Long-term Tillage Experiment
This experiment has been added by the GLTEN Curators using existing published sources.
- Local identifier
- FE2
- Years operational
- 2002—
- Objective
- To evaluate the effects of minimum tillage and sod-seeding (NT) on durum wheat yields
- Data Access Statement
- Don't know
- Data license
- Don't know
- Data policy
- Don't know
- Organization
- Council for Agricultural Research and Economicsexperimental research station
- People
Site: FE2
- Type
- research station field
- Location
- FoggiaItaly
- Geographic location
- 41.451754, 15.501015
- Visits permitted?
- No
- Soil type
- vertisol
- Soil properties
Variable Depth Value (range) Units Ref year Estimated? Baseline? clay content 42.7 percent silt content 27.7 percent - Climatic type
- humid subtropical climate
- Climate properties
Variable Time period Value (range) Units precipitation 550 millimeter
Design period: (2002—)
- Design Type
- Randomized complete block design
- Design description
- Plots measure 500 m2
- Number of replicates
- 3
- Crop
Crop Years grown durum wheat - Factor
- Factor name
- Factor levels
- tillage process
no-till (0 cm depth)
Weed control with glyphosate in Novemberminimum tillage (40 cm depth)
Application frequency: annualApplication method: chisel ploughMinimum tillage consists of a two-layer soil tillage at 40 cm depth (i.e., a chisel and rotary tiller combination) performed in the first week of November.
- Measurements
Variable Material Units Frequency Scale Comment yield trait durum wheat soil properties Soil
Related publications
- Castellini, M., Stellacci, A.M., Barca, E. and Iovino, M. (2019), Application of Multivariate Analysis Techniques for Selecting Soil Physical Quality Indicators: A Case Study in Long-Term Field Experiments in Apulia (Southern Italy). Soil Sci. Soc. Am. J., 83: 707-720. https://doi.org/10.2136/sssaj2018.06.0223 [In English]
- Stellacci, A.M.; Castellini, M.; Diacono, M.; Rossi, R.; Gattullo, C.E. Assessment of Soil Quality under Different Soil Management Strategies: Combined Use of Statistical Approaches to Select the Most Informative Soil Physico-Chemical Indicators. Appl. Sci. 2021, 11, 5099. https://doi.org/10.3390/app11115099 [In English]