Scientia Agricultura Sinica ›› 2019, Vol. 52 ›› Issue (5): 921-929.doi: 10.3864/j.issn.0578-1752.2019.05.013

• ANIMAL SCIENCE·VETERINARY SCIENCE·RESOURCE INSECT • Previous Articles     Next Articles

Selection of Nucleus Herd for Simmental Cattle in Xinjiang Area

WEI Chen1,ZHAO Junjin2,HUANG XiXia1(),YANG HongJie2,ZHANG MengHua1,GE JianJun3,MA GuangHui3(),ZHANG XiaoXue1,WANG Dan1,YOU ZhenChen1,XU Lei1,JIANG Hui1,ZHAO FanFan1,JU Xing1,LI YunXia1   

  1. 1 College of Animal Science, Xinjiang Agricultural University, Urumqi 830052
    2 National Animal Husbandry Station, Beijing 100125
    3 Xinjiang Hutubi Cattle Farm, Changji 831203, Xinjiang
  • Received:2018-05-28 Accepted:2019-01-18 Online:2019-03-01 Published:2019-03-12
  • Contact: XiXia HUANG,GuangHui MA E-mail:au-huangxixia@163.com;Pdh-xj@163.com

Abstract:

【Objective】In recent years, the genetic improvement of Simmental cattle in Xinjiang has achieved certain effects, however, the genetic evaluation work has been carried out less. In order to accelerate the genetic progress of Simmental cattle, this study aims to constitute and optimize the suitable breeding program of Simmental cattle in Xinjiang by using genetic evaluation, combined with genetic trend analysis to select nucleus herd and compare the results of TPI selection and single-trait selection.【Method】The research date including the production performance records, DHI testing, mature cow weight and type classification records of 2 495 Simmental cattles, were collected from Xinjiang Hutubi Herd farm during 1974 to 2014. The DMU software was applied together with AI-REML of EM algorithm and multiple-trait animal models to estimate the variance components and breeding values of 305 MY, MFP, MPP, MLP, TS, SCS, MCW and TC. The genetic trend analysis was perfromed in 305MY, MFP, MPP, SCS and MCW. Finally, bulls and nucleus herd cows were selected by TPI.【Result】The results showed that Simmental cattle heritabilities of 305 MY, MFP, MPP, MLP, TS, SCS, MCW and TC were 0.39, 0.15, 0.12, 0.12, 0.32, 0.09, 0.60, 0.19, respectively. 305 MY, TS and MCW were high heritability (h 2>0.3) ; MFP, MPP, MLP and TC were medium heritability (0.12<0.3 ), and SCS was low heritability (h 2<0.1). Genetic trend of 305MY did not change significantly from 1974 to 2007, and appeared obviously increasing trend from 2008 to 2012. Between 1974 and 2006, genetic trends of MFP and MPP showed a slightly downward trend, and appeared obviously increasing trend from 2007 to 2013. Genetic trend of SCS appeared obviously increasing trend from 1974 to 2000, and an upward trend from 2001 to 2012 is shown. Genetic trend of MCW had a big fluctuation from 1974 to 2007, and appeared obviously increasing trend from 2008 to 2011. Breeding values for bulls and herd cows were ranked according to total performance index.The TPI value of the first bull was 552.45, and average of top 10 bulls was 383.41. Average TPI value of 100 nucleus herd cows was 214.91. Average value of 305MY, MFP, MCW and TC phenotype values of 100 Average TPI value of 100 nucleus herd cows were 7 095.10 kg, 4.13%, 696.53 kg and 76.73, respectively, which was higher than average of phenotype value in herd cows. The breeding values appeared to be different among single-trait selection and TPI . It is concluded that TPI selection was better than single-trait selection.【Conclusion】Recently, gentic trends of 305MY, MPF, MPP and MCW of Simmental cattle were appeared obviously increasing trend, and SCS was a downward trend, which further proved that breeding and genetic improvement of Simmental cattle had achieved certain results. By comparing the differences between TPI selection and single-trait selection, it is proved that selection index was more practical in production, and farm will use more bulls with high TPI values. And the population of cattle group will be expanded on the basis of 100 nucleus herd cows. By selecting excellent bulls for breeding and expanding group, the purpose was improved production of the whole group in Simmental cattle.

