Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Tusell, L.
Pérez‐Rodríguez, P.
Forni, S.
and
Gianola, D.
2014.
Model averaging for genome‐enabled prediction with reproducing kernel Hilbert spaces: a case study with pig litter size and wheat yield.
Journal of Animal Breeding and Genetics,
Vol. 131,
Issue. 2,
p.
105.
González-Recio, Oscar
Rosa, Guilherme J.M.
and
Gianola, Daniel
2014.
Machine learning methods and predictive ability metrics for genome-wide prediction of complex traits.
Livestock Science,
Vol. 166,
Issue. ,
p.
217.
Morota, Gota
and
Gianola, Daniel
2014.
Kernel-based whole-genome prediction of complex traits: a review.
Frontiers in Genetics,
Vol. 5,
Issue. ,
Ehret, Anita
Hochstuhl, David
Gianola, Daniel
and
Thaller, Georg
2015.
Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.
Genetics Selection Evolution,
Vol. 47,
Issue. 1,
Guo, X.
Christensen, O. F.
Ostersen, T.
Wang, Y.
Lund, M. S.
and
Su, G.
2015.
Improving genetic evaluation of litter size and piglet mortality for both genotyped and nongenotyped individuals using a single-step method1.
Journal of Animal Science,
Vol. 93,
Issue. 2,
p.
503.
Gianola, Daniel
and
Rosa, Guilherme J.M.
2015.
One Hundred Years of Statistical Developments in Animal Breeding.
Annual Review of Animal Biosciences,
Vol. 3,
Issue. 1,
p.
19.
Ehret, A.
Hochstuhl, D.
Krattenmacher, N.
Tetens, J.
Klein, M.S.
Gronwald, W.
and
Thaller, G.
2015.
Short communication: Use of genomic and metabolic information as well as milk performance records for prediction of subclinical ketosis risk via artificial neural networks.
Journal of Dairy Science,
Vol. 98,
Issue. 1,
p.
322.
Hidalgo, André M
Bastiaansen, John W M
Lopes, Marcos S
Harlizius, Barbara
Groenen, Martien A M
and
de Koning, Dirk-Jan
2015.
Accuracy of Predicted Genomic Breeding Values in Purebred and Crossbred Pigs.
G3 Genes|Genomes|Genetics,
Vol. 5,
Issue. 8,
p.
1575.
Tusell, Llibertat
Gilbert, Hélène
Riquet, Juliette
Mercat, Marie-José
Legarra, Andres
and
Larzul, Catherine
2016.
Pedigree and genomic evaluation of pigs using a terminal-cross model.
Genetics Selection Evolution,
Vol. 48,
Issue. 1,
Gertz, M.
Edel, C.
Ruß, I.
Dodenhoff, J.
Götz, K.-U.
and
Thaller, G.
2016.
Genomic selection in the German Landrace population of the Bavarian herdbook1.
Journal of Animal Science,
Vol. 94,
Issue. 11,
p.
4549.
Samorè, Antonia Bianca
and
Fontanesi, Luca
2016.
Genomic selection in pigs: state of the art and perspectives.
Italian Journal of Animal Science,
Vol. 15,
Issue. 2,
p.
211.
Manfredi, E.
Tusell, L.
and
Vitezica, Z.G.
2017.
Prediction of complex traits: Conciliating genetics and statistics.
Journal of Animal Breeding and Genetics,
Vol. 134,
Issue. 3,
p.
178.
Gezan, Salvador A
Osorio, Luis F
Verma, Sujeet
and
Whitaker, Vance M
2017.
An experimental validation of genomic selection in octoploid strawberry.
Horticulture Research,
Vol. 4,
Issue. 1,
Putz, A.M.
Tiezzi, F.
Maltecca, C.
Gray, K.A.
and
Knauer, M.T.
2018.
A comparison of accuracy validation methods for genomic and pedigree‐based predictions of swine litter size traits using Large White and simulated data.
Journal of Animal Breeding and Genetics,
Vol. 135,
Issue. 1,
p.
5.
Ødegård, Jørgen
Indahl, Ulf
Strandén, Ismo
and
Meuwissen, Theo H. E.
2018.
Large-scale genomic prediction using singular value decomposition of the genotype matrix.
Genetics Selection Evolution,
Vol. 50,
Issue. 1,
COUTINHO, ALISSON ESDRAS
NEDER, DIOGO GONÇALVES
SILVA, MAIRYKON COÊLHO DA
ARCELINO, ELIANE CRISTINA
BRITO, SILVAN GOMES DE
and
CARVALHO FILHO, JOSÉ LUIZ SANDES DE
2018.
PREDICTION OF PHENOTYPIC AND GENOTYPIC VALUES BY BLUP/GWS AND NEURAL NETWORKS.
Revista Caatinga,
Vol. 31,
Issue. 3,
p.
532.
Cao, Min
Cai, Boqin
Ma, Shangjing
Lü, Guonian
and
Chen, Min
2019.
Analysis of the Cycling Flow Between Origin and Destination for Dockless Shared Bicycles Based on Singular Value Decomposition.
ISPRS International Journal of Geo-Information,
Vol. 8,
Issue. 12,
p.
573.
Sinecen, Mahmut
2019.
Comparison of Genomic Best Linear Unbiased Prediction and Bayesian Regularization Neural Networks for Genomic Selection.
IEEE Access,
Vol. 7,
Issue. ,
p.
79199.
Peters, Sunday O.
Sinecen, Mahmut
Kizilkaya, Kadir
and
Thomas, Milton G.
2020.
Genomic Prediction With Different Heritability, QTL, and SNP Panel Scenarios Using Artificial Neural Network.
IEEE Access,
Vol. 8,
Issue. ,
p.
147995.
Alves, A. A. C.
Espigolan, R.
Bresolin, T.
Costa, R. M.
Fernandes Júnior, G. A.
Ventura, R. V.
Carvalheiro, R.
and
Albuquerque, L. G.
2021.
Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods.
Animal Genetics,
Vol. 52,
Issue. 1,
p.
32.