Results 101 to 110 of about 14,693 (242)

The effects of a (poly)phenol‐rich food intervention on markers of exercise‐induced inflammation and oxidative stress: A randomised controlled trial

Experimental Physiology, EarlyView.
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, Josh Thorley, Ana Rodriguez‐Mateos, Zicheng Zhang, Lewis J James, Tom Clifford   +5 more
wiley   +1 more source

Introduction to Southern Highbush Blueberry Cultivation in Containers

EDIS
Blueberry bushes prefer well drained, acidic soils with high organic matter content. These soil characteristics are not common in many parts of the world.
Gerardo H. Nunez, Martin Zapien, Douglas Phillips   +2 more
doaj   +1 more source

(Poly)phenols: Mechanisms of action and efficacy of contemporary supplements for exercise recovery and performance

Experimental Physiology, EarlyView.
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

The 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, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

SMART: Speedy Measurement of Arabidopsis Rosette Traits

The 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, Allison E. Harris, Jiamei Li, Fiona L. Goggin, David G. Mendoza‐Cozatl, Alexander Bucksch   +5 more
wiley   +1 more source

Different processing methods on anthocyanin composition and antioxidant capacity in blueberry juice: Based on metabolomics and DFT analysis

eFood
Blueberry juice is one of deep‐processed products of blueberries, anthocyanins are main bioactive substance in blueberry juice. However, anthocyanins have poor stability.
Shuting Liu, Chuang Ma, Ye Zhang, Yining Wang, Jinlong Tian, Bin Li, Jin Zhao   +6 more
doaj   +1 more source

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

The 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, Collins Wakholi, Devin A. Rippner, John H. Price, Kayla R. Altendorf, Garett C. Heineck, Juan Zalapa, Jenyne Loarca, Gina M. Sideli   +8 more
wiley   +1 more source

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, Fangyi Wang, Daniel E. Runcie   +2 more
wiley   +1 more source

Resveratrol: Advance on the Most Recent Research From 2021 to 2025

Phytochemicals in Food and Medicine, Volume 1, Issue 3, September 2026.
This review summarizes recent progress in resveratrol research (2021–2025), highlighting its natural sources, bioactivities, clinical evidence, and safety profiles. Resveratrol exerts multi‐target effects through the regulation of oxidative stress, inflammation, mitochondrial function, and gut microbiota.
Quanyong Wu, Boya Ouyang, Yi Yuan, Jesus Simal‐Gandara, Hui Cao   +4 more
wiley   +1 more source

[Blueberry muffin syndrome].

The Pan African medical journal, 2012
Le Blueberry Muffin Baby est un syndrome cutané rare observé en période néonatale. Il est caractérisé par des papulo-nodules disséminés inflammatoires traduisant des réactions d’hématopoïèse dermique. Plusieurs causes doivent être recherchées, notamment les infections congénitales, une hémolyse sévère et les pathologies tumorales.
Sarra Benmiloud, Ghizlane Elhaddou, Zoubida Alaoui Belghiti, Moustapha Hida, Abdelhak Bouharrou   +4 more
openaire   +3 more sources