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. I
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/09_009.pdf
Barre, 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. I
Methods in Molecular Biology (s. 521-541). Humana Press Inc.
https://doi.org/10.1007/978-1-0716-2205-6_19
Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G. & Guldbrandtsen, B. (2022).
Corrigendum: Short communication: Investigation of the feasibility of genomic selection in Icelandic cattle (Journal of Animal Science (2021) 99:7 DOI: 10.1093/jas/skab139).
Journal of Animal Science,
100(2), Artikel skac016.
https://doi.org/10.1093/jas/skac016
Sawant, M., Patil, R., Shikhare, T., Nagle, S., Chavan, S., Negi, S.
& Bokde, N. D. (2022).
A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction.
Energies,
15(21), Artikel 8107.
https://doi.org/10.3390/en15218107
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/s41586-022-04808-9
Zhang, 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.2021-21450
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), Artikel 455.
https://doi.org/10.3390/ani12040455
Yao, Y., Liu, S., Xia, C., Gao, Y., Pan, Z., Canela-Xandri, O., Khamseh, A., Rawlik, K., Wang, S., Li, B.
, Zhang, Y., Pairo-Castineira, E., D’Mellow, K., Li, X., Yan, Z., Li, C. J., Yu, Y., Zhang, S.
, Ma, L. ... Tenesa, A. (2022).
Comparative transcriptome in large-scale human and cattle populations.
Genome Biology,
23(1), Artikel 176.
https://doi.org/10.1186/s13059-022-02745-4
Yang, W., Yu, J., Yao, Y., Chen, S., Zhao, B., Liu, S., Zhou, L.
, Fang, L. & Liu, J. (2022).
Comparative immune-relevant transcriptome reveals the evolutionary basis of complex traits.
iScience,
25(12), Artikel 105572.
https://doi.org/10.1016/j.isci.2022.105572
Wang, B., Li, P., Hou, L., Zhou, W., Tao, W., Liu, C., Liu, K., Niu, P., Zhang, Z., Li, Q.
, Su, G. & Huang, R. (2022).
Genome-wide association study and genomic prediction for intramuscular fat content in Suhuai pigs using imputed whole-genome sequencing data.
Evolutionary Applications,
15(12), 2054-2066.
https://doi.org/10.1111/eva.13496
Sterenborg, 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/dgac136
Slagboom, 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, Artikel 104936.
https://doi.org/10.1016/j.livsci.2022.104936
Shi, L., Wang, L.
, Fang, L., Li, M., Tian, J., Wang, L. & Zhao, F. (2022).
Integrating genome-wide association studies and population genomics analysis reveals the genetic architecture of growth and backfat traits in pigs.
Frontiers in Genetics,
13, Artikel 1078696.
https://doi.org/10.3389/fgene.2022.1078696
Shende, 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), Artikel 6194.
https://doi.org/10.3390/app12126194
Schmidtmann, 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.12672
Sammad, 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, Artikel 882951.
https://doi.org/10.3389/fgene.2022.882951
Salunke, 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), Artikel 5321.
https://doi.org/10.3390/app12115321
Raffo, 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
Raffo, M. A., Sarup, P., Andersen, J. R., Orabi, J., Jahoor, A.
& Jensen, J. (2022).
Integrating a growth degree-days based reaction norm methodology and multi-trait modeling for genomic prediction in wheat.
Frontiers in Plant Science,
13, Artikel 939448.
https://doi.org/10.3389/fpls.2022.939448
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, Artikel 25.
https://doi.org/10.1186/s12711-022-00714-w
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), Artikel 505.
https://doi.org/10.1186/s12864-022-08697-0
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
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
Martinez Boggio, G., Meynadier, A.
, Buitenhuis, A. J. & Marie-Etancelin, C. (2022).
Host genetic control on rumen microbiota and its impact on dairy traits in sheep.
Genetics, selection, evolution : GSE,
54(1), Artikel 77.
https://doi.org/10.1186/s12711-022-00769-9
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), Artikel 1926.
https://doi.org/10.3390/ani12151926
Manzanilla Pech, C. I. V., Difford, G.
, Stephansen, R. B., Løvendahl, P. & Lassen, J. (2022).
Genetic (co-)variation of methane emissions, efficiency and production traits in Danish Holstein cattle along and across lactations.
Journal of Dairy Science,
105(12), 9799-9809.
https://doi.org/10.3168/jds.2022-22121
Manzanilla 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
Manzanilla 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, Artikel 885932.
https://doi.org/10.3389/fgene.2022.885932
Mallawaarachchi, 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 and bioinformatics,
4(1), Artikel lqac011.
https://doi.org/10.1093/nargab/lqac011
Malinowska, M., Ruud, A. K.
