基于Gibbs抽样的贝叶斯方法估计大菱鲆生长和耐高温性状的遗传参数

为了开展大菱鲆耐高温选育工作,对其进行耐高温性状及其相关生长性状的遗传评估是非常必要的。以来源于英国、法国、丹麦和挪威4个国家的不同群体构建大菱鲆选育家系,利用F₁的20个和F₂的22个耐高温选育家系进行耐高温实验,统计耐高温评估指标（UTT）和相应的实验鱼体重（每个家系选取40-50尾实验鱼）。基于Gibbs抽样的贝叶斯方法,采用包含母性效应和不包含母性效应的两种动物模型,对大菱鲆耐高温（UTT）和生长性状的遗传力以及这两个性状间的遗传相关和表型相关进行分析。结果表明,基于不包含母性效应的动物模型估计的体重和耐高温性状的遗传力以及这两个性状之间的表型相关和遗传相关分别为0.239±0.141,0.111±0.080,0.075±0.026和-0.019±0.011。基于包含母性效应的动物模型估计的这4个值分别为0.203±0.115,0.055±0.026,0.047±0.034和-0.024±0.028,体重和耐高温性状的母性效应分别为0.050±0.017和0.013±0.004。母性效应对这两个性状的遗传评估有一定的影响。本文的研究结论为制订合理的大菱鲆耐高温育种规划提供了理论依据。     

大菱鲆低温生长遗传参数及相关的估计

The objectives of this present research were to assess the heritability of growth traits under low temperature conditions in turbot(Scophthalmus maximus L.), and to analyze the correlation between body weight(BW) and body length(BL). There were 536 individuals from 25 full- and half-sib families involved in this study. During the entire 90-day period, which was initiated at 233 dph(day old) and ended at 323 dph, the individuals' BW and BL were weighed consecutively six times every 18 days. The heritability of BW and BL and the correlation between these two traits were estimated based on an individual animal model with the derivative-free restricted maximum likelihood(DFREML) method. These results showed that the specific growth rates(SGR) of 25 families was from 0.75±0.11 to 1.05±0.14 under water temperature of 10.5–12°C. In addition, the heritability of BW and BL estimated under low-temperature were 0.32±0.04 and 0.47±0.06, respectively. The BW had a medium heritability(0.2–0.4), and the BL had a high heritability(0.45), which suggested that selection for increased weight and length was feasible. Moreover, there was potential for mass selection on growth. The genetic and phenotypic correlations between BW and BL were 0.95±0.01 and 0.91±0.01(P 0.01), respectively. A significant correlation between BW and BL showed that BL could be instead of BW for indirect selection, which could be effectively implemented in the breeding program.     

大菱鲆(Scophrhalmus maximus)不同生长阶段体重的遗传参数和育种值估计

采用非求导约束最大似然法(DFREML)进行了大菱鲆不同生长阶段体重的遗传参数和育种值研究,每一生长阶段分别对4种不同动物模型估计遗传参数的差异进了比较.不同模型中对全同胞家系效应和日龄协变量作了不同的考虑:模型A,不考虑全同胞家系效应和日龄协变量:模型AD,仅考虑日龄协变量;模型AE仅考虑全同胞家系效应;模型AFD,同时考虑全同胞家系效应和日龄协变量.结果表明,6月龄利用模型AF,3月龄、9月龄、12月龄、15月龄利用模型AFD对遗传参数和育种值进行估计较为适合.利用育种值选择和表型值选择两种方法分别进行了家系选择和个体选择的效率比较,结果表明,在每一生长阶段依据育种值选择的效率均高于表型值选择的效率.利用不同生长阶段的家系育种值以及亲本育种值分别进行了家系选择比较和亲本选择比较,结果表明,在不同生长阶段,按家系、父本和母本的育种值分别排序,前50%的相同率和育种值的相关系数均为9-12月龄较6-9月龄的提高幅度比其它相邻阶段显著增加,推测家系提前筛选的时间以及父本和母本选择的时期均不低于9月龄.     

