Evaluation of physiological and biometric parameters of potato (Solanum tuberosum L.) Under different water regimes by proximate sensing (Comunicazione a convegno)

Type
Label
  • Evaluation of physiological and biometric parameters of potato (Solanum tuberosum L.) Under different water regimes by proximate sensing (Comunicazione a convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Hammaoui A., Albrizio R., Buono V., Todorovic M. (2013)
    Evaluation of physiological and biometric parameters of potato (Solanum tuberosum L.) Under different water regimes by proximate sensing
    in 1st CIGR Inter-Regional Conference on Land and Water Challenges, Bari, 10-14 settembre
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Hammaoui A., Albrizio R., Buono V., Todorovic M. (literal)
Pagina inizio
  • 120 (literal)
Pagina fine
  • 120 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the 1st CIGR Inter-Regional Conference on Land and Water Challenges on \"Water, environment and agriculture: challenges for sustainable development\" (literal)
Note
  • Abstract (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • cnr ISAFOM, CIHEAM-IAMB (literal)
Titolo
  • Evaluation of physiological and biometric parameters of potato (Solanum tuberosum L.) Under different water regimes by proximate sensing (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Lamaddalena N., Todorovic M., Pereira L.S. (literal)
Abstract
  • A field experiment has been conducted in Southern Italy (Valenzano, Bari) under open field conditions to evaluate the use of proximate sensing techniques for monitoring potato (Solanum tuberosum L.) development and growth under different water regimes. Three water levels have been applied, rainfed (I0), 50 % of irrigation requirements (I50) and full irrigation (I100), in order to assess the impact of water stress on the crop growth and physiology. The irrigation scheduling has been managed via an Excel-based irrigation tool that employed meteorological, soil and crop data for a day-by-day estimation of the soil water balance in the effective root zone. This study aims to establish a comprehensive dataset with different types of measurements in order to link a set of spectral vegetative indexes (such as Simple Ratio, Normalized Difference Vegetation Index, Soil Adjusted Vegetation Index and the Water Index) as well as the thermal crop water stress index (CWSI), with some eco-physiological and biometric crop parameters. The variations of the physiological functions of potato at different phenological stages have been monitored under the three water regimes. The preliminary results indicated that under the water stress a reduction of stomatal conductance is observed which affected the rate of photosynthesis, canopy cover and biomass production and yield. Both the CWSI and the Water Index have shown a high sensitivity to the level of plant water status, with a clear correlation with the level of stomatal conductance and other physiological parameters, confirming the reliability of the indexes to detect the relative level of water stress when properly applied at the leaf scale. On the other side, with respect to the VIs applied at canopy scale, the spectral vegetation indices NDVI and SAVI showed generally a good level of correlation with leaf area index and fraction of ground cover, although NDVI seemed to reach a saturation level for values of LAI around 3, while SAVI seems to require a better parameterization of the effect of the soil background under the different levels of effective ground cover. Based on these preliminary findings, it can be confirmed that proximate sensing techniques and derived indexes could be powerful and effective methods to support the real-time monitoring of crop water status for a more appropriate irrigation scheduling (literal)
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