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Items: 1 to 20 of 124

1.

Open access resources for genome-wide association mapping in rice.

McCouch SR, Wright MH, Tung CW, Maron LG, McNally KL, Fitzgerald M, Singh N, DeClerck G, Agosto-Perez F, Korniliev P, Greenberg AJ, Naredo ME, Mercado SM, Harrington SE, Shi Y, Branchini DA, Kuser-Falcão PR, Leung H, Ebana K, Yano M, Eizenga G, McClung A, Mezey J.

Nat Commun. 2016 Feb 4;7:10532. doi: 10.1038/ncomms10532. Erratum in: Nat Commun. 2016;7:11346.

2.

Genome wide association mapping for grain shape traits in indica rice.

Feng Y, Lu Q, Zhai R, Zhang M, Xu Q, Yang Y, Wang S, Yuan X, Yu H, Wang Y, Wei X.

Planta. 2016 Oct;244(4):819-30. doi: 10.1007/s00425-016-2548-9. Epub 2016 May 19.

3.

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.

4.

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.

5.

Time-course association mapping of the grain-filling rate in rice (Oryza sativa L.).

Liu E, Liu X, Zeng S, Zhao K, Zhu C, Liu Y, Breria MC, Zhang B, Hong D.

PLoS One. 2015 Mar 19;10(3):e0119959. doi: 10.1371/journal.pone.0119959. eCollection 2015.

6.

Genetic analysis for rice grain quality traits in the YVB stable variant line using RAD-seq.

Peng Y, Hu Y, Mao B, Xiang H, Shao Y, Pan Y, Sheng X, Li Y, Ni X, Xia Y, Zhang G, Yuan L, Quan Z, Zhao B.

Mol Genet Genomics. 2016 Feb;291(1):297-307. doi: 10.1007/s00438-015-1104-9. Epub 2015 Sep 3.

PMID:
26334612
7.

A Novel Tiller Angle Gene, TAC3, together with TAC1 and D2 Largely Determine the Natural Variation of Tiller Angle in Rice Cultivars.

Dong H, Zhao H, Xie W, Han Z, Li G, Yao W, Bai X, Hu Y, Guo Z, Lu K, Yang L, Xing Y.

PLoS Genet. 2016 Nov 4;12(11):e1006412. doi: 10.1371/journal.pgen.1006412. eCollection 2016 Nov.

8.

From QTL to variety-harnessing the benefits of QTLs for drought, flood and salt tolerance in mega rice varieties of India through a multi-institutional network.

Singh R, Singh Y, Xalaxo S, Verulkar S, Yadav N, Singh S, Singh N, Prasad KSN, Kondayya K, Rao PVR, Rani MG, Anuradha T, Suraynarayana Y, Sharma PC, Krishnamurthy SL, Sharma SK, Dwivedi JL, Singh AK, Singh PK, Nilanjay, Singh NK, Kumar R, Chetia SK, Ahmad T, Rai M, Perraju P, Pande A, Singh DN, Mandal NP, Reddy JN, Singh ON, Katara JL, Marandi B, Swain P, Sarkar RK, Singh DP, Mohapatra T, Padmawathi G, Ram T, Kathiresan RM, Paramsivam K, Nadarajan S, Thirumeni S, Nagarajan M, Singh AK, Vikram P, Kumar A, Septiningshih E, Singh US, Ismail AM, Mackill D, Singh NK.

Plant Sci. 2016 Jan;242:278-287. doi: 10.1016/j.plantsci.2015.08.008. Epub 2015 Aug 20.

PMID:
26566845
9.

Resequencing rice genomes: an emerging new era of rice genomics.

Huang X, Lu T, Han B.

Trends Genet. 2013 Apr;29(4):225-32. doi: 10.1016/j.tig.2012.12.001. Epub 2013 Jan 4. Review.

PMID:
23295340
10.

Linkages and Interactions Analysis of Major Effect Drought Grain Yield QTLs in Rice.

Vikram P, Swamy BP, Dixit S, Trinidad J, Sta Cruz MT, Maturan PC, Amante M, Kumar A.

PLoS One. 2016 Mar 28;11(3):e0151532. doi: 10.1371/journal.pone.0151532. eCollection 2016.

