Genome-wide association study of swine farrowing traits. Part I: Genetic and genomic parameter estimates

The primary objective of this study was to determine genetic and genomic parameters among swine (Sus scrofa) farrowing traits. Genetic parameters were obtained using MTDFREML. Genomic parameters were obtained using GENSEL. Genetic and residual variances obtained from MTDFREML were used as priors for the Bayes C analysis of GENSEL. Farrowing traits included total number born (TNB), number born alive (NBA), number born dead (NBD), number stillborn (NSB), number of mummies (MUM), litter birth weight (LBW), and average piglet birth weight (ABW). Statistically significant heritabilities included TNB (0.09, P = 0.048), NBA (0.09, P = 0.041), LBW (0.20, P = 0.002), and ABW (0.26, P < 0.0001). Statistically significant genetic correlations included TNB-NBA (0.97, P < 0.0001), TNB-LBW (0.74, P < 0.0001), NBA-LBW (0.56, P < 0.0017), NSB-LBW (0.87, P < 0.0395), and LBW-ABW (0.63, P < 0.0002). Genetic parameters are similar to others found in the literature. The proportion of phenotypic variance explained by genomic markers (GP) generated by GENSEL was TNB (0.04), NBA (0.06), NBD (0.00), NSB (0.01), MUM (0.00), LBW (0.11), and ABW (0.31). Limited information is available in the literature about genomic parameters. Only the GP estimate for NSB is significantly lower than what has been published. The GP estimate for ABW is greater than the estimate for heritability found in this study. Other traits with significant heritability had GP estimates half the value of heritability. This research indicates that significant genetic markers will be found for TNB, NBA, LBW, and ABW that will have either immediate use in industry or provide a roadmap to further research with fine mapping or sequencing of areas of significance. Furthermore, these results indicate that genomic selection implemented at an early age would have similar annual progress as traditional selection, and could be incorporated along with traditional selection procedures to improve genetic progress of litter traits.     

Genetic parameters for litter traits at different parities in purebred Landrace and Yorkshire pigs

Comparison of the multi‐trait animal model and the traditional repeatability model was carried out using data obtained from 6,424 Landrace and 20,835 Yorkshire sows farrowed from January 2000 to April 2018 in order to estimate genetic parameters for litter traits at different parities. Specifically, records of the total number born (TNB), number born alive (NBA), total number of mortality (MORT), number of stillborn (NSB) and number of mummified pigs (MUM) were used. Although results showed the heterogeneity of heritability for litter traits at different parities, the mean heritability estimates from the multi‐trait model were found to be higher than those of the repeatability model for all traits in both pig breeds. In terms of genetic correlation between parities, a slight difference in genetic control in the first parity was noted for TNB and NBA in Landrace and Yorkshire pigs. The correlation between the first parity and later parities ranged from 0.48 to 0.74 for TNB and NBA in both breeds. Moreover, genetic correlation between parities for MORT and NSB was observed to be high for parities higher than 2 in Yorkshire pigs. For MUM, genetic correlation between the first and other parities was generally low in both breeds, indicating that culling pigs on the basis of MUM at the first parity could probably be unreasonable. Overall, the results of this study suggest that the multi‐trait approach for litter size traits is useful for the accurate estimation of genetic parameters.     

荣昌猪初产繁殖性状的全基因组关联研究

旨在鉴定荣昌猪初产繁殖性状的重要变异位点和基因,为荣昌猪繁殖性状的遗传改良提供重要的分子标记和基因资源。本研究选取429头荣昌母猪进行猪50K芯片基因分型,经过质量控制和基因型填充后,保留35 046个SNPs用于分析。采用主成分分析法研究群体结构,利用混合线性模型(mixed-linear model, MLM)将出生年、出生月作为固定效应,将主成分值作为协变量对总产仔数、活产仔数、死胎数和初生窝重性状进行全基因组关联分析(GWAS)。结果显示,在全基因组显著水平上鉴定出2个影响荣昌猪初生窝重的SNPs和1个影响荣昌猪死胎数的SNP;在潜在显著水平上鉴定到5个影响荣昌猪总产仔数的SNPs, 3个影响荣昌猪活产仔数的SNPs和10个影响荣昌猪死胎数的SNPs。通过全基因组关联分析筛选到1个显著的SNP(SSC17:57 315 180 bp)同时影响荣昌猪总产仔数、活产仔数和初生窝重,1个显著的SNP(SSC1:279 214 647 bp)同时影响荣昌猪活产仔数和总产仔数,暗示基因在不同性状间具有一因多效性。本研究根据候选基因的相关分子生物学功能,确定BMP7基因为影响荣昌猪总产仔数...     

