Dissertations / Theses on the topic 'CATWOE Analysis'
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Tamtam, Abdurrzzag Giuma A. "A Framework for Exploring Information Systems Quality Perspectives." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-233430.
Full textSetiyaningsih, Surachmi. "Molecular and immunogenic analysis of Jembrana disease virus Tat." Setiyaningsih, Surachmi (2006) Molecular and immunogenic analysis of Jembrana disease virus Tat. PhD thesis, Murdoch University, 2006. http://researchrepository.murdoch.edu.au/299/.
Full textHasima, Noor. "Analysis of class I MHC genes in cattle." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/15004.
Full textNeuditschko, Markus. "A whole-genome population structure analysis within cattle breeds." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-133991.
Full textBall, Nia. "Temperament traits in cattle : measurement and preliminary genetic analysis." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/10716.
Full textVargas, Giovana. "Genetic analysis of feet and legs in Nelore cattle /." Jaboticabal, 2015. http://hdl.handle.net/11449/123735.
Full textCoorientador: Danísio Prado Munari
Coorientador: Haroldo Henrique de Rezende Neves
Banca: Fernando Sebastián Baldi Rey
Banca: Idalmo Garcia Pereira
Resumo: O objetivo deste estudo foi estimar os componentes de variância para a característica aprumo em bovinos da raça Nelore, e realizar estudos de associação genômica ampla para identificar possíveis regiões genômicas relacionadas com sua expressão. Os registros de aprumo foram obtidos pela atribuição de escores visuais em dois momentos diferentes: FL1) característica binária medida ao sobreano, com o objetivo de identificar se o animal apresenta (FL1=1) ou não (FL1=0) defeito de aprumo; FL2) escores de aprumo variando de 1 (menos desejável) a 5 (mais desejável), foram designados aos animais top 20% para o índice de seleção adotado pelo programa de melhoramento genético de bovinos de corte PAINT (CRV Lagoa), e foram medidos em torno de 2 a 5 meses após a avaliação de sobreano. As características FL1 e FL2 foram avaliadas em conjunto com peso ao sobreano (YW). Os componentes de variância e covariância e os valores genéticos foram estimados por inferência Bayesiana, por meio de modelo animal bi-característica (três análises: FL1-FL2, YW-FL1 e YW-FL2). O estudo de associação genômica ampla (GWAS) para FL1 e FL2 foi realizado utilizando o método weighted single-step GBLUP, a partir do qual foram estimados os efeitos dos SNPs. As janelas top 10 de 1 Mb que explicam a maior proporção da variância genética foram observadas para cada característica. As médias (erros padrão) a posteriori das estimativas de herdabilidade foram iguais a 0,18 (0,04) e 0,39 (0,07), para FL1 e FL2, respectivamente. A estimativa de correlação genética entre FL1 e FL2 (-0,47) foi de moderada magnitude e negativa, conforme esperado, considerando que o escore de classificação que favorece cada característica corresponde a valores numéricos atribuídos em sentidos opostos. A correlação genética estimada entre FL2 e YW (0,39) sugere que a média do peso ao sobreano da população em estudo não é alta a ponto de causar...
Abstract: The aim of this study was to estimate variance components of two traits associated to feet and legs in Nelore cattle and identify putative genomic regions underlying the expression of these traits through genome-wide association (GWA) analyses. Feet and legs was evaluated by the assignment of visual scores at two different moments: FL1) binary trait measured at yearling (about 550 days of age), aimed to identify whether an animal had defects related to feet and legs (FL1=1) or not (FL1=0); FL2) feet and legs score ranging from 1 (less desirable) to 5 (more desirable) was assigned to the top 20% animals for the selection index adopted by the beef cattle breeding program PAINT (CRV Lagoa), which were measured around 2-5 months after the evaluation of yearling. The FL1 and FL2 traits were evaluated together with yearling weight (YW). The components of variance and covariance and breeding values were estimated by Bayesian inference, using two-trait animal models (three analyses: FL1-FL2, YW-FL1 and YW-FL2). The genome-wide association (GWA) analyses for FL1 and FL2 was performed using the weighted single-step GBLUP method, from which were estimated the SNP effects. Functional annotation was focused on the ten 1Mb windows explaining the largest fraction of the genetic variance for each trait. Posterior means (standard errors) of heritability estimates were equal to 0.18 (0.04) and 0.39 (0.07), for FL1 and FL2, respectively. The estimate of genetic correlation between FL1 and FL2 (-0.47) was of moderate magnitude and negative, as expected considering that the classification score that favors each trait represents numerical values assigned in opposite directions. The genetic correlation estimated between FL2 and YW (0.39) suggests that the average yearling weight of the studied population is currently not high enough to cause a negative association with feet and legs problems. The genetic trends estimated for FL1 and FL2 (-0.043 and ...
Mestre
Vargas, Giovana [UNESP]. "Genetic analysis of feet and legs in Nelore cattle." Universidade Estadual Paulista (UNESP), 2015. http://hdl.handle.net/11449/123735.
Full textO objetivo deste estudo foi estimar os componentes de variância para a característica aprumo em bovinos da raça Nelore, e realizar estudos de associação genômica ampla para identificar possíveis regiões genômicas relacionadas com sua expressão. Os registros de aprumo foram obtidos pela atribuição de escores visuais em dois momentos diferentes: FL1) característica binária medida ao sobreano, com o objetivo de identificar se o animal apresenta (FL1=1) ou não (FL1=0) defeito de aprumo; FL2) escores de aprumo variando de 1 (menos desejável) a 5 (mais desejável), foram designados aos animais top 20% para o índice de seleção adotado pelo programa de melhoramento genético de bovinos de corte PAINT (CRV Lagoa), e foram medidos em torno de 2 a 5 meses após a avaliação de sobreano. As características FL1 e FL2 foram avaliadas em conjunto com peso ao sobreano (YW). Os componentes de variância e covariância e os valores genéticos foram estimados por inferência Bayesiana, por meio de modelo animal bi-característica (três análises: FL1-FL2, YW-FL1 e YW-FL2). O estudo de associação genômica ampla (GWAS) para FL1 e FL2 foi realizado utilizando o método weighted single-step GBLUP, a partir do qual foram estimados os efeitos dos SNPs. As janelas top 10 de 1 Mb que explicam a maior proporção da variância genética foram observadas para cada característica. As médias (erros padrão) a posteriori das estimativas de herdabilidade foram iguais a 0,18 (0,04) e 0,39 (0,07), para FL1 e FL2, respectivamente. A estimativa de correlação genética entre FL1 e FL2 (-0,47) foi de moderada magnitude e negativa, conforme esperado, considerando que o escore de classificação que favorece cada característica corresponde a valores numéricos atribuídos em sentidos opostos. A correlação genética estimada entre FL2 e YW (0,39) sugere que a média do peso ao sobreano da população em estudo não é alta a ponto de causar ...