, Jensen, J., Svane, S. F., Smith, A. G., Bellucci, A., Lenk, I.
, Nagy, I., Fois, M., Didion, T., Thorup-Kristensen, K., Jensen, C. S.
& Asp, T. (2022).
Relative importance of genotype, gene expression, and DNA methylation on complex traits in perennial ryegrass.
The Plant Genome,
15(4), Artikel e20253.
https://doi.org/10.1002/tpg2.20253
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/
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, Artikel 799664.
https://doi.org/10.3389/fgene.2021.799664
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.2021-20389
Liu, S., Gao, Y., Canela-Xandri, O., Wang, S., Yu, Y., Cai, W., Li, B., Xiang, R., Chamberlain, A. J., Pairo-Castineira, E., D'Mellow, K., Rawlik, K., Xia, C., Yao, Y., Navarro, P., Rocha, D., Li, X., Yan, Z., Li, C.
... Fang, L. (2022).
A multi-tissue atlas of regulatory variants in cattle.
Nature Genetics,
54(9), 1438-1447.
https://doi.org/10.1038/s41588-022-01153-5
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
Kotlarz, K., Kosinska-Selbi, B.
, Cai, Z., Sahana, G. & Szyda, J. (2022).
Application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary statistics from a whole-genome association study.
Genetics Selection Evolution,
54, Artikel 80.
https://doi.org/10.1186/s12711-022-00771-1
Kingsley, N. B., Sandmeyer, L., Norton, E. M.
, Speed, D., Dwyer, A., Lassaline, M., McCue, M. & Bellone, R. R. (2022).
Heritability of insidious uveitis in Appaloosa horses.
Animal Genetics,
53(6), 872-877.
https://doi.org/10.1111/age.13267
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), Artikel 2190.
https://doi.org/10.3390/plants11172190
Grace, C. A., Sousa Carvalho, K. S., Sousa Lima, M. I., Costa Silva, V., Reis-Cunha, J. L., Brune, M. J., Forrester, S., Pedrozo E Silva de Azevedo, C. D. M., Costa, D. L.
, Speed, D., Mottram, J. C., Jeffares, D. C. & Costa, C. H. N. (2022).
Parasite Genotype Is a Major Predictor of Mortality from Visceral Leishmaniasis.
mBio,
13(6), e0206822.
https://doi.org/10.1128/mbio.02068-22
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), Artikel 20.
https://doi.org/10.3390/genes13010020
Fang, 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), Artikel skac174.
https://doi.org/10.1093/jas/skac174
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
Eiríksson, J. H., Strandén, I.
, Su, G., Mäntysaari, E. A.
& Christensen, O. F. (2022).
Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows.
Journal of Dairy Science,
105(12), 9822-9836.
https://doi.org/10.3168/jds.2022-22225
Dharmateja, P., Yadav, R., Kumar, M., Babu, P., Jain, N., Mandal, P. K., Pandey, R., Shrivastava, M., Gaikwad, K. B., Bainsla, N. K., Tomar, V., Sugumar, S., Saifi, N. & Ranjan, R. (2022).
Genome-wide association studies reveal putative QTLs for physiological traits under contrasting phosphorous conditions in wheat (Triticum aestivum L.).
Frontiers in Genetics,
13, Artikel 984720.
https://doi.org/10.3389/fgene.2022.984720
Consortium, 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.16579
Chu, 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), Artikel 100529.
https://doi.org/10.1016/j.animal.2022.100529
Chen, S., Liu, S., Shi, S., Jiang, Y., Cao, M., Tang, Y., Li, W., Liu, J.
, Fang, L., Yu, Y. & Zhang, S. (2022).
Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits.
BMC Biology,
20(1), 273. Artikel 273.
https://doi.org/10.1186/s12915-022-01459-0
Chen, 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), Artikel jkac032.
https://doi.org/10.1093/g3journal/jkac032
Cai, Z., Christensen, O. F., Lund, M. S., Ostersen, T.
& Sahana, G. (2022).
Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans.
BMC Genomics,
23, Artikel 133.
https://doi.org/10.1186/s12864-022-08373-3
Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N.
, Kargo, M. & Puillet, L. (2022).
Coupling genetic and mechanistic models to benchmark selection strategies for feed efficiency in dairy cows: sensitivity analysis validating this novel approach.
Animal - Open Space,
1(1), Artikel 100017.
https://doi.org/10.1016/j.anopes.2022.100017
Bornhofen, E., Fè, D., Lenk, I., Greve, M., Didion, T., Jensen, C. S.
, Asp, T. & Janss, L. (2022).
Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models.
