Calibration and validation of AquaCrop for pearl millet (Pennisetum glaucum)
Z. A. Bello A C and S. Walker A B
+ Author Affiliations
- Author Affiliations
A Department of Soil, Crop and Climate Sciences, University of the Free State, Bloemfontein, 9300 South Africa.
B Crops for the Future Research Centre, Jalan Broga, Semenyih, 43500 Malaysia.
C Corresponding author. Email: belloz@ufs.ac.za
Crop and Pasture Science 67(9) 948-960 https://doi.org/10.1071/CP15226
Submitted: 8 July 2015 Accepted: 4 April 2016 Published: 9 September 2016
Abstract
Pearl millet (Pennisetum glaucum (L.) R.Br.) is widely grown in some of the driest regions of the world, mainly drier tropics. Although it is easy to cultivate under semi-arid and arid regions, it still responds very favourably to slight improvements in growing conditions such as supplementary irrigation. Because this crop is mostly cultivated under water-limited conditions, there is a need to develop strategies to promote efficient water use, and this can be achieved through field experiments and or crop modelling. The AquaCrop model requires a minimum number of crop parameters, with the aim of balancing simplicity, accuracy, robustness and user-friendliness. In this study, we calibrate and validate the AquaCrop model for an underutilised crop, pearl millet under irrigation and rainfed conditions. Experiments were carried out in lysimeters with two varieties of pearl millet (GCI 17, improved variety; Monyaloti, local variety) during the 2010–11 season. Field trials were conducted during the 2008–09 and 2009–10 seasons. The field plot was under a line-source sprinkler with four replications. Lysimeter datasets and field data (2008–09) were used for parameterisation and calibration of the model, and validation was done with the 2009–10 dataset. The model was able to simulate canopy cover, biomass production, cumulative evapotranspiration and grain yield, but not soil-water content, for the two varieties of pearl millet under irrigation and rainfed conditions. The performance of the model in simulating soil-water content is moderate for this crop and needs to be improved.
Additional keywords: cereal crop, crop files, extinction coefficient, index of agreement, phenological developments, root-mean-square error.
References
Abrha B, Delbecque N, Raes D, Tsegay A, Todorovic M, Heng L, Vanutrecht E, Geerts S, Garcia-Vila M, Deckrs S (2012) Sowing strategies for barley (Hordeum vulgare L.) based on modelled yield response to water with AquaCrop. Experimental Agriculture 48, 252–271.| Sowing strategies for barley (Hordeum vulgare L.) based on modelled yield response to water with AquaCrop.Crossref | GoogleScholarGoogle Scholar |
Araya A, Habtu S, Hadgu KM, Kebede A, Dejene T (2010) Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management 97, 1838–1846.
| Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare).Crossref | GoogleScholarGoogle Scholar |
Azam-Ali SN, Squire GR (2002) ‘Principles of tropical agronomy.’ (CABI: Wallingford, UK)
Bello ZA (2013) Characterization and modelling of water relations by amaranthus and pearl millet. PhD Thesis, University of the Free State, Bloemfontein, South Africa.
Bichard A (2002) Sorghum and millet consumption patterns in the Limpopo Province of South Africa: Qualitative survey in urban area (Polokwane). Report of CIRAD-AMIS, Programme Agro-Alimentaire Equipe Socio-Economie Alimentaire. University of Pretoria, Center for Nutrition, Pretoria, South Africa.
Bidinger FR, Hash CT (2004) Pearl millet. In ‘Physiology and biotechnology integration for plant breeding’. (Eds HT Nguyem, A Blum) pp. 225–270. (Marcel Dekker: New York)
Botha JJ, van Rensburg LD, Anderson JJ, Hensley M, Macheli MS, van Staden PP, Kundhlande G, Groenewald DG, Baiphethi MN (2003) Water conservation techniques on small plots in semi-arid areas to enhance rainfall use efficiency, food security, and sustainable crop production. Report No. 1176/1/03, Water Research Commission (WRC), Pretoria, South Africa.
Chimungu JG (2009) Comparison of field and laboratory measured hydraulic properties of selected diagnostic soil horizons. MSc Thesis, University of the Free State, Bloemfontein, South Africa.
De Rouw A (2004) Improving yields and reducing risks in pearl millet farming in the African Sahel. Agricultural Systems 81, 73–93.
| Improving yields and reducing risks in pearl millet farming in the African Sahel.Crossref | GoogleScholarGoogle Scholar |
De Rouw A, Winkel T (1998) Drought avoidance by asynchronous flowering in pearl millet stands cultivated on-farm and on-station in Niger. Experimental Agriculture 34, 19–39.
| Drought avoidance by asynchronous flowering in pearl millet stands cultivated on-farm and on-station in Niger.Crossref | GoogleScholarGoogle Scholar |
DWAF (2004) National Water Resource Strategy, Pretoria. Department of Water Affairs and Forestry, South Africa. www.dwaf.gov.za/Documents/Policies/NWRS/Default.htm (accessed 20 February 2010)
Ehlers L, Bennie ATP, du Preez CC (2003) The contribution of root accessible water tables towards the irrigation requirements of crops. Report No. 1089/1/03, Water Research Commission (WRC), Pretoria, South Africa.
