نتایج جستجو برای: blup

تعداد نتایج: 649  

Journal: :Kafkas Universitesi Veteriner Fakultesi Dergisi 2009

Journal: :Journal of Dairy Science 2023

The validation of estimated breeding values from single-step genomic BLUP (ssGBLUP) is an important topic, as more and countries animal populations are currently changing their prediction to single-step. objective this work was compare different methods validate (GEBV). investigations were carried out using a simulation study based on the German-Austrian-Czech Fleckvieh population. To test unde...

Journal: :Journal of Dairy Science 2021

Genomic selection methodologies and genome-wide association studies use powerful statistical procedures that correlate large amounts of high-density SNP genotypes phenotypic data. Actual 305-d milk (MY), fat (FY), protein (PY) yield data on 695 cows 76,355 genotyping-by-sequencing-generated marker from Canadian Holstein dairy were used to characterize linkage disequilibrium (LD) structure cows....

2006
Kim Bunter

Across herd genetic evaluation using BLUP procedures allows individuals from different herds to be validly compared in their relative genetic merit. The potential advantages of across herd analyses to the industry as a whole has meant that such analyses are routinely conducted in Canada and European countries. In Australia, across herd evaluations will become a major tool for small scale breede...

Journal: :تولیدات دامی 0
یحیی محمدی دانشجوی دکتری، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه فردوسی مشهد، ایران محمد مهدی شریعتی استادیار، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه فردوسی مشهد، ایران سعید زره داران استاد، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه فردوسی مشهد، ایران محمد رزم کبیر استادیار، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه کردستان، ایران محمدباقر صیادنژاد مرکز اصلاح نژآد و بهبود تولیدات دامی کشور محمدباقر زندی مرکز اصلاح نژآد و بهبود تولیدات دامی کشور

genomic selection (gs) is a tool for prediction of breeding values for quantitative traits. for a successful application of gs, accuracy of predicted genomic breeding value (gebv) is a key issue to consider. here we investigated the accuracy of gebv in 345 genotyped iranian holstein cattle. the study was performed on milk, fat, protein yield and somatic cell count. four methods g-blup, bayes b,...

2005
Ron Crump

Many traits of economic importance are controlled by a large number of genes (polygenes) acting in concert. Selection on estimated breeding values (EBVs) based on the infinitesimal model using Best Linear Unbiased Prediction (BLUP) has proven to be very effective for traits that are easily measured. The infinitesimal model assumes that there are an infinite number of genes, each having a small ...

2014
Jessica E. Rutkoski Jesse A. Poland Ravi P. Singh Julio Huerta-Espino Sridhar Bhavani Hugues Barbier Matthew N. Rouse Jean-Luc Jannink Mark E. Sorrells

Quantitative adult plant resistance (APR) to stem rust (Puccinia graminis f. sp. tritici) is an important breeding target in wheat (Triticum aestivum L.) and a potential target for genomic selection (GS). To evaluate the relative importance of known APR loci in applying GS, we characterized a set of CIMMYT germplasm at important APR loci and on a genome-wide profile using genotyping-by-sequenci...

2017
Rafael Lara Tonussi Rafael Medeiros de Oliveira Silva Ana Fabrícia Braga Magalhães Rafael Espigolan Elisa Peripolli Bianca Ferreira Olivieri Fabieli Loise Braga Feitosa Marcos Vinicíus Antunes Lemos Mariana Piatto Berton Hermenegildo Lucas Justino Chiaia Angelica Simone Cravo Pereira Raysildo Barbosa Lôbo Luiz Antônio Framartino Bezerra Cláudio de Ulhoa Magnabosco Daniela Andressa Lino Lourenço Ignácio Aguilar Fernando Baldi

The objective of this study was to investigate the application of BLUP and single step genomic BLUP (ssGBLUP) models in different scenarios of paternity uncertainty with different strategies of scaling the G matrix to match the A22 matrix, using simulated data for beef cattle. Genotypes, pedigree, and phenotypes for age at first calving (AFC) and weight at 550 days (W550) were simulated using h...

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