A genome scan for quantitative trait loci and imprinted regions affecting reproduction in pigs

Quantitative trait loci for reproductive traits in a three-generation resource population of a cross between low-indexing pigs from a control line and high-indexing pigs from a line selected 10 generations for increased index of ovulation rate and embryonic survival are reported. Phenotypic data were collected in F2 females for birth weight (BWT, n = 428), weaning weight (WWT, n = 405), age at puberty (AP, n = 295), ovulation rate (OR, n = 423), number of fully formed pigs (FF, n = 370), number of pigs born alive (NBA, n = 370), number of mummified pigs (MUM, n = 370), and number of stillborn pigs (NSB, n = 370). Grandparent, F1, and F2 animals were genotyped for 151 microsatellite markers. Sixteen putative QTL (P < 0.10) for reproductive traits were identified in previous analyses of these data with single QTL line-cross models. Data were reanalyzed with multiple QTL models, including imprinting effects. Data also were analyzed with half-sib models. Permutation was used to establish genome-wide significance levels ( = 0.01, 0.05, and 0.10). Thirty-one putative QTL for reproductive traits and two QTL for birth weight were identified (P < 0.10). One Mendelian QTL for FF (P < 0.05), one for NBA (P < 0.05), three for NSB (P < 0.05), three for NN (P < 0.05), seven for AP (P < 0.10), five for MUM (P < 0.10), and one for BWT (P < 0.10) were found. Partial imprinting of QTL affecting OR (P < 0.01), BWT (P < 0.05), and MUM (P < 0.05) was detected. There were four paternally expressed QTL for NN (P < 0.10) and one each for AP (P < 0.05) and MUM (P < 0.10). Maternally expressed QTL affecting NSB (P < 0.10), NN (P < 0.10), and MUM (P < 0.10) were detected. No QTL were detected with half-sib analyses. Multiple QTL models with imprinting effects are more appropriate for analyzing F2 data than single Mendelian QTL line-cross models.     

Comparison of genetic improvement for litter size at birth by direct and indirect selection in swine herd

Responses to selection for number of piglets born alive (NBA) by the total number of piglets born (TNB), the NBA, and the NBA plus number of piglets born dead (NBD) were compared using the accuracy of selection and expected genetic gain calculated from the selection index with family information and the real response to selection, using data generated by Monte Carlo computer simulation. The accuracy of selection for NBA selected by TNB was higher than that by NBA only if the genetic correlation between TNB and NBA was close to 1.0, or the value of heritability for the TNB was much larger than that for the NBA. The accuracy of selection for the NBA selected by the combination of the TNB and the NBA was generally highest in the three selection methods in each family structure. Selection by the TNB resulted in the greatest expected genetic gain for the TNB among the selection methods. In the best linear unbiased prediction (BLUP) selection, the genetic gain for the NBA accumulated by the NBA tended to be similar to that accumulated by the combination of the NBA and the NBD, and both genetic gains at generation 10 were significantly larger than that by the TNB (P < 0.001). The accumulated responses selected by the two‐trait animal model BLUP estimated from genetic parameters with errors were similar to those estimated from the true parameters, and there was no significant difference between them. These results indicate that selection by the NBA or by the NBA and the NBD gives more genetic improvement in the NBA than that by the TNB.     

