Datasets

subject: Corn type: dataset

Total is 48 Results
Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin, Mitchell R Tuinstra, 0000-0002-5322-6519

02/11/2022

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.

Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum

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

10.4231/4DQF-3G13

Ian Kaplan, 0000-0003-4469-2750, Jacob Pecenka

08/04/2021

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

agroecosystems Bees Corn Crop yield Entomology Environmental Issues Insecticides Melons pesticides pollinators

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

10.4231/C1W0-8F75

Jeffrey J. Volenec, 0000-0002-5455-6157, Sylvie M. Brouder, 0000-0002-7785-5336

12/18/2019

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.

Agronomy Biomass Corn Grain Yield Indiana Maize Phosphorus Fertilizer Plant Nutrition Potassium Fertilizer Seed Composition Soil Fertility Stover Composition

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

10.4231/CTM1-0Y45

Eileen J Kladivko, 0000-0002-8993-2722, Giorgi Chighladze, 0000-0002-7819-0508, Laura C Bowling, 0000-0002-1439-3154, Lori Abendroth, 0000-0002-0176-7815

12/16/2022

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.

Agronomy Corn Crop yield Drainage Indiana

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

10.4231/Q07D-J369

Danielle Grogan, Iman Haqiqi, 0000-0001-7331-4615, Thomas Hertel, Wolfram Schlenker

06/08/2020

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".

Agricultural Economics climate impacts compound extremes Corn heat stress water stress

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