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1
Using egg production longitudinal recording to study the genetic background of resilience in purebred and crossbred laying hens
Using egg production longitudinal recording to study the genetic background of resilience in purebred and crossbred laying hens
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Using egg production longitudinal recording to study the genetic background of resilience in purebred and crossbred laying hens

Bedere, Nicolas ; Berghof, Tom V L ; Peeters, Katrijn ; Pinard-van der Laan, Marie-Hélène ; Visscher, Jeroen ; David, Ingrid ; Mulder, Han A

Genetics selection evolution (Paris), 2022-04, Vol.54 (1), p.26-26, Article 26 [Periódico revisado por pares]

France: BioMed Central Ltd

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2
Genomic prediction of piglet response to infection with one of two porcine reproductive and respiratory syndrome virus isolates
Genomic prediction of piglet response to infection with one of two porcine reproductive and respiratory syndrome virus isolates
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Genomic prediction of piglet response to infection with one of two porcine reproductive and respiratory syndrome virus isolates

Waide, Emily H ; Tuggle, Christopher K ; Serão, Nick V L ; Schroyen, Martine ; Hess, Andrew ; Rowland, Raymond R R ; Lunney, Joan K ; Plastow, Graham ; Dekkers, Jack C M

Genetics selection evolution (Paris), 2018-02, Vol.50 (1), p.3-3, Article 3 [Periódico revisado por pares]

France: BioMed Central Ltd

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3
Genomic diversity and population structure of the indigenous Greek and Cypriot cattle populations
Genomic diversity and population structure of the indigenous Greek and Cypriot cattle populations
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Genomic diversity and population structure of the indigenous Greek and Cypriot cattle populations

Papachristou, Dimitris ; Koutsouli, Panagiota ; Laliotis, George P ; Kunz, Elisabeth ; Upadhyay, Maulik ; Seichter, Doris ; Russ, Ingolf ; Gjoko, Bunevski ; Kostaras, Nikolaos ; Bizelis, Iosif ; Medugorac, Ivica

Genetics selection evolution (Paris), 2020-07, Vol.52 (1), p.43-43, Article 43 [Periódico revisado por pares]

France: BioMed Central Ltd

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4
Inferring causal phenotype networks using structural equation models
Inferring causal phenotype networks using structural equation models
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Inferring causal phenotype networks using structural equation models

Rosa, Guilherme J M ; Valente, Bruno D ; de los Campos, Gustavo ; Wu, Xiao-Lin ; Gianola, Daniel ; Silva, Martinho A

Genetics selection evolution (Paris), 2011-02, Vol.43 (1), p.6-6, Article 6 [Periódico revisado por pares]

France: BioMed Central Ltd

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5
Simulating a base population in honey bee for molecular genetic studies
Simulating a base population in honey bee for molecular genetic studies
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Simulating a base population in honey bee for molecular genetic studies

Gupta, Pooja ; Conrad, Tim ; Spötter, Andreas ; Reinsch, Norbert ; Bienefeld, Kaspar

Genetics selection evolution (Paris), 2012-06, Vol.44 (1), p.14-14, Article 14 [Periódico revisado por pares]

France: Springer-Verlag

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6
A method to optimize selection on multiple identified quantitative trait loci
A method to optimize selection on multiple identified quantitative trait loci
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A method to optimize selection on multiple identified quantitative trait loci

Chakraborty, R. ((Iowa State University Ames (Etats Unis). Department of Animal Science)) ; Moreau, L ; Dekkers, J.C.M

Genetics selection evolution (Paris), 2002-03, Vol.34 (2), p.145-170, Article 145 [Periódico revisado por pares]

Les Ulis: EDP Sciences

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