Estimation of genetic parameters for farrowing traits in purebred Landrace and Large White pigs

Genetic parameters were estimated for six reproductive traits related to farrowing events in Landrace and Large White pigs; total number born (TNB), number born alive (NBA), number stillborn (NSB), total litter weight at birth (LWB), mean litter weight at birth (MWB), and gestation length (GL). We analyzed 62,534 farrowing records for 10,637 Landrace dams and 49,817 farrowing records for 8,649 Large White dams. Estimated heritabilities of TNB, NBA, NSB, LWB, MWB, and GL by single‐trait repeatability model analyses were 0.12, 0.12, 0.08, 0.18, 0.19, and 0.29, respectively, in Landrace, and 0.12, 0.10, 0.08, 0.18, 0.16, and 0.34, respectively, in Large White. Genetic correlation between NBA and NSB was unfavorable: 0.20 in Landrace and 0.33 in Large White. Genetic correlations of GL with the other five traits were weak: from ?0.18 with NSB to ?0.03 with NBA in Landrace, and from ?0.22 with NSB to ?0.07 with NBA in Large White. LWB had a highly favorable genetic correlation with NBA (0.74 in both breeds), indicating the possibility of using LWB for the genetic improvement of NBA.     

Effect of candidate gene polymorphisms on reproductive traits in a Large White pig population

The objective of this study was to test for association of candidate single nucleotide polymorphisms (SNPs) with sow prolificacy reproductive traits, such as litter size, ovulation rate and lifetime performance, in gilts of a Large White pig population. Preliminary research on 25 animals selected from the high‐ and low‐performance groups of 347 animals with case‐control studies indicated that seven genes were associated with total number of piglets born (TNB). Six of the seven genes were associated with reproductive traits, including TNB, number of piglets born alive (NBA) and average weight of piglet weaning (AWW). A MBL2 SNP was significantly associated with TNB and NBA in first parity. A CFB SNP was associated with TNB in first parity. An ACE SNP was associated with TNB in first and second parities. An EGF polymorphism was associated with TNB, NBA and AWW in second parity. A KCNC2 polymorphism was significantly associated with TNB and NBA in second parity. A SLC22A5 SNP was associated with TNB and NBA in second parity. Six candidate SNPs were associated with TNB; the only exception was a PRKAG3 polymorphism. A candidate gene approach enables some of these polymorphisms to be used in genetic improvement programs based on marker‐assisted selection.     

A genomewide association study in divergently selected lines in rabbits reveals novel genomic regions associated with litter size traits

Uterine capacity (UC), defined as the total number of kits from unilaterally ovariectomized does at birth, has a high genetic correlation with litter size. The aim of our research was to identify genomic regions associated with litter size traits through a genomewide association study using rabbits from a divergent selection experiment for UC. A high-density SNP array (200K) was used to genotype 181 does from a control population, high and low UC lines. Traits included total number born (TNB), number born alive (NBA), number born dead, ovulation rate (OR), implanted embryos (IE) and embryo, foetal and prenatal survivals at second parity. We implemented the Bayes B method and the associations were tested by Bayes factors and the percentage of genomic variance (GV) explained by windows. Different genomic regions associated with TNB, NBA, IE and OR were found. These regions explained 7.36%, 1.27%, 15.87% and 3.95% of GV, respectively. Two consecutive windows on chromosome 17 were associated with TNB, NBA and IE. This genomic region accounted for 6.32% of GV of TNB. In this region, we found the BMP4, PTDGR, PTGER2, STYX and CDKN3 candidate genes which presented functional annotations linked to some reproductive processes. Our findings suggest that a genomic region on chromosome 17 has an important effect on litter size traits. However, further analyses are needed to validate this region in other maternal rabbit lines.     

