Crop model based QTL analysis across environments and QTL based estimation of time to floral induction and flowering in Brassica oleracea

Molecular Breeding

Volumn 21, Issue 2, 2008, Pages 205-216

  Uptmoor, Ralf ^a   Schrag, Tobias ^a,b   Stützel, Hartmut ^a   Esch, Elisabeth ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b UNIVERSITY OF HOHENHEIM   (Germany)

Author keywords

Combining QTL and crop models; Facultative vernalization; Floral induction; G x E interactions; Time to flowering

Indexed keywords

PLANTS (BOTANY);

COMBINING QUANTITATIVE TRAIT LOCUS AND CROP MODEL; CROP MODELING; FACULTATIVE VERNALIZATION; FLORAL INDUCTION; G X E INTERACTION; LOCI ANALYSIS; MODEL-BASED OPC; PHENOTYPIC VARIATIONS; QUANTITATIVE TRAIT LOCUS; TIME TO FLOWERING;

CROPS;

BRASSICA OLERACEA; BRASSICA OLERACEA VAR. CAPITATA;

EID: 37549065187     PISSN: 13803743     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11032-007-9121-y     Document Type: Article

References (40)

1. Axelsson T, Shavorskaya O, Lagercrantz U (2001) Multiple flowering time QTLs within several Brassica species could be the result of duplicated copies of one ancestral gene. Genome 44:856-864
2. Baenziger PS, McMaster GS, Wilhelm WW, Weiss A, Hays CJ (2004) Putting genes into genetic coefficients. Field Crops Res 90:133-143
3. Blázquez MA (2006) The right time and place for making flowers. Science 309:1024-1025
4. Bohuon EJR, Ramsay LD, Craft JA, Arthur AE, Marshall DF, Lydiate DJ, Kearsey MJ (1998) The association of flowering time quantitative trait loci with duplicated regions and candidate loci in Brassica oleracea. Genetics 150:393-401
5. Boote KJ, Kropff MJ, Bindraban BS (2001) Physiology and modelling of traits in crop plants: implications for genetic improvement. Agric Syst 70:395-420
6. Caicedo AL, Stinchcombe JR, Olsen KM, Schmitt J, Purugganan MD (2004) Epistatic interaction between Arabidopsis FRI and FLC flowering time genes generates a latitudinal cline in a life history trait. Proc Natl Acad Sci USA 101:15670-15675
7. Grevsen K (1998) Effects of temperature on head growth of broccoli (Brassica oleracea L. var. italica): parameter estimates for a predictive model. J Hortic Sci Biotechnol 73:235-244
8. Haley CS, Knott SA (1992) A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69:315-324
9. Hammer GL, Sinclair TR, Chapman S, van Oosterom E (2004) On systems thinking, systems biology and the in silico plant. Plant Physiol 134:909-911
10. Hill J, Becker HC, Tigerstedt PMA (1998) Quantitative and ecological aspects of plant breeding. Chapman & Hall, London
11. Hoogenboom GJ, White W, Acosta-Gallegos J, Gaudiel RG, Myers JR, Silbernagel MJ (1997) Evaluation of a crop simulation model that incorporates gene action. Agron J 89:613-620
12. Jansen RC, Stam P (1994) High resolution of quantitative traits into multiple loci via interval mapping. Genetics 136:1447-1455
13. Kearsey MJ, Farquhar AGL (1998) QTL analysis in plants: where are we now? Heredity 80:137-142
14. Kim KW, Shin JH, Moon J, Kim M, Lee J, Park MC, Lee I (2003) The function of the flowering time gene AGL20 is conserved in crucifers. Mol Cells 16:136-141
15. Lagercrantz U, Putterill J, Coupland G, Lydiate D (1996) Comparative mapping in Arabidopsis and Brassica, fine scale genome collinearity and congruence of genes controlling flowering time. Plant J 9:13-20
16. Lee M (1998) Genome projects and gene pools: new germplasm for plant breeding? Proc Natl Acad Sci USA 95:2001-2004
17. Leon AJ, Lee M, Andrade FH (2001) Quantitative trait loci for growing degree days to flowering and photoperiod response in sunflower (Helianthus annuus L.). Theor Appl Genet 102:497-503