The aim of this study was to estimate variance components of two traits associated to feet and legs in Nelore cattle and identify putative genomic regions underlying the expression of these traits through genome-wide association (GWA) analyses. Feet and legs was evaluated by the assignment of visual scores at two different moments: FL1) binary trait measured at yearling (about 550 days of age), aimed to identify whether an animal had defects related to feet and legs (FL1=1) or not (FL1=0); FL2) feet and legs score ranging from 1 (less desirable) to 5 (more desirable) was assigned to the top 20% animals for the selection index adopted by the beef cattle breeding program PAINT (CRV Lagoa), which were measured around 2-5 months after the evaluation of yearling. The FL1 and FL2 traits were evaluated together with yearling weight (YW). The components of variance and covariance and breeding values were estimated by Bayesian inference, using two-trait animal models (three analyses: FL1-FL2, YW-FL1 and YW-FL2). The genome-wide association (GWA) analyses for FL1 and FL2 was performed using the weighted single-step GBLUP method, from which were estimated the SNP effects. Functional annotation was focused on the ten 1Mb windows explaining the largest fraction of the genetic variance for each trait. Posterior means (standard errors) of heritability estimates were equal to 0.18 (0.04) and 0.39 (0.07), for FL1 and FL2, respectively. The estimate of genetic correlation between FL1 and FL2 (-0.47) was of moderate magnitude and negative, as expected considering that the classification score that favors each trait represents numerical values assigned in opposite directions. The genetic correlation estimated between FL2 and YW (0.39) suggests that the average yearling weight of the studied population is currently not high enough to cause a negative association with feet and legs problems. The genetic trends estimated for FL1 and FL2 (-0.043 and ...
Garzón, Natalia Andrea Marín. "Genomic analysis for preweaning calf mortality in Nellore cattle /." Jaboticabal, 2019. http://hdl.handle.net/11449/183544.
Full textResumo: ABSTRACT – Preweaning calf mortality is one of main causes of economic losses in beef cattle, since most of economic incomes are represented by the number of weaned calves available for sale. It is also detrimental for genetic progress due to the reduction of young candidates for selection. The inclusion of molecular markers in genetic analysis allows a better understanding of genetic mechanisms underlying calf mortality. The objectives of this study were: i) to estimate direct and maternal heritability of preweaning calf mortality in Nellore cattle and ii) to seek for genomic regions and candidate genes affecting direct and maternal effects of preweaning calf mortality in Nellore cattle. Variance components were estimated via Bayesian Inference using a threshold animal model, that included the systematic effects of contemporary group, birth weight as linear covariate, and age of dam at calving as linear and quadratic covariates. The direct and maternal genetics, and the residual were fitted as random effects. The final dataset used contained phenotypic records on 67,196 animals, offspring of 1,469 sires and 30,970 dams. The SNPs effects were estimated based on the weighted single-step GBLUP approach, using information of 8,443 genotyped animals with 410,936 SNPs. Direct and maternal heritability estimates were of 0.2143±0.0348 and 0.0137±0.0066, respectively. The top 10 genomic regions accounted for 13.61 and 14.23% of direct and maternal additive genetic variance and harbor... (Resumo completo, clicar acesso eletrônico abaixo)
Mestre
Harland, Mark. "Molecular analysis of genetic variation in Irish Moiled cattle." Thesis, University of Liverpool, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240842.
Full textXu, Xuankuo. "Protein adsorption isotherms and their effects on transport in cation-exchange chromatography." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 244 p, 2008. http://proquest.umi.com/pqdweb?did=1459924621&sid=13&Fmt=2&clientId=8331&RQT=309&VName=PQD.
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.
Riekert, Sydney Peter. "The influence of slaughter on blood composition in cattle." Thesis, University of the Witwatersrand, 1986. http://hdl.handle.net/10539/20118.
Full textHamm, Lee Bradford. "Engineering analysis of fugitive particulate matter emissions from cattle feedyards." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3240.
Full textMuchena, MaryEmma. "Cattle in mixed farming systems of Zimbabwe : an economic analysis." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357693.
Full textTaylor, Z. "Synthesis and analysis of new lithium-ion battery cathode materials." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3022918/.
Full textSeo, Imsul. "Relaxation Analysis of Cathode Materials for Lithium-Ion Secondary Battery." Kyoto University, 2013. http://hdl.handle.net/2433/180446.
Full textUprety, Rajendra Prasad. "Perspectives on soil cation exchange capacity : analysis, interpretation and application." Thesis, University of Aberdeen, 2016. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231062.
Full textSánchez, Ramírez José Manuel. "INFLUENCE OF SACCHAROMYCES CEREVISIAE ON THE ENVIRONMENTAL EFFICIENCY OF METHANE PRODUCTION IN DAIRY AND BEEF CATTLE: META-ANALYSIS." Tesis de Licenciatura, Universidad Autónoma del Estado de México, 2018. http://hdl.handle.net/20.500.11799/94354.
Full textJansson, Mörk Marie. "Validation of disease recordings in Swedish dairy cattle." Uppsala : Dept. of Clinical Sciences, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200966.pdf.
Full textHaney, Christopher J. "Functional Analysis of the Cation Diffusion Facilitator ZitB from Escherichia coli." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195975.
Full textXiao, Yao. "Analysis for reaction mechanism of cathode materials for lithium-sulfur batteries." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263747.
Full text新制・課程博士
博士(人間・環境学)
甲第23286号
人博第1001号
京都大学大学院人間・環境学研究科相関環境学専攻
(主査)教授 内本 喜晴, 教授 田部 勢津久, 教授 高木 紀明
学位規則第4条第1項該当
Doctor of Human and Environmental Studies
Kyoto University
DFAM
Watanabe, Aruto. "Analysis of Crystal and Electronic Structures of Next Generation Cathode Materials." Kyoto University, 2020. http://hdl.handle.net/2433/253385.
