| Year |
Citation |
Score |
| 2023 |
Alves AAC, Fernandes AFA, Lopes FB, Breen V, Hawken R, Gianola D, de Magalhães Rosa GJ. (Quasi) Multi-task support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers. G3 (Bethesda, Md.). PMID 37216670 DOI: 10.1093/g3journal/jkad109 |
0.411 |
|
| 2022 |
Gianola D, Fernando RL, Schön CC. Inference about quantitative traits under selection: a Bayesian revisitation for the post-genomic era. Genetics, Selection, Evolution : Gse. 54: 78. PMID 36460973 DOI: 10.1186/s12711-022-00765-z |
0.4 |
|
| 2021 |
Momen M, Kranis A, Rosa GJM, Muir P, Gianola D. Predictive assessment of single-step BLUP with linear and non-linear similarity RKHS kernels: A case study in chickens. Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie. PMID 34931377 DOI: 10.1111/jbg.12665 |
0.347 |
|
| 2021 |
Auinger HJ, Lehermeier C, Gianola D, Mayer M, Melchinger AE, da Silva S, Knaak C, Ouzunova M, Schön CC. Calibration and validation of predicted genomic breeding values in an advanced cycle maize population. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 34117908 DOI: 10.1007/s00122-021-03880-5 |
0.353 |
|
| 2021 |
Piles M, Bergsma R, Gianola D, Gilbert H, Tusell L. Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning. Frontiers in Genetics. 12: 611506. PMID 33692825 DOI: 10.3389/fgene.2021.611506 |
0.328 |
|
| 2020 |
Tusell L, Bergsma R, Gilbert H, Gianola D, Piles M. Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms. Frontiers in Genetics. 11: 567818. PMID 33391339 DOI: 10.3389/fgene.2020.567818 |
0.312 |
|
| 2020 |
He J, Wu XL, Zeng Q, Li H, Ma H, Jiang J, Rosa GJM, Gianola D, Tait RG, Bauck S. Genomic mating as sustainable breeding for Chinese indigenous Ningxiang pigs. Plos One. 15: e0236629. PMID 32797113 DOI: 10.1371/Journal.Pone.0236629 |
0.473 |
|
| 2020 |
Pegolo S, Momen M, Morota G, Rosa GJM, Gianola D, Bittante G, Cecchinato A. Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle. Scientific Reports. 10: 7751. PMID 32385377 DOI: 10.1038/S41598-020-64575-3 |
0.701 |
|
| 2020 |
Li Z, Wu XL, Guo W, He J, Li H, Rosa GJM, Gianola D, Tait RG, Parham J, Genho J, Schultz T, Bauck S. Estimation of genomic breed composition of individual animals in composite beef cattle. Animal Genetics. PMID 32239777 DOI: 10.1111/Age.12928 |
0.428 |
|
| 2020 |
Amiri Roudbar M, Mohammadabadi MR, Ayatollahi Mehrgardi A, Abdollahi-Arpanahi R, Momen M, Morota G, Brito Lopes F, Gianola D, Rosa GJM. Integration of single nucleotide variants and whole-genome DNA methylation profiles for classification of rheumatoid arthritis cases from controls. Heredity. PMID 32127659 DOI: 10.1038/S41437-020-0301-4 |
0.704 |
|
| 2020 |
Abdollahi-Arpanahi R, Gianola D, Peñagaricano F. Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes. Genetics, Selection, Evolution : Gse. 52: 12. PMID 32093611 DOI: 10.1186/S12711-020-00531-Z |
0.352 |
|
| 2019 |
Crossa J, Martini JWR, Gianola D, Pérez-Rodríguez P, Jarquin D, Juliana P, Montesinos-López O, Cuevas J. Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials. Frontiers in Genetics. 10: 1168. PMID 31921277 DOI: 10.3389/Fgene.2019.01168 |
0.387 |
|
| 2019 |
Gianola D, Fernando RL. A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits. Genetics. PMID 31879318 DOI: 10.1534/Genetics.119.302934 |
0.503 |
|
| 2019 |
Gianola D, Fernando RL, Schön CC. Inferring trait-specific similarity among individuals from molecular markers and phenotypes with Bayesian regression. Theoretical Population Biology. PMID 31830483 DOI: 10.1016/J.Tpb.2019.11.008 |
0.532 |
|
| 2019 |
Howard R, Gianola D, Montesinos-López O, Juliana P, Singh R, Poland J, Shrestha S, Pérez-Rodríguez P, Crossa J, Jarquín D. Joint Use of Genome, Pedigree and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments. G3 (Bethesda, Md.). PMID 31300481 DOI: 10.1534/G3.119.400508 |
0.488 |
|
| 2019 |
Montesinos-López OA, Martín-Vallejo J, Crossa J, Gianola D, Hernández-Suárez CM, Montesinos-López A, Juliana P, Singh R. New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes. G3 (Bethesda, Md.). PMID 30858235 DOI: 10.1534/G3.119.300585 |
0.501 |
|
| 2019 |
Montesinos-López A, Montesinos-López OA, Villa-Diharce ER, Gianola D, Crossa J. A robust Bayesian genome-based median regression model. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 30747261 DOI: 10.1007/S00122-019-03303-6 |
0.481 |
|
| 2019 |
Gianola D, Fernando RL, Garrick DJ. A certain invariance property of BLUE in a whole-genome regression context. Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie. PMID 30614572 DOI: 10.1111/Jbg.12378 |
0.442 |
|
| 2018 |
Montesinos-López OA, Martín-Vallejo J, Crossa J, Gianola D, Hernández-Suárez CM, Montesinos-López A, Juliana P, Singh R. A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding. G3 (Bethesda, Md.). PMID 30593512 DOI: 10.1534/G3.118.200998 |
0.442 |
|
| 2018 |
Momen M, Ayatollahi Mehrgardi A, Amiri Roudbar M, Kranis A, Mercuri Pinto R, Valente BD, Morota G, Rosa GJM, Gianola D. Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models. Frontiers in Genetics. 9: 455. PMID 30356716 DOI: 10.3389/Fgene.2018.00455 |
0.708 |
|
| 2018 |
Montesinos-Lopez OA, Montesinos-López A, Crossa J, Gianola D, Hernández-Suárez CM, Martín-Vallejo J. Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits. G3 (Bethesda, Md.). PMID 30291108 DOI: 10.1534/G3.118.200728 |
0.49 |
|
| 2018 |
Montesinos-López A, Montesinos-López OA, Gianola D, Crossa J, Hernández-Suárez CM. Multi-environment Genomic Prediction of Plant Traits Using Deep Learners with Dense Architecture. G3 (Bethesda, Md.). PMID 30291107 DOI: 10.1534/G3.118.200740 |
0.424 |
|
| 2018 |
Momen M, Mehrgardi AA, Sheikhi A, Kranis A, Tusell L, Morota G, Rosa GJM, Gianola D. Predictive ability of genome-assisted statistical models under various forms of gene action. Scientific Reports. 8: 12309. PMID 30120288 DOI: 10.1038/S41598-018-30089-2 |
0.712 |
|
| 2018 |
Bello NM, Ferreira VC, Gianola D, Rosa GJM. Conceptual framework for investigating causal effects from observational data in livestock. Journal of Animal Science. PMID 30107524 DOI: 10.1093/Jas/Sky277 |
0.609 |
|
| 2018 |
González-Camacho JM, Ornella L, Pérez-Rodríguez P, Gianola D, Dreisigacker S, Crossa J. Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance. The Plant Genome. 11. PMID 30025028 DOI: 10.3835/Plantgenome2017.11.0104 |
0.334 |
|
| 2018 |
Gianola D, Cecchinato A, Naya H, Schön CC. Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction. Frontiers in Genetics. 9: 195. PMID 29951082 DOI: 10.3389/Fgene.2018.00195 |
0.523 |
|
| 2017 |
Gianola D. It is unlikely that genomic selection will ever be 100% accurate. Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie. 134: 438-440. PMID 29164759 DOI: 10.1111/Jbg.12307 |
0.338 |
|
| 2017 |
Töpner K, Rosa GJM, Gianola D, Schön CC. Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.). G3 (Bethesda, Md.). PMID 28637811 DOI: 10.1534/G3.117.044263 |
0.418 |
|
| 2017 |
Baker LA, Kirkpatrick B, Rosa GJ, Gianola D, Valente B, Sumner JP, Baltzer W, Hao Z, Binversie EE, Volstad N, Piazza A, Sample SJ, Muir P. Genome-wide association analysis in dogs implicates 99 loci as risk variants for anterior cruciate ligament rupture. Plos One. 12: e0173810. PMID 28379989 DOI: 10.1371/Journal.Pone.0173810 |
0.394 |
|
| 2017 |
Momen M, Mehrgardi AA, Sheikhy A, Esmailizadeh A, Fozi MA, Kranis A, Valente BD, Rosa GJ, Gianola D. A predictive assessment of genetic correlations between traits in chickens using markers. Genetics, Selection, Evolution : Gse. 49: 16. PMID 28148241 DOI: 10.1186/S12711-017-0290-9 |
0.488 |
|
| 2016 |
Dadousis C, Pegolo S, Rosa GJ, Gianola D, Bittante G, Cecchinato A. Pathway-based genome-wide association analysis of milk coagulation properties, curd firmness, cheese yield, and curd nutrient recovery in dairy cattle. Journal of Dairy Science. PMID 27988128 DOI: 10.3168/Jds.2016-11587 |
0.372 |
|
| 2016 |
Mikshowsky AA, Gianola D, Weigel KA. Assessing genomic prediction accuracy for Holstein sires using bootstrap aggregation sampling and leave-one-out cross validation. Journal of Dairy Science. PMID 27889124 DOI: 10.3168/Jds.2016-11496 |
0.434 |
|
| 2016 |
Dadousis C, Biffani S, Cipolat-Gotet C, Nicolazzi EL, Rosa GJ, Gianola D, Rossoni A, Santus E, Bittante G, Cecchinato A. Genome-wide association study for cheese yield and curd nutrient recovery in dairy cows. Journal of Dairy Science. PMID 27889122 DOI: 10.3168/Jds.2016-11586 |
0.451 |
|
| 2016 |
Gianola D, Fariello MI, Naya H, Schoen CC. Genome-Wide Association Studies with a Genomic Relationship Matrix: A Case Study with Wheat and Arabidopsis. G3 (Bethesda, Md.). PMID 27520956 DOI: 10.1534/G3.116.034256 |
0.409 |
|
| 2016 |
