Ribaut JM - Search Results

1

More genomic resources for less-studied crops.

Varshney RK, Glaszmann JC, Leung H, Ribaut JM. Varshney RK, et al. Among authors: ribaut jm. Trends Biotechnol. 2010 Sep;28(9):452-60. doi: 10.1016/j.tibtech.2010.06.007. Epub 2010 Aug 6. Trends Biotechnol. 2010. PMID: 20692061 Review.

2

Can genomics boost productivity of orphan crops?

Varshney RK, Ribaut JM, Buckler ES, Tuberosa R, Rafalski JA, Langridge P. Varshney RK, et al. Among authors: ribaut jm. Nat Biotechnol. 2012 Dec;30(12):1172-6. doi: 10.1038/nbt.2440. Nat Biotechnol. 2012. PMID: 23222781 No abstract available.

3

Analytical and Decision Support Tools for Genomics-Assisted Breeding.

Varshney RK, Singh VK, Hickey JM, Xun X, Marshall DF, Wang J, Edwards D, Ribaut JM. Varshney RK, et al. Among authors: ribaut jm. Trends Plant Sci. 2016 Apr;21(4):354-363. doi: 10.1016/j.tplants.2015.10.018. Epub 2015 Dec 2. Trends Plant Sci. 2016. PMID: 26651919 Free article. Review.

4

Modernising breeding for orphan crops: tools, methodologies, and beyond.

Ribaut JM, Ragot M. Ribaut JM, et al. Planta. 2019 Sep;250(3):971-977. doi: 10.1007/s00425-019-03200-8. Epub 2019 Jun 29. Planta. 2019. PMID: 31256257 Review.

5

Genetic association mapping identifies single nucleotide polymorphisms in genes that affect abscisic acid levels in maize floral tissues during drought.

Setter TL, Yan J, Warburton M, Ribaut JM, Xu Y, Sawkins M, Buckler ES, Zhang Z, Gore MA. Setter TL, et al. Among authors: ribaut jm. J Exp Bot. 2011 Jan;62(2):701-16. doi: 10.1093/jxb/erq308. Epub 2010 Nov 17. J Exp Bot. 2011. PMID: 21084430 Free PMC article.

6

Marker-assisted selection to improve drought adaptation in maize: the backcross approach, perspectives, limitations, and alternatives.

Ribaut JM, Ragot M. Ribaut JM, et al. J Exp Bot. 2007;58(2):351-60. doi: 10.1093/jxb/erl214. Epub 2006 Dec 6. J Exp Bot. 2007. PMID: 17158111 Review.

7

Genome-wide association analysis for nine agronomic traits in maize under well-watered and water-stressed conditions.

Xue Y, Warburton ML, Sawkins M, Zhang X, Setter T, Xu Y, Grudloyma P, Gethi J, Ribaut JM, Li W, Zhang X, Zheng Y, Yan J. Xue Y, et al. Among authors: ribaut jm. Theor Appl Genet. 2013 Oct;126(10):2587-96. doi: 10.1007/s00122-013-2158-x. Epub 2013 Jul 25. Theor Appl Genet. 2013. PMID: 23884600

8

Joint linkage-linkage disequilibrium mapping is a powerful approach to detecting quantitative trait loci underlying drought tolerance in maize.

Lu Y, Zhang S, Shah T, Xie C, Hao Z, Li X, Farkhari M, Ribaut JM, Cao M, Rong T, Xu Y. Lu Y, et al. Among authors: ribaut jm. Proc Natl Acad Sci U S A. 2010 Nov 9;107(45):19585-90. doi: 10.1073/pnas.1006105107. Epub 2010 Oct 25. Proc Natl Acad Sci U S A. 2010. PMID: 20974948 Free PMC article.

9

Simulating the effect of flowering time on maize individual leaf area in contrasting environmental scenarios.

Lacube S, Manceau L, Welcker C, Millet EJ, Gouesnard B, Palaffre C, Ribaut JM, Hammer G, Parent B, Tardieu F. Lacube S, et al. Among authors: ribaut jm. J Exp Bot. 2020 Sep 19;71(18):5577-5588. doi: 10.1093/jxb/eraa278. J Exp Bot. 2020. PMID: 32526015 Free PMC article.

10

Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods.

Vargas M, van Eeuwijk FA, Crossa J, Ribaut JM. Vargas M, et al. Among authors: ribaut jm. Theor Appl Genet. 2006 Apr;112(6):1009-23. doi: 10.1007/s00122-005-0204-z. Epub 2006 Mar 15. Theor Appl Genet. 2006. PMID: 16538513

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