Full text0048
新制・課程博士
博士(人間・環境学)
甲第22549号
人博第952号
新制||人||226(附属図書館)
2019||人博||952(吉田南総合図書館)
京都大学大学院人間・環境学研究科相関環境学専攻
(主査)教授 内本 喜晴, 教授 吉田 寿雄, 准教授 戸﨑 充男
学位規則第4条第1項該当
Wang, Junqin. "Enteric methane emissions from dairy and beef cattle: a meta-analysis." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/18177.
Full textDepartment of Biological and Agricultural Engineering
Zifei Liu
This study reviewed state-of-the-art cattle enteric methane (CH4) emissions with three reported measuring units: g/head/d, g/kg DMI (dry matter intake), and %GEI (gross energy intake). Cattle emissions studies included in this meta-analysis were reported from 1995 to 2013. Fifty-five published studies were analyzed with specific objectives: (1) to gain basic information regarding magnitudes and distributions of enteric CH4 emission rates with various units, regions, cattle types and feed situations; (2) to identify and evaluate effects of influence factors or diet mitigation techniques on enteric CH4 emissions; and (3) to evaluate Intergovernmental Panel on Climate Change (IPCC) approaches to estimate enteric CH4 emissions. Emissions data (n=165) with the unit of g/head/d had large variances and non-normal distribution, and were not homogeneous across the studies. Emissions data (n=134) with the unit of g/kg DMI were not homogeneous across the studies, while emissions data (n=76) with the unit of %GEI had small variances and normal distribution, and were homogeneous across the studies. Therefore, data with the unit of %GEI may be better for meta-analysis compared to data with the units of g/head/d and g/kg DMI; however, the number of data with the unit of %GEI was small relative to the number of data with the units of g/head/d and g/kg DMI. Enteric CH4 emissions with the unit of g/head/d are significantly influenced by geographic region, cattle classification, sub-classification, humidity, temperature, body weight, and feed intake. Emissions and feed intake had a strong positive linear relationship with R2 of 0.75 (n=148). Emissions with the unit of g/kg DMI are significantly affected by humidity, body weight, and feed intake. The relationship between emissions and feed intake is positive. Emissions with the unit of %GEI are significantly associated with humidity, production stage, and body weight. IPCC Tier 1 and Tier 2 estimated emissions were approximate to most of the measured enteric CH4 emissions; however, the residuals were not normally distributed. Based on results from PRD method and paired t-tests, IPCC Tier 1 overestimated emissions in Asian studies, underestimated emissions in European studies for beef cattle, and underestimated emissions in Oceanian studies for dairy cattle. IPCC Tier 2 underestimated emissions in Asian studies for beef cattle. The underestimated emissions of IPCC Tier 2 in Asian studies might result from no consideration of effects from production stage and body weight.
Gates, Maureen Carolyn. "Controlling endemic disease in cattle populations : current challenges and future opportunities." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9378.
Full textSparks, Amy Elizabeth Thuemmel. "Bovine embryo microinjection, culture, microsurgery, and DNA analysis by the polymerase chain reaction technique." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-170630/.
Full textRoe, Janell. "Review and analysis of the 2008 National Stocker Survey." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/8629.
Full textDepartment of Agricultural Economics
Kevin C. Dhuyvetter
The 2008 National Stocker Survey defines the backgrounding/stocking of cattle as ―operations where calves are grown after weaning and/or preconditioning but before the feedlot. This includes calves purchased for this purpose as well as those retained by cow-calf producers post-weaning, but before marketing or retention through the feedlot. Backgrounding offers many benefits to farmers including, but not limited to, adding value to their feedstuffs—hay, grain, etc.—by feeding it to their cattle and potentially spreading risk by increasing marketing time or engaging in contracts with feedlots. However, producers also take on increased costs as it takes more time to wean, bunk-train, vaccinate, etc. compared to other operations in the cattle industry. This thesis attempts to analyze two studies using the 2008 National Stocker Survey. The first is how producer and operation characteristics—producer age, type of operation, income derived from backgrounding—relate to why producers find variables such as cattle prices, animal health management, marketing practices, and nutrition important. The second is how producer and operation characteristics relate to producers that use futures market contracts and options on futures. Binary and ordered logit models were used to find the statistical significance of the aforementioned studies.Since this survey was specifically designed to profile the stocking/backgrounding industry, some of the estimated models did not add a lot of value beyond the summary statistics for the various dependent variables. That is, the ordered logit models did not identify any strong relationships given that almost all of the producers that responded to these questions found feeder cattle prices, animal health management, marketing practices, and nutrition very important, which can be seen by analyzing the summary statistics. In addition, the binary logit models that were used for the futures market contract and options on futures models, found that the best way to pinpoint producers using either futures contracts or options was if producers were already using risk management strategies. Therefore, the survey’s purpose of profiling the stocker industry may be its best use.
Mabakane, Elizabeth Nontombi. "The determination of distribution coefficient for some elements on the macroporous cation exchanger Amberlyst 15 using nitric acid – methanol mixtures." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2329.
Full textThe main purpose of this study is to understand the application of ion exchange chromatography on separation of charged ions of elements. Ion exchange chromatography is an analytical method, which is used for the separation of elements, quantitation and qualitation. The use of Amberlyst 15 resin as a source of separation for metal ions has been investigated and studies in various academic disciplines such as chemistry and material science. In this research study, Amberlyst 15 resin was investigated in order to understand the separation of positively charged divalent elements ions (Zn2+, Cu2+, Co2+ and Ni2+). The use of nitric acid and methanol mixture enhanced separation of these metal ions by ensuring that nitric acid is constant and varying methanol concentration. In this study, it was found that the resin has a high affinity for the metal ions at high methanol concentration, hence the distribution coefficient values increase but decreases at low methanol concentrations. The complexities of molecular structure of the salts of the elements provide the more understanding of the metal ion interaction with the resin particle. Furthermore, the role and strength of nitric acid to break the structural bonds and release the metal ions to get sorbed on the resin remains the most essential factor of understanding distribution coefficient values. Method validation parameters such as linearity, precision and accuracy of the method were determined. The method precision and accuracy were determined from the QC samples which is expressed as relative error (%RE) with the total coefficient of variation (%CV’s) were < 20%.
