Longitudinal Genetic Analyses of Functional Traits in Dairy Cows Using Daily Random Regression Methodology

نویسندگان

  • B. Karacaören
  • F. Jaffrézic
  • H. N. Kadarmideen
چکیده

This study estimated heritabilities of daily observations on milk yield, milking speed, dry matter intake and live weight as well as genetic correlations among them over time using the random regression methodology. Data were from dairy cattle stationed in an experimental research farm over the past 10 years. All traits were recorded daily using automated machines. Estimated heritabilities were high, as expected from experimental farm datasets, and varied from 0.45 to 0.94 ( 2 h =0.71) for MY, 0.29 to 0.80 ( 2 h =0.55) for MS, 0.42 to 0.71 ( 2 h =0.57) for LW and, 0.23 to 0.92 ( 2 h =0.65) for DMI. Estimated genetic correlations varied from 0.16 to 0.64 between MY and MS, -0.47 to 0.29 between MY and DMI, -0.36 to 0.36 between MY and LW, -0.15 to 0.02 between MS and DMI, -0.42 to 0.03 between MS and LW and -0.89 to 0.29 between DMI and LW. Genetic correlations for MY, MS, DMI and LW at calving to middle of the lactation monotonly decreased to 0.40, 0.36, 0.14 and 0.36 and at the end of the lactation decreased to -0.06, 0.23, -0.07 and 0.09 respectively. Results could be useful when constructing selection indices for more than one trait, with an emphasis on timedependent genetic selection.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Relationship between body condition score and health traits in first-lactation Canadian Holsteins.

The objective of this research was to estimate daily genetic correlations between longitudinal body condition score (BCS) and health traits by using a random regression animal model in first-lactation Holsteins. The use of indicator traits may increase the rate of genetic progress for functional traits relative to direct selection for functional traits. Indicator traits of interest are those th...

متن کامل

Genetic Trends for Milk Yield, Persistency of Milk Yield,Somatic Cell Count and Calving Interval in Holstein Dairy Cows of Iran

The objective of the present study was to estimate genetic trends for lactation milk yield, persistency of milk yield, somatic cell count and interval between first and second calving in Holstein dairy cows of Iran. The dataset consisted of 210,625 test day and 25,883 first parity cows with milk yield recorded from July 2002 to September 2007 comprising 97 herds in Iran. Breeding values of anim...

متن کامل

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

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 ...

متن کامل

Estimation of Genetic Parameters for Milk Production Trait in Holstein Cows of the Mazandaran Gavdasht Herd Using Test Day Records

Random regression models (RRM) are used for genetic estimations of milk traits in dairy cows. RRM utilize data on traits that are repeated during the time, such as milk trait, which allows of the evaluation of the test day production information. In this study, to estimate genetic parameters for milk production trait, test day records (TDR) were collected from the first lactation of Holstein co...

متن کامل

Estimation of genetic parameters for production traits and somatic cell score in Iranian Holstein dairy cattle using random regression model

In this study test-day records of milk (kg), fat (g), and protein (g) yields, somatic cell score (SCS, cells/ML) collected by Animal Breeding Center of Iran during 2007 and 2009 were used to estimate genetic parameters using random regression model. Models with different order of Legendre polynomials were compared using Bayesian information criterion (BIC).For milk, fat yield and SCS genetic an...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005