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Items: 1 to 20 of 87

1.

Generation of a multi-locus chicken introgression line to study the effects of genetic interactions on metabolic phenotypes in chickens.

Ek W, Marklund S, Ragavendran A, Siegel P, Muir W, Carlborg O.

Front Genet. 2012 Mar 2;3:29. doi: 10.3389/fgene.2012.00029. eCollection 2012.

2.

Introgressing multiple QTL in breeding programmes of limited size.

Piyasatian N, Fernando RL, Dekkers JC.

J Anim Breed Genet. 2008 Feb;125(1):50-6. doi: 10.1111/j.1439-0388.2007.00677.x.

PMID:
18254826
3.

Identification of chromosomal regions associated with growth and carcass traits in an F(3) full sib intercross line originating from a cross of chicken lines divergently selected on body weight.

Tercic D, Holcman A, Dovc P, Morrice DR, Burt DW, Hocking PM, Horvat S.

Anim Genet. 2009 Oct;40(5):743-8. doi: 10.1111/j.1365-2052.2009.01917.x. Epub 2009 May 16.

PMID:
19466935
4.

Fine mapping and replication of QTL in outbred chicken advanced intercross lines.

Besnier F, Wahlberg P, Rönnegård L, Ek W, Andersson L, Siegel PB, Carlborg O.

Genet Sel Evol. 2011 Jan 17;43(1):3. doi: 10.1186/1297-9686-43-3.

5.

Imputation-Based Fine-Mapping Suggests That Most QTL in an Outbred Chicken Advanced Intercross Body Weight Line Are Due to Multiple, Linked Loci.

Brandt M, Ahsan M, Honaker CF, Siegel PB, Carlborg Ö.

G3 (Bethesda). 2017 Jan 5;7(1):119-128. doi: 10.1534/g3.116.036012.

6.

Genetic analysis of an F(2) intercross between two chicken lines divergently selected for body-weight.

Wahlberg P, Carlborg O, Foglio M, Tordoir X, Syvänen AC, Lathrop M, Gut IG, Siegel PB, Andersson L.

BMC Genomics. 2009 May 27;10:248. doi: 10.1186/1471-2164-10-248.

7.

Quantitative trait locus detection in commercial broiler lines using candidate regions.

de Koning DJ, Windsor D, Hocking PM, Burt DW, Law A, Haley CS, Morris A, Vincent J, Griffin H.

J Anim Sci. 2003 May;81(5):1158-65.

8.

Analysis of the mesotelencephalic dopamine system by quantitative-trait locus introgression.

Vadasz C, Sziraki I, Sasvari M, Kabai P, Murthy LR, Saito M, Laszlovszky I.

Neurochem Res. 1998 Nov;23(11):1337-54.

PMID:
9814544
9.

Identification and verification of QTLs for agronomic traits using wild barley introgression lines.

Schmalenbach I, Léon J, Pillen K.

Theor Appl Genet. 2009 Feb;118(3):483-97. doi: 10.1007/s00122-008-0915-z. Epub 2008 Nov 1.

PMID:
18979081
10.

Combined detection and introgression of QTL in outbred populations.

Yazdi MH, Sonesson AK, Woolliams JA, Meuwissen TH.

Genet Sel Evol. 2010 Jun 3;42:16. doi: 10.1186/1297-9686-42-16.

11.

Marker-assisted introgression of five QTLs controlling fruit quality traits into three tomato lines revealed interactions between QTLs and genetic backgrounds.

Lecomte L, Duffé P, Buret M, Servin B, Hospital F, Causse M.

Theor Appl Genet. 2004 Aug;109(3):658-68. Epub 2004 Apr 27.

PMID:
15112037
12.
13.

Identification and reciprocal introgression of a QTL affecting body mass in mice.

Christians JK, Rance KA, Knott SA, Pignatelli PM, Oliver F, Bünger L.

Genet Sel Evol. 2004 Sep-Oct;36(5):577-91.

14.

Comparison of different foreground and background selection methods in marker-assisted introgression.

Bai JY, Zhang Q, Jia XP.

Yi Chuan Xue Bao. 2006 Dec;33(12):1073-80.

PMID:
17185166
15.

Identification of candidate genes and mutations in QTL regions for chicken growth using bioinformatic analysis of NGS and SNP-chip data.

Ahsan M, Li X, Lundberg AE, Kierczak M, Siegel PB, Carlborg O, Marklund S.

Front Genet. 2013 Nov 5;4:226. doi: 10.3389/fgene.2013.00226. eCollection 2013.

16.

QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of 'true' QTL.

Ramchiary N, Bisht NC, Gupta V, Mukhopadhyay A, Arumugam N, Sodhi YS, Pental D, Pradhan AK.

Theor Appl Genet. 2007 Dec;116(1):77-85. Epub 2007 Sep 26.

PMID:
17898985
17.

Marker-assisted introgression of favorable alleles at quantitative trait loci between maize elite lines.

Bouchez A, Hospital F, Causse M, Gallais A, Charcosset A.

Genetics. 2002 Dec;162(4):1945-59.

18.

Introgression of a major QTL from an inferior into a superior population using genomic selection.

Odegård J, Sonesson AK, Yazdi MH, Meuwissen TH.

Genet Sel Evol. 2009 Jul 27;41:38. doi: 10.1186/1297-9686-41-38.

19.

Using genetic mapping and genomics approaches in understanding and improving drought tolerance in pearl millet.

Yadav RS, Sehgal D, Vadez V.

J Exp Bot. 2011 Jan;62(2):397-408. doi: 10.1093/jxb/erq265. Epub 2010 Sep 5. Review.

PMID:
20819788
20.

Genetic analysis of metabolic traits in an intercross between body weight-selected chicken lines.

Ek W, Strömstedt L, Wahlberg P, Siegel P, Andersson L, Carlborg O.

Physiol Genomics. 2010 Jun;42(1):20-2. doi: 10.1152/physiolgenomics.00149.2009. Epub 2010 Mar 23.

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