【目的】揭示基于动物模型最佳线性无偏预测(animal model best linear unbiased prediction,AM-BLUP)的选择指数对杜洛克猪生长及繁殖性状的选育效果。【方法】在采用AM-BLUP方法估计个体目标性状育种值基础上,以达100 kg体质量日龄(...【目的】揭示基于动物模型最佳线性无偏预测(animal model best linear unbiased prediction,AM-BLUP)的选择指数对杜洛克猪生长及繁殖性状的选育效果。【方法】在采用AM-BLUP方法估计个体目标性状育种值基础上,以达100 kg体质量日龄(相对权重0.7)和100 kg活体背膘厚(相对权重0.3)为主选性状构建选择指数,对1个闭锁的杜洛克猪群开展持续7年(2013—2019年)的选育,系统分析选育期间猪群6个生长及繁殖性状表型值、估计育种值(estimated breeding value,EBV)、选择指数及近交系数的变化。【结果】相较于2013年,2019年猪群达100 kg体质量日龄、100 kg活体背膘厚和30~100 kg料重比分别极显著缩短4.45 d、降低0.52 mm和降低0.05(P<0.01);初产和经产母猪的总产仔数分别提高0.99头(P<0.05)和1.02头(P>0.05),产活仔数分别提高0.72头和0.49头(P>0.05),21日龄窝重分别降低0.39 kg和提高6.20 kg(P>0.05);主选性状达100 kg体质量日龄和100 kg活体背膘厚的EBV分别极显著降低3.447和0.533(P<0.01),选择指数极显著提高23.62(P<0.01),除30~100 kg料重比外,其余辅选性状的EBV均获得了不同程度改进。选育结束时,群体平均近交系数为3.1973%,年均增量为0.4904%。【结论】基于AM-BLUP的指数选择可有效改良猪的生产性状,但不同性状的具体选择进展会因其遗传特性的不同而异。展开更多
【目的】为提高豫农黑猪体尺性状遗传参数估计的准确性,加快豫农黑猪选育进展。【方法】利用最佳线性无偏预测(best linear unbiased prediction,BLUP)和基因组最佳线性无偏预测(genomic best linear unbiased prediction,GBLUP)2种方法...【目的】为提高豫农黑猪体尺性状遗传参数估计的准确性,加快豫农黑猪选育进展。【方法】利用最佳线性无偏预测(best linear unbiased prediction,BLUP)和基因组最佳线性无偏预测(genomic best linear unbiased prediction,GBLUP)2种方法,构建3个单性状动物模型,即基于BLUP的模型1、基于GBLUP的模型2以及基于包含基因组近交系数GBLUP的模型3,采用平均信息约束性最大似然算法(average information restricted maximum likelihood,AIREML)对702头豫农黑猪体尺性状的遗传参数进行估计。【结果】在遗传参数估计的准确性方面,模型1估计的准确性低于模型2和3;模型3和模型2相比,提高了胸围、腿臀围和眼肌深度性状遗传参数估计的准确性。模型3估计体高、腿臀围、背膘厚和眼肌深度的遗传力为0.566、0.302、0.467和0.652,属于高遗传力性状;体长、胸围和管围的遗传力为0.152、0.122和0.255,属于中遗传力性状。体尺性状间的表型相关系数为-0.009~0.576,遗传相关系数为-0.108~0.985。【结论】在估计豫农黑猪体尺性状遗传参数时,采用近交系数的GBLUP模型可以提高遗传评估的准确性,本研究结果为生产实践中加快遗传进展提供了科学依据。展开更多
To dissect the genetic mechanism of multi-seed pod in peanut, we explored the QTL/gene controlling multi-seed pod and analyzed the interaction effect of QTL and environment. Two hundred and forty eight recombinant inb...To dissect the genetic mechanism of multi-seed pod in peanut, we explored the QTL/gene controlling multi-seed pod and analyzed the interaction effect of QTL and environment. Two hundred and forty eight recombinant inbred lines(RIL) from cross Silihong × Jinonghei 3 were used as experimental materials planted in 8 environments from 2012 to 2017. Three methods of analysis were performed. These included individual environment analysis, joint analysis in multiple environments, and epistatic interaction analysis for multi-seed pod QTL. Phenotypic data and best linear unbiased prediction(BLUP) value of the ratio of multi-seed pods per plant(RMSP) were used for QTL mapping. Seven QTL detected by the individual environmental mapping analysis and were distributed on linkage groups 1, 6, 9, 14, 19(2), and 21. Each QTL explained 4.42%–11.51% of the phenotypic variation in multi-seed pod, and synergistic alleles of5 QTL were from the Silihong parent. One QTL, explaining 4.93% of the phenotypic variation was detected using BLUP data, and this QTL mapped in the same interval as q RMSP19.1 detected in the individual environment analysis. Seventeen additive QTL were identified by joint analysis across multiple environments. A total of 43 epistatic QTL were detected by ICIM-EPI mapping in the multiple environment trials(MET) module, and involved 57 loci. Two main-effect QTL related to multi-seed pod in peanut were filtered. We also found that RMSP had a highly significant positive correlation with pod yield per plant(PY), and epistatic effects were much more important than additive effects. These results provide theoretical guidance for the genetic improvement of germplasm resources and further fine mapping of related genes in peanut.展开更多
