Literature DB >> 18304805

Evaluating energy efficiency of site-specific tillage in maize in NE Italy.

M Bertocco1, B Basso, L Sartori, E C Martin.   

Abstract

This paper examine the efficiency of energy use of three conservation tillage practices (SST - sub-soil tillage; MT - minimum tillage; and NT - no tillage) performed within two management zones, previously identified in a field according to the stability of yield variability. Experiments were carried out in 2003 in NE Italy, on a farm near Rovigo, on a 8-ha field with clay soil, in maize (Zea mays, L.). The purpose of the paper is (i) to investigate the energy variability due to these tillage practices performed spatially within two management zones and (ii) to analyze the long-term energetic efficiency for each tillage practice. The energy balance was highest for SST with respect to MT and NT, due to labor and fuel consumption rates. The energy balance was influenced by the spatial pattern of yield, with appreciable differences between practices in terms of both the conversion index of energy for tillage (9.0, 12.6 and 22.8GJha(-1) for SST, MT and NT, respectively) and the energy use efficiency for tillage (8.0, 11.6, 21.8GJha(-1) for SST, MT and NT, respectively). Based on the simulated data and the calibration results, SALUS model proved to be a good tool for analyzing long-term effects of tillage practices on yield. The NT treatment showed the best efficiency over years, due to the low inputs in comparison with the output level.

Entities:  

Mesh:

Year:  2008        PMID: 18304805     DOI: 10.1016/j.biortech.2008.01.027

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  3 in total

1.  Can Impacts of Climate Change and Agricultural Adaptation Strategies Be Accurately Quantified if Crop Models Are Annually Re-Initialized?

Authors:  Bruno Basso; David W Hyndman; Anthony D Kendall; Peter R Grace; G Philip Robertson
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

2.  Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science.

Authors:  James W Jones; John M Antle; Bruno Basso; Kenneth J Boote; Richard T Conant; Ian Foster; H Charles J Godfray; Mario Herrero; Richard E Howitt; Sander Janssen; Brian A Keating; Rafael Munoz-Carpena; Cheryl H Porter; Cynthia Rosenzweig; Tim R Wheeler
Journal:  Agric Syst       Date:  2017-07       Impact factor: 5.370

3.  Energy budget and carbon footprint in a wheat and maize system under ridge furrow strategy in dry semi humid areas.

Authors:  Changjiang Li; Shuo Li
Journal:  Sci Rep       Date:  2021-04-30       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.