Results 51 to 60 of about 7,352 (157)

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

SMART: Speedy Measurement of Arabidopsis Rosette Traits

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu   +5 more
wiley   +1 more source

BerryBox: An affordable computer vision system for postharvest phenotyping of cranberry and other small fruits

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart   +8 more
wiley   +1 more source

Philosophy of phenomic prediction and its incompatibility with causal inference

open access: yesThe 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

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

open access: yesThe 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

Phenomic prediction of club wheat milling yields

open access: yesThe 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

Balancing gain and diversity: Optimal contribution selection for sustainable genetic improvement in sugarcane

open access: yesThe Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Sugarcane (Saccharum spp. hybrids), the source of ∼80% of the worlds sugar, has experienced a plateau in genetic improvement over recent decades. This stagnation is largely due to the crop's complex polyploid genome and long breeding cycles, which limit the efficiency of traditional selection methods.
Natalya Vo Van‐Zivkovic   +5 more
wiley   +1 more source

Does More Speech Therapy Lead to Better Results in Childhood Apraxia of Speech? A Systematic Review and Meta‐Analysis of the Available Evidence

open access: yesInternational Journal of Language &Communication Disorders, Volume 61, Issue 6, November/December 2026.
ABSTRACT Background In recent years there has been a significant increase in the number and quality of childhood apraxia of speech (CAS) treatment research published. Much of this research has focussed on establishing treatment efficacy and identifying treatment components.
Patricia McCabe   +4 more
wiley   +1 more source

Potential and Trend of MXene in Smart Biocomposites Applications: A Review

open access: yesAdvanced Sustainable Systems, Volume 10, Issue 10, October 2026.
MXene‐based biocomposites emerge as a promising class of multifunctional materials that integrate the exceptional electrical, thermal, and electrochemical properties of MXenes with the biocompatibility and sustainability of biopolymers. This review examines their synthesis, fabrication, and structure–property relationships while highlighting ...
Joy Chigozie Anene‐Amaechi   +3 more
wiley   +1 more source

The Future of Native Bees in Australia Under Environmental and Anthropogenic Change

open access: yesEcology and Evolution, Volume 16, Issue 10, October 2026.
Bees are considered one of the most important and abundant pollinators across the globe, yet they are under threat from anthropogenic activities such as land‐clearing, urbanisation, agricultural activities, pesticide use, non‐native flora and fauna introductions, disruption of natural fire regimes, pollution and climate change, among others.
Scarlett R. Howard, Kit S. Prendergast
wiley   +1 more source

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