Erratum: Unlocking the genetic diversity of Creole wheats (Scientific Reports (2016) 6 (23092) DOI: 10.1038/srep23092);Unlocking the genetic diversity of Creole wheats

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Vikram, Prashant ^a   Franco, Jorge ^b   Burgueño Ferreira, Juan ^a   Li, Huihui ^c   Sehgal, Deepmala ^a   Saint Pierre, Carolina ^a   Ortiz, Cynthia ^a   Sneller, Clay ^d   Tattaris, Maria ^a   Guzman, Carlos ^a   Sansaloni, Carolina Paola ^a   Fuentes Davila, Guillermo ^e   Reynolds, Matthew ^a   Sonders, Kai ^a   Singh, Pawan ^a   Payne, Thomas ^a   Wenzl, Peter ^a   Sharma, Achla ^f   Bains, Navtej Singh ^f   Singh, Gyanendra Pratap ^g   Crossa, José ^a   Singh, Sukhwinder ^a   more..

^a INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

^b Estación Experimental Dr Mario A Cassinoni   (Uruguay)

^c INSTITUTE OF PLANT PROTECTION   (China)

^d OHIO STATE UNIVERSITY   (United States)

^e INSTITUTO NACIONAL DE INVESTIGACIONES FORESTALES   (Mexico)

^f PUNJAB AGRICULTURAL UNIVERSITY   (India)

^g INDIAN AGRICULTURAL RESEARCH INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; GENE FREQUENCY; GENETIC VARIABILITY; HUMAN; HUMAN EXPERIMENT; LANDRACE; MEXICO; WHEAT; ALGORITHM; BIOLOGICAL MODEL; CLASSIFICATION; GENE FLOW; GENETIC VARIATION; GENETICS; GENOTYPE; GEOGRAPHY; PHENOTYPE; PHYLOGENY; PLANT BREEDING; PLANT CHROMOSOME; PLANT GENOME; POLYPLOIDY; PRINCIPAL COMPONENT ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; SPECIES DIFFERENCE;

ALGORITHMS; ALLELES; CHROMOSOMES, PLANT; GENE FLOW; GENE FREQUENCY; GENETIC VARIATION; GENOME, PLANT; GENOTYPE; GEOGRAPHY; MEXICO; MODELS, GENETIC; PHENOTYPE; PHYLOGENY; PLANT BREEDING; POLYMORPHISM, SINGLE NUCLEOTIDE; POLYPLOIDY; PRINCIPAL COMPONENT ANALYSIS; SPECIES SPECIFICITY; TRITICUM;

EID: 84962617718     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep26216     Document Type: Erratum

References (55)

