Results 111 to 120 of about 2,457,508 (205)
Philosophy of phenomic prediction and its incompatibility with causal inference
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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
Root phenomics of crops: opportunities and challenges
, 2015 This paper originates from a presentation at the 1st International Plant Phenomics ...
Sonja Schmidta +12 more
core +1 more source
Plant phenomics & precision agriculture simulation of winter wheat growth by the assimilation of unmanned aerial vehicle imagery into the WOFOST model. [PDF]
PLoS One, 2021 Yang T +5 more
europepmc +1 more source
Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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
Phenomic prediction of club wheat milling yields
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Near‐infrared reflectance spectroscopy (NIRS) provides a nondestructive method for estimating physical and chemical grain properties and is widely used in breeding programs to phenotype traits such as texture, color, moisture, protein, and oil content. Club wheat (Triticum aestivum subsp.
Peter Schmuker +4 more
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Accurate and scalable phenotyping is essential for accelerating genetic gain in soybean (Glycine max (L.) Merr.) breeding programs. Traditional methods for estimating physiological maturity are labor‐intensive and prone to subjectivity, limiting throughput and consistency. This study evaluates the potential of high‐resolution satellite imagery
Anastasios Mazis +6 more
wiley +1 more source
MaizeEar‐SAM: Zero‐shot maize ear phenotyping
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Quantifying the variation in yield component traits of maize (Zea mays L.), which collectively determine the overall productivity of this globally significant crop, is critical to plant genetics research, plant breeding, and the development of improved agronomic practices.
Hossein Zaremehrjerdi +8 more
wiley +1 more source
, 2020 This internet resource contains reports throughout the yearCOVID-19 Update Special Edition -- Original Plan for 2020 -- Kansas Cooperative Plant Disease Survey Report Preliminary 2020 Kansas Wheat Disease Loss ...
Kansas. Plant Protection and Weed Control Section
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