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燕麦分子育种研究进展 总被引：1，自引：0，他引：1
燕麦是一种主要生长在温带冷凉地区的粮饲兼用作物,近年来燕麦的营养价值和降低胆固醇特性的发现使人们认识到燕麦及其制品是一种健康食品,促进了燕麦产业发展,对燕麦品种培育提出了更高要求。在此背景下,现代生物技术与常规育种技术结合是满足这一需求的重要途经。本文综述了国内外燕麦分子育种方面的研究进展:(1)我国燕麦种质资源的收集与遗传多样性研究。我国的燕麦种质资源收集工作起始于20世纪50年代,迄今收集并保存了5282份燕麦种质资源。对这些资源的遗传多样性分析研究表明,国内的燕麦种质资源中内蒙古和山西的资源多样性最高;(2)利用各种分子标记构建燕麦遗传连锁图谱研究;(3)一些重要农艺性状的QTL定位研究以及全基因组关联分析研究。包括产量、含油量、β-葡聚糖含量、蛋白质含量、抽穗期、抗病基因、抗冻性等重要农艺性状;(4)标记辅助基因组选择技术在燕麦中的应用;(5)燕麦遗传工程育种研究进展。同时,本文将国内的主要研究进展与国外相关的最新研究成果进行了比较,并对当前分子育种中存在的问题及今后的研究方向进行了探讨,希望能为今后通过生物技术手段培育燕麦新品种提供一定的参考。 相似文献
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燕麦(Avenasativa)是粮饲兼用的一年生禾本科燕麦属植物。燕麦的营养价值和优良牧草品质使其市场需求量逐年增加,这对燕麦新品种的创新培育提出了新要求。分子育种精准且高效,是燕麦育种技术革新的必由之路。而基因组学研究是燕麦重要农艺性状解析、优异种质资源精准利用和分子设计育种的重要基础。该文重点从国内外燕麦种质资源搜集整理情况、燕麦属基因组构成和染色体倍性,以及燕麦遗传连锁图谱构建、基因组测序和分子育种方面对燕麦基因组学与分子育种研究进行综述,并对后基因组时代相关研究的发展趋势进行了展望。 相似文献
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花卉分子育种研究进展 总被引：18，自引：0，他引：18
本文综述了近年来国内外花卉分子育种的研究进展和成果。传统育种仍是花卉育种工作的主要方法,但有其局限性。不断成熟的生物技术,特别是基因工程技术,解决了一些传统育种不能突破的问题,为花卉性状态改良提供了全新的思路。近年来,分子育种一直是花卉育种研究的热点,已在植物花期、花色、花型、株型、生长发育、香味、采后寿命等方面取得了重要进展。花卉育种事业前程似程。 相似文献
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花卉分子育种研究进展 总被引：4，自引：0，他引：4
本文综述了近年来国内外花卉分子育种的研究进展和成果。传统育种仍是花卉育种工作的主要方法 ,但有其局限性。不断成熟的生物技术 ,特别是基因工程技术 ,解决了一些传统育种不能突破的问题 ,为花卉性状改良提供了全新的思路。近年来 ,分子育种一直是花卉育种研究的热点 ,已在植物花期、花色、花型、株型、生长发育、香味、采后寿命等方面取得了重要进展。花卉育种事业前程似程。 相似文献
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台湾大学农学院农艺学系林顺福先生利用分子标记选拔优良品质的粳稻品种。他以台农 6 9号稻种与越光品种稻杂交后代 16 0个品系为材料 ,分析其与食性有关的性状结果发现食味总评与食味计值和调查特性总计之间有极显著的相关关系 ,且食味总评与外观、香味、口味、粘弹性和硬性等 相似文献
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介绍花卉分子育种的研究概况和分子育种的操作策略。进一步强调在我国应用和发展花卉分子育种方法的必要性。 相似文献
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肌肉生长抑制素（myostatin,MSTN）基因主要在骨骼肌中表达,参与调控骨骼肌的生长发育。MSTN基因在不同物种中具有极强的进化保守性,同时还具有较多的突变多态性。在牛的不同品种中,存在不同位点的有义突变,突变型牛均表现为骨骼肌发达,呈现双肌表型,生长速度与产肉率显著提高。同时,该基因突变也引起显著的生理性遗传效应。对国内外肉牛的MSTN基因突变类型、突变后遗传效应及在肉牛育种应用等方面作了重点阐述,以期为我国地方品种肉牛改良和选育研究提供参考。 相似文献
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Amer PR Nieuwhof GJ Pollott GE Roughsedge T Conington J Simm G 《Animal : an international journal of animal bioscience》2007,1(10):1414-1426
An analytical model that evaluates the benefits from 10 years of genetic improvement over a 20-year time frame was specified. Estimates of recent genetic trends in recorded traits, industry statistics and published estimates of the economic values of trait changes were used to parameterise the model for the UK sheep and beef industries. Despite rates of genetic change in the relevant performance-recorded breeding populations being substantially less than theoretical predictions, the financial benefits of genetic change were substantial. Over 20 years, the benefits from 10 years of genetic progress at recently achieved rates in recorded hill sheep, sheep crossing sire and sheep terminal sire breeding programmes was estimated to be ￡5.3, ￡1.0 and ￡11.5 million, respectively. If dissemination of genetic material is such that these rates of change are also realised across the entire ram breeding industry, the combined benefits would be ￡110.8 million. For beef cattle, genetic evaluation systems have been operating within all the major breeds for some years with quite widespread use of performance recording, and so genetic trends within the beef breeds were used as predictors of industry genetic change. Benefits from 10 years of genetic progress at recent rates of change, considering a 20-year time frame, in terminal sire beef breeds are expected to be ￡4.9 million. Benefits from genetic progress for growth and carcass characters in dual-purpose beef breeds were ￡18.2 million after subtraction of costs associated with a deterioration in calving traits. These benefits may be further offset by unfavourable associated changes in maternal traits. Additional benefits from identification and use of the best animals