Eiasu BK (2009) Influence of soil water management on plant growth, essential oil yield and oil composition of rose-scented geranium (Pelargonium spp.). PhD Thesis, University of Pretoria, Pretoria, South Africa.
Farahani HJ, Izzi G, Oweis TY (2009) Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agronomy Journal 101, 469–476.
| Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton.Crossref | GoogleScholarGoogle Scholar |
Ferres E, Connor D (2004) Sustainable water management in agriculture. In ‘Challenges of the new water policies for the XXI century’. (Eds E Cabrera, R Cobacho) pp. 157–170. (Swets & Zeitlinger: Lisse, The Netherlands)
García-Vila M, Ferres E, Matoes L, Orgaz F, Steduto P (2009) Deficit irrigation optimization of cotton with AquaCrop. Agronomy Journal 101, 477–487.
| Deficit irrigation optimization of cotton with AquaCrop.Crossref | GoogleScholarGoogle Scholar |
Gollan T, Passioura JB, Munns R (1986) Soil water status affects the stomatal conductance of fully turgid wheat and sunflower leaves. Australian Journal of Plant Physiology 13, 459–464.
| Soil water status affects the stomatal conductance of fully turgid wheat and sunflower leaves.Crossref | GoogleScholarGoogle Scholar |
Haka IBU (2010) Quantifying evaporation and transpiration in field lysimeters using the soil water balance. PhD Thesis, University of the Free State, Bloemfontein, South Africa.
Hanks RJ, Sisson DV, Hurst RL, Hubbard KG (1980) Statistical analysis of results from irrigation experiments using the line source sprinkler system. Soil Science Society of America Journal 44, 886–888.
| Statistical analysis of results from irrigation experiments using the line source sprinkler system.Crossref | GoogleScholarGoogle Scholar |
Heng LK, Hsiao T, Evett S, Howell T, Steduto P (2009) Validating the FAO AquaCrop model for irrigated and water deficient field maize. Agronomy Journal 101, 488–498.
| Validating the FAO AquaCrop model for irrigated and water deficient field maize.Crossref | GoogleScholarGoogle Scholar |
Hensley M, Bennie ATP (2003) Application of water conservation technologies and their impact on sustainable agriculture in sub-Saharan Africa. In ‘Proceedings of the Symposium and Workshop on Water Conservation Technologies for Sustainable Dry land Agriculture in Sub-Saharan Africa’. 11 April 2003, Bloemfontein, South Africa. (Eds D Beukes, M de Villiers, S Mkhize, H Sally, L van Rensburg) pp. 2–17.
Hussein F, Janat M, Yakoub A (2011) Simulating cotton yield response to deficit irrigation with the FAO AquaCrop model. Spanish Journal of Agricultural Research 9, 1319–1330.
| Simulating cotton yield response to deficit irrigation with the FAO AquaCrop model.Crossref | GoogleScholarGoogle Scholar |
Karunaratne AS, Azam-Ali SN, Izzi G, Steduto P (2011) Calibration and validation of FAO-AquaCrop model for irrigated and water deficient bambara groundnut. Experimental Agriculture 47, 509–527.
| Calibration and validation of FAO-AquaCrop model for irrigated and water deficient bambara groundnut.Crossref | GoogleScholarGoogle Scholar |
Kholova J, Hash CT, Kumar PL, Yadav RS, Kočová M, Vadez V (2010) Terminal drought-tolerant pearl millet [Pennisetum glaucum (L.) R. Br.] have high leaf ABA and limit transpiration at high vapour pressure deficit. Journal of Experimental Botany 61, 1431–1440.
| Terminal drought-tolerant pearl millet [Pennisetum glaucum (L.) R. Br.] have high leaf ABA and limit transpiration at high vapour pressure deficit.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXjt1Kgurk%3D&md5=44bb1cedb91ac41fc920d6a6c6ad9b30CAS | 20142425PubMed |
Leisinger KM, Schmitt K (Eds) (1995) ‘Survival in the Sahel. An ecological and developmental challenge.’ (ISNAR: The Hague)
Mangat BK, Maiti RK, Kharval IS (1999) Pearl millet biology. In ‘Pearl millet breeding’. (Eds IS Khairwal, KN Rai, DJ Andrews, G Harinarayana) pp. 450–451. (Science Publishers: Boca Raton, FL, USA)
Naeem M, Chohan MSM, Khan AH (2007) Performance of pearl millet genotypes for forage under irrigated conditions. Journal of Agricultural Research 45, 199–203.