大菱鲆（Scophthalmus maximus）不同生长阶段体重的遗传参数和育种值估计

采用非求导约束最大似然法（DFREML）进行了大菱鲆不同生长阶段体重的遗传参数和育种值研究,每一生长阶段分别对4种不同动物模型估计遗传参数的差异进了比较。不同模型中对全同胞家系效应和日龄协变量作了不同的考虑：模型A,不考虑全同胞家系效应和日龄协变量;模型AD,仅考虑日龄协变量;模型AF,仅考虑全同胞家系效应;模型AFD,同时考虑全同胞家系效应和日龄协变量。结果表明,6月龄利用模型AF,3月龄、9月龄、12月龄、15月龄利用模型AFD对遗传参数和育种值进行估计较为适合。利用育种值选择和表型值选择两种方法分别进行了家系选择和个体选择的效率比较,结果表明,在每一生长阶段依据育种值选择的效率均高于表型值选择的效率。利用不同生长阶段的家系育种值以及亲本育种值分别进行了家系选择比较和亲本选择比较,结果表明,在不同生长阶段,按家系、父本和母本的育种值分别排序,前50％的相同率和育种值的相关系数均为9-12月龄较6—9月龄的提高幅度比其它相邻阶段显著增加,推测家系提前筛选的时间以及父本和母本选择的时期均不低于9月龄。     

大菱鲆(Scophthalmus maximus)幼鱼生长性状的遗传力及其相关性分析

以4种不同地理群体大菱鲆为亲本,采用巢式设计方法和人工采卵授精技术,按照1雄配2雌的原则,构建了28个父系半同胞家系和56个母系全同胞家系,分别测定了每个母系生长到6月龄的全同胞个体60个后代的体长、全长、体高、体重,应用数量遗传学原理,利用全同胞资料,采用方差、协方差分析的方法,研究了大菱鲆6月龄生长性状的遗传力及性状间的遗传相关和表型相关。对性状遗传力研究结果表明,雌性遗传方差组分均大于雄性遗传方差组分,雌性遗传方差组分存在显著的母性效应。基于父系半同胞组内相关法估计的遗传力是大菱鲆体长、全长、体高、体重遗传力的无偏估计值,估计的遗传力准确可靠,估计值分别为0．282、0．251、0．283、0．450,为中高等遗传力,显示对大菱鲆生长性状进行选择育种具有很大的潜力。对性状间相关性分析结果表明,依据父系半同胞遗传协方差组分和表型协方差分别估计体长．全长、体长一体高、体长．体重、全长。体高、全长一体重、体高一体重间的遗传相关和表型相关,遗传相关在0．888-0．985,表型相关在0．864—0．957,各性状间遗传相关和表型相关经t检验均达到极显著水平（P〈0．01）。     

施氏獭蛤早期生长性状遗传参数和育种值估计

以2代选育群体为亲本、采用巢式设计构建21个施氏獭蛤(Lutraria sieboldii)全同胞家系,利用混合线性模型对30日龄和80日龄施氏獭蛤生长性状进行遗传参数和育种值估计.结果显示:施氏獭蛤早期发育过程中壳长生长速度较壳高快,性状间遗传相关系数范围为0.96～0.98,表型相关系数范围为0.77～0.96,均...     

