Results 111 to 120 of about 7,640 (219)
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
Planting recommendations for blueberry — sweetfern sites in northern Ontario
This is an extension of a 1968 report on experiments established to study species, age-classes, and planting site treatments for blueberry-sweet-fern (Vaccinium-Comptonia) sites in northern Ontario. Red pine (3–0 and 2–2) and jack pine (2–0 and 2–1) were planted in scalped spots, in furrows, in herbicide-spray strips, in ground cover, and in bulldozed
openaire +1 more source
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
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
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
Phenomic prediction of club wheat milling yields
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
ABSTRACT A lethal round‐cell malignancy with an MN1::ZNF341 fusion has recently been reported in three infants. Here, we describe four further tumors, three in newborns (including monozygotic twins), and one in an adolescent. Detailed clinical, radiological, and histopathological data differentiate these tumors from their main mimics, neuroblastoma and
Thomas R. W. Oliver +25 more
wiley +1 more source
Biocompatible bovine serum albumin‐stabilized copper nanoclusters (Cu@BSA NCs) were engineered to integrate potent antimicrobial activity with efficient pesticide adsorption. The dual mechanism, involving Cu species/ROS‐mediated microbial inactivation and BSA‐facilitated pesticide capture, enables simultaneous extension of fresh produce shelf‐life by ≥
Yongqi Wei +8 more
wiley +1 more source

