726-1734. doi:10.2134/agronj2015.0606
• Type: Journal Articles Status: Published Year Published: 2016 Citation: Marjerison,R.D. J. Melkonian, J.L. Hutson, H. M. van Es, S.Sela, L.D. Geohring, J. Vetsch. 2016. Drainage and nitrate leaching from artificially drained maize fields simulated by the Precision Nitrogen Management model. Journal of Environmental Quality. 45:20442052.
• Type: Journal Articles Status: Published Year Published: 2017 Citation: Sela, S., H. M. van Es, B. N. Moebius-Clune, R. Marjerison, D. Moebius-Clune, R. Schindelbeck, K. Severson, E. Young. 2017. Dynamic model improves agronomic and environmental outcomes for maize N management over static approach. Journal of Environmental Quality. JEQ-2016-05-01822-TR.R2. doi:10.2134/jeq2016.05.0182.
• Type: Journal Articles Status: Published Year Published: 2017 Citation: Fine, A.K., H. van Es, R. Schindelbeck. 2017. Statistics, Scoring Functions, and Regional Analysis of a Comprehensive Soil Health Database. Soil Science Society of America Journal. Published online June 30, 2017. https://dl.sciencesocieties.org/publications/sssaj/pdfs/81/3/589
• Type: Books Status: Published Year Published: 2016 Citation: Moebius-Clune, B.N., D.J. Moebius-Clune, B.K. Gugino, O.J. Idowu, R.R. Schindelbeck, A.J. Ristow, H.M. van Es, J.E. Thies, H.A. Shayler, M.B. McBride, K.S.M. Kurtz, D.W. Wolfe, and G.S. Abawi. 2016. Comprehensive Assessment of Soil Health  The Cornell Framework, Edition 3.2, Cornell University, Ithaca, NY.
• Type: Books Status: Published Year Published: 2014 Citation: Moebius-Clune, B.N., M. Carlson, H.M. van Es, J.J. Melkonian, A.T. DeGaetano, L. Joseph. 2014. Adapt-N Training Manual, Extension Series No. E14-1, Edition 1.0. Department of Crop and Soil Science, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2014 Citation: Moebius-Clune, B.N., M. Ball, H. van Es, J. Melkonian. 2014. Adapt-N Responds to Weather, Increases Grower Profits in 2013 Strip Trials. Whats Cropping Up? Vol. 24 No.3, May - June, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2014 Citation: Ball, M., B.N. Moebius-Clune, H. van Es, J. Melkonian. 2014. New York Farm Delves Deeper with Adapt-N. Whats Cropping Up? Vol. 24 No.3, May - June, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2014 Citation: B. Moebius-Clune, M. Ball, H. van Es, and J. Melkonian. 2014. Adapt-N Boosts Profits and Cuts N Losses in Three Years of On-Farm Trials in New York and Iowa. Vol. 24 No.5 Sept.-Oct, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2014 Citation: Moebius-Clune, B., D. Moebius-Clune, R. Schindelbeck, H. van Es, D. Cox, B. Smith. 2014. Implementation of A soil Health Management Plan Resolves Pond Eutrophication at Tuckaway Farms, NH. Whats Cropping Up? Vol. 24 No.5 Sept.-Oct, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2016 Citation: Ristow, A., S. Sela, M. Davis, L. Fennell, H. van Es. 2016. Water Quality Impacts Reduced with Adapt-N Recommendations. What's Cropping Up? Vol. 26 No. 2, March-April, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2016 Citation: Ristow, A., S. Sela, H. van Es, R. Marjerison, J. Melkonian, R. Schindelbeck, D. DeGolyer, K. Severson, E. Young, L. Fennell. 