Use of consumer-grade cameras to assess wheat N status and grain yield

Relationships between (a) fractional Intercepted PAR (fIPAR), and (b) aboveground biomass (Biomass) and (c) grain yield at harvest with the Normalized Difference Vegetation Index (NDVI) derived either from a spectroradiometer or a conventional camera at final grain filling (n = 12).Postprint (published version

Water availability affects the capability of reflectance indices to estimate berry yield and quality attributes in rain-fed vineyards

Remote sensing methods are known to provide estimates of berry quality. However, previous studies have shown that the Normalized Difference Vegetation Index (NDVI) failed to predict berry quality attributes in rain-fed vineyards. This study explores the association of several reflectance indices with vine biophysical characteristics and berry yield and quality attributes and their temporal stability. The study was conducted in rain-fed Chardonnay vineyards located around Masquefa (Penedès region, Catalonia, Spain) over four years. Canopy reflectance, fractional Intercepted Photosynthetic Active Radiation, predawn water potential and canopy temperature at midday were measured at veraison whereas berry yield and quality attributes were determined at harvest. Water availability and vine biophysical attributes showed large temporal stability whereas berry quality attributes were not temporally stable. The capability of reflectance indices to estimate berry quality attributes was subject to the timing and extent of water deficits. The NDVI, the Photochemical Reflectance Index (PRI) and the Water Index (WI) provided estimates of berry quality attributes under mild, moderate and severe water deficits, respectively. These results might have potential applications in precision viticulture activities such as selective harvesting according to grape quality attributes and the assessment of ripening.Postprint (published version

Use of reflectance indices to assess vinewater status under mild to moderate water deficits

The monitoring of vine water status is of interest for irrigation management in order toimprove water use while optimizing both berry yield and quality. Remote-sensing techniques mightprovide accurate, rapid, and non-destructive estimates of vine water statusPeer ReviewedPostprint (published version

Efectes ecofisiològics d'una sequera experimental sobre l'alzinar de Prades

Postprint (published version

BAETULO XXI, o de com arribar a Mart des de la secundària

Preprin

Passeig ecofisiològic per l'espai i pel temps: l'estudi de les alteracions produïdes pels canvis climàtics i atmosfèrics en l'estructura i el funcionament de les plantes i dels ecosistemes terrestres

Postprint (published version

Ecofisiología de las relaciones hídricas de la Actinidia en el Maresme

Postprint (published version