Evans, Jason R. "An economic analysis of pasture-raised beef systems in Appalachia." Morgantown, W. Va. : [West Virginia University Libraries], 2003. http://etd.wvu.edu/templates/showETD.cfm?recnum=3193.
Full textTitle from document title page. Document formatted into pages; contains vi, 163 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 132-136).
Akhimienmhonan, Douglas. "An economic analysis of gene marker assisted seedstock selection in beef cattle." Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/96.
Full textEldridge, Roger Wayne. "KENTUCKY FEEDER CATTLE PRICE ANALYSIS: MODELS FOR PRICE PREDICTIONS AND GRAZING MANAGEMENT." Lexington, Ky. : [University of Kentucky Libraries], 2005. http://lib.uky.edu/ETD/ukyagec2005t00310/RWThesis.pdf.
Full textTitle from document title page (viewed on November 8, 2005). Document formatted into pages; contains viii, 90 p. : ill. Includes abstract and vita. Includes bibliographical references (p. 86-88).
Juntu, Jaber. "Texture analysis of ultrasound images to assess meat quality in beef cattle." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ40423.pdf.
Full textThomas, Robert Neil Webb. "Cattle and the Romano-British economy : a metrical analysis of size variation." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237224.
Full textDavis, Rex. "An economic analysis of the common cattle tick (Boophilus microplus) in Queensland /." St. Lucia, Qld, 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16443.pdf.
Full textConstantinopol, Minerva. "Comparing Vo₂ max and Dlo₂ in ponies and cattle : a morphometric analysis /." Bern, 1986. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.
Full textWalker, Anna Marie. "Quantitative analysis of locomotion to aid lameness detection." Thesis, Royal Veterinary College (University of London), 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669186.
Full textNugent, Russell Arthur. "Analysis of newborn calf body measurements and relationship of calf shape to sire breeding values for birth weight and calving ease." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-07282008-135956/.
Full textKim, Teayoun Kaltenboeck Bernhard. "Multivariate analyses of disease outcomes of chlamydial infections in cattle and mice." Auburn, Ala., 2005. http://repo.lib.auburn.edu/EtdRoot/2005/SPRING/Pathobiology/Dissertation/KIM_TEA_19.pdf.
Full textOlynk, Nicole J. "Economic analyses of reproduction management strategies and technologies on U.S. dairy farms." Diss., Connect to online resource - MSU authorized users, 2008.
Find full textTitle from PDF t.p. (viewed on July 28, 2009) Includes bibliographical references (p. 105-108). Also issued in print.
Hecht, Benjamin C. "Sequence Analysis of PMEL17 as Candidate Gene for Causing Rat-Tail Syndrome in Cattle." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1467.pdf.
Full textAbdullahi, A. K. "An economic analysis of a settlement model for Fulani pastoralists in Sokoto State, Nigeria." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370544.
Full textFarrell, Terence Christopher. "A multivariate analysis of two cooking methods for nine muscles from limousin and wagyu steers." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Summer2005/t%5Ffarrell%5F071705.pdf.
Full textCarlisle, Kelsey. "Hormonal and Mineral Affects on Carcass Composition and Nutritional Analysis in Feedlot Cattle." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/311767.
Full textWederell, C. W. "The electrochemical and UV/visible spectroscopic analysis of viologen cation radical salt deposits." Thesis, University of Southampton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333079.
Full textWamae, Leonard Wachira. "Comparative pathogenesis and immunochemical analysis of Fasciola gigantica infections in cattle and sheep." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/30038.
Full textAlves, Anderson Antonio Carvalho. "Applying machine learning methods for genomic analysis of reproductive traits in Nellore cattle /." Jaboticabal, 2019. http://hdl.handle.net/11449/191316.
Full textResumo: A seleção de animais geneticamente superiores com base na informação genômica tem sido uma tendência crescente e promissora em programas de melhoramento. No entanto, os principais métodos de predição genômica envolvem modelos paramétricos, que em sua maioria, assumem somente variância aditiva para o efeito dos marcadores, ignorando-se possíveis relações não-lineares. A consideração de tais efeitos pode ser importante para melhorar a habilidade de predição em características com arquitetura genética complexa. Recentemente, tem crescido o interesse em métodos de predição semi e não paramétricos. Dentro desse contexto, os métodos de aprendizagem de máquina tais como Redes Neurais Artificiais (ANN), “Random Forest” (RF) e “Support Vector Machines” (SVM) são alternativas interessantes. Os objetivos do presente estudo foram: i) Comparar o desempenho preditivo do modelo “Genomic Best Linear Unbiased Predictor” (GBLUP) e de métodos de aprendizagem de máquina em populações simuladas de bovinos de corte, apresentando diferentes níveis para efeitos de dominância; ii) Investigar a habilidade de predição de diferentes métodos de aprendizagem de máquina para predição genômica de características reprodutivas em bovinos da raça Nelore; iii) Desenvolver um estudo de associação genômica ampla (GWAS) utilizando a metodologia “Random Forest”, a fim de buscar genes candidatos para idade ao primeiro parto em novilhas da raça Nelore. No primeiro estudo, o genoma simulado compreendeu um painel de SN... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The selection of genetically superior animals based on genomic information has been an increasing and promising trend in breeding programs. However, the main methods used for genome-enabled prediction involve parametric models that mostly assume only additive variance for markers effects, ignoring possible nonlinear relationships. Accounting for such effects may be important to improve the predictive ability for traits with complex genetic architecture. The interest in semi and non-parametric prediction methods has recently increased. Within this context, machine learning methods such as Artificial Neural Networks (ANN), Random Forest (RF) and Support Vector Machines (SVM) are an interesting alternative. The aims of the present study were: i) To compare the predictive performance of Genomic Best Linear Unbiased Predictor (GBLUP) and machine learning methods in simulated beef cattle populations presenting different degrees of dominance; ii) To investigate the predictive ability of different machine learning for genome-enabled prediction of reproductive traits in Nellore cattle and compare their performance with parametric approaches (GBLUP and BLASSO); iii) To perform a genome-wide association study (GWAS) using the Random Forest approach for scanning candidate genes for age at first calving in Nellore heifers. In the first study, the simulated genome comprised 50k single nucleotide polymorphisms (SNPs) and 300 QTL (Quantitative Trait Loci), both biallelic and randomly distrib... (Complete abstract click electronic access below)
Doutor
Eriksson, Erik. "Verotoxinogenic Escherichia coli O157:H7 in Swedish cattle and pigs /." Uppsala : Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, 2010. http://epsilon.slu.se/201003.pdf.
