Animal Husbandry

Biology of Breeding Poultry (Poultry Science Symposium by Paul M Hocking

By Paul M Hocking

This ebook stories the organic technological know-how and history to breeding meat chicken, particularly broiler, turkey and duck. those advertisement birds were replaced through genetic choice to such an volume that they're considerably varied from conventional breeds and laying hens. overlaying technology, administration and husbandry structures, this finished textual content presents the freshest number of papers at the subject from a variety of overseas specialists.

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Light and lighting programmes were always mentioned but quite frequently misunderstood, particularly with respect to the importance of juvenile photo­ refractoriness and the need for a period of short days during early rearing. As part of an elegant study Ciacciariello and Gous (2004) (see Chapter 14) pre­ sented results which confirm that broiler breeders do not require a lighting stimulus in order to initiate ovarian activity and that, where no lighting stimulus is given, body weight or feeding level plays a critical role in stimulating the birds to attain sexual maturity.

H. R. (1960) Restricted feeding of broiler type replacement stock. Poultry Science 39, 339–346. A. M. (2007) A mechanistic, stochastic, population model of egg production. British Poultry Science 48, 224–232. L. R. (1971) A quantitative analysis of the literature concerning the restricted feeding of growing pullets. British Poultry Science 12, 413–437. R. (1986) Sex separate feeding of broiler parent stock. Zootechnica International, November 1986, pp. 54–58. Novikoff, M. and Byerly, J. (1945) Observations on two methods of feeding chickens from one day to twelve months of age.

Bovenhuis a  covariance structure of the random genetic terms is: Var  D  = C ⊗ A , where  aS     σ2  σ A A  DS  , A is the relationship matrix, and ⊗ denotes the Kronecker C= D  2  σ A σA S   DS product of matrices. 10 is a bivariate model involving the estimation of two variances, σ A and D 2 σ AS , and a single covariance, σ ADS . 10 requires special attention. 1, records of group members will be correlated for non-genetic reasons. Such non-genetic correlations between group members need to be accom­­modated in the model, to avoid biased estimates of the genetic para­ meters.

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