Hansen, P. B., Ruud, A. K., de Los Campos, G.
, Malinowska, M., Nagy, I., Svane, S. F., Thorup-Kristensen, K., Jensen, J. D., Krusell, L.
& Asp, T. (2022).
Integration of DNA Methylation and Transcriptome Data Improves Complex Trait Prediction in Hordeum vulgare.
Plants,
11(17), Article 2190.
https://doi.org/10.3390/plants11172190
Lund, P., Hojberg, O., Børsting, C. F., Nielsen, M. O., Villumsen, T. M. & Weisbjerg, M. R. (2022).
Muligheder for at begrænse metan fra drøvtyggere.
Vand & Jord, (3), 93-95.
http://vand-og-jord.dk/
Olesen, J. E., Munkholm, L. J., Kudsk, P., Gregersen, P. L., Kongsted, A. G., Børsting, C. F., Callesen, H., Sørensen, J. T., Henriksen, B. I. F., Woyengo, T. A., Villumsen, T. M., Rasmussen, M. D. & Andersen, M. N., (2022).
Notat om klimaforandringernes betydning for dansk landbrug, No. 2022-0431984, 35 p., Sept 23, 2022. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Marašinskienė, Š., Šveistienė, R., Kosińska-Selbi, B., Schmidtmann, C.
, Ettema, J. F., Juškienė, V.
& Kargo, M. (2022).
Application of a Bio-Economic Model to Demonstrate the Importance of Health Traits in Herd Management of Lithuanian Dairy Breeds.
Animals,
12(15), Article 1926.
https://doi.org/10.3390/ani12151926Zhang, H., Wang, K., An, T., Zhu, L., Chang, Y., Lou, W., Liu, L., Guo, G.
, Liu, A., Su, G., Brito, L. F. & Wang, Y. (2022).
Genetic parameters for dairy calf and replacement heifer wellness traits and their association with cow longevity and health indicators in Holstein cattle.
Journal of Dairy Science,
105(8), 6749-6759.
https://doi.org/10.3168/jds.2021-21450Consortium, V. G., Nijman, I. J., Rosen, B. D., Bardou, P., Faraut, T., Cumer, T., Daly, K. G., Zheng, Z., Cai, Y., Asadollahpour, H., Kul, B. Ç., Zhang, W.-Y., Guangxin, E., Ayin, A., Baird, H., Bakhtin, M., Bâlteanu, V. A., Barfield, D., Berger, B. ... Lenstra, J. A. (2022).
Geographical contrasts of Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions.
Molecular Ecology,
31(16), 4364-4380.
https://doi.org/10.1111/mec.16579Gredler-Grandl, B., Raymond, B., Schopen, G. C. B., Chitneedi, P. K.
, Cai, Z., Manzanilla Pech, C. I. V., Iso-Touru, T., Fischer, D., Bolormaa, S., Chud, T. C. S., Schenkel, F. S., Wang, Y., Li, C., Hailemariam, D., Villanueva, B., Fernandez, A., Kuehn, C.
, Sahana, G., Lidauer, M. ... Bouwman, A. C. (2022).
Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_010.pdfGebreyesus, G., Secher, J. B.-M.
, Lund, M. S., Kupisiewicz, K., Ivask, M.
& Su, G. (2022).
Bull effects on in vitro embryo production quality traits are repeatable and heritable. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/21_004.pdf
Nagy, I., Veeckman, E., Liu, C., Bel, M. V., Vandepoele, K., Jensen, C. S., Ruttink, T.
& Asp, T. (2022).
Chromosome-scale assembly and annotation of the perennial ryegrass genome.
BMC Genomics,
23(1), Article 505.
https://doi.org/10.1186/s12864-022-08697-0
Rome, H. J. S., Chu, T. T., Marois, D., Huang, C.-H.
, Madsen, P. & Jensen, J. (2022).
Estimating environmental direct-maternal covariance in real data – illustration on broilers. In
WCGALP 2022 Programme Book Wageningen Academic Publishers.
https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf
Martinez Boggio, G., Meynadier, A., Rupp, R., Allain, C.
, Buitenhuis, A. J. & Marie-Etancelin, C. (2022).
Evidence of genetic links between rumen bacteria and milk somatic cell score in Lacaune dairy sheep. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/66_004.pdfFang, F., Li, J., Guo, M.
, Mei, Q., Yu, M.
, Liu, H., Legarra, A. & Xiang, T. (2022).