Gianola D, Schön CC. Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction. G3 (Bethesda, Md.). PMID 27489209 DOI: 10.1534/G3.116.033381 |
0.487 |
|
| 2016 |
Hu Y, Rosa GJ, Gianola D. Incorporating parent-of-origin effects in whole-genome prediction of complex traits. Genetics, Selection, Evolution : Gse. 48: 34. PMID 27091137 DOI: 10.1186/S12711-016-0213-1 |
0.398 |
|
| 2016 |
Mikshowsky AA, Gianola D, Weigel KA. Improving reliability of genomic predictions for Jersey sires using bootstrap aggregation sampling. Journal of Dairy Science. PMID 26971146 DOI: 10.3168/Jds.2015-10715 |
0.429 |
|
| 2016 |
González-Camacho JM, Crossa J, Pérez-Rodríguez P, Ornella L, Gianola D. Genome-enabled prediction using probabilistic neural network classifiers. Bmc Genomics. 17: 208. PMID 26956885 DOI: 10.1186/S12864-016-2553-1 |
0.426 |
|
| 2016 |
Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens. Genetics, Selection, Evolution : Gse. 48: 10. PMID 26842494 DOI: 10.1186/S12711-016-0187-Z |
0.686 |
|
| 2015 |
Beissinger TM, Gholami M, Erbe M, Weigend S, Weigend A, de Leon N, Gianola D, Simianer H. Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens. Heredity. PMID 26350629 DOI: 10.1038/Hdy.2015.81 |
0.735 |
|
| 2015 |
Hu Y, Morota G, Rosa GJ, Gianola D. Prediction of Plant Height in Arabidopsis thaliana Using DNA Methylation Data. Genetics. PMID 26253546 DOI: 10.1534/Genetics.115.177204 |
0.689 |
|
| 2015 |
Hu Y, Rosa GJ, Gianola D. A GWAS assessment of the contribution of genomic imprinting to the variation of body mass index in mice. Bmc Genomics. 16: 576. PMID 26238105 DOI: 10.1186/S12864-015-1721-Z |
0.444 |
|
| 2015 |
Cuyabano BC, Su G, Rosa GJ, Lund MS, Gianola D. Bootstrap study of genome-enabled prediction reliabilities using haplotype blocks across Nordic Red cattle breeds. Journal of Dairy Science. PMID 26233439 DOI: 10.3168/Jds.2015-9360 |
0.447 |
|
| 2015 |
Gianola D, de Los Campos G, Toro MA, Naya H, Schön CC, Sorensen D. Do Molecular Markers Inform About Pleiotropy? Genetics. PMID 26205989 DOI: 10.1534/Genetics.115.179978 |
0.473 |
|
| 2015 |
de Los Campos G, Sorensen D, Gianola D. Genomic heritability: what is it? Plos Genetics. 11: e1005048. PMID 25942577 DOI: 10.1371/Journal.Pgen.1005048 |
0.504 |
|
| 2015 |
Beissinger TM, Rosa GJ, Kaeppler SM, Gianola D, de Leon N. Defining window-boundaries for genomic analyses using smoothing spline techniques. Genetics, Selection, Evolution : Gse. 47: 30. PMID 25928167 DOI: 10.1186/S12711-015-0105-9 |
0.729 |
|
| 2015 |
Valente BD, Morota G, Peñagaricano F, Gianola D, Weigel K, Rosa GJ. The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models. Genetics. 200: 483-94. PMID 25908318 DOI: 10.1534/Genetics.114.169490 |
0.741 |
|
| 2015 |
Ehret A, Hochstuhl D, Gianola D, Thaller G. Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle. Genetics, Selection, Evolution : Gse. 47: 22. PMID 25886037 DOI: 10.1186/S12711-015-0097-5 |
0.474 |
|
| 2015 |
Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Assessment of bagging GBLUP for whole-genome prediction of broiler chicken traits. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 132: 218-28. PMID 25727456 DOI: 10.1111/Jbg.12131 |
0.706 |
|
| 2015 |
Gianola D, Rosa GJ. One hundred years of statistical developments in animal breeding. Annual Review of Animal Biosciences. 3: 19-56. PMID 25387231 DOI: 10.1146/Annurev-Animal-022114-110733 |
0.317 |
|
| 2014 |
Casellas J, Gianola D, Medrano JF. Bayesian analysis of additive epistasis arising from new mutations in mice. Genetics Research. 96: e008. PMID 25578900 DOI: 10.1017/S001667231400010X |
0.353 |
|
| 2014 |
Felipe VP, Okut H, Gianola D, Silva MA, Rosa GJ. Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data. Bmc Genetics. 15: 149. PMID 25544265 DOI: 10.1186/S12863-014-0149-9 |
0.485 |
|
| 2014 |
Morota G, Gianola D. Kernel-based whole-genome prediction of complex traits: a review. Frontiers in Genetics. 5: 363. PMID 25360145 DOI: 10.3389/Fgene.2014.00363 |
0.725 |
|
| 2014 |
Cuevas J, Pérez-Elizalde S, Soberanis V, Pérez-Rodríguez P, Gianola D, Crossa J. Bayesian genomic-enabled prediction as an inverse problem. G3 (Bethesda, Md.). 4: 1991-2001. PMID 25155273 DOI: 10.1534/G3.114.013094 |
0.495 |
|
| 2014 |
Wu XL, Gianola D, Rosa GJ, Weigel KA. Meta-analysis of candidate gene effects using bayesian parametric and non-parametric approaches. Journal of Genomics. 2: 1-19. PMID 25057320 DOI: 10.7150/jgen.5054 |
0.327 |
|
| 2014 |
de Maturana EL, Chanok SJ, Picornell AC, Rothman N, Herranz J, Calle ML, GarcÃa-Closas M, Marenne G, Brand A, Tardón A, Carrato A, Silverman DT, Kogevinas M, Gianola D, Real FX, et al. Whole genome prediction of bladder cancer risk with the Bayesian LASSO. Genetic Epidemiology. 38: 467-76. PMID 24796258 DOI: 10.1002/Gepi.21809 |
0.474 |
|
| 2014 |
Gianola D, Weigel KA, Krämer N, Stella A, Schön CC. Enhancing genome-enabled prediction by bagging genomic BLUP. Plos One. 9: e91693. PMID 24722227 DOI: 10.1371/Journal.Pone.0091693 |
0.462 |
|
| 2014 |
Morota G, Boddhireddy P, Vukasinovic N, Gianola D, Denise S. Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits. Frontiers in Genetics. 5: 56. PMID 24715901 DOI: 10.3389/Fgene.2014.00056 |
0.746 |
|
| 2014 |
Morota G, Abdollahi-Arpanahi R, Kranis A, Gianola D. Genome-enabled prediction of quantitative traits in chickens using genomic annotation. Bmc Genomics. 15: 109. PMID 24502227 DOI: 10.1186/1471-2164-15-109 |
0.69 |
|
| 2014 |
Abdollahi-Arpanahi R, Pakdel A, Nejati-Javaremi A, Moradi Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Dissection of additive genetic variability for quantitative traits in chickens using SNP markers. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 131: 183-93. PMID 24460953 DOI: 10.1111/Jbg.12079 |
0.711 |
|
| 2014 |
Abdollahi-Arpanahi R, Nejati-Javaremi A, Pakdel A, Moradi-Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Effect of allele frequencies, effect sizes and number of markers on prediction of quantitative traits in chickens. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 131: 123-33. PMID 24397350 DOI: 10.1111/Jbg.12075 |
0.691 |
|
| 2014 |
Tusell L, Pérez-Rodríguez P, Forni S, Gianola D. 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 = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 131: 105-15. PMID 24397267 DOI: 10.1111/Jbg.12070 |
0.468 |
|
| 2014 |
Beissinger TM, Hirsch CN, Vaillancourt B, Deshpande S, Barry K, Buell CR, Kaeppler SM, Gianola D, de Leon N. A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number. Genetics. 196: 829-40. PMID 24381334 DOI: 10.1534/Genetics.113.160655 |
0.75 |
|
| 2014 |
González-Recio O, Rosa GJM, Gianola D. Machine learning methods and predictive ability metrics for genome-wide prediction of complex traits Livestock Science. 166: 217-231. DOI: 10.1016/J.Livsci.2014.05.036 |
0.463 |
|
| 2013 |
Gianola D. Assortative mating and the genetic correlation. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 62: 225-31. PMID 24270615 DOI: 10.1007/Bf00276244 |
0.404 |
|
| 2013 |
Mwenya WN, Gianola D, Grossman M. Effects of assortative mating for pupa weight on genetic parameters of unselected Tribolium castaneum. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 72: 388-94. PMID 24247948 DOI: 10.1007/Bf00288578 |
0.309 |
|
| 2013 |
Kachman SD, Baker RL, Gianola D. Phenotypic and genetic variability of estimated growth curve parameters in mice. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 76: 148-56. PMID 24231997 DOI: 10.1007/Bf00288846 |
0.337 |
|
| 2013 |
Sun C, VanRaden PM, O'Connell JR, Weigel KA, Gianola D. Mating programs including genomic relationships and dominance effects. Journal of Dairy Science. 96: 8014-23. PMID 24119810 DOI: 10.3168/Jds.2013-6969 |
0.401 |
|
| 2013 |
Okut H, Wu XL, Rosa GJ, Bauck S, Woodward BW, Schnabel RD, Taylor JF, Gianola D. Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models. Genetics, Selection, Evolution : Gse. 45: 34. PMID 24024641 DOI: 10.1186/1297-9686-45-34 |
0.478 |
|
| 2013 |
Gianola D, Qanbari S, Simianer H. An evaluation of a novel estimator of linkage disequilibrium. Heredity. 111: 275-85. PMID 23921642 DOI: 10.1038/Hdy.2013.46 |
0.412 |
|
| 2013 |
Tusell L, Pérez-Rodríguez P, Forni S, Wu XL, Gianola D. Genome-enabled methods for predicting litter size in pigs: a comparison. Animal : An International Journal of Animal Bioscience. 7: 1739-49. PMID 23880322 DOI: 10.1017/S1751731113001389 |
0.44 |
|
| 2013 |
Jiménez-Montero JA, Gianola D, Weigel K, Alenda R, González-Recio O. Assets of imputation to ultra-high density for productive and functional traits. Journal of Dairy Science. 96: 6047-58. PMID 23810591 DOI: 10.3168/Jds.2013-6793 |
0.418 |
|
| 2013 |
