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. In 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 (Eds.),
Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science (pp. 521). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-918-3
Cao, L., Mulder, H. A.
, Liu, H., Nielsen, H. M. & S⊘rensen, A. C. (2021).
Competitive gene flow does not necessarily maximize the genetic gain of genomic breeding programs in the presence of genotype-by-environment interaction.
Journal of Dairy Science,
104(7), 8122-8134.
https://doi.org/10.3168/jds.2020-19823
Clasen, J. B., Kargo, M., Fikse, W. F., Strandberg, E., Wallenbeck, A.
, Østergaard, S. & Rydhmer, L. (2021).
Conservation of a native dairy cattle breed through terminal crossbreeding with commercial dairy breeds.
Acta Agriculturae Scandinavica, Section A - Animal Science,
70(1).
https://doi.org/10.1080/09064702.2020.1867632
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).
Contrasting Manual and Automated Assessment of Thermal Stress Responses and Larval Body Size in Black Soldier Flies and Houseflies.
Insects,
12(5), Article 380.
https://doi.org/10.3390/insects12050380Laursen, 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. Dataset, Dryad Digital Repository.
https://doi.org/10.5061/dryad.cjsxksn5pSchmidtmann, C., Thaller, G.
, Kargo, M., Hinrichs, D. & Ettema, J. (2021).
Derivation of economic values for German dairy breeds by means of a bio-economic model—with special emphasis on functional traits.
Journal of Dairy Science,
104(3), 3144-3157.
https://doi.org/10.3168/jds.2019-17635Johannsen, I., Kilsgaard, B., Milkevych, V. & Moore, D. (2021).
Design, modelling, and experimental validation of a scalable continuous-flow hydrothermal liquefaction pilot plant.
Processes,
9(2), 1-18. Article 234.
https://doi.org/10.3390/pr9020234
Stephansen, R. B., Lassen, J., Ettema, J. F., Sørensen, L. P. & Kargo, M. (2021).
Economic value of residual feed intake in dairy cattle breeding goals.
Livestock Science,
253, Article 104696.
https://doi.org/10.1016/j.livsci.2021.104696
Houlahan, K., Schenkel, F. S., Hailemariam, D.
, Lassen, J., Kargo, M., Cole, J. B., Connor, E. E., Wegmann, S., Oliveira, G. A., Miglior, F., Fleming, A., Chud, T. C. S. & Baes, C. F. (2021).
Effects of incorporating dry matter intake and residual feed intake into a selection index for dairy cattle using deterministic modeling.
Animals,
11(4), Article 1157.
https://doi.org/10.3390/ani11041157Olijhoek, 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 presented at Meeting in iClimate.
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), Article skab234.
https://doi.org/10.1093/jas/skab234
Madsen, 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.2021.100411Christensen, B., Zachariae, E. D., Poulsen, N. A., Buitenhuis, A. J., Larsen, L. B. & Sørensen, E. S. (2021).
Factors influencing milk osteopontin concentration based on measurements from Danish Holstein cows.
Journal of Dairy Research,
88(1), 89 - 94.
https://doi.org/10.1017/S0022029921000054
Zaalberg, R. M., Poulsen, N. A., Bovenhuis, H.
, Sehested, J., Larsen, L. B. & Buitenhuis, A. J. (2021).
Genetic analysis on infrared-predicted milk minerals for Danish dairy cattle.
Journal of Dairy Science,
104(8), 8947-8958.
https://doi.org/10.3168/jds.2020-19638
Clasen, J. B.
, Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2021).
Genetic consequences of terminal crossbreeding, genomic test, sexed semen, and beef semen in dairy herds.
Journal of Dairy Science,
104(7), 8062-8075.
https://doi.org/10.3168/jds.2020-20028Zhang, H.
, Liu, A., Wang, Y., Luo, H., Yan, X.
, Guo, X., Li, X., Liu, L.
& Su, G. (2021).
Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins.
Frontiers in Genetics,
12, Article 634986.
https://doi.org/10.3389/fgene.2021.634986/fullGao, H., Su, G., Jensen, J., Madsen, P., Christensen, O. F., Ask, B.
, Poulsen, B. G., Ostersen, T.
& Nielsen, B. (2021).
Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs.
Genetics Selection Evolution,
53(1), Article 33.
https://doi.org/10.1186/s12711-021-00624-3
Luo, H., Brito, L. F., Li, X.
, Su, G., Dou, J., Xu, W., Yan, X., Zhang, H., Guo, G., Liu, L. & Wang, Y. (2021).
Genetic parameters for rectal temperature, respiration rate, and drooling score in Holstein cattle and their relationships with various fertility, production, body conformation, and health traits.
