Dissertations / Theses on the topic 'Quantitative traits'
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Raska, Paola. "Co-morbidities as quantitative traits." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1275586082.
Full textPolineni, Pavana. "Developing a web accessible integrated database and visualization tool for bovine quantitative trait loci." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/2449.
Full textSomorjai, Ildikó M. L. "Quantitative trait loci for fitness traits in Arctic charr, conservation in rainbow trout and correlations among traits." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ61949.pdf.
Full textPodisi, Baitsi Kingsley. "Quantitative trait loci mapping of sexual maturity traits applied to chicken breeding." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5561.
Full textLu, Yue. "Genetic mapping of quantitative trait loci for slow-rusting traits in wheat." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32179.
Full textDepartment of Agronomy
Guihua Bai
Allan K. Fritz
Wheat leaf rust, caused by Puccinia triticina, is an important fungal disease worldwide. Growing resistant cultivars is an effective practice to reduce the losses caused by the disease, and using slow-rusting resistance genes can improve the durability of rust resistance in the cultivars. CI13227 is a winter wheat line that shows a high level of slow-rusting resistance to leaf rust and has been studied extensively. In this research, two recombinant inbreed line (RIL) populations derived from CI13227 x Suwon (104 RILs) and CI13227 x Everest (184 RILs) and one doubled haploid (DH) population derived from CI13227 x Lakin with 181 lines were used to identify quantitative trait loci (QTLs) for slow leaf rusting resistance. Each population and its parents were evaluated for slow-rusting traits in two greenhouse experiments. A selected set of 384 simple sequence repeat markers (SSRs), single nucleotide polymorphism markers (SNPs) derived from genotyping-by-sequencing (GBS-SNPs) or 90K-SNP chip (90K-SNPs) were analyzed in the three populations. Six QTLs for slow-rusting resistance, QLr.hwwgru-2DS, QLr.hwwgru-7BL, QLr.hwwgru-7AL, QLr.hwwgru-3B_1, QLr.hwwgru-3B_2, and QLr.hwwgru-1D were detected in the three populations with three stable QTLs, QLr.hwwgru-2DS, QLr.hwwgru-7BL and QLr.hwwgru-7AL. These were detected and validated by Kompetitive Allele-Specific PCR (KASP) markers converted from GBS-SNPs and 90K-SNPs in at least two populations. Another three QTLs were detected only in a single population, and either showed a minor effect or came from the susceptible parents. The KASP markers tightly linked to QLr.hwwgru-2DS (IWB34642, IWB8545 and GBS_snpj2228), QLr.hwwgru-7BL (GBS_snp1637 and IWB24039) and QLr.hwwgru-7AL (IWB73053 and IWB42182) are ready to be used in marker-assisted selection (MAS) to transfer these QTLs into wheat varieties to improve slow-rusting resistance in wheat.
Clevinger, Elizabeth. "Mapping Quantitative Trait Loci for Soybean Quality Traits from Two Different Sources." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33468.
Full textMaster of Science
Randall, Joshua Charles. "Large-scale genetic analysis of quantitative traits." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:addfb69d-602c-43e3-ab18-6e6d3b269076.
Full textShimomura, Koichiro. "Quantitative trait locus analysis of agronomic traits in weedy cucumber lines for breeding." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263362.
Full textScherff, Aline D. "Adolescent autistic traits and internalising traits : quantitative genetic investigations of co-occurrence patterns." Thesis, Birkbeck (University of London), 2014. http://bbktheses.da.ulcc.ac.uk/78/.
Full textLoredo-Osti, J. Concepción. "Analysis of quantitative traits, segregation and conditional linkage." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0015/NQ49278.pdf.
Full textKeith, Deborah J. "Genetic analysis of quantitative traits in Brassica napus." Thesis, University of East Anglia, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296926.
Full textBenyamin, Beben. "Genetic analyses of quantitative traits in human twins." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/10786.
Full textOlatoye, Olalere Marcus. "Quantitative genomic analysis of agroclimatic traits in sorghum." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/38251.
