Estimation of genetic parameters for daily milk yields of primiparous Iranian Holstein cows

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F13%3A%230001952" target="_blank" >RIV/00027014:_____/13:#0001952 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.vuzv.cz/sites/File/_privat/13181.pdf" target="_blank" >http://www.vuzv.cz/sites/File/_privat/13181.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7482/0003-9438-56-044" target="_blank" >10.7482/0003-9438-56-044</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of genetic parameters for daily milk yields of primiparous Iranian Holstein cows

Popis výsledku v původním jazyce

Applying a multiple trait random regression (MT-RR) in national level and for whole test day records of a country is a great advance in animal breeding context. Having reliable (co) variance components is a critical step in applying multiple traits genetic evaluation especially in developing countries. Genetic parameters of milk, fat and protein yields were estimated for Iranian Holstein dairy cows. Data included 276 692 test day (TD) production traits records collected of 30 705 primiparous cows belonging to 619 sires. An animal multi-trait random regression model was employed in the analyses using the restricted maximum likelihood (REML) method. The model included herd-test-date, age-season of calving (by applying a fixed regression for each subclassof this effect) and year of calving as fixed effects and random regression (RR) coefficients for additive genetic (AG) and permanent environmental (PE) effects. Obtained results showed that daily heritabilities ranged from 0.10 to 0.21 f

Název v anglickém jazyce

Estimation of genetic parameters for daily milk yields of primiparous Iranian Holstein cows

Popis výsledku anglicky

Applying a multiple trait random regression (MT-RR) in national level and for whole test day records of a country is a great advance in animal breeding context. Having reliable (co) variance components is a critical step in applying multiple traits genetic evaluation especially in developing countries. Genetic parameters of milk, fat and protein yields were estimated for Iranian Holstein dairy cows. Data included 276 692 test day (TD) production traits records collected of 30 705 primiparous cows belonging to 619 sires. An animal multi-trait random regression model was employed in the analyses using the restricted maximum likelihood (REML) method. The model included herd-test-date, age-season of calving (by applying a fixed regression for each subclassof this effect) and year of calving as fixed effects and random regression (RR) coefficients for additive genetic (AG) and permanent environmental (PE) effects. Obtained results showed that daily heritabilities ranged from 0.10 to 0.21 f

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GI - Šlechtění a plemenářství hospodářských zvířat

OECD FORD obor

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Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Archiv fur Tierzucht-Archives of Animal Breeding 

ISSN

0003-9438

e-ISSN

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Svazek periodika

56

Číslo periodika v rámci svazku

44

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

455-466

Kód UT WoS článku

000336968600002

EID výsledku v databázi Scopus

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