Aarhus Universitets segl

Publikationer

Peer-reviewed publikationer ved QGG

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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
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
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(1), Artikel 60. https://doi.org/10.1186/s12711-022-00749-z
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
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
Saintilan, R., Croiseau, P., 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). I Proceedings of the 2022 Interbull Meeting (s. 18-22) https://journal.interbull.org/index.php/ib
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
Manzanilla Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2022). Breeding for feed efficient and low methane-emitting dairy cows is feasible. Abstract fra 73rd Annual Meeting of the European Federation of Animal Science, Porto, Portugal.
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
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
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
Gredler-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. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_010.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), Artikel 505. https://doi.org/10.1186/s12864-022-08697-0
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. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/66_004.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. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/05_009.pdf
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
Jensen, J. (2022). Word of thanks to professor Ignacy Misztal. Journal of Animal Breeding and Genetics, 139(4), 369-369. https://doi.org/10.1111/jbg.12725
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
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
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
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
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
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. I 46 Symposium de Cunicultura - Proceedings https://asescu.com/wp-content/uploads/2023/05/Libro-de-Actas_46-Symposium-Cunicultura-2022-1.pdf
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). I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_001.pdf
Speed, D., Kaphle, A. & Balding, D. J. (2022). SNP-based heritability and selection analyses: Improved models and new results. BioEssays, 44(5), e2100170. Artikel 2100170. https://doi.org/10.1002/bies.202100170
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
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
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 & Bioinformatics, 4(1), Artikel lqac011. https://doi.org/10.1093/nargab/lqac011
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
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