Publication:
Effectiveness of genetic grouping with different strategies for estimation of genetic parameters in growth traits in merino lambs

dc.contributor.authorOral, Hülya Hanoğlu
dc.contributor.buuauthorDURU, SERDAR
dc.contributor.buuauthorAltıncekiç, Seniz Özis
dc.contributor.buuauthorÖZİŞ ALTINÇEKİÇ, ŞENİZ
dc.contributor.departmentZiraat Fakültesi
dc.contributor.orcid0000-0001-5243-4458
dc.contributor.orcid0000-0001-9044-8092
dc.contributor.orcid0000-0003-3626-9637
dc.contributor.researcheridJPL-0865-2023
dc.contributor.researcheridI-9517-2017
dc.contributor.researcheridAAG-8210-2021
dc.date.accessioned2024-09-10T08:19:23Z
dc.date.available2024-09-10T08:19:23Z
dc.date.issued2022-10-07
dc.description.abstractThe effectiveness of genetic grouping in genetic evaluations for growth traits in Merino sheep was researched in this study. In the study, 17,537 lambs born to 48 rams and 7118 ewes in 30 flocks were evaluated in animal models using REML. A model without a genetic group (GG0) was used in the analysis, as well as a model with three different genetic groups (GG). Maternal genetic and common environmental effects are included in all models. However, the models with and without covariance between direct and maternal effect were used for each trait. The Akaike Information Criterion (AIC) was used to compare models, taking into account the accuracy and Pearson and Spearman correlations between 48 rams for breeding values. Direct heritability (h2d), maternal heritability (m2) and maternal common environmental effects (c2m) were generally found to be less than 0.10. The most important source of variation was found to be flock-year-season (FYS). It is worth bearing in mind that c2FYS has a very high share of phenotypic variance in all models, ranging from 0.07 +/- 0.01-0.43 +/- 0.03. The fact that there is such a wide environmental difference between enterprises in the same region is a major issue for the improvement programme. It is necessary to intensify studies on the one hand for the expansion of small busi-nesses and on the other hand for more modern animal husbandry to achieve this. AIC found that models based on GGs were better suited for all traits. Unlike AIC, the GG0 model had the highest accuracy for rams. The accuracy of the model (GG3), in which the mothers of animals whose father was unknown were also deleted and genetically grouped for both, was found to be lower for ADG and higher for WW. Furthermore, while the average accuracy for BW decreased to 0.60 in the other genetic group (GG1: lambs born in the same year in a flock and GG2: lambs born in a flock) models, it was found to be around 0.80 for ADG and above 0.80 for WW. According to research findings, it is possible to perform a genetic evaluation without losing data, especially in pedigrees with unknown fathers.
dc.description.sponsorshipGeneral Directorate of Agricultural Research and Policies, Ministry of Agriculture and Forestry Republic of Türkiye -- TAGEM/41KBM2011-01
dc.identifier.doi10.1016/j.smallrumres.2022.106835
dc.identifier.issn0921-4488
dc.identifier.urihttps://doi.org/10.1016/j.smallrumres.2022.106835
dc.identifier.urihttps://hdl.handle.net/11452/44469
dc.identifier.volume216
dc.identifier.wos000871118400007
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherElsevier
dc.relation.journalSmall Ruminant Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectVariance-components
dc.subjectWeaning weight
dc.subjectParent groups
dc.subjectAnimal-model
dc.subjectLive weight
dc.subjectSelection
dc.subjectSheep
dc.subjectEfficiency
dc.subjectUncertain
dc.subjectMerino
dc.subjectGenetic groups
dc.subjectBirth weight
dc.subjectHeritability
dc.subjectMaternal effects
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectAgriculture, dairy & animal science
dc.subjectAgriculture
dc.titleEffectiveness of genetic grouping with different strategies for estimation of genetic parameters in growth traits in merino lambs
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentZiraat Fakültesi
relation.isAuthorOfPublicationee735fee-b7e8-4c00-b9b0-ab57071705db
relation.isAuthorOfPublicationd328434a-3b2d-48a6-aaed-c55a2e3b77e2
relation.isAuthorOfPublication.latestForDiscoveryee735fee-b7e8-4c00-b9b0-ab57071705db

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