available from the breeding sector for commercial matings through performance recording and genetic evaluation could not be quantified. When benefits of genetic improvement were expressed on an annual present value basis and compared with lagged annual investment costs to achieve it, the internal rate of return (IRR) on the combined investment in sheep and beef cattle was 32%. Despite a much higher rate of participation in performance recording, the present value of benefits and the IRR were lower for beef cattle than for sheep. The implications of these results for future national and industry investment in genetic improvement infrastructure were discussed. 相似文献
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Records from 75,941 Nelore cattle were used to determine the importance of genotype by environment interaction (GEI) in five Brazilian states. (Co)variance components were estimated by single-trait analysis (with yearling weight, W450, considered to be the same trait in all states) and multiple-trait analysis (with the record from each state considered to be a different trait). The direct heritability estimates for yearling weight were 0.51, 0.39, 0.44, 0.37 and 0.41 in the states of Goiás, Mato Grosso, São Paulo, Mato Grosso do Sul and Minas Gerais, respectively. The across-state genetic correlation estimates between Goiás and Mato Grosso, Goiás and Minas Gerais, São Paulo and Minas Gerais, and Mato Grosso do Sul and Minas Gerais ranged from 0.67 to 0.75. These estimates indicate that GEIs are biologically important. No interactions were observed between Goiás and São Paulo, Goiás and Mato Grosso do Sul, Mato Grosso and São Paulo, Mato Grosso and Mato Grosso do Sul, Mato Grosso and Minas Gerais, or São Paulo and Mato Grosso do Sul (0.82 to 0.97). Comparison of single and multiple-trait analyses showed that selection based on the former was less efficient in the presence of GEI, with substantial losses (up to 10%) during selection. 相似文献
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Todd DL Woolliams JA Roughsedge T 《Animal : an international journal of animal bioscience》2011,5(12):1874-1886
Future progress in genetic improvement and the monitoring of genetic resources in beef cattle requires a detailed understanding of the population under selection. This study examines the gene flow in the UK beef population with an uncommon breeding structure involving interaction between the beef and dairy populations. British Cattle Movement Service records were used as the primary source of information, and these data were triangulated with UK government statistics, other industry information sources and existing literature to build up a profile of the UK beef industry. Estimates were made of the breed composition of suckler cows, breeding bulls and the prime slaughter population. Cross-bred animals made up 85% and 94%, respectively, of the commercial beef breeding cow and prime slaughter populations. Holstein/Friesian (through cross-breeding) made up the largest proportion of genes in both these populations with 33% and 28%, respectively. The next five most popular breeds were specialist beef breeds: Limousin (22% and 18%), Charolais (11% and 6%), Simmental (9% and 11%), Angus (7% and 8%) and Belgian Blue (6% and 6%). Combined, the top seven beef breeds accounted for 94% of beef genetics in the prime slaughter population, and 80% of this came from non-native breeds. The influence of dairy breeds in the commercial beef breeding population was highlighted by the fact that 44% of replacement commercial beef breeding females were sourced from beef-sired crosses in the dairy herd, and in total 74% of all maternal grand dams of prime slaughter animals were Holstein/Friesian. The use of selection index technology was also investigated by analysing breeding bull sale results, with the correlation between the terminal sire index and sale price of young breeding bulls being generally moderate but significant, ranging from 0.21 to 0.38 across the major beef breeds. The most influential source of genetics in the commercial suckler beef herd was natural service breeding bulls. These were mostly sourced from pedigree breeders, and accounted for 47.8% of the genetics in the prime beef population. Artificial insemination sires were responsible for 16.6% of prime beef genetics, with the remaining 35.6% coming from dairy breeds, 95% of which was Holstein/Friesian. 相似文献