Morota G, Koyama M, Rosa GJ, Weigel KA, Gianola D. Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data. Genetics, Selection, Evolution : Gse. 45: 17. PMID 23763755 DOI: 10.1186/1297-9686-45-17 |
0.739 |
|
| 2013 |
Morota G, Gianola D. Evaluation of linkage disequilibrium in wheat with an L1-regularized sparse Markov network. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 126: 1991-2002. PMID 23661079 DOI: 10.1007/S00122-013-2112-Y |
0.645 |
|
| 2013 |
Pérez-Rodríguez P, Gianola D, Weigel KA, Rosa GJ, Crossa J. Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding. Journal of Animal Science. 91: 3522-31. PMID 23658327 DOI: 10.2527/Jas.2012-6162 |
0.448 |
|
| 2013 |
Gianola D. Priors in whole-genome regression: the bayesian alphabet returns. Genetics. 194: 573-96. PMID 23636739 DOI: 10.1534/Genetics.113.151753 |
0.473 |
|
| 2013 |
Lehermeier C, Wimmer V, Albrecht T, Auinger HJ, Gianola D, Schmid VJ, Schön CC. Sensitivity to prior specification in Bayesian genome-based prediction models. Statistical Applications in Genetics and Molecular Biology. 12: 375-91. PMID 23629460 DOI: 10.1515/Sagmb-2012-0042 |
0.499 |
|
| 2013 |
Valente BD, Rosa GJ, Gianola D, Wu XL, Weigel K. Is structural equation modeling advantageous for the genetic improvement of multiple traits? Genetics. 194: 561-72. PMID 23608193 DOI: 10.1534/Genetics.113.151209 |
0.493 |
|
| 2013 |
Haugaard K, Tusell L, Perez P, Gianola D, Whist AC, Heringstad B. Prediction of clinical mastitis outcomes within and between environments using whole-genome markers. Journal of Dairy Science. 96: 3986-93. PMID 23587379 DOI: 10.3168/Jds.2012-6133 |
0.421 |
|
| 2013 |
Gianola D, Hospital F, Verrier E. Contribution of an additive locus to genetic variance when inheritance is multi-factorial with implications on interpretation of GWAS. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 126: 1457-72. PMID 23508282 DOI: 10.1007/S00122-013-2064-2 |
0.47 |
|
| 2013 |
Wu X, Gianola D, Hu Z, Reecy JM. Meta-Analysis of Quantitative Trait Association and Mapping Studies using Parametric and Non-Parametric Models Journal of Biometrics & Biostatistics. 2013: 1-9. DOI: 10.4172/2155-6180.S1-001 |
0.421 |
|
| 2012 |
Boligon AA, Long N, Albuquerque LG, Weigel KA, Gianola D, Rosa GJ. Comparison of selective genotyping strategies for prediction of breeding values in a population undergoing selection. Journal of Animal Science. 90: 4716-22. PMID 23372045 DOI: 10.2527/Jas.2012-4857 |
0.659 |
|
| 2012 |
Pérez-Rodríguez P, Gianola D, González-Camacho JM, Crossa J, Manès Y, Dreisigacker S. Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat. G3 (Bethesda, Md.). 2: 1595-605. PMID 23275882 DOI: 10.1534/G3.112.003665 |
0.453 |
|
| 2012 |
Qanbari S, Strom TM, Haberer G, Weigend S, Gheyas AA, Turner F, Burt DW, Preisinger R, Gianola D, Simianer H. A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens. Plos One. 7: e49525. PMID 23209582 DOI: 10.1371/Journal.Pone.0049525 |
0.392 |
|
| 2012 |
Morota G, Valente BD, Rosa GJ, Weigel KA, Gianola D. An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 129: 474-87. PMID 23148973 DOI: 10.1111/Jbg.12002 |
0.7 |
|
| 2012 |
Vazquez AI, de los Campos G, Klimentidis YC, Rosa GJ, Gianola D, Yi N, Allison DB. A comprehensive genetic approach for improving prediction of skin cancer risk in humans. Genetics. 192: 1493-502. PMID 23051645 DOI: 10.1534/Genetics.112.141705 |
0.465 |
|
| 2012 |
Wu XL, Sun C, Beissinger TM, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D. Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics. Genetics, Selection, Evolution : Gse. 44: 29. PMID 23009363 DOI: 10.1186/1297-9686-44-29 |
0.768 |
|
| 2012 |
Misztal I, Gianola D, Hoeschele I. Threshold models with heterogeneous residual variance due to missing information. Genetique, Selection, Evolution. 20: 511-6. PMID 22879344 DOI: 10.1186/1297-9686-20-4-511 |
0.36 |
|
| 2012 |
Gianola D, Foulley J, Fernando R. Prediction of breeding values when variances are not known. Genetique, Selection, Evolution. 18: 485-98. PMID 22879264 DOI: 10.1186/1297-9686-18-4-485 |
0.359 |
|
| 2012 |
Meijering A, Gianola D. Linear versus nonlinear methods of sire evaluation for categorical traits: a simulation study. Genetique, Selection, Evolution. 17: 115-32. PMID 22879189 DOI: 10.1186/1297-9686-17-1-115 |
0.311 |
|
| 2012 |
Foulley J, Gianola D, Thompson R. Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening. Genetique, Selection, Evolution. 15: 401-24. PMID 22879134 DOI: 10.1186/1297-9686-15-3-401 |
0.412 |
|
| 2012 |
Gianola D, Foulley J. Sire evaluation for ordered categorical data with a threshold model. Genetique, Selection, Evolution. 15: 201-24. PMID 22879123 DOI: 10.1186/1297-9686-15-2-201 |
0.347 |
|
| 2012 |
Sun C, Wu XL, Weigel KA, Rosa GJ, Bauck S, Woodward BW, Schnabel RD, Taylor JF, Gianola D. An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle. Genetics Research. 94: 133-50. PMID 22809677 DOI: 10.1017/S001667231200033X |
0.36 |
|
| 2012 |
Gianola D, Manfredi E, Simianer H. On measures of association among genetic variables. Animal Genetics. 43: 19-35. PMID 22742500 DOI: 10.1111/J.1365-2052.2012.02326.X |
0.361 |
|
| 2012 |
Gianola D, Rosa GJ, Allison DB. Humble Thanks to a Gentle Giant (an Obituary for James F. Crow). Frontiers in Genetics. 3: 93. PMID 22675330 DOI: 10.3389/Fgene.2012.00093 |
0.394 |
|
| 2012 |
Ober U, Ayroles JF, Stone EA, Richards S, Zhu D, Gibbs RA, Stricker C, Gianola D, Schlather M, Mackay TF, Simianer H. Using whole-genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster. Plos Genetics. 8: e1002685. PMID 22570636 DOI: 10.1371/Journal.Pgen.1002685 |
0.458 |
|
| 2012 |
González-Camacho JM, de Los Campos G, Pérez P, Gianola D, Cairns JE, Mahuku G, Babu R, Crossa J. Genome-enabled prediction of genetic values using radial basis function neural networks. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 125: 759-71. PMID 22566067 DOI: 10.1007/S00122-012-1868-9 |
0.497 |
|
| 2012 |
Pérez-Cabal MA, Vazquez AI, Gianola D, Rosa GJ, Weigel KA. Accuracy of Genome-Enabled Prediction in a Dairy Cattle Population using Different Cross-Validation Layouts. Frontiers in Genetics. 3: 27. PMID 22403583 DOI: 10.3389/Fgene.2012.00027 |
0.461 |
|
| 2012 |
Vazquez AI, Perez-Cabal MA, Heringstad B, Rodrigues-Motta M, Rosa GJ, Gianola D, Weigel KA. Predictive ability of alternative models for genetic analysis of clinical mastitis. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 129: 120-8. PMID 22394234 DOI: 10.1111/J.1439-0388.2011.00950.X |
0.824 |
|
| 2011 |
Wu XL, Beissinger TM, Bauck S, Woodward B, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D. A primer on high-throughput computing for genomic selection. Frontiers in Genetics. 2: 4. PMID 22303303 DOI: 10.3389/Fgene.2011.00004 |
0.747 |
|
| 2011 |
Gianola D, Okut H, Weigel KA, Rosa GJ. Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat. Bmc Genetics. 12: 87. PMID 21981731 DOI: 10.1186/1471-2156-12-87 |
0.461 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins. Journal of Animal Breeding and Genetics = Zeitschrift Fã¼R Tierzã¼Chtung Und Zã¼Chtungsbiologie. 128: 247-57. PMID 21749471 DOI: 10.1111/J.1439-0388.2011.00917.X |
0.671 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Application of support vector regression to genome-assisted prediction of quantitative traits. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 123: 1065-74. PMID 21739137 DOI: 10.1007/S00122-011-1648-Y |
0.689 |
|
| 2011 |
Qanbari S, Gianola D, Hayes B, Schenkel F, Miller S, Moore S, Thaller G, Simianer H. Application of site and haplotype-frequency based approaches for detecting selection signatures in cattle. Bmc Genomics. 12: 318. PMID 21679429 DOI: 10.1186/1471-2164-12-318 |
0.371 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Marker-assisted prediction of non-additive genetic values. Genetica. 139: 843-54. PMID 21674154 DOI: 10.1007/S10709-011-9588-7 |
0.672 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Long-term impacts of genome-enabled selection. Journal of Applied Genetics. 52: 467-80. PMID 21584728 DOI: 10.1007/S13353-011-0053-1 |
0.648 |
|
| 2011 |
Okut H, Gianola D, Rosa GJ, Weigel KA. Prediction of body mass index in mice using dense molecular markers and a regularized neural network. Genetics Research. 93: 189-201. PMID 21481292 DOI: 10.1017/S0016672310000662 |
0.366 |
|
| 2011 |
Peñagaricano F, Urioste JI, Naya H, de los Campos G, Gianola D. Assessment of Poisson, probit and linear models for genetic analysis of presence and number of black spots in Corriedale sheep. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 128: 105-13. PMID 21385225 DOI: 10.1111/J.1439-0388.2010.00893.X |
0.503 |
|
| 2011 |
