Estimating the parameters of a 3-D root distribution function from root observations with the trench profile method: case study with simulated and field-observed root data

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• 作者：Joachim Vansteenkiste (1) (5)
  Jelle Van Loon (2)
  Sarah Garré (3)
  Lo?c Pagès (4)
  Eddie Schrevens (2)
  Jan Diels (1)
  
• 关键词：Root modeling ; Spatial distribution ; Root intersections ; RootTyp ; Cauliflower ; Leek
• 刊名：Plant and Soil
• 出版年：2014
• 出版时间：February 2014
• 年：2014
• 卷：375
• 期：1-2
• 页码：75-88
• 全文大小：1,755 KB
• 作者单位：Joachim Vansteenkiste (1) (5)
  Jelle Van Loon (2)
  Sarah Garré (3)
  Lo?c Pagès (4)
  Eddie Schrevens (2)
  Jan Diels (1)
  
  1. Division of Soil and Water Management, KU Leuven, Celestijnenlaan 200 E, 3001, Leuven, Belgium
  5. Celestijnenlaan 200 E/b2411, 3001, Leuven, Belgium
  2. Divison of M3-BIORES, KU Leuven, Celestijnenlaan 200 E, 3001, Leuven, Belgium
  3. Université de Liège -Gembloux Agro-Bio Tech, Passage des Déportés 2, 5030, Gembloux, Belgium
  4. INRA, Centre d’Avignon, UR 1115 PSH, Site Agroparc, 84914, Avignon Cedex 9, France
  
• ISSN：1573-5036

文摘

Background and aims Root length density (RLD) is a parameter that is difficult to measure, but crucial to estimate water and nutrient uptake by plants. In this study a novel approach is presented to characterize the 3-D root length distribution by supplementing data of the 3-D distribution of root intersections with data of root length density from a limited number of soil cores. Methods The method was evaluated in a virtual experiment using the RootTyp model and a field experiment with cauliflower (Brassica oleracea L. botrytis) and leek (Allium porrum, L.). Results The virtual experiment shows that total root length and root length distribution can be accurately estimated using the novel approach. Implementation of the method in a field experiment was successful for characterizing the growth of the root distribution with time both for cauliflower and leek. In contrast with the virtual experiment, total root length could not be estimated based upon root intersection measurements in the field. Conclusions The novel method of combining root intersection data with root length density data from core samples is a powerful tool to supply root water uptake models with root system information.