1 Liu Z J. Aquaculture Genome Technologies. Oxford, UK: Blackwell Publishing, Ames, IA, 2007
[2]
2 Gui J F, Zhu Z Y. Molecular basis and genetic improvement of economically important traits in aquaculture animals. Chin Sci Bull, 2012, 57: 1751-1760
[3]
3 Crooijmans R, Poel J J, Groenen M A M, et al. Microsatellite markers in common carp (Cyprinus carpio L.). Anim Genet, 1997, 28: 129-134
[4]
4 David L, Rajasekaran P, Fang J, et al. Polymorphism in ornamental and common carp strains (Cyprinus carpio L.) as revealed by aflp analysis and a new set of microsatellite markers. Mol Genet Genomics, 2001, 266: 353-362
[5]
5 Hou N, Li D Y, Li Y, et al. Development of 10 tri- and tetranucleotide microsatellite loci for population studies in the common carp (Cyprinus carpio L.). Mol Ecol Resour, 2008, 8: 1357-1359
[6]
6 Sun X W, Liang L Q. A genetic linkage map of common carp (Cyprinus carpio L.) and mapping of a locus associated with cold tolerance. Aquaculture, 2004, 238: 165-172
[7]
7 Zheng X H, Kuang Y Y, Zhang X F, et al. A genetic linkage map and comparative genome analysis of common carp (Cyprinus carpio L.) using microsatellites and snps. Mol Genet Genomics, 2011, 286: 261-277
9 Li Y, Xu P, Zhao Z X, et al. Construction and characterization of the bac library for common carp Cyprinus carpio L. and establishment of microsynteny with zebrafish danio rerio. Mar Biotechnol, 2011, 13: 706-712
[10]
10 Xu P, Li J, Li Y, et al. Genomic insight into the common carp(Cyprinus carpio) genome by sequencing analysis of BAC-end sequences. BMC genomics, 2011, 12: 188
[11]
11 Xu P, Wang J, Wang J T, et al. Generation of the first BAC-based physical map of the common carp genome. BMC Genomics, 2011, 12: 537
14 Zhang Y, Xu P, Lu C Y, et al. Genetic linkage mapping and analysis of muscle fiber-related QTLs in common carp (Cyprinus carpio L.). Mar Biotechnol, 2011, 13: 376-392
17 Coles N D, McMullen M D, Balint-Kurti P J, et al. Genetic control of photoperiod sensitivity in maize revealed by joint multiple population analysis. Genetics, 2010, 184: 799-812
[18]
18 Liu T, Zhang Y, Xue W, et al. Comparison of quantitative trait loci for 1,000-grain weight and spikelets per panicle across three connected rice populations. Euphytica, 2010, 175: 383-394
[19]
19 Marcel T C, Varshney R, Barbieri M, et al. A high-density consensus map of barley to compare the distribution of QTLs for partial resistance to puccinia hordei and of defence gene homologues. Theor Appl Genet, 2007, 114: 487-500
[20]
20 Martin M, Miedaner T, Schwegler D D, et al. Comparative quantitative trait loci mapping for gibberella ear rot resistance and reduced deoxynivalenol contamination across connected maize populations. Crop Sci, 2012, 52: 32-43
[21]
21 Liu G, Kim J J, Jonas E, et al. Combined line-cross and half-sib QTL analysis in duroc-pietrain population. Mamm Genome, 2008, 19: 429-438
[22]
22 Nagamine Y, Haley C S, Sewalem A, et al. Quantitative trait loci variation for growth and obesity between and within lines of pigs (sus scrofa). Genetics, 2003, 164: 629-635
[23]
23 Walling G, Visscher P, Wilson A, et al. Mapping of quantitative trait loci for growth and carcass traits in commercial sheep populations. J Anim Sci, 2004, 82: 2234
[24]
24 Wang C M, Lo L C, Feng F, et al. Identification and verification of QTL associated with growth traits in two genetic backgrounds of barramundi (Lates calcarifer). Anim Genet, 2008, 39: 34-39
[25]
25 Hayes B J, Gjuvsland A, Omholt S. Power of QTL mapping experiments in commercial atlantic salmon populations, exploiting linkage and linkage disequilibrium and effect of limited recombination in males. Heredity, 2006, 97: 19-26
[26]
26 Van Ooijen J. JoinMap？ 4, software for the calculation of genetic linkage maps in experimental populations. The Netherlands: Kyazma BV, Wageningen, 2006
[27]
27 Kosambi D. The estimation of map distances from recombination values. Ann Eugen, 1944, 12: 172-175
[28]
28 Van Ooijen J. MapQTL？ 6, software for the mapping of quantitative trait loci in experimental populations of diploid species. The Netherlands: Kyazma BV, Wageningen, 2009
30 Millan T, Winter P, Jüngling R, et al. A consensus genetic map of chickpea (Cicer arietinum L.) based on 10 mapping populations. Euphytica, 2010, 175: 175-189
[31]
31 Gustafson J P, Ma X F, Korzun V, et al. A consensus map of rye integrating mapping data from five mapping populations. Theor Appl Genet, 2009, 118: 793-800
[32]
32 Li H, Kilian A, Zhou M, et al. Construction of a high-density composite map and comparative mapping of segregation distortion regions in barley. Mol Genetics Genomics, 2010, 284: 319-331
[33]
33 Lombard V, Delourme R. A consensus linkage map for rapeseed (Brassica napus L.): Construction and integration of three individual maps from dh populations. Theor Appl Genet, 2001, 103: 491-507
[34]
34 Wang L, Liu W, Xu Y, et al. Genetic basis of 17 traits and viscosity parameters characterizing the eating and cooking quality of rice grain. Theor Appl Genet, 2007, 115: 463-476
[35]
35 Barton N H, Keightley P D. Understanding quantitative genetic variation. Nat Rev Genet, 2002, 3: 11-21
[36]
36 Beavis W, Grant D, Albertsen M, et al. Quantitative trait loci for plant height in four maize populations and their associations with qualitative genetic loci. Theor Appl Genet, 1991, 83: 141-145
[37]
37 Hill W G. Understanding and using quantitative genetic variation. PhilosoT R Soc B, 2010, 365: 73-85
[38]
38 Farrall M. Quantitative genetic variation: A post-modern view. Hum Mol Genet, 2004, 13: R1-R7
[39]
39 Mihaljevic R U, Melchinger H F, Albrecht E. Congruency of quantitative trait loci detected for agronomic traits in testcrosses of five populations of european maize. Crop Sci, 2004, 44: 114