Journal of Dairy Science,
104(4), 4390-4403.
https://doi.org/10.3168/jds.2020-19192Luo, H., Li, X., Hu, L., Xu, W., Chu, Q.
, Liu, A., Guo, G., Liu, L., Brito, L. F. & Wang, Y. (2021).
Genomic analyses and biological validation of candidate genes for rectal temperature as an indicator of heat stress in Holstein cattle.
Journal of Dairy Science,
104(4), 4441-4451.
https://doi.org/10.3168/jds.2020-18725Stephansen, 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. In
Interbull Bulletin: Proceedings of the 2021 Interbull Meeting (Vol. 56 (2021), pp. 162-166)
https://journal.interbull.org/index.php/ib/article/view/66
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 from 72nd Annual Meeting of the European Federation of Animal Science, Davos, Switzerland.
Shi, S., Li, X., Fang, L.
, Liu, A., Su, G., Zhang, Y., Luobu, B., Ding, X. & Zhang, S. (2021).
Genomic Prediction Using Bayesian Regression Models With Global-Local Prior.
Frontiers in Genetics,
12, Article 628205.
https://doi.org/10.3389/fgene.2021.628205Villumsen, T. M., Su, G., Guldbrandtsen, B.
, Asp, T. & Lund, M. S. (2021).
Genomic selection in American mink (Neovison vison) using a single-step genomic best linear unbiased prediction model for size and quality traits graded on live mink.
Journal of Animal Science,
99(1), Article skab003.
https://doi.org/10.1093/jas/skab003
Atrian-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
Shi, R., Brito, L. F.
, Liu, A., Luo, H., Chen, Z., Liu, L., Guo, G., Mulder, H., Ducro, B., van der Linden, A. & Wang, Y. (2021).
Genotype-by-environment interaction in Holstein heifer fertility traits using single-step genomic reaction norm models.
BMC Genomics,
22(1), Article 193.
https://doi.org/10.1186/s12864-021-07496-3Cuyabano, B. C. D.
, Rovere, G., Lim, D., Kim, T. H., Lee, H. K., Lee, S. H. & Gondro, C. (2021).
GPS coordinates for modelling correlated herd effects in genomic prediction models applied to Hanwoo beef cattle.
Animals,
11(7), Article 2050.
https://doi.org/10.3390/ani11072050Jørgensen, 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 No. 193
https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480
Kargo, M., Clasen, J. B., Nielsen, H. M., Byskov, K.
& Norberg, E. (2021).
Heterosis and breed effects for milk production and udder health traits in crosses between Danish Holstein, Danish Red, and Danish Jersey.
Journal of Dairy Science,
104(1), 678-682.
https://doi.org/10.3168/jds.2019-17866
Mei, Q., Fu, C.
, Sahana, G., Chen, Y., Yin, L., Miao, Y., Zhao, S. & Xiang, T. (2021).
Identification of new semen trait-related candidate genes in Duroc boars through genome-wide association and weighted gene co-expression network analyses.
Journal of Animal Science,
99(7), Article skab188.
https://doi.org/10.1093/jas/skab188Slagboom, 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
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), Article 835.
https://doi.org/10.3390/ani11030835Zhao, 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
Milkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z. & Lund, M. S. (2021).
MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions.
G3 (Bethesda, Md.),
11(7), Article jkab133.
https://doi.org/10.1093/g3journal/jkab133
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), Article 753.
https://doi.org/10.3390/metabo11110753
Pan, 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/s41467-021-26153-7Washburn, 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/s00122-021-03943-7Ma, X., Christensen, O. F., Gao, H., Huang, R.
, Nielsen, B., Madsen, P., Jensen, J., Ostersen, T., Li, P.
, Shirali, M. & Su, G. (2021).
Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait.
Heredity,
126(1), 206-217.
https://doi.org/10.1038/s41437-020-0339-3
Hjortø, L., Henryon, M.
, Liu, H., Berg, P., Thomasen, J. R. & Sørensen, A. C. (2021).
Pre-selection against a lethal recessive allele in breeding schemes with optimum-contribution selection or truncation selection.
Genetics Selection Evolution,
53, Article 75.
https://doi.org/10.1186/s12711-021-00669-4
Kramer, L. M., Wolc, A.
, Esfandyari, H., Thekkoot, D. M., Zhang, C., Kemp, R. A., Plastow, G. & Dekkers, J. C. M. (2021).
Purebred-crossbred genetic parameters for reproductive traits in swine.
Journal of Animal Science,
99(10), Article skab270.
https://doi.org/10.1093/jas/skab270Salimiyekta, 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
Li, Y., Pu, L., Shi, L.
, Gao, H., Zhang, P., Wang, L. & Zhao, F. (2021).