Key words: Simmental cattle, milk production traits, mature cow weight, type classification, nucleus herd

Table 1

Statistics description of main economic traits in Simmental cattle"

性状
Trait
数据量
Records
均值
Average
标准差
SD
变异系数
CV(%)
最小值
Minimum
最大值
Maximum
305MY (kg) 6413 5496.91 1547.01 28.14 2001.00 11740.00
MFP (%) 3991 4.14 0.82 19.84 1.31 14.04
MPP (%) 3220 3.32 0.43 13.04 1.54 7.89
MLP (%) 1744 4.75 0.36 7.57 1.96 5.44
TS (%) 1743 12.41 1.22 9.81 4.49 17.45
SCS 2145 4.27 2.03 47.17 -1.32 12.08
MCW (kg) 2363 645.72 81.50 12.62 254.70 940.63
TC (100) 2042 76.61 3.00 3.91 75.00 86.00

Table 2

Variance components and heritabilities of the main economic traits in Simmental"

性状Trait $\sigma^{2}_{a}$. $\sigma^{2}_{e}$ $\sigma^{2}_{p}$ $h^{2}_{a}$±SE
305MY 808838.49 1225067.02 2033905.52 0.39±0.02
MFP 0.10 0.56 0.66 0.15±0.02
MPP 0.02 0.15 0.17 0.12±0.03
MLP 0.01 0.11 0.12 0.12±0.02
TS 0.42 0.86 1.28 0.32±0.03
SCS 0.34 3.41 3.75 0.09±0.02
MCW 4107.57 2638.08 6745.65 0.60±0.02
TC 1.51 6.37 7.89 0.19±0.03

Fig. 1

Trends of EBVs of each trait for Simmental cattle with birth year"

Table 3

TPI values, breeding values and phenotype value of different groups of traits in Simmental cattle"

分组Groups 305MY MFP MCW TC TPI
第一名公牛(育种值)
Breeding value of first bull
2377.76 0.21 152.16 0.10 552.45
前十名公牛(平均育种值)
Average breeding value of top 10 bulls
1581.39 0.25 86.56 0.32 383.41
前十名母牛(平均育种值)
Average breeding value of top 10 cows
1969.41 -0.16 61.85 1.27 401.15
100头核心母牛群(平均育种值)
Average breeding value of top 100 nucleus herd cows
1011.89 0.18 28.62 -0.12 214.91
在群母牛群(平均育种值)
Average breeding value of herd cows
330.17 0.11 7.74 -0.19 70.24
100头核心群母牛(平均表型值)
Average phenotype value of top 100 nucleus herd cows
7095.10kg 4.13% 696.53kg 76.73 -
在群母牛群(平均表现值)
Average phenotype value of herd cows
5989.12kg 4.08% 694.95kg 76.61 -

Fig. 2

Breeding values and phenotypic values of different traits under different selections of Simmental cattle 1 is breeding value of first bull;2 is average breeding value of top 10 bulls;3 is average breeding value of top 10 cows;4 is average breeding value of top 100 nucleus herd cows"

