Results 121 to 130 of about 52,890 (267)

Enviromics and Abiotic Enviromics: Enhancing Stress Biology and Plant Resilience Breeding

open access: yesAdvanced Science, EarlyView.
Environmental stressors are captured through high‐throughput envirotyping and integrated into an enviromic framework with genomic, transcriptomic, phenomic, and environmental data. AI/ML models enable prediction and guide marker‐assisted selection, genomic selection, genome editing, and gene pyramiding toward improved abiotic stress tolerance, yield ...
Guangchao Sun   +6 more
wiley   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

open access: yesAdvanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou   +6 more
wiley   +1 more source

MOF‐Derived Cu‐TiO2/Alginate Micromotors for Buoyancy‐Regulated 3D Motion

open access: yesAdvanced Science, EarlyView.
In this work, cyanobacteria‐inspired sodium alginate (SA)/Cu‐TiO2/Fe3O4 hydrogel micromotors generate and encapsulate O2 microvesicles upon light irradiation, enabling buoyancy‐mediated Z‐axis upward migration and surface enrichment at the light‐exposed water‐air surface.
Wei Zou   +7 more
wiley   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

open access: yesAdvanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath   +8 more
wiley   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele   +1 more
wiley   +1 more source

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