Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Morten Greve"'
Autor:
Elesandro Bornhofen, Dario Fè, Istvan Nagy, Ingo Lenk, Morten Greve, Thomas Didion, Christian S. Jensen, Torben Asp, Luc Janss
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract Background Understanding the mechanisms underlining forage production and its biomass nutritive quality at the omics level is crucial for boosting the output of high-quality dry matter per unit of land. Despite the advent of multiple omics i
Externí odkaz:
https://doaj.org/article/c2bbf92dc9034ddbb92ce199eea23f2b
Autor:
Elesandro Bornhofen, Dario Fè, Ingo Lenk, Morten Greve, Thomas Didion, Christian Sig Jensen, Torben Asp, Luc Janss
Publikováno v:
The Plant Genome, Vol 15, Iss 4, Pp n/a-n/a (2022)
Abstract Joint modeling of correlated multienvironment and multiharvest data of perennial crop species may offer advantages in prediction schemes and a better understanding of the underlying dynamics in space and time. The goal of the present study w
Externí odkaz:
https://doaj.org/article/de3efab5c2b54b2cb0e8bedecdd55325
Autor:
Elesandro Bornhofen, Dario Fè, Istvan Nagy, Ingo Lenk, Morten Greve, Thomas Didion, Christian Sig Jensen, Torben Asp, Luc Janss
Publikováno v:
Bornhofen, E, Fé, D, Nagy, I, Lenk, I, Greve, M, Didion, T, Jensen, C S, Asp, T & Janss, L 2023, ' Genetic architecture of inter-specific and-generic grass hybrids by network analysis on multi-omics data ', BMC Genomics, vol. 24, no. 1, 213 . https://doi.org/10.1186/s12864-023-09292-7
Understanding the mechanisms underlining forage production and its biomass nutritive quality at the omics level is crucial for boosting the output of high-quality dry matter per unit of land. Despite the advent of multiple omics integration for the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4534e57faa7c02fcbe722119a03fe56d
https://doi.org/10.1101/2022.12.23.521625
https://doi.org/10.1101/2022.12.23.521625
Publikováno v:
Genes, Vol 13, Iss 20, p 20 (2022)
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, vol. 13, no. 1, 20 . https://doi.org/10.3390/genes13010020
Genes
Genes; Volume 13; Issue 1; Pages: 20
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, vol. 13, no. 1, 20 . https://doi.org/10.3390/genes13010020
Genes
Genes; Volume 13; Issue 1; Pages: 20
A population of 239 perennial ryegrass (Lolium perenne L.) genotypes was analyzed to identify marker-trait associations for crown rust (Puccinia coronata f. sp. lolii) and brown rust (Puccinia graminis f. sp. loliina) resistance. Phenotypic data from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a87fa88d7c00ca9732eb20e061e459
https://www.mdpi.com/2073-4425/13/1/20
https://www.mdpi.com/2073-4425/13/1/20
Genomic Prediction in Tetraploid Ryegrass Using Allele Frequencies Based on Genotyping by Sequencing
Autor:
Ingo Lenk, Christian Sig Jensen, Lucas L Janss, Just Jensen, Morten Greve Pedersen, Xiangyu Guo, Dario Fè, Fabio Cericola
Publikováno v:
Frontiers in Plant Science
Guo, X, Cericola, F, Fè, D, Pedersen, M G, Lenk, I, Jensen, C S, Jensen, J & Janss, L L 2018, ' Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing ', Frontiers in Plant Science, vol. 9, 1165 . https://doi.org/10.3389/fpls.2018.01165
Frontiers in Plant Science, Vol 9 (2018)
Guo, X, Cericola, F, Fè, D, Pedersen, M G, Lenk, I, Jensen, C S, Jensen, J & Janss, L L 2018, ' Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing ', Frontiers in Plant Science, vol. 9, 1165 . https://doi.org/10.3389/fpls.2018.01165
Frontiers in Plant Science, Vol 9 (2018)
Perennial ryegrass is an outbreeding forage species and is one of the most widely used forage grasses in temperate regions. The aim of this study was to investigate the possibility of implementing genomic prediction in tetraploid perennial ryegrass,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ccabda9241ea002118b775d831af866
https://pubmed.ncbi.nlm.nih.gov/30158944
https://pubmed.ncbi.nlm.nih.gov/30158944
Publikováno v:
Fé, D, Pedersen, M G, Jensen, C S & Jensen, J 2015, ' Genetic and environmental variation in a commercial breeding program of perennial ryegrass ', Crop Science Society of America. Special Publication, vol. 55, no. 2, pp. 631-640 . https://doi.org/10.2135/cropsci2014.06.0441
Implementation of genomic selection (GS) for the genetic improvement of forage crops, such as perennial ryegrass, requires the establish - ment of sufficiently large training populations with high-quality phenotype and genotype data. This paper prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e423a6d365b97cf63f23e52550faab08
https://doi.org/10.2135/cropsci2014.06.0441
https://doi.org/10.2135/cropsci2014.06.0441
Autor:
