Tolerance to spittlebugs (Aeneolamia varia) in Urochloa spp. and Megathyrsus maximus grasses: A dataset for plant damage phenotyping

This dataset results from controlled experiments that assess the tolerance of <i>Urochloa</i> spp. and <i>Megathyrsus maximus</i> grasses to nymphal and adult spittlebug damage, particularly from <i>Aeneolamia varia</i>, which significantly impacts forage production in Neotropical regions. Data were collected under standardized conditions using high-throughput phenotyping methods, integrating image-capture techniques and analyses to ensure precise and consistent data acquisition. The dataset serves as a foundational resource for developing and validating computer vision models aimed at automated phenotyping, enabling accurate and high-throughput assessment of plant tolerance to spittlebug damage. Researchers can use the dataset to benchmark and compare different methodologies for plant damage assessment, fostering standardization and reproducibility in phenotyping studies.

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Publication Details

Journal
Data in Brief
Published
2024-08-23
DOI
https://doi.org/10.1016/j.dib.2024.110857
Citations
1
Primary Topic
Plant responses to water stress
Type
article
Field-Weighted Citation Impact
0.60

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article

Tolerance to spittlebugs (Aeneolamia varia) in Urochloa spp. and Megathyrsus maximus grasses: A dataset for plant damage phenotyping

Rosa N. Chávez‐Jáuregui, Luis Hernández‐Pelegrín, Andrés Felipe Ruiz-Hurtado, Paula Espitia-Buitrago et al.
1 citations
Data in Brief
Plant responses to water stress
0.60
article

Tolerance to spittlebugs (Aeneolamia varia) in Urochloa spp. and Megathyrsus maximus grasses: A dataset for plant damage phenotyping

Rosa N. Chávez‐Jáuregui, Luis Hernández‐Pelegrín, Andrés Felipe Ruiz-Hurtado, Paula Espitia-Buitrago, Juan Andrés Cardoso
article en
1 citations

Abstract

This dataset results from controlled experiments that assess the tolerance of <i>Urochloa</i> spp. and <i>Megathyrsus maximus</i> grasses to nymphal and adult spittlebug damage, particularly from <i>Aeneolamia varia</i>, which significantly impacts forage production in Neotropical regions. Data were collected under standardized conditions using high-throughput phenotyping methods, integrating image-capture techniques and analyses to ensure precise and consistent data acquisition. The dataset serves as a foundational resource for developing and validating computer vision models aimed at automated phenotyping, enabling accurate and high-throughput assessment of plant tolerance to spittlebug damage. Researchers can use the dataset to benchmark and compare different methodologies for plant damage assessment, fostering standardization and reproducibility in phenotyping studies.

Data in BriefVol. 56
International Center for Tropical Agriculture (CO)
Consortium of International Agricultural Research Centers
Zero hunger
Openalex Percentile: Top 22%
Plant responses to water stress
0.60
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