Subject
- Agronomy 10
- Agriculture 1
- Biochemistry 1
Creator
- Mitchell R Tuinstra, 0000-0002-5322-6519 5
- Terry D West 5
- Garrett S Verhagen 4
- Seth A Tolley, 0000-0001-9664-3534 4
- Tony J Vyn, 0000-0001-9860-4475 4
- Alicia West 3
- D R Griffith 2
- Geoffrey Alistair Sanchez, 0009-0002-0604-260X 2
- J V Mannering 2
- Jeffrey J. Volenec, 0000-0002-5455-6157 2
Type
- Dataset 16
Date
Total is 16 Results
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
10.4231/WWSK-RA65
Jeffrey J. Volenec
,
Sylvie M. Brouder
12/18/2019
Maize was grown in 2006 in plots differing in soil test P and K. Yield and plant composition were determined.
Agronomy Corn Grain Yield Indiana Maize Phosphorus Fertilizer Plant Nutrition Potassium Fertilizer Soil Fertility Stover Composition
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model
10.4231/JE4B-8J88
Cheng-Hsien Lin
,
Cliff Johnston
,
Richard H Grant
09/21/2020
This file includes the data used in the figures of the manuscript entitled 'Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model'.
A backward Lagrangian stochastic (bLS) dispersion model Agronomy Atmospheric measurements Greenhouse Gas Emissions Maize multiple emission sources N2O OP-FTIR
Best linear unbiased predictions (BLUPs) for ear photometry traits of 831 testcross maize hybrids. This dataset was used in ANOVA and tukey testing to differentiate maize heterotic groups.
10.4231/D2JJ-Y263
Mitchell R Tuinstra
,
Seth A Tolley
10/12/2020
Ear photometry was used to characterize 298 ex-PVP inbred lines and 274 Drought Tolerant Maize for Africa (DTMA) inbred lines when crossed to Iodent (PHP02) and/or Stiff Stalk (2FACC) testers for 25 yield-related traits in 2017 and 2018.
Agronomy Ear photometry in maize testcrosses heat-tolerant maize Maize
Maize 282 Kernel Ion and Isotope BLUPs
10.4231/R7TT4P5D
05/31/2018
The 282 member maize association panel was grown under irrigated and non-irrigated conditions and kernels were phenotyped for ionome and isotope traits.
Data for Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
10.4231/R7NS0S57
Alison J Eagle , Ardell D. Halvorson , Bijesh Maharjan , Craig F. Drury , Douglas R. Smith , G. Philip Robertson , John P. Hoben , Rodney T. Venterea , Timothy B. Parkin
11/12/2018
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
4R Nutrient Management Agriculture Climate Change Corn Empirical Models Hierarchical Model IPNI Maize Meta-analysis Nitrate Leaching Nitrogen Nitrogen Fertilizer Nitrous Oxide North America Synthesis Water Quality
Multi-Year Study Maize Agrivoltaics Soil Moisture and Maize Information
10.4231/0JKD-A159
Elizabeth K. Grubbs
,
Geoffrey Alistair Sanchez
,
Margaret W Gitau
,
Mitchell R Tuinstra
,
Peter Bermel
,
Rakesh Agrawal
,
Shelby Gruss
,
Val Schull
11/18/2024
Volumetric water content (m^3/m^3) data, maize yield, silking/anthesis, height data for agrivoltaic experimental setup. Here will also be the data which was inputed based off a k-fold Bayesian Regularization Neural Network.
agrivoltaics Bayesian Regularization Neural Network Crop yield Maize Soil Moisture
Display #
Results 1 - 10 of 16