应用动物模型REML法估计金华猪繁殖性状遗传参数

试验资料取自金华猪场 1 979～1 999年金华猪繁殖性能的生产记录。采用动物模型约束性最大似然法 (REML)对该猪群的遗传参数进行估计 ,测定 1 1 4 4头纯繁金华母猪的产仔哺育记录。结果表明 ,产仔数 (TNB)、产活仔数 (NBA)、初生重 (PBW)、初生窝重 (LBW)、 2 0日龄头数(NFC)、 2 0日龄窝重 (LWFC)、 2 0日龄重 (PWFC)、 60日龄头数 (NW)、 60日龄窝重 (LWW)、 60日龄重 (PWW)、乳头数 (TN)的遗传力分别为0 1 2± 0 0 9、 0 1 8± 0 1 1、 0 1 5± 0 0 9、 0 0 2± 0 0 9、 0 1 0± 0 1 1、 0 0 8± 0 1 3、 0 1 8± 0 1 0、 0 2 3± 0 1 1、 0 31± 0 1 3、 0 35± 0 1 1和 0 1 9± 0 1 0。TNB与NBA、LBW、NW、LWW的遗传相关范围为 0 66～ 0 88,TNB与PBW的遗传相关为 - 0 43。NBA与LBW、NW、LWW的遗传相关范围为 0 60～ 0 64,NBA与PBW遗传相关为 - 0 63。PBW与PWW的遗传相关为 0 51。     

红眼白水貂FSHβ和NCOA1基因多态性及其与繁殖性状的相关分析

本研究旨在检测红眼白水貂促卵泡激素β（follicle-stimulating hormone beta subunit,FSHβ）和核受体辅激活蛋白1（nuclear receptor coactivator 1,NCOA1）基因多态性与繁殖性状的关系。采用单链构象多态性（SSCP）和DNA测序相结合的方法检测了红眼白水貂215个个体的单核苷酸多态性,针对红眼白水貂群体的特点建立合适的统计分析模型,利用SAS 9.4统计软件对候选基因进行多态性分析,并采用最小二乘法分析了总产仔数和产活仔数的遗传效应。结果表明,在红眼白水貂FSHβ基因上存在2个多态位点,分别为内含子1处的g.1228G > A突变和外显子2处的g.1866T > C突变;在NCOA1基因上存在1个多态位点,为第6外显子处g.151536T > C突变。在红眼白水貂群体中,FSHβ基因的优势基因为B等位基因,NCOA1基因的优势基因为A等位基因;FSHβ基因g.1228G > A位点的AA和AB基因型个体在总产仔数、产活仔数上均极显著高于BB基因型（P < 0.01）,g.1866T > C位点在总产仔数和产活仔数上呈现BB > AB > AA的趋势;NCOA1基因的AB基因型个体的总产仔数和产活仔数均极显著高于AA基因型（P < 0.01）;g.151536T > C与g.1228G > A的合并基因型对繁殖性状有显著影响（P < 0.05）。因此,可以利用以上突变位点对红眼白水貂的繁殖性状进行标记辅助选择研究。     

大白猪和长白猪EPOR基因第4内含子多态性与繁殖性状的关联分析

本研究以大白猪和长白猪为研究对象,以促红细胞生成素受体（erythropoietin receptor,EPOR）基因作为产仔性状的候选基因,采用PCR-SSCP方法来检测EPOR基因第4内含子C＼T突变多态性,研究此位点多态性与猪繁殖性状之间的关联性。结果发现,在长白猪和大白猪中存在AA、AB和BB共3种基因型,在2个群体中处于中度多态。利用SAS 8.0软件采用最小二乘法拟合线性模型,将不同基因型与总产仔数（TNB）、产活仔数（NBA）和初生重（WB）进行了关联分析,结果表明,长白猪初产母猪BB基因型个体的WB显著高于AB、AA基因型个体（P＜0.05）;经产母猪BB基因型个体的TNB显著高于AB基因型个体（P＜0.05）;B等位基因对初产母猪TNB、NBA和WB均表现为正效应。大白猪初产母猪BB基因型个体的TNB、NBA和WB都高于AA型和AB型个体,但差异均不显著（P＞0.05）;经产母猪AB基因型个体的WB显著高于AA基因型个体（P＜0.05）;B等位基因对初产母猪TNB、NBA和WB都表现为正效应。     

Genetic Parameter Estimation and Affecting Factor Analysis of Reproduction Traits in Large White Sow