2016. Use of Adapt-N Results in Better Agronomic and Environment Outcomes than the Corn Calculator. Whats Cropping Up? Vol. 26 No. 3, May-June, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2016 Citation: Fennell, L., R. Schindelbeck, A. Ristow, H. van Es. 2016. Winthrop Square Park Project: Using Cornell Universitys Comprehensive Assessment of Soil Health in an Urban Environment. Whats Cropping Up? Vol. 26 No.4. July-Aug, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2016 Citation: Fine, A.K., A. Ristow, R. Schindelbeck, H. van Es. 2016. Update of Scoring Functions for Cornell Soil Health Test. Whats Cropping Up? Vol. 26 No. 6, Nov-Dec, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2016 Citation: Fine, A.K., A. Ristow, R. Schindelbeck, H. van Es. 2016. Comparing Soil Health Results from Northeast, Midwest and Mid-Atlantic Regions. Whats Cropping Up? Vol. 26 No. 6, Nov-Dec, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2017 Citation: Kinoshita, R., A. Ristow, H. van Es, J. Dantinne, and M. Twining. 2017. Within-Field Profitability Analysis Informs Agronomic Management Decisions. Whats Cropping Up? Vol. 27 No. 1, Jan-Feb, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2017 Citation: Fennell. L., A. Ristow, R. Schindelbeck, K. Kurtz, and H. van Es. 2017. The Soil Health Manual Series: Fact sheets from the Comprehensive Assessment of Soil Health Training Manual. Whats Cropping Up? Vol. 27 No. 1, Jan-Feb, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2017 Citation: Cornell University Comprehensive Assessment of Soil Health Laboratory Soil Health Manual Series. January 2017. Schindelbeck, R.R., A.J. Ristow, K.S. Kurtz, L.F. Fennell, H.M. van Es
• Type: Other Status: Published Year Published: 2017 Citation: Kinoshita, R., L. Fennell, M. Davis, A. Ristow, R. Schindelbeck, and H. van Es. 2017. Whole-profile soil health in long-term corn residue and tillage management. Whats Cropping Up? Vol. 27 No. 2, March-April, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Other Status: Published Year Published: 2017 Citation: Schindelbeck, R., A. Ristow, M. Ryan and H. van Es. 2017. Reduced Tillage and Cover Crops Have Additive Effect for Improving Soil Health. Whats Cropping Up? Vol. 27 No. 3, May-June, A newsletter for NY field crops and soils, Soil and Crop Sciences Section, Cornell University, Ithaca, NY
• Type: Websites Status: Published Year Published: 2015 Citation: soilhealth.cals.cornell.edu
• Type: Websites Status: Published Year Published: 2015 Citation: http://blogs.cornell.edu/newadaptn/
• Type: Conference Papers and Presentations Status: Published Year Published: 2013 Citation: Bianca Moebius-Clune. 10/24/13. Chazy, NY. Adapt-N for Site-Specific and Weather-Adjusted Nitrogen Management in Corn: A Tool to Minimize Nitrogen Leaching to Tile Drainage Water&and More. The Drainage Conference at the Miner Institute. 90 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2013 Citation: Bianca Moebius-Clune. 11/4/13. Tampa, FL. Site-Specific and Weather-Adjusted Nitrogen Management in Maize: Adapt-N Increased Grower Profits and Decreased Nitrogen Inputs in Two Seasons of On-farm Strip Trials. ASA-CSSA-SSSA Annual Meeting. 50 in attendance.
• Type: Other Status: Published Year Published: 2016 Citation: Cornell University Comprehensive Assessment of Soil Health Laboratory Standard Operating Procedures, February 2016. Schindelbeck, R.R., B.N. Moebius-Clune, D.J. Moebius-Clune, K.S.M. Kurtz and H.M. van Es.