Nieuwoudt WL, Backeberg GR, du Plessis HM (2004) The value of water in the South African economy: Some implications. Agrekon 43, 162–183.
| The value of water in the South African economy: Some implications.Crossref | GoogleScholarGoogle Scholar |
NRC (National Research Council) (1996) ‘Lost crops of Africa: Vol. 1.’ pp. 1–5. (National Academy Press: Washington, DC)
Raes D, Steduto P, Hsiao TC, Ferreres E (2009) AquaCrop—The FAO crop model for predicting yield response to water: II. Main algorithms and software description. Agronomy Journal 101, 438–447.
| AquaCrop—The FAO crop model for predicting yield response to water: II. Main algorithms and software description.Crossref | GoogleScholarGoogle Scholar |
Smith M (2000) The application of climatic data for planning and management of sustainable rainfed and irrigated crop production. Agricultural and Forest Meteorology 103, 99–108.
| The application of climatic data for planning and management of sustainable rainfed and irrigated crop production.Crossref | GoogleScholarGoogle Scholar |
Soil Classification Working Group (1991) Soil classification – A taxonomic system for South Africa. Department of Agricultural Development, Pretoria, South Africa.
Spitters CJT (1990) Crop growth models: Their usefulness and limitations. Acta Horticulturae 267, 349–368.
| Crop growth models: Their usefulness and limitations.Crossref | GoogleScholarGoogle Scholar |
Steduto P, Hsiao TC, Fereres E (2007) On the conservative behaviour of biomass water productivity. Irrigation Science 25, 189–207.
| On the conservative behaviour of biomass water productivity.Crossref | GoogleScholarGoogle Scholar |
Steduto P, Hsiao TC, Raes D, Fereres E (2009) AquaCrop - The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agronomy Journal 101, 426–437.
| AquaCrop - The FAO crop model to simulate yield response to water: I. Concepts and underlying principles.Crossref | GoogleScholarGoogle Scholar |
Steduto P, Hsiao TC, Raes D, Fereres E, Izzi GG, Heng L, Hoogeveen J (2011) Performance review of AquaCrop—The FAO crop-water productivity model. In ‘Proceedings of ICID 21st International Congress on Irrigation and Drainage’. 15–23 October 2011, Tehran, Iran. (International Commission on Irrigation and Drainage)
Stricevic R, Cosic M, Djurovic N, Pejic B, Maksimovic L (2011) Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower. Agricultural Water Management 98, 1615–1621.
| Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower.Crossref | GoogleScholarGoogle Scholar |
van Oosterom EJ, Carberry PS, Hargreaves JNG, O’Leary GJ (2001) Simulating growth, development, and yield of tillering pearl millet II. Simulation of canopy development. Field Crops Research 72, 67–91.
| Simulating growth, development, and yield of tillering pearl millet II. Simulation of canopy development.Crossref | GoogleScholarGoogle Scholar |
van Oosterom EJ, O’Leary GJ, Carberry PS, Craufurd PQ (2002) Simulating growth, development, and yield of tillering pearl millet. III. Biomass accumulation and partitioning. Field Crops Research 79, 85–106.
| Simulating growth, development, and yield of tillering pearl millet. III. Biomass accumulation and partitioning.Crossref | GoogleScholarGoogle Scholar |
Walker S, Bello ZA, Beletse YG, Mabhaudhi T, Modi AT (2013) Calibration of AquaCrop model to predict water requirements of traditional African vegetables. Acta Horticulturae 1007, 943–949.
| Calibration of AquaCrop model to predict water requirements of traditional African vegetables.Crossref | GoogleScholarGoogle Scholar |
Willmott CJ (1982) Some components on the evaluation of model performance. Bulletin of the American Meteorological Society 63, 1309–1313.
| Some components on the evaluation of model performance.Crossref | GoogleScholarGoogle Scholar |
Winkel T, Rennol JF, Payne WA (1997) Effect of the timing of water deficit on growth, phenology and yield of pearl millet (Pennisetum glaucum (L.) R. Br.) grown in Sahelian conditions. Journal of Experimental Botany 48, 1001–1009.
| Effect of the timing of water deficit on growth, phenology and yield of pearl millet (Pennisetum glaucum (L.) R. Br.) grown in Sahelian conditions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2sXks1artbc%3D&md5=52c9b711c595fa84637ca96ca871952cCAS |
Winkel T, Payne W, Renno JF (2001) Ontogeny modifies the effects of water stress on stomatal control, leaf area duration and biomass partitioning of Pennisetum glaucum. New Phytologist 149, 71–82.
| Ontogeny modifies the effects of water stress on stomatal control, leaf area duration and biomass partitioning of Pennisetum glaucum.Crossref | GoogleScholarGoogle Scholar |
Zeleke KT, Luckett D, Cowley R (2011) Calibration and testing of the FAO AquaCrop model for canola. Agronomy Journal 103, 1610–1618.
| Calibration and testing of the FAO AquaCrop model for canola.Crossref | GoogleScholarGoogle Scholar |