In this study,7 945 litter records from 2 904 Large White sows were used to determine the effect of parity,mating season and the classified gestation length on total number born (TNB),number born alive (NBA),number healthy birth (NHB),number weak birth (NWB),deform fetus,number born dead (NBD),mummy fetus and stillbirth. Genetic parameters and genetic correlation of the above reproduction traits were estimated by restricted maximum likelihood (REML) procedure.The results indicated that the parity had non-significant effect on deform fetus (P=0.2619) and mummy fetus (P=0.4639),but had significant effect on other 7 reproduction traits (P <0.01).The effect of mating season on gestation length,NBA,NWB,mummy fetus,NBD and NHB were highly significant (P <0.01),while mating season effect on deform fetus was not significant (P=0.3993).Moreover,the effect of mating season on TNB and stillbirth were significant (P <0.05).Effect of different gestation length classification was significant on mummy fetus (P <0.05),and was highly significant on the other 7 traits (P <0.01).The gestation length got the highest heritability,at 0.34,while others below 0.2 as low heritability traits.There was a negative genetic correlation (r_g=-0.10) between gestation length and TNB,while a strong positive genetic correlation exists among TNB,NBA and NHB (r_g >0.80).The genetic correlation between gestation length and other reproductive traits was low,the highest one appears between gestation length and deform fetus reached -0.17.We concluded that the gestation length was medium heritability trait,it was influenced not only by environment factors (such as parity,mating season) but also reproductive traits like TNB,and gestation length could be used as an indirect indicator in pig production.     

大白猪繁殖性状遗传参数估计及影响因素的效应分析

本研究对7 945窝大白母猪妊娠周期、总产仔数、产活仔数、健仔数、弱仔数、畸形数、死仔数、木乃伊及死胎数9个繁殖性状进行了最小二乘分析,分析了胎次、配种季节及妊娠周期分类对母猪繁殖性能的影响;并利用动物模型REML(约束最大似然)方法估计动物繁殖性状的遗传力及性状之间的遗传相关.结果表明,胎次对畸形数(P=0.2619)和木乃伊(P=0.4639)影响不显著(P >0.05),对其他7个繁殖性状影响极显著(P <0.01);配种季节对妊娠周期、产活仔数、弱仔数、木乃伊、死仔数及健仔数影响极显著(P <0.01),对畸形数(P=0.3993)影响不显著(P> 0.05),对总产仔数和死胎数影响显著(P <0.05).妊娠周期对木乃伊影响显著(P <0.05),对其他7个性状影响极显著(P <0.01).妊娠周期遗传力最高,为0.34,其他繁殖性状遗传力都低于0.2,为低遗传力性状.总产仔数与妊娠周期之间存在负遗传相关(r_g=-0.10),与产活仔数及健仔数之间存在较强的正遗传相关,遗传相关都超过0.80.妊娠周期与其他繁殖性状之间的遗传相关较小,最高的为妊娠周期与畸形数之间的遗传相关为-0.17.由此得出结论,妊娠周期属于中等遗传力性状,妊娠周期不仅受到胎次、季节等环境因素的影响,而且也受总产仔数等繁殖性状的影响,妊娠周期可作为养猪生产的间接指标.     

大白猪和长白猪EPOR基因第4内含子多态性与繁殖性状的关联分析

本研究以大白猪和长白猪为研究对象,以促红细胞生成素受体(erythropoietin receptor,EPOR)基因作为产仔性状的候选基因,采用PCR-SSCP方法来检测EPOR基因第4内含子C\T突变多态性,研究此位点多态性与猪繁殖性状之间的关联性。结果发现,在长白猪和大白猪中存在AA、AB和BB共3种基因型,在2个群体中处于中度多态。利用SAS 8.0软件采用最小二乘法拟合线性模型,将不同基因型与总产仔数(TNB)、产活仔数(NBA)和初生重(WB)进行了关联分析,结果表明,长白猪初产母猪BB基因型个体的WB显著高于AB、AA基因型个体(P<0.05);经产母猪BB基因型个体的TNB显著高于AB基因型个体(P<0.05);B等位基因对初产母猪TNB、NBA和WB均表现为正效应。大白猪初产母猪BB基因型个体的TNB、NBA和WB都高于AA型和AB型个体,但差异均不显著(P>0.05);经产母猪AB基因型个体的WB显著高于AA基因型个体(P<0.05);B等位基因对初产母猪TNB、NBA和WB都表现为正效应。     

