UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria (ICPSR doi:10.26165/JUELICH-DATA/UUBQJY)

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Part 2: Study Description
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Document Description

Citation

Title:

UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria

Identification Number:

doi:10.26165/JUELICH-DATA/UUBQJY

Distributor:

Jülich DATA

Date of Distribution:

2026-08-17

Version:

1

Bibliographic Citation:

Quiros, Juan, 2026, "UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria", https://doi.org/10.26165/JUELICH-DATA/UUBQJY, Jülich DATA, V1

Study Description

Citation

Title:

UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria

Identification Number:

doi:10.26165/JUELICH-DATA/UUBQJY

Authoring Entity:

Quiros, Juan (IBG-2)

Grant Number:

008053

Grant Number:

58147

Distributor:

Jülich DATA

Access Authority:

Juan Quiros-Vargas

Access Authority:

Anna van Doorn

Access Authority:

Ismail Y. Rabbi

Access Authority:

Hans-Peter Piepho

Access Authority:

Juliane Bendig

Access Authority:

Wolfgang Zierer

Access Authority:

Uwe Sonnewald

Access Authority:

Uwe Rascher

Access Authority:

Onno Muller

Depositor:

Grygosch, Lars

Date of Deposit:

2026-07-06

Study Scope

Keywords:

Agricultural Sciences, Phenotyping, Heritability, Repeatibility, Growth dynamics

Abstract:

This dataset contains UAV-derived raster and vector data from cassava field trials conducted at the International Institute of Tropical Agriculture (IITA), Nigeria, during two consecutive growing seasons: 2018-2019 in Ibadan and 2019-2020 in Ikenne. The raster data include multi-temporal RGB orthomosaics and crop surface models (CSMs) generated from high-resolution UAV imagery. The vector data include plot-level polygon files for each season, with unique plot identifiers and associated canopy trait information. The dataset supports the analysis of UAV-derived cassava canopy traits, including plant height, plant volume, relative growth rate of plant height, and relative growth rate of plant volume. These data were used to evaluate temporal canopy growth dynamics, repeatability, and heritability of UAV-derived structural traits across 46 cassava genotypes.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Quiros-Vargas, J., van Doorn, A., Rabbi, I. Y., Piepho, H.-P., Bendig, J., Zierer, W., Sonnewald, U., Rascher, U., & Muller, O. (2026). Repeatability and heritability of UAV-derived canopy traits in a cassava breeding population using time-series data from two consecutive growing seasons. bioRxiv. https://doi.org/10.64898/2026.06.03.729518

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20180817_csm.tif

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CASS_UAV_Cassava_Phenotyping_Nigeria_2018_2020-METADATA.xlsx

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