利用父母本微卫星标记估计大菱鲆(Scophthalmus maximus L.)幼鱼生长性状的遗传参数

The estimation of genetic parameters has played an important role in animal selective breeding for growth traits.Recently studies show that molecular markers can be incorporated into genetic evaluations. In order to improve the performance of an incomplete pedigree(i.e, only parents are known) in the genetic evaluations, 12 microsatellite markers have been applied in the estimation of the genetic parameters for body weight in a farmed population(n=1 890) of juvenile turbot(Scophthalmus maximus L.). A new relatedness called parental molecular relatedness(PMR) is estimated based on results of genotyping of 48 parents(31 males, 17 females) with microsatellites markers. The feasibility of PMR in estimation of genetic parameters is verified by comparison with pedigree related(PR) which is obtained from a complete pedigree. The results demonstrate that a high correlation(0.872) between them is found. Heritabilities are estimated using the PMR(0.52±0.13) and PR(0.55±0.22) with the same animal model. A cross-validation shows that the predictive abilities of models using the PMR and the PR are identical(0.81). From that, a conclusion can be made that PMR and PR predicted genetic values equally well in a population of juvenile turbot. Therefore PMR can be applied as an alternative of the PR when only parents are known. However, for a better performance, more markers and more families should be included in a further study.     

大菱鲆体重和形态性状的遗传动态分析

In order to elucidate the genetic mechanism of growth traits in turbot during ontogeny, developmental genetic analysis of the body weights, total lengths, standard lengths and body heights of turbots was conducted by mixed genetic models with additive-dominance effects, based on complete diallel crosses with four different strains of Scophthalmus maximus from Denmark, Norway, Britain, and France. Unconditional genetic analysis revealed that the unconditional additive effects for the four traits were more significant than unconditional dominance effects, meanwhile, the alternative expressions were also observed between the additive and dominant effects for body weights, total lengths and standard lengths. Conditional analysis showed that the developmental periods with active gene expression for body weights, total lengths, standard lengths and body heights were 15–18, 15 and 21–24, 15 and 24, and 21 and 27 months of age, respectively. The proportions of unconditional/conditional variances indicated that the narrow-sense heritabilities of body weights, total lengths and standard lengths were all increased systematically. The accumulative effects of genes controlling the four quantitative traits were mainly additive effects, suggesting that the selection is more efficient for the genetic improvement of turbots. The conditional genetic procedure is a useful tool to understand the expression of genes controlling developmental quantitative traits at a specific developmental period(t-1→t) during ontogeny. It is also important to determine the appropriate developmental period(t-1→t) for trait measurement in developmental quantitative genetic analysis in fish.     

基于最大似然法的钓鱼岛航空遥感 监视监测信息提取

基于国家海岛监视监测系统的高精度影像数据,运用最大似然分类法对钓鱼岛监视监测信息图像进行监督分类,较 为准确地提取出钓鱼岛基本地物类型,清晰反演钓鱼岛地貌特征,并引用了主次要分析去噪法进一步提高了分类精度,取得 较好的分类效果。     

文蛤早期发育阶段生长性状遗传参数的估计

采用部分因子设计构建了23个全同胞家系,应用单性状及两性状动物模型对文蛤(Meretrix meretrix)早期不同生长发育时期的生长性状进行遗传力和相关性估计。结果表明,文蛤附着变态期以及稚贝期生长性状的遗传力并无显著差别,在0.11~0.41范围内变化,属于中等遗传力。非遗传的共同环境效应随着年龄的增长而呈现上升趋势,由附着变态期的0.02逐渐增加到稚贝期的0.38,且稚贝期的共同环境效应显著大于其附着变态期(P0.01)。壳长与壳高表型相关和遗传相关的分析结果显示,从附着变态期到稚贝期,壳长与壳高之间的表型相关及遗传相关都存在极显著的正相关性,相关系数的范围分别为0.84~0.95、0.93~0.99。早期发育连续时间段生长性状之间的遗传相关均为正相关,但并不显著,且不同时期的遗传相关也不尽相同(0.34~0.71)。     

Estimating genetic parameters with molecular relatedness and pedigree reconstruction for growth traits in early mixed breeding of juvenile turbot