18. Lin SI, Wang JG, Poon SY, Su CL, Wang SS, Chiou TJ (2005) Differential regulation of FLOWERING LOCUS C expression by vernalization in cabbage and Arabidopsis. Plant Physiol 137:1037-1048
19. Malosetti M, Visser RGF, Celis-Gamboa C, van Eeuwijk A (2006) QTL methodology for response curves on the basis of non-linear mixed models, with an illustration to senescence in potato. Theor Appl Genet 113:288-300
20. Mayes S, Parsley K, Sylvester-Bradley R, May S, Foulkes J (2005) Integrating genetic information into plant breeding programmes: how will we produce varieties from molecular variation, using bioinformatics? Ann Appl Biol 146:223-237
21. Melchinger AE, Utz HF, Schön CC (1998) Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects. Genetics 149:383-403
22. Parcy F (2005) Flowering: a time for integration. Int J Dev Biol 49:585-593
23. Podlich DW, Cooper M (1998) QU-GENE: a simulation platform for quantitative analysis of genetic models. Bioinformatics 14:632-653
24. Quilot B, Kervella J, Genard M, Lescourret F (2005) Simulating genotypic variation of fruit quality in an advanced peach x Prunus davidiana cross. J Exp Bot 56:3071-3081
25. Rae AM, Howell EC, Kearsey MJ (1999) More QTL for fowering time revealed by substitution lines in Brassica oleracea. Heredity 83:586-596
26. Reymond M, Muller B, Leonardi A, Charcosset A, Tardieu F (2003) Combining QTL analysis and an ecophysiological model to analyse the genetic variability of the responses of leaf growth to temperature and water deficit. Plant Physiol 131:664-675
27. Reymond M, Muller B, Tardieu F (2004) Dealing with the genotype × environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters. J Exp Bot 55:2461-2472
28. Schranz ME, Osborn TC (2000) Novel flowering time variation in resynthesized polyploid Brassica napus. Genetics 91:242-246
29. Sebastian RL, Howell EC, King GJ, Marshall DF, Kearsey MJ (2000) An integrated AFLP and RFLP Brassica oleracea linkage map from two morphologically distinct doubled haploid mapping populations. Theor Appl Genet 100:75-81
30. Sebastian RL, Kearsey MJ, King GJ (2002) Identification of quantitative trait loci controlling developmental characteristics of Brassica oleracea L. Theor Appl Genet 104:601-609
31. Slafer GA (2003) Genetic basis of yield as viewed from a crop physiologist's perspective. Ann Appl Biol 142:117-128
32. Tardieu F (2003) Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. Trends Plant Sci 8:9-14
33. Travasso MI, Magrin GO (1998) Utility of CERES-Barley under Argentine conditions. Field Crops Res 57:329-333
34. Utz HF, Melchinger AE (1996) PLABQTL: a programm for composite interval mapping of QTL. J Quant Trait Loci 2:1-5
35. Vales MI, Schön CC, Capettini F, Chen XM, Corey AE, Mather DE Mundt CC, Richardson KL, Sandoval-Islas JS, Utz HF, Hayes PM (2005) Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust. Theor Appl Genet 111:1260-1270
36. Welch SM, Roe JL, Dong Z (2003) A genetic neural network model of flowering time control in Arabidopsis thaliana. Agron J 95:71-81
37. Wiebe HJ (1990) Vernalization of vegetable crops-a review. Acta Hortic 267:323-328
38. Yin X, Chasalow S, Dourleijn CJ, Stam P, Kropff MJ (2000) Coupling estimated effects of QTLs for physiological traits to a crop growth model: predicting yield variation among recombinant inbred lines in barley. Heredity 85:539-549
39. Yin X, Struik PC, Tang J, Qi C, Liu T (2005a) Model analysis of flowering phenology in recombinant inbred lines of barley. J Exp Bot 56:959-965
40. Yin X, Struik PC, van Eeuwijk FA, Stam P, Tang J (2005b) QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley. J Exp Bot 56:967-976