Selection potential of different prolificacy traits in the finnish landrace and large white populations

Heritabilities and genetic correlations for different prolificacy traits were estimated to assess possibilities of selection for high number of piglets weaned. Three litter-size traits: total number of piglets born (TNB), number of piglets born alive (NBA), number of piglets weaned (NW); four piglet survival traits: number of stillborn piglets (NSB), percent of stillborn piglets (NSB%), piglet mortality between birth and weaning (PM), percent of dead piglets during suckling (PM%); and three traits measuring time intervals: age at first farrowing (AFF), first farrowing interval (FFI), and gestation length (GL) were analysed. The Finnish national litter recording scheme provided data on the first parity litters of 11 329 Landrace and 8 362 Large White pigs born between 1986 and 2000. The heritabilitiy estimates were moderate for AFF and GL (0.24–0.37), and low for all the other traits (0.03–0.11). The genetic correlations between TNB and PM (0.68 in Landrace and 0.43 in Large White) and between NBA and PM (0.64 in Landrace and 0.31 in Large White) suggest that selection only for high TNB or NBA will lead to increased PM. The results showed further that GL will increase indirectly if the selection pressure is for low PM (r _g =?0.050 in Landrace and ?0.43 in Large White.     

应用BLUP方法对猪繁殖性状和生长性状遗传评估的研究

【目的】估计杜洛克猪(Duroc,DD)、长白猪(Landrace,LL)、大白猪(Yorkshire,YY)繁殖性状和生长性状的遗传参数,分析不同年份育种值变化的遗传趋势,为制定合理的育种方案提供理论依据。【方法】以杜洛克猪、长白猪、大白猪繁殖性状和生长性状的性能测定数据为研究材料,其中繁殖性状数据10 963条,包括总产仔数(total number born,TNB)、产活仔数(number born alive,NBA)、出生窝重(litter born weight,LBW)和21日龄窝重(litter weight at 21 days,LW21);生长性状数据25 257条,包括达100 kg体重日龄(age at 100 kg live weight,AGE)和达100 kg体重背膘厚(backfat adjusted to 100 kg,BF)。采用基于动物模型的最佳线性无偏预测(best linear unbiased prediction,BLUP)方法,使用ASReml统计分析软件进行遗传力、遗传相关和育种值估计。【结果】TNB、NBA和LBW的遗传力在0.08~0.20之间,LW21的遗传力在0.02~0.05之间;AGE和BF的遗传力在0.22~0.37之间。繁殖性状TNB、NBA、LBW、LW21的遗传相关系数总体分布在0.20~0.97之间,呈中等偏上正相关;生长性状AGE和BF的遗传相关系数分布在-0.07~-0.03之间,呈微弱的负相关。杜洛克猪繁殖性状的遗传趋势上升幅度较大,长白猪、大白猪繁殖性状的遗传趋势上升幅度较小;生长性状中AGE的遗传趋势均呈下降趋势,且下降幅度较大,BF的遗传趋势变化幅度较小。【结论】本研究对杜洛克猪、长白猪、大白猪繁殖性状和生长性状的遗传参数和遗产趋势进行了准确的评估,结果可为该育种场的育种工作提供参考。     

