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Results: 1 to 20 of 294

1.

Do codes of conduct matter?

Main DC.

Vet Rec. 2015 Jun 20;176(25):652-3. doi: 10.1136/vr.h3202. No abstract available.

PMID:
26101390
2.

Development and preliminary evaluation of a 90 K Axiom® SNP array for the allo-octoploid cultivated strawberry Fragaria × ananassa.

Bassil NV, Davis TM, Zhang H, Ficklin S, Mittmann M, Webster T, Mahoney L, Wood D, Alperin ES, Rosyara UR, Koehorst-Vanc Putten H, Monfort A, Sargent DJ, Amaya I, Denoyes B, Bianco L, van Dijk T, Pirani A, Iezzoni A, Main D, Peace C, Yang Y, Whitaker V, Verma S, Bellon L, Brew F, Herrera R, van de Weg E.

BMC Genomics. 2015 Mar 7;16:155. doi: 10.1186/s12864-015-1310-1.

3.

Distribution and evolution of cotton fiber development genes in the fibreless Gossypium raimondii genome.

Xu Z, Yu J, Kohel RJ, Percy RG, Beavis WD, Main D, Yu JZ.

Genomics. 2015 Jul;106(1):61-9. doi: 10.1016/j.ygeno.2015.03.002. Epub 2015 Mar 18.

PMID:
25796538
4.

Community-based walking exercise for peripheral artery disease: An exploratory pilot study.

Mays RJ, Hiatt WR, Casserly IP, Rogers RK, Main DS, Kohrt WM, Ho PM, Regensteiner JG.

Vasc Med. 2015 Mar 9. pii: 1358863X15572725. [Epub ahead of print]

PMID:
25755148
5.

Understanding distress in posttreatment adult leukemia and lymphoma survivors: a lifespan perspective.

Jones WC, Parry C, Devine S, Main DS, Okuyama S.

J Psychosoc Oncol. 2015;33(2):142-62. doi: 10.1080/07347332.2014.1002658. Epub 2015 Feb 11.

PMID:
25671408
6.

Prevalence and predictors of distress in posttreatment adult leukemia and lymphoma survivors.

Jones WC, Parry C, Devine S, Main DS, Okuyama S, Tran ZV.

J Psychosoc Oncol. 2015;33(2):124-41. doi: 10.1080/07347332.2014.992085.

PMID:
25581206
7.

Infrared thermometry for lesion monitoring in cattle lameness.

Wood S, Lin Y, Knowles TG, Main DC.

Vet Rec. 2015 Mar 21;176(12):308. doi: 10.1136/vr.102571. Epub 2014 Dec 2.

PMID:
25467147
8.

Protocol: Adaptive Implementation of Effective Programs Trial (ADEPT): cluster randomized SMART trial comparing a standard versus enhanced implementation strategy to improve outcomes of a mood disorders program.

Kilbourne AM, Almirall D, Eisenberg D, Waxmonsky J, Goodrich DE, Fortney JC, Kirchner JE, Solberg LI, Main D, Bauer MS, Kyle J, Murphy SA, Nord KM, Thomas MR.

Implement Sci. 2014 Sep 30;9:132. doi: 10.1186/s13012-014-0132-x.

9.

Complete genome of the switchgrass endophyte Enterobacter clocace P101.

Humann JL, Wildung M, Pouchnik D, Bates AA, Drew JC, Zipperer UN, Triplett EW, Main D, Schroeder BK.

Stand Genomic Sci. 2014 Feb 15;9(3):726-34. doi: 10.4056/sigs.4808608. eCollection 2014 Jun 15.

10.

Navigating the iceberg: reducing the number of parameters within the Welfare Quality(®) assessment protocol for dairy cows.

Heath CA, Browne WJ, Mullan S, Main DC.

Animal. 2014 Dec;8(12):1978-86. doi: 10.1017/S1751731114002018. Epub 2014 Aug 27.

PMID:
25159607
11.

Measuring the response to therapeutic foot trimming in dairy cows with fortnightly lameness scoring.

Groenevelt M, Main DC, Tisdall D, Knowles TG, Bell NJ.

Vet J. 2014 Sep;201(3):283-8. doi: 10.1016/j.tvjl.2014.05.017. Epub 2014 May 16.

PMID:
24881511
12.

Quantifying transitions between levels of mobility score in dairy cows.

Stoye SC, Groenevelt M, Bell NJ, Main DC.

Vet Rec. 2014 Jun 28;174(26):659. doi: 10.1136/vr.102525. Epub 2014 May 16. No abstract available.

PMID:
24836428
13.

Unique features of the loblolly pine (Pinus taeda L.) megagenome revealed through sequence annotation.

Wegrzyn JL, Liechty JD, Stevens KA, Wu LS, Loopstra CA, Vasquez-Gross HA, Dougherty WM, Lin BY, Zieve JJ, Martínez-García PJ, Holt C, Yandell M, Zimin AV, Yorke JA, Crepeau MW, Puiu D, Salzberg SL, Dejong PJ, Mockaitis K, Main D, Langley CH, Neale DB.

Genetics. 2014 Mar;196(3):891-909. doi: 10.1534/genetics.113.159996.

14.

Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies.

Neale DB, Wegrzyn JL, Stevens KA, Zimin AV, Puiu D, Crepeau MW, Cardeno C, Koriabine M, Holtz-Morris AE, Liechty JD, Martínez-García PJ, Vasquez-Gross HA, Lin BY, Zieve JJ, Dougherty WM, Fuentes-Soriano S, Wu LS, Gilbert D, Marçais G, Roberts M, Holt C, Yandell M, Davis JM, Smith KE, Dean JF, Lorenz WW, Whetten RW, Sederoff R, Wheeler N, McGuire PE, Main D, Loopstra CA, Mockaitis K, deJong PJ, Yorke JA, Salzberg SL, Langley CH.

Genome Biol. 2014 Mar 4;15(3):R59. doi: 10.1186/gb-2014-15-3-r59.

15.

Genomics and bioinformatics resources for translational science in Rosaceae.

Jung S, Main D.

Plant Biotechnol Rep. 2014;8:49-64. Epub 2013 May 21. Review.

16.

Feasibility and acceptability of a collaborative care intervention to improve symptoms and quality of life in chronic heart failure: mixed methods pilot trial.

Bekelman DB, Hooker S, Nowels CT, Main DS, Meek P, McBryde C, Hattler B, Lorenz KA, Heidenreich PA.

J Palliat Med. 2014 Feb;17(2):145-51. doi: 10.1089/jpm.2013.0143. Epub 2013 Dec 11.

17.

Investigating the value dairy farmers place on a reduction of lameness in their herds using a willingness to pay approach.

Bennett RM, Barker ZE, Main DC, Whay HR, Leach KA.

Vet J. 2014 Jan;199(1):72-5. doi: 10.1016/j.tvjl.2013.09.068. Epub 2013 Oct 7.

PMID:
24268682
18.

Addition of a breeding database in the Genome Database for Rosaceae.

Evans K, Jung S, Lee T, Brutcher L, Cho I, Peace C, Main D.

Database (Oxford). 2013 Nov 18;2013:bat078. doi: 10.1093/database/bat078. Print 2013.

19.

The Genome Database for Rosaceae (GDR): year 10 update.

Jung S, Ficklin SP, Lee T, Cheng CH, Blenda A, Zheng P, Yu J, Bombarely A, Cho I, Ru S, Evans K, Peace C, Abbott AG, Mueller LA, Olmstead MA, Main D.

Nucleic Acids Res. 2014 Jan;42(Database issue):D1237-44. doi: 10.1093/nar/gkt1012. Epub 2013 Nov 12.

20.

CottonGen: a genomics, genetics and breeding database for cotton research.

Yu J, Jung S, Cheng CH, Ficklin SP, Lee T, Zheng P, Jones D, Percy RG, Main D.

Nucleic Acids Res. 2014 Jan;42(Database issue):D1229-36. doi: 10.1093/nar/gkt1064. Epub 2013 Nov 6.

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