+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on LinkedInFollow on LinkedIn

+ Translate

How to calculate optimum family number when starting a breeding program

How to calculate optimum family number when starting a breeding program

Forest Science 43(2): 206-212

Methods were developed to calculate the optimum number of initial unrelated families (equivalent to founders) in a breeding program, which, following selection in a predetermined way, would result in the maximum gain. The required entries were: (1) effective population size (effective family number) after selection, (2) family type (half-sib or full-sib), (3) heritability, (4) number of selections, (5) available resources, and (6) cost per additional family in the initial population. Suggestions of optimum family numbers and other characteristics of the optimum were calculated for particular examples. It seemed important to consider cost components when planning breeding programs. The optimum initial family number was far greater than the intended effective family number when the marginal cost of adding initial families was low. If this cost was high, it was worth investing more than half of any fixed resources in obtaining many families. The value of heritability appeared rather unimportant.

(PDF 0-2 workdays service: $29.90)

Accession: 003162592

Download citation: RISBibTeXText

Related references

Establishing a base population for a breeding program in aquaculture, from multinle sub opulations, differentiated by genetic drift: I. Effects of the number of subpopulations, heritability and mating strategies using optimum contribution selection. Aquaculture 274(2-4): 232-240, 2008

Possibilities of formulating a starting program for establishing an optimum plan of agricultural production. Glasnik poljoprivredne proizvodnje prerade i plasmana 27(1): 19-29, 1978

FRA; a computer program that uses a fractal methodology to calculate the volume and number of undiscovered hydrocarbon accumulations. Annual Meeting Abstracts - American Association of Petroleum Geologists and Society of Economic Paleontologists and Mineralogists 5(Pages 11, 1996

Number and size of cross progenies from a constant total number of plants manageable in a breeding program. Euphytica 28(2): 453-456, 1979

Optimum number of bull sires in dairy cattle breeding. Journal of Dairy Science 73(4): 1113-1122, 1990

The use of linear programming to calculate the optimum distribution of the annual maintenance programme and the optimum size of the maintenance facilities at agro-industrial complexes. Ikonomika na Selskoto Stopanstvo 9(4): 9-16, 1972

Optimum number of crosses and progeny per cross in breeding self-fertilizing crops. III. Economic constraints. Cereal Research Communications 34(2-3): 903-910, 2006

Starting a family the wish for a child and birth control in swiss married couples results of a representative survey 1. starting a family and the wish for a child. Gynaekologische Rundschau 23(1): 25-34, 1983

Optimum number of crosses and progeny per cross in breeding self-fertilizing crops: I. General approach and first numerical results. Euphytica 91(3): 365-374, 1996

The optimum genetic gain in artificial insemination breeding program for red and white cattle. Acta Agraria et Silvestria Series Zootechnia 10(1): 45-59, 1970

Reliability of the use of past yield data from rice breeding experiments in determining optimum plot size and replicates number. Journal of the Agricultural Association of China 0(173): 69-84, 1996

The problem of optimum levels of ploidy and the natural regulation of the number of sets of chromosomes (in relation to objectives in mulberry breeding). Poliploidiya u shelkovitsy: 113-141, 1970

Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for general combining ability. Tag. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik 114(3): 393-402, 2006