[1] HAZEL L N . The genetic basis for constructing selection indexes. Genetics, 1943,4(28):476-490.
doi: 10.1007/BF02982970 pmid: 17247099
[2] 陈幼春 .西门塔尔牛的中国化. 北京: 中国农业科学技术出版社, 2007.
CHEN Y C. Sinicization of Simmental Cattle. Beijing: China Agricultural Science and Technology Press, 2007. ( in Chinese)
[3] 许尚忠, 陈幼春, 张忠盛 .应用总性能指数(TPI)评定西门塔尔种公牛. 畜牧与兽医,1986(4):149-150.
XU S Z, CHEN Y C, ZHANG Z S .Evaluation of Simmental bulls with the Total Performance Index(TPI).Animal Husbandry & Veterinary Medicine, 1986(4):149-150. (in Chinese)
[4] 任红艳 . 中国西门塔尔牛开放核心群育种效果分析[D]. 北京: 中国农业科学院, 2001.
REN H Y . Analysis of breeding effect of Chinese Simmental using open nucleus breeding system[D]. Beijing: Chinese Academy of Agricultural Sciences, 2001. ( in Chinese)
[5] 赵静, 吕文发, 陈德全, 许尚忠, 李俊雅 . 中国西门塔尔母牛主要繁殖性状遗传统计分析. 吉林农业大学学报, 2002,24(4):99-102.
doi: 10.3969/j.issn.1000-5684.2002.04.025
ZHAO J, LÜ W F, CHEN D Q, XU S Z, LI J Y . Genetic and statistical analysis is on main reproduction traits of Chinese Simmental. Journal of Jilin Agricultural University, 2002,24(4):99-102. (in Chinese)
doi: 10.3969/j.issn.1000-5684.2002.04.025
[6] 范大有, 许尚忠, 李俊雅, 任红艳, 杨雪丽 . 中国西门塔尔牛次级性状与生产性状的遗传统计分析. 畜牧兽医学报, 2008,39(8):1025-1032.
doi: 10.3321/j.issn:0366-6964.2008.08.004
FAN D Y, XU S Z, LI J Y, REN H Y, YANG X L . Genetic and statistical analysis between production traits and secondary traits in Chinese Simmental. Chinese Journal of Animal and Veterinary Sciences, 2008,39(8):1025-1032. (in Chinese)
doi: 10.3321/j.issn:0366-6964.2008.08.004
[7] 汪春乾, 许尚忠, 陈宏权, 李俊雅 .中国西门塔尔牛生长性状遗传参数估计. 安徽农业大学学报,2004(04):417-420.
doi: 10.3969/j.issn.1672-352X.2004.04.008
WANG C Q, XU S Z, CHEN H Q, LI J Y .Estimating parameters growth traits of Chinese Simmental.Journal of Anhui Agricultural University, 2004(04):417-420. (in Chinese)
doi: 10.3969/j.issn.1672-352X.2004.04.008
[8] 牛红, 宝金山, 吴洋, 朱波, 张文刚, 夏江威, 宋禹昕, 郭鹏, 徐凌洋, 陈燕, 高雪, 张路培, 高会江, 李俊雅 . 中国西门塔尔牛肉用群体重要经济性状遗传参数估计. 畜牧兽医学报, 2016,47(09):1817-1823.
doi: 10.11843/j.issn.0366-6964.2016.09.009
NIU H, BAO J S, WU Y, ZHU B, ZHANG W G, XIA J W, SONG Y X, GUO P, XU L Y, CHEN Y, GAO X, ZHANG L P, GAO H J, LI J Y . Estimation of genetic parameters for economic important traits in Chinese Simmental beef cattle. Chinese Journal of Animal and Veterinary Sciences, 2016,47(09):1817-1823. (in Chinese)
doi: 10.11843/j.issn.0366-6964.2016.09.009
[9] 周桂珍, 魏趁, 张晓雪, 管潇萌, 赵雄, 彭箫, 黄锡霞, 马光辉 . 用DMU软件估计西门塔尔母牛主要经济性状的遗传参数. 中国畜牧杂志, 2018,54(06):43-46.
doi: 10.19556/j.0258-7033.2018-06-043
ZHOU G Z, WEI C, ZHANG X X, GUAN X M, ZHAO X, PENG X, HUANG X X, MA G H . Estimation of genetic parameters of main economic characters of Simmental cattle by DMU software. Chinese Journal of Animal Science, 2018,54(06):43-46. (in Chinese)
doi: 10.19556/j.0258-7033.2018-06-043
[10] GOTZ K U, LUNTZ B, ROBEIS J, EDEL C, EMMERLING R, BUITKAMP J, ANZENBERGER H, DUDA J. Polled Fleckvieh ( Simmental) cattle-Current state of the breeding program. Livestock Science, 2015,179:80-85.
doi: 10.1016/j.livsci.2015.05.019
[11] GORGULU O . Path analysis on effective factors affecting 305-D milk yield in Simmental cattle. International Journal of a Griculture &Biology, 2011 ( 13):381-385.
