113 related articles for article (PubMed ID: 28620209)
1. Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass.
Byrne SL; Conaghan P; Barth S; Arojju SK; Casler M; Michel T; Velmurugan J; Milbourne D
Sci Rep; 2017 Jun; 7(1):3566. PubMed ID: 28620209
[TBL] [Abstract][Full Text] [Related]
2. Markers associated with heading and aftermath heading in perennial ryegrass full-sib families.
Arojju SK; Barth S; Milbourne D; Conaghan P; Velmurugan J; Hodkinson TR; Byrne SL
BMC Plant Biol; 2016 Jul; 16(1):160. PubMed ID: 27422157
[TBL] [Abstract][Full Text] [Related]
3. Genomic dissection and prediction of heading date in perennial ryegrass.
Fè D; Cericola F; Byrne S; Lenk I; Ashraf BH; Pedersen MG; Roulund N; Asp T; Janss L; Jensen CS; Jensen J
BMC Genomics; 2015 Nov; 16():921. PubMed ID: 26559662
[TBL] [Abstract][Full Text] [Related]
4. Using a Candidate Gene-Based Genetic Linkage Map to Identify QTL for Winter Survival in Perennial Ryegrass.
Paina C; Byrne SL; Studer B; Rognli OA; Asp T
PLoS One; 2016; 11(3):e0152004. PubMed ID: 27010567
[TBL] [Abstract][Full Text] [Related]
5. QTL mapping of vernalization response in perennial ryegrass (Lolium perenne L.) reveals co-location with an orthologue of wheat VRN1.
Jensen LB; Andersen JR; Frei U; Xing Y; Taylor C; Holm PB; Lübberstedt T
Theor Appl Genet; 2005 Feb; 110(3):527-36. PubMed ID: 15619078
[TBL] [Abstract][Full Text] [Related]
6. Synteny between a major heading-date QTL in perennial ryegrass (Lolium perenne L.) and the Hd3 heading-date locus in rice.
Armstead IP; Turner LB; Farrell M; Skøt L; Gomez P; Montoya T; Donnison IS; King IP; Humphreys MO
Theor Appl Genet; 2004 Mar; 108(5):822-8. PubMed ID: 14634728
[TBL] [Abstract][Full Text] [Related]
7. Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics.
Armstead IP; Turner LB; Marshall AH; Humphreys MO; King IP; Thorogood D
New Phytol; 2008; 178(3):559-71. PubMed ID: 18346108
[TBL] [Abstract][Full Text] [Related]
8. Leaf Rubisco turnover in a perennial ryegrass (Lolium perenne L.) mapping population: genetic variation, identification of associated QTL, and correlation with plant morphology and yield.
Khaembah EN; Irving LJ; Thom ER; Faville MJ; Easton HS; Matthew C
J Exp Bot; 2013 Mar; 64(5):1305-16. PubMed ID: 23505311
[TBL] [Abstract][Full Text] [Related]
9. Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing.
Faville MJ; Ganesh S; Cao M; Jahufer MZZ; Bilton TP; Easton HS; Ryan DL; Trethewey JAK; Rolston MP; Griffiths AG; Moraga R; Flay C; Schmidt J; Tan R; Barrett BA
Theor Appl Genet; 2018 Mar; 131(3):703-720. PubMed ID: 29264625
[TBL] [Abstract][Full Text] [Related]
10. Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans, Protein Content, Grain Yield per Spike and Heading Time in Durum Wheat.
Marcotuli I; Gadaleta A; Mangini G; Signorile AM; Zacheo SA; Blanco A; Simeone R; Colasuonno P
Int J Mol Sci; 2017 Jun; 18(6):. PubMed ID: 28635630
[TBL] [Abstract][Full Text] [Related]
11. QTL analysis of lodging resistance and related traits in Italian ryegrass ( Lolium multiflorum Lam.).
Inoue M; Gao Z; Cai H
Theor Appl Genet; 2004 Nov; 109(8):1576-85. PubMed ID: 15448899
[TBL] [Abstract][Full Text] [Related]
12. QTL analysis and comparative genomics of herbage quality traits in perennial ryegrass (Lolium perenne L.).
Cogan NO; Smith KF; Yamada T; Francki MG; Vecchies AC; Jones ES; Spangenberg GC; Forster JW
Theor Appl Genet; 2005 Jan; 110(2):364-80. PubMed ID: 15558228
[TBL] [Abstract][Full Text] [Related]
13. Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing.
Ashraf BH; Byrne S; Fé D; Czaban A; Asp T; Pedersen MG; Lenk I; Roulund N; Didion T; Jensen CS; Jensen J; Janss LL
Theor Appl Genet; 2016 Jan; 129(1):45-52. PubMed ID: 26407618
[TBL] [Abstract][Full Text] [Related]
14. An ultra-high density genetic linkage map of perennial ryegrass (Lolium perenne) using genotyping by sequencing (GBS) based on a reference shotgun genome assembly.
Velmurugan J; Mollison E; Barth S; Marshall D; Milne L; Creevey CJ; Lynch B; Meally H; McCabe M; Milbourne D
Ann Bot; 2016 Jul; 118(1):71-87. PubMed ID: 27268483
[TBL] [Abstract][Full Text] [Related]
15. Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.
Tiezzi F; Maltecca C
Genet Sel Evol; 2015 Apr; 47(1):24. PubMed ID: 25886167
[TBL] [Abstract][Full Text] [Related]
16. Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle.
Hassani S; Saatchi M; Fernando RL; Garrick DJ
Genet Sel Evol; 2015 Dec; 47():99. PubMed ID: 26698091
[TBL] [Abstract][Full Text] [Related]
17. QTL mapping of resistance to gray leaf spot in ryegrass.
Curley J; Sim SC; Warnke S; Leong S; Barker R; Jung G
Theor Appl Genet; 2005 Oct; 111(6):1107-17. PubMed ID: 16133316
[TBL] [Abstract][Full Text] [Related]
18. Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium.
Schopp P; Müller D; Technow F; Melchinger AE
Genetics; 2017 Jan; 205(1):441-454. PubMed ID: 28049710
[TBL] [Abstract][Full Text] [Related]
19. Using selection index theory to estimate consistency of multi-locus linkage disequilibrium across populations.
Wientjes YC; Veerkamp RF; Calus MP
BMC Genet; 2015 Jul; 16():87. PubMed ID: 26187501
[TBL] [Abstract][Full Text] [Related]
20. Genome-wide identification of SSR and SNP markers from the non-heading Chinese cabbage for comparative genomic analyses.
Song X; Ge T; Li Y; Hou X
BMC Genomics; 2015 Apr; 16(1):328. PubMed ID: 25908429
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]