11.

OsSPL13 controls grain size in cultivated rice.

Si L, Chen J, Huang X, Gong H, Luo J, Hou Q, Zhou T, Lu T, Zhu J, Shangguan Y, Chen E, Gong C, Zhao Q, Jing Y, Zhao Y, Li Y, Cui L, Fan D, Lu Y, Weng Q, Wang Y, Zhan Q, Liu K, Wei X, An K, An G, Han B.

Nat Genet. 2016 Apr;48(4):447-56. doi: 10.1038/ng.3518. Epub 2016 Mar 7.

PMID:
26950093
12.

Genetic Diversity and Phenotypic Variation in an Introgression Line Population Derived from an Interspecific Cross between Oryza glaberrima and Oryza sativa.

Chen C, He W, Nassirou TY, Zhou W, Yin Y, Dong X, Rao Q, Shi H, Zhao W, Efisue A, Jin D.

PLoS One. 2016 Sep 7;11(9):e0161746. doi: 10.1371/journal.pone.0161746. eCollection 2016.

13.

Genome-wide association studies reveal that members of bHLH subfamily 16 share a conserved function in regulating flag leaf angle in rice (Oryza sativa).

Dong H, Zhao H, Li S, Han Z, Hu G, Liu C, Yang G, Wang G, Xie W, Xing Y.

PLoS Genet. 2018 Apr 4;14(4):e1007323. doi: 10.1371/journal.pgen.1007323. eCollection 2018 Apr.

14.

High-density genetic map construction and QTLs analysis of grain yield-related traits in sesame (Sesamum indicum L.) based on RAD-Seq techonology.

Wu K, Liu H, Yang M, Tao Y, Ma H, Wu W, Zuo Y, Zhao Y.

BMC Plant Biol. 2014 Oct 10;14:274. doi: 10.1186/s12870-014-0274-7.

15.

Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice.

Zeng Y, Ji Z, Wen Z, Liang Y, Yang C.

PLoS One. 2016 Mar 4;11(3):e0150832. doi: 10.1371/journal.pone.0150832. eCollection 2016.

16.

Genomewide SNP variation reveals relationships among landraces and modern varieties of rice.

McNally KL, Childs KL, Bohnert R, Davidson RM, Zhao K, Ulat VJ, Zeller G, Clark RM, Hoen DR, Bureau TE, Stokowski R, Ballinger DG, Frazer KA, Cox DR, Padhukasahasram B, Bustamante CD, Weigel D, Mackill DJ, Bruskiewich RM, Rätsch G, Buell CR, Leung H, Leach JE.

Proc Natl Acad Sci U S A. 2009 Jul 28;106(30):12273-8. doi: 10.1073/pnas.0900992106. Epub 2009 Jul 13.

17.

Genetic mechanisms underlying yield potential in the rice high-yielding cultivar Takanari, based on reciprocal chromosome segment substitution lines.

Takai T, Ikka T, Kondo K, Nonoue Y, Ono N, Arai-Sanoh Y, Yoshinaga S, Nakano H, Yano M, Kondo M, Yamamoto T.

BMC Plant Biol. 2014 Nov 18;14:295. doi: 10.1186/s12870-014-0295-2.

18.

Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement.

Spindel JE, Begum H, Akdemir D, Collard B, Redoña E, Jannink JL, McCouch S.

Heredity (Edinb). 2016 Apr;116(4):395-408. doi: 10.1038/hdy.2015.113. Epub 2016 Feb 10.

19.

A quantitative genetic framework highlights the role of epistatic effects for grain-yield heterosis in bread wheat.

Jiang Y, Schmidt RH, Zhao Y, Reif JC.

Nat Genet. 2017 Dec;49(12):1741-1746. doi: 10.1038/ng.3974. Epub 2017 Oct 16.

PMID:
29038596
20.

Developing high throughput genotyped chromosome segment substitution lines based on population whole-genome re-sequencing in rice (Oryza sativa L.).

Xu J, Zhao Q, Du P, Xu C, Wang B, Feng Q, Liu Q, Tang S, Gu M, Han B, Liang G.

BMC Genomics. 2010 Nov 24;11:656. doi: 10.1186/1471-2164-11-656.

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