Visit our Christmas Gift Finder
Predicting Breeding Values with Applications in Forest Tree Improvement - Forestry Sciences 33 (Paperback)
  • Predicting Breeding Values with Applications in Forest Tree Improvement - Forestry Sciences 33 (Paperback)
zoom

Predicting Breeding Values with Applications in Forest Tree Improvement - Forestry Sciences 33 (