Results 81 to 90 of about 18,344 (208)

A High‐Throughput Phenotyping Pipeline for Quinoa (Chenopodium quinoa) Panicles Using Image Analysis With Convolutional Neural Networks

open access: yesPlant Breeding, EarlyView.
ABSTRACT Quinoa is a grain crop with excellent nutritional properties that has attracted global attention for its potential contribution to future food security in a changing climate. Despite its long history of cultivation, quinoa has been improved little by modern breeding and is a niche crop outside its native cultivation area.
Flavio Lozano‐Isla   +3 more
wiley   +1 more source

A high-throughput and open-source platform for embryo phenomics.

open access: yesPLoS Biology, 2018
Phenomics has the potential to facilitate significant advances in biology but requires the development of high-throughput technologies capable of generating and analysing high-dimensional data.
Oliver Tills   +6 more
doaj   +1 more source

Screening for Fall Armyworm (Spodoptera frugiperda J. E. Smith) Resistance in Early‐Maturing Tropical Maize Adapted to Sub‐Saharan Africa

open access: yesPlant Breeding, EarlyView.
ABSTRACT Fall armyworm (FAW) (Spodoptera frugiperda J. E. Smith) has emerged as a serious pest since 2016 in Africa, affecting the food security and livelihoods of millions of smallholder farmers, especially those growing maize. Native genetic resistance to FAW is essential for reducing yield loss.
Adamu Masari Abubakar   +6 more
wiley   +1 more source

Traditional Chinese medicine phenomics research on glycolipid metabolism disorder: a review

open access: yesDigital Chinese Medicine
Traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder.
Xinyi Fang   +6 more
doaj   +1 more source

Utilizing Multivariate Genomic Prediction to Predict Wheat Spike Characteristics in Soft Red Winter Wheat (Triticum aestivum L.)

open access: yesPlant Breeding, EarlyView.
ABSTRACT Genomic prediction (GP) can increase genetic gain by allowing for the selection of traits earlier in the breeding cycle. Spike morphology traits are of interest because of their relationship with grain yield. To better understand the prediction capabilities of agronomic traits and spike architecture traits, a population of 594 soft red winter ...
Mik Hammers   +5 more
wiley   +1 more source

Detecting spikes of wheat plants using neural networks with Laws texture energy

open access: yesPlant Methods, 2017
Background The spike of a cereal plant is the grain-bearing organ whose physical characteristics are proxy measures of grain yield. The ability to detect and characterise spikes from 2D images of cereal plants, such as wheat, therefore provides vital ...
Li Qiongyan   +4 more
doaj   +1 more source

Why does human phenomics matter today?

open access: yesLearning Health Systems, 2020
Human phenomics responds to an urgent need in the medical research community; namely, reproducibility.
Vasa Curcin
doaj   +1 more source

Microbial high throughput phenomics: The potential of an irreplaceable omics

open access: yesComputational and Structural Biotechnology Journal, 2020
The phenotype-genotype landscape is a projection coming from detailed phenotypic and genotypic data under environmental pressure. Although phenome of microbes or microbial consortia mirrors the functional expression of a genome or set of genomes ...
Marta Acin-Albiac   +3 more
doaj   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin   +3 more
wiley   +1 more source

Flexible scientific data management for plant phenomics research [PDF]

open access: yes, 2013
In this paper, we expand on the design and implementation of the Phenomics Ontology Driven Data repository [1] (PODD) with respect to the capture, storage and retrieval of data and metadata gen- erated at the High Resolution Plant Phenomics Centre ...
Ansell, Peter   +6 more
core   +1 more source

Home - About - Disclaimer - Privacy