Computation of evapotranspiration using crop simulation models and comparison with leaf area index from multiple sources
DOI:
https://doi.org/10.14719/pst.4444Keywords:
Evapotranspiration, Leaf Area Index, Plant Canopy Analyser, Crop coefficient (Kc) valuesAbstract
The study demonstrated the computation of evapotranspiration (ET) in cultivation of groundnut (Arachis hypogaea) through the application of crop simulation models, alongside a comparative analysis with leaf area index (LAI) from various sources. The cultivation period for groundnut was conducted during the calendar year 2023, during which 2 distinct growth patterns were noted, attributed to variations in environmental conditions. The study analyses the estimated evapotranspiration from AquaCrop model, utilizing crop coefficient (Kc) values in comparison with evapotranspiration data derived from satellite observations provided by the MOD16A2v061 product. Furthermore, LAI was measured through 3 methodologies: an empirical equation based on field data, the Li-Cor 2200 plant canopy analyzer and LAI calculations derived from cloud-free normalized difference vegetation index (NDVI). LAI obtained from Li-Cor 2200 instrument exhibited a higher degree of consistency in correlation with empirical LAI derived from ground observations. Conversely, LAI values calculated using the normalized difference vegetation index (NDVI) demonstrated a greater degree of variability, especially during times of cloud cover. The study emphasizes the relationship between LAI and ET and magnitude of LAI in amount of total evapotranspiration.
Downloads
References
Kamasani CR, Jyothy S, Mallikarjuna P. Evaluation of evapotranspiration estimation methods and development of crop coefficients for groundnut crop. IOSR Journal of Engineering. 2012;2:35-42. https://doi.org/10.9790/3021-02633542
Volk JM, Huntington JL, Melton FS, Allen R, Anderson M, Fisher JB, et al. Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications. Nature Water. 2024;2(2):193-205. https://doi.org/10.1038/s44221-023-00181-7
Aswini G, Arulbalachandran D, Latha S. Effect of gamma irradiation on quantitative traits and post harvesting analysis of groundnut (Arachis hypogaea L.) seed in M1 generation. Plant Science Today. 2022;9(4):1074-84. https://doi.org/10.14719/pst.1785
Lissy Vargheese R, Saravanan S, Hepziba SJ, Prem Kumari SM, et al. Genetic variability, correlation and path analysis in the BC2F2 population of groundnut. Plant Science Today. 2024;11(2). https://doi.org/10.14719/pst.3282
Lima GC, Martins MQ, Coelho RI. Response of oranje Natal Folha Murcha (Citrus sinensis (L.) Osbeck) at different levels of irrigation. Plant Science Today. 2015;2(2):74-76. https://doi.org/10.14719/pst.2015.2.2.111
Parmar HV, Gontia NK. Estimation of crop coefficients by remote sensing based vegetation index. Journal of Agricultural Engineering (India). 2024;53:28-33. https://doi.org/10.52151/jae2016533.1608
Jia Q, Wang Y-P. Relationships between leaf area index and evapotranspiration and crop coefficient of hilly apple orchard in the loess plateau. Water. 2021;13(14):1957. https://doi.org/10.3390/w13141957
Faisol A, Novita E, editors. An evaluation of MODIS global evapotranspiration product (MOD16A2) as terrestrial evapotranspiration in East Java-Indonesia. IOP Conference Series: Earth and Environmental Science; 2020: IOP Publishing. https://doi.org/10.1088/1755-1315/485/1/012002
Shekar NS, Hemalatha H. Performance comparison of Penman-Monteith and Priestley-Taylor models using MOD16A2 remote sensing product. Pure and Applied Geophysics. 2021;178(8):3153-67. https://doi.org/10.1007/s00024-021-02780-5
Kommagoni R, Devi KB, Vani K, Sailaja V. Evapotranspiration, yield attributes and growth parameters influenced by organic nutrient management of groundnut. 2018;7.