梅山猪Mx1基因第14外显子多态性及其与繁殖性能的关联分析

为了探讨梅山猪Mx1基因第14外显子的多态性及其对梅山猪繁殖性能的影响,本研究采用PCR-RFLP方法对所采个体Mx1基因第14外显子进行DNA扩增并检测其多态性,同时利用广义线性模型(GLM)分析不同基因型与繁殖性能间的关系。PCR-RFLP结果表明,梅山猪Mx1基因第14外显子Hin6Ⅰ酶切位点存在G36T突变,共检测到2种等位基因,分别定义为:A、B,其中B基因为优势等位基因;共检测到3种基因型,分别定义为:AA、AB、BB,其中BB基因型为优势基因型;关联分析结果表明,在初产母猪中,总产仔数(TNB)、产活仔数(NBA)、断奶仔猪数(LBW)、初生重(BW)及断奶重(WW)这5个繁殖性状在Mx1基因的3种基因型中的差异均存在BB >AB >AA的趋势,BB基因型为有利基因型;且在总产仔数、产活仔数、断奶仔猪数和断奶重中表现出显著差异性(P<0.05);但在经产母猪中均没有显著差异(P>0.05)。本研究结果提示,Mx1基因第14外显子多态性对梅山猪初产母猪的繁殖性能有显著的遗传效应,而对经产母猪的繁殖性能没有显著的影响。     

Polymorphism of Mx1 Gene Exon 14 and its Relationship with Reproductive Performance in Meishan Pigs

To analyze the effect of different genotypes in Mx1 gene exon 14 on the reproductive performance in Meishan pigs,PCR-RFLP method was used to amplify DNA and detect the polymorphisms of Mx1 gene exon 14, and the relationship between different genotypes and the reproductive performance was further analyzed by generalized linear model (GLM) in this study.The results of PCR-RFLP showed that there was a G36T mutation on Hin6 Ⅰ restriction site in Mx1 gene exon 14 and three genotypes were detected named as AA,AB and BB,in which BB was a dominant genotype.The results of correlation analysis showed that the reproductive performance of three genotypes in Mx1 gene presented the increasing tendency of BB >AB >AA in total number born (TNB),number born alive (NBA),little size at weaning (LBW),birth weight (BW) and weaning weight (WW) in gilts sows on the whole.Moreover,there was significant difference in TNB,NBA,LBW and WW in gilts sows (P< 0.05).However,there was no significant difference among all reproductive performance in multiparous sows (P >0.05).The results of this study indicated that the polymorphisms of Mx1 gene exon 14 had significantly genetic effects on production performance in Meishan gilts sows instead of multiparous sows.     

撒坝猪专门化母系繁殖性状的相关与通径分析

利用撒坝猪专门化母系 7个世代共 576头母猪的繁殖性能数据 ,对总产仔数 (x1 )、活产仔数 (x2 )、初生窝重 (x3)、 2 0日龄窝重 (x4 )、断奶窝重 (x5)、育成率 (x6 )和断奶仔数 (y) 7个繁殖性状进行了相关和通径分析 ,并在此基础上建立了估计断奶仔数的最优回归方程。结果表明 ,撒坝猪专门化母系的繁殖性能在经过 7个世代的选育后 ,获得了明显提高。各繁殖性状间在表型值上都存在不同程度的相关 ,其中以总产仔数与活产仔数的相关程度最高 (r=0 92 0 1 ) ,其次为 2 0日龄窝重与断奶仔数 (r=0 82 88) ,而初生窝重与育成率间的相关系数最低 (r=0 0 381 )。在所分析的 7个性状中 ,除了总产仔数和活产仔数与育成率间为负相关外 ,其余性状间均为正相关。所建立的估计断奶仔数的多元回归方程为 :y=- 6 1 1 90 +0 6986x2 +0 0 33 7x4 +0 0 0 4 8x5+0 0 71 8x6 。     

陆川猪和大白猪LEPR基因对产仔数的效应分析

为了比较LEPR基因对猪产仔数效应大小,采用PCR-SSCP技术在陆川猪和大白猪群中进行了LEPR基因的基因型频率检测及不同基因型的总产仔数和产活仔数效应分析。结果表明,LEPR基因对陆川猪头胎和头4胎平均总产仔数（TNB）及产活仔数（NBA）影响差异显著(P<0.05),对大白猪头胎的总产仔数及产活仔数影响差异显著(P<0.05),而对大白猪头4胎平均总产仔数及产活仔数影响差异不显著(P>0.05)。