Full textLunsford, Terry L. "CHARACTERISTICS OF BEEF CATTLE THAT DETERMINE THE PRICE DIFFERENCE BETWEEN TRADITIONAL AND CPH SALES." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_theses/172.
Full textOtt, Henry L. "Economic analysis of backgrounding and stocking industries in the Flint Hills of Kansas." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/32868.
Full textDepartment of Agricultural Economics
Glynn Tonsor
The purpose of our analysis was to examine production strategies in the backgrounder and stocker segments of the beef industry within the Flint Hills region of Kansas. The time period analyzed encompassed 1996-2015. September and November placements of steers in the backgrounding sector of the industry were analyzed with an intended March sale date. Placements considered included 425, 500, and 575 pound steers. April and May placements of steers were analyzed for the industry’s stocking sector with an intended July sale date. Placements considered included 450, 600, and 750 pound steers. Within our analysis historical ex-post net incomes were analyzed, prediction errors were calculated (net income, revenue, and cost of gain), and market incentives/signals were analyzed. While for our historical ex-post net income analysis we did not identify one of the four placement strategies as superior in all 20 years of our analysis, we did find scenarios that were typically superior to others. In terms of backgrounding, November placements were typically superior to September placements, in terms of stocking April placements were typically superior to May placements, and when comparing backgrounding and stocking scenarios stocking scenarios were typically superior. In terms of prediction errors, we found that revenue errors are the main drivers of net income error. In general, within the backgrounding scenarios typical producers who are representative of our model assumptions generally overestimate net incomes which is detrimental to them (make lower profits than they anticipate making), while in stocking scenarios producers underestimate net incomes which is generally beneficial to them (make larger profits than they anticipate making). Market signal/incentive and ex-post net income analysis both indicated that steer weight at time of sale was a large factor influencing backgrounder profitability and decision making, and that pasture rents were a large factor influencing stocker profitability and decision making. In all four scenarios it proved economically beneficial to place lighter steer rather than heavy steers. Further research may include, but is not limited to; adding bulls and heifers to our model, analyzing different placement weights within our model, and allowing for animal performance variability within our model.
Smith, Algina Maria Johanna. "Genetic analyses of growth traits for the Simbra composite breed." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4168.
Full textENGLISH ABSTRACT: The aim of this study was to evaluate the Simbra breed of cattle for certain non-genetic as well as genetic parameters influencing live weight traits in the breed. Live weight traits included birth weight (BW), weaning weight at 200 days of age (WW), yearling weight at 400 days of age (YW) and 600 day weight. The Simmental and Simbra Breeders’ Society of Southern Africa availed 148751 records for analysis from the year 1987 till 2009. Due to deficiencies of various kinds in the data and the restrictions imposed for the purposes of the analysis, 56.44% of the records were discarded for BW, 76.55% for WW, 91.54% for YW and 96.32% for 600-day weight. Non-genetic parameters affecting BW, WW, YW and 600-day weight were analysed using the General Linear Models procedure of the Statistical Analysis System (SAS, 2004) software. During this procedure sex of calf, breed composition of calf, breeder of calf, month of birth, year of birth and dam age were fitted in the models. BW, WW, YW and Mature Cow Weight (MCW) were fitted as covariates where possible. It was determined that the fixed effects of sex, dam age, breeder, year and month had a significant (P < 0.05) effect of BW and WW while dam age was not significant (P > 0.05) for YW or 600-day weight. Breed was found non significant for YW. Breeder of the calf accounted for the most variation in BW, WW, YW as well as 600-day weight with a contribution of 17.55%, 25.77%, 18.35% and 10.71% respectively. Tukey’s multiple range tests were performed for testing differences between least square means. Results indicated male calves to be significantly heavier than females for all four traits measured. Breed composition differences were found significant until WW. Calves with higher Brahman percentage weighted more at birth while calves with higher Simmental percentage weighed more at weaning. Middle-aged dams were found to account for heavier calves at both BW and WW while very young dams and very old dams produced lighter calves for the two live weight traits. A number of years showed a significant difference from each other for all the traits measured as well as month of birth. (Co) variance components and the resulting genetic parameters were estimated using single-traits and three-traits analysis by means of Restricted Maximum Likelihood procedures (Gilmour et al., 2002). Appropriate models were selected by means of Log likelihood ratios tests and implemented to estimate genetic parameters for each of the traits studied. Direct additive heritabilities for BW, WW, YW and 600-day weight in the Simbra were respectively 0.56 ± 0.08, 0.67 ± 0.09, 0.70 ± 0.11 and 0.10 ± 0.03 when the most suitable animal model was fitted in single-trait analyses for each trait. Single traits analysis also included maternal additive as well as the correlation between direct additive and maternal additive for BW, WW and YW. Maternal additive heritability estimates of 0.24 ± 0.07, 0.33 ± 0.06 and 0.38 ± 0.07 was obtained for BW, WW and YW. Correlation estimates between direct additive and maternal additive were -0.75 ± 0.07, -0.93 ± 0.07 and -0.85 ± 0.08 for BW, WW and YW respectively. Furthermore, dam permanent environment was included as an additional random effect that increased the log likelihood value significantly. A value of 0.04 ± 0.05 was obtained for dam permanent environment estimate for WW. When a three traits analysis was done for the same traits, but using a significantly smaller data set, direct additive heritabilities of 0.24 ± 0.07 for BW, 0.33 ± 0.06 for WW and 0.38 ± 0.07 for YW were obtained. Genetic and environmental correlation estimates of 0.18 ± 0.16 and 0.09 ± 0.06 between BW and WW; 0.27 ± 0.16 and 0.07 ± 0.06 between BW and YW; as well as 0.52 ± 0.10 and 0.45 ± 0.05 between WW and YW were obtained during the three-trait analysis. The magnitude of the heritabilities obtained in this study indicates that the opportunity exists to make genetic progress through proper selection objectives.