Rosa GJ, Valente BD, de los Campos G, Wu XL, Gianola D, Silva MA. Inferring causal phenotype networks using structural equation models. Genetics, Selection, Evolution : Gse. 43: 6. PMID 21310061 DOI: 10.1186/1297-9686-43-6 |
0.493 |
|
| 2011 |
Santellano-Estrada E, Becerril-Pérez CM, Mei-Chang Y, Gianola D, Torres-Hernández G, Ramírez-Valverde R, Domínguez-Vivieros J, Rosendo-Ponce A. Characterization of lactation and genetic evaluation of tropical milking criollo cattle using a random regression model | Caracterización de la lactancia y evaluación genética del ganado criollo lechero tropical utilizando un modelo de regresión aleatoria Agrociencia. 45: 165-175. |
0.324 |
|
| 2010 |
Pérez P, de Los Campos G, Crossa J, Gianola D. Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R. The Plant Genome. 3: 106-116. PMID 21566722 DOI: 10.3835/Plantgenome2010.04.0005 |
0.462 |
|
| 2010 |
Vazquez AI, Rosa GJ, Weigel KA, de los Campos G, Gianola D, Allison DB. Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins. Journal of Dairy Science. 93: 5942-9. PMID 21094768 DOI: 10.3168/Jds.2010-3335 |
0.441 |
|
| 2010 |
de los Campos G, Gianola D, Allison DB. Predicting genetic predisposition in humans: the promise of whole-genome markers. Nature Reviews. Genetics. 11: 880-6. PMID 21045869 DOI: 10.1038/Nrg2898 |
0.467 |
|
| 2010 |
Weigel KA, de Los Campos G, Vazquez AI, Rosa GJ, Gianola D, Van Tassell CP. Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle. Journal of Dairy Science. 93: 5423-35. PMID 20965358 DOI: 10.3168/Jds.2010-3149 |
0.419 |
|
| 2010 |
De los Campos G, Gianola D, Rosa GJ, Weigel KA, Crossa J. Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genetics Research. 92: 295-308. PMID 20943010 DOI: 10.1017/S0016672310000285 |
0.508 |
|
| 2010 |
Crossa J, Campos Gde L, Pérez P, Gianola D, Burgueño J, Araus JL, Makumbi D, Singh RP, Dreisigacker S, Yan J, Arief V, Banziger M, Braun HJ. Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics. 186: 713-24. PMID 20813882 DOI: 10.1534/Genetics.110.118521 |
0.508 |
|
| 2010 |
Gianola D, Wu XL, Manfredi E, Simianer H. A non-parametric mixture model for genome-enabled prediction of genetic value for a quantitative trait. Genetica. 138: 959-77. PMID 20737196 DOI: 10.1007/S10709-010-9478-4 |
0.485 |
|
| 2010 |
González-Recio O, Weigel KA, Gianola D, Naya H, Rosa GJ. L2-Boosting algorithm applied to high-dimensional problems in genomic selection. Genetics Research. 92: 227-37. PMID 20667166 DOI: 10.1017/S0016672310000261 |
0.394 |
|
| 2010 |
Long N, Gianola D, Rosa GJ, Weigel KA, Kranis A, González-Recio O. Radial basis function regression methods for predicting quantitative traits using SNP markers. Genetics Research. 92: 209-25. PMID 20667165 DOI: 10.1017/S0016672310000157 |
0.699 |
|
| 2010 |
Valente BD, Rosa GJ, de Los Campos G, Gianola D, Silva MA. Searching for recursive causal structures in multivariate quantitative genetics mixed models. Genetics. 185: 633-44. PMID 20351220 DOI: 10.1534/Genetics.109.112979 |
0.453 |
|
| 2010 |
de Maturana EL, de los Campos G, Wu XL, Gianola D, Weigel KA, Rosa GJ. Modeling relationships between calving traits: a comparison between standard and recursive mixed models. Genetics, Selection, Evolution : Gse. 42: 1. PMID 20100345 DOI: 10.1186/1297-9686-42-1 |
0.389 |
|
| 2010 |
Wu XL, Heringstad B, Gianola D. Bayesian structural equation models for inferring relationships between phenotypes: a review of methodology, identifiability, and applications. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 127: 3-15. PMID 20074182 DOI: 10.1111/J.1439-0388.2009.00835.X |
0.399 |
|
| 2010 |
Wu XL, Gianola D, Rosa GJ, Weigel KA. Bayesian model averaging for evaluation of candidate gene effects. Genetica. 138: 395-407. PMID 20049510 DOI: 10.1007/S10709-009-9433-4 |
0.395 |
|
| 2010 |
Cecchinato A, de los Campos G, Gianola D, Gallo L, Carnier P. The relevance of purebred information for predicting genetic merit of survival at birth of crossbred piglets. Journal of Animal Science. 88: 481-90. PMID 19897636 DOI: 10.2527/Jas.2008-1744 |
0.429 |
|
| 2010 |
Vazquez AI, Bates DM, Rosa GJ, Gianola D, Weigel KA. Technical note: an R package for fitting generalized linear mixed models in animal breeding. Journal of Animal Science. 88: 497-504. PMID 19820058 DOI: 10.2527/Jas.2009-1952 |
0.457 |
|
| 2009 |
Weigel KA, de los Campos G, González-Recio O, Naya H, Wu XL, Long N, Rosa GJ, Gianola D. Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers. Journal of Dairy Science. 92: 5248-57. PMID 19762843 DOI: 10.3168/Jds.2009-2092 |
0.635 |
|
| 2009 |
Vazquez AI, Weigel KA, Gianola D, Bates DM, Perez-Cabal MA, Rosa GJ, Chang YM. Poisson versus threshold models for genetic analysis of clinical mastitis in US Holsteins. Journal of Dairy Science. 92: 5239-47. PMID 19762842 DOI: 10.3168/Jds.2009-2085 |
0.647 |
|
| 2009 |
Forni S, Gianola D, Rosa GJ. Predictive ability and covariance parameters of dynamic linear models for analysis of longitudinal traits. Journal of Animal Science. 87: 3854-64. PMID 19684263 DOI: 10.2527/Jas.2008-1515 |
0.488 |
|
| 2009 |
Forni S, Gianola D, Rosa GJ, de Los Campos G. A dynamic linear model for genetic analysis of longitudinal traits. Journal of Animal Science. 87: 3845-53. PMID 19684262 DOI: 10.2527/Jas.2008-1514 |
0.526 |
|
| 2009 |
de Maturana EL, Gianola D, Rosa GJ, Weigel KA. Predictive ability of models for calving difficulty in US Holsteins. Journal of Animal Breeding and Genetics = Zeitschrift FüR TierzüChtung Und ZüChtungsbiologie. 126: 179-88. PMID 19646146 DOI: 10.1111/J.1439-0388.2008.00792.X |
0.337 |
|
| 2009 |
Gianola D, de los Campos G, Hill WG, Manfredi E, Fernando R. Additive genetic variability and the Bayesian alphabet. Genetics. 183: 347-63. PMID 19620397 DOI: 10.1534/Genetics.109.103952 |
0.536 |
|
| 2009 |
Pérez-Cabal MA, de los Campos G, Vazquez AI, Gianola D, Rosa GJ, Weigel KA, Alenda R. Genetic evaluation of susceptibility to clinical mastitis in Spanish Holstein cows. Journal of Dairy Science. 92: 3472-80. PMID 19528625 DOI: 10.3168/Jds.2008-1978 |
0.479 |
|
| 2009 |
David I, Bodin L, Gianola D, Legarra A, Manfredi E, Robert-Granié C. Product versus additive threshold models for analysis of reproduction outcomes in animal genetics. Journal of Animal Science. 87: 2510-8. PMID 19395507 DOI: 10.2527/Jas.2008-1586 |
0.497 |
|
| 2009 |
Heringstad B, Wu XL, Gianola D. Inferring relationships between health and fertility in Norwegian Red cows using recursive models. Journal of Dairy Science. 92: 1778-84. PMID 19307661 DOI: 10.3168/Jds.2008-1535 |
0.471 |
|
| 2009 |
de los Campos G, Naya H, Gianola D, Crossa J, Legarra A, Manfredi E, Weigel K, Cotes JM. Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics. 182: 375-85. PMID 19293140 DOI: 10.1534/Genetics.109.101501 |
0.516 |
|
| 2009 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Comparison of classification methods for detecting associations between SNPs and chick mortality. Genetics, Selection, Evolution : Gse. 41: 18. PMID 19284707 DOI: 10.1186/1297-9686-41-18 |
0.611 |
|
| 2009 |
González-Recio O, Gianola D, Rosa GJ, Weigel KA, Kranis A. Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens. Genetics, Selection, Evolution : Gse. 41: 3. PMID 19284693 DOI: 10.1186/1297-9686-41-3 |
0.454 |
|
| 2009 |
de Los Campos G, Gianola D, Rosa GJ. Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation. Journal of Animal Science. 87: 1883-7. PMID 19213705 DOI: 10.2527/Jas.2008-1259 |
0.486 |
|
| 2009 |
Vazquez AI, Gianola D, Bates D, Weigel KA, Heringstad B. Assessment of Poisson, logit, and linear models for genetic analysis of clinical mastitis in Norwegian Red cows Journal of Dairy Science. 92: 739-748. PMID 19164686 DOI: 10.3168/Jds.2008-1325 |
0.488 |
|
| 2009 |
de Maturana EL, Wu XL, Gianola D, Weigel KA, Rosa GJ. Exploring biological relationships between calving traits in primiparous cattle with a Bayesian recursive model. Genetics. 181: 277-87. PMID 18984571 DOI: 10.1534/Genetics.108.094888 |
0.366 |
|
| 2009 |
Wu XL, Gianola D, Weigel K. Bayesian joint mapping of quantitative trait loci for Gaussian and categorical characters in line crosses. Genetica. 135: 367-77. PMID 18584118 DOI: 10.1007/S10709-008-9283-5 |
0.445 |
|
| 2008 |
Gianola D, de los Campos G. Inferring genetic values for quantitative traits non-parametrically. Genetics Research. 90: 525-40. PMID 19123970 DOI: 10.1017/S0016672308009890 |
0.504 |
|
| 2008 |
Santellano-Estrada E, Becerril-Pérez CM, De Alba J, Chang YM, Gianola D, Torres-Hernández G, Ramirez-Valverde R. Inferring genetic parameters of lactation in Tropical Milking Criollo cattle with random regression test-day models Journal of Dairy Science. 91: 4393-4400. PMID 18946145 DOI: 10.3168/Jds.2007-0351 |
