Pregled bibliografske jedinice broj: 1081698
The impact of maternal inheritance on the milk production traits in Holstein cows
The impact of maternal inheritance on the milk production traits in Holstein cows // 55. hrvatski i 15. međunarodni simpozij agronoma
Vodice, Hrvatska, 2020. str. 30-30 (predavanje, domaća recenzija, prošireni sažetak, znanstveni)
CROSBI ID: 1081698 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The impact of maternal inheritance on the milk production traits in
Holstein cows
Autori
Brajkovic, Vladimir ; Špehar, Marija ; Pocrnić, Ivan ; Kaps, Miroslav ; Međugorac, Ivica ; Cubrić Curik, Vlatka ; Gorjanc, Gregor ; Curik, Ino
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Skup
55. hrvatski i 15. međunarodni simpozij agronoma
Mjesto i datum
Vodice, Hrvatska, 16.02.2020. - 21.02.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Domaća recenzija
Ključne riječi
milk production traits, mitochondrial genome, Holstein cattle, variance components, next generation sequencing (NGS)
Sažetak
The influence of the whole mitochondrial genome sequence on milk production traits (milk, fat and protein yield) was evaluated in Holstein cows. Complete mitogenomes were sequenced representing 109 maternal lineages using NGS technology. MaGelLAn 1.0 software has enabled assignment of mitogenome sequence haplotype information to 2373 cows with their production records. Here, we present quantitative genetic model that provides, in addition to additive and environmental effects, estimates of the mitogenome and sex-chromosome variance components. Age at first calving was used as covariate and was modelled as linear regression. Region (county) was included in model as fixed class effect. The estimated proportions of the phenotypic variances that were explained by mitogenome haplotypes ranged from 6% to 7% for all three milk traits. At the same time, the estimated effects of sex-chromosome loci were negligible. We have shown that for the milk production traits considerable proportion of the phenotypic variance was explained by mitogenome haplotype variation. While more general confirmation is still needed, the results obtained argue for including mitogenome effects in the estimation of quantitative genetic parameters further fostering improvement of existing breeding programs.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Ino Čurik
(autor)
Marija Špehar
(autor)
Vladimir Brajković
(autor)
Vlatka Čubrić Čurik
(autor)
Miroslav Kapš
(autor)