Tennessee Valley Study for Resilient Economic Agricultural Practices in Auburn, Alabama

Principal Investigator(s):  View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library

Version:  View help for Version V1

Name File Type Size Last Modified
ALAUTVS_csv_data.zip application/zip 26.7 KB 06/26/2026 11:47:AM
adc_metadata.json application/json 20.3 KB 06/26/2026 09:14:PM
catalog_detail.html text/html 8.8 KB 06/26/2026 11:47:AM

Project Citation: 

US Department of Agriculture, and National Agricultural Library. Tennessee Valley Study for Resilient Economic Agricultural Practices in Auburn, Alabama. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250377V1

Project Description

Project Title:  View help for Project Title Tennessee Valley Study for Resilient Economic Agricultural Practices in Auburn, Alabama
Summary:  View help for Summary Tennessee Valley Study for Resilient Economic Agricultural Practices in Auburn, Alabama Maize ( Zea mays L.) produced in narrow rows can increase yields and accelerate canopy closure. Costly equipment modifications make narrow rows impractical, but a twin-row configuration may boost pro­ duction with fewer equipment modifications. Four field experiments were conducted to measure weed biomass, leaf area index (LAI), and yield for a conventional (CN) and a glyphosate-resistant (GR) hybrid across three plant densities (low 4.0–4.4 plants m - 2 ; medium 5.9–6.4 plants m - 2 ; and high 7.9–8.4 plants m - 2 ) and two row configurations (single vs. twin) in a conservation tillage system during the 2005 grow­ ing season. The experimental design was a split–split plot with a RCB arrangement of whole plots where hybrids were assigned to main plots, row configurations to subplots, and plant density to sub-subplots with four replications. Row configuration had little effect on weed biomass compared to plant density and hybrid. Leaf area index increased with higher plant density at all locations. In general, LAI increased with the twin-row configuration, but LAI also varied with hybrid based on interactions between hybrid and plant density or row configuration. Row configuration had little impact on maize yields, while plant density had the most effect on yields. Plant density also interacted with hybrid or row configuration at multiple locations, although maize yields did not always increase with higher plant density. Conventional hybrids may also provide an alternative to GR hybrids, particularly at lower plant densities. Maize yield increases with twin rows were minimal and may not justify twin row conversion under dryland condi­ tions, but growers that already utilize twin-row equipment will not suffer yield decreases by planting twin rows.


Resources in this dataset:

Resource Title: Auburn, AL Tennessee Valley Study (ALAUTVS) CSV data. File Name: ALAUTVS_csv_data.zipResource Description: CSV format data on Experimental Units, Field Sites, Residue Management, Persons, Treatments, Weather Daily, Weather Station.

Resource Title: Auburn, AL Tennessee Valley Study (ALAUTVS) CSV data.

File Name: ALAUTVS_csv_data.zip

Resource Description: CSV format data on Experimental Units, Field Sites, Residue Management, Persons, Treatments, Weather Daily, Weather Station.
Original Distribution URL:  View help for Original Distribution URL https://agdatacommons.nal.usda.gov/articles/dataset/Tennessee_Valley_Study_for_Resilient_Economic_Agricultural_Practices_in_Auburn_Alabama/24665253

Scope of Project

Subject Terms:  View help for Subject Terms farming; Environment; iso metadata; NP211; NP212; data.gov; ARS
Geographic Coverage:  View help for Geographic Coverage Alabama
Time Period(s):  View help for Time Period(s) 10/1/2008 – 12/31/2013
Data Type(s):  View help for Data Type(s) observational data
Collection Notes:  View help for Collection Notes DOI: 10.15482/USDA.ADC/1503996 Citation: Balkcom, Kipling (2020). Tennessee Valley Study for Resilient Economic Agricultural Practices in Auburn, Alabama. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1503996 (Downloaded 2026-06-26)


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Published Versions

V1 [2026-06-27]

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