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Javier Ca?ón Paolo Alexandrino Isabel Bessa Carlos Carleos Yolanda Carretero Susana Dunner Nuno Ferran David Garcia Jordi Jordana Denis Lalo? Albano Pereira Armand Sanchez Katayoun Moazami-Goudarzi 《遗传、选种与进化》2001,33(3):311-332
This study was undertaken to determine the genetic structure, evolutionary relationships, and the genetic diversity among 18 local cattle breeds from Spain, Portugal, and France using 16 microsatellites. Heterozygosities, estimates of Fst, genetic distances, multivariate and diversity analyses, and assignment tests were performed. Heterozygosities ranged from 0.54 in the Pirenaica breed to 0.72 in the Barrosã breed. Seven percent of the total genetic variability can be attributed to differences among breeds (mean Fst = 0.07; P < 0.01). Five different genetic distances were computed and compared with no correlation found to be significantly different from 0 between distances based on the effective size of the population and those which use the size of the alleles. The Weitzman recursive approach and a multivariate analysis were used to measure the contribution of the breeds diversity. The Weitzman approach suggests that the most important breeds to be preserved are those grouped into two clusters: the cluster formed by the Mirandesa and Alistana breeds and that of the Sayaguesa and Tudanca breeds. The hypothetical extinction of one of those clusters represents a 17% loss of diversity. A correspondence analysis not only distinguished four breed groups but also confirmed results of previous studies classifying the important breeds contributing to diversity. In addition, the variation between breeds was sufficiently high so as to allow individuals to be assigned to their breed of origin with a probability of 99% for simulated samples. 相似文献
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遗传图谱的发展为寻找和定位影响重要数量性状变异的基因提供了便利。迄今为止,育种学家已经在肉牛的1、2、5、6、14、15、17、18、19、21、23、27、和29号常染色体上发现了QTL的踪迹。候选基因的研分显示肌肉生长抑制素基因等可能就是生长和屠宰重性状的QTL,基困组统计定位则揭示最有可能的QTL区域在2、5、6、15、19、27、29号染色体上。进一步的定位仍需遗传学家、分子生物学家及育种学家的共同努力。 相似文献
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《Animal : an international journal of animal bioscience》2018,12(5):889-897
Genetic improvement in production efficiency traits can also drive reduction in greenhouse gas emissions. This study used international ‘best-practice’ methodology to quantify the improvements in system-wide CO2 equivalent emissions per unit of genetic progress in the Irish Maternal Replacement (MR) and Terminal (T) beef cattle indexes. Effects of each index trait on system gross emissions (GE) and system emissions intensity (EI) were modelled by estimating effects of trait changes on per-animal feed consumption and associated methane production, per-animal meat production and numbers of animals in the system. Trait responses to index selection were predicted from linear regression of individual bull estimated breeding values for each index trait on their MR or T index value, and the resulting regression coefficients were used to calculate trait-wise responses in GE and EI from index selection. Summed over all trait responses, the MR index was predicted to reduce system GE by 0.810 kg CO2e/breeding cow per year per € index and system EI by 0.009 kg CO2e/kg meat per breeding cow per year per € index. These reductions were mainly driven by improvements in cow survival, reduced mature cow maintenance feed requirements, shorter calving interval and reduced offspring mortality. The T index was predicted to reduce system EI by 0.021 kg CO2e/kg meat per breeding cow per year per € index, driven by increased meat production from improvements in carcass weight, conformation and fat. Implications for incorporating an EI reduction index to the current production indexes and long-term projections for national breeding programs are discussed. 相似文献
