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The Complexities of Modern Plant Phenomics: A Guest Blog by our Plant Phenomics Series Guest Editors
Imagine you would like to study a plant species of interest, say for its ability to supply food, fiber, fuel or just to gain a deeper scientific understanding. Two approaches immediately come to mind: an understanding of its underlying genetics and an understanding of plant phenomics, which spans how the genes express themselves across huge length ...
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Leveraging sensor technologies for seed phenotyping by genebanks
Genebanks serve as critical repositories for preserving the genetic diversity of plant species, including crops, forages, and their wild relatives, which is essential for adapting to climate change, enhancing food security, and improving agricultural ...
Kioumars Ghamkhar, David Rousseau
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Erratum to: ARADEEPOPSIS, an Automated Workflow for Top-View Plant Phenomics using Semantic Segmentation of Leaf States. [PDF]
Hüther P +4 more
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Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan +5 more
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Philosophy of phenomic prediction and its incompatibility with causal inference
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann +2 more
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Plant phenomics & precision agriculture simulation of winter wheat growth by the assimilation of unmanned aerial vehicle imagery into the WOFOST model. [PDF]
Yang T +5 more
europepmc +1 more source
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer +6 more
wiley +1 more source
Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner +9 more
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Abstract Water scarcity represents a major constraint to crop productivity, increasing interest in sustainable strategies such as plant growth‐promoting microorganisms (PGPM). This study investigated the effects of a commercial PGPM consortium, composed of four Bacillus spp.
Christian Lorenz +3 more
wiley +1 more source
Editorial: Women in plant science - linking genome to phenome
Published by Frontiers Media ...
Villő Bernád +3 more
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