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  1. Grain nutrient removal of corn influenced by the addition of nitrogen, sulfur fertilizers to a long-term tillage and crop rotation study conducted in the US Corn Belt

    2023-02-02 01:33:36 | Datasets | Contributor(s): Tony J Vyn, Garrett S Verhagen, Terry D West, Alicia West | doi:10.4231/9BA5-KK34

    Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain at R6 across seven site-years involving tillage, crop rotation, nitrogen (2015-19), and sulfur treatments (2020-21). Part of the Long-Term Tillage study in West Lafayette, IN.

    https://purr.purdue.edu/publications/4193

  2. Agronomic responses of soybean to long-term implementation of tillage and crop rotation systems in Indiana from 1975 to 2022

    2023-02-02 01:08:37 | Datasets | Contributor(s): Tony J Vyn, Garrett S Verhagen, Terry D West, D R Griffith, J V Mannering | doi:10.4231/2KQ5-KR50

    This dataset includes soybean population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.

    https://purr.purdue.edu/publications/4190

  3. Agronomic responses of corn to long-term implementation of tillage and crop rotation systems in the US Corn Belt, from 1975 to 2022

    2023-02-02 01:01:02 | Datasets | Contributor(s): Tony Vyn, Garrett Verhagen, Terry D West, J V Mannering, D R Griffith | doi:10.4231/E031-BS21

    This dataset includes corn population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.

    https://purr.purdue.edu/publications/4180

  4. Nutrient analysis of corn earleaf at R1 under tillage, crop rotation, nitrogen, and sulfur treatments within a long-term tillage study

    2023-01-11 18:51:19 | Datasets | Contributor(s): Tony J Vyn, Garrett S Verhagen, Terry D West, Alicia West | doi:10.4231/44K5-EJ32

    Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn earleaf at R1 under tillage, crop rotation, nitrogen (2017, 2019), and sulfur treatments (2020, 2021). Part of the Long-Term Tillage study in West Lafayette, IN.

    https://purr.purdue.edu/publications/4192

  5. Grain and stover nutrient content in corn at maturity grown under multiple tillage, crop rotation, and nitrogen treatments

    2023-01-11 18:50:27 | Datasets | Contributor(s): Tony J Vyn, Garrett S Verhagen, Terry D West, Alicia West | doi:10.4231/GPZW-DR78

    Nutrient content (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain and shoot at maturity across five site-years (2015-2019) under tillage, crop rotation, and nitrogen treatments. Part of the Long-Term Tillage study in West Lafayette, IN.

    https://purr.purdue.edu/publications/4194

  6. Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

    2022-12-16 16:03:20 | Datasets | Contributor(s): Eileen J Kladivko, Laura C Bowling, Giorgi Chighladze, Lori Abendroth | doi:10.4231/CTM1-0Y45

    This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.

    https://purr.purdue.edu/publications/3954

  7. Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

    2022-02-10 21:52:29 | Datasets | Contributor(s): Meng-yang Lin, Mitchell R Tuinstra | doi:10.4231/FPHP-0153

    High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

    https://purr.purdue.edu/publications/3958

  8. Implementing IPM: effects on pests, pollinators, and crop yield

    2021-08-04 18:13:48 | Datasets | Contributor(s): Jacob Pecenka, Ian Kaplan | doi:10.4231/4DQF-3G13

    Data on pesticide use, insect pests, pollinators, and crop yield across multiple years in a multi-crop agroecosystem.

    https://purr.purdue.edu/publications/3841

  9. Model Code for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand

    2020-06-05 23:05:15 | Datasets | Contributor(s): Iman Haqiqi, Danielle Grogan, Thomas Hertel, Wolfram Schlenker | doi:10.4231/Q07D-J369

    This Stata code estimates a model to investigate the impacts of compound extremes, water stress, and heat stress on crop yields. It requires "soilMoistureData.dta".

    https://purr.purdue.edu/publications/3510

  10. Maize Response to P and K in 2006. Experiment 2 at Throckmorton Purdue Agricultural Center: Yield, Soil and Tissue P and K, and Stover and Grain Composition

    2019-12-10 16:31:04 | Datasets | Contributor(s): Jeffrey J. Volenec, Sylvie M. Brouder | doi:10.4231/WWSK-RA65

    Maize was grown in 2006 in plots differing in soil test P and K. Yield and plant composition were determined.

    https://purr.purdue.edu/publications/3356

  11. Maize Response to P and K in 2006. Experiment 1 at Throckmorton Purdue Agricultural Center: Yield, Soil and Tissue P and K, and Seed and Stover Composition