Full textDepartment of Agronomy
Geoffrey Morris
Climate change has been anticipated to affect agriculture, with most the profound effect in regions where low input agriculture is being practiced. Understanding of how plants evolved in adaptation to diverse climatic conditions in the presence of local stressors (biotic and abiotic) can be beneficial for improved crop adaptation and yield to ensure food security. Great genetic diversity exists for agroclimatic adaptation in sorghum (Sorghum bicolor L. Moench) but much of it has not been characterized. Thus, limiting its utilization in crop improvement. The application of next-generation sequencing has opened the plant genome for analysis to identify patterns of genome-wide nucleotide variations underlying agroclimatic adaptation. To understand the genetic basis of adaptive traits in sorghum, the genetic architecture of sorghum inflorescence traits was characterized in the first study. Phenotypic data were obtained from multi-environment experiments and used to perform joint linkage and genome-wide association mapping. Mapping results identified previously mapped and novel genetic loci underlying inflorescence morphology in sorghum. Inflorescence traits were found to be under the control of a few large and many moderate and minor effect loci. To demonstrate how our understanding of the genetic basis of adaptive traits can facilitate genomic enabled breeding, genomic prediction analysis was performed with results showing high prediction accuracies for inflorescence traits. In the second study, the sorghum-nested association mapping (NAM) population was used to characterize the genetic architecture of leaf erectness, leaf width, and stem diameter. About 2200 recombinant inbred lines were phenotyped in multiple environments. The obtained phenotypic data was used to perform joint linkage mapping using ~93,000 markers. The proportion of phenotypic variation explained by QTL and their allele frequencies were estimated. Common and moderate effects QTL were found to underlie marker-trait associations. Furthermore, identified QTL co-localized with genes involved in both vegetative and inflorescence development. Our results provide insights into the genetic basis of leaf erectness and stem diameter in sorghum. The identified QTL will also facilitate the development of genomic-enable breeding tools for crop improvement and molecular characterization of the underlying genes Finally, in a third study, 607 Nigerian accessions were genotyped and the resulting genomic data [about 190,000 single nucleotide polymorphisms (SNPs)] was used for downstream analysis. Genome-wide scans of selection and genome-wide association studies (GWAS) were performed and alongside estimates of levels of genetic differentiation and genetic diversity. Results showed that phenotypic variation in the diverse germplasm had been shaped by local adaptation across climatic gradient and can provide plant genetic resources for crop improvement.
Kadarmideen, Haja Najeemudin. "Statistical methods to map quantitative trait loci for binary traits in half-sib populations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ33306.pdf.
Full textTownson, Paul Donald. "The use of substitution lines to dissect genetically complex traits in Arabidopsis thaliana." Thesis, Oxford Brookes University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289248.
Full textMortimore, Sally Ruth. "Chromosomal location of factors controlling quantitative traits in barley." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385459.
Full textBigdeli, T. Bernard. "Quantitative Genetic Methods to Dissect Heterogeneity in Complex Traits." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2651.
Full textYe, Chun. "Statistical methods for the analysis of expression quantitative traits." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3386752.
Full textTitle from first page of PDF file (viewed February 11, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 156-169).
Morrill, Benson H. "Quantitative Genetic Analysis of Reproduction Traits in Ball Pythons." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1005.
Full textBrasier, Kyle Geoffrey. "Physiological Traits and Quantitative Trait Loci Associated with Nitrogen Use Efficiency in Soft Red Winter Wheat." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/89216.
Full textDoctor of Philosophy
Wheat (Triticum aestivum L.) products account for a significant percentage of the total dietary calories and protein consumed globally. To meet production demands, wheat requires efficient nitrogen (N) management to ensure continued grower profitability and to reduce negative environmental impacts of N lost from agricultural systems. This dissertation sought to evaluate variation among wheat lines for N use efficiency (NUE), assess the performance of wheat lines under multiple N supplies, validate traits that are associated with NUE, investigate the role of photoperiod sensitivity genes on N response, and identify regions of the wheat genome associated with high N use efficiency. These studies were conducted using panels of winter wheat lines grown under two or more N conditions over a combined 32 location-years. Results of Chapter I identified variation in cultivar response to N rates was more frequently observed when a greater number of N rates were used in trials of wheat N response. The first chapter also identified variation among wheat lines for NUE and identified lines that consistently produce high grain yields over N-location-years. In addition, above-ground biomass at physiological maturity was found to be strongly associated with grain yield under all N rates and was highly heritable in both studies. Chapter II utilized a combination of genetic and observable trait data to perform genetic analysis in two bi-parental populations grown in eight Nlocation-years. The study identified reproducible and significant genetic markers associated with NUE for application in wheat breeding programs. Upon analysis of photoperiod sensitive versus insensitive wheat lines in Chapter III, photoperiod sensitive wheat lines had a significant yield advantage under N-limited conditions in Ohio and across N treatments in half of the Virginia testing location-years. This resulted from an increased number of kernels per spike and fertile florets in photoperiod sensitive wheat lines. Results from this dissertation suggest that active breeding and selection for N response may be achieved through the employment of high NUE genes and the continued identification of adapted high NUE wheat parental lines.
