Datasets

subject: Corn

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

10.4231/FPHP-0153

Meng-yang Lin , Mitchell R Tuinstra ORCID logo

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

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 ORCID logo , Sylvie M. Brouder ORCID logo

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

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

10.4231/Q07D-J369

Danielle Grogan , Iman Haqiqi ORCID logo , 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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