+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Technical note: Constrained optimization of breed composition in composite populations to balance net merit and risk

Technical note: Constrained optimization of breed composition in composite populations to balance net merit and risk

Journal of Animal Science 78(8): 2105-2107

We developed a method to derive optimum composite genotypes when the proportion of a specific breed (or combination of breeds) in the composite is constrained to a desired level. The method allows development of composites that balance net merit according to available parameters and reflects the production system and(or) risk preference, particularly when traits in the breeding objective do not represent all traits important for production. The method can also be used to evaluate the cost of constraining breed use. For example, when the true optimal composite is difficult to obtain in the time frame available to the producer, the predicted merit of the composite with breed proportion restricted to those that are obtainable in practice can be compared with the predicted merit of the true optimum composite. In a case study the method is used to optimize a tropical composite using Brahman, Charolais, and Belmont Red breeds. The proportion of Charolais is to be constrained to 50%. Using growth parameters from a tropical crossbreeding experiment, the unconstrained optimum composite was 32.5% Brahman, 11.1% Belmont Red, and 56.3% Charolais. When the proportion of Charolais in the composite was constrained to 50%, optimum proportions of Brahman and Belmont Red were 33.9% and 16.1% respectively. In the case study net merit (annualized profit per cow exposed, $), as defined by the growth parameters, was .2% less than that of the unconstrained optimum composite.

Please choose payment method:

(PDF emailed within 1 workday: $29.90)

Accession: 003577159

Download citation: RISBibTeXText

PMID: 10947095

Related references

Technical note: optimization of breed composition to maximize net merit of synthetic populations. Journal of Animal Science 74(7): 1477-1480, 1996

Managing uncertainties in a safety-constrained process system for solvent selection and usage an optimization approach with technical, economic, and risk factors. Clean Technologies and Environmental Policy 15(2): 213-224, 2013

Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit. Journal of Dairy Science 92(6): 2971-2975, 2009

Partially constrained ant colony optimization algorithm for the solution of constrained optimization problems: Application to storm water network design. Advances in Water Resources 30(4): 954-965, 2007

Constrained optimization for interface cracks in composite materials subject to non-penetration conditions. Journal of Engineering Mathematics 59(3): 301-321, 2007

Intracranial pressure monitoring in a resource-constrained environment: a technical note. Neurology India 51(3): 333-335, 2003

Some composite-step constrained optimization methods interpreted via the perturbed sequential quadratic programming framework. Optimization Methods and Software 30(3): 461-477, 2015

Characterization of cattle of a five breed diallel. V. Breed and heterosis effects on carcass merit. Journal of Animal Science 59(4): 922-933, 1984

Two-breed and three-breed crosses in swine: feedlot performance and carcass merit. Research Report, Agricultural Experiment Station, Oklahoma State University (MP-92): 192-196, 1974

Feedlot performance and carcass merit of 2 breed and 3 breed cross swine. Journal of Animal Science 39(1): 146, 1974

Feedlot performance and carcass merit of 2-breed and 3-breed cross pigs. Research Report, Agricultural Experiment Station, Oklahoma State University (MP-90): 159-163, 1973

A note on article Farm management optimization using chance constrained programming method. Computers and Electronics in Agriculture 90: 45-46, 2013

Mean performance of eight swine breeds and two four-breed composite populations. ARS United States Department of Agriculture Agricultural Research Service: (54) 12-14, 1986

Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications. Applied Energy 117: 11-29, 2014

A composite foraminiferal biostratigraphic sequence for the Lower Miocene deposits in the type area of the Qom Formation, central Iran, developed by constrained optimization (CONOP). Journal of African Earth Sciences 125: 214-229, 2017