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.pdfSaintilan, 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/ibLiu, 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/s41588-022-01153-5Sammad, 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.2022.882951Marašinskienė, 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/ani12151926Kotlarz, 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/s12711-022-00771-1Sawant, 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/en15218107Gebreyesus, 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. I
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), Artikel 505.
https://doi.org/10.1186/s12864-022-08697-0
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/s12915-022-01459-0Yang, 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.2022.105572Yao, 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/s13059-022-02745-4Alemu, 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-zSlagboom, 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
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
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.2021-21049Rome, 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. I
WCGALP 2022 Programme Book Wageningen Academic Publishers.
https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf
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, Nr. 2021-0237290, 6 s., maj 12, 2022.
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.pdfLou, 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.2021-20389Manzanilla 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
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
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.2021-21450Chu, 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
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
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/lqac011Dharmateja, 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.2022.984720Wang, 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
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
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
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/skac174Raffo, 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 fra XVIIIth Eucarpia Biometrics in Plant Breeding Conference.
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_19Eiríksson, 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
Karaman, E., Milkevych, V., Cai, Z., Janss, L., Sahana, G. & Lund, M. S. (2022).
Genomic prediction with incomplete omics data. I
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/13_012.pdf
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.pdfIslam, 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. I
WCGALP2022 Programme book Wageningen Academic Publishers.
https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdfConsortium, 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.16579Zhou, 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/s41586-022-04808-9Kingsley, 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.13267Martinez 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/s12711-022-00769-9Bordbar, 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/ani12091103Raffo, 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. 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 fra Plant and Animal Genome - IWGSC.
Tenhunen, S. R., Thomasen, J. R., Sørensen, L. P., Aamand, G. P.
, Berg, P. & Kargo, M. (2022).
Inbreeding and coancestry trends in Nordic Holstein. I
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/67_009.pdf
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
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
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.2022.1078696Hansen, 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
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
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
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
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
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
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/
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/app12126194Ostersen, 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. I
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_015.pdfOlesen, 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, Nr. 2022-0431984, 35 s., sep. 23, 2022. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Stephansen, 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. I
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/14_014.pdf
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.02068-22Clasen, 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. I
Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP): Book of abstracts No. 28 (2022) (s. 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, Artikel 25.
https://doi.org/10.1186/s12711-022-00714-w
Milkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z. & Lund, M. S. (2022).
Quantitative trait simulation using MeSCoT software. I
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/30_009.pdf
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