• Type: Conference Papers and Presentations Status: Published Year Published: 2013 Citation: Harold van Es. 11/5 and 11/6/13. Tampa, FL. Can Models and Weather Databases Enhance the Use of Sensor-Based Nitrogen Management? ASA-CSSA-SSSA Annual Meeting. 90 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: David DeGolyer.1/14. Batavia, NY Adapt-N Performance.Corn Congress. 575 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Ristow. 7/28/15. Greensboro, NY. Adaptive Nitrogen Management and Soil Health Assessment. Soil and Water Conservation Society Annual Meeting. 50 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Harold van Es. 7/30/15. St. Louis, MI. Adapt-N Performance. InfoAg Conference. 200 in attendance
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Shai Sela 10/11/15. Ithaca, NY Employing cloud computing technologies and precision N management as a tool to sustainable agricultural intensification. 2nd annual International Conference on global food security. 40 people in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Shai Sela 11/15/15. Minneapolis, MN. N Recommendations in North Carolina: Evaluation of Adapt-N. ASA, CSSA and SSSA annual meeting. 40 people in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Shai Sela. 11/15/15. Minneapolis, MN. In search of the EONR: A comparison between a static and adaptive N management approaches using extensive multi-rate field trials. ASA, CSSA and SSSA annual meeting. 40 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Shai Sela 11/16/15. Minneapolis, MN. Adapt-N Maize N management tool: Lessons learned from long-term field trials in IA and NY. ASA, CSSA and SSSA annual meeting. 40 people in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Shai Sela. 2/5/16. Ithaca, NY. Adapt-N modeling. Cornell IGERT Seminar Series. 20 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Harold van Es. 4/22/16. Vienna, Austria. Adapt-N: A cloud-based computational tool for crop nitrogen management that improves production and environmental outcomes. European Geoscience Union Meeting. 50 people in attendance
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Shai Sela. 4/22/16. Vienna, Austria. Surplus N in US maize production: Informing data-driven policies using the Adapt-N model. European Geoscience Union Meeting. 50 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Shai Sela. 6/29/16. Skara, Sweden. Improving Nutrient Use Efficiency and Reducing Environmental Losses of Nitrogen: Insights from a Process-Based Model and On-Farm Trials 19th International N workshop.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Aaron Ristow. 7/25/16. Louisville, KY. Adapt-N: Comparing Static and Adaptive N Rate Tools for Corn Production. 71st SWCS International Annual Conference. 40 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Harold van Es. 8/3/2016. Adapt-N Performance. 13th International Conference on Precision Ag, 60 people in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Shai Sela. 8/3/16. Using the Adapt-N Model to Inform Policies Promoting the Sustainability of US Maize Production. 13th International Conference on Precision Ag. 50 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Becky Majerision. 11/7/2016. Phoenix, AZ. Simulation of Nitrous Oxide Emissions from Maize Fields Using the Precision Nitrogen Management Model. ASA,CSSA and SSSA annual meeting. 10 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Harold van Es. 11/9/2016. Phoenix, AZ. Comparing Adapt-N to Static N recommendation approaches for US maize production. ASA,CSSA and SSSA annual meeting. 40 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: McLellan (project collaborator). 11/9/2016. Phoenix, AZ. Meeting Agronomic and Environmental Goals: nitrogen surplus as a performance indicator for sustainable food supply. ASA,CSSA and SSSA annual meeting. 70 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Shai Sela. 11/9/2016. Phoenix, AZ. The Relative Importance of Fertilizer Timing vs. Form in Controlling Environmental N Losses in US Corn Production. ASA,CSSA and SSSA annual meeting. 40 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2016 Citation: Shai Sela 11/9/2016. Phoenix, AZ. Nitrogen Surplus and Nitrogen Losses in US Corn Production: model simulations and management implications on at the ASA,CSSA and SSSA annual meeting. 40 in attendance
• Type: Conference Papers and Presentations Status: Published Year Published: 2017 Citation: Bob Schindelbeck. 4/25/17. Keenesburg, CO. Soil Health-Pipeline Reclamation. USA Reclamation Summit. 180 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2017 Citation: Shai Sela, Sills, D. van Es, H., McCann, M., Posmanik, R. 7/10/17. Herzliya, Israel. From waste management to a valuable resource: Nitrogen footprint of applications, state incentives and potential farmer revenues. 45th annual conference of the Israel Society of Ecology and Environmental Sciences. 30 in attendance.
• Type: Conference Papers and Presentations Status: Published Year Published: 2017 Citation: Shai Sela, van Es, H. 7/11/17. Herzliya, Israel. Dynamic N management can substantially reduce soil N surplus and increase the sustainability of US corn production. 45th annual conference of the Israel Society of Ecology and Environmental Sciences. 30 in attendance.