Title:	A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species.
Authors:	CASTILHO, D. TEDESCO, D. HERNANDEZ, C. MADARI, B. E. CIAMPITTI, I.
Affiliation:	DIOGO CASTILHO, UNIVERSIDADE FEDERAL DE GOIÁS; DANILO TEDESCO, KANSAS STATE UNIVERSITY; CARLOS HERNANDEZ, KANSAS STATE UNIVERSITY; BEATA EMOKE MADARI, CNPAF; IGNACIO CIAMPITTI, KANSAS STATE UNIVERSITY.
Date Issued:	2024
Citation:	Scientific Data, v. 11, 585, 2024.
Description:	Enhancing rapid phenotyping for key plant traits, such as biomass and nitrogen content, is critical for effectively monitoring crop growth and maximizing yield. Studies have explored the relationship between vegetation indices (VIs) and plant traits using drone imagery. However, there is a gap in the literature regarding data availability, accessible datasets. Based on this context, we conducted a systematic review to retrieve relevant data worldwide on the state of the art in drone-based plant trait assessment. The final dataset consists of 41 peer-reviewed papers with 11,189 observations for 11 major crop species distributed across 13 countries. It focuses on the association of plant traits with VIs at different growth/phenological stages. This dataset provides foundational knowledge on the key VIs to focus for phenotyping key plant traits. In addition, future updates to this dataset may include new open datasets. Our goal is to continually update this dataset, encourage collaboration and data inclusion, and thereby facilitate a more rapid advance of phenotyping for critical plant traits to increase yield gains over time.
Thesagro:	Nitrogênio Fenótipo
NAL Thesaurus:	Agronomic traits Field crops Nitrogen Phenotype Biomass Data collection
Keywords:	Drone imagery
ISSN:	2052-4463
DOI:	https://doi.org/10.1038/s41597-024-03357-2
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPAF)