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Items: 10

1.

Raspberry Pi-powered imaging for plant phenotyping.

Tovar JC, Hoyer JS, Lin A, Tielking A, Callen ST, Elizabeth Castillo S, Miller M, Tessman M, Fahlgren N, Carrington JC, Nusinow DA, Gehan MA.

Appl Plant Sci. 2018 Mar 31;6(3):e1031. doi: 10.1002/aps3.1031. eCollection 2018 Mar.

2.

PlantCV v2: Image analysis software for high-throughput plant phenotyping.

Gehan MA, Fahlgren N, Abbasi A, Berry JC, Callen ST, Chavez L, Doust AN, Feldman MJ, Gilbert KB, Hodge JG, Hoyer JS, Lin A, Liu S, Lizárraga C, Lorence A, Miller M, Platon E, Tessman M, Sax T.

PeerJ. 2017 Dec 1;5:e4088. doi: 10.7717/peerj.4088. eCollection 2017.

3.

The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology.

Friesner J, Assmann SM, Bastow R, Bailey-Serres J, Beynon J, Brendel V, Buell CR, Bucksch A, Busch W, Demura T, Dinneny JR, Doherty CJ, Eveland AL, Falter-Braun P, Gehan MA, Gonzales M, Grotewold E, Gutierrez R, Kramer U, Krouk G, Ma S, Markelz RJC, Megraw M, Meyers BC, Murray JAH, Provart NJ, Rhee S, Smith R, Spalding EP, Taylor C, Teal TK, Torii KU, Town C, Vaughn M, Vierstra R, Ware D, Wilkins O, Williams C, Brady SM.

Plant Physiol. 2017 Dec;175(4):1499-1509. doi: 10.1104/pp.17.01490. No abstract available.

PMID:
29208732
4.

Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa.

Greenham K, Guadagno CR, Gehan MA, Mockler TC, Weinig C, Ewers BE, McClung CR.

Elife. 2017 Aug 18;6. pii: e29655. doi: 10.7554/eLife.29655.

5.

Morphological Plant Modeling: Unleashing Geometric and Topological Potential within the Plant Sciences.

Bucksch A, Atta-Boateng A, Azihou AF, Battogtokh D, Baumgartner A, Binder BM, Braybrook SA, Chang C, Coneva V, DeWitt TJ, Fletcher AG, Gehan MA, Diaz-Martinez DH, Hong L, Iyer-Pascuzzi AS, Klein LL, Leiboff S, Li M, Lynch JP, Maizel A, Maloof JN, Markelz RJC, Martinez CC, Miller LA, Mio W, Palubicki W, Poorter H, Pradal C, Price CA, Puttonen E, Reese JB, Rellán-Álvarez R, Spalding EP, Sparks EE, Topp CN, Williams JH, Chitwood DH.

Front Plant Sci. 2017 Jun 9;8:900. doi: 10.3389/fpls.2017.00900. eCollection 2017. Review.

6.

High-throughput phenotyping.

Gehan MA, Kellogg EA.

Am J Bot. 2017 Apr;104(4):505-508. doi: 10.3732/ajb.1700044. Epub 2017 Apr 11. No abstract available.

7.

Natural variation in the C-repeat binding factor cold response pathway correlates with local adaptation of Arabidopsis ecotypes.

Gehan MA, Park S, Gilmour SJ, An C, Lee CM, Thomashow MF.

Plant J. 2015 Nov;84(4):682-93. doi: 10.1111/tpj.13027. Epub 2015 Oct 28.

8.

A Versatile Phenotyping System and Analytics Platform Reveals Diverse Temporal Responses to Water Availability in Setaria.

Fahlgren N, Feldman M, Gehan MA, Wilson MS, Shyu C, Bryant DW, Hill ST, McEntee CJ, Warnasooriya SN, Kumar I, Ficor T, Turnipseed S, Gilbert KB, Brutnell TP, Carrington JC, Mockler TC, Baxter I.

Mol Plant. 2015 Oct 5;8(10):1520-35. doi: 10.1016/j.molp.2015.06.005. Epub 2015 Jun 20.

9.

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up.

Fahlgren N, Gehan MA, Baxter I.

Curr Opin Plant Biol. 2015 Apr;24:93-9. doi: 10.1016/j.pbi.2015.02.006. Epub 2015 Feb 27. Review.

10.

Transcriptional networks-crops, clocks, and abiotic stress.

Gehan MA, Greenham K, Mockler TC, McClung CR.

Curr Opin Plant Biol. 2015 Apr;24:39-46. doi: 10.1016/j.pbi.2015.01.004. Epub 2015 Feb 1. Review.

PMID:
25646668

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