0.602 |
|
| 2008 |
König S, Chang YM, Borstel UUV, Gianola D, Simianer H. Genetic and phenotypic relationships among milk urea nitrogen, fertility, and milk yield in Holstein cows Journal of Dairy Science. 91: 4372-4382. PMID 18946143 DOI: 10.3168/Jds.2008-1236 |
0.597 |
|
| 2008 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendano S. Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers. Developments in Biologicals. 132: 373-6. PMID 18817329 DOI: 10.1159/000317279 |
0.624 |
|
| 2008 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Marker-assisted assessment of genotype by environment interaction: a case study of single nucleotide polymorphism-mortality association in broilers in two hygiene environments. Journal of Animal Science. 86: 3358-66. PMID 18765852 DOI: 10.2527/Jas.2008-1021 |
0.617 |
|
| 2008 |
Naya H, Urioste JI, Chang YM, Rodrigues-Motta M, Kremer R, Gianola D. A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep. Genetics, Selection, Evolution : Gse. 40: 379-94. PMID 18558072 DOI: 10.1051/gse:2008010 |
0.811 |
|
| 2008 |
Wu XL, Heringstad B, Gianola D. Exploration of lagged relationships between mastitis and milk yield in dairy cows using a Bayesian structural equation Gaussian-threshold model. Genetics, Selection, Evolution : Gse. 40: 333-57. PMID 18558070 DOI: 10.1051/gse:2008009 |
0.464 |
|
| 2008 |
González-Recio O, Gianola D, Long N, Weigel KA, Rosa GJ, Avendaño S. Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers. Genetics. 178: 2305-13. PMID 18430951 DOI: 10.1534/Genetics.107.084293 |
0.693 |
|
| 2008 |
Gianola D, van Kaam JB. Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits. Genetics. 178: 2289-303. PMID 18430950 DOI: 10.1534/Genetics.107.084285 |
0.492 |
|
| 2008 |
König S, Wu XL, Gianola D, Heringstad B, Simianer H. Exploration of relationships between claw disorders and milk yield in Holstein cows via recursive linear and threshold models Journal of Dairy Science. 91: 395-406. PMID 18096964 DOI: 10.3168/Jds.2007-0170 |
0.394 |
|
| 2008 |
Heringstad B, Change YM, Gianola D, Østerås O. Short communication: Genetic analysis of respiratory disease in Norwegian Red calves Journal of Dairy Science. 91: 367-370. PMID 18096960 DOI: 10.3168/Jds.2007-0365 |
0.426 |
|
| 2008 |
Gianola D. Inferences from Mixed Models in Quantitative Genetics Handbook of Statistical Genetics: Third Edition. 1: 678-717. DOI: 10.1002/9780470061619.ch20 |
0.361 |
|
| 2007 |
Urioste JI, Chang YM, Naya H, Gianola D. Genetic variability in calving success in Aberdeen Angus cows under extensive recording. Animal : An International Journal of Animal Bioscience. 1: 1081-8. PMID 22444852 DOI: 10.1017/S1751731107000390 |
0.583 |
|
| 2007 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers. Journal of Animal Breeding and Genetics = Zeitschrift Fã¼R Tierzã¼Chtung Und Zã¼Chtungsbiologie. 124: 377-89. PMID 18076475 DOI: 10.1111/J.1439-0388.2007.00694.X |
0.647 |
|
| 2007 |
Rodrigues-Motta M, Gianola D, Heringstad B, Rosa GJM, Chang YM. A zero-inflated Poisson model for genetic analysis of the number of mastitis cases in Norwegian Red cows Journal of Dairy Science. 90: 5306-5315. PMID 17954771 DOI: 10.3168/Jds.2006-898 |
0.817 |
|
| 2007 |
de Los Campos G, Gianola D. Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation. Genetics, Selection, Evolution : Gse. 39: 481-94. PMID 17897592 DOI: 10.1186/1297-9686-39-5-481 |
0.496 |
|
| 2007 |
Wu XL, Heringstad B, Chang YM, De Los Campos G, Gianola D. Inferring relationships between somatic cell score and milk yield using simultaneous and recursive models Journal of Dairy Science. 90: 3508-3521. PMID 17582135 DOI: 10.3168/Jds.2006-762 |
0.614 |
|
| 2007 |
Heringstad B, Chang YM, Svendsen M, Gianola D. Genetic analysis of calving difficulty and stillbirth in norwegian red cows Journal of Dairy Science. 90: 3500-3507. PMID 17582134 DOI: 10.3168/Jds.2006-792 |
0.599 |
|
| 2007 |
Chang YM, Gianola D, Heringstad B, Klemetsdal G. A periodic analysis of longitudinal binary responses: a case study of clinical mastitis in Norwegian Red cows. Genetics, Selection, Evolution : Gse. 39: 249-65. PMID 17433240 DOI: 10.1186/1297-9686-39-3-249 |
0.524 |
|
| 2007 |
Gulisija D, Gianola D, Weigel KA. Nonparametric analysis of the impact of inbreeding on production in Jersey cows Journal of Dairy Science. 90: 493-500. PMID 17183118 DOI: 10.3168/Jds.S0022-0302(07)72651-6 |
0.374 |
|
| 2007 |
Boettcher PJ, Caraviello D, Gianola D. Genetic analysis of somatic cell scores in US Holsteins with a Bayesian mixture model Journal of Dairy Science. 90: 435-443. PMID 17183112 DOI: 10.3168/Jds.S0022-0302(07)72645-0 |
0.511 |
|
| 2007 |
Gianola D, Boettcher PJ, Ødegård J, Heringstad B. Mixture models in quantitative genetics and applications to animal breeding Revista Brasileira De Zootecnia. 36: 172-183. DOI: 10.1590/S1516-35982007001000017 |
0.494 |
|
| 2007 |
Gianola D, Sorensen D. Inferring fixed effects in a mixed linear model from an integrated likelihood Acta Agriculturae Scandinavica a: Animal Sciences. 57: 183-191. DOI: 10.1080/09064700801959379 |
0.422 |
|
| 2006 |
Varona L, Mekkawy W, Gianola D, Blasco A. A whole-genome analysis using robust asymmetric distributions. Genetical Research. 88: 143-51. PMID 17371609 DOI: 10.1017/S0016672307008488 |
0.357 |
|
| 2006 |
Caraviello DZ, Weigel KA, Craven M, Gianola D, Cook NB, Nordlund KV, Fricke PM, Wiltbank MC. Analysis of reproductive performance of lactating cows on large dairy farms using machine learning algorithms Journal of Dairy Science. 89: 4703-4722. PMID 17106103 DOI: 10.3168/Jds.S0022-0302(06)72521-8 |
0.332 |
|
| 2006 |
De Los Campos G, Gianola D, Heringstad B. A structural equation model for describing relationships between somatic cell score and milk yield in first-lactation dairy cows Journal of Dairy Science. 89: 4445-4455. PMID 17033034 DOI: 10.3168/Jds.S0022-0302(06)72493-6 |
0.429 |
|
| 2006 |
González-Recio O, Alenda R, Chang YM, Weigel KA, Gianola D. Selection for female fertility using censored fertility traits and investigation of the relationship with milk production Journal of Dairy Science. 89: 4438-4444. PMID 17033033 DOI: 10.3168/Jds.S0022-0302(06)72492-4 |
0.621 |
|
| 2006 |
Heringstad B, Andersen-Ranberg IM, Chang YM, Gianola D. Short communication: Genetic analysis of nonreturn rate and mastitis in first-lactation Norwegian Red cows Journal of Dairy Science. 89: 4420-4423. PMID 17033030 DOI: 10.3168/Jds.S0022-0302(06)72489-4 |
0.587 |
|
| 2006 |
De Los Campos G, Gianola D, Boettcher P, Moroni P. A structural equation model for describing relationships between somatic cell score and milk yield in dairy goats Journal of Animal Science. 84: 2934-2941. PMID 17032786 DOI: 10.2527/Jas.2006-016 |
0.322 |
|
| 2006 |
Gianola D, Simianer H. A Thurstonian model for quantitative genetic analysis of ranks: a Bayesian approach. Genetics. 174: 1613-24. PMID 16980397 DOI: 10.1534/Genetics.106.060673 |
0.49 |
|
| 2006 |
Chang YM, Gianola D, Heringstad B, Klemetsdal G. A comparison between multivariate Slash, Student's t and probit threshold models for analysis of clinical mastitis in first lactation cows Journal of Animal Breeding and Genetics. 123: 290-300. PMID 16965401 DOI: 10.1111/j.1439-0388.2006.00605.x |
0.527 |
|
| 2006 |
Heringstad B, Chang YM, Andersen-Ranberg IM, Gianola D. Genetic analysis of number of mastitis cases and number of services to conception using a censored threshold model Journal of Dairy Science. 89: 4042-4048. PMID 16960080 DOI: 10.3168/Jds.S0022-0302(06)72447-X |
0.67 |
|
| 2006 |
Heringstad B, Gianola D, Chang YM, Ødegård J, Klemetsdal G. Genetic associations between clinical mastitis and somatic cell score in early first-lactation cows Journal of Dairy Science. 89: 2236-2244. PMID 16702291 DOI: 10.3168/Jds.S0022-0302(06)72295-0 |
0.597 |
|
| 2006 |
Gianola D, Fernando RL, Stella A. Genomic-assisted prediction of genetic value with semiparametric procedures. Genetics. 173: 1761-76. PMID 16648593 DOI: 10.1534/Genetics.105.049510 |
0.495 |
|
| 2006 |
Gianola D, Heringstad B, Odegaard J. On the quantitative genetics of mixture characters. Genetics. 173: 2247-55. PMID 16624917 DOI: 10.1534/Genetics.105.054197 |
0.465 |
|
| 2006 |
Chang YM, Andersen-Ranberg IM, Heringstad B, Gianola D, Klemetsdal G. Bivariate analysis of number of services to conception and days open in Norwegian Red using a censored threshold-linear model Journal of Dairy Science. 89: 772-778. PMID 16428644 DOI: 10.3168/Jds.S0022-0302(06)72138-5 |
0.616 |
|
| 2006 |
Naya H, Gianola D, Romero H, Urioste JI, Musto H. Inferring parameters shaping amino acid usage in prokaryotic genomes via Bayesian MCMC methods. Molecular Biology and Evolution. 23: 203-11. PMID 16162860 DOI: 10.1093/Molbev/Msj023 |
