Datasets

Creator
Type
Date

subject: Agronomy subject: Grain Yield date: 2023

Total is 6 Results
Agronomic responses of soybean to long-term implementation of tillage and crop rotation systems in Indiana from 1975 to 2022

10.4231/2KQ5-KR50

D R Griffith , Garrett S Verhagen , J V Mannering , Terry D West , Tony J Vyn ORCID logo

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

Agronomic responses of corn to long-term implementation of tillage and crop rotation systems in the US Corn Belt, from 1975 to 2022

10.4231/E031-BS21

D R Griffith , Garrett Verhagen , J V Mannering , Terry D West , Tony Vyn ORCID logo

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

Nutrient analysis of corn earleaf at R1 under tillage, crop rotation, nitrogen, and sulfur treatments within a long-term tillage study

10.4231/44K5-EJ32

Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn ORCID logo

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

Grain nutrient removal of corn influenced by the addition of nitrogen, sulfur fertilizers to a long-term tillage and crop rotation study conducted in the US Corn Belt

10.4231/9BA5-KK34

Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn ORCID logo

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

Grain and stover nutrient content in corn at maturity grown under multiple tillage, crop rotation, and nitrogen treatments

10.4231/GPZW-DR78

Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn ORCID logo

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

Investigating the Genomic Background and Predictive Ability of Genotype-by-environment Interactions in Maize Grain Yield Based on Reaction Norm Models

10.4231/0C1Q-2G44

Mitchell R Tuinstra ORCID logo , Seth A Tolley ORCID logo

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

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