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University of Limpopo (2021)

Genetic and phenotypic correlation of milk traits in Saanen goats of South Africa

Malemela, Mahlatse Justice

Titre : Genetic and phenotypic correlation of milk traits in Saanen goats of South Africa

Auteur : Malemela, Mahlatse Justice

Université de soutenance : University of Limpopo

Grade : Master of Science (MS) Animal Production 2021

Résumé partiel
Initial analysis was conducted to test significance of dam parity, litter size, birth season, birth year, kidding season and kidding age on lactation milking performance of various milk production traits and components, as well as to calculate phenotypic correlation between dam kidding age and these traits. Analysis of variance (ANOVA) was carried out using 16 407 non-pedigreed lactation records to test for non-genetic significant effects, while Pearson’s correlation coefficients were calculated using Minitab software. The second analysis included 2 960 fully pedigreed lactation records that were analysed to estimate (co) variance components and direct heritability values for milk production and component traits applying uni-variate linear analysis, as well as genetic and phenotypic correlations between them using bi-variate linear analysis. Both analyses used secondary data of all grade and registered Saanen goats participating in the official Milk Recording and Performance Testing Scheme of the Animal Improvement Institute of the Agricultural Research Council of South Africa. From ANOVA, dam parity and year of birth significantly influenced (p < 0.05) all traits investigated, with better lactation milking performances estimated in 3rd parity groups and animals born during recent years respectively. Birth season only affected (p < 0.05) MY, urea and NR with animals born during spring season yielding a better lactation milking performance. Kidding season influenced (p < 0.05) all traits except PY and urea, with highest lactation milking performance estimated in animals kidding during spring season. All traits except FY and PY were significantly influenced (p < 0.05) by litter size, with multiple litter kidding groups yielding highest, while kidding age effects were not significant (p > 0.05) on NR, SCCI and urea

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