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《Animal : an international journal of animal bioscience》2014,8(3):388-394
In this study, an industry terminal breeding goal was used in a deterministic simulation, using selection index methodology, to predict genetic gain in a beef population modelled on the UK pedigree Limousin, when using genomic selection (GS) and incorporating phenotype information from novel commercial carcass traits. The effect of genotype–environment interaction was investigated by including the model variations of the genetic correlation between purebred and commercial cross-bred performance (ρX). Three genomic scenarios were considered: (1) genomic breeding values (GBV)+estimated breeding values (EBV) for existing selection traits; (2) GBV for three novel commercial carcass traits+EBV in existing traits; and (3) GBV for novel and existing traits plus EBV for existing traits. Each of the three scenarios was simulated for a range of training population (TP) sizes and with three values of ρX. Scenarios 2 and 3 predicted substantially higher percentage increases over current selection than Scenario 1. A TP of 2000 sires, each with 20 commercial progeny with carcass phenotypes, and assuming a ρX of 0.7, is predicted to increase gain by 40% over current selection in Scenario 3. The percentage increase in gain over current selection increased with decreasing ρX; however, the effect of varying ρX was reduced at high TP sizes for Scenarios 2 and 3. A further non-genomic scenario (4) was considered simulating a conventional population-wide progeny test using EBV only. With 20 commercial cross-bred progenies per sire, similar gain was predicted to Scenario 3 with TP=5000 and ρX=1.0. The range of increases in genetic gain predicted for terminal traits when using GS are of similar magnitude to those observed after the implementation of BLUP technology in the United Kingdom. It is concluded that implementation of GS in a terminal sire breeding goal, using purebred phenotypes alone, will be sub-optimal compared with the inclusion of novel commercial carcass phenotypes in genomic evaluations. 相似文献
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L. F. M. Mota G. A. Fernandes Jr A. C. Herrera D. C. B. Scalez R. Espigolan A. F. B. Magalhães R. Carvalheiro F. Baldi L. G. Albuquerque 《Animal genetics》2020,51(2):210-223
Brazilian beef cattle are raised predominantly on pasture in a wide range of environments. In this scenario, genotype by environment (G×E) interaction is an important source of phenotypic variation in the reproductive traits. Hence, the evaluation of G×E interactions for heifer’s early pregnancy (HP) and scrotal circumference (SC) traits in Nellore cattle, belonging to three breeding programs, was carried out to determine the animal’s sensitivity to the environmental conditions (EC). The dataset consisted of 85 874 records for HP and 151 553 records for SC, from which 1800 heifers and 3343 young bulls were genotyped with the BovineHD BeadChip. Genotypic information for 826 sires was also used in the analyses. EC levels were based on the contemporary group solutions for yearling body weight. Linear reaction norm models (RNM), using pedigree information (RNM_A) or pedigree and genomic information (RNM_H), were used to infer G×E interactions. Two validation schemes were used to assess the predictive ability, with the following training populations: (a) forward