Initial flowering date(IFD)is closely related to mature period of peanut pods.In present study,a population of recombinant inbred lines(RIL)derived from the cross between Silihong(female parent)and Jinonghei 3(male pa...Initial flowering date(IFD)is closely related to mature period of peanut pods.In present study,a population of recombinant inbred lines(RIL)derived from the cross between Silihong(female parent)and Jinonghei 3(male parent)was used to map QTLs associated with IFD.The RIL population and its two parental cultivars were planted in two locations of Hebei Province,China from 2015 to 2018(eight environments).Based on a high-density genetic linkage map(including 2996 SNP and 330 SSR markers)previously constructed in our laboratory,QTLs were analyzed using phenotypic data and the best linear unbiased prediction(BLUP)value of initial flowering date by inclusive composite interval mapping(ICIM)method.Interaction effects between every two QTLs and between individual QTL and environment were also analyzed.In cultivated peanut,IFD was affected by genotypic factor and environments simultaneously,and its broad sense heritability(h2)was estimated as 86.8%。Using the IFD phenotypic data from the eight environments,a total of 19 QTLs for IFD were detected,and the phenotypic variation explained(PVE)by each QTL ranged from 1.15 to 21.82%.Especially,five of them were also detected by the BLUP value of IFD.In addition,12 additive QTLs and 35 pairs of epistatic QTLs(62 loci involved)were identifed by the joint analysis of IFD across eight environments.Three QTLs(qIFDB04.1,qIFDB07.1 and qIFDB08.1)located on chromosome B04,B07 and B08 were identified as main-effect QTL for IFD,which had the most potential to be used in peanut breeding.This study would be helpful for the early-maturity and adaptability breeding in cultivated peanut.展开更多
文摘【目的】为提高豫农黑猪体尺性状遗传参数估计的准确性,加快豫农黑猪选育进展。【方法】利用最佳线性无偏预测(best linear unbiased prediction,BLUP)和基因组最佳线性无偏预测(genomic best linear unbiased prediction,GBLUP)2种方法,构建3个单性状动物模型,即基于BLUP的模型1、基于GBLUP的模型2以及基于包含基因组近交系数GBLUP的模型3,采用平均信息约束性最大似然算法(average information restricted maximum likelihood,AIREML)对702头豫农黑猪体尺性状的遗传参数进行估计。【结果】在遗传参数估计的准确性方面,模型1估计的准确性低于模型2和3;模型3和模型2相比,提高了胸围、腿臀围和眼肌深度性状遗传参数估计的准确性。模型3估计体高、腿臀围、背膘厚和眼肌深度的遗传力为0.566、0.302、0.467和0.652,属于高遗传力性状;体长、胸围和管围的遗传力为0.152、0.122和0.255,属于中遗传力性状。体尺性状间的表型相关系数为-0.009~0.576,遗传相关系数为-0.108~0.985。【结论】在估计豫农黑猪体尺性状遗传参数时,采用近交系数的GBLUP模型可以提高遗传评估的准确性,本研究结果为生产实践中加快遗传进展提供了科学依据。
基金supported by the China Agriculture Research System(CARS-13)the National Natural Science Foundation of China(31771833)+1 种基金the Hebei Province Science and Technology Support Program(16226301D)Key Projects of Science and Technology Research in Higher Education Institution of Hebei province(ZD2015056)
文摘To dissect the genetic mechanism of multi-seed pod in peanut, we explored the QTL/gene controlling multi-seed pod and analyzed the interaction effect of QTL and environment. Two hundred and forty eight recombinant inbred lines(RIL) from cross Silihong × Jinonghei 3 were used as experimental materials planted in 8 environments from 2012 to 2017. Three methods of analysis were performed. These included individual environment analysis, joint analysis in multiple environments, and epistatic interaction analysis for multi-seed pod QTL. Phenotypic data and best linear unbiased prediction(BLUP) value