Results 121 to 130 of about 18,717 (242)

Growing Australian Rice in Non‐Flooded Soil Increases Water Use Efficiency and Mycorrhizal Colonisation, but Reduces Grain Micronutrient Concentrations

open access: yesJournal of Sustainable Agriculture and Environment, Volume 5, Issue 2, June 2026.
ABSTRACT Climate change is driving a global shift from flooded (anaerobic) to dryland/rainfed (aerobic) rice production. While aerobic systems reduce water use and methane emissions, they can exacerbate soil zinc (Zn) and iron (Fe) deficiencies due to altered redox conditions.
Thi Diem Nguyen   +5 more
wiley   +1 more source

Photothermal Integration of Multi-Spectral Imaging Data via UAS Improves Prediction of Target Traits in Oat Breeding Trials

open access: yesAgronomy
The modelling and prediction of important agronomic traits using remotely sensed data is an evolving science and an attractive concept for plant breeders, as manual crop phenotyping is both expensive and time consuming. Major limiting factors in creating
David Evershed   +7 more
doaj   +1 more source

Genome association of carbohydrate metabolites provides new insights toward functional breeding in coffee

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Coffee is one of the world's most widely consumed beverages, derived mainly from Coffea arabica, known for its superior flavor, and Coffea canephora (Robusta/Conilon), valued for its resilience and higher caffeine content. Functional breeding aims to develop cultivars that combine productivity and stress tolerance with improved health‐related ...
Estefania Tavares Flores   +9 more
wiley   +1 more source

Finding Our Way through Phenotypes [PDF]

open access: yes, 2015
Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing ...
Anzaldo, Salvatore S.   +15 more
core  

Transcriptome assemblies for two drug‐type cannabis chemotypes by long‐read RNA sequencing

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Cannabis sativa has undergone over 10,000 years of domestication, resulting in extensive genetic and phenotypic diversity among cultivated chemotypes. Increased medical and recreational use of specialized metabolites accumulating in cannabis glandular trichomes—primarily the cannabinoids ∆9‐tetrahydrocannabinol (THC) and cannabidiol (CBD)—has ...
Oliver Berkowitz   +5 more
wiley   +1 more source

Functional Data Strengthen Clinical Validation of PhenoScore Phenotype‐Guided AI for ANKRD11 Missense Variants

open access: yesClinical Genetics, Volume 109, Issue 6, Page 1038-1048, June 2026.
PhenoScore, an AI framework integrating facial recognition and clinical phenotype data, accurately identifies pathogenic ANKRD11 missense variants associated with KBG syndrome (AUC 0.95). Validated against functional data, PhenoScore outperforms REVEL and complements AlphaMissense, providing objective phenotypic evidence to reduce variants of uncertain
Evi Andriessen   +5 more
wiley   +1 more source

TEAD1 Enhances Exosome Secretion and Promotes Exosome‐Mediated Tissue Regeneration

open access: yesAdvanced Science, Volume 13, Issue 25, 4 May 2026.
TEAD1 functions as a crucial molecular switch regulating exosome secretion in various cell types. TEAD1 enhances exosome secretion by upregulating key proteins associated with exosome secretion, including RAB11, CD9, and SNAP23. This study reveals a novel role for TEAD1 in regulating exosome secretion and tissue regeneration, particularly in diabetic ...
Yan Pu   +9 more
wiley   +1 more source

Spatiotemporal dynamics of benzylisoquinoline alkaloid gene expression and co-expression networks during Papaver Somniferum developmental stages

open access: yesScientific Reports
Benzylisoquinoline alkaloids (BIAs) are essential secondary metabolites produced by Papaver somniferum, widely recognized for their pharmaceutical importance.
Zishi Wang   +13 more
doaj   +1 more source

Genomics, phenomics, and machine learning in transforming plant research: Advancements and challenges

open access: yesHorticultural Plant Journal
Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.
Sheikh Mansoor   +3 more
doaj   +1 more source

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