[1] |
徐东旭, 邹 俊, 内蒙古自治区绒山羊品种的资源分布1.[J].中国纤检, 2017(7):126-128.XU D X, ZOU J.The resource distribution of cashmere goats in Inner Mongolia autonomous region[J].China Fiber Inspection, 2017(7):126-128.(in Chinese)
|
[2] |
LEGARRA A, AGUILAR I, MISZTAL I. A relationship matrix including full pedigree and genomic information[J].J Dairy Sci, 2009, 92(9):4656-4663.
|
[3] |
彭 潇, 尹立林, 梅全顺, 等.猪主要经济性状的基因组选择研究[J].畜牧兽医学报, 2019, 50(2):439-445.PENG X, YIN L L, MEI Q S, et al.A study of genome selection based on the porcine major economic traits[J].Acta Veterinaria et Zootechnica Sinica, 2019, 50(2):439-445.(in Chinese)
|
[4] |
周 隽, 林 清, 邵宝全, 等.猪群体一步法基因组选择应用效果评估[J].中国农业科学, 2022, 55(15):3042-3049.ZHOU J, LIN Q, SHAO B Q, et al.Evaluating the application effect of single-step genomic selection in pig populations[J].Scientia Agricultura Sinica, 2022, 55(15):3042-3049.(in Chinese)
|
[5] |
陈 鑫, 孙晓梅, 鲁慧文, 等.基于SNP芯片的猪基因组选择效果分析[J].畜牧与兽医, 2023, 55(2):5-10.CHEN X, SUN X M, LU H W, et al.Evaluation of genomic selection in pig based on SNP microarray[J].Animal Husbandry Veterinary Medicine, 2023, 55(2):5-10.(in Chinese)
|
[6] |
朱 墨, 郑麦青, 崔焕先, 等.基于GBLUP和BayesB方法对肉鸡屠宰性状基因组预测准确性的比较[J].中国农业科学, 2021, 54(23):5125-5131.ZHU M, ZHENG M Q, CUI H X, et al.Comparison of genomic prediction accuracy for meat type chicken carcass traits based on GBLUP and BayesB method[J].Scientia Agricultura Sinica, 2021, 54(23):5125-5131.(in Chinese)
|
[7] |
李 森, 杜永旺, 文 杰, 等.快速型黄羽肉鸡饲料利用效率性状的基因组选择研究[J].畜牧兽医学报, 2021, 52(8):2151-2161.LI S, DU Y W, WEN J, et al.A study of genomic selection for feed efficiency traits in fast-growing yellow-feathered broilers[J].Acta Veterinaria et Zootechnica Sinica, 2021, 52(8):2151-2161.(in Chinese)
|
[8] |
OSTERSEN T, CHRISTENSEN O F, HENRYON M, et al.Deregressed EBV as the response variable yield more reliable genomic predictions than traditional EBV in pure-bred pigs[J].Genet Sel Evol, 2011, 43(1):38.
|
[9] |
WIGGANS G R, COLE J B, HUBBARD S M, et al.Genomic selection in dairy cattle:the USDA experience[J].Annu Rev Anim Biosci, 2017, 5:309-327.
|
[10] |
朱 波.一步法和多性状基因组选择在西门塔尔牛群体中的应用研究[D].北京:中国农业科学院, 2017.ZHU B.The application of single-step and multiple-trait genomic selection in Chinese Simmental cattle[D].Beijing:Chinese Academy of Agricultural Sciences, 2017.(in Chinese)
|
[11] |
师 睿, 苏国生, 陈紫薇, 等.中国荷斯坦牛繁殖性状的基因组预测效果比较[J].畜牧兽医学报, 2022, 53(9):2944-2954.SHI R, SU G S, CHEN Z W, et al.Comparisons of genomic predictions for fertility traits in Chinese Holstein cattle[J].Acta Veterinaria et Zootechnica Sinica, 2022, 53(9):2944-2954.(in Chinese)
|
[12] |
ZHAO Y X, GAO N, CHENG J, et al.Genetic parameter estimation and genomic prediction of Duroc boars' sperm morphology abnormalities[J].Animals (Basel), 2019, 9(10):710.
|
[13] |
LOURENCO D A L, TSURUTA S, FRAGOMENI B O, et al.Genetic evaluation using single-step genomic best linear unbiased predictor in American angus[J].J Anim Sci, 2015, 93(6):2653-2662.
|
[14] |
GAO N, TENG J Y, PAN R Y, et al.Accuracy of whole genome prediction with single-step GBLUP in a Chinese yellow-feathered chicken population[J].Livest Sci, 2019, 230:103817.
|
[15] |
王凤红.山羊SNP芯片设计与内蒙古绒山羊重要经济性状全基因组关联分析及基因组选择研究[D].呼和浩特:内蒙古农业大学, 2021.WANG F H.Design of goat SNP chip with applications in genome-wide association study and genomic selection of important economic traits in Inner Mongolia cashmere goat[D].Hohhot:Inner Mongolia Agricultural University, 2021.(in Chinese)
|
[16] |
MARTINI J W R, SCHRAUF M F, GARCIA-BACCINO C A, et al.The effect of the H-1 scaling factors τ and Ω on the structure of H in the single-step procedure[J].Genet Sel Evol, 2018, 50(1):16.