1. Asseng, S. et al. Rising temperatures reduce global wheat production Nature Climate Change 5, 143-147 (2015).
2. IPCC 2007: IPCC Fourth Assessment Report: Climate Change 2007 (AR4), Working Group I Report "The Physical Science Basis". Available at: https://www.ipcc.ch/publications-And-data/ar4/wg1/en/spmsspm-projections-of.html (Accessed: 15th July 2015).
3. Ray, D. K., Gerber, J. S., MacDonald, G. K. & West, P. C. Climate variation explains a third of global crop yield variability. Nature Commun 6, 1-9 (2015).
4. Lobell, D. B. & Field, C. B. Global scale climate-crop yield relationships and the impacts of recent warming. Environ Res Lett 2, 014002 (2007).
5. FAO-CSA Sourcebook, available on FAOs (2013). website: http://www.fao.org/climatechange/37491-0c425f2caa2f5e6f3b9162d39c 8507fa3.pdf (Accessed: 15th July 2015).
6. United Nations, Department of economic and social afairs., World population prospects: The 2012 revision, Technical Report. (2013) Available at: http://esa.un.org/unpd/wpp/publications/Files/WPP2012-HIGHLIGHTS.pdf (Accessed: 14th February 2016).
7. Ray, D. K., Mueller, N. D., West, P. C. & Foley, J. A. Yield trends are insufficient to double global crop production by 2050. PLoS ONE 8(6), e66428 (2013).
8. FAO. Coping with climate change-The roles of genetic resources for food and agriculture. Rome, available at http://www.fao.org/3/ai3866e. pdf (2015). (Accessed: 15th July 2015).
9. Lopes, M. S. et al. Exploiting genetic diversity from landraces in wheat breeding for adaptation to climate change. J Exp Bot 66, 3477-3486 (2015).
10. Xu, Y. B. Molecular Plant Breeding (CABI, 2010).
11. Gale, M. D. & Marshall, G. A. Chromosomal location of Gai-1 and Rht-1, genes for gibberellin insensitivity and semi-dwarfism, in a derivative of Norin-10 wheat. Heredity 37, 283-289 (1976).
12. Murai, M., Takamure, I., Sato, S., Tokutome, T. & Sato, Y. Effects of the dwarfing gene originating from Dee-geo-woo-gen on yield and its related traits in rice. Breed Sci 52, 95-100 (2002).
13. Lyu, J. et al. Analysis of elite variety tag SNPs reveals an important allele in upland rice. Nat Commun 4, 2138 (2013).
14. Fuller, D. Q. Contrasting patterns in crop domestication and domestication rates: Recent archaeobotanical insights from the Old World. Ann Bot 100, 903-924 (2007).
15. Charmet, G. Wheat domestication: Lessons for the future. Comptes Rendus Biologies 334, 212-220 (2011).
16. Peng, J. H., Sun, D. & Nevo, E. Domestication evolution, genetics and genomics in wheat. Mol Breed 28, 281-301 (2011).
17. Guzman, C., Ortega, R., Yamamori, M., Peña, R. & Alvarez, J. Molecular characterization of two novel null waxy alleles in Mexican bread wheat landraces. J Cereal Sci 62, 8e14 (2015).
18. Magaña, V. Evaluación de escenarios regionales de clima actual y de cambio climático futuro para México. Retrieved 04 13, 2015, from http://www.atmosfera.unam.mx/cclimat/publicaciones/cambio-climatico/escena.pdf (2012). (Accessed: 15th July 2015).
19. "Seeds of discovery", CIMMYT, Mexico: http://seedsofdiscovery.org/en/. (Accessed: 15th July 2015).
20. Li, H. et al. A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits. BMC Genomics 16, 216 (2015).
21. Skovmand, B., Fox, P. N., Varughese, G. & Gonzalez-de-Leon, D. International activities in wheat germplasm: CIMMYTs perspective. In: Duncan, R.R. (ed.). International Germplasm Transfer: Past and Present, pp. 135-148, CSSA Special Publication Number 23. American Society of Agronomy, Inc., Soil Science Society of America, Inc., Madison, Wisconsin, USA (1995). CONABIO report available at CIMMYTs data repository, www.cimmyt.org. (Accessed: 15th July 2015).
22. Brown, A. H. D. Core collections: A practical approach to genetic resources management. Genome 31, 818-824 (1989).
23. Balfourier, F., Roussel, V., Strelchenko, P., Exbrayat-Vinson, F. & Sourdille-Boutet, G. A. Worldwide bread wheat core collection arrayed in a 384-well plate. Theor Appl Genet 114, 1265-1275 (2007).
24. Wingen, L. U. et al. Establishing the A.E. Watkins landrace cultivar collection as a resource for systematic gene discovery in wheat. Theor Appl Genet 127(8), 1831-42 (2014).