doi: 10.1111/j.1744-7348.2010.00451.x
[12] JAMROZIK J, MCGRATH S, KEMP R A, MILLER S P . Estimates of genetic parameters for stayability to consecutive calvings of Canadian Simmentals by random regression models. Journal of Animal Science, 2013, 91(8):3634-3643.
doi: 10.2527/jas.2012-6126 pmid: 23881688
[13] MILUN P D, VLADAN B, MILAN P M, SNEZANA B, RADOJICA D, RADICA D, SIMEON R . Effect of non-genetic factors on standard lactation milk performance traits in Simmental cows. Journals of Animal Science, 2015,15(1):211-220.
doi: 10.2478/aoas-2014-0073
[14] RODICA S P, GROSU H, CRISTINA L, ROTAR C M, ANDREEA V, GRAS M A UȚA R A,ELENA G,. Estimation of the genetic parameters for test-day milk yield in Montbeliarde cattle. Archiva Zootechnica, 2015,18(1):41-51.
[15] SU H, GOLDEN B, HYDE L, SANDERS S, GARRICK D . Genetic parameters for carcass and ultrasound traits in Hereford and admixed Simmental beef cattle: Accuracy of evaluating carcass traits. Journal of Animal Science, 2017, 95:4718-4727.
doi: 10.2527/jas2017.1865 pmid: 29293732
[16] 王根林 .养牛学. 北京: 中国农业出版社, 2006.
WANG G L .Cattle Science. Beijing: China Agricultural Press, 2006. ( in Chinese)
[17] 张文龙 . 新疆三个品种牛泌乳曲线的分析及产奶量校正系数的制定[D]. 乌鲁木齐市: 新疆农业大学, 2013.
ZHANG W L . The analysis of lactation curve and milk yield correction coefficient formulation on three varieties of cattle in Xinjiang[D]. Urumqi: Xinjiang Agricultural University, 2013. ( in Chinese)
[18] 张文龙, 余雄, 黄锡霞, 帕尔哈提, 热西提, 孙红晨, 马光辉, 葛建军 .新疆西门塔尔牛泌乳曲线的分析及305d产奶量校正系数的制定. 新疆农业大学学报,2013(3):177-182.
doi: 10.3969/j.issn.1007-8614.2013.03.002
ZHANG W L, YU X, HUANU X X PA E H T, RE X T, SUN H C, MA G H, GE J J . Analysis on lactation curve of Simmental cows and formulation of correction coefficient for 305 days milk yield in Xinjiang.Journal of Xinjiang Agricultural University, 2013(3):177-182. (in Chinese)
doi: 10.3969/j.issn.1007-8614.2013.03.002
[19] Shook G E . Genetic improvement of mastitis through selection on somatic cell count. Veterinary Clinics of Nortn America Food Animal Practice, 1993,9(3):563-581.
doi: 10.1016/S0749-0720(15)30622-8 pmid: 8242460
[20] 叶东东 . 新疆呼图壁种牛场荷斯坦牛遗传参数估计和动物模型BLUP遗传评定研究[D]. 乌鲁木齐: 新疆农业大学, 2011.
YE D D . Studies of genetic parameter estimation and genetic evaluation using animal model BULP in Holstein cattle in Xinjiang Hutubi herd farm[D]. Urumqi: Xinjiang Agricultural University, 2011. ( in Chinese)
[21] 李金霞, 叶东东, 付雪峰, 刘丽元, 葛建军, 黄锡霞, 马光辉 . 新疆地区中国荷斯坦牛育种值的估计及总性能指数的制定. 家畜生态学报, 2016,37(7):20-24.
LI J X, YE D D, FU X F, LIU L Y, GE J J, HUANG X X, MA G H . Estimation of breeding values for Chinese Holstein cattle and making of the Total Performance Index. Journal of Domestic Animal Ecology, 2016,37(7):20-24. (in Chinese)
[22] MIROSLAV K, MARIJA S . Estimation of genetic parameters and breeding values of milk traits for Simmental Cattle in croatia using a lactation animal model. Agriculturae Conspectus Scientificus, 2004,69(4):91-94.
[23] GORGULU O . Path analysis on effective factors affecting 305-D milk yield in Simmental cattle.International Journal of a Griculture &Biology, 2011(13):381-385.