    2019-12-09 21:36:40 | Datasets | Contributor(s): Jeffrey J. Volenec, Sylvie M. Brouder | doi:10.4231/C1W0-8F75

    Grain and stover yield and composition were determined for maize grown in soil previously fertilized annually for 8 years with potassium (K, 0 to 400 kg K/ha) and phosphorus (P, 0 to 75 kg P/ha) resulting in large differences in soil test P and K.

    https://purr.purdue.edu/publications/3355

  12. Busia Crop Suitability Maps

    2019-11-08 15:19:15 | Datasets | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/VA77-JB85

    These are suitability classes defining the requirements for various crops/ land use types.

    https://purr.purdue.edu/publications/3266

  13. Data For Relationships of Nitrous Oxide Emissions to Fertilizer Nitrogen Recovery Efficiencies in Rain-fed Corn Systems: Research Foundation Building

    2019-07-05 13:44:28 | Datasets | Contributor(s): Rex Omonode, Tony Vyn | doi:10.4231/NSKN-0502

    Tillage affected relationships between N2O and NRE; stronger negative linear relationships under no-till and strip-till compared to moldboard. Ecological intensification increased grain yield without significant increase of N2O emission.

    https://purr.purdue.edu/publications/3117

  14. Application of Open Path Fourier Transform Infrared Spectroscopy (OP-FTIR) to Measure Greenhouse Gas Concentrations from Agricultural Fields

    2019-06-06 04:00:00 | Datasets | Contributor(s): Cheng-Hsien Lin, Cliff Johnston, Richard Grant, Albert Heber | doi:10.4231/06W5-J904

    Application of Open Path Fourier Transform Infrared Spectroscopy (OP-FTIR) to Measure N2O and CO2 Concentrations from Agricultural Fields

    https://purr.purdue.edu/publications/3216

  15. Data for Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis

    2018-11-02 18:26:16 | Datasets | Contributor(s): Alison J Eagle, Craig F. Drury, Ardell D. Halvorson, John P. Hoben, Bijesh Maharjan, Timothy B. Parkin, G. Philip Robertson, Douglas R. Smith, Rodney T. Venterea | doi:10.4231/R7NS0S57

    Data used in Eagle et al. 2017 (Soil Sci. Soc. Am. J. 81:1191–1202; doi:10.2136/sssaj2016.09.0281). Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis

    https://purr.purdue.edu/publications/3063

  16. Purdue Agronomy Farm Corn Solar Radiation Intercepted (SRI) (841805)

    2015-07-28 00:00:00 | Datasets | Contributor(s): Kevin P. Gallo | doi:10.4231/R7B27S7R

    The objectives of this research are 1) the identification and measurement of corn crop canopy variables, 2) development of relationships between identified variables, and 3) development and testing of methods in corn crop yield models

    https://purr.purdue.edu/publications/1937

  17. Purdue Agronomy Farm Corn Solar Radiation Intercepted (SRI) (831805)

    2015-07-22 15:01:59 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R7V122QR

    The overall objectives of this research are the identification and measurement of corn crop canopy variables which are related to crop growth and final yield and relationships between those variables and remotely sensed canopy spectral reflectance.

    https://purr.purdue.edu/publications/1908

  18. Purdue Agronomy Farm Corn Solar Radiation Intercepted (SRI) (821805)

    2015-07-22 14:35:44 | Datasets | Contributor(s): Kevin P. Gallo | doi:10.4231/R7W093VK

    The overall objectives of this research are the identification and measurement of corn crop canopy variables which are related to crop growth and final yield and relationships between those variables and remotely sensed canopy spectral reflectance.

    https://purr.purdue.edu/publications/1901

  19. Purdue Agronomy Farm Corn Cultural Practices (821803)

    2015-07-22 14:34:06 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R74J0C2V

    The objectives of this experiment are to determine (1) the threshold of early season spectral detection of corn, (2) the spectral response of corn as a function of growth and amount of vegetation, and (3) the effect of soil background differences.

    https://purr.purdue.edu/publications/1899

  20. Purdue Agronomy Corn Sun-View Angle (821802)

    2015-07-22 14:31:50 | Datasets | Contributor(s): K. Jon Ranson | doi:10.4231/R78913TM

    The purpose of this experiment is to characterize a corn field by its reflectance at various view and illumination angles and by its physical and agronomic attributes.

    https://purr.purdue.edu/publications/1897

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