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Daniela Lourenco

Showing results (21-30 of 102) with videos related to

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Genetics, Selection, Evolution : GSE|August 22, 2024
Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populationsNatália Galoro Leite, Matias Bermann, Shogo Tsuruta, et al.
Genetics, Selection, Evolution : GSE|July 17, 2023
Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation studySungbong Jang, Shogo Tsuruta, Natalia Galoro Leite, et al.
Genetics, Selection, Evolution : GSE|March 8, 2024
Confidence intervals for validation statistics with data truncation in genomic predictionMatias Bermann, Andres Legarra, Alejandra Alvarez Munera, et al.
Genetics, Selection, Evolution : GSE|June 7, 2026
Genetic parameters via predictivity in large populations under strong genomic selectionGopal Gowane, Jorge Hidalgo, Mary Kate Hollifield, et al.
Journal of Animal Science|November 3, 2025
Optimizing the performance of large genomic evaluations through data truncation in Angus cattleZuleica Trujano, Andre Garcia, Kelli Retallick, et al.
JDS Communications|May 4, 2026
Genotyping errors can affect indirect predictions of young selection candidates: A simulation studyAlberto Cesarani, Fernando Bussiman, Jorge Hidalgo, et al.
Journal of Animal Science|March 16, 2026
Using predictivity to estimate heritabilities and genetic correlations over time for growth traits in a large genotyped Angus cattle populationZuleica Trujano, Jorge Hidalgo, Andre Garcia, et al.
Genetics, Selection, Evolution : GSE|February 9, 2023
Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testingAndre Garcia, Shogo Tsuruta, Guangtu Gao, et al.
Genes|July 18, 2020
Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90Daniela Lourenco, Andres Legarra, Shogo Tsuruta, et al.
BMC Genetics|October 23, 2019
Modeling honey yield, defensive and swarming behaviors of Italian honey bees (Apis mellifera ligustica) using linear-threshold approachesSreten Andonov, Cecilia Costa, Aleksandar Uzunov, et al.
Pageof 11

Showing results (21-30 of 102) with videos related to

Sort By:
Pageof 11
Genetics, Selection, Evolution : GSE|August 22, 2024
Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populationsNatália Galoro Leite, Matias Bermann, Shogo Tsuruta, et al.
Genetics, Selection, Evolution : GSE|July 17, 2023
Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation studySungbong Jang, Shogo Tsuruta, Natalia Galoro Leite, et al.
Genetics, Selection, Evolution : GSE|March 8, 2024
Confidence intervals for validation statistics with data truncation in genomic predictionMatias Bermann, Andres Legarra, Alejandra Alvarez Munera, et al.
Genetics, Selection, Evolution : GSE|June 7, 2026
Genetic parameters via predictivity in large populations under strong genomic selectionGopal Gowane, Jorge Hidalgo, Mary Kate Hollifield, et al.
Journal of Animal Science|November 3, 2025
Optimizing the performance of large genomic evaluations through data truncation in Angus cattleZuleica Trujano, Andre Garcia, Kelli Retallick, et al.
JDS Communications|May 4, 2026
Genotyping errors can affect indirect predictions of young selection candidates: A simulation studyAlberto Cesarani, Fernando Bussiman, Jorge Hidalgo, et al.
Journal of Animal Science|March 16, 2026
Using predictivity to estimate heritabilities and genetic correlations over time for growth traits in a large genotyped Angus cattle populationZuleica Trujano, Jorge Hidalgo, Andre Garcia, et al.
Genetics, Selection, Evolution : GSE|February 9, 2023
Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testingAndre Garcia, Shogo Tsuruta, Guangtu Gao, et al.
Genes|July 18, 2020
Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90Daniela Lourenco, Andres Legarra, Shogo Tsuruta, et al.
BMC Genetics|October 23, 2019
Modeling honey yield, defensive and swarming behaviors of Italian honey bees (Apis mellifera ligustica) using linear-threshold approachesSreten Andonov, Cecilia Costa, Aleksandar Uzunov, et al.
Pageof 11