The Plant Genome,
15(4), Artikel e20255.
https://doi.org/10.1002/tpg2.20255
Bordbar, 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), Artikel 1103.
https://doi.org/10.3390/ani12091103
Bolormaa, S., MacLeod, I. M., Khansefid, M., Marret, L., Wales, B., Miglior, F., Baes, C. F., Schenkel, F. S., Connor, E. E.
, Manzanilla Pech, C. I. V., Coffey, M., Stothard, P., Herman, E., Nieuwhof, G. J., Goddard, M. E. & Pryce, J. (2022).
Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.
Genetics Selection Evolution,
54(60), Artikel 60 (2022).
https://doi.org/10.1186/s12711-022-00749-z
Bengtsson, C.
, Thomasen, J. R., Kargo, M., Bouquet, A. & Slagboom, M. (2022).
Emphasis on resilience in dairy cattle breeding: Possibilities and consequences.
Journal of Dairy Science,
105(9), 7588-7599.
https://doi.org/10.3168/jds.2021-21049
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), Artikel 12.
https://doi.org/10.1186/s12711-022-00703-z
Laursen, S. F.
, Hansen, L. S., Bahrndorff, S.
, Nielsen, H. M., Noer, N. K., Renault, D.
, Sahana, G., Sørensen, J. G. & Kristensen, T. N. (2021).
Data on: contrasting manual and automated assessment of larval body size and thermal stress responses in black soldier flies and houseflies. Datasæt, Dryad Digital Repository.
https://doi.org/10.5061/dryad.cjsxksn5p
Olesen, J. E., Ingvartsen, K. L., Williams, M. H., Hertel, O., Jacobsen, C. S., Lund, M. S., Bach, H. & Halberg, N. (2021).
Besparelser rammer grøn forskning på Aarhus Universitet: Er politikerne overhovedet klar over konsekvenserne? Altinget.
https://www.altinget.dk/forskning/artikel/forskere-nedskaeringer-i-forskningskapacitet-koster-paa-den-groenne-omstilling
Eiríksson, J. H., Byskov, K., Thomassen, J. R.
, Su, G. & Christensen, O. F. (2021).
Genomic predictions of crossbred dairy cows based on breed of origin of alleles. 520-520. Abstract fra 72nd Annual Meeting of the European Federation of Animal Science, Davos, Schweiz.
Olijhoek, D., Hellwing, A. L. F., Lund, P., Weisbjerg, M. R., Løvendahl, P. & Børsting, C. F. (2021).
Enteric methane emission of Holstein and Jersey dairy cows at high dietary concentrate proportions. Poster session præsenteret på Meeting in iClimate.
Johansen, K., Hein, L., Spleth, P.
, Vestergaard, M., Nielsen, H. M. & Kargo, M. (2021).
Comparing growth and feed intake in pure- and crossbred heifers fed different energy concentrations. I E. Strandberg, L. Pinotti, S. Messori, D. Kenny, M. Lee, J. F. Hocquette, V. A. P. Cadavez, S. Millet, R. Evans, T. Veldkamp, M. Pastell & G. Pollott (red.),
Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science (s. 521). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-918-3
Stephansen, R. B., Lidauer, M., Nielsen, U. S., Pösö, J., Fikse, F.
, Manzanilla Pech, C. I. V. & Aamand, G. P. (2021).
Genomic prediction of residual feed intake in the Nordic breeds using data from research herds and 3D cameras in commercial herds. I
Interbull Bulletin: Proceedings of the 2021 Interbull Meeting (Bind 56 (2021), s. 162-166)
https://journal.interbull.org/index.php/ib/article/view/66
Jørgensen, U., Kristensen, T., Jørgensen, J. R., Kongsted, A. G., De Notaris, C., Nielsen, C., Mortensen, E. Ø., Ambye-Jensen, M., Jensen, S. K., Stødkilde-Jørgensen, L., Dalsgaard, T. K., Møller, A. H., Grøn Sørensen, C., Asp, T., Lehmann Olsen, F. & Gylling, M. (2021).
Green biorefining of grassland biomass. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Nr. 193
https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480
Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G. & Guldbrandtsen, B. (2021).
Erratum to: Short communication: investigation of the feasibility of genomic selection in Icelandic Cattle.
Journal of Animal Science,
99(8), Artikel skab234.
https://doi.org/10.1093/jas/skab234
Mohammadabadi, M., Bordbar, F.
, Jensen, J., Du, M. & Guo, W. (2021).
Key genes regulating skeletal muscle development and growth in farm animals.
Animals,
11(3), Artikel 835.
https://doi.org/10.3390/ani11030835
Hao, D., Bai, J., Du, J., Wu, X.
, Thomsen, B., Gao, H.
, Su, G. & Wang, X. (2021).
Overview of metabolomic analysis and the integration with multi-omics for economic traits in cattle.
Metabolites,
11(11), Artikel 753.
https://doi.org/10.3390/metabo11110753