Journal of Animal Breeding and Genetics

Special Issue: Quantitative and statistical genetics—papers in honour of Daniel Gianola
pp. 173-174(2)
Authors: Simianer, H.; Rosa, G. J. M.; Mäki‐Tanila, A.

Daniel Gianola's contributions to animal breeding and quantitative genetics, a vuelo de pájaro
pp. 175-177(3)
Authors: Sorensen, D.; Campos, G.

Prediction of complex traits: Conciliating genetics and statistics
pp. 178-183(6)
Authors: Manfredi, E.; Tusell, L.; Vitezica, Z.G.

Pedigree‐based estimation of covariance between dominance deviations and additive genetic effects in closed rabbit lines considering inbreeding and using a computationally simpler equivalent model
pp. 184-195(12)
Authors: Fernández, E.N.; Legarra, A.; Martínez, R.; Sánchez, J.P.; Baselga, M.

“Conversion” of epistatic into additive genetic variance in finite populations and possible impact on long‐term selection response
pp. 196-201(6)
Author: Hill, W.G.

Modelling female fertility traits in beef cattle using linear and non‐linear models
pp. 202-212(11)
Authors: Naya, H.; Peñagaricano, F.; Urioste, J.I.

A comparison of identity‐by‐descent and identity‐by‐state matrices that are used for genetic evaluation and estimation of variance components
pp. 213-223(11)
Authors: Fernando, R. L.; Cheng, H.; Sun, X.; Garrick, D. J.

Beyond genomic selection: The animal model strikes back (one generation)!
pp. 224-231(8)
Authors: Cantet, R.J.C.; García‐Baccino, C.A.; Rogberg‐Muñoz, A.; Forneris, N.S.; Munilla, S.

Genomic variance estimates: With or without disequilibrium covariances?
pp. 232-241(10)
Authors: Lehermeier, C.; Campos, G.; Wimmer, V.; Schön, C.‐C.

Accuracy of genomic breeding values revisited: Assessment of two established approaches and a novel one to determine the accuracy in two‐step genomic prediction
pp. 242-255(14)
Authors: Ni, G.; Kipp, S.; Simianer, H.; Erbe, M.

Accuracy of genomic within‐family selection in aquaculture breeding programmes
pp. 256-263(8)
Authors: Toro, M.A.; Saura, M.; Fernandez, J.; Villanueva, B.

Solving efficiently large single‐step genomic best linear unbiased prediction models
pp. 264-274(11)
Authors: Strandén, I.; Matilainen, K.; Aamand, G.P.; Mäntysaari, E.A.

Prediction of whole‐genome risk for selection and management of hyperketonemia in Holstein dairy cattle
pp. 275-285(11)
Authors: Weigel, K.A.; Pralle, R. S.; Adams, H.; Cho, K.; Do, C.; White, H.M.