An introduced turbot population was used to establish families and to estimate genetic parameters of the offspring. However, there is a lack of pedigree information, and common environmental effects can be introduced when each full-sib family is raised in a single tank. Therefore, in the genetic evaluation, SSRs(simple sequence repeats) were used to reconstruct the pedigree and to calculate molecular relatedness between individuals, and the early mixed-family culture model was used to remove the impact of the common environmental effects. After100 d of early mixed culture, twenty SSRs were used to cluster 20 families and to calculate paired molecular relationships(n=880). Additive genetic matrices were constructed using molecular relatedness(MR) and pedigree reconstruction(PR) and were then applied to the same animal model to estimate genetic parameters. Based on PR, the heritabilities for body weight and body length were 0.214±0.124 and 0.117±0.141, and based on MR they were 0.101±0.031 and 0.102±0.034, respectively. Cross validation showed that the accuracies of the estimated breeding values based on MR(body weight and body length of 0.717±0.045 and 0.629±0.141, respectively) were higher than those of PR(body weight and body length of 0.692±0.052 and 0.615±0.060, respectively). The MR method ensure availability of all genotyped selection candidates, thereby improving the accuracy of the breeding value estimation.     

Estimation of genetic parameters and breeding values in shrimp Fenneropenaeus chinensis using the REML/BLUP procedure

An analysis of a selection experiment was used to assess the impact of various animal model structures on REML estimates of variance components.The analyses were carried out based on 162 d body mass (BM) of 1 287 animals from 21 paternal half-sib groups of Fenneropenaeus chinensis.Estimated breeding values (EBV) of BM of all individuals were estimated using eight statistical models (A,AB,ABC,ABDC,ABMFC,ABMDC,ABFDC and ABMFDC) and BLUP (best linear unbiased prediction).These models were designed involving factors such as sex,spawn date as fixed effects,maternal genetic effects,full-sib family effects as random effects,mean BM of families at tagging and age at recording (covariate).The results demonstrate the importance of correct interpretation of effects in the data set,particularly those that can influence resemblance between relatives.The data structure and the particular model that was applied markedly influenced the magnitude of variance component estimates.Models based on few effects obtained upward biased estimates of additive genetic variance.The accuracy of genetic parameters and breeding value estimated by ABFDC model was higher than other models.The results imply that additive genetic direct value,full-sib family effects,and covariance effects besides sex and spawn date as fixed effects were very important for estimating genetic parameters and breeding value of body mass.This model had a heritability estimate of 162 d BM of 0.44.The comparison of the efficiency of selection based on breeding values or phenotypic value revealed great difference:average breeding value of the best 24 families selected by the 162 d BM breeding value and phenotype were 0.577 g and 0.366 g,respectively,representing a 36.57% higher efficiency in the former.In conclusion,selection based on breeding value was more effective than selection based on phenotypic value.Our results indicate that effects influencing the magnitude of estimates should be taken into account when estimating heritability and breeding values for BM.     

大菱鲆体重和主要体型比率性状的遗传动态分析

The objective of this study was to estimate genetic parameters of body width(BW)to body length(BL)ratio(BW/BL)and of body weight traits(BWT)in turbot,and to elucidate the genetic mechanism of the two traits during ontogeny by dynamic genetic analysis.From 3 to 27 months,BW,BL and BWT of each communally stocked fish were measured every 3 months.The BW/BL ratio was measured at different sampling ages.A twotrait animal model was used for genetic evaluation of traits.The results showed that the heritability values of BW/BL ratio ranged from 0.2168 to 0.3148,corresponding to moderate heritability.The BWT heritability values ranged from 0.2702 to 0.3479 corresponding to moderate heritability.The heritability of BW/BL ratio was lower than that of BWT,except at 3 months of age.Genetic correlation between BW/BL ratio and BWT decreased throughout the measurement period.Genetic correlations were higher than the phenotypic correlations.The current results for estimating genetic parameters demonstrate that the BW/BL ratio could be used as a phenotypic marker of fast-growing turbot,and the BW/BL ratio and BWT could be improved simultaneously through selective breeding.     

