ArticleFrontiers in plant science2023
Phenomic selection in slash pine multi-temporally using UAV-multispectral imagery.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Genetic Variation in Pulpwood Properties of Hybrid Larch Families and Their Progenies.Plants (Basel, Switzerland) · 2026Article
- Needle- and Canopy-Level Genetic Variation in Scots Pine (Evolutionary applications · 2025Article
- Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat.Molecular breeding : new strategies in plant improvement · 2024Article
- Enhancing genomic association studies in slash pine through close-range UAV-based morphological phenotyping.Forestry research · 2024Article
- MTSC-Net: A Semi-Supervised Counting Network for Estimating the Number of Slash pine New Shoots.Plant phenomics (Washington, D.C.) · 2024Article
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Authors and funding
7 authors.
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Abstract
Genomic selection (GS) is an option for plant domestication that offers high efficiency in improving genetics. However, GS is often not feasible for long-lived tree species with large and complex genomes. In this paper, we investigated UAV multispectral imagery in time series to evaluate genetic variation in tree growth and developed a new predictive approach that is independent of sequencing or pedigrees based on multispectral imagery plus vegetation indices (VIs) for slash pine. Results show that temporal factors have a strong influence on the
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