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Comparative performance of remote sensing methods in assessing wheat performance under Mediterranean conditions

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  • Yousfi, Salima
  • Kellas, Nassim
  • Saidi, Lila
  • Benlakehal, Zahra
  • Chaou, Lydia
  • Siad, Djamila
  • Herda, Farid
  • Karrou, Mohamed
  • Vergara, Omar
  • Gracia, Adrian
  • Araus, José Luis
  • Serret, Maria Dolores

Abstract

Vegetation indices and canopy temperature are the most usual remote-sensing approaches to assess cereal performance under Mediterranean conditions. However wide differences exist in the costs of the different equipment deployed to measure vegetation indices (e.g. spectroradiometers versus conventional red/green/blue cameras) or canopy temperature (infrared thermometers versus thermal cameras). In this study we compared different methodological approaches measuring vegetation indices and canopy temperature in durum wheat (Triticum turgidum L. ssp. durum (Desf.) Husn.) and bread wheat (Triticum aestivum L.) under different water conditions. These two categories of indices were correlated against grain yield during two consecutive years and with total biomass as well as water status (evaluated as carbon isotope composition, δ13C, and stomatal conductance) and nitrogen status (nitrogen and chlorophyll content) of the flag leaf during the first year. For the two crop species, and regardless of the device used, vegetation indices (the green area and the greener area) obtained with conventional cameras and the normalized difference vegetation index (NDVI) measured with a spectroradiometer were significantly correlated with grain yield, δ13C and stomatal conductance. Moreover, while canopy temperature measured with a thermal camera was better related to grain yield and δ13C than when measured with a low cost device such as an infrared thermometer, the latter approach still performs reasonably well when assessing yield and water status. This study highlights the usefulness of low-cost approaches to assess crop growth and water status in wheat under Mediterranean conditions.

Suggested Citation

  • Yousfi, Salima & Kellas, Nassim & Saidi, Lila & Benlakehal, Zahra & Chaou, Lydia & Siad, Djamila & Herda, Farid & Karrou, Mohamed & Vergara, Omar & Gracia, Adrian & Araus, José Luis & Serret, Maria Do, 2016. "Comparative performance of remote sensing methods in assessing wheat performance under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 164(P1), pages 137-147.
    • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p1:p:137-147
    DOI: 10.1016/j.agwat.2015.09.016
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    References listed on IDEAS

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    1. Droogers, P. & Immerzeel, W.W. & Lorite, I.J., 2010. "Estimating actual irrigation application by remotely sensed evapotranspiration observations," Agricultural Water Management, Elsevier, vol. 97(9), pages 1351-1359, September.
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    Cited by:

    1. Wang, Chu & Zhu, Kai & Bai, YanYan & Li, ChenYan & Li, Maona & Sun, Yan, 2024. "Response of stomatal conductance to plant water stress in buffalograss seed production: Observation with UAV thermal infrared imagery," Agricultural Water Management, Elsevier, vol. 292(C).
    2. Rezzouk, Fatima Zahra & Gracia-Romero, Adrian & Kefauver, Shawn C. & Nieto-Taladriz, Maria Teresa & Serret, Maria Dolores & Araus, José Luis, 2022. "Durum wheat ideotypes in Mediterranean environments differing in water and temperature conditions," Agricultural Water Management, Elsevier, vol. 259(C).
    3. Roberto Mancinelli & Mohamed Allam & Verdiana Petroselli & Mariam Atait & Merima Jasarevic & Alessia Catalani & Sara Marinari & Emanuele Radicetti & Aftab Jamal & Zainul Abideen & Gabriele Chilosi, 2023. "Durum Wheat Production as Affected by Soil Tillage and Fertilization Management in a Mediterranean Environment," Agriculture, MDPI, vol. 13(2), pages 1-15, February.
    4. Mohamed A. Darwish & Ahmed F. Elkot & Ahmed M. S. Elfanah & Adel I. Selim & Mohamed M. M. Yassin & Elsayed A. Abomarzoka & Maher A. El-Maghraby & Nazih Y. Rebouh & Abdelraouf M. Ali, 2023. "Evaluation of Wheat Genotypes under Water Regimes Using Hyperspectral Reflectance and Agro-Physiological Parameters via Genotype by Yield*Trait Approaches in Sakha Station, Delta, Egypt," Agriculture, MDPI, vol. 13(7), pages 1-20, June.
    5. Yousfi, Salima & Marín, José & Parra, Lorena & Lloret, Jaime & Mauri, Pedro V., 2022. "Remote sensing devices as key methods in the advanced turfgrass phenotyping under different water regimes," Agricultural Water Management, Elsevier, vol. 266(C).

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