Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns

I.D. Tsakmakis, N.P. Kokkos, G.D. Gikas, V. Pisinaras, E. Hatzigiannakis, G. Arampatzis and G.K. Sylaios

Agricultural Water Management, 2019, vol. 213, issue C, 419-432

Abstract: One of the most vital parameters for the robust crop growth models’ performance is the crops’ root growth pattern. However, its reference measurement methods are laborious, destructive and costly. In this paper we determined the root growth pattern of cotton (Gossypium hirsutum) in the 50 to 100 cm top-soil layer using soil water content measurements from the cotton cultivating seasons of 2015 and 2016 in Northern Greece. The estimated root growth pattern along with canopy cover, biomass, soil water content and final seed cotton yield measurements were then used to evaluate the capability of the FAO AquaCrop model to simulate a deficit irrigated cotton, cultivated under real farming conditions. To do so, a number of existing cotton crop files from the literature were tested. The results showed that the estimated root growth patterns were almost the same in 2015 and 2016 exhibiting root growing rates equal to 1.7 and 2 cm/d, respectively. When the model was run in growing degree days mode, it simulated root growth pattern, canopy cover, biomass and soil water content with fair accuracy for all the proposed crop files (R2 ≥ 0.93, modeling efficiency ≥ 0.91), but the seed cotton yield was simulated adequately only when the AquaCrop’s library file was used. In calendar days mode the model failed to simulate root growth pattern satisfactorily, but the simulation of canopy cover, biomass and soil water content was fair (R2 ≥ 0.75, model efficiency ≥ 0.72). Lastly, the seed cotton yield in the calendar days mode was once again simulated accurately only when the model’s default crop file was used.

Keywords: Crop growth model; Canopy cover; Growing degree days; Dry biomass; Seed cotton yield (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037837741830547X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:213:y:2019:i:c:p:419-432

DOI: 10.1016/j.agwat.2018.10.029

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().