China Swine Industry ›› 2024, Vol. 19 ›› Issue (3): 59-67.doi: 10.16174/j.issn.1673-4645.2024.03.006
• Genetic Breeding • Previous Articles
CLC Number:
- S828
| [1] 张海峰, 陈锐, 陈南, 等. 2022 年中国生猪产业发展情况及 2023年趋势[J]. 中国猪业, 2023, 18(2):13-18. ZHANG HF, CHEN R, CHEN N, et al. Development of China pig industry in 2022 and its trend in 2023 [J]. China Swine Industry, 2023, 18(2):13-18. [2] 李明全. 完善生猪产业链 打牢猪业发展基础[J]. 中国猪业,2021, 16(1):43-45. LI MQ. Perfecting the pig industry chain and laying a solid foundation for the development of pig industry [J]. China Swine Industry, 2021, 16(1):43-45. [3] 段海霞. 我国生猪产业研究综述与展望[J]. 中国猪业, 2020, 15(1):25-30. DUAN HX. Review and prospect of pig industry research in China[J]. China Swine Industry, 2020, 15(1):25-30. [4] 中国农村网.全国生猪遗传改良计划(2021—2035 年)[EB/OL].https://www.gov.cn/zhengce/content/2020-09/27/content_5547612.html. China Rural Network. National pig genetic improvement plan(2021-2035)[EB/OL]. https://www.gov.cn/zhengce/content/2020-09/27/content_5547612.html. [5] 肖卫华, 郭田华. 国内外生猪遗传育种研究状况比较[J]. 中国农业信息, 2014(19):21. XIAO WH, GUO TH. Comparison of pig genetics and breed?ing research at home and abroad [J]. China SgriculturalInformation, 2014(19):21. [6] 薛星星, 许发芳, 王磊, 等. 动物遗传育种技术发展历程[J]. 青海畜牧兽医杂志, 2021, 51(6):55-61. XUE XX, XU FF, WANG L, et al. Development history of ani?mal genetic breeding technology[J]. Chinese Qinghai Journal of Animal and Veterinary Sciences, 2021, 51(6):55-61. [7] 潘玉春. 走“中国特色”的养猪业发展道路[J]. 中国畜牧杂志,2017, 53(9):165-168. PAN YC. Take the development road of pig industry with"China characteristics" [J]. Chinese Journal of Animal Sci?ence, 2017, 53(9):165-168. [8] 傅衍. 猪的育种技术及其应用[J]. 猪业科学, 2021, 38 (12):39-41. FU Y. Breeding techniques and applications of pigs [J].Swine Industry Science, 2021, 38(12):39-41. [9] 张佳丽, 聂光伟, 刘军, 等. 猪 MAP2K6 基因多态性及其与经济性状的关联分析[J]. 中国畜牧杂志, 2021, 57(3):64-68. ZHANG JL, NIE GW, LIU J, et al. Association analysis poly?morphism of MAP2K6 gene with economic traits in Francelarge white pig[J]. Chinese Journal of Animal Science, 2021,57(3):64-68. [10] 张恬. 猪肌内脂肪全基因组甲基化差异分析及候选基因研究[D]. 北京: 中国农业科学院, 2016. ZHANG T. Study on genome-wide methylation fifferential snalysis and candidate genes in pig IMF[D]. Beijin: Chinese Academy of Agricultural Sciences, 2016. [11] 刘敬顺, 吴珍芳, 蔡更元. 种猪 CT 活体测定技术简介及应用挑战[J]. 华南农业大学学报, 2019, 40(S1):155-157. LIU JS, WU ZF, CAI GY. Introduction of computer tomogra?phy technique applied in breeding swine performance test and its application challenge [J]. Journal of South China Agricultural University, 2019, 40(S1):155-157. [12] 陈栋, 王书杰, 赵真坚, 等. 基于机器学习的猪生长性状基因组预测[J]. 遗传, 2023, 45(10):922-932. CHEN D, WANG SJ, ZHAO ZJ, et al. Genomic prediction of pig growth traits based on machine learning [J]. Hereditas(Beijing), 2023, 45(10):922-932. [13] 李娅兰, 刘珍云, 刘敬顺, 等. 世界种猪育种体系及对我国种猪育种借鉴[J]. 中国畜牧业, 2013(6):52-54. LI YL, LIU ZY, LIU JS, et al. World pig breeding system and its reference for pig breeding in China [J]. China Animal Industry, 2013(6):52-54. [14] WIENTJES YCJ, CALUS MPL. Board invited review: the purebred-crossbred correlation in pigs: a review of theory, estimates, and implications [J]. Journal of Animal Science,2017, 95(8):3467-3478. [15] ESFANDYARI H, BERG P, S覫RENSEN AC. Balanced selection on purebred and crossbred performance increases gain in crossbreds[J]. Genetics Selection Evolution, 2018, 50(1):8. [16] WEI M, VAN DER WERF JHJ. Maximizing genetic response in crossbreds using both purebred and crossbred information[J]. Animal Science, 1994, 59(3):401-413. [17] BAUMUNG R, SOLKNER J, ESSL A. Correlation between purebred and crossbred performance under a two-locus model with additive by additive interaction [J]. Journal of Animal Breeding and Genetics, 1997, 