AFRIKAANSE OPSOMMING: Die doel van hierdie studie was om die Simbra bees ras te evalueer op grond van sekere niegenetiese so wel as genetiese parameters wat lewende gewig beïnvloed. Gereelde en akkurate opnames van lewende gewig, is ‘n goeie indikasie van groei potensiaal en is ‘n minimim vereiste vir meeste beesras telings genootskappe. Lewende gewigs eienskappe sluit in geboorte gewig (BW), speen gewig gemeet op 200 dae (WW), jaaroue gewig gemeet op 400 dae (YW) en finale gewig gemeet op 600-dag gewig. Die Simmentaler en Simbra genootskap van Suid Afrika het 148751 rekords beskikbaar gestel vir evaluasie vanaf die jaar 1987 tot 2009. Daar was egter groot tekort komings aan die gewewe data en dus is daar 56.44% van die rekords vir BW nie gebruik nie, 76.55% vir WW, 91.54% vir YW en 96.32% vir 600-dag gewig. Nie-genetiese parameters wat die onderskeie lewende gewigte beïnvloed het, is geanaliseer deur Algemene Lineêre Modelle met behulp van die Statistiese Analitiese Sisteem (SAS, 2004) sagteware. Gedurende die analise is geslag van die kalf, ras samestelling, teler van die kalf, maand van geboorte, jaar van geboorte asook moeder ouderdom gepas in die modelle vir die onderskeie gewigte. Geboorte gewig, speen gewig, jaaroue gewig asook volwasse koei gewig is gepas in elk van die modelle as ko-variate. Volgens die resutate is daar vasgestel dat geslag van die kalf, moeder ouderdom, teler, jaar, maand en volwasse koei gewig almal ‘n betekenisvolle (P < 0.05) invloed gehad het op BW en WW. Die moederouderdom was nie betekenisvol (P > 0.05) vir YW of 600-dag gewig nie. Die ras samestelling was ook nie betekenisvol gevind vir YW. Teler van die kalf was verantwoordelik vir die meeste variasie in BW, WW, YW asook 600-dag gewig met ‘n bydrae van 17.55%, 25.77%, 18.35% en 10.71% onderskeidelik. Tukey se veelvuldige vergelykings toets is gebruik om onderskeid te tref tussen “least square means”. Resultate het aangedui dat manlike diere swaarder weeg as vroulike diere tot en met finale gewig. Ras samestelling vir BW en WW was betekenisvol verskillend vir die diere. Kalwers met ‘n hoër Brahmaan persentasie het swaarder BW opgelewer as dié met ‘n hoër Simmentaler persentasie, terwyl kalwers met ‘n hoër Simmentaler persentasie swaarder geweeg het met speen en dus ideal is vir speen kalwer produksie stelsels. Middel-jarige moeders het swaarder kalwers geproduseer met geboorte en speen as baie jong en - ou moeders. Sommige jare waarin van die kalwers gebore is, het ook betekenisvol van mekaar verskil asook die maand waarin die kalf gebore is. Ko) variansie faktore en opeenvolgende genetiese parameters is bepaal met behulp van enkeleienskap analises asook meervuldige-eienskap analises deur middel van die “Restricted Maximum Likelihood” prosedure (Gilmour et al., 2002). Modelle is opgestel vir elk van die gewigte deur die geskikte genetiese terme toe te voeg en te toets met behulp van “Log likelihood tests” om sodoende die onderskeie genetiese parameters te bepaal. Direkte genetiese oorerflikhede bepaal deur enkeleienskap analises vir die Simbra ras was as volg, 0.56 ± 0.08 vir BW, 0.67 ± 0.09 vir WW, 0.70 ± 0.11 vir YW en 0.10 ± 0.03 vir 600-dag gewig. Die direkte maternale genetiese oorerflikhede tydens dieselfde enkel-eienskap analise vir die onderkeie gewigte was 0.24 ± 0.07 vir BW, 0.33 ± 0.06 vir WW en 0.38 ± 0.07 vir YW. Korrelasies tussen direkt genetiese en direk maternale eienskappe was sterk negatief. ‘n Waarde van -0.75 ± 0.07 is bepaal vir BW, -0.93 ± 0.07 vir WW en -0.85 ± 0.08 vir YW. ‘n Adisionele faktor was ook ingelsuit vir WW, naamlik die permanente omgewing van die moeder, wat ‘n waarde opgelewer het van 0.04 ± 0.05. Tydens die veelvuldige-eienskap analise het die oorerflikhede merkwaardig verminder vir die betrokke gewigte en kan ook waargeneem word as die meer korrekte genetiese weergawe. Direkte genetiese oorerflikhede van 0.24 ± 0.07 vir BW, 0.33 ± 0.06 vir WW en 0.38 ± 0.07 vir YW was bepaal. Hierdie matig tot hoë parameters dui op genetiese vordering deur middel van korrekte seleksie prosedures. Genetiese- en omgewing korrelasies is ook bepaal tydens die analise en het positiewe waardes opgelewer. ‘n Genetiese korrelasie waarde van 0.18 ± 0.16 tussen BW en WW is bepaal asook ‘n waarde van 0.27 ± 0.16 tussen BW en YW en ‘n waarde van 0.52 ± 0.10 tussen WW en YW. Hierdie korrelasies dui daarop dat na-speengewigte vermeerder kan word deur te selekteer vir verhoogde WW sonder om BW dramties te vermeerder. Omgewings korrelasie waardes van 0.09 ± 0.06 tussen BW en WW, 0.07 ± 0.06 tussen BW en YW asook ‘n waarde van 0.45 ± 0.05 tussen WW en YW is gevind. Genetiese neigings is bepaal vir die onderskeie gewigte deur die gemiddelde voorspelde teelwaardes aan te teken teenoor elke jaar wat bereken was tydens die enkel-eienskap analises vir die onderskeie gewigte. Groot variasie asook negatiewe tendense vir WW en YW is ondervind van jaar tot jaar en dui daarop dat die seleksie doelwitte vir lewendige gewig nie in plek gestel is nie en is dit nodig om te her evalueer.
Van, der Westhuizen Robert Rolfe. "A genetic analysis of biological and economic efficiency of post-weaning feedlot performance in beef cattle." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50249.
