Net Returns from Selection under Various Component Testing Plans and Milk Pricing Schemes

Kuipers, A.; Shook, G.E.

doi:10.3168/jds.s0022-0302(80)83039-6

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…To 1Milk production is generally of greatest importance. However, other genetic traits also influence returns and may be of differing importance to different producers (Gonyon et al 1986a and1986b;Kuipers and Shook). the authors' knowledge, no studies have estimated the market values of individual heritable traits in dairy sire semen.…”

Section: The Value Of Genetic Traits In Purebred Dairy Bull Servicesmentioning

confidence: 95%

The Value of Genetic Traits in Purebred Dairy Bull Services

Schroeder¹,

Espinosa²,

Goodwin³

1992

Review of Agricultural Economics

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Section: The Value Of Genetic Traits In Purebred Dairy Bull Servicesmentioning

confidence: 95%

The Value of Genetic Traits in Purebred Dairy Bull Services

Schroeder¹,

Espinosa²,

Goodwin³

1992

Review of Agricultural Economics

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“…Also, protein is very important in human nutrition and it is used in industrial value of the milk products. In addition, Anderson et al(1978) and Kuipers and Shook (1980) reported additional genetic gain in milk yield when protein yield was included in the selection index. Ashmawy and Khalil (1990) concluded that genetic improvement for yield traits of cows might be achieved through milk traits selection based on reduced index including milk yield with either of fat or protein yield.…”

Section: Introductionmentioning

confidence: 99%

Genetic Improvement for Milk Traits of German Holsteins Through Selection Indices

El-Awady

El-Arian

Khattab

2002

Journal of Animal and Poultry Production

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Total of 20500 normal first lactation of German Friesian cows from 23 herds sired by 1003 bulls, were used to estimate the genetic and phenotypic parameters of 1st milk yield (MY), 1st fat yield (FY) and 1st protein yield (PY). Analysis was carried out using a mixed model including year and season of calving and the herd as fixed effects, age at first calving as a covariate and sires as a random effect. Least squares means were, 6096, 253 and 201, kg for MY, FY and PY, respectively. Heritability estimates were, 0.35 ± 0.02, 0.29 ± 0.02 and 0.29 ± 0.02 for the previous traits, respectively. All genetic and phenotypic correlations were positive and high (0.66 to 0.92). Four selection indices for improving milk traits were constructed including all combinations of two or three traits studied. The expected genetic change per generation ranged between 338 kg and 344 kg for MY, 4.11 kg and 10.81 kg for FY and 7.55 kg and 7.98 kg for PY. The maximum predicted genetic improvement in milk and protein yields were 344.18 kg and 7.98 kg per generation and achieved by I3, while the highest predicted genetic response for fat yield gave by I4 (10.81 kg). Index I1 which included MY, FY and PY was the best (RIH=0.66) and recommended for genetic improvement of German Friesian cows if the selection was exercised at the end of the first lactation.

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