Genomic evaluation and genome-wide association studies for total number of teats in a combined American and Danish Yorkshire pig populations selected in China.
Journal of Animal Science,
100(7), Article skac174.
https://doi.org/10.1093/jas/skac174Karaman, E., Milkevych, V., Cai, Z., Janss, L., Sahana, G. & Lund, M. S. (2022).
Genomic prediction with incomplete omics data. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/13_012.pdf
Tenhunen, S. R., Thomasen, J. R., Sørensen, L. P., Aamand, G. P.
, Berg, P. & Kargo, M. (2022).
Inbreeding and coancestry trends in Nordic Holstein. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/67_009.pdf
Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N.
, Kargo, M. & Puillet, L. (2022).
Mechanistic-based prediction of selection response on resilience and feed efficiency traits in dairy cattle. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/09_009.pdf
Ostersen, T., Henryon, M.
, Guo, X., Christensen, O. F., Su, G. & Sørensen, A. C. (2022).
Non-genetic correlations between production traits and litter traits in pigs are important to account for. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_015.pdfStephansen, R. B., Martin, P., Gredler-Grandl, B.
, Manzanilla Pech, C. I. V., Sahana, G., Ducrocq, V., Baes, C. F., Schenkel, F. S., Veerkamp, R.
& Lassen, J. (2022).
Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/14_014.pdf
Milkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z. & Lund, M. S. (2022).
Quantitative trait simulation using MeSCoT software. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/30_009.pdf
Martinez Boggio, G.
, Christensen, O. F., Legarra, A., Allain, C., Meynadier, A. & Marie-Etancelin, C. (2022).
Rumen bacteria do not provide improved genetic evaluation of dairy traits in sheep. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/05_009.pdfSchmidtmann, C.
, Slagboom, M., Sørensen, A. C., Hinrichs, D., Thaller, G.
& Kargo, M. (2022).
Short- and long-term consequences of collaboration between Northern European Red dairy and dual-purpose cattle.
Journal of Animal Breeding and Genetics,
139(4), 447-461.
https://doi.org/10.1111/jbg.12672Kargo, M., Nielsen, H. M., Østergaard, S., Kring, R. D.
, Slagboom, M., Clasen, J. B. & Thomasen, J. R. (2022).
Should we breed cows like pigs? A new organisation of dairy cattle breeding. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/45_007.pdf
Liu, H., Nielsen, H. M., Kargo, M., Thomasen, J. R., Berg, P., Slagboom, M., Sørensen, A. C.
& Milkevych, V. (2022).
Simulation of animal crossbreeding schemes using ADAM software. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/56_007.pdf
Hansen, L. S., Laursen, S. F., Bahrndorff, S.
, Kargo, M., Kristensen, T. N.
, Sahana, G., Sørensen, J. G. & Nielsen, H. M. (2022).
Towards selective breeding in insects – estimating genetic parameters with individual-level phenotypes and pedigree. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/53_010.pdf
Zhou, Y., Zhang, Z., Bao, Z., Li, H., Lyu, Y., Zan, Y., Wu, Y., Cheng, L., Fang, Y., Wu, K., Zhang, J., Lyu, H., Lin, T., Gao, Q., Saha, S., Mueller, L., Fei, Z., Städler, T., Xu, S. ... Huang, S. (2022).
Graph pangenome captures missing heritability and empowers tomato breeding.
Nature,
606(7914), 527-534.
https://doi.org/10.1038/s41586-022-04808-9Salunke, S., Ahuja, B., Hashmi, M. F., Marriboyina, V.
& Bokde, N. D. (2022).
5D Gauss Map Perspective to Image Encryption with Transfer Learning Validation.
Applied Sciences,
12(11), Article 5321.
https://doi.org/10.3390/app12115321Shende, M. K., Salih, S. Q.
, Bokde, N. D., Scholz, M., Oudah, A. Y. & Yaseen, Z. M. (2022).
Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package.
Applied Sciences (Switzerland),
12(12), Article 6194.
https://doi.org/10.3390/app12126194Sterenborg, R. B. T. M., Galesloot, T. E., Teumer, A., Netea-Maier, R. T.
, Speed, D., Meima, M. E., Visser, W. E., Smit, J. W. A., Peeters, R. P. & Medici, M. (2022).
The effects of common genetic variation in 96 genes involved in thyroid hormone regulation on TSH and FT4 concentrations.