of the ratio of multi-seed pods per plant(RMSP) were used for QTL mapping. Seven QTL detected by the individual environmental mapping analysis and were distributed on linkage groups 1, 6, 9, 14, 19(2), and 21. Each QTL explained 4.42%–11.51% of the phenotypic variation in multi-seed pod, and synergistic alleles of5 QTL were from the Silihong parent. One QTL, explaining 4.93% of the phenotypic variation was detected using BLUP data, and this QTL mapped in the same interval as q RMSP19.1 detected in the individual environment analysis. Seventeen additive QTL were identified by joint analysis across multiple environments. A total of 43 epistatic QTL were detected by ICIM-EPI mapping in the multiple environment trials(MET) module, and involved 57 loci. Two main-effect QTL related to multi-seed pod in peanut were filtered. We also found that RMSP had a highly significant positive correlation with pod yield per plant(PY), and epistatic effects were much more important than additive effects. These results provide theoretical guidance for the genetic improvement of germplasm resources and further fine mapping of related genes in peanut.
基金Supported by the earmarked fund for China Agriculture Research System(CARS-13)the National Natural Science Foundatlon of China(31771833)+1 种基金the Science and Technology Supporting Plan Project of Hebei Province,China(16226301D)the Key Projects of Science and Technology Research in Higher Education Institution of Hebei Province,China(ZD2015056).
文摘Initial flowering date(IFD)is closely related to mature period of peanut pods.In present study,a population of recombinant inbred lines(RIL)derived from the cross between Silihong(female parent)and Jinonghei 3(male parent)was used to map QTLs associated with IFD.The RIL population and its two parental cultivars were planted in two locations of Hebei Province,China from 2015 to 2018(eight environments).Based on a high-density genetic linkage map(including 2996 SNP and 330 SSR markers)previously constructed in our laboratory,QTLs were analyzed using phenotypic data and the best linear unbiased prediction(BLUP)value of initial flowering date by inclusive composite interval mapping(ICIM)method.Interaction effects between every two QTLs and between individual QTL and environment were also analyzed.In cultivated peanut,IFD was affected by genotypic factor and environments simultaneously,and its broad sense heritability(h2)was estimated as 86.8%。Using the IFD phenotypic data from the eight environments,a total of 19 QTLs for IFD were detected,and the phenotypic variation explained(PVE)by each QTL ranged from 1.15 to 21.82%.Especially,five of them were also detected by the BLUP value of IFD.In addition,12 additive QTLs and 35 pairs of epistatic QTLs(62 loci involved)were identifed by the joint analysis of IFD across eight environments.Three QTLs(qIFDB04.1,qIFDB07.1 and qIFDB08.1)located on chromosome B04,B07 and B08 were identified as main-effect QTL for IFD,which had the most potential to be used in peanut breeding.This study would be helpful for the early-maturity and adaptability breeding in cultivated peanut.
基金supported by the National Natural Science Foundation of China(11326066)the Doctoral Program of Shandong Province(BS2013SF011)+1 种基金the Shandong Province Higher Education Science and Technology Program(J14LI01)the Key Project of Scientific Research Innovation Foundation of Shanghai Municipal Education Commission(13ZZ080)