0.327 |
|
| 2006 |
González-Recio O, Chang YM, Gianola D, Weigel KA. Comparison of models using different censoring scenarios for days open in Spanish Holstein cows Animal Science. 82: 233-239. DOI: 10.1079/Asc200519 |
0.422 |
|
| 2006 |
Gulisija D, Gianola D, Weigel KA, Toro MA. Between-founder heterogeneity in inbreeding depression for production in Jersey cows Livestock Science. 104: 244-253. DOI: 10.1016/J.Livsci.2006.04.007 |
0.424 |
|
| 2005 |
González-Recio O, Chang YM, Gianola D, Weigel KA. Number of inseminations to conception in holstein cows using censored records and time-dependent covariates Journal of Dairy Science. 88: 3655-3662. PMID 16162540 DOI: 10.3168/Jds.S0022-0302(05)73051-4 |
0.606 |
|
| 2005 |
Gianola D. Prediction of random effects in finite mixture models with Gaussian components Journal of Animal Breeding and Genetics. 122: 145-160. PMID 16130465 DOI: 10.1111/j.1439-0388.2005.00529.x |
0.373 |
|
| 2005 |
Heringstad B, Chang YM, Gianola D, Klemetsdal G. Genetic analysis of clinical mastitis, milk fever, ketosis, and retained placenta in three lactations of Norwegian red cows Journal of Dairy Science. 88: 3273-3281. PMID 16107417 DOI: 10.3168/Jds.S0022-0302(05)73010-1 |
0.617 |
|
| 2005 |
Ødegård J, Madsen P, Gianola D, Klemetsdal G, Jensen J, Heringstad B, Korsgaard IR. A Bayesian threshold-normal mixture model for analysis of a continuous mastitis-related trait Journal of Dairy Science. 88: 2652-2659. PMID 15956327 DOI: 10.3168/Jds.S0022-0302(05)72942-8 |
0.497 |
|
| 2005 |
Boettcher PJ, Moroni P, Pisoni G, Gianola D. Application of a finite mixture model to somatic cell scores of Italian goats Journal of Dairy Science. 88: 2209-2216. PMID 15905450 DOI: 10.3168/Jds.S0022-0302(05)72896-4 |
0.458 |
|
| 2005 |
Andersen-Ranberg IM, Heringstad B, Gianola D, Chang YM, Klemetsdal G. Comparison between bivariate models for 56-day nonreturn and interval from calving to first insemination in Norwegian Red Journal of Dairy Science. 88: 2190-2198. PMID 15905448 DOI: 10.3168/Jds.S0022-0302(05)72894-0 |
0.68 |
|
| 2005 |
Heringstad B, Chang YM, Gianola D, Klemetsdal G. Genetic association between susceptibility to clinical mastitis and protein yield in Norwegian dairy cattle Journal of Dairy Science. 88: 1509-1514. PMID 15778320 DOI: 10.3168/Jds.S0022-0302(05)72819-8 |
0.595 |
|
| 2004 |
Caraviello DZ, Weigel KA, Gianola D. Prediction of longevity breeding values for US Holstein sires using survival analysis methodology Journal of Dairy Science. 87: 3518-3525. PMID 15377631 DOI: 10.3168/Jds.S0022-0302(04)73488-8 |
0.485 |
|
| 2004 |
Heringstad B, Chang YM, Gianola D, Klemetsdal G. Multivariate threshold model analysis of clinical mastitis in multiparous norwegian dairy cattle. Journal of Dairy Science. 87: 3038-46. PMID 15375066 DOI: 10.3168/Jds.S0022-0302(04)73436-0 |
0.61 |
|
| 2004 |
Caraviello DZ, Weigel KA, Gianola D. Analysis of the relationship between type traits and functional survival in US Holstein cattle using a Weibull proportional hazards model. Journal of Dairy Science. 87: 2677-86. PMID 15328293 DOI: 10.3168/Jds.S0022-0302(04)73394-9 |
0.392 |
|
| 2004 |
Caraviello DZ, Weigel KA, Gianola D. Comparison between a Weibull proportional hazards model and a linear model for predicting the genetic merit of US Jersey sires for daughter longevity. Journal of Dairy Science. 87: 1469-76. PMID 15290996 DOI: 10.3168/Jds.S0022-0302(04)73298-1 |
0.516 |
|
| 2004 |
Gianola D, Sorensen D. Quantitative genetic models for describing simultaneous and recursive relationships between phenotypes. Genetics. 167: 1407-24. PMID 15280252 DOI: 10.1534/Genetics.103.025734 |
0.476 |
|
| 2004 |
Gianola D, Ødegård J, Heringstad B, Klemetsdal G, Sorensen D, Madsen P, Jensen J, Detilleux J. Mixture model for inferring susceptibility to mastitis in dairy cattle: a procedure for likelihood-based inference. Genetics, Selection, Evolution : Gse. 36: 3-27. PMID 14713407 DOI: 10.1186/1297-9686-36-1-3 |
0.463 |
|
| 2004 |
Odegård J, Jensen J, Madsen P, Gianola D, Klemetsdal G, Heringstad B. Detection of mastitis in dairy cattle by use of mixture models for repeated somatic cell scores: a Bayesian approach via Gibbs sampling. Journal of Dairy Science. 86: 3694-703. PMID 14672200 DOI: 10.3168/Jds.S0022-0302(03)73975-7 |
0.477 |
|
| 2004 |
Piles M, Gianola D, Varona L, Blasco A. Bayesian inference about parameters of a longitudinal trajectory when selection operates on a correlated trait. Journal of Animal Science. 81: 2714-24. PMID 14601874 DOI: 10.2527/2003.81112714X |
0.398 |
|
| 2004 |
Rosa GJM, Gianola D, Padovani CR. Bayesian Longitudinal Data Analysis with Mixed Models and Thick-tailed Distributions using MCMC Journal of Applied Statistics. 31: 855-873. DOI: 10.1080/0266476042000214538 |
0.384 |
|
| 2004 |
Chang YM, Gianola D, Heringstad B, Klemetsdal G. Effects of trait definition on genetic parameter estimates and sire evaluation for clinical mastitis with threshold models Animal Science. 79: 355-363. DOI: 10.1017/S1357729800090226 |
0.458 |
|
| 2004 |
Chang Y, Gianola D, Heringstad B, Klemetsdal G. Longitudinal analysis of clinical mastitis at different stages of lactation in Norwegian Cattle Livestock Production Science. 88: 251-261. DOI: 10.1016/J.Livprodsci.2003.11.007 |
0.59 |
|
| 2003 |
Jakobsen JH, Rekaya R, Jensen J, Sorensen DA, Madsen P, Gianola D, Christensen LG, Pedersen J. Bayesian estimates of covariance components between lactation curve parameters and disease liability in Danish Holstein cows. Journal of Dairy Science. 86: 3000-7. PMID 14507037 DOI: 10.3168/Jds.S0022-0302(03)73898-3 |
0.462 |
|
| 2003 |
Caraviello DZ, Weigel KA, Gianola D. Analysis of the relationship between type traits, inbreeding, and functional survival in Jersey cattle using a Weibull proportional hazards model. Journal of Dairy Science. 86: 2984-9. PMID 14507035 DOI: 10.3168/Jds.S0022-0302(03)73896-X |
0.372 |
|
| 2003 |
Rekaya R, Gianola D, Weigel K, Shook G. Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle. Genetics, Selection, Evolution : Gse. 35: 457-68. PMID 12939200 DOI: 10.1186/1297-9686-35-6-457 |
0.468 |
|
| 2003 |
Heringstad B, Chang YM, Gianola D, Klemetsdal G. Genetic analysis of longitudinal trajectory of clinical mastitis in first-lactation Norwegian cattle. Journal of Dairy Science. 86: 2676-83. PMID 12939092 DOI: 10.3168/Jds.S0022-0302(03)73863-6 |
0.614 |
|
| 2003 |
Rekaya R, Weigel KA, Gianola D. Bayesian estimation of parameters of a structural model for genetic covariances between milk yield in five regions of the United States. Journal of Dairy Science. 86: 1837-44. PMID 12778595 DOI: 10.3168/Jds.S0022-0302(03)73770-9 |
0.495 |
|
| 2003 |
Heringstad B, Rekaya R, Gianola D, Klemetsdal G, Weigel KA. Bivariate analysis of liability to clinical mastitis and to culling in first-lactation cows. Journal of Dairy Science. 86: 653-60. PMID 12647971 DOI: 10.3168/Jds.S0022-0302(03)73643-1 |
0.411 |
|
| 2003 |
Korsgaard IR, Lund MS, Sorensen D, Gianola D, Madsen P, Jensen J. Multivariate Bayesian analysis of Gaussian, right censored Gaussian, ordered categorical and binary traits using Gibbs sampling. Genetics, Selection, Evolution : Gse. 35: 159-83. PMID 12633531 DOI: 10.1186/1297-9686-35-2-159 |
0.41 |
|
| 2003 |
Heringstad B, Rekaya R, Gianola D, Klemetsdal G, Weigel KA. Genetic Change for Clinical Mastitis in Norwegian Cattle: a Threshold Model Analysis Journal of Dairy Science. 86: 369-375. PMID 12613880 DOI: 10.3168/Jds.S0022-0302(03)73615-7 |
0.469 |
|
| 2003 |
Gianola D, Perez-Enciso M, Toro MA. On marker-assisted prediction of genetic value: beyond the ridge. Genetics. 163: 347-65. PMID 12586721 |
0.402 |
|
| 2003 |
Urioste J, Rekaya R, Gianola D, Fikse W, Weigel K. Model comparison for genetic evaluation of milk yield in Uruguayan Holsteins Livestock Production Science. 84: 63-73. DOI: 10.1016/S0301-6226(03)00051-4 |
0.523 |
|
| 2003 |
Rosa G, Padovani C, Gianola D. Robust Linear Mixed Models with Normal/Independent Distributions and Bayesian MCMC Implementation Biometrical Journal. 45: 573-590. DOI: 10.1002/Bimj.200390034 |
0.321 |
|
| 2002 |
Rosa GJ, Yandell BS, Gianola D. A Bayesian approach for constructing genetic maps when markers are miscoded. Genetics, Selection, Evolution : Gse. 34: 353-69. PMID 12081802 DOI: 10.1186/1297-9686-34-3-353 |
0.396 |
|
| 2002 |
Heringstad B, Rekaya R, Gianola D, Klemetsdal G, Weigel KA. Bayesian analysis of liability of clinical mastitis in Norwegian cattle with a threshold model: effects of data sampling method and model specification. Journal of Dairy Science. 84: 2337-46. PMID 11768073 DOI: 10.3168/Jds.S0022-0302(01)74682-6 |
0.469 |
|