大菱鲆的生物学特性和苗种生产关键技术

简要介绍了大菱鲆的形态、生态、生长和生殖等生物学特性以及胚胎和仔稚鱼发育过程中的形态特征变化,着重报道了有关亲鱼培育、控光控温和人工采卵以及室内水泥池苗种培育等人工繁育的关键技术。     

Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling

In order to carry out the genetic improvement of turbot upper thermal tolerance, it is necessary to estimate the genetic parameters of UTT(upper thermal tolerance) and growth-related traits. The objective of this study was to estimate genetic parameters for BW(body weight) and UTT in a two-generational turbot(Scophthalmus maximus L.) pedigree derived from four imported turbot stocks(England, France, Denmark and Norway). A total of 42 families including 20 families from G1 generation and 22 families from G2 generation were used to test upper thermal tolerance(40–50 animals per family) in this study and the body weight of individuals were measured. The heritability of BW and UTT and the correlation between these two traits were estimated based on an individual animal model using Bayesian method based on two types of animal models with and without maternal effects.These results showed that the heritabilities for BW and UTT and phenotypic and genetic correlations between the two traits estimated from model without maternal effects were 0.239±0.141, 0.111±0.080, 0.075±0.026 and–0.019±0.011, respectively. The corresponding values from model with maternal effects were 0.203±0.115,0.055±0.026, 0.047±0.034 and –0.024±0.028, respectively. The maternal effects of BW and UTT were 0.050±0.017 and 0.013±0.004, respectively. The maternal effects had a certain influence on the genetic evaluation of the two traits. The findings of this paper provided the necessary background to determine the best selection strategy to be adopted in the genetic improvement program.     

大菱鲆体重性状遗传参数及选育遗传进展研究

本研究估计了大菱鲆收获体重性状的遗传参数和选育遗传进展。数据共包括3个世代（G0,G1,G2）的508个全同胞家系10952尾个体。G0,G1,G2的体重估计遗传力分别为0.11±0.08,0.18±0.09,0.17±0.07;世代间估计遗传力为0.19±0.04。每一世代母本和共同环境效应分别为0.10±0.04,0.14±0.04,0.13±0.03;世代间为0.12±0.01。G0和G1世代选择差分别为,18.24g和21.19g。对应的G1和G2世代的遗传进展为22.06g,11.93g;百分比表示分别为6.36%,3.52%。连续两代选择之后总遗传进展为10.10%。以上结果说明针对大菱鲆体重性状的选育项目是成功的。     

Estimation of genetic parameters for upper thermal tolerances and growth-related traits in turbot Scophthalmus maximus

An abnormally high temperature produces a stress response in turbot causing large economic losses in the turbot aquaculture industry of China. A genetic improvement of the upper thermal tolerance (UTT) of turbot could allow cultured fi sh to adapt. A genetic evaluation of UTT is required for determining the practicability of including this trait into a breeding program. In this study, data were recorded from a temperature tolerance test conducted on 3 200 individual turbots from 32 full-sib groups. A cross-sectional linear model and a cross-sectional threshold probit model were used to analyze the test-period survival and a cross-sectional threshold logit model was used to analyze the test-day survival. In addition, phenotypic and genetic correlations between body weight and survival data were estimated. The estimated heritability values obtained from the cross-sectional linear model (CSL), the cross-sectional threshold (probit) model (THRp), and the cross-sectional threshold (logit) model (THRl) were 0.247 9±0.108 3, 0.288 3±0.161 2, and 0.106 9±0.045 2, respectively. The correlation coeffi cients among the full-sib family estimated breeding values (EBVs) obtained from the three models were greater than 0.998 6 and all models produced an almost identical family ranking. The accuracies of selection obtained with the CSL, THRp, and THRl model were 0.773 8, 0.775 4, and 0.784 4, respectively, the greatest from the THRl model. The genetic correlations between body weight and survival data EBVs from the CSL, THRp, and THRl models were 0.020 1,-6.201 1×10^-4 , and -3.115 4×10^-4 , respectively, and the phenotypic correlations between the two traits were -0.837 1 and -0.667 1, respectively. The findings of this study provide background information to determine the best strategy of selection for the genetic improvement of UTT in turbot.