25. Martynov, S. P. et al. Genealogical approach to the formation of the winter wheat core collection. Genetika 39, 1091-1098 (2003).
26. Vieira, E. A., Carvalho, F. I. F., Bertan, I., Kopp, M. M., Zimmer, P., Benin, G. et al. Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers. Genet Mol Biol 30, 392-399 (2007).
27. Franco, J., Crossa, J. & Desphande, S. Hierarchical Multiple-Factor Analysis for classifying genotypes based on phenotypic and genetic data. Crop Sci 50, 105-117 (2010).
28. Gower, J. C. A general coefficient of similarity and some of its properties. Biometrics 27, 857-874 (1971).
29. Frei, M. & Becker, K. Agro-biodiversity in subsistence-oriented farming systems in a Philippine upland region: nutritional considerations. Biodivers Conserv 13, 1591-1610 (2004).
30. Vikram, P. et al. Drought susceptibility of the modern rice varieties: An effect of linkage of drought tolerance with undesirable traits. Nat Sci Rep 5, 14799 (2015)
31. Hede, A. R. et al. Evaluating genetic diversity for heat tolerance traits in Mexican wheat landraces. Genet Resour Crop Ev 46, 37-45 (1999).
32. DeLacy, I. H., Skovmand, B. & Huerta, J. Characterization of Mexican wheat landraces using agronomically useful attributes. Genet Resour Crop Ev 47, 591-602 (2000).
33. Reynolds, M., Dreccer, F. & Trethowan, R. Drought-Adaptive traits derived from wheat wild relatives and landraces. J Exp Bot 58, 177-186 (2007).
34. Hoisington, D., Khairallah, M. & Gonzalez-de-Leon, D. Laboratory protocols, CIMMYT Applied Molecular Genetics Laboratory, 2nd ed. CIMMYT, Mexico, DF (1994).
35. Diversity Arrays Technology, Canberra, Australia: http://www.diversityarrays.com/. (Accessed: 15th July 2015).
36. ESRI (2015). ArcGIS Desktop Help 10.2.2. URL: http://resources.arcgis.com/en/help/.
37. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25, 1965-1978 (2005).
38. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Worldclim Version 1.4 (release 3). 30s Monthly temperature and rainfall grids (2014). URL: www.worldclim.org. (Accessed: 7th March 2015).
39. AACC International. Approved methods of the American Association of Cereal Chemists, 10th edition. The Association, St. Paul, MN (2000).
40. Peña, R. J., Amaya, A., Rajaram, S. & Mujeeb-Kazi, A. Variation in quality characteristics associated with some spring 1B/1R translocation wheats. J Cereal Sci 12, 105-112 (1990).
41. Hao, Y. et al. Characterization of a major QTL for adult plant resistance to stripe rust in US soft red winter wheat. Theor Appl Genet 123, 1401-1411 (2011).
42. Peterson, R. F., Campbell, A. B. & Hannah, A. E. A diagrammatic scale for rust intensity on leaves and stems of cereals. Can J Res 26, 496-500 (1948).
43. Escoffier, B. & Pages, J. Analyses factorielles simpleset multiples. 3rd edition. Paris: Dunod (1998).
44. Le-Dien, S. & Pagès, J. Hierarchical Multiple Factor Analysis: Application to the comparison of sensory profiles. Food Qual Prefer 14, 397-403 (2003).
45. R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
46. SAS® 9.4 (2013). Cary, NC: SAS Institute Inc.
47. Bradbury, P. J. et al. TASSEL: Software for association mapping of complex traits in diverse samples. TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics 23, 2633-2635 (2007).
48. Nei, M. Analysis of genetic diversity in subdivided populations. Proc Natl Acad Sci USA 70, 3321-3323 (1973).
49. Wright, S. The genetical structure of populations. Ann Eugen 15, 323-354 (1951).
50. Raymond, M. & Rousset, F. GENEPOP Version 1.2: population genetics software for exact tests and ecumenicism. J Hered 86, 248-249 (1995).
51. Kent, W. J. BLAT-The BLAST-Like Alignment Tool. Genome Res 12(4), 656-664 (2002). URL: http://doi.org/10.1101/gr.229202.
52. Monaco, N. K. et al. Gramene 2013: comparative plant genomics resources. Nucleic Acids Res 42(D1), D1193-D1199 (2014).
53. Weir, B. S. Genetic data analysis. Methods for discrete population genetic data[M]. Sinauer Associates, Inc. Publishers (1990).
54. Josse, L. S. J. & Husson, F. FactoMineR: An R package for multivariate analysis. J Stat Soft 25, 1-18 (2008).
55. Franco, J., Crossa, J., Taba, S. & Shands, H. A. Sampling strategy for conserving genetic diversity when forming core subsets. Crop Sci 45, 1035-1044 (2005).