Revealing New Candidate Genes for Teat Number Relevant Traits in Duroc Pigs Using Genome-Wide Association Studies.
Animals,
11(3), Article 806.
https://doi.org/10.3390/ani11030806Ask, B., Pedersen, L. V.
, Christensen, O. F., Nielsen, H. M., Turner, S. P.
& Nielsen, B. (2021).
Selection for social genetic effects in purebreds increases growth in crossbreds.
Genetics, selection, evolution : GSE,
53(1), Article 15.
https://doi.org/10.1186/s12711-021-00609-2Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G.
& Guldbrandtsen, B. (2021).
Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle.
Journal of Animal Science,
99(7), Article skab139.
https://doi.org/10.1093/jas/skab139
De, T., Goncalves, A.
, Speed, D., Froguel, P., NFBC consortium, Gaffney, D. J., Johnson, M. R., Jarvelin, M.-R. & Coin, L. J. (2021).
Signatures of TSPAN8 variants associated with human metabolic regulation and diseases.
iScience,
24(8), Article 102893.
https://doi.org/10.1016/j.isci.2021.102893Zhu, Z., Difford, G., Noel, S. J., Lassen, J., Løvendahl, P. & Hojberg, O. (2021).
Stability Assessment of the Rumen Bacterial and Archaeal Communities in Dairy Cows Within a Single Lactation and Its Association With Host Phenotype.
Frontiers in Microbiology,
12, Article 636223.
https://doi.org/10.3389/fmicb.2021.636223
Chu, T. T., Henryon, M.
, Jensen, J., Ask, B.
& Christensen, O. F. (2021).
Statistical model and testing designs to increase response to selection with constrained inbreeding in genomic breeding programs for pigs affected by social genetic effects.
Genetics Selection Evolution,
53(1), Article 1.
https://doi.org/10.1186/s12711-020-00598-8
Ahmad, S., Drag, M. H., Salleh, S. M.
, Cai, Z. & Nielsen, M. O. (2021).
Transcriptomics analysis of differentially expressed genes in subcutaneous and perirenal adipose tissue of sheep as affected by their pre- and early postnatal malnutrition histories.
BMC Genomics,
22(1), Article 338.
https://doi.org/10.1186/s12864-021-07672-5
Bauer, M., Glenn, T., Achtyes, E. D., Alda, M., Agaoglu, E., Altınbaş, K., Andreassen, O. A., Angelopoulos, E., Ardau, R., Vares, E. A., Aydin, M., Ayhan, Y., Baethge, C., Bauer, R., Baune, B. T., Balaban, C., Becerra-Palars, C., Behere, A. P., Behere, P. B. ... Whybrow, P. C. (2021).
Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder.
International Journal of Bipolar Disorders,
9(1), Article 26.
https://doi.org/10.1186/s40345-021-00231-7Gebreyesus, G., Poulsen, N. A., Larsen, M. K., Larsen, L. B., Sørensen, E. S., Würtz Heegaard, C. & Buitenhuis, A. J. (2021).
Vitamin B12 and transcobalamin in bovine milk: Genetic variation and genome-wide association with loci along the genome.
JDS Communications ,
2(3), 127-131.
https://doi.org/10.3168/jdsc.2020-0048
Islam, M. S., Jensen, J., Løvendahl, P., Karlskov-Mortensen, P.
& Shirali, M. (2020).
Bayesian estimation of genetic variance and response to selection on linear or ratio traits of feed efficiency in dairy cattle.
Journal of Dairy Science,
103(10), 9150-9166.
https://doi.org/10.3168/jds.2019-17137
Zhang, Q., Difford, G., Sahana, G., Løvendahl, P., Lassen, J., Lund, M. S., Guldbrandtsen, B. & Janss, L. (2020).
Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows.
The ISME Journal,
14(8), 2019-2033.
https://doi.org/10.1038/s41396-020-0663-x
Macedo, F. L.
, Christensen, O. F., Astruc, J.-M., Aguilar, I., Masuda, Y. & Legarra, A. (2020).
Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups.
Genetics, selection, evolution : GSE,
52(1), Article 47.
https://doi.org/10.1186/s12711-020-00567-1Difford, G. F., Løvendahl, P., Veerkamp, R. F., Bovenhuis, H., Visker, M. H. P. W., Lassen, J. & de Haas, Y. (2020).
Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows? Journal of Dairy Science,
103(3), 2442-2459.
https://doi.org/10.3168/jds.2019-16966
Ba, H.
, Cai, Z., Gao, H., Qin, T., Liu, W., Xie, L., Zhang, Y., Jing, B., Wang, D. & Li, C. (2020).
Chromosome-level genome assembly of Tarim red deer, Cervus elaphus yarkandensis.