doi: 10.1111/j.1744-7348.2010.00451.x
[24] LUDOVIC T C, DANIELA E I, RADU I N, FLORIN C N, SILVIU I S, DINU G . Comparative study on production, reproduction and functional traits between Fleckvieh and Braunvieh cattle. Asian Australasian Journal of Animal Sciences, 2017,30(5):666-670.
doi: 10.5713/ajas.16.0588 pmid: 5411826
[25] ATAKAN K . A study of the reproductive performance, milk yield, milk constituents, and somatic cell count of Holstein-Friesian and Montbeliarde cows. Turkish Journal of Veterinary & Animal Sciences, 2011,35(5):295-302.
[26] ZDENKO I, MARIJA P, VESNA B, PERO M, ANTE I, DRAGO S . Estimation of genetic parameters and environmental effects on somatic cell count in Simmental and Holstein breeds. Mljekarstvo, 2012,62(2):143-150.
doi: 10.1186/1297-9686-44-10
[27] RODICA S P, GROSU H, CRISTINA L, GRAS M A UȚA R A,GHITA E,. Estimation of the genetic parameters for test-day milk yield in Montbeliarde cattle. Archiva Zootechnica, 2015,18(1):41-51.
[28] ERIKA F, ANTONIA B S, DANIELE V, ALESSANDRO B, OTTAVIA P . Heritabilities and genetic correlations of body condition score and muscularity with productive traits and their trend functions in Italian Simmental cattle. Agriculturae Conspectus Scientificus, 2013,40(12):240-246.
[29] PANTELIC V, PLAVSIC M, TRIVUNOVIC S, ALEKSIC S, SRETENOVIC L, OSTOJIC-ANDRIC D, NIKSIC D . The evaluation of breeding value of Simmental bulls for milk performance in Serbia. Biotechnology in Animal Husbandry, 2011,27(2):127-135.
doi: 10.2298/BAH1102127P
[30] DAMITIE K, KOMLOS I . Evaluation of genetic parameters and growth traits of Hungarian Simmental cattle breed. Livestock Research for Rural Development, 2015,27(9):123-127.
[31] 李俊雅 . 中国西门塔尔牛开放核心群优化育种规划的研究[D]. 北京: 中国农业大学, 2003.
LI J Y . Study on optimization of open nucleus breeding scheme for Chinese Simmental[D]. Beijing: Agricultural University of China, 2003. ( in Chinese)
[32] 薛景龙 . 中国肉用西门塔尔牛育种目标的选择及优化育种规划的研究[D]. 长春: 吉林农业大学, 2016.
XUE J L . Research on selection of breeding goal and optimization of breeding scheme for Chinese Beef Simmental cattle[D]. Changchun: Jilin Agricultural University, 2016. ( in Chinese)
[33] 任红艳, 许尚忠 .弗莱维赫牛( 德系西门塔尔) 遗传评定方法. 中国奶业,2007(7):48-50.
doi: 10.3969/j.issn.1004-4264.2007.08.021
REN H Y, XU S Z .Genetic evaluation method for Fleckvieh Cattle.China Dairy Cattle, 2007(7):48-50. (in Chinese)
doi: 10.3969/j.issn.1004-4264.2007.08.021
[34] BIRGIT F W, CHRISTIAN F, WALTER O, CHRISTA E D . Sustainable breeding objectives and possible selection response: Finding the balance between economics and breeders’ preferences. Journal of Dairy Science, 2016,99:1-14.
doi: 10.3168/jds.2015-9445 pmid: 26387020
[35] 赵晓铎, 许诗凡, 刘光磊 . 北美奶牛育种指数变化及进展情况分析. 中国奶牛, 2016 ( 7):26-29.
doi: 10.19305/j.cnki.11-3009/s.2016.07.007
ZHAO X D, XU S F, LIU G L . The change and progress analysis of dairy cattle breeding Index in North American. China Dairy Cattle, 2016 ( 7):26-29. (in Chinese)
doi: 10.19305/j.cnki.11-3009/s.2016.07.007
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