[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]Szydowski 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,Kieczewski 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.
[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.