Scientific Data,
7(1), Article 187.
https://doi.org/10.1038/s41597-020-0537-0Madsen, M. D., Villumsen, T. M., Hansen, B. K.
, Møller, S. H., Jensen, J. & Shirali, M. (2020).
Combined analysis of group recorded feed intake and individually recorded body weight and litter size in mink.
Animal : an international journal of animal bioscience,
14(9), 1793-1801.
https://doi.org/10.1017/S1751731120000762
Wang, X., Su, G., Hao, D., Lund, M. S. & Kadarmideen, H. N. (2020).
Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations.
Journal of Animal Science and Biotechnology,
11(1), Article 3.
https://doi.org/10.1186/s40104-019-0407-9
Cui, X., Zhang, S., Zhang, Q.
, Guo, X., Wu, C., Yao, M. & Sun, D. (2020).
Comprehensive MicroRNA Expression Profile of the Mammary Gland in Lactating Dairy Cows With Extremely Different Milk Protein and Fat Percentages.
Frontiers in Genetics,
11, Article 548268.
https://doi.org/10.3389/fgene.2020.548268Christensen, O. F., Nielsen, B., Su, G., Xiang, T., Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2020).
Correction to: A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.
Genetics, selection, evolution : GSE,
52(1), Article 23.
https://doi.org/10.1186/s12711-020-00541-x
Cagnano, G., Vázquez-De-Aldana, B. R.
, Asp, T., Roulund, N., Jensen, C. S. & Soto-Barajas, M. C. (2020).
Determination of loline alkaloids and mycelial biomass in endophyte-infected schedonorus pratensis by near-infrared spectroscopy and chemometrics.
Microorganisms,
8(5), Article 776.
https://doi.org/10.3390/microorganisms8050776
Cai, Z., Dusza, M.
, Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2020).
Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle.
Genetics, selection, evolution : GSE,
52(1), Article 19.
https://doi.org/10.1186/s12711-020-00538-6
Wang, L., Janss, L. L., Madsen, P., Henshall, J., Huang, C.-H., Marois, D.
, Alemu, S., Sørensen, A. C. & Jensen, J. (2020).
Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices.
Genetics, selection, evolution : GSE,
52(1), Article 31.
https://doi.org/10.1186/s12711-020-00550-w
Esfandyari, H., Fè, D., Tessema, B. B., Janss, L. L. & Jensen, J. (2020).
Effects of different strategies for exploiting genomic selection in perennial ryegrass breeding programs.
G3: Genes, Genomes, Genetics,
10(10), 3783-3795.
https://doi.org/10.1534/g3.120.401382
Skovbjerg, C. K., Knudsen, J. N., Füchtbauer, W.
, Stougaard, J., Stoddard, F. L.
, Janss, L. & Andersen, S. U. (2020).
Evaluation of yield, yield stability, and yield–protein relationship in 17 commercial faba bean cultivars.
Legume Science,
2(3), Article e39.
https://doi.org/10.1002/leg3.39
Dettmann, F., Warner, D.
, Buitenhuis, B., Kargo, M., Kjeldsen, A. M. H., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2020).
Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving.
Animals,
10(11), 1-14. Article 1958.
https://doi.org/10.3390/ani10111958Forte, F. P., Schmid, J., Dijkwel, P. P.
, Nagy, I., Hume, D. E., Johnson, R. D., Simpson, W. R., Monk, S. M., Zhang, N., Sehrish, T.
& Asp, T. (2020).
Fungal Endophyte Colonization Patterns Alter Over Time in the Novel Association Between Lolium perenne and Epichloë Endophyte AR37.
Frontiers in Plant Science,
11, Article 570026.
https://doi.org/10.3389/fpls.2020.570026
Zaalberg, R. M., Buitenhuis, A. J., Sundekilde, U. K., Poulsen, N. A. & Bovenhuis, H. (2020).
Genetic analysis of orotic acid predicted with Fourier transform infrared milk spectra.
Journal of Dairy Science,
103(4), 3334-3348.
https://doi.org/10.3168/jds.2018-16057
Chu, T. T., Madsen, P., Norberg, E., Wang, L., Marois, D., Henshall, J.
& Jensen, J. (2020).
Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment.
Journal of Animal Breeding and Genetics (Online),
137(2), 245-259.
https://doi.org/10.1111/jbg.12448
Zaalberg, R. M., Bovenhuis, H.
, Poulsen, N. A., Larsen, L. B., Sehested, J. & Buitenhuis, A. J. (2020).
Genetic analysis on minerals predicted with Fourier transform infrared milk spectra for two Danish dairy cattle breeds. Abstract from 71st Annual Meeting of European Federation of Animal Science.
https://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-900-8
