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Water use efficiency and light use efficiency in garlic using a remote sensing-based approach

Author

Listed:
  • Campoy, Jaime
  • Campos, Isidro
  • Plaza, Carmen
  • Calera, María
  • Jiménez, Nuria
  • Bodas, Vicente
  • Calera, Alfonso

Abstract

The objective of this paper was to determine the water use efficiency (WUE) and light use efficiency (LUE) values of garlic (Allium sativum L.) and to analyze the normalization of these efficiencies for the atmospheric conditions. We analyzed the use of daily reference evapotranspiration (ETo) and the vapor pressure deficit (VPD) for these purposes. WUE and LUE were valued based on the experimental measurements of dry biomass production and the estimation of transpiration and radiation interception based on time series of Remote Sensing satellite images. The experimental data were obtained in two commercial fields each planted with a different variety of garlic (var. morado and var. spring) growing in different weather conditions in the province of Albacete (in the south-east of Spain). The correlation between the accumulated values of biomass and the estimated values of crop transpiration and radiation absorption resulted in strong linear relationships. The slope of these correlations resulted in values of WUE and LUE, WUE = 5.51 g m−2 mm−1 and LUE = 2.26 g·MJ−1 for both analyzed varieties. The results demonstrated that the inclusion of temperature stress coefficient is required when the WUE and LUE parameters are normalized using the ETo and the VPD variables. However, atmospheric normalization did not conclusively improve results in this study. Results obtained in this paper provided empirical evidence regarding the feasibility of estimating biomass production in garlic based on the same physiological principles used for other crops.

Suggested Citation

  • Campoy, Jaime & Campos, Isidro & Plaza, Carmen & Calera, María & Jiménez, Nuria & Bodas, Vicente & Calera, Alfonso, 2019. "Water use efficiency and light use efficiency in garlic using a remote sensing-based approach," Agricultural Water Management, Elsevier, vol. 219(C), pages 40-48.
    • Handle: RePEc:eee:agiwat:v:219:y:2019:i:c:p:40-48
    DOI: 10.1016/j.agwat.2019.03.032
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    1. Duchemin, B. & Hadria, R. & Erraki, S. & Boulet, G. & Maisongrande, P. & Chehbouni, A. & Escadafal, R. & Ezzahar, J. & Hoedjes, J.C.B. & Kharrou, M.H. & Khabba, S. & Mougenot, B. & Olioso, A. & Rodrig, 2006. "Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices," Agricultural Water Management, Elsevier, vol. 79(1), pages 1-27, January.
    2. Fabeiro Cortes, C. & Martin de Santa Olalla, F. & Lopez Urrea, R., 2003. "Production of garlic (Allium sativum L.) under controlled deficit irrigation in a semi-arid climate," Agricultural Water Management, Elsevier, vol. 59(2), pages 155-167, March.
    3. Campos, Isidro & Balbontín, Claudio & González-Piqueras, Jose & González-Dugo, Maria P. & Neale, Christopher M.U. & Calera, Alfonso, 2016. "Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards," Agricultural Water Management, Elsevier, vol. 165(C), pages 141-152.
    4. Gonzalez-Dugo, M.P. & Mateos, L., 2008. "Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops," Agricultural Water Management, Elsevier, vol. 95(1), pages 48-58, January.
    5. Villalobos, F. J. & Testi, L. & Rizzalli, R. & Orgaz, F., 2004. "Evapotranspiration and crop coefficients of irrigated garlic (Allium sativum L.) in a semi-arid climate," Agricultural Water Management, Elsevier, vol. 64(3), pages 233-249, February.
    6. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    7. Domínguez, A. & Martínez-Romero, A. & Leite, K.N. & Tarjuelo, J.M. & de Juan, J.A. & López-Urrea, R., 2013. "Combination of typical meteorological year with regulated deficit irrigation to improve the profitability of garlic growing in central spain," Agricultural Water Management, Elsevier, vol. 130(C), pages 154-167.
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    2. Fei Chen & Ningbo Cui & Yaowei Huang & Xiaotao Hu & Daozhi Gong & Yaosheng Wang & Min Lv & Shouzheng Jiang, 2021. "Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    3. Jiang, Shouzheng & Zhao, Lu & Liang, Chuan & Hu, Xiaotao & Yaosheng, Wang & Gong, Daozhi & Zheng, Shunsheng & Huang, Yaowei & He, QingYan & Cui, Ningbo, 2022. "Leaf- and ecosystem-scale water use efficiency and their controlling factors of a kiwifruit orchard in the humid region of Southwest China," Agricultural Water Management, Elsevier, vol. 260(C).

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