| 2002 |
Rekaya R, Weigel KA, Gianola D. Threshold model for misclassified binary responses with applications to animal breeding. Biometrics. 57: 1123-9. PMID 11764252 DOI: 10.1111/J.0006-341X.2001.01123.X |
0.392 |
|
| 2002 |
Chang Y, Rekaya R, Gianola D, Thomas D. Genetic variation of lactation curves in dairy sheep: quadratic function versus Wood’s model Livestock Production Science. 77: 147-153. DOI: 10.1016/S0301-6226(02)00066-0 |
0.421 |
|
| 2001 |
Rekaya R, Weigel KA, Gianola D. Application of a structural model for genetic covariances in international dairy sire evaluations. Journal of Dairy Science. 84: 1525-30. PMID 11417713 DOI: 10.3168/Jds.S0022-0302(01)70186-5 |
0.503 |
|
| 2001 |
Sorensen D, Fernando R, Gianola D. Inferring the trajectory of genetic variance in the course of artificial selection Genetical Research. 77: 83-94. PMID 11279833 DOI: 10.1017/S0016672300004845 |
0.472 |
|
| 2001 |
Rosa GJM, Gianola D, Urioste JI. Assessing Relationships Between Genetic Evaluations Using Robust Regression with an Application to Holsteins in Uruguay Acta Agriculturae Scandinavica, Section a - Animal Science. 51: 21-34. DOI: 10.1080/090647001300004763A |
0.411 |
|
| 2001 |
Kadarmideen HN, Rekaya R, Gianola D. Genetic parameters for clinical mastitis in Holstein-Friesians in the United Kingdom: a Bayesian analysis Animal Science. 73: 229-240. DOI: 10.1017/S1357729800058203 |
0.363 |
|
| 2001 |
Urioste JI, Gianola D, Rekaya R, Fikse WF, Weigel KA. Evaluation of extent and amount of heterogeneous variance for milk yield in Uruguayan Holsteins Animal Science. 72: 259-268. DOI: 10.1017/S1357729800055752 |
0.442 |
|
| 2001 |
Guo S, Gianola D, Rekaya R, Short T. Bayesian analysis of lifetime performance and prolificacy in Landrace sows using a linear mixed model with censoring Livestock Production Science. 72: 243-252. DOI: 10.1016/S0301-6226(01)00219-6 |
0.645 |
|
| 2001 |
Jamrozik J, Gianola D, Schaeffer L. Bayesian estimation of genetic parameters for test day records in dairy cattle using linear hierarchical models Livestock Production Science. 71: 223-240. DOI: 10.1016/S0301-6226(01)00186-5 |
0.493 |
|
| 2001 |
Chang Y, Rekaya R, Gianola D, Thomas DL. Genetic variation of lactation curves in dairy sheep: a Bayesian analysis of Wood’s function Livestock Production Science. 71: 241-251. DOI: 10.1016/S0301-6226(01)00185-3 |
0.613 |
|
| 2001 |
Rekaya R, Weigel K, Gianola D. Hierarchical nonlinear model for persistency of milk yield in the first three lactations of Holsteins Livestock Production Science. 68: 181-187. DOI: 10.1016/S0301-6226(00)00239-6 |
0.413 |
|
| 2000 |
Rodriguez-Zas SL, Gianola D, Shook GE. An approximate Bayesian analysis of somatic cell score curves in Holsteins Acta Agriculturae Scandinavica - Section a: Animal Science. 50: 291-299. DOI: 10.1080/090647000750069485 |
0.61 |
|
| 2000 |
Gianola D. Statistics in Animal Breeding Journal of the American Statistical Association. 95: 296-299. DOI: 10.1080/01621459.2000.10473927 |
0.323 |
|
| 2000 |
Matos CAP, Thomas DL, Young LD, Gianola D. Genetic analyses of lamb survival in Rambouillet and Finnsheep flocks by linear and threshold models Animal Science. 71: 227-234. DOI: 10.1017/S1357729800055053 |
0.437 |
|
| 2000 |
Rodriguez-Zas SL, Gianola D, Shook GE. Evaluation of models for somatic cell score lactation patterns in Holsteins Livestock Production Science. 67: 19-30. DOI: 10.1016/S0301-6226(00)00193-7 |
0.623 |
|
| 1999 |
Tempelman RJ, Gianola D. Genetic analysis of fertility in dairy cattle using negative binomial mixed models Journal of Dairy Science. 82: 1834-1847. PMID 10480111 DOI: 10.3168/Jds.S0022-0302(99)75415-9 |
0.71 |
|
| 1999 |
Strandén I, Gianola D. Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach Genetics Selection Evolution. 31: 25. DOI: 10.1186/1297-9686-31-1-25 |
0.301 |
|
| 1998 |
Rodriguez-Zas SL, Gianola D, Shook GE. Bayesian analysis via Gibbs sampling of susceptibility to intramammary infection in Holstein cattle. Journal of Dairy Science. 81: 2710-22. PMID 9812276 DOI: 10.3168/Jds.S0022-0302(98)75828-X |
0.577 |
|
| 1998 |
Weigel KA, Fisher TM, Van der Linde C, Gianola D, Rekaya R. Impact of bovine somatotropin on genetic evaluation of dairy sires and cows. Journal of Dairy Science. 81: 2045-51. PMID 9710775 DOI: 10.3168/Jds.S0022-0302(98)75779-0 |
0.49 |
|
| 1998 |
Sorensen DA, Gianola D, Korsgaard IR. Bayesian mixed‐effects model analysis of a censored normal distribution with animal breeding applications Acta Agriculturae Scandinavica, Section a — Animal Science. 48: 222-229. DOI: 10.1080/09064709809362424 |
0.39 |
|
| 1997 |
Rodriguez-Zas SL, Gianola D, Shook GE. Factors affecting susceptibility to intramammary infection and mastitis: an approximate Bayesian analysis. Journal of Dairy Science. 80: 75-85. PMID 9120098 DOI: 10.3168/Jds.S0022-0302(97)75914-9 |
0.623 |
|
| 1997 |
Matos CA, Thomas DL, Gianola D, Perez-Enciso M, Young LD. Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models: II. Goodness of fit and predictive ability. Journal of Animal Science. 75: 88-94. PMID 9027552 DOI: 10.2527/1997.75188X |
0.519 |
|
| 1997 |
Matos CAP, Thomas DL, Gianola D, Tempelman RJ, Young LD. Genetic Analysis of Discrete Reproductive Traits in Sheep Using Linear and Nonlinear Models: I. Estimation of Genetic Parameters Journal of Animal Science. 75: 76-87. PMID 9027551 DOI: 10.2527/1997.75176X |
0.683 |
|
| 1996 |
Tempelman RJ, Gianola D. A mixed effects model for overdispersed count data in animal breeding Biometrics. 52: 265-279. DOI: 10.2307/2533161 |
0.714 |
|
| 1994 |
Wang CS, Gianola D, Sorensen DA, Jensen J, Christensen A, Rutledge JJ. Response to selection for litter size in Danish Landrace pigs: a Bayesian analysis. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 88: 220-30. PMID 24185930 DOI: 10.1007/Bf00225901 |
0.42 |
|
| 1994 |
Olesen I, Perez-Enciso M, Gianola D, Thomas DL. A comparison of normal and nonnormal mixed models for number of lambs born in Norwegian sheep. Journal of Animal Science. 72: 1166-73. PMID 8056660 DOI: 10.2527/1994.7251166X |
0.48 |
|
| 1994 |
Sorensen D, Wang C, Jensen J, Gianola D. Bayesian analysis of genetic change due to selection using Gibbs sampling Genetics Selection Evolution. 26: 333. DOI: 10.1186/1297-9686-26-4-333 |
0.478 |
|
| 1994 |
Tempelman R, Gianola D. Assessment of a Poisson animal model for embryo yield in a simulated multiple ovulation-embryo transfer scheme Genetics Selection Evolution. 26: 263. DOI: 10.1186/1297-9686-26-3-263 |
0.57 |
|
| 1994 |
Wang C, Rutledge J, Gianola D. Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs Genetics Selection Evolution. 26: 91. DOI: 10.1186/1297-9686-26-2-91 |
0.431 |
|
| 1994 |
Jensen J, Wang CS, Sorensen DA, Gianola D. Bayesian Inference on Variance and Covariance Components for Traits Influenced by Maternal and Direct Genetic Effects, Using the Gibbs Sampler Acta Agriculturae Scandinavica, Section a - Animal Science. 44: 193-201. DOI: 10.1080/09064709409410898 |
0.427 |
|
| 1993 |
Matos CA, Ritter C, Gianola D, Thomas DL. Bayesian analysis of lamb survival using Monte Carlo numerical integration with importance sampling. Journal of Animal Science. 71: 2047-54. PMID 8376228 DOI: 10.2527/1993.7182047X |
0.37 |
|
| 1993 |
Weigel K, Gianola D, Yandell B, Keown J. Identification of Factors Causing Heterogeneous Within-Herd Variance Components Using a Structural Model for Variances Journal of Dairy Science. 76: 1466-1478. DOI: 10.3168/Jds.S0022-0302(93)77477-9 |
0.48 |
|
| 1993 |
Weigel K, Gianola D. A Computationally Simple Bayesian Method for Estimation of Heterogeneous Within-Herd Phenotypic Variances Journal of Dairy Science. 76: 1455-1465. DOI: 10.3168/Jds.S0022-0302(93)77476-7 |
0.434 |
|
| 1993 |
Tempelman R, Gianola D. Marginal maximum likelihood estimation of variance components in Poisson mixed models using Laplacian integration Genetics Selection Evolution. 25: 305. DOI: 10.1186/1297-9686-25-4-305 |
0.624 |
|
| 1993 |
Wang C, Rutledge J, Gianola D. Marginal inferences about variance components in a mixed linear model using Gibbs sampling Genetics Selection Evolution. 25: 41. DOI: 10.1186/1297-9686-25-1-41 |
0.41 |
|
| 1993 |
Cantet RJC, Gianola D, Misztal I, Fernando RL. Estimates of dispersion parameters and of genetic and environmental trends for weaning weight in Angus cattle using a maternal animal model with genetic grouping Livestock Production Science. 34: 203-212. DOI: 10.1016/0301-6226(93)90107-S |
0.436 |
|
| 1993 |
Perez-Enciso M, Tempelman RJ, Gianola D. A comparison between linear and poisson mixed models for litter size in iberian pigs Livestock Production Science. 35: 303-316. DOI: 10.1016/0301-6226(93)90100-V |
0.695 |
|
| 1992 |
