Datasets

subject: Agronomy date: 2020

Total is 18 Results
2017 West Lafayette Simulation of 18 Sorghum Hybrids

10.4231/6NW4-TB31

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.

2017 Sorghum simulation Agronomy APSIM Crop Model Remote Sensing

Texas Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

10.4231/PRS2-AC22

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

In the Texas scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in Bushland, TX using multi-year historical weather data.

Agronomy APSIM Forage sorghum crop models Texas Scenario Simulation

West Lafayette Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

10.4231/63GJ-CJ23

Kai-Wei Yang , Mitchell Tuinstra ORCID logo , Scott Chapman

12/15/2020

In the West Lafayette scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in West Lafayette using multi-year historical weather data.

Agronomy APSIM Forage sorghum modelling West Lafayette Scenario Simulation

Alfalfa Variety Trial Database, 1986-1999

10.4231/PHKH-4334

Daniel Wiersma , Jeffrey Volenec , Stanislav Pejša ORCID logo , Sylvie Brouder , Wayne G. Hartman

07/08/2020

An archived copy of the Alfalfa Variety Performance Database originally compiled in 2000 by Daniel W. Wiersma and Wayne G. Hartman. It contains data on yield, quality, and plant stand for over 2900 varieties from 700+ experiments conducted from...

Agriculture Agronomy Alfalfa alfalfa_db Biotic stress Crop yield Forage quality Genotype x environment insect resistance Lucerne Medicago Pathogen resistance performance persistence Winter hardiness yield improvement

Uniform Soybean Tests Northern Region 2019

10.4231/ASQG-CG68

Gary Nowling , Guohong Cai

04/30/2020

This dataset contains tables prepared for the 2019 Uniform Soybean Tests Northern Region Report.

Agriculture Agronomy Botany Crop Science Plant Pathology Soybeans USDA-ARS

Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model

10.4231/JE4B-8J88

Cheng-Hsien Lin ORCID logo , Cliff Johnston , Richard H Grant ORCID logo

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 ORCID logo , Seth A Tolley ORCID logo

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

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