McClure, Matthew Charles Taylor J. "Genome scan in commercial angus cattle for quantitative trait loci influencing growth, carcass, and reproductive traits." Diss., Columbia, Mo. : University of Missouri-Columbia, 2009. http://hdl.handle.net/10355/7006.
Full textJayawardena, Mahen. "An e-Science Approach to Genetic Analysis of Quantitative Traits." Doctoral thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-111597.
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Jayawardena, Mahen. "Parallel algorithms and implementations for genetic analysis of quantitative traits." Licentiate thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-85815.
Full textBettgenhaeuser, Jan. "Deciphering the genetic basis of quantitative traits in Brachypodium distachyon." Thesis, University of East Anglia, 2016. https://ueaeprints.uea.ac.uk/63532/.
Full textPrashant, R. "Study of quantitative traits governing wheat grain quality molecular approaches." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2011. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2116.
Full textAwad, Ashraf Fathy Said. "Mapping of Quantitative Trait Loci for Milk Yield Traits on Bovine Chromosome 5 in the Fleckvieh Cattle." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-126921.
Full textConde-Martinez, F. Victor. "Quantitative trait loci and bulk segregant analysis to identify drought-related traits in maize (Zea mays L.)." Thesis, University of East Anglia, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432430.
Full textHarilal, Vibin Eranezhath. "Genetics and Quantitative Trait Loci Mapping of Septoria Tritici Blotch Resistance, Agronomic, and Quality Traits in Wheat." Thesis, North Dakota State University, 2013. https://hdl.handle.net/10365/26478.
Full textYao, Ping. "Quantitative trait loci mapping and candidate gene analysis for growth and carcass traits on two bovine chromosomes." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4576.
Full textThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on May 7, 2009) Includes bibliographical references.
Abdel-Haleem, Hussein Ahmed. "Genetics and mapping of quantitative trait loci of feed quality-related traits in barley (Hordeum vulgare L.)." Diss., Montana State University, 2005. http://etd.lib.montana.edu/etd/2004/abdel-haleem/Abdel-HaleemH0505.pdf.
Full textKarunaratne, Vidarshi Kumudu Kumari. "Quantitative traits related to primary open angle glaucoma in the Scottish population isolate of Orkney." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/9708.
Full textWood, Andrew Robert. "Next generation genome-wide association studies in complex human quantitative traits." Thesis, University of Exeter, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574245.
Full textSemikhodskii, Andrei G. "Mapping quantitative traits for salinity responses in wheat (Triticum aestivum L.)." Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302054.
Full textKoerhuis, Alphonsus Nicolaas Maria. "Quantitative genetic studies on growth and reproductive traits in broiler chickens." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/11003.
Full textHeath, Simon Charles. "Inferences on the genetic control of quantitative traits from selection experiments." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/14040.
Full textLinney, Yvonne. "A quantitative genetic analysis of schizotypal personality traits and neuropsychological functioning." Thesis, King's College London (University of London), 2001. http://kclpure.kcl.ac.uk/portal/en/theses/a-quantitative-genetic-analysis-of-schizotypal-personality-traits-and-neuropsychological-functioning(cdce6371-4dd0-401e-873d-75fc5571afc1).html.
Full textDholakia, B. B. "Molecular approaches to decipher quantitative traits governing grain quality in wheat." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2001. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2311.
Full textSantos, Laura Viviana [Verfasser]. "Quantitative genetic analyses for dairy cow behavior traits and traits reflecting human-animal-technic interactions / Laura Viviana Santos." Gießen : Universitätsbibliothek, 2018. http://d-nb.info/1161339450/34.
Full textSantos, Laura [Verfasser]. "Quantitative genetic analyses for dairy cow behavior traits and traits reflecting human-animal-technic interactions / Laura Viviana Santos." Gießen : Universitätsbibliothek, 2018. http://d-nb.info/1161339450/34.
Full textSmitchger, Jamin A. "Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas." Thesis, Montana State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10607937.
Full textIn pea, lodging changes canopy structure, increases disease pressure, reduces yield, and reduces harvest efficiency. In order to discover the quantitative trait loci (QTLs) influencing lodging resistance and other important agronomic traits in pea, a recombinant inbred line (RIL) population was created from a relatively wide cross between the commercial variety Delta and an unnamed pea variety. The RIL population was grown for 6 site-years in Bozeman and Moccasin, MT, USA, and phenotypic data was collected for 22 quantitative morphological traits and seven categorical traits which were thought to be associated with lodging resistance. Genotypic data was derived from genotype by sequencing, microsattelite markers, and cleaved amplified sequence tagged sites.
