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

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

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

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