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Results: 1 to 20 of 112

1.

Genotypic recognition and spatial responses by rice roots.

Fang S, Clark RT, Zheng Y, Iyer-Pascuzzi AS, Weitz JS, Kochian LV, Edelsbrunner H, Liao H, Benfey PN.

Proc Natl Acad Sci U S A. 2013 Feb 12;110(7):2670-5. doi: 10.1073/pnas.1222821110. Epub 2013 Jan 29.

PMID:
23362379
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

Crop root behavior coordinates phosphorus status and neighbors: from field studies to three-dimensional in situ reconstruction of root system architecture.

Fang S, Gao X, Deng Y, Chen X, Liao H.

Plant Physiol. 2011 Mar;155(3):1277-85. doi: 10.1104/pp.110.167304. Epub 2011 Jan 11.

PMID:
21224339
[PubMed - indexed for MEDLINE]
Free PMC Article
3.

Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population II: conventional QTL analysis.

MacMillan K, Emrich K, Piepho HP, Mullins CE, Price AH.

Theor Appl Genet. 2006 Sep;113(5):953-64. Epub 2006 Jul 29.

PMID:
16896715
[PubMed - indexed for MEDLINE]
4.

Seminal, adventitious and lateral root growth and physiological responses in rice to upland conditions.

Yang L, Zheng BS, Mao CZ, Yi KK, Wu YR, Wu P, Tao QN.

J Zhejiang Univ Sci. 2003 Jul-Aug;4(4):469-73.

PMID:
12861625
[PubMed - indexed for MEDLINE]
5.

Root-induced changes to cadmium speciation in the rhizosphere of two rice (Oryza sativa L.) genotypes.

Hu L, McBride MB, Cheng H, Wu J, Shi J, Xu J, Wu L.

Environ Res. 2011 Apr;111(3):356-61. doi: 10.1016/j.envres.2011.01.012.

PMID:
21316043
[PubMed - indexed for MEDLINE]
6.

Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population. I: a soil-filled box screen.

MacMillan K, Emrich K, Piepho HP, Mullins CE, Price AH.

Theor Appl Genet. 2006 Oct;113(6):977-86. Epub 2006 Jul 28.

PMID:
16874488
[PubMed - indexed for MEDLINE]
7.

Three-dimensional root phenotyping with a novel imaging and software platform.

Clark RT, MacCurdy RB, Jung JK, Shaff JE, McCouch SR, Aneshansley DJ, Kochian LV.

Plant Physiol. 2011 Jun;156(2):455-65. doi: 10.1104/pp.110.169102. Epub 2011 Mar 31.

PMID:
21454799
[PubMed - indexed for MEDLINE]
Free PMC Article
8.

How genetic modification of roots affects rhizosphere processes and plant performance.

Kabouw P, van Dam NM, van der Putten WH, Biere A.

J Exp Bot. 2012 May;63(9):3475-83. doi: 10.1093/jxb/err399. Epub 2011 Dec 7. Review.

PMID:
22162872
[PubMed - indexed for MEDLINE]
Free Article
9.

Imaging and analysis platform for automatic phenotyping and trait ranking of plant root systems.

Iyer-Pascuzzi AS, Symonova O, Mileyko Y, Hao Y, Belcher H, Harer J, Weitz JS, Benfey PN.

Plant Physiol. 2010 Mar;152(3):1148-57. doi: 10.1104/pp.109.150748. Epub 2010 Jan 27.

PMID:
20107024
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

High-throughput two-dimensional root system phenotyping platform facilitates genetic analysis of root growth and development.

Clark RT, Famoso AN, Zhao K, Shaff JE, Craft EJ, Bustamante CD, McCouch SR, Aneshansley DJ, Kochian LV.

Plant Cell Environ. 2013 Feb;36(2):454-66. doi: 10.1111/j.1365-3040.2012.02587.x. Epub 2012 Sep 3.

PMID:
22860896
[PubMed - indexed for MEDLINE]
11.

3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research.

Fang S, Yan X, Liao H.

Plant J. 2009 Dec;60(6):1096-108. doi: 10.1111/j.1365-313X.2009.04009.x. Epub .

PMID:
19709387
[PubMed - indexed for MEDLINE]
12.

Quantitative imaging of rhizosphere pH and CO2 dynamics with planar optodes.

Blossfeld S, Schreiber CM, Liebsch G, Kuhn AJ, Hinsinger P.

Ann Bot. 2013 Jul;112(2):267-76. doi: 10.1093/aob/mct047. Epub 2013 Mar 26.

PMID:
23532048
[PubMed - indexed for MEDLINE]
Free PMC Article
13.

GiA Roots: software for the high throughput analysis of plant root system architecture.

Galkovskyi T, Mileyko Y, Bucksch A, Moore B, Symonova O, Price CA, Topp CN, Iyer-Pascuzzi AS, Zurek PR, Fang S, Harer J, Benfey PN, Weitz JS.

BMC Plant Biol. 2012 Jul 26;12:116. doi: 10.1186/1471-2229-12-116.

PMID:
22834569
[PubMed - indexed for MEDLINE]
Free PMC Article
14.

Preliminary study on a gravity-insensitive rice mutant.

Jin J, Zhu C, Zhang HX, Sun ZX.

J Zhejiang Univ Sci. 2004 Feb;5(2):144-8.

PMID:
14674024
[PubMed - indexed for MEDLINE]
15.

The effects of radial oxygen loss on arsenic tolerance and uptake in rice and on its rhizosphere.

Mei XQ, Wong MH, Yang Y, Dong HY, Qiu RL, Ye ZH.

Environ Pollut. 2012 Jun;165:109-17. doi: 10.1016/j.envpol.2012.02.018. Epub 2012 Mar 16.

PMID:
22445918
[PubMed - indexed for MEDLINE]
16.

[Responses of rice genotypes with different silicon uptake efficiency to different silicon supply].

Liu H, Zhang J, Du YX, Zhao QZ, Chen JR, Qiao JF.

Ying Yong Sheng Tai Xue Bao. 2009 Feb;20(2):320-4. Chinese.

PMID:
19459370
[PubMed - indexed for MEDLINE]
17.

Genome-wide transcriptome dissection of the rice root system: implications for developmental and physiological functions.

Takehisa H, Sato Y, Igarashi M, Abiko T, Antonio BA, Kamatsuki K, Minami H, Namiki N, Inukai Y, Nakazono M, Nagamura Y.

Plant J. 2012 Jan;69(1):126-40. doi: 10.1111/j.1365-313X.2011.04777.x. Epub 2011 Oct 25.

PMID:
21895812
[PubMed - indexed for MEDLINE]
18.

OsNAC5 overexpression enlarges root diameter in rice plants leading to enhanced drought tolerance and increased grain yield in the field.

Jeong JS, Kim YS, Redillas MC, Jang G, Jung H, Bang SW, Choi YD, Ha SH, Reuzeau C, Kim JK.

Plant Biotechnol J. 2013 Jan;11(1):101-14. doi: 10.1111/pbi.12011. Epub 2012 Oct 24.

PMID:
23094910
[PubMed - indexed for MEDLINE]
19.

Malate exudation by six aerobic rice genotypes varying in zinc uptake efficiency.

Gao X, Zhang F, Hoffland E.

J Environ Qual. 2009 Oct 29;38(6):2315-21. doi: 10.2134/jeq2009.0043. Print 2009 Nov-Dec.

PMID:
19875787
[PubMed - indexed for MEDLINE]
20.

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