Using Genomics to Improve the Genetic Potential and Management of Your Herd

نویسنده

  • Kent A. Weigel
چکیده

For more than half a century, progeny testing has been the foundation of genetic selection programs in dairy cattle (Robertson and Rendel, 1950). Several factors make progeny testing especially advantageous in dairy cattle, most notably widespread use of artificial insemination (AI) with frozen semen and the fact that nearly all traits of economic importance, including milk production, milk composition, female fertility, length of productive life, calving ability, disease resistance, and physical conformation, are sex-limited and cannot be measured until females begin lactating. Progeny testing has led to rapid genetic gains in production traits; estimated breeding values (EBV) of North American Holsteins have increased by roughly 90 kg of milk, 3 kg of fat, and 3 kg of protein per year over the past decade. However, genetic progress is limited by long generation intervals of approximately 7.1 and 3.9 years, respectively, for sires and dams of AI bulls (Normal et al., 2001). Furthermore, progeny testing is not a cost-effective method for improving traits that are difficult or expensive to measure routinely on commercial dairy farms, such as feed efficiency.

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

Artificial intelligence & genetics

Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. AI has application...

متن کامل

Assessment of the Genetic Diversity of Almond (Prunus dulcis) Using Microsatellite Markers and Morphological Traits

The genetic diversity among 56 almond (Prunus dulcis) genotypes was analysed using 35 microsatellite markers and 14 morphological traits. Analysis of morphological traits revealed a wide range of variation among the studied genotypes. Out of 35 simple sequence repeats (SSRs) markers, 25 were polymorphic, producing 215 alleles that varied from 2 to 16 with an average of 8.76 alleles per locus. R...

متن کامل

A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

متن کامل

Structural Equations Modeling of Hidden Genetic Constructs of Production, Reproduction and Longevity in Holstein Cows in Iran

     In structural equation modeling, it is possible to create hidden variables that cannot be directly measured by the researcher. The aim of this study was to model the structural equations of hidden genetic constructs of production, reproduction and longevity of Holstein dairy cows in Iran using breeding value of the traits that make up these constructs. Accordingly, the breeding value of th...

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

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 2015