|
[17] |
AGUILAR I, MISZTAL I, JOHNSON D L, et al.Hot topic:a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score[J].J Dairy Sci, 2010, 93(2):743-752.
|
[18] |
AGUILAR I, MISZTAL I, TSURUTA S, et al.Multiple trait genomic evaluation of conception rate in Holsteins[J].J Dairy Sci, 2011, 94(5):2621-2624.
|
[19] |
FORNI S, AGUILAR I, MISZTAL I.Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information[J].Genet Sel Evol, 2011, 43(1):1.
|
[20] |
CHRISTENSEN O F.Compatibility of pedigree-based and marker-based relationship matrices for single-step genetic evaluation[J]. Genet Sel Evol, 2012, 44(1):37.
|
[21] |
WESTBROOK J W, ZHANG Q, MANDAL M K, et al.Optimizing genomic selection for blight resistance in American chestnut backcross populations:a trade-off with American chestnut ancestry implies resistance is polygenic[J].Evol Appl, 2020, 13(1):31-47.
|
[22] |
KOIVULA M, STRANDÉN I, PÖSÖ J, et al.Single-step genomic evaluation using multitrait random regression model and test-day data[J].J Dairy Sci, 2015, 98(4):2775-2784.
|
[23] |
MATILAINEN K, KOIVULA M, STRANDÉN I, et al.Managing genetic groups in single-step genomic evaluations applied on female fertility traits in Nordic red dairy cattle[C]//Proceedings of the 2016 Interbull Meeting.Puerto Varas:Interbull, 2016.
|
[24] |
GARCIA-BACCINO C A, LEGARRA A, CHRISTENSEN O F, et al.Metafounders are related to Fst fixation indices and reduce bias in single-step genomic evaluations[J].Genet Sel Evol, 2017, 49(1):34.
|
[25] |
GAO H, KOIVULA M, JENSEN J, et al.Short communication:genomic prediction using different single-step methods in the Finnish red dairy cattle population[J].J Dairy Sci, 2018, 101(11):10082-10088.
|
[26] |
GUILLAUME F, BOICHARD D, DUCROCQ V, et al.Utilisation de la sélection génomique chez les bovins laitiers[J].Prod Anim, 2011, 24(4):363-367.(in French).
|
[27] |
MEHRBAN H, LEE D H, NASERKHEIL M, et al.Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models[J].PLoS One, 2019, 14(10):e0223352.
|
[28] |
NASERKHEIL M, LEE D H, MEHRBAN H.Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle[J].BMC Genet, 2020, 21(1):144.
|
[29] |
BONIFAZI R, CALUS M P L, TEN NAPEL J, et al.International single-step SNPBLUP beef cattle evaluations for Limousin weaning weight[J].Genet Sel Evol, 2022, 54(1):57.
|
[30] |
KOO Y, ALKHODER H, CHOI T J, et al.Genomic evaluation of carcass traits of Korean beef cattle Hanwoo using a single-step marker effect model[J].J Anim Sci, 2023, 101:skad104.
|
[31] |
TEISSIER M, LARROQUE H, ROBERT-GRANIE C.Accuracy of genomic evaluation with weighted single-step genomic best linear unbiased prediction for milk production traits, udder type traits, and somatic cell scores in French dairy goats[J].J Dairy Sci, 2019, 102(4):3142-3154.
|
[32] |
MASSENDER E, BRITO L F, MAIGNEL L, et al.Single-step genomic evaluation of milk production traits in Canadian Alpine and Saanen dairy goats[J].J Dairy Sci, 2022, 105(3):2393-2407.
|
[33] |
OGET C, TEISSIER M, ASTRUC J M, et al.Alternative methods improve the accuracy of genomic prediction using information from a causal point mutation in a dairy sheep model[J].BMC Genomics, 2019, 20(1):719.
|
[34] |
SONG H L, ZHANG J X, ZHANG Q, et al.Using different single-step strategies to improve the efficiency of genomic prediction on body measurement traits in pig[J].Front Genet, 2019, 9:730.
|
[35] |
ESFANDYARI H, THEKKOOT D, KEMP R, et al.Genetic parameters and purebred-crossbred genetic correlations for growth, meat quality, and carcass traits in pigs[J].J Anim Sci, 2020, 98(12):skaa379.
|
[36] |
CARILLIER C LARROQUE H, ROBERT-GRANIÉ C.Comparison of joint versus purebred genomic evaluation in the French multi-breed dairy goat population[J].Genet Sel Evol, 2014, 46(1):67.
|
[37] |
HARRIS B L, JOHNSON D L, SPELMAN R J.Choice of parameters for removal of inflation in genomic breeding values for dairy cattle[C]//Association for the Advancement of Animal Breeding and Genetics.Melbourne:AAABG, 2011:359-362.
|
[38] |
王志英.内蒙古绒山羊绒毛品质性状早期选择原理与方法的研究[D].呼和浩特:内蒙古农业大学, 2016.WANG Z Y.Study on principle and method of early selection of fleece traits in Inner Mongolla cashmere goats[D].Hohhot:Inner Mongolia Agricultural University, 2016.(in Chinese)
|