The Journal of Clinical Endocrinology & Metabolism,
107(6), e2276-e2283.
https://doi.org/10.1210/clinem/dgac136Sammad, A., Zhang, H., Shi, R., Dong, Y., Luo, H., Chen, Z., Liu, L., Guo, G.
, Liu, A. & Wang, Y. (2022).
A Post-GWAS Functional Analysis Confirming Effects of Three BTA13 Genes CACNB2, SLC39A12, and ZEB1 on Dairy Cattle Reproduction.
Frontiers in Genetics,
13, Article 882951.
https://doi.org/10.3389/fgene.2022.882951Slagboom, M., Milkevych, V., Liu, H., Thomasen, J. R., Kargo, M. & Schmidtmann, C. (2022).
Conservation of local Red cattle breeds by collaboration with a mainstream Red dairy cattle breed.
Livestock Science,
260, Article 104936.
https://doi.org/10.1016/j.livsci.2022.104936
Eiríksson, J. H., Byskov, K.
, Su, G., Thomasen, J. R. & Christensen, O. F. (2022).
Genomic predictions for crossbred dairy cows by combining solutions from purebred evaluation based on breed origin of alleles.
Journal of Dairy Science,
105(6), 5178-5191.
https://doi.org/10.3168/jds.2021-21644
Velasco-Galilea, M.
, Buitenhuis, A. J., Ramayo-Caldas, Y., Ballester, M., Piles, M. & Sanchez, J. P. (2022).
GENOMIC REGIONS OF MEAT RABBIT INVOLVED IN THE VARIATION OF ITS CAECAL MICROBIOTA. In
46 Symposium de Cunicultura - Proceedings https://asescu.com/wp-content/uploads/2023/05/Libro-de-Actas_46-Symposium-Cunicultura-2022-1.pdfManzanilla Pech, C. I. V., Stephansen, R. B., Difford, G.
, Løvendahl, P. & Lassen, J. (2022).
Selecting for feed efficient cows will help to reduce methane gas emissions.
Frontiers in Genetics,
13, Article 885932.
https://doi.org/10.3389/fgene.2022.885932
Buitenhuis, A. J., Kongsted, H., Villumsen, T. M. & Lund, M. S., (2022).
Et resumé af Leverdrejning (lobus sinister lateralis) i grise: Et pilotstudie der undersøger, om der er en simpel genetisk baggrund, No. 2021-0237290, 6 p., May 12, 2022.
Croiseau, P., Saintilan, R., Baur, A., Croue, I., Ducrocq, V.
, Thomasen, J. R., Karaman, E., Boichard, D., Leclerc, H. & Cuyabano, B. C. D. (2022).
Accuracy of prediction for a genomic evaluation in rotational crossbreeding scheme (Montbéliarde x Holstein x Red Danish). In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_001.pdfChu, T. T., Zaalberg, R. M., Bovbjerg, H.
, Jensen, J. & Villumsen, T. M. (2022).
Genetic variation in piglet mortality in outdoor organic production systems.
Animal : an international journal of animal bioscience,
16(5), Article 100529.
https://doi.org/10.1016/j.animal.2022.100529
Lou, W.
, Zhang, H., Luo, H.
, Chen, Z., Shi, R.
, Guo, X., Zou, Y.
, Liu, L., Brito, L. F.
, Guo, G. & Wang, Y. (2022).
Genetic analyses of blood β-hydroxybutyrate predicted from milk infrared spectra and its association with longevity and female reproductive traits in Holstein cattle.
Journal of Dairy Science,
105(4), 3269-3281.
https://doi.org/10.3168/jds.2021-20389Barre, P.
, Asp, T., Byrne, S., Casler, M., Faville, M., Rognli, O. A., Roldan-Ruiz, I., Skøt, L. & Ghesquière, M. (2022).
Genomic Prediction of Complex Traits in Forage Plants Species: Perennial Grasses Case. In
Methods in Molecular Biology (pp. 521-541). Humana Press Inc.
https://doi.org/10.1007/978-1-0716-2205-6_19Bordbar, F., Mohammadabadi, M.
, Jensen, J., Xu, L., Li, J. & Zhang, L. (2022).
Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses.
Animals,
12(9), Article 1103.
https://doi.org/10.3390/ani12091103Chen, C. J., Garrick, D., Fernando, R.
, Karaman, E., Stricker, C., Keehan, M. & Cheng, H. (2022).
