|本期目录/Table of Contents|

[1]郭军,曲亮,窦套存,等.基于荟萃分析的蛋质量遗传力研究[J].江苏农业科学,2020,48(13):181-185.
 Guo Jun,et al.Study on egg quality heritability based on Meta-analysis[J].Jiangsu Agricultural Sciences,2020,48(13):181-185.
点击复制

基于荟萃分析的蛋质量遗传力研究(PDF)
分享到:

《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第48卷
期数:
2020年第13期
页码:
181-185
栏目:
畜牧兽医与水产蚕桑
出版日期:
2020-07-05

文章信息/Info

Title:
Study on egg quality heritability based on Meta-analysis
作者:
郭军 曲亮 窦套存 王星果 胡玉萍 王克华
江苏省家禽科学研究所,江苏扬州 225125
Author(s):
Guo Junet al
关键词:
蛋质量荟萃分析遗传力周龄
Keywords:
-
分类号:
S831.2
DOI:
-
文献标志码:
A
摘要:
蛋质量是蛋鸡、肉种鸡选育工作中重要指标,许多研究团队针对蛋质量性状开展了遗传评估,但结果不一致。荟萃分析旨在评估蛋鸡、肉种鸡及地方鸡种蛋质量遗传力及其动态变化规律。检索ISI Web of Science、Biological Abstract及中国知网数据库,收集1960年1月至2019年6月国内外发表的蛋质量遗传力相关研究,共有115条记录符合内控标准。应用随机效应模型、亚组分析及出版偏差检验来评估蛋质量遗传力数据集。随机效应模型分析结果表明蛋质量遗传力为0.51±0.01,不同研究结果之间异质性较高;亚组分析结果表明,白壳蛋鸡亚群蛋质量遗传力为055±0.02,洛岛红鸡亚群蛋质量遗传力为0.52±0.02,肉种鸡亚群蛋质量遗传力为0.50±0.04,地方鸡亚群蛋质量遗传力为0.46±0.02。随着周龄增加,蛋质量遗传力先升后降,最高值出现在45~54周龄。本研究结果表明,遗传背景和周龄可能是导致蛋质量异质性较高的原因。
Abstract:
-

参考文献/References:

[1]Bain M M,Nys Y,Dunn I C. Increasing persistency in lay and stabilising egg quality in longer laying cycles. What are the challenges?[J]. British Poultry Science,2016,57(3):330-338.
[2]王克华. 地方特色蛋鸡的开发与利用[J]. 中国家禽,2017,39(7):1-5.
[3]胡瑀,张自芳,吉丽,等. 云南维西那米鸡蛋品质分析[J]. 云南农业大学学报(自然科学),2019,34(3):440-445.
[4]王克华,窦套存,曲亮,等. 七个鸡种蛋品质比较分析[J]. 中国家禽,2012,34(5):23-27,31.
[5]Sirri F,Zampiga M,Soglia F,et al. Quality characterization of eggs from Romagnola hens,an Italian local breed[J]. Poultry Science,2018,97(11):4131-4136.
[6]Haunshi S,Burramsetty A K,Kannaki T R,et al. Survivability,immunity,growth and production traits in indigenous and white Leghorn breeds of chicken[J]. British Poultry Science,2019,60(6):683-690.
[7]Szydowski M,Szwaczkowski T. Bayesian segregation analysis of production traits in two strains of laying chickens[J]. Poultry Science,2001,80(2):125-131.
[8]Sewalem A,Johansson K. Egg weight and reproduction traits in laying hens:estimation of direct and maternal genetic effects using Bayesian approach via Gibbs sampling[J]. Animal Science,2000,70(1):9-16.
[9]Akanno E C,Schenkel F S,Quinton V M,et al. Meta-analysis of genetic parameter estimates for reproduction,growth and carcass traits of pigs in the tropics[J]. Livestock Science,2013,152(2/3):101-113.
[10]Safari E,Fogarty N M,Gilmour A R. A review of genetic parameter estimates for wool,growth,meat and reproduction traits in sheep[J]. Livestock Production Science,2005,92(3):271-289.
[11]de Oliveira H R,Ventura H T,Costa E V,et al. Meta-analysis of genetic-parameter estimates for reproduction,growth and carcass traits in Nellore cattle by using a random-effects model[J]. Animal Production Science,2018,58(9):1575-1583.
[12]Jembere T,Dessie T,Rischkowsky B,et al. Meta-analysis of average estimates of genetic parameters for growth,reproduction and milk production traits in goats[J]. Small Ruminant Research,2017,153:71-80.
[13]Masso R D,Dottavio A M,Canet Z,et al. Body weight and egg weight dynamics in layers[J]. Poultry Science,1998,77(6):791-796.
[14]Viechtbauer W. Conducting meta-analyses in rwith themetafor package[J]. Journal of Statistical Software,2010,36(3):1-48.
[15]Schwarzer G,Carpenter J R,Rücker G. Meta-analysis with R[M]. Berlin:Springer,2015.
[16]Wickham H. Ggplot2:elegant graphics for data analysis[M]. Berlin:Springer,2016.
[17]Higgins J T,Thompson S G. Quantifying heterogeneity in a meta-analysis[J]. Statistics in Medicine,2002,21(11):1539-1558.
[18]Higgins J T. Measuring inconsistency in meta-analyses[J]. BMJ,2003,327(7414):557-560.
[19]Kurex S,Jeffrey N J. A comparison of heterogeneity variance estimators in combining results of studies[J]. Statistics in Medicine,2007,26(9):1964-1981.
[20]Viechtbauer W. Bias and efficiency of Meta-analytic variance estimators in the random-effects model[J]. Journal of Educational and Behavioral Statistics,2005,30(3):261-293.
[21]Egger M,Davey Smith G,Schneider M,et al. Bias in meta-analysis detected by a simple,graphical test[J]. BMJ,1997,315(719):629-634.
[22]Francesch A,Estany J,Alfonso L,et al. Genetic parameters for egg number,egg weight,and eggshell color in three Catalan poultry breeds[J]. Poultry Science,1997,76(12):1627-1631.
[23]Goger H. An evaluation of selection data of barred rock-1 and Rhode Island red-1 pure line laying hens at the poultry research institute of Ankara[J]. Asian Journal of Animal and Veterinary Advances,2016,11(10):643-649.
[24]吴桂琴,李花妮,刘会英,等. 峪口褐壳纯系蛋鸡父系主要性状的遗传参数分析[J]. 中国家禽,2015,37(9):49-51.
[25]Danbaro G,Oyama K,Mukai F,et al. Estimation of genetic parameters by restricted maximum likelihood under multi-trait animal models in selected layer lines[J]. Japanese Poultry Science,1996,33(3):185-192.
[26]Szwaczkowski T,Bednarczyk M,Kieczewski K. Direct,maternal and cytoplasmic variance estimates of egg production traits in laying hens[J]. Journal of Animal and Feed Sciences,1999,8(4):589-598.
[27]Zamani P,Jasouri M,Moradi M R. Comparison of different models for genetic evaluation of egg weight in Mazandaran fowl[J]. British Poultry Science,2015,56(6):631-638.
[28]Yi G Q,Shen M M,Yuan J W,et al. Genome-wide association study dissects genetic architecture underlying longitudinal egg weights in chickens[J]. BMC Genomics,2015,16(1):746.
[29]Liu Z,Sun C J,Yan Y Y,et al. Genome-wide association analysis of age-dependent egg weights in chickens[J]. Frontiers in Genetics,2018,9:128.

相似文献/References:

[1]尹国安,柯轲.纳米蒙脱石对断奶仔猪生长性能影响的荟萃分析[J].江苏农业科学,2014,42(02):181.
 Yin Guoan,et al.Meta-analysis of effect of nano-montmorillonite on growth of weaned piglets[J].Jiangsu Agricultural Sciences,2014,42(13):181.

备注/Memo

备注/Memo:
收稿日期:2020-06-05
基金项目:江苏现代农业产业技术体系建设项目(编号:JATS[2019]378);国家现代蛋鸡产业技术体系建设专项(编号:CARS-40-K01);江苏省农业重大新品种创制项目(编号:PZCZ201729);国家重点研发计划(编号:2018YFD0501302)。
作者简介:郭军(1971—),男,黑龙江牡丹江人,博士,副研究员,主要从事数量性状遗传评估。E-mail:guojun.yz@gmail.com。
通信作者:王克华,博士,研究员,主要
更新日期/Last Update: 2020-07-05