Ibrahim II, Umar U, Abubakar A. Growth and yield attributes of groundnut (Arachis hypogea) as influenced by population density and phosphorous fertilizer rates on the Jos Plateau. Journal of Environmental Bioremediation and Toxicology. 2021;4(1):19-23. https://doi.org/10.54987/jebat.v4i1.580
Farooq T, Yan W, Chen X, Shakoor A, Rashid M, Gilani M, et al. Dynamics of canopy development of Cunninghamia lanceolata mid-age plantation in relation to foliar nitrogen and soil quality influenced by stand density. Global Ecology and Conservation. 2020. https://doi.org/10.1016/j.gecco.2020.e01209
Geng J, Yuan G, Chen JM, Lyu C, Tu L, Fan W, et al. Error analysis of LAI measurements with LAI-2000 due to discrete view angular range angles for continuous canopies. Remote Sensing. 2021;13(7):1405. https://doi.org/10.3390/rs13071405
Andalibi L, Ghorbani A, Moameri M, Hazbavi Z, Nothdurft A, Jafari R, et al. Leaf area index variations in ecoregions of Ardabil province, Iran. Remote Sensing. 2021;13(15):2879. https://doi.org/10.3390/rs13152879
Wu H, Yue Q, Guo P, Xu X, Huang X. Improving the AquaCrop model to achieve direct simulation of evapotranspiration under nitrogen stress and joint simulation-optimization of irrigation and fertilizer schedules. Agricultural Water Management. 2022. https://doi.org/10.1016/j.agwat.2022.107599
Ramos TB, Darouich H, Pereira LS. Mulching effects on soil evaporation, crop evapotranspiration and crop coefficients: a review aimed at improved irrigation management. Irrigation Science. 2024;42(3):525-39. https://doi.org/10.1007/s00271-024-00924-8
Xiang K, Li Y, Horton R, Feng H. Similarity and difference of potential evapotranspiration and reference crop evapotranspiration - a review. Agricultural Water Management. 2020. https://doi.org/10.1016/j.agwat.2020.106043
Sood V, Patil D. Development of improved crop coefficients for precise estimates of groundnut evapotranspiration. 2015;8:6084-87.
Pereira LS, Allen RG, Smith M, Raes D. Crop evapotranspiration estimation with FAO56: Past and future. Agricultural Water Management. 2015;147:4-20. https://doi.org/10.1016/j.agwat.2014.07.031
Chen H, Zhu G, Zhang K, Bi J, Jia X, Ding B, et al. Evaluation of evapotranspiration models using different LAI and meteorological forcing data from 1982 to 2017. Remote Sensing. 2020;12(15):2473. https://doi.org/10.3390/rs12152473
Yu Z, Chen J, Chen J, Zhan W, Wang C, Ma W, et al. Enhanced observations from an optimized soil-canopy-photosynthesis and energy flux model revealed evapotranspiration-shading cooling dynamics of urban vegetation during extreme heat. Remote Sensing of Environment. 2024;305:114098. https://doi.org/10.1016/j.rse.2024.114098
Kala J, Decker M, Exbrayat J-F, Pitman AJ, Carouge C, Evans JP, et al. Influence of leaf area index prescriptions on simulations of heat, moisture and carbon fluxes. Journal of Hydrometeorology. 2014;15(1):489-503. https://doi.org/10.1175/JHM-D-13-063.1
Hemalatha S, Velchala P, Reddy BN. Groundnut, Arachis hypogaea growth and yield as influenced by evapotranspiration deficits. 2021.
Arulkar KP, Deogirikar AA, Kondey NM, Joshi PS. Estimation of crop evapotranspiration for groundnut (Kharif) in Chandrapur district. Agricultural Science Digest. 2008;28(1):67-68.
Downloads
Published
Versions
- 12-10-2024 (2)
- 09-10-2024 (1)
How to Cite
Issue
Section
License
Copyright (c) 2024 Sabthapathy M, Ragunath KP, Pazhanivelan S, Selvakumar S, Sivamurugan AP, Kumaraperumal R, Mohammed Ahamed J, Chandrasekar K, Thiruvarassan S
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licence details of published articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Open Access Policy
Plant Science Today is an open access journal. There is no registration required to read any article. All published articles are distributed under the terms of the Creative Commons Attribution License (CC Attribution 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
