Abstract
Statistical methods of regression and mathematical (linear) programming are employed to combine principles of economics and genetics in a conceptual, multi-step, model of valuation for biotechnical change. The resulting model has the capacity to estimate the value of changes in specific characteristics for specific production environments, whether those changes are accomplished by traditional plant and animal breeding methods or by genetic engineering. The application of the model is illustrated with an example of commercial cow-calf production under conditions typical of the Texas Panhandle using a total of 32 breed groups.
Keywords
Biotechnical change, characteristic economic values, regression, mathematical programming
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Melton, Bbryan E.; Colette, W. Arden; and Willham, Richard L.
(1993).
"IMPUTING CHARACTERISTIC VALUES OF AGRICULTURAL "SEED-STOCK","
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1382
IMPUTING CHARACTERISTIC VALUES OF AGRICULTURAL "SEED-STOCK"
Statistical methods of regression and mathematical (linear) programming are employed to combine principles of economics and genetics in a conceptual, multi-step, model of valuation for biotechnical change. The resulting model has the capacity to estimate the value of changes in specific characteristics for specific production environments, whether those changes are accomplished by traditional plant and animal breeding methods or by genetic engineering. The application of the model is illustrated with an example of commercial cow-calf production under conditions typical of the Texas Panhandle using a total of 32 breed groups.
