Results 51 to 60 of about 2,457,508 (205)

Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing

open access: yesPlant Methods, 2023
Highlights The effects of canopy height, leaf area index, and growth stage on the accurate monitoring of canopy height with different 3D sensors were systematically evaluated. Field-measured canopy height may not be as accurate as believed, especially in
Jingrong Zang   +9 more
doaj   +1 more source

Precision Mapping of Retinal Disease: Identification of Differential Progression Trajectories via Imaging Phenomics

open access: yesiMetaMed, EarlyView.
Applying single‐cell RNA‐seq techniques to large‐scale clinical phenotypic data enables the discovery of differential disease progression trajectories and the construction of data‐driven progression scores. These can then be integrated into precision medicine studies to investigate the drivers of patient‐specific disease outcomes. ABSTRACT We propose a
Christian Anderson   +11 more
wiley   +1 more source

Whole-plant phenomics

open access: yes, 2014
Over the last decade, biological sciences have been revolutionised by the adoption of high-throughput omics technologies, and many of the discoveries that have underpinned this revolution have now been adopted for use in plant phenotyping.
Crowe, M.   +8 more
core   +1 more source

NETosis in the Kidney, Liver, and Lung of Mice With Cecal Ligation and Puncture‐Induced Sepsis and the Ameliorating Effects of Adipose‐Derived Stem Cell Exosomes

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Sepsis‐induced organ failure involves dysregulated neutrophil responses, including neutrophil extracellular trap (NET) formation, via NETosis. Exosomes generated from adipose‐derived stem cells (ADSCs) have shown potential in sepsis treatment. This study characterized organ‐specific NETosis in the kidney, liver, and lungs using a murine cecal ...
Shao‐Chun Wu   +5 more
wiley   +1 more source

Evaluation of an intelligent artificial climate chamber for high-throughput crop phenotyping in wheat

open access: yesPlant Methods, 2022
Background The superposition of COVID-19 and climate change has brought great challenges to global food security. As a major economic crop in the world, studying its phenotype to cultivate high-quality wheat varieties is an important way to increase ...
Anhua Ren   +6 more
doaj   +1 more source

Breeding for multi‐stress resilience in crops: Myth or possibility?

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Climate change threatens millions of farmers worldwide by exposing crops to multiple concurrent or sequential environmental stresses such as drought, heat, waterlogging, and diseases. Although crops have long been selected under naturally occurring multi‐stress conditions, breeding pipelines largely focus on optimal or single‐stress environments ...
Hamid Khazaei   +2 more
wiley   +1 more source

A Hex-View Perspective on Plant Disease Detection Using Remote Sensing

open access: yesRemote Sensing
Plant diseases lead to substantial yield losses and pose a persistent threat to global food security, creating an urgent demand for high-throughput, accurate, scalable, and non-destructive disease-monitoring approaches.
Huajian Liu   +4 more
doaj   +1 more source

A national crop wild relative checklist for Zimbabwe reveals edible crop wild relative diversity of regional and global importance

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Crop wild relatives (CWR) in Zimbabwe are reservoirs of beneficial agronomic traits, yet they remain under‐documented and poorly conserved. This study developed Zimbabwe's first national CWR checklist based on a conceptual framework combining floristic, ecological and ethnobotanical data, revealing over 2700 taxa, with nearly 1000 edible species ...
Kudakwashe Mutasa   +3 more
wiley   +1 more source

Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population

open access: yesFrontiers in Plant Science, 2018
In crop genetic studies, the mapping of longitudinal data describing the spatio-temporal nature of agronomic traits can elucidate the factors influencing their formation and development.
Anyela V. Camargo   +8 more
doaj   +1 more source

Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach

open access: yesPlant Phenomics, 2023
The green fraction (GF), which is the fraction of green vegetation in a given viewing direction, is closely related to the light interception ability of the crop canopy.
Yangmingrui Gao   +8 more
doaj   +1 more source

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