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Items: 1 to 20 of 149

1.

Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters.

Crowell S, Korniliev P, Falcão A, Ismail A, Gregorio G, Mezey J, McCouch S.

Nat Commun. 2016 Feb 4;7:10527. doi: 10.1038/ncomms10527.

2.

High-Resolution Inflorescence Phenotyping Using a Novel Image-Analysis Pipeline, PANorama.

Crowell S, Falcão AX, Shah A, Wilson Z, Greenberg AJ, McCouch SR.

Plant Physiol. 2014 Jun;165(2):479-495. Epub 2014 Apr 2.

3.

Fine mapping and candidate gene analysis of a major QTL for panicle structure in rice.

Peng Y, Gao Z, Zhang B, Liu C, Xu J, Ruan B, Hu J, Dong G, Guo L, Liang G, Qian Q.

Plant Cell Rep. 2014 Nov;33(11):1843-50. doi: 10.1007/s00299-014-1661-0. Epub 2014 Jul 31.

4.

Genome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa).

Begum H, Spindel JE, Lalusin A, Borromeo T, Gregorio G, Hernandez J, Virk P, Collard B, McCouch SR.

PLoS One. 2015 Mar 18;10(3):e0119873. doi: 10.1371/journal.pone.0119873. eCollection 2015.

5.

Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.

Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redoña E, Atlin G, Jannink JL, McCouch SR.

PLoS Genet. 2015 Feb 17;11(2):e1004982. doi: 10.1371/journal.pgen.1004982. eCollection 2015 Feb. Erratum in: PLoS Genet. 2015 Jun;11(6):e1005350.

6.

Identification of a Rice stripe necrosis virus resistance locus and yield component QTLs using Oryza sativa x O. glaberrima introgression lines.

Gutiérrez AG, Carabalí SJ, Giraldo OX, Martínez CP, Correa F, Prado G, Tohme J, Lorieux M.

BMC Plant Biol. 2010 Jan 8;10:6. doi: 10.1186/1471-2229-10-6.

7.

Fine mapping and candidate gene analysis of dense and erect panicle 3, DEP3, which confers high grain yield in rice (Oryza sativa L.).

Qiao Y, Piao R, Shi J, Lee SI, Jiang W, Kim BK, Lee J, Han L, Ma W, Koh HJ.

Theor Appl Genet. 2011 May;122(7):1439-49. doi: 10.1007/s00122-011-1543-6. Epub 2011 Feb 12.

PMID:
21318372
8.
9.

Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice.

Zhang L, Wang J, Wang J, Wang L, Ma B, Zeng L, Qi Y, Li Q, He Z.

Theor Appl Genet. 2015 Jun;128(6):1151-61. doi: 10.1007/s00122-015-2496-y. Epub 2015 Mar 28.

PMID:
25821195
10.

QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).

Marathi B, Guleria S, Mohapatra T, Parsad R, Mariappan N, Kurungara VK, Atwal SS, Prabhu KV, Singh NK, Singh AK.

BMC Plant Biol. 2012 Aug 9;12:137. doi: 10.1186/1471-2229-12-137.

11.

Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity.

Sasaki K, Fujita D, Koide Y, Lumanglas PD, Gannaban RB, Tagle AG, Obara M, Fukuta Y, Kobayashi N, Ishimaru T.

J Exp Bot. 2017 May 17;68(11):2693-2702. doi: 10.1093/jxb/erx128.

PMID:
28582550
12.

Characterisation of a novel quantitative trait locus, GN4-1, for grain number and yield in rice (Oryza sativa L.).

Zhou Y, Tao Y, Yuan Y, Zhang Y, Miao J, Zhang R, Yi C, Gong Z, Yang Z, Liang G.

Theor Appl Genet. 2018 Mar;131(3):637-648. doi: 10.1007/s00122-017-3025-y. Epub 2018 Jan 3.

PMID:
29299612
13.

Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis.

Shakiba E, Edwards JD, Jodari F, Duke SE, Baldo AM, Korniliev P, McCouch SR, Eizenga GC.

PLoS One. 2017 Mar 10;12(3):e0172133. doi: 10.1371/journal.pone.0172133. eCollection 2017.

14.

Genetic architecture of aluminum tolerance in rice (Oryza sativa) determined through genome-wide association analysis and QTL mapping.

Famoso AN, Zhao K, Clark RT, Tung CW, Wright MH, Bustamante C, Kochian LV, McCouch SR.

PLoS Genet. 2011 Aug;7(8):e1002221. doi: 10.1371/journal.pgen.1002221. Epub 2011 Aug 4.

15.

Genetic variation and association mapping for 12 agronomic traits in indica rice.

Lu Q, Zhang M, Niu X, Wang S, Xu Q, Feng Y, Wang C, Deng H, Yuan X, Yu H, Wang Y, Wei X.

BMC Genomics. 2015 Dec 16;16:1067. doi: 10.1186/s12864-015-2245-2.

16.

QTLs for branching, floret formation, and pre-flowering floret abortion of rice panicle in a temperate japonica x tropical japonica cross.

Yamagishi J, Miyamoto N, Hirotsu S, Laza RC, Nemoto K.

Theor Appl Genet. 2004 Nov;109(8):1555-61. Epub 2004 Sep 10.

PMID:
15365628
17.

Genetic dissection of ozone tolerance in rice (Oryza sativa L.) by a genome-wide association study.

Ueda Y, Frimpong F, Qi Y, Matthus E, Wu L, Höller S, Kraska T, Frei M.

J Exp Bot. 2015 Jan;66(1):293-306. doi: 10.1093/jxb/eru419. Epub 2014 Nov 4.

18.

Dissecting the genetic basis of heavy panicle hybrid rice uncovered Gn1a and GS3 as key genes.

Wang S, Ma B, Gao Q, Jiang G, Zhou L, Tu B, Qin P, Tan X, Liu P, Kang Y, Wang Y, Chen W, Liang C, Li S.

Theor Appl Genet. 2018 Jun;131(6):1391-1403. doi: 10.1007/s00122-018-3085-7. Epub 2018 Mar 15.

PMID:
29546444
19.

Comparison of quantitative trait loci for rice yield, panicle length and spikelet density across three connected populations.

Liu T, Li L, Zhang Y, Xu C, Li X, Xing Y.

J Genet. 2011 Aug;90(2):377-82. No abstract available.

20.

[Substitution mapping of QTL for panicle exertion using CSSL in rice (Oryza sativa L.)].

Yang DW, Zhu Z, Zhang YD, Lin J, Chen T, Zhao L, Zhu WY, Wang CL.

Yi Chuan. 2009 Jul;31(7):741-7. Chinese.

PMID:
19586880

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