QTL analysis identified a total of 135 putative QTLs for the 22 traits examined in the study. There were 12 specific regions where 115 QTLs co-located, indicating that as few as 12 genes may be responsible for multiple pleiotropic effects. Ten QTLs were found for lodging resistance. Due to the large amount of phenotypic data collected, the putative mechanism of lodging resistance was determined for each QTL. In nearly every case, lodging resistance was associated with reduced plant height, a change in tendril number, or increased stem strength. This conclusion was supported by mathematical modeling. Branch number, which determines the number of tendrils per plant, was also positively associated with lodging resistance during all site-years, indicating that increasing tendril number also increases lodging resistance.
Yield was controlled by eight QTLs. All QTLs for yield had pleiotropic effects on lodging resistance and yield per plant. Seed size was not correlated with yield, and a model was created which explained why no association between yield and seed size was found.
The pleiotropic effects and utility of the QTLs discovered in this study are discussed. The results of this study further refine the ideotype for pea, and can be used for marker assisted selection in this crop.
Kunert, Antje [Verfasser]. "Quantitative trait loci for agronomic and quality traits in two advanced backcross populations of winter wheat / Antje Kunert." Aachen : Shaker, 2007. http://d-nb.info/1170528260/34.
Full textClarke, Jasper. "Quantitative trait locus mapping of oil yield and oil quality related traits in the biofuel crop Jatropha curcas." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/16007/.
Full textThumma, Bala Reddy. "QTL analysis of physiological and biochemical traits contributing to drought resistance in stylosanthes /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16386.pdf.
Full textKlemmer, Daniel [Verfasser], Michael [Gutachter] Lässig, and Thomas [Gutachter] Wiehe. "Quantitative Traits and Phenotypic Interference / Daniel Klemmer ; Gutachter: Michael Lässig, Thomas Wiehe." Köln : Universitäts- und Stadtbibliothek Köln, 2018. http://d-nb.info/1175091596/34.
Full textVaez, Torshizi Rasoul. "Quantitative genetic analyses of production and reproduction traits in Australian merino sheep." Thesis, The University of Sydney, 1996. https://hdl.handle.net/2123/27593.
Full textVeloso, Rogério de Carvalho. "Effects of nutritional plans and genetic groups on quantitative traits of pigs." Universidade Federal de Viçosa, 2016. http://www.locus.ufv.br/handle/123456789/9220.
Full textMade available in DSpace on 2016-12-16T14:41:20Z (GMT). No. of bitstreams: 1 texto completo.pdf: 461248 bytes, checksum: 46887b912b1532fdd2359fe983b9b976 (MD5) Previous issue date: 2016-03-31
A seleção de genótipos para alto desempenho teve como consequência redução do teor gordura e perda na qualidade da carne. Uma alternativa para melhorar a qualidade da carne é o cruzamento de raças locais, como o Piau, com raças melhoradas como Duroc, Pietrain e Large White. Contudo, as diferenças nas taxas de crescimento e de deposição de gordura apresentadas pelos suínos indicam que os grupos genéticos tenham diferentes necessidades nutricionais. A genética e o ambiente são importantes na expressão das características de desempenho e qualidade da carne, principalmente quando há variações nas taxas de deposição de tecido magro e gordo. Essas variações podem causar interferência no perfil de expressão dos genes que atuam nas vias metabólicas ou hormonais das características relacionadas à qualidade da carne. Objetivou-se, com este trabalho, avaliar o efeito do grupo genético paterno (Piau, Base-Duroc e Pietrain) e dos planos nutricionais contendo diferentes níveis de lisina digestível (Baixo, Médio e Alto) sobre as características de desempenho, carcaça e qualidade da carne; o padrão de expressão gênica das isoformas da cadeia pesada da miosina (MyHC) nos músculos Longissimus e Psoas; e a expressão diferencial dos genes relacionados com o metabolismo lipídico (FAS, H-FABP, SCD, PRKAG1, PRKAG3 e HSL) no músculo Longissimus de suínos. Os machos castrados e as fêmeas cruzadas Pietrain e Duroc foram similares nas características de desempenho e carcaça e tiveram os melhores valores em comparação aos suínos cruzados Piau. Com relação à qualidade da carne, a perda por gotejamento foi maior nos machos castrados e fêmeas cruzadas Pietrain em comparação com os suínos cruzados Duroc e Pietrain. O consumo diário de lisina digestível dos animais foi maior no plano nutricional Alto, em relação aos planos nutricionais Médio e Baixo. A maioria das características de desempenho, carcaça e qualidade da carne avaliadas nos machos castrados e fêmeas não foram afetadas pelos planos nutricionais. Os níveis de expressão do H-FABP e SCD foram maiores nos suínos