Title:	Vegetation indices as rapid, non-destructive tool to assess nitrogen status in irrigated rice.
Authors:	SANTOS, M. P. dos REGES, N. P. R. SANTOS, A. B. dos STONE, L. F. HEINEMANN, A. B.
Affiliation:	MARCOS PAULO DOS SANTOS, INSTITUTO FEDERAL DO MATO GROSSO DO SUL; NÍVEA PATRÍCIA RIBEIRO REGES, UNIVERSIDADE FEDERAL DE GOIÁS; ALBERTO BAETA DOS SANTOS, CNPAF; LUIS FERNANDO STONE, CNPAF; ALEXANDRE BRYAN HEINEMANN, CNPAF.
Date Issued:	2025
Citation:	Modern Agriculture, v. 3, n. 2, e70018, Dec. 2025.
Description:	The use of optical radiation sensors is a promising strategy for nitrogen management as it reduces the costs of chemical analyses and allows quick decision-making in the supplementary application of N to irrigated rice. By combining three spectral reflectance bands (red, far-red, and near-infrared), 22 vegetation indices (VIs) were computed and assessed for their effectiveness in estimating the nitrogen status of rice crops. The results indicated that the selected VIs considerably underestimated dry leaf biomass (DLB) and did not efficiently estimate N status parameters, such as leaf N concentration (LNC) and leaf N uptake, at the vegetative stage. The large variations in these N status parameters can be explained by the VI in subsequent stages. The VI selected in the parametrisation process was promising for explaining variation in DLB and leaf area index at the reproductive and grain-filling stages. However, the VI showed low performance in estimating LNC at the reproductive stage. The modified red-edge soil-adjusted VI and normalised difference red-edge index showed high performance in estimating the N nutrition index in the growth stage and across the whole crop cycle. These results show the importance of using active sensors for effective crop N status estimation.
Thesagro:	Arroz Irrigado Oryza Sativa Sensoriamento Remoto
NAL Thesaurus:	Rice Spectral analysis Remote sensing Nitrogen Vegetation index Radiation use efficiency Ecophysiology
Keywords:	Irrigated rice Low-altitude Radiation bands Ecofisiologia
ISSN:	2751-4102
DOI:	https://doi.org/10.1002/moda.70018
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPAF)