Results 151 to 160 of about 1,583,487 (262)
Abstract This study examined whether consuming a (poly)phenol‐rich food before strenuous muscle‐damaging exercise can modify post‐exercise markers of inflammation and oxidative stress. Using a double‐blinded, randomised, placebo‐controlled, between‐subjects design, 26 recreationally active males (n = 15) and females (n = 11) consumed higher‐(poly ...
Abrar Al Hebshi +5 more
wiley +1 more source
Abstract (Poly)phenols are a diverse group of bioactive chemical compounds present in a wide range of plant‐ and animal‐based foods. Several thousands of (poly)phenols exist; many have potent biological effects, most notably antioxidant, anti‐inflammatory and vasodilatory.
Glyn Howatson, Tom Clifford
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
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
Bacteriophages Control Epiphytic Pseudomonas syringae Populations in Highbush Blueberry Leaves [PDF]
The Pseudomonas syringae complex (Psc) is a group of globally distributed phytopathogens responsible for substantial agricultural losses. Here, we established a framework for the systematic identification and evaluation of bacteriophages targeting Psc strains isolated from highbush blueberries and identified candidate phages capable of suppressing ...
Ball C +13 more
europepmc +2 more sources
SMART: Speedy Measurement of Arabidopsis Rosette Traits
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
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
Influence of soil type on half-highbush blueberry productivity
The aim of the present study was to determine the influence of mineral and peat soil condition on the growth, yield and nutrient uptake of some half-highbush blueberry cultivars.
Tea Tasa +4 more
doaj
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
wiley +1 more source
Blueberries are recognized for their potential health benefits and high antioxidant levels. Increased dietary consumption of blueberry products may reduce risk factors associated with cancer, heart disease, and other degenerative diseases.
Leavens, Je'Velle Bonique
core
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
wiley +1 more source