XSim Version 2: Simulation of Modern Breeding Programs.
G3: Genes, Genomes, Genetics,
12(4), Article jkac032.
https://doi.org/10.1093/g3journal/jkac032Mallawaarachchi, S., Tonkin-Hill, G., Croucher, N. J., Turner, P.
, Speed, D., Corander, J. & Balding, D. (2022).
Genome-wide association, prediction and heritability in bacteria with application to Streptococcus pneumoniae.
NAR Genomics & Bioinformatics,
4(1), Article lqac011.
https://doi.org/10.1093/nargab/lqac011Raffo, M. A., Sarup, P., Guo, X., Liu, H., Andersen, J. R., Orabi, J., Jahoor, A.
& Jensen, J. (2022).
Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis.
Theoretical and Applied Genetics,
135(3), 965-978.
https://doi.org/10.1007/s00122-021-04009-4
Liu, T., Luo, C., Ma, J., Wang, Y., Shu, D., Qu, H.
& Su, G. (2022).
Including dominance effects in the prediction model through locus-specific weights on heterozygous genotypes can greatly improve genomic predictive abilities.
Heredity,
128(3), 154-158.
https://doi.org/10.1038/s41437-022-00504-6
Alemu, S. W., Bijma, P., Calus, M. P. L.
, Liu, H., Fernando, R. L. & Dekkers, J. C. M. (2022).
Comparison of linkage disequilibrium estimated from genotypes versus haplotypes for crossbred populations.
Genetics Selection Evolution,
54(1), Article 12.
https://doi.org/10.1186/s12711-022-00703-zManzanilla Pech, C. I. V., Difford, G.
, Sahana, G., Rome, H. J. S., Løvendahl, P. & Lassen, J. (2022).
Genome-wide association study for methane emission traits in Danish Holstein cattle.
Journal of Dairy Science,
105(2), 1357-1368.
https://doi.org/10.3168/jds.2021-20410
Mesbah-Uddin, M., Guldbrandtsen, B., Capitan, A.
, Lund, M. S., Boichard, D.
& Sahana, G. (2022).
Genome-wide association study with imputed whole-genome sequence variants including large deletions for female fertility in 3 Nordic dairy cattle breeds.
Journal of Dairy Science,
105(2), 1298-1313.
https://doi.org/10.3168/jds.2021-20655
Zaalberg, R. M., Nielsen, H. M., Sorensen, A. C., Chu, T. T., Jensen, J. & Villumsen, T. M. (2022).
The Effect of Using Organic or Conventional Sires on Genetic Gain in Organic Pigs: A Simulation Study.
Animals,
12(4), Article 455.
https://doi.org/10.3390/ani12040455
Lu, X., Arbab, A. A. I., Abdalla, I. M., Liu, D., Zhang, Z., Xu, T.
, Su, G. & Yang, Z. (2022).
Genetic Parameter Estimation and Genome-Wide Association Study-Based Loci Identification of Milk-Related Traits in Chinese Holstein.
Frontiers in Genetics,
12, Article 799664.
https://doi.org/10.3389/fgene.2021.799664
Fois, M., Bellucci, A., Malinowska, M., Greve, M.
, Ruud, A. K. & Asp, T. (2022).
Genome-wide association mapping of crown and brown rust resistance in perennial ryegrass.
Genes,
13(1), Article 20.
https://doi.org/10.3390/genes13010020
Moeskjær, S., Skovbjerg, C. K., Tausen, M., Wind, R., Roulund, N.
, Janss, L. & Andersen, S. U. (2022).
Major effect loci for plant size before onset of nitrogen fixation allow accurate prediction of yield in white clover.
Theoretical and Applied Genetics,
135(1), 125-143.
https://doi.org/10.1007/s00122-021-03955-3
Raffo, M. A., Sarup, P. M., Andersen, J. R., Orabi, J., Jahoor, A.
& Jensen, J. (2022).
Genomic prediction for complex traits in wheat: a growth degree-days based reaction norm and multi-trait approach. Abstract from XVIIIth Eucarpia Biometrics in Plant Breeding Conference.
Islam, M. S., Van der Werf, JHJ., Henryon, M.
, Chu, T. T., Wood, B. J. & Hermesch, S. (2022).
Genotyping dead animals improves post-weaning survival of pigs in breeding programs. In
WCGALP2022 Programme book Wageningen Academic Publishers.
https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdfRaffo, M. A., Sarup, P. M., Andersen, J. R., Guo, X., Liu, H., Orabi, J., Jahoor, A.
