Subject
- Agriculture 3
- Agronomy 3
Creator
- Craig F. Drury 2
- Douglas R. Smith 2
- G. Philip Robertson 2
- Rodney T. Venterea 2
- Timothy B. Parkin 2
- Akane O. Abbasi, 0000-0003-1111-8752 1
- Alejandro Salazar 1
- Alicia West 1
- Alison J Eagle 1
- Alison J. Eagle 1
Type
- Dataset 7
Date
subject: Nitrogen type: dataset
Total is 7 Results
Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
10.4231/DFB0-F030
Alison J. Eagle
,
Cameron M. Pittelkow
,
Claudia Wagner-Riddle
,
Craig F. Drury
,
David E. Pelster
,
Douglas R. Smith
,
G. Philip Robertson
,
Gustavo Cambareri
,
Martin H. Chantigny
,
Rex A. Omonode
,
Rodney T. Venterea
,
Sylvie M. Brouder
,
Timothy B. Parkin
,
Tony J. Vyn
09/14/2020
Dataset for meta-analysis establishing generalized relationship between N2O emissions and field-crop partial N balance. Quantifying on-farm N2O emissions for food-supply chains.
Agriculture Agronomy Greenhouse Gas Emissions Net Nitrogen Balance Nitrogen Nitrous Oxide row crops Surplus Nitrogen
Data for Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
10.4231/R7NS0S57
Alison J Eagle , Ardell D. Halvorson , Bijesh Maharjan , Craig F. Drury , Douglas R. Smith , G. Philip Robertson , John P. Hoben , Rodney T. Venterea , Timothy B. Parkin
11/12/2018
Data used in Eagle et al. 2017 (Soil Sci. Soc. Am. J. 81:1191–1202; doi:10.2136/sssaj2016.09.0281). Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
4R Nutrient Management Agriculture Climate Change Corn Empirical Models Hierarchical Model IPNI Maize Meta-analysis Nitrate Leaching Nitrogen Nitrogen Fertilizer Nitrous Oxide North America Synthesis Water Quality
Soil responses to manipulated precipitation changes: A synthesis of meta-analyses
10.4231/16NT-CW47
Akane O. Abbasi
,
Alejandro Salazar
,
Irfan Rashid
,
Jeffrey S. Dukes
,
Jianghanyang Li
,
Maria del Rosario Uribe
,
Sabine Reinsch
,
Youmi Oh
02/10/2020
We collected 16 meta-analyses published prior to April 2019 that examined soil responses to manipulated precipitation changes. This is the data of these meta-analyses, including effect sizes, confidence intervals, and sample sizes of 42 soil...
Carbon Cycle Climate Change Forestry and Natural Resources Meta-analysis Nitrogen Phosphorus Cycle Precipitation Change Soil Ecology Soil Emissions
A global dataset of agricultural experiments quantifying organic amendment impact on soil carbon
10.4231/ABA8-6762
Courtland Kelly
,
Erika J. Foster
,
Timothy Filley
06/08/2020
This database represents 62 field experiments that assess the impact of organic amendments on soil carbon fractions. The data include a set of moderators, such as climate, edaphic factors, and farm mangement details, and the soil C response...
Agriculture Carbon Conventional Farming Crop yield EAPS Nitrogen Organic Farming soil Soil Texture
PRICLE seedling size and resource availability data 2014
10.4231/R7N29TZ4
Jeffrey S Dukes
,
Michael Schuster
03/23/2017
These data on seedling size, soil nutrient and water availability, and leaf area index are analyzed by Schuster and Dukes in "Rainfall variability counteracts N addition by promoting invasive Lonicera maackii and extending phenology in...
Amur honeysuckle Climate Change Forestry and Natural Resources grassland growth Nitrogen phenology Pin oak Precipitation
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
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
Quantifying physiological trait variation with automated hyperspectral imaging in rice
10.4231/SY0A-W347
Augusto Souza
,
Carmela R. Guadagno
,
Chris Hoagland
,
Diane Ran Wang
,
Rachel Katrina Imel
,
To-Chia Ting
,
Yang Yang
12/08/2022
To predict rice physiological traits from automated hyperspectral data, 14 physiological traits were collected when the rice plants were six to 13 weeks old. Concurrently, side-view hyperspectral imaging events took place two to three times per week.
Agronomy Genetic Diversity growth traits Hyperspectral imaging Nitrogen Oryza sativa
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