Journal article Open Access

Test of the Biological Module of CERES-Maize Model in Lysimeters on Chromic Luvisols

Popova, Zornitsa; Gabrielle, Benoit; Leviel, Bruno; Kercheva, Milena


JSON-LD (schema.org) Export

{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>This paper reports on CERES-maize model stepwise calibration, modification and validation using independent data from specific experiments carried out in a chromic luvisol (Chelopechene), Sofia field,1997-1999. Laboratory based water conductivity curve WCC (eq.1) and water retention curve WRC (eq.2) are calibrated (step i) and adjusted to data measured in field (step ii) (Fig.1; Table 3). Field observations of water dynamics under maize hybrid Kn 509 relative to optimal nitrogen supply N200 (kg ha-1 ) and variable water stress (irrigated A1 plots/lysimeters \u21161 and \u21162) are used to modify the function of Root Water Absorption (eq.3) (step iii). The ability of calibrated biological module of CERES-NC-Maize model to make predictions without any further adjustments of parameters is tested against independent three-year dataset (1997-1999) collected in the same field (Chelopechene) but in lysimeter \u21161 (step iv). Observed water contents in the 1.30 m root zone PESW and soil layers SW (Figs.3a, 3b, 3c, 3d), actual crop water uptake (evapotranspiration ET) (Figs. 4 and 5) and water fluxes prove acceptable agreement with validated model outputs. Model predictions of crop growth and dry weights of maize are acceptably precise in most of the tested situations (Fig.6). The results support the use of tested CERES-NC model in prediction of aboveground dry matter, water balance and storage under maize on Chromic Luvisols in Sofia field.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "\"N. Poushkarov\" Institute of Soil Science, Agrotechnologies and Plant Protection", 
      "@type": "Person", 
      "name": "Popova, Zornitsa"
    }, 
    {
      "affiliation": "EcoSys Joint Research Unit,AgroParisTech/INRA/ParisSaclay University, Thiverval-Grignon, France", 
      "@type": "Person", 
      "name": "Gabrielle, Benoit"
    }, 
    {
      "@type": "Person", 
      "name": "Leviel, Bruno"
    }, 
    {
      "affiliation": "\"N. Poushkarov\" Institute of Soil Science, Agrotechnologies and Plant Protection", 
      "@type": "Person", 
      "name": "Kercheva, Milena"
    }
  ], 
  "sameAs": [
    "http://www.bsss.bg/issues/Issue1_2020/BJSS_2020_1_3.pdf"
  ], 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-05-29", 
  "headline": "Test of the Biological Module of CERES-Maize Model in Lysimeters on Chromic Luvisols", 
  "url": "https://zenodo.org/record/3865420", 
  "keywords": [
    "\"crop-soil-atmosphere\" system, transport of water, lysimeters' experiments; CERES-NC-maize model parameterisation, model predictive capacity"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3865420", 
  "@id": "https://doi.org/10.5281/zenodo.3865420", 
  "@type": "ScholarlyArticle", 
  "name": "Test of the Biological Module of CERES-Maize Model in Lysimeters on Chromic Luvisols"
}
58
37
views
downloads
All versions This version
Views 5858
Downloads 3737
Data volume 24.5 MB24.5 MB
Unique views 5454
Unique downloads 3636

Share

Cite as