Duroc e Pietrain. Maior expressão do gene PRKAG3 foi observada nos machos castrados cruzados alimentados com o plano nutricional Baixo em comparação com os suínos alimentados com plano nutricional Médio e Alto. Houve maior expressão do gene MyHC IIb no músculo Longissimus dos suínos alimentados com os planos nutricionais contendo maiores níveis de lisina digestível em relação aos suínos cruzados que receberam plano nutricional contendo menores níveis de lisina digestível. Os níveis de expressão do gene MyHC IIb no músculo Longissimus foi maior nos machos castrados cruzados Duroc e Pietrain em comparação aos machos castrados cruzados Piau (P < 0,05). Em geral, os suínos cruzados Duroc e Pietrain tiveram melhor desempenho e rendimento de carcaça em comparação aos cruzados Piau. O atual estudo indica que o genótipo tem forte influencia sobre a deposição do conteúdo de gordura intramuscular, principalmente pela regulação da expressão gênica lipogênica intramuscular. A expressão diferencial das isoformas MyHC nos músculos podem ser os fatores mais importantes que influenciam o conteúdo de gordura intramuscular e a perda por gotejamento em suínos. Estes resultados podem fornecer informações valiosas para o entendimento das diferenças na qualidade da carne de diferentes grupos genéticos de suínos.
Selection of genotypes for high performance led to a fat level reduction and loss of meat quality as consequence. An alternative to improve meat quality is the crossbreeding of non-selected local pig breed, such as Piau, with improved breeds such as Duroc, Pietrain and Large White. However, growth rate and fat deposition differences in pigs indicate that genetic groups have different nutritional needs. Genetic and environment are important in expression of performance and meat quality traits, mainly when variations in deposition of lean and fat tissue rates are observed. These variations may affect genes expression profile that acts in metabolic or hormonal pathways of meat quality related traits. In this work, we aimed to evaluate the effects of paternal genetic group (Piau, Duroc-based and Pietrain) and nutritional plans with different digestible lysine levels (Low, Medium and High) on performance, carcass and meat quality traits; gene expression pattern of myosin heavy chain isoforms (MyHC) in Longissimus and Psoas muscles; and differential expression of lipid metabolism-related genes (FAS, H-FABP, SCD, PRKAG1, PRKAG3 and HSL) in Longissimus muscle of pigs. Pietrain and Duroc crossbred barrows and gilts were similar in performance and carcass traits and had greatest values compared to Piau crossbred pigs. Regarding the meat quality, drip loss was greater in Pietrain crossbred barrows and gilts compared to Duroc and Piau crossbred pigs. Daily digestible lysine intake was greater in High nutritional plan animals in relation to Medium and Low nutritional plans. Most of performance, carcass and meat quality traits evaluated in barrows and gilts were not affected by nutritional plans. Expression levels of H-FABP and SCD were higher in Duroc and Pietrain pigs. Higher expression of PRKAG3 gene in barrows fed with Low nutritional plan compared with pigs fed with Medium and High nutritional plan was observed. There was a higher expression of MyHC IIb gene in Longissimus muscle of crossbred barrows fed with greater digestible lysine levels compared to crossbred barrows that received nutritional plan with lower digestible lysine levels. The mRNA expression levels of MyHC IIb in Longissimus muscle was higher in Duroc and Pietrain crossbred compared to Piau crossbred barrows (P < 0.05). In general, Duroc and Pietrain crossbred pigs had greater performance and carcass rate compared to Piau crossbred pigs. The present study indicated that genotype has a strong effect on intramuscular fat content deposition mainly by up-regulation of intramuscular lipogenic gene expression. The differentially expression of MyHC isoforms in muscles may be the most important factors affecting intramuscular fat content and drip loss in pig. These results may provide valuable information to the understanding of meat quality differences in divergent genetic groups of pigs.
Nagy, Réka. "Genetic analysis using family-based populations." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/28978.
Full textLi, Jingzhao. "Mapping of new microsatellite markers and molecular identification of quantitative trait locus (QTL) for agronomically important traits in barley." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=97412141X.
Full textBanerjee, Samprit. "Bayesian genome-wide QTL mapping for multiple traits." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2009r/banerjee.pdf.
Full textGoddard, Katrina Blouke. "Study design issues in the analysis of complex genetic traits /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/9565.
Full text