114(1/2/3/4/5/6):89-98. [18] MERKS WM. Genotype × environment interactions in pig breeding programmes. VI. genetic relations between performances in central test, on-farm test and commercial fattening[J]. Livestock Production Science, 1989, 22(3/4):325-339. [19] FALCONER DS, LATYSZEDWSKI M. The environment in relation to selection for size in mice[J]. Journal of Genetics,1952, 51(1):67-80. [20] ZUMBACH B, MISZTAL I, TSURUTA S, et al. Genetic correlations between two strains of Durocs and crossbreds fromdiffering production environments for slaughter traits [J]. Journal of Animal Science, 2007, 85(4):901-908. [21] MISZTAL I, STEYN Y, LOURENCO DAL. Genomic evaluationwith multibreed and crossbred data [J]. JDS Communications, 2022, 3(2):156-159. [22] VAN GREVENHOF IE, VAN DER WERF JH. Design of refer ence populations for genomic selection in crossbreedingprograms[J]. Genetics Selection Evolution, 2015, 47(1):14. [23] WIENTJES YCJ, BIJMA P, CALUS MPL. Optimizing genomic reference populations to improve crossbred performance[J].Genetics Selection Evolution, 2020, 52(1):65. [24] HOWARD JT, RATHJE TA, BRUNS CE, et al. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction [J].Journal of Animal Science, 2018, 96(11):4532-4542. [25] LIU SY, YAO TX, CHEN D, et al. Genomic prediction in pigs using data from a commercial crossbred population: insights from the Duroc ×(Landrace ×Yorkshire) three-way cross breeding system [J]. Genetics Selection Evolution, 2023, 55(1):21. [26] XIANG T, CHRISTENSEN OF, VITEZICA ZG, et al. Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs[J]. Genetics Selection Evolution, 2016,48(1):92. [27] DEKKERS JCM. Marker-assisted selection for commercial crossbred performance1 [J]. Journal of Animal Science,2007, 85(9):2104-2114. [28] GONZALEZ-DIEGUEZ D, TUSELL L, BOUQUET A, et al.Purebred and crossbred genomic evaluation and mate allo cation strategies to exploit dominance in pig crossbreeding schemes [J]. G3 Genes|Genomes|Genetics, 2020, 10 (8):2829-2841. [29] NEETESON-VAN NIEUWENHOVENAM, KNAP P, AVENDANOS. The role of sustainable commercial pig and poultry breedingfor food security[J]. Animal Frontiers, 2013, 3(1):52-57. [30] KOKETSU Y, IIDA R. Farm data analysis for lifetime perfor mance components of sows and their predictors in breedingherds[J]. Porcine Health Management, 2020, 6(1):24. [31] ESFANDYARI H, BIJMA P, HENRYON M, et al. Genomicprediction of crossbred performance based on purebredLandrace and Yorkshire data using a dominance model[J].Genetics Selection Evolution, 2016, 48(1):40. |
| [1] | . [J]. China Swine Industry, 2024, 19(3): 5-14. |
| [2] | . [J]. China Swine Industry, 2024, 19(2): 35-42. |
| [3] | . [J]. China Swine Industry, 2024, 19(2): 43-51. |
| [4] | . [J]. China Swine Industry, 2024, 19(2): 52-58. |
| [5] | . [J]. China Swine Industry, 2021, 16(6): 30-35. |
| [6] | SHEN Xuelin, YAO Man, LI Aiping, HU Yanyan, YU Qiong, FAN Guangjian, XIA Xianlin. Study on the Effect of Hybridization of Lean Pig Combination [J]. China Swine Industry, 2021, 16(6): 36-41. |
| [7] | . [J]. China Swine Industry, 2021, 16(6): 42-47. |
| [8] | . [J]. China Swine Industry, 2021, 16(6): 90-92. |
| [9] | . [J]. China Swine Industry, 2021, 16(5): 34-37. |
| [10] | ZHU Bangqiang, HE Jun, ZENG Qinghua, ZHANG Yuebo. Utilization of Animal Heterosis and Its Prediction Methods [J]. China Swine Industry, 2021, 16(4): 22-26. |
| [11] | . [J]. China Swine Industry, 2020, 15(5): 47-49. |
| [12] | . [J]. China Swine Industry, 2020, 15(5): 50-52,55. |
| [13] | . [J]. China Swine Industry, 2020, 15(5): 53-55. |
| [14] | . [J]. China Swine Industry, 2019, 14(8): 45-49. |
| [15] | . [J]. China Swine Industry, 2014, 9(5): 41-43. |
|
||