Results 191 to 200 of about 18,671 (262)

Impact of cultural practices on two‐spotted spider mite (Tetranychus urticae Koch) infestation in tomato cultivation in the Central Rift Valley of Ethiopia

open access: yesCrop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Abstract The two‐spotted spider mite (TSSM; Tetranychus urticae Koch) is a major pest of tomato (Solanum lycopersicum L.), causing substantial yield and quality losses in Ethiopia and worldwide. The present study evaluated the impact of tomato branch pruning and trellising on TSSM populations and yield in the Central Rift Valley tomato production area ...
Amhaeyesus Belete   +2 more
wiley   +1 more source

Curly protein nanofibril systems for improving thermal stability and copigmentation of hibiscus anthocyanins

open access: yesJournal of the Science of Food and Agriculture, Volume 106, Issue 15, Page 9713-9727, December 2026.
Abstract BACKGROUND Anthocyanins are attractive natural colorants for clean‐label food applications; however, their widespread use is limited by poor thermal stability. Protein nanofibrils have recently emerged as promising natural stabilizers because of their high surface area and ability to interact with anthocyanins through non‐covalent interactions.
Vildan Eyiz   +2 more
wiley   +1 more source

From Food Waste to Phytochemicals: Green Recovery, Food‐Matrix Applications, and Metabolic‐Health Translation of Residue‐Derived Polyphenols

open access: yesPhytochemicals in Food and Medicine, Volume 1, Issue 4, December 2026.
Decision rule: The lowest‐scoring gate determines overall readiness. Suggested concise take‐home message: Residue‐derived polyphenols should advance from chemically defined sources through food‐grade recovery and real‐matrix validation to realistic exposure‐based health evidence.
Chandan Kumar Sahu   +2 more
wiley   +1 more source

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

Home - About - Disclaimer - Privacy