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Mario P L Calus

Showing results (91-100 of 118) with videos related to

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Genetics, Selection, Evolution : GSE|October 23, 2025
Incorporating transcriptomic data into genomic prediction models to improve the prediction accuracy of phenotypes of efficiency traitsValentin P Haas, Robin Wellmann, Pascal Duenk, et al.
Genetics|June 30, 2012
Whole-genome regression and prediction methods applied to plant and animal breedingGustavo de Los Campos, John M Hickey, Ricardo Pong-Wong, et al.
Genetics, Selection, Evolution : GSE|March 23, 2010
Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL varianceAlbart Coster, John W M Bastiaansen, Mario P L Calus, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|September 19, 2019
Prediction of nutrient digestibility in grower-finisher pigs based on faecal microbiota compositionLisanne M G Verschuren, Dirkjan Schokker, Rob Bergsma, et al.
Genetics, Selection, Evolution : GSE|June 20, 2026
Determining crossover count and position in two pig lines with different selection historiesOlivia Katz, Anne C M Jansen, Tom Druet, et al.
Genetics, Selection, Evolution : GSE|January 13, 2023
Predicting the impact of genotype-by-genotype interaction on the purebred-crossbred genetic correlation from phenotype and genotype marker data of parental linesPascal Duenk, Yvonne C J Wientjes, Piter Bijma, et al.
G3 (Bethesda, Md.)|December 21, 2019
The Impact of Non-additive Effects on the Genetic Correlation Between PopulationsPascal Duenk, Piter Bijma, Mario P L Calus, et al.
Genetics, Selection, Evolution : GSE|February 9, 2022
Comparison of linkage disequilibrium estimated from genotypes versus haplotypes for crossbred populationsSetegn Worku Alemu, Piter Bijma, Mario P L Calus, et al.
G3 (Bethesda, Md.)|September 26, 2022
Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependenceBruno C Perez, Marco C A M Bink, Karen L Svenson, et al.
G3 (Bethesda, Md.)|February 15, 2022
Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred miceBruno C Perez, Marco C A M Bink, Karen L Svenson, et al.
Pageof 12

Showing results (91-100 of 118) with videos related to

Sort By:
Pageof 12
Genetics, Selection, Evolution : GSE|October 23, 2025
Incorporating transcriptomic data into genomic prediction models to improve the prediction accuracy of phenotypes of efficiency traitsValentin P Haas, Robin Wellmann, Pascal Duenk, et al.
Genetics|June 30, 2012
Whole-genome regression and prediction methods applied to plant and animal breedingGustavo de Los Campos, John M Hickey, Ricardo Pong-Wong, et al.
Genetics, Selection, Evolution : GSE|March 23, 2010
Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL varianceAlbart Coster, John W M Bastiaansen, Mario P L Calus, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|September 19, 2019
Prediction of nutrient digestibility in grower-finisher pigs based on faecal microbiota compositionLisanne M G Verschuren, Dirkjan Schokker, Rob Bergsma, et al.
Genetics, Selection, Evolution : GSE|June 20, 2026
Determining crossover count and position in two pig lines with different selection historiesOlivia Katz, Anne C M Jansen, Tom Druet, et al.
Genetics, Selection, Evolution : GSE|January 13, 2023
Predicting the impact of genotype-by-genotype interaction on the purebred-crossbred genetic correlation from phenotype and genotype marker data of parental linesPascal Duenk, Yvonne C J Wientjes, Piter Bijma, et al.
G3 (Bethesda, Md.)|December 21, 2019
The Impact of Non-additive Effects on the Genetic Correlation Between PopulationsPascal Duenk, Piter Bijma, Mario P L Calus, et al.
Genetics, Selection, Evolution : GSE|February 9, 2022
Comparison of linkage disequilibrium estimated from genotypes versus haplotypes for crossbred populationsSetegn Worku Alemu, Piter Bijma, Mario P L Calus, et al.
G3 (Bethesda, Md.)|September 26, 2022
Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependenceBruno C Perez, Marco C A M Bink, Karen L Svenson, et al.
G3 (Bethesda, Md.)|February 15, 2022
Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred miceBruno C Perez, Marco C A M Bink, Karen L Svenson, et al.
Pageof 12