Datasets

subject: Agronomy type: dataset date: 2020

Total is 17 Results
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

Phosphorus and Potassium Influence on Alfalfa Nutrition

10.4231/PPKB-VK18

B. C. Joern , Jeffrey J. Volenec ORCID logo , K. D. Johnson , S. Lissbrant , Suzanne M Cunningham , Sylvie M. Brouder ORCID logo , W. K. Berg

05/27/2020

Data from several studies on the influence of phosphorus and potassium nutrition on alfalfa. It includes numeric data such as yield, plant mass, plant counts, and tissue concentration of various nutrients

Agronomy Crop Science Forage legumes Nutritive value Soil Fertility Soil Science Winter hardiness Yield components

Genetic and environmental variation in alfalfa forage quality from variety testing experiments conducted in North America between 1986 and 1999

10.4231/02PR-9H36

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

06/15/2020

The dataset contains data used to analyze genetic and environmental effects on alfalfa forage quality and corresponding forage yield. Data were compiled from variety tests conducted by University researchers in the US and Canada from 1986 through...

acid detergent fiber ADF Agronomy Alfalfa alfalfa_db crude protein digestibility Forage quality genetic variation Lucerne Medicago NDF neutral detergent fiber Nutritive value variety Yield components

Genetic and environmental variation in alfalfa forage yield from variety testing experiments conducted in North America between 1986 to 1999

10.4231/Y31N-5R10

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

06/15/2020

The dataset contains data used to analyze genetic and environmental effects on alfalfa yield and agronomic performance. Data were compiled from alfalfa variety tests conducted by University researchers in the US and Canada from 1986 through 1999.

Agriculture Agronomy Alfalfa alfalfa_db Forage yield Genetic improvement Genotype x environment Germplasm Lucerne Medicago variety Variety testing yield improvement

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

Tile discharge, dissolved reactive phosphorus concentrations and loads for the WQFS (Water year 2011 – 2013).

10.4231/BJHE-3239

Jeffrey J. Volenec ORCID logo , Margaret Gitau ORCID logo , Nicole S. De Armond , Pauline Welikhe , Ronald F. Turco ORCID logo , Sylvie M. Brouder ORCID logo

11/24/2020

The data included here are for the WQFS tile discharge, DRP concentrations and loads for the Miscanthus x giganteus, continuous maize with residue removal, and switchgrass variety Shawnee treatments only.

Agronomy Dissolved reactive phosphorus P sink soils P source soils Phosphorus loss Tile discharge Water Quality water quality data Water Quality Field Station

R Pipeline for Calculation of APSIM Parameters and Generating the XML File

10.4231/69H7-CV75

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

12/15/2020

A pipeline to generate the XML parameter file for APSIM was developed in R. The files and R codes are reported in "R Pipeline for Calculation of APSIM Parameters and Generating the XML File".

Agronomy APSIM Crop Growth Models APSIM Pipeline Remote Sensing

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