Creator
- Cheng-Hsien Lin, 0000-0001-6580-5457 1
- Cliff Johnston 1
- Mitchell R Tuinstra, 0000-0002-5322-6519 1
- Richard H Grant, 0000-0001-9464-6942 1
- Seth A Tolley, 0000-0001-9664-3534 1
Type
- Dataset 2
Date
- 2020 2
subject: Agronomy subject: Maize type: dataset date: 2020
Total is 2 Results
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model
10.4231/JE4B-8J88
Cheng-Hsien Lin, 0000-0001-6580-5457, Cliff Johnston, Richard H Grant, 0000-0001-9464-6942
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, 0000-0002-5322-6519, Seth A Tolley, 0000-0001-9664-3534
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
Display #
Results 1 - 2 of 2