Full textENGLISH ABSTRACT: It is generally accepted that feed intake and growth (gain) are the most important economic components when calculating profitability in a growth test or feedlot. Feeding cost of animals is a major determinant of profitability in livestock production enterprises. Genetic selection to improve feed efficiency aims to reduce the cost of feeding in beef cattle production and thereby improve profitability. The objective of this study was to define a clear selection objective to enable South African beef breeders and especially the feedlot industry to select for post-weaning growth or feedlot performance and to identify factors influencing profitability in a feedlot environment. Because of the recording of individual feed intake and weight gain values in the South African Agricultural Research Councils' centralized growth tests, it was also possible to calculate a phenotypic value for feedlot profitability (R-value) for each bull tested in a centralized growth test. (Co)variances, using multitrait as well as random regression models, for and between feedlot profitability, weaning weight and other production, reproduction and efficiency traits were estimated. Residual feed intake (RFI) and feed conversion ratio (FCR) as efficiency traits were also compared to growth (average daily gain (ADG), weaning weight (WW) and shoulder height (SHD)), reproductive (scrotum circumference (SCR)) and profitability (feedlot profitability) traits measured in growth tests of young Bonsmara bulls. Consequently, a single post-weaning growth selection index value based on the economic and breeding values of different selection criteria related to feedlot profitability was composed. (Co)variance components, heritabilities and genetic correlations for and between initial weight (lW), final weight (FW), total feed intake (FI) and shoulder height (SHD) were estimated through the use of multitrait restricted maximum likelihood (REML) procedures. These breeding values (EBV s) were then used in a selection index to calculate a single economical value for each animal. This economical value is an indication of the gross profitability value or gross test value (GTV) of the animal in a post-weaning growth test. The heritability estimate of 0.36 for R-value, obtained from the multitrait analysis, shows that this trait is genetically inherited and that it can be selected for. The heritability for R-value obtained from the single trait random regression model varied between 0.57 and 0.62. The genetic correlations between the R-value and the other traits, obtained from the multitrait analysis, varied from negligible to high. The heritability estimated for FCR was 0.34 and for RFl 0.31 with a genetic correlation estimate of 0.75 between the traits. The estimated genetic correlation between profitability (R-value) and FCR and RFl were -0.92 and -0.59, respectively. The genetic correlation estimate of -0.92 between FCR and R-value is largely due to the part-whole relationship between these two traits. This is also shown in their genetic trends. The genetic correlations and expected correlated responses between RFl and FCR with R-value suggest that indirect selection for R-value through the direct selection for FCR and/or RFl will result in slower genetic progress in Rvalue than direct selection for R-value. However, where the R-value cannot be calculated and/or where direct selection for R-value is not possible, it would be better to select indirectly for R-value through the use of FCR rather than RF!. Consequently, a regression equation was developed (with an R2 of 0.82) to estimate a feed intake value for all performance-tested Bonsmara bulls which were group fed and whose feed intakes were unknown. These predicted feed intake values made it possible to calculate a feedlot or post-weaning growth profitability value (R-value) for all tested bulls even where individual feed intakes were unknown. Subsequently, an R-value for each bull was calculated in a favourable economic environment (FEE), an average economic environment (AEE) and in an unfavourable economic environment (VEE). The high Pearson and Spearman correlations between the EBV s based on AEE and the other two environments suggested that the average economic environment could be used to calculate EBVs for R-value or feedlot growth profitability. It is therefore not necessary to change the carcass, weaner or feed price on a regular basis to account for possible re-rankings based on R-value EBVs. Heritabilities for lW, FW, Fl and SHD were 0.41, 0.40, 0.33 and 0.51, respectively. The highest genetic correlations between these traits were the 0.78 (between lW and FW) and 0.70 (between Fl and FW). GTV values varied between -R192.l7 and R231.38, with an average of R9.31. The Pearson correlations between EBVs (for production and efficiency traits) and GTV range from -0.51 to 0.68. The lowest correlation (closest to zero) was 0.26 between the Kleiber ratio (KLB) and GTV. Correlations of 0.68 and -0.51 were estimated between average daily gain (ADG) and GTV and feed conversion ratio (FCR) and GTV, respectively. The heritabilities of the different traits included in the selection index suggest that it is possible to select for a GTV. The selection index can benefit feedlotting In selecting offspring of bulls with high GTV values to maximize profitability. The Pearson and Spearman correlations between the R-value EBVs and the index values (GTV) were very high (0.97). This high correlation of 97% indicates that it is not important which method is used to calculate a genetic post-weaning growth of feedlot profitability value. The selection index value is, however, more simplified than the feedlot profitability with less assumption. Therefore, it is recommended that the post-weaning selection index value be used as a selection objective in breeding programmes to improve post-weaning growth profitability rather than the more complex feedlot profitability value.
