Biomass is strictly related to nitrogen (N) status, and its non-destructive estimation can be of interest to precision N management. Some spectral vegetation indices (SVIs) were monitored at five growth stages under different N rates to assess if canopy reflectance can be used to estimate tomato biomass. Given that linear relationships between SVI and biomass are calibrated only at the specific growth stage, a new approach for biomass estimation across the entire growing cycle is proposed. The slopes and intercepts of linear relationships between NDRE (normalized difference on red edge vegetation index) and biomass were retrieved as a function of the growing degree days (GDDs), making the estimation of biomass feasible across the entire growing season. However, because of the poor reliability observed during the early and late stages of the life cycle, the dynamic adoption of different SVIs at the single growth stages is recommended.
Cerasola, V.A., Di Marco, A., Pennisi, G., Orsini, F., Bona, S., Gianquinto, G. (2023). Modeling the canopy reflectance to predict tomato biomass for precision nitrogen management. Wagenigen : Wageningen Academic Publishers [10.3920/978-90-8686-947-3_132].
Modeling the canopy reflectance to predict tomato biomass for precision nitrogen management
Cerasola, V. A.
Primo
Writing – Original Draft Preparation
;Pennisi, G.Writing – Review & Editing
;Orsini, F.Writing – Review & Editing
;Gianquinto, G.Ultimo
Supervision
2023
Abstract
Biomass is strictly related to nitrogen (N) status, and its non-destructive estimation can be of interest to precision N management. Some spectral vegetation indices (SVIs) were monitored at five growth stages under different N rates to assess if canopy reflectance can be used to estimate tomato biomass. Given that linear relationships between SVI and biomass are calibrated only at the specific growth stage, a new approach for biomass estimation across the entire growing cycle is proposed. The slopes and intercepts of linear relationships between NDRE (normalized difference on red edge vegetation index) and biomass were retrieved as a function of the growing degree days (GDDs), making the estimation of biomass feasible across the entire growing season. However, because of the poor reliability observed during the early and late stages of the life cycle, the dynamic adoption of different SVIs at the single growth stages is recommended.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
