Subject
- Agriculture 6
- Plant Pathology 3
- Crop Science 2
- Botany 1
- Soil Science 1
Creator
- Kai-Wei Yang 6
- Mitchell Tuinstra, 0000-0002-5322-6519 6
- Scott Chapman 6
- Stanislav Pejša, 0000-0001-5057-262X 6
- Jeffrey Volenec, 0000-0002-5455-6157 5
- Wayne G. Hartman 5
- Daniel Wiersma 4
- Sylvie Brouder, 0000-0002-7785-5336 4
- Sylvie M. Brouder, 0000-0002-7785-5336 3
- Jeffrey J. Volenec, 0000-0002-5455-6157 2
Type
Date
- 2020 18
Total is 18 Results
Genetic and environmental variation in alfalfa stand persistence from variety testing experiments conducted in North America between 1986 and 1999
10.4231/KK4K-QD96
Daniel Wiersma
,
Jeffrey Volenec
,
Stanislav Pejša
,
Sylvie Brouder
,
Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa stand persistence. Data were compiled from alfalfa varieties tests conducted by University researchers in the US and Canada from 1986 through 1999.
Agronomy Alfalfa alfalfa_db Genetic improvement genetic variation Genotype x environment Lucerne Medicago Plant persistence Stand persistence Stress tolerance Variety testing Winter hardiness
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
,
Stanislav Pejša
,
Sylvie Brouder
,
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
Archived standard tests to characterize stress tolerance and agronomic performance of alfalfa cultivars
10.4231/N24B-MV16
North American Alfalfa Improvement Conference
,
Jeffrey Volenec
,
Stanislav Pejša
07/08/2020
The dataset contains standard test protocols used to characterize alfalfa cultivars compiled by the The North American Alfalfa Improvement Conference.
Abiotic stress Agriculture Agronomy Alfalfa Alfalfa breeding alfalfa_db Bacterial pathogen Biotic Resistance Biotic stress Forage quality Fungal pathogen Grazing tolerance Insect stress Lucerne Medicago Plant Breeding Plant Pathology Resistance score resistance tests Stress tolerance Winter hardiness
2018 West Lafayette Simulation of 18 Sorghum Hybrids
10.4231/KMK0-J993
Kai-Wei Yang
,
Mitchell Tuinstra
,
Scott Chapman
12/15/2020
The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.
2018 Sorghum Simulation Agronomy APSIM Crop Model Remote Sensing
2015 West Lafayette Simulation of 18 Sorghum Hybrids
10.4231/0NX5-RT34
Kai-Wei Yang
,
Mitchell Tuinstra
,
Scott Chapman
12/15/2020
The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.
2015 Sorghum Crop Simulation Agronomy Biophysical crop models Remote Sensing
2017 West Lafayette Simulation of 18 Sorghum Hybrids
10.4231/6NW4-TB31
Kai-Wei Yang
,
Mitchell Tuinstra
,
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
,
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
,
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
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