scheme—dataset was split based on year of birth from 2008 for HP and from 2011 for SC; and (b) environment-specific scheme—low EC (−3.0 and −1.5) and high EC (1.5 and 3.0). The inclusion of the H matrix in RNM increased the genetic variance of the intercept and slope by 18.55 and 23.00% on average respectively, and provided genetic parameter estimates that were more accurate than those considering pedigree only. The same trend was observed for heritability estimates, which were 0.28–0.56 for SC and 0.26–0.49 for HP, using RNM_H, and 0.26–0.52 for SC and 0.22–0.45 for HP, using RNM_A. The lowest correlation observed between unfavorable (−3.0) and favorable (3.0) EC levels were 0.30 for HP and −0.12 for SC, indicating the presence of G×E interaction. The G×E interaction effect implied differences in animals’ genetic merit and re-ranking of animals on different environmental conditions. SNP marker–environment interaction was detected for Nellore sexual precocity indicator traits with changes in effect and variance across EC levels. The RNM_H captured G×E interaction effects better than RNM_A and improved the predictive ability by around 14.04% for SC and 21.31% for HP. Using the forward scheme increased the overall predictive ability for SC (20.55%) and HP (11.06%) compared with the environment-specific scheme. The results suggest that the inclusion of genomic information combined with the pedigree to assess the G×E interaction leads to more accurate variance components and genetic parameter estimates. 相似文献
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Bouquet A Renand G Phocas F 《Animal : an international journal of animal bioscience》2011,5(3):337-346
In genetic evaluations, the definition of unknown parent groups (UPG) is usually based on time periods, selection path and flows of foreign founders. The definition of UPG may be more complex for populations presenting genetic heterogeneity due to both, large national expansion and coexistence of artificial insemination (AI) and natural service (NS). A UPG definition method accounting for beef bull flows was proposed and applied to the French Charolais cattle population. It assumed that, at a given time period, unknown parents belonged to the same UPG when their progeny were bred in herds that used bulls with similar origins (birth region and reproduction way). Thus, the birth period, region and AI rate of a herd were pointed out to be the three criteria reflecting genetic disparities at the national level in a beef cattle population. To deal with regional genetic disparities, 14 regions were identified using a factorial approach combining principal component analysis and Ward clustering. The selection nucleus of the French cattle population was dispersed over three main breeding areas. Flows of NS bulls were mainly carried out within each breeding area. On the contrary, the use and the selection of AI bulls were based on a national pool of candidates. Within a time period, herds of different regions were clustered together when they used bulls coming from the same origin and with an estimated difference of genetic level lower than 20% of genetic standard deviation (σg) for calf muscle and skeleton scores (SS) at weaning. This led to the definition of 16 UPG of sires, which were validated as robust and relevant in a sire model, meaning numerically stable and corresponding to distinct genetic subpopulations. The UPG genetic levels were estimated for muscle and SS under sire and animal models. Whatever the trait, differences between bull UPG estimates within a time period could reach 0.5 σg across regions. For a given time period, bull UPG estimates for muscle and SS were generally larger by 0.30 to 0.75 σg than those of cows. Including genetic groups in the evaluation model increased the estimated genetic trends by 20% to 30%. It also provoked re-ranking in favor of bulls and cows without pedigree. 相似文献