Weigel KA, Gianola D. Estimation of heterogeneous within-herd variance components using empirical Bayes methods: a simulation study. Journal of Dairy Science. 75: 2824-33. PMID 1430486 DOI: 10.3168/Jds.S0022-0302(92)78045-X |
0.404 |
|
| 1992 |
Gianola D, Foulley JL, Fernando RL, Henderson CR, Weigel KA. Estimation of heterogeneous variances using empirical Bayes methods: theoretical considerations Journal of Dairy Science. 75: 2805-2823. PMID 1430485 DOI: 10.3168/Jds.S0022-0302(92)78044-8 |
0.4 |
|
| 1992 |
Cantet R, Fernando R, Gianola D, Misztal I. Genetic grouping for direct and maternal effects with differential assignment of groups Genetics Selection Evolution. 24: 211. DOI: 10.1186/1297-9686-24-3-211 |
0.304 |
|
| 1992 |
Cantet R, Fernando R, Gianola D. Bayesian inference about dispersion parameters of univariate mixed models with maternal effects: theoretical considerations Genetics Selection Evolution. 24: 107. DOI: 10.1186/1297-9686-24-2-107 |
0.425 |
|
| 1992 |
Perez-Enciso M, Gianola D. Estimates of genetic parameters for litter size in six strains of Iberian pigs Livestock Production Science. 32: 283-293. DOI: 10.1016/S0301-6226(12)80007-8 |
0.422 |
|
| 1992 |
Foulley J, San Cristobal M, Gianola D, Im S. Marginal likelihood and Bayesian approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models Computational Statistics & Data Analysis. 13: 291-305. DOI: 10.1016/0167-9473(92)90137-5 |
0.42 |
|
| 1991 |
Weigel K, Gianola D, Tempelman R, Matos C, Chen I, Wang T, Bunge R, Lo L. Improving Estimates of Fixed Effects in a Mixed Linear Model Journal of Dairy Science. 74: 3174-3182. DOI: 10.3168/Jds.S0022-0302(91)78503-2 |
0.621 |
|
| 1990 |
Weller JI, Gianola D. Models for genetic analysis of dystocia and calf mortality. Journal of Dairy Science. 72: 2633-43. PMID 2600226 DOI: 10.3168/Jds.S0022-0302(89)79404-2 |
0.405 |
|
| 1990 |
Gianola D, Hammond K. Advances in statistical methods for genetic improvement of livestock Biometrics. 47: 789. DOI: 10.1007/978-3-642-74487-7 |
0.477 |
|
| 1989 |
Gianola D, Fernando RL, Im S, Foulley JL, Sotan I. Likelihood estimation of quantitative genetic parameters when selection occurs: Models and problems Genome. 31: 768-777. PMID 2632350 DOI: 10.1139/G89-136 |
0.435 |
|
| 1989 |
Hoeschele I, Gianola D. Bayesian Versus Maximum Quasi-Likelihood Methods for Sire Evaluation with Categorical Data Journal of Dairy Science. 72: 1569-1577. DOI: 10.3168/Jds.S0022-0302(89)79268-7 |
0.474 |
|
| 1989 |
Misztal I, Gianola D, Foulley J. Computing Aspects of a Nonlinear Method of Sire Evaluation for Categorical Data Journal of Dairy Science. 72: 1557-1568. DOI: 10.3168/Jds.S0022-0302(89)79267-5 |
0.341 |
|
| 1988 |
Weller JI, Misztal I, Gianola D. Genetic analysis of dystocia and calf mortality in Israeli-Holsteins by threshold and linear models. Journal of Dairy Science. 71: 2491-501. PMID 3183144 DOI: 10.3168/Jds.S0022-0302(88)79836-7 |
0.473 |
|
| 1988 |
Gianola D, Im S, Fernando R. Prediction of Breeding Value Under Henderson's Selection Model: A Revisitation Journal of Dairy Science. 71: 2790-2798. DOI: 10.3168/Jds.S0022-0302(88)79873-2 |
0.449 |
|
| 1988 |
Hoschele I, Rothschild M, Gianola D. Recursive Estimation of Breeding Values with Categorical Data Journal of Dairy Science. 71: 452-466. DOI: 10.3168/Jds.S0022-0302(88)79575-2 |
0.334 |
|
| 1988 |
Misztal I, Gianola D. Indirect Solution of Mixed Model Equations Journal of Dairy Science. 71: 99-106. DOI: 10.1016/S0022-0302(88)79987-7 |
0.369 |
|
| 1988 |
Fernando RL, Gianola D. Estimation of heritability by offspring-parent regression when observations do not have a common mean Theoretical and Applied Genetics. 75: 803-806. DOI: 10.1007/Bf00265608 |
0.335 |
|
| 1987 |
Foulley J, Im S, Gianola D, Höschele I. Empirical Bayes estimation of parameters for n polygenic binary traits. GéNÉTique, SÉLection, ÉVolution. 19: 197-224. PMID 22879281 DOI: 10.1186/1297-9686-19-2-197 |
0.334 |
|
| 1987 |
Meijering A, Gianola D. Observations on sire evaluation with categorical data using heteroscedastic mixed linear models. Journal of Dairy Science. 68: 1226-32. PMID 3842860 DOI: 10.3168/Jds.S0022-0302(85)80950-4 |
0.5 |
|
| 1987 |
Foulley JL, Gianola D. Sire evaluation for multiple binary responses when information is missing on some traits. Journal of Dairy Science. 69: 2681-95. PMID 3805449 DOI: 10.3168/Jds.S0022-0302(86)80715-9 |
0.445 |
|
| 1987 |
Carriquiry AL, Gianola D, Fernando RL. Mided-model analysis of a censored normal distribution with reference to animal breeding Biometrics. 43: 929-939. PMID 3509964 DOI: 10.2307/2531546 |
0.435 |
|
| 1987 |
Höschele I, Gianola D, Foulley JL. Estimation of variance components with quasi-continuous data using Bayesian methods Journal of Animal Breeding and Genetics. 104: 334-349. DOI: 10.1111/J.1439-0388.1987.Tb00141.X |
0.335 |
|
| 1987 |
Foulley JL, Gianola D, Im S. Genetic evaluation of traits distributed as Poisson-binomial with reference to reproductive characters Theoretical and Applied Genetics. 73: 870-877. DOI: 10.1007/Bf00289392 |
0.418 |
|
| 1986 |
Höschele I, Foulley J, Colleau J, Gianola D. Genetic evaluation for multiple binary responses. GéNÉTique, SÉLection, ÉVolution. 18: 299-320. PMID 22879249 DOI: 10.1186/1297-9686-18-3-299 |
0.363 |
|
| 1986 |
Fernando RL, Gianola D. Effect of assortative mating on genetic change due to selection Theoretical and Applied Genetics. 72: 395-404. DOI: 10.1007/Bf00288579 |
0.42 |
|
| 1986 |
Fernando RL, Gianola D. Optimal properties of the conditional mean as a selection criterion Theoretical and Applied Genetics. 72: 822-825. DOI: 10.1007/Bf00266552 |
0.342 |
|
| 1984 |
Knights SA, Baker RL, Gianola D, Gibb JB. Estimates of heritabilities and of genetic and phenotypic correlations among growth and reproductive traits in yearling Angus bulls. Journal of Animal Science. 58: 887-93. PMID 6725151 DOI: 10.2527/Jas1984.584887X |
0.445 |
|
| 1984 |
Fernando RL, Knights SA, Gianola D. On a method of estimating the genetic correlation between characters measured in different experimental units Theoretical and Applied Genetics. 67: 175-178. DOI: 10.1007/Bf00317027 |
0.433 |
|
| 1984 |
Fernando RL, Gianola D. Rules for assortative mating in relation to selection for linear merit functions Theoretical and Applied Genetics. 68: 227-237. DOI: 10.1007/Bf00266894 |
0.422 |
|
| 1983 |
Fernando R, Gianola D, Grossman M. Identifying All Connected Subsets in a Two-Way Classification Without Interaction Journal of Dairy Science. 66: 1399-1402. DOI: 10.3168/Jds.S0022-0302(83)81951-1 |
0.411 |
|
| 1983 |
Fernando RL, Billingsley RD, Gianola D. Effects of Method of Scaling on Heritability Estimates and Sire Evaluations for Frame Size at Weaning in Angus Cattle Journal of Animal Science. 56: 1047-1056. DOI: 10.2527/Jas1983.5651047X |
0.311 |
|
| 1982 |
Gianola D. Theory and Analysis of Threshold Characters Journal of Animal Science. 54: 1079-1096. DOI: 10.2527/Jas1982.5451079X |
0.44 |
|
| 1981 |
Gianola D. Genetic evaluation of animals for traits with categorical responses. Journal of Animal Science. 51: 1272-6. PMID 7204271 DOI: 10.2527/Jas1981.5161272X |
0.489 |
|
| 1981 |
Gianola D. A method of sire evaluation for dichotomies. Journal of Animal Science. 51: 1266-71. PMID 7204270 DOI: 10.2527/Jas1981.5161266X |
0.486 |
|
| 1980 |
Gianola D. Confidence Intervals for Ratios of Linear Functions of Mixed Models with Reference to Animal Breeding Data Journal of Animal Science. 50: 1051-1056. DOI: 10.2527/Jas1980.5061051X |
0.416 |
|
| 1979 |
Gianola D, Chapman AB, Rutledge JJ. Responses to selection for body weight in descendants of X-irradiated rats. Genetics. 91: 627-45. PMID 456888 |
0.5 |
|
| 1979 |
Gianola D. Analysis of Discrete Variables in Animal Breeding Contexts Journal of Dairy Science. 62: 1471-1478. DOI: 10.3168/Jds.S0022-0302(79)83449-9 |
0.406 |
|
| 1977 |
Gianola D, Chapman AB, Rutledge JJ. Estimates of genetic parameters of body weight in descendants of X-irradiated rat spermatogonia. Genetics. 86: 861-83. PMID 924136 |
0.582 |
|
| 1977 |
Gianola D, Chapman AB, Rutledge JJ. Effects of ancestral X irradiation followed by random mating on body weight of rats. Genetics. 86: 849-60. PMID 924135 |
0.468 |
|
| 1976 |
Gianola D, Chapman AB. Follicular population and body weight in relation to genetic differences in ovarian response to gonadotropin in rats. Journal of Animal Science. 42: 36-42. PMID 1248969 DOI: 10.2527/Jas1976.42136X |
0.546 |
|
| 1974 |
Gianola D, Tyler WJ. Influences on birth weight and gestation period of Holstein-Friesian cattle. Journal of Dairy Science. 57: 235-40. PMID 4852453 DOI: 10.3168/Jds.S0022-0302(74)84864-2 |
0.359 |
|
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