Dario Fè, Ingo Lenk, Stephen Byrne, Just Jensen, Bilal Ashraf, Luc Janss, Morten Greve Pedersen, Torben Asp, Christian Sig Jensen, Niels Roulund, Thomas Didion
Publikováno v:
The Plant Genome, Vol 9, Iss 3 (2016)
Fè, D, Ashraf, B H, Pedersen, M G, Janss, L, Byrne, S, Roulund, N, Lenk, I, Didion, T, Asp, T, Jensen, C S & Jensen, J 2016, ' Accuracy of genomic prediction in a commercial perennial ryegrass breeding program ', Plant Genome, vol. 9, no. 3 . https://doi.org/10.3835/plantgenome2015.11.0110
Fè, D, Ashraf, B H, Pedersen, M G, Janss, L, Byrne, S, Roulund, N, Lenk, I, Didion, T, Asp, T, Jensen, C S & Jensen, J 2016, ' Accuracy of genomic prediction in a commercial perennial ryegrass breeding program ', Plant Genome, vol. 9, no. 3 . https://doi.org/10.3835/plantgenome2015.11.0110
The implementation of genomic selection (GS) in plant breeding, so far, has been mainly evaluated in crops farmed as homogeneous varieties, and the results have been generally positive. Fewer results are available for species, such as forage grasses,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f0cb8491287ae3ea8e8e3b9a20179e
https://doi.org/10.3835/plantgenome2015.11.0110
https://doi.org/10.3835/plantgenome2015.11.0110
Autor:
Torben Asp, Morten Greve Pedersen, Thomas Didion, Ingo Lenk, Stephen Byrne, Niels Roulund, Dario Fè, Bilal Ashraf, Luc Janss, Christian Sig Jensen, Adrian Czaban, Just Jensen
Publikováno v:
Ashraf, B H, Byrne, S, Fé, D, Czaban, A, Asp, T, Pedersen, M G, Lenk, I, Roulund, N, Didion, T, Jensen, C S, Jensen, J & Janss, L L 2016, ' Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing ', Theoretical and Applied Genetics, vol. 129, no. 1, pp. 45-52 . https://doi.org/10.1007/s00122-015-2607-9
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Keymessage By using the genotyping-by-sequencing method, it is feasible to characterize genomic relationships directly at the level of family pools and to estimate genomic heritabilities from phenotypes scored on family-pools in outbreeding species.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c7aef3875cdd0fcd06e644e76b9364
https://pure.au.dk/portal/da/publications/estimating-genomic-heritabilities-at-the-level-of-familypool-samples-of-perennial-ryegrass-using-genotypingbysequencing(71262d11-39f9-4119-ae14-3dd71af8da96).html
https://pure.au.dk/portal/da/publications/estimating-genomic-heritabilities-at-the-level-of-familypool-samples-of-perennial-ryegrass-using-genotypingbysequencing(71262d11-39f9-4119-ae14-3dd71af8da96).html
Autor:
Jens Ø. Duus, Jacob Holm Nielsen, Mette Bach Larsen, Martin Riis Weisbjerg, Hanne Christine Bertram, Thomas Didion, Morten Greve Pedersen, Christian Sig Jensen, Bent O. Petersen
Publikováno v:
Journal of Agricultural and Food Chemistry
Bertram, H C, Weisbjerg, M R, Jensen, C S, Pedersen, M G, Didion, T, Petersen, B O, Duus, J Ø, Larsen, M K & Nielsen, J H 2010, ' Seasonal Changes in the Metabolic Fingerprint of 21 Grass and Legume Cultivars Studied by Nuclear Magnetic Resonance-Based Metabolomics ', Journal of Agricultural and Food Chemistry, vol. 58, pp. 4336-4341 . https://doi.org/10.1021/jf904321p
Bertram, H C, Weisbjerg, M R, Jensen, C S, Pedersen, M G, Didion, T, Petersen, B O, Duus, J Ø, Larsen, M K & Nielsen, J H 2010, ' Seasonal Changes in the Metabolic Fingerprint of 21 Grass and Legume Cultivars Studied by Nuclear Magnetic Resonance-Based Metabolomics ', Journal of Agricultural and Food Chemistry, vol. 58, pp. 4336-4341 . https://doi.org/10.1021/jf904321p
A nuclear magnetic resonance (NMR)-based approach was introduced for metabolic fingerprinting of 21 grass and legume cultivars in the present study. Applying principal component analysis (PCA) on the fingerprints obtained on water extracts, it was po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba8e0cbe99a5f3926cc67b4c15bb9055
https://doi.org/10.1021/jf904321p
https://doi.org/10.1021/jf904321p
Autor:
Bilal Ashraf, Dario Fè, Christian Sig Jensen, Niels Roulund, Fabio Cericola, Stephen Byrne, Just Jensen, Ingo Lenk, Luc Janss, Morten Greve Pedersen, Torben Asp
Publikováno v:
Fè, D, Cericola, F, Byrne, S, Lenk, I, Ashraf, B H, Pedersen, M G, Roulund, N, Asp, T, Janss, L, Jensen, C S & Jensen, J 2015, ' Genomic dissection and prediction of heading date in perennial ryegrass ', B M C Genomics, vol. 16, no. 921, pp. 1-15 . https://doi.org/10.1186/s12864-015-2163-3
BMC Genomics
BMC Genomics
Background Genomic selection (GS) has become a commonly used technology in animal breeding. In crops, it is expected to significantly improve the genetic gains per unit of time. So far, its implementation in plant breeding has been mainly investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e8c4b8b4b685b9b2ec562d99619c498
https://doi.org/10.1186/s12864-015-2163-3
https://doi.org/10.1186/s12864-015-2163-3