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Genetic evaluation of growth of Kenya Boran cattle using random regression models

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dc.contributor.author CB Wasike, D Indetie, WS Pitchford, Julie MK Ojango, AK Kahi
dc.date.accessioned 2020-08-28T07:31:29Z
dc.date.available 2020-08-28T07:31:29Z
dc.date.issued 2007-10-01
dc.identifier.uri https://repository.maseno.ac.ke/handle/123456789/2504
dc.description.abstract Data consisting of 18 884 weight records collected from 1273 Boran cattle from birth to 24 months of age were used to estimate covariance functions and genetic parameters for growth of Boran cattle using random regression (RR) models under a situation of small herd size and inconsistent recording. The RR model fitted quadratic Legendre polynomials of age at recording for additive genetic and permanent environmental effects. Genetic variance increased from birth, reaching an asymptotic value at 455 days and was maximum at 525 days of age after which it gradually dropped. Permanent environmental variance increased throughout the trajectory. Estimates of temporary environmental variance were heterogeneous across ages. Direct heritability and permanent environmental variance as a proportion of phenotypic variance fluctuated greatly during the early ages but later stabilized at intermediate to … en_US
dc.publisher Springer Netherlands en_US
dc.subject s Beef cattle . Covariance functions. Growth . Random regression model . Parameter estimates en_US
dc.title Genetic evaluation of growth of Kenya Boran cattle using random regression models en_US
dc.type Article en_US


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