Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule

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• 作者：G. Angella ; M. García Vila ; J. M. López ; G. Barraza ; R. Salgado…
• 刊名：Irrigation Science
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：34
• 期：1
• 页码：71-83
• 全文大小：2,495 KB
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• 作者单位：G. Angella (1) (2)
  M. García Vila (3)
  J. M. López (1)
  G. Barraza (1)
  R. Salgado (1)
  S. Prieto Angueira (1) (2)
  P. Tomsic (1)
  E. Fereres (3) (4)
  
  1. Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria Santiago del Estero, Jujuy 850, 4200, Santiago del Estero, Argentina
  2. Facultad de Agronomía y Agroindustrias, Universidad Nacional de Santiago del Estero, Av. Belgrano (S) 1912, 4200, Santiago del Estero, Argentina
  3. Departamento de Agronomía, Universidad de Córdoba, Campus Universitario de Rabanales, 14014, Córdoba, Spain
  4. Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Alameda del Obispo s/n, 14004, Córdoba, Spain
  
• 刊物主题：Agriculture; Water Industry/Water Technologies; Environment, general; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution; Sustainable Development; Climate Change;
• 出版者：Springer Berlin Heidelberg
• ISSN：1432-1319

文摘

Removal of irrigation network limitations under a rotational delivery schedule has been focused on improving infrastructures without paying sufficient attention to improving management. We developed a methodology to assess the yield and water productivity gaps in the Río Dulce irrigation system, Santiago del Estero, Argentina. The AquaCrop model was used to determine the potential and attainable yields of maize and cotton under different water management scenarios. Actual yields and irrigation practices were determined by field surveys and farmers interviews. The AquaGIS tool facilitated the assessment of the spatial and temporal variations in yield using a daily climatic database of 26 years. The average yield gap (potential minus actual) amounted to 6 t ha−1 in maize and 2 t ha−1 in cotton. The average water productivity gap was 7 kg ha−1 mm−1 in maize and 2 kg ha−1 mm−1 in cotton. By a more effective use of the rotational delivery schedule, the yield gap could be partially closed, in particular if associated with other agronomic practices, namely nitrogen fertilization. The approach demonstrated the potential of combining field data collection with the use of AquaCrop to quantify the yield and WP gaps, and to propose management recommendations for closing the gaps.