& Jensen, J. (2022).
Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis. Abstract from Plant and Animal Genome - IWGSC.
Clasen, J. B., Nielsen, H. M., Hein, L., Johansen, K., Vestergaard, M. & Kargo, M. (2022).
Performance of first parity Holstein, Danish Red and their crosses in an experimental setting. In
Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP): Book of abstracts No. 28 (2022) (pp. 671). Wageningen Academic Publishers.
https://www.eaap2022.org/docs/AbstractBookEAAP.pdf
Poulsen, B. G., Ostersen, T.
, Nielsen, B. & Christensen, O. F. (2022).
Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding.
Genetics, selection, evolution : GSE,
54, Article 25.
https://doi.org/10.1186/s12711-022-00714-w
Kempe, R. M., Mehtiö, T., Leino, A.-M., Koivula, M., Pitkänen, T. J.
, Stephansen, R. B., Mäntysaari, P., Negussie, E., Pösö, J., Nielsen, U. S., Fikse, W. F., Aamand, G. P. & Lidauer, M. H. (2022).
Single-step genomic prediction for metabolic body weight of Nordic Red dairy cattle. In
WCGALP 2022: Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/14_005.pdfEconogene Consortium, Ajmone-Marsan, P., Bradley, D. G., Colli, L., Drögemüller, C., Lei, C., Mannen, H., Pompanon, F., Tosser-Klopp, G. & Jiang, Y. (2022).
Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions. In R. F. Veerkamp & Y. de Haas (Eds.),
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges (pp. 886-889). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-940-4_208Pan, Z., Yao, Y., Yin, H.
, Cai, Z., Wang, Y., Bai, L., Kern, C., Halstead, M., Chanthavixay, G., Trakooljul, N., Wimmers, K.
, Sahana, G., Su, G., Lund, M. S., Fredholm, M., Karlskov-Mortensen, P., Ernst, C. W., Ross, P., Tuggle, C. K. ... Zhou, H. (2021).
Pig genome functional annotation enhances the biological interpretation of complex traits and human disease.
Nature Communications,
12(1), Article 5848.
https://doi.org/10.1038/s41467-021-26153-7Madsen, M. D., van der Werf, J.
, Börner, V., Mulder, H. A. & Clark, S. (2021).
Estimation of macro- and micro-genetic environmental sensitivity in unbalanced datasets.
Animal,
15(12), Article 100411.
https://doi.org/10.1016/j.animal.2021.100411Atrian-Afiani, F., Gao, H., Joezy-Shekalgorabi, S.
, Madsen, P., Aminafshar, M., Ali, S.
& Jensen, J. (2021).
Genotype by climate zone interactions for fertility, somatic cell score, and production in Iranian Holsteins.
Journal of Dairy Science,
104(12), 12994-13007.
https://doi.org/10.3168/jds.2020-20084,
https://doi.org/10.3168/jds.2020-20084
Slagboom, M., Sørensen, A. C.
, Thomasen, J. R., Liu, H., Kargo, M. & Hjortø, L. (2021).
Ignoring genotype by environment interaction in the genetic evaluation of dairy cattle reduces accuracy but may increase selection intensity.
Journal of Dairy Science,
104(12), 12756-12764.
https://doi.org/10.3168/jds.2021-20876
Zhao, Q., Liu, H., Qadri, Q. R., Wang, Q., Pan, Y.
& Su, G. (2021).
Long-term impact of conventional and optimal contribution conservation methods on genetic diversity and genetic gain in local pig breeds.
Heredity,
127(6), 546-553.
https://doi.org/10.1038/s41437-021-00484-z
Washburn, J. D., Cimen, E.
, Ramstein, G., Reeves, T., O’Briant, P., McLean, G., Cooper, M., Hammer, G. & Buckler, E. S. (2021).
Predicting phenotypes from genetic, environment, management, and historical data using CNNs.
Theoretical and Applied Genetics,
134(12), 3997-4011.
https://doi.org/10.1007/s00122-021-03943-7Salimiyekta, Y., Vaez‐torshizi, R., Abbasi, M. A., Emmamjome‐kashan, N., Amin‐afshar, M.
, Guo, X. & Jensen, J. (2021).
Random regression model for genetic evaluation and early selection in the iranian holstein population.
Animals,
11(12), Article 3492.
https://doi.org/10.3390/ani11123492
