Cargando…

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90

Single-step genomic evaluation became a standard procedure in livestock breeding, and the main reason is the ability to combine all pedigree, phenotypes, and genotypes available into one single evaluation, without the need of post-analysis processing. Therefore, the incorporation of data on genotype...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lourenco, Daniela, Legarra, Andres, Tsuruta, Shogo, Masuda, Yutaka, Aguilar, Ignacio, Misztal, Ignacy
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397237/ https://www.ncbi.nlm.nih.gov/pubmed/32674271 http://dx.doi.org/10.3390/genes11070790

Ejemplares similares

Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP
por: Garcia, Andre, et al.
Publicado: (2022)

Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP
por: Garcia, Andre, et al.
Publicado: (2023)

Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle
por: Aguilar, Ignacio, et al.
Publicado: (2019)

Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS
por: Zhang, Xinyue, et al.
Publicado: (2016)

Erratum to: Incorporation of causative quantitative trait nucleotides in single-step GBLUP
por: Fragomeni, Breno O., et al.
Publicado: (2017)

Validation of single‐step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality
por: Bermann, Matias, et al.
Publicado: (2020)

Incorporation of causative quantitative trait nucleotides in single-step GBLUP
por: Fragomeni, Breno O., et al.
Publicado: (2017)

Reliabilities of estimated breeding values in models with metafounders
por: Bermann, Matias, et al.
Publicado: (2023)

Core-dependent changes in genomic predictions using the Algorithm for Proven and Young in single-step genomic best linear unbiased prediction
por: Misztal, Ignacy, et al.
Publicado: (2020)

Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken
por: Lourenco, Daniela A. L., et al.
Publicado: (2015)

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction
por: Pocrnic, Ivan, et al.
Publicado: (2016)

Implication of the order of blending and tuning when computing the genomic relationship matrix in single‐step GBLUP
por: McWhorter, Taylor M., et al.
Publicado: (2022)

Current status of genomic evaluation
por: Misztal, Ignacy, et al.
Publicado: (2020)

Indirect predictions with a large number of genotyped animals using the algorithm for proven and young
por: Garcia, Andre L S, et al.
Publicado: (2020)

Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example
por: Abdollahi-Arpanahi, Rostam, et al.
Publicado: (2021)

Changes in genetic parameters for fitness and growth traits in pigs under genomic selection
por: Hidalgo, Jorge, et al.
Publicado: (2020)

Investigating the persistence of accuracy of genomic predictions over time in broilers
por: Hidalgo, Jorge, et al.
Publicado: (2021)

Changes in genomic predictions when new information is added
por: Hidalgo, Jorge, et al.
Publicado: (2021)

On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young
por: Bermann, Matias, et al.
Publicado: (2022)

Changes in variance explained by top SNP windows over generations for three traits in broiler chicken
por: Fragomeni, Breno de Oliveira, et al.
Publicado: (2014)

Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study
por: Jang, Sungbong, et al.
Publicado: (2023)

Derivation of indirect predictions using genomic recursions across generations in a broiler population
por: Hidalgo, Jorge, et al.
Publicado: (2023)

Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information
por: Forni, Selma, et al.
Publicado: (2011)

Impact of including the cause of missing records on genetic evaluations for growth in commercial pigs
por: Hollifield, Mary Kate, et al.
Publicado: (2021)

Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young
por: Bermann, Matias, et al.
Publicado: (2021)

Dimensionality of genomic information and performance of the Algorithm for Proven and Young for different livestock species
por: Pocrnic, Ivan, et al.
Publicado: (2016)

Accuracy of genomic BLUP when considering a genomic relationship matrix based on the number of the largest eigenvalues: a simulation study
por: Pocrnic, Ivan, et al.
Publicado: (2019)

A comprehensive study on size and definition of the core group in the proven and young algorithm for single-step GBLUP
por: Abdollahi-Arpanahi, Rostam, et al.
Publicado: (2022)

Boundaries for genotype, phenotype, and pedigree truncation in genomic evaluations in pigs
por: Bussiman, Fernando, et al.
Publicado: (2023)

Efficient ways to combine data from broiler and layer chickens to account for sequential genomic selection
por: Hidalgo, Jorge, et al.
Publicado: (2023)

Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens
por: Wang, Huiyu, et al.
Publicado: (2014)

Development of genomic predictions for harvest and carcass weight in channel catfish
por: Garcia, Andre L. S., et al.
Publicado: (2018)

Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?
por: Junqueira, Vinícius Silva, et al.
Publicado: (2022)

Detecting effective starting point of genomic selection by divergent trends from best linear unbiased prediction and single-step genomic best linear unbiased prediction in pigs, beef cattle, and broilers
por: Abdollahi-Arpanahi, Rostam, et al.
Publicado: (2021)

Metafounders are related to F(st) fixation indices and reduce bias in single-step genomic evaluations
por: Garcia-Baccino, Carolina A., et al.
Publicado: (2017)

Modeling genetic differences of combined broiler chicken populations in single-step GBLUP
por: Bermann, Matias, et al.
Publicado: (2021)

Emerging issues in genomic selection
por: Misztal, Ignacy, et al.
Publicado: (2021)

Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data
por: Pocrnic, Ivan, et al.
Publicado: (2019)

Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs
por: Vitezica, Zulma G., et al.
Publicado: (2016)

Validation of single-step genomic predictions using the linear regression method for milk yield and heat tolerance in a Thai-Holstein population
por: Sungkhapreecha, Piriyaporn, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_fp9v15vgoecsg47q93n4co7ndb