subject: Agronomy type: dataset date: 2023
10.4231/2KQ5-KR50
D R Griffith , Garrett S Verhagen , J V Mannering , Terry D West , Tony J Vyn
02/02/2023
This dataset includes soybean population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.
Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture Grain Yield Maize moldboard-plow no-till plant height plant population planting date Purdue University ridge-till Soybean strip-till
10.4231/E031-BS21
D R Griffith , Garrett Verhagen , J V Mannering , Terry D West , Tony Vyn
02/02/2023
This dataset includes corn population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.
Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture Grain Yield Maize moldboard-plow no-till plant height plant population planting date Purdue University ridge-till Soybean strip-till
10.4231/44K5-EJ32
Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn
01/11/2023
Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn earleaf at R1 under tillage, crop rotation, nitrogen (2017, 2019), and sulfur treatments (2020, 2021). Part of the Long-Term Tillage study in West Lafayette, IN.
Agronomy chisel-plow conservation tillage Corn crop rotation earleaf grain moisture Grain Yield Maize moldboard-plow no-till nutrient data plant height plant population planting date Purdue University ridge-till Soybean SPAD Chlorophyll Meter strip-till
10.4231/9BA5-KK34
Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn
02/02/2023
Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain at R6 across seven site-years involving tillage, crop rotation, nitrogen (2015-19), and sulfur treatments (2020-21). Part of the Long-Term Tillage study in West Lafayette, IN.
4R Nutrient Management Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture grain nutrient Grain Yield kernel number kernel weight Maize moldboard-plow no-till nutrient removal plant height plant population planting date Purdue University Soybean strip-till
10.4231/GPZW-DR78
Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn
01/11/2023
Nutrient content (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain and shoot at maturity across five site-years (2015-2019) under tillage, crop rotation, and nitrogen treatments. Part of the Long-Term Tillage study in West Lafayette, IN.
Agronomy chisel-plow cob nutrient conservation tillage Corn crop rotation grain moisture grain nutrient Grain Yield Maize moldboard-plow Nitrogen no-till nutrient content nutrient removal nutrient uptake plant height plant population planting date Purdue University ridge-till Soybean stover nutrient strip-till
10.4231/ZBHC-3K73
Darrell G Schulze , Shams Rahman R Rahmani
01/26/2023
Aerial imagery from 1963 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN, USA.
10.4231/V168-XW88
Darrell G Schulze , Shams Rahman R Rahmani
01/26/2023
Aerial imagery from 1976 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN.
10.4231/74KH-8X07
Darrell G Schulze , Shams Rahman R Rahmani
01/27/2023
Aerial imagery from 2013 of the Purdue Agronomy Center for Research and Education (ACRE), West Lafayette, IN.
10.4231/QS1J-6J77
Daniel Wiersma , Jeffrey Volenec , Stanislav Pejša , Sylvie Brouder , Wayne G. Hartman
05/25/2023
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 testing
10.4231/0C1Q-2G44
Mitchell R Tuinstra , Seth A Tolley
05/12/2023
Genotype-by-environment interaction (GEI) is among the greatest challenges for maize breeding programs. The main objectives of this study were to evaluate genetic parameters and perform genomic prediction using a reaction norm model.
Agronomy G2F Genome-Wide Association Study Genomes 2 Fields Genomic Prediction Genotype-by-environment Interaction Grain Yield GxE Maize Multi-environment Trial Reaction Norm Model
Display #
Results 1 - 10 of 10