AFRIKAANSE OPSOMMING: 'N GENETIESE ANALIESE VAN DIE BIOLOGIESE EN EKONOMIESE DOELTREFFENTHEID VAN NASPEENSE GROEI IN VLEISBEESTE IN DIE VOERKRAAL: Dit word algemeen aanvaar dat voerinname en groei die twee ekonomies mees belangrike komponente in die berekening van 'n naspeense groei- of voerkraalwinsgewindheidswaarde is. Voerkostes is 'n bepalende faktor van winsgewindheid in enige lewendehawe boerderypraktyk. Seleksie om voerdoeltreffendheid te verbeter, verminder dus die voerkostes in vleisbeesproduksie en gevolglik 'n verhoging in die winsgewindheid. Die doelwit van die studie was om faktore te identifiseer wat 'n invloed op winsgewindheid in die voerkraaiomgewing het asook om 'n duidelike seleksiedoelwit te formuleer wat die Suid- Afrikaanse vleisbeesteiers en veral die voerkraalbedryf instaat sal kan stelom vir naspeense groeidoeltreffendheid ofvoerkraalwinsgewindheid te selekteer. As gevolg van die aantekening en rekordhouding van weeklikse individuele voennnames en gewigstoenames van alle prestasiegetoetsde bulle, in 'n gesentraliseerde groeitoets deur die Suid- Afrikaanse Landbou Navorsingsraad getoets, was dit moontlik om vir elk van hierdie bulle 'n fenotipiese voerkraalwinsgewindheidswaarde (R-waarde) te kon bereken. (Ko)variansies is vir en tussen voerkraalwinsgewindheid, speengewig en ander produksie-, reproduksie- en doeltreffendheidseienskappe bereken deur van meereienskap en ewekansige regressie modelle gebruik te maak. Twee doeltreffendheidseienskappe naamlik residuele voerinname (RFI) en voeromsetverhouding (FCR) is ook met groei (gemiddelde daaglikse toename (ADG), speengewig (WW) en skouerhoogte (SHD)), reproduksie (skrotumomvang (SCR)) en winsgewindheidseienskappe (voerkraalwinsgewindheid (R-waarde)) vergelyk, om sodoende te bepaal watter een die mees geskikte eienskap is om indirek vir voerkraalwinsgewindheid of groei, gebaseer op teeltwaardes en ekonomiese waardes vir die verskillende eienskappe, wat 'n invloed op naspeense groei winsgewindheid het, gestruktueer. (Ko)variansiekomponente, oorerflikhede en genetiese korrelasies vir en tussen begingewig (lW), eindgewig (FW), voerinname (FI) en skouerhoogte (SHD) is bereken deur van 'n meereienskap (REML) ontleding gebruik te maak. Hierdie teelwaardes (EBVs) is vervolgens in 'n seleksie-indeks gebruik om 'n enkele ekonomies of voerkraal-winsgewindheids seleksie-indekswaarde (GTV) vir elke dier te bereken. Hierdie ekonomiese waarde is 'n aanduiding van die bruto winsgewindheidswaarde ofbruto toetswaarde (GTV) van die dier in 'n naspeentoets. Die oorerflikheid, vanuit die meereienskapontleding vir R-waarde beraam, was 0.36. Hierdie oorerflikheid dui daarop dat die eienskap oorerflik is en dat dit wel moontlik is om daarvoor te selekteer. Die ooreflikhede van R-waarde, voorspel vanuit die enkeleienskap ewekansige regressieontleding varieer tussen 0.57 en 0.62. Die genetiese korrelasie tussen R-waarde en ander eienskappe, vanuit die meereienskap ontleding beraam, varieer tussen weglaatbaar klein tot hoog. Die oorerflikheid van FeR was 0.34 en van RFI 0.31 met 'n genetiese korrelasie van 0.75 tussen die twee eienskappe. Die genetiese korrelasie tussen R-waarde en FeR, en R-waarde en RFI was onderskeidelik -0.92 en -0.59. Die rede vir die hoë negatiewe genetiese korrelasie tussen R-waarde en FeR van -0.92 is omdat dieselfde komponente in die berekening van die twee eienskappe gebruik is. Dit word ook in die genetiese tendense weerspeël. Die genetiese korrelasies en verwagte gekorreleerde responsies tussen R-waarde en FeR, en tussen R-waarde en RFI dui daarop dat stadiger genetiese vordering verkry sal word in R-waarde deur direkte seleksie vir beide FeR en RFI as wat verkry sal word deur die direkte seleksie vir R-waarde. Wanneer 'n R-waarde egter nie bereken kan word nie of waar dit nie moontlik is om direk vir R-waarde te selekteer nie, sal vinniger genetiese vordering in R-waarde gemaak word deur die direkte seleksie vir FeR as vir RF!. 'n Regressievergelyking is geformuleer (met 'n R2 van 0.82) om vir alle prestasiegetoetsde bulle, waar bulle in 'n groep gevoer is en individuele voerinnames onbekend is, 'n voerinnamewaarde te voorspel. Hierdie voorspelde voerinnames maak dit moontlik om vir elke prestasiegetoetsde bul ,'n naspeengroei- of voerkraalwinswaarde (R-waarde) te bereken, al is hulle individuele voerinnames onbekend. Vervolgens is drie verskillende R-waarde vir vleisproduksie vir elke bul bereken naamlik, in 'n gunstige ekonomiese omgewing (FEE), 'n gemiddelde ekonomiese omgewing (AEE) en 'n ongunstige ekonomiese omgewing (VEE). Die hoë Pearson en Spearman korrelasies tussen die EBVs vir R-waarde, bereken in die AEE en die EBVs in die ander twee ekonomiese omgewings, dui daarop dat die AEE gebruik kan word om EBVs vir naspeense groeiof voerkraalwins te bereken. Dit is dus nie nodig om op 'n gereelde grondslag die karkasprys, lewendige speenkalfprys of die voerprys te verander nie. Oorerflikhede, vanuit die meereienskap ontledings VIr lW, FW, FI en SHD verkry, was onderskeidelik 0.41, 0.40, 0.33 en 0.51. Die hoogste genetiese korrelasies tussen die eienskappe was 0.78 tussen lW en FW en 0.70 tussen FI en FW. GTV indekswaardes varieer tussen -Rl92.17 en R231.38 met 'n gemiddelde waarde van R9.31. Die Pearson korrelasies tussen die EBVs van produksie- en doeltreffenheidseienskappe en GTV het tussen -0.51 en 0.68 gevarieer. Die korrelasie naaste aan zero, van 0.26, was die korrelasie tussen GTV en die Kleiber-verhouding. Die korrelasies tussen GTV en ADG, en GTV en FeR was onderskeidelik 0.68 en -0.51. Die oorerflikhede van die verskillende eienskappe wat in die seleksie-indeks ingesluit is, dui daarop dat die indekswaarde weloorerflik is en dat seleksie hiervoor wel moontlik is. Hierdie indekswaarde kan deur die voerkraaiindustrie gebruik word om nageslag van diere met hoë GTV waardes te selekteer om sodoende maksimum wins uit die voerkraai te genereer. Die Pearson en Spearman korrelasies tussen R-waarde EBVs en die indekswaardes (GTV) was besonder hoog (0.97). Hierdie hoë korrelasie dui daarop dat dit geen verskil sal maak watter een van die twee metodes gebruik word in die berekeninge van 'n naspeense groei- of voerkraalwinswaarde nie. Die seleksie-indeks metode is egter minder gekompliseerd met minder aannames as in die geval van die rekeningkundige fenotipiese benadering (R-waarde). As gevolg hiervan, word die naspeense seleksie-indeks waardes (GTV) aanbeveel om te gebruik as 'n teeldoelwit in telingsprogramme om naspeense groei- of voerkraaiwins geneties te verbeter, eerder as die meer gekompliseerde fenotipiese voerkraaiwins (R-waardes) metode.