本文選題：全基因組選擇 + 貝葉斯模型�。� 參考：《畜牧獸醫(yī)學(xué)報(bào)》2017年01期

【摘要】：本研究旨在探索顯性效應(yīng)對(duì)基因組育種值估計(jì)準(zhǔn)確性的影響�；谪惾~斯A模型,根據(jù)加性效應(yīng)和顯性效應(yīng)相關(guān)性,提出兩種子模型:1)加性效應(yīng)和顯性效應(yīng)相互獨(dú)立的BayesAD1模型;2)顯性系數(shù)(Dominant coefficients)與加性效應(yīng)的絕對(duì)值相互獨(dú)立,并且顯性系數(shù)服從正態(tài)分布的BayesAD2模型。通過(guò)模擬數(shù)據(jù)比較加性效應(yīng)模型BayesAD0和兩種顯性效應(yīng)模型下基因組估計(jì)育種值(GEBV)的準(zhǔn)確性,并且研究不同數(shù)量性狀基因座(Quantitative trait locus,QTL)數(shù)、全同胞家系內(nèi)個(gè)體數(shù)和加性方差與顯性方差的比重對(duì)GEBV準(zhǔn)確性的影響。結(jié)果表明,顯性模型可以減緩隨著世代變化GEBV的準(zhǔn)確性降低的趨勢(shì)。另外,顯性方差的比重越大,對(duì)GEBV的準(zhǔn)確性影響越大。當(dāng)加性方差與顯性方差之比達(dá)到0.25時(shí),BayesAD2有較大優(yōu)勢(shì),分別比BayesAD1和BayesAD0準(zhǔn)確性高20.3%和28.4%。全同胞數(shù)越多,GEBV的準(zhǔn)確性越高,QTL數(shù)目增多,GEBV估計(jì)的準(zhǔn)確性隨之下降。結(jié)果顯示,對(duì)顯性效應(yīng)占較大比重即低遺傳力的性狀進(jìn)行育種值估計(jì)時(shí),考慮顯性效應(yīng)可以提高育種值估計(jì)準(zhǔn)確性。
[Abstract]:The purpose of this study is to explore the dominant effects influence the accuracy of the estimation results of genomic breeding value. Based on Bayesian A model, according to the additive effect and dominant effect correlation, put forward two seed model: 1) BayesAD1 model of additive effect and dominant effect independent of each other; 2) (Dominant coefficients) dominant coefficient absolute value and the additive effect of each other independent and dominant coefficient obeys the BayesAD2 model of normal distribution. Through the simulation data between additive effect BayesAD0 model and two kinds of dominant effects model of genomic estimated breeding value (GEBV) and the accuracy of different quantitative trait loci (Quantitative, trait locus, QTL), effect of full sib families within the individual number and the additive variance and dominant variance proportion on the accuracy of GEBV. The results show that the dominant model with reduced accuracy can slow the generation changes the trend of the GEBV. In addition, the dominant party The greater the proportion of poor, affect the accuracy of the greater the GEBV. When the additive variance and dominant variance ratio reached 0.25, BayesAD2 has a larger advantage than BayesAD1 and BayesAD0 high accuracy 20.3% and 28.4%. full sib number, the accuracy of GEBV is higher, the number of QTL increased, the accuracy of the GEBV estimation is decreased. The results showed that the breeding value to estimate the dominant effect of a larger proportion of low heritability traits, considering the dominant effect can improve the estimation accuracy of breeding value.

【作者單位】： 中國(guó)農(nóng)業(yè)科學(xué)院北京畜牧獸醫(yī)研究所;
【基金】：基金項(xiàng)目 現(xiàn)代農(nóng)業(yè)(肉牛)產(chǎn)業(yè)技術(shù)體系崗位科學(xué)家(CARS-38) 中國(guó)農(nóng)業(yè)科學(xué)院科技創(chuàng)新工程-牛遺傳育種(ASTIP-IAS03)
【分類(lèi)號(hào)】：S813.1

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