Results 51 to 60 of about 179,331 (298)

Population genomic structure of the gelatinous zooplankton species Mnemiopsis leidyi in its nonindigenous range in the North Sea [PDF]

open access: yes, 2019
Nonindigenous species pose a major threat for coastal and estuarine ecosystems. Risk management requires genetic information to establish appropriate management units and infer introduction and dispersal routes. We investigated one of the most successful
Derycke, Sofie   +8 more
core   +1 more source

Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum. [PDF]

open access: yes, 2020
The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum
Brown, Patrick J   +8 more
core   +2 more sources

Detection of Hub QTLs Underlying the Genetic Basis of Three Modules Covering Nine Agronomic Traits in an F2 Soybean Population

open access: yesAgronomy, 2022
Deciphering the genetic basis underlying agronomic traits is of importance for soybean improvement. However, covariation, modulated by genetic correlations between complicated traits via hub QTLs, commonly affects the efficiency and accuracy of soybean ...
Mengmeng Fu   +8 more
doaj   +1 more source

Wheat rusts never sleep but neither do sequencers: will pathogenomics transform the way plant diseases are managed? [PDF]

open access: yes, 2015
Field pathogenomics adds highly informative data to surveillance surveys by enabling rapid evaluation of pathogen variability, population structure and host ...
Derevnina, Lida, Michelmore, Richard W
core   +2 more sources

Genome-wide association study in two cohorts from a multi-generational mouse advanced intercross line highlights the difficulty of replication due to study-specific heterogeneity [PDF]

open access: yes, 2020
There has been extensive discussion of the Replication Crisis in many fields, including genome-wide association studies
Cheng, Riyan   +7 more
core   +2 more sources

Using genotyping‐by‐sequencing to predict gender in animals [PDF]

open access: yesAnimal Genetics, 2019
SummaryGender assignment errors are common in some animal species and lead to inaccuracies in downstream analyses. Procedures for detecting gender misassignment are available for array‐based SNP data but are still being developed for genotyping‐by‐sequencing (GBS) data.
T. P. Bilton   +6 more
openaire   +2 more sources

Analysis of Genotyping-by-Sequencing (GBS) Data

open access: yes, 2016
The development of genotyping-by-sequencing (GBS) to rapidly detect nucleotide variation at the whole genome level, in many individuals simultaneously, has provided a transformative genetic profiling technique. GBS can be carried out in species with or without reference genome sequences yields huge amounts of potentially informative data.
Kagale, Sateesh   +5 more
openaire   +4 more sources

Haplotype‐based genotyping‐by‐sequencing in oat genome research [PDF]

open access: yesPlant Biotechnology Journal, 2018
SummaryIn a de novo genotyping‐by‐sequencing (GBS) analysis of short, 64‐base tag‐level haplotypes in 4657 accessions of cultivated oat, we discovered 164741 tag‐level (TL) genetic variants containing 241224 SNPs. From this, the marker density of an oat consensus map was increased by the addition of more than 70000 loci.
Wubishet A. Bekele   +4 more
openaire   +2 more sources

The development of a porcine 50K SNP panel using genotyping by target sequencing and its application

open access: yesJournal of Integrative Agriculture
Genotyping by target sequencing (GBTS) integrates the advantages of silicon-based technology (high stability and reliability) and genotyping by sequencing (high flexibility and cost-effectiveness). However, GBTS panels are not currently available in pigs.
Zipeng Zhang   +9 more
doaj   +1 more source

Concordant geographic and genetic structure revealed by genotyping‐by‐sequencing in a New Zealand marine isopod

open access: yesEcology and Evolution, 2020
Population genetic structure in the marine environment can be influenced by life‐history traits such as developmental mode (biphasic, with distinct adult and larval morphology, and direct development, in which larvae resemble adults) or habitat ...
William S. Pearman   +4 more
doaj   +1 more source

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