Results 131 to 140 of about 14,692 (226)
Blueberry Progress Reports [PDF]
, 1980 The 1979 edition of the Blueberry Progress Reports was prepared for the Maine Blueberry Commission and the University of Maine Blueberry Advisory Committee by researchers with the Maine Life Sciences and Agriculture Experiment Station and Maine ...
McLaughlin, Edward +13 more
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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 +5 more
wiley +1 more source
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
Blueberry Research Progress Report [PDF]
, 1977 The 1976 edition of the Blueberry Research Progress Report was prepared for the Blueberry Advisory Committee by researchers at the University of Maine, Orono. Projects in this report include: 1. Effect of Plant-Water Stress on Lowbush Blueberry Growth,
True, Ruth H +11 more
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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 +12 more
wiley +1 more source
, 2023 Hair fescue (Festuca filiformis) is the pest of greatest concern for the Nova Scotian wild blueberry (Vaccinium angustifolium Ait.) industry given its rapid spread and lack of effective treatment options.
MacEachern, Craig
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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 +5 more
wiley +1 more source
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 +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 +2 more
wiley +1 more source
Weeds are the major limiting factor in lowbush blueberry production with stands consisting of a range of woody and herbaceous perennials. However, recent weed surveys have identified an increased occurrence of annual weeds such as cow wheat (Melampyrum ...
Deveau, Vanessa Taylor
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