[1] Zhong ZZ, Wu WX, Wang HJ, et al. Fine mapping of a minor-effect qtl, dth12, controlling heading date in rice by up-regulation of florigen genes under long-day conditions [J]. Molecular Breeding, 2014,34(2):311-322.
[2] Zhu JY, Zhou Y, Liu YH, et al. Fine mapping of a major qtl controlling panicle number in rice [J]. Molecular Breeding, 2011,27(2):171-180.
[3] Yang YL, Xu J, Leng YJ, et al. Quantitative trait loci identification, fine mapping and gene expression profiling for ovicidal response to whitebacked planthopper (sogatella furcifera horvath) in rice (oryza sativa l.) [J]. BMC plant biology, 2014,14(
[4] Yang GH, Dong YB, Li YL, et al. Qtl verification of grain protein content and its correlation with oil content by using connected ril populations of high-oil maize [J]. Genetics and Molecular Research, 2014,13(1):881-894.
[5] Wang YX, Yang LX, Holler M, et al. Pyramiding of ozone tolerance qtls ozt8 and ozt9 confers improved tolerance to season-long ozone exposure in rice [J]. Environ Exp Bot, 2014,104(26-33.
[6] Jonas E, de Koning D-J. Does genomic selection have a future in plant breeding? [J]. Trends in Biotechnology, 2013,31(9):497-504.
[7] Nakaya A, Isobe SN. Will genomic selection be a practical method for plant breeding? [J]. Annals of botany, 2012,110(6):1303-1316.
[8] Meuwissen THE, Hayes BJ, Goddard ME. Prediction of total genetic value using genome-wide dense marker maps [J]. Genetics, 2001,157(4):1819-1829.
[9] Morrell PL, Buckler ES, Ross-Ibarra J. Crop genomics: Advances and applications [J]. Nature Reviews Genetics, 2012,13(2):85-96.
[10] Desta ZA, Ortiz R. Genomic selection: Genome-wide prediction in plant improvement [J]. Trends in plant science, 2014,19(9):592-601.
[11] Heffner EL, Sorrells ME, Jannink JL. Genomic selection for crop improvement [J]. Crop Science, 2009,49(1):1-12.
[12] WHITTAKER JC, THOMPSON R, DENHAM MC. Marker-assisted selection using ridge regression [J]. Genetical research, 2000,75(02):249-252.
[13] Ornella L, Sukhwinder S, Perez P, et al. Genomic prediction of genetic values for resistance to wheat rusts [J]. Plant Genome, 2012,5(3):136-148.
[14] Riedelsheimer C, Endelman JB, Stange M, et al. Genomic predictability of interconnected biparental maize populations [J]. Genetics, 2013,194(2):493-503.
[15] Jacobson A, Lian L, Zhong S, et al. General combining ability model for genomewide selection in a biparental cross [J]. Crop Science, 2014,54(3):895-905.
[16] Heslot N, Yang H-P, Sorrells ME, et al. Genomic selection in plant breeding: A comparison of models [J]. Crop Science, 2012,52(1):146-160.
[17] Heffner EL, Jannink J-L, Iwata H, et al. Genomic selection accuracy for grain quality traits in biparental wheat populations [J]. Crop Science, 2011,51(6):2597-2606.
[18] Zhao Y, Gowda M, Liu W, et al. Accuracy of genomic selection in european maize elite breeding populations [J]. Theoretical and Applied Genetics, 2012,124(4):769-776.
[19] Meuwissen T, Goddard M. Accurate prediction of genetic values for complex traits by whole-genome resequencing [J]. Genetics, 2010,185(2):623-631.
[20] Zhao YS, Zeng J, Fernando R, et al. Genomic prediction of hybrid wheat performance [J]. Crop Science, 2013,53(3):802-810.
[21] Heslot N, Akdemir D, Sorrells ME, et al. Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions [J]. Theoretical and Applied Genetics, 2014,127(2):463-480.
[22] Resende MD, Resende MF, Sansaloni CP, et al. Genomic selection for growth and wood quality in eucalyptus: Capturing the missing heritability and accelerating breeding for complex traits in forest trees [J]. New Phytologist, 2012,194(1):116-128.
[23] Resende RMS, Casler MD, de Resende MDV. Genomic selection in forage breeding: Accuracy and methods [J]. Crop Science, 2014,54(1):143-156.
[24] Resende MFR, Munoz P, Acosta JJ, et al. Accelerating the domestication of trees using genomic selection: Accuracy of prediction models across ages and environments [J]. New Phytologist, 2012,193(3):617-624.
[25] Muir W. Comparison of genomic and traditional blup‐estimated breeding value accuracy and selection response under alternative trait and genomic parameters [J]. Journal of Animal Breeding and Genetics, 2007,124(6):342-355.
[26] Jannink J-L. Dynamics of long-term genomic selection [J]. Genetics Selection Evolution (Les Ulis), 2010,42(35-Article No.: 35.
[27] Goddard ME, Hayes BJ. Mapping genes for complex traits in domestic animals and their use in breeding programmes [J]. Nature Reviews Genetics, 2009,10(6):381-391.
[28] de Roos APW, Hayes BJ, Goddard ME. Reliability of genomic predictions across multiple populations [J]. Genetics, 2009,183(4):1545-1553.
[29] Cheverud JM, Routman EJ. Epistasis and its contribution to genetic variance components [J]. Genetics, 1995,139(3):1455-1461.
[30] Hu Z, Li Y, Song X, et al. Genomic value prediction for quantitative traits under the epistatic model [J]. BMC genetics, 2011,12(1):15.
[31] Gianola D, Fernando RL, Stella A. Genomic-assisted prediction of genetic value with semiparametric procedures [J]. Genetics, 2006,173(3):1761-1776.
[32] Hayes BJ, Bowman PJ, Chamberlain AJ, et al. Invited review: Genomic selection in dairy cattle: Progress and challenges [J]. Journal of Dairy Science, 2009,92(2):433-443.
[33] Ornella L, Perez P, Tapia E, et al. Genomic-enabled prediction with classification algorithms [J]. Heredity, 2014,112(6):616-626.
[34] Hickey JM, Dreisigacker S, Crossa J, et al. Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation [J]. Crop Science, 2014,54(4):1476-1488.
[35] Daetwyler HD, Bansal UK, Bariana HS, et al. Genomic prediction for rust resistance in diverse wheat landraces [J]. Theoretical and Applied Genetics, 2014,127(8):1795-1803.
[36] Xu SH, Zhu D, Zhang QF. Predicting hybrid performance in rice using genomic best linear unbiased prediction [J]. Proceedings of the National Academy of Sciences of the United States of America, 2014,111(34):12456-12461.
[37] Albrecht T, Auinger HJ, Wimmer V, et al. Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years [J]. Theoretical and Applied Genetics, 2014,127(6):1375-1386.
[38] Zhao YS, Gowda M, Liu WX, et al. Choice of shrinkage parameter and prediction of genomic breeding values in elite maize breeding populations [J]. Plant Breeding, 2013,132(1):99-106.
[39] Massman JM, Gordillo A, Lorenzana RE, et al. Genomewide predictions from maize single-cross data [J]. Theoretical and Applied Genetics, 2013,126(1):13-22.
[40] Zhao YS, Gowda M, Liu WX, et al. Accuracy of genomic selection in european maize elite breeding populations [J]. Theoretical and Applied Genetics, 2012,124(4):769-776.
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