Ground Truthing and Physiological Validation of Vis-NIR Spectral Indices for Early Diagnosis of Nitrogen Deficiency in cv. Barbera (Vitis vinifera L.) Grapevines
Autor: | Marta Buzzi, Massimo Vincini, Matteo Gatti, Alberto Vercesi, Alessandra Garavani, Ferdinando Calegari, Michele Croci, Cecilia Squeri, Stefano Poni |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Vine phenotyping visual symptoms Vegetative reproduction Red edge 01 natural sciences Veraison yield components chemistry.chemical_compound red-edge Dry matter Mathematics mineral nutrition assimilation Nitrogen deficiency fungi food and beverages 04 agricultural and veterinary sciences Horticulture chemistry Chlorophyll Shoot 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Settore AGR/03 - ARBORICOLTURA GENERALE E COLTIVAZIONI ARBOREE Agronomy and Crop Science leaf age 010606 plant biology & botany |
Zdroj: | Agronomy Volume 9 Issue 12 |
ISSN: | 2073-4395 |
DOI: | 10.3390/agronomy9120864 |
Popis: | Several narrow or broadband spectral indices can be calculated at varying spatial and spectral resolution, which can then be correlated with the physiological and nutritional status of the leaves. In a three-year trial carried out on fruiting, potted cv. Barbera grapevines subjected to full (N+) or no (N0) nitrogen supply, seasonal evolution of different leaf spectral indices were correlated with non-destructive chlorophyll readings (Minolta SPAD meter), leaf gas exchange, and vine performance. Throughout the entire trial, N starvation resulted in greater-than-proportional limitation of vine yield as compared to vegetative growth (55% compared to 26% less than values measured on N+). Indices calculated within the red-edge spectral domain had highest sensitivity to relative change between N+ and N0, also indicating that the promptest response was recorded at the median shoot zone level. Twelve broadband indices were linearly correlated with leaf blade N concentration at veraison, indicating that N values &le 1.8% of dry matter identify a limiting N status. Any of these indices collected at the leaf level can be reliably used as a non-destructive predictor of N availability, albeit due to significant between-year variation in their absolute values at a given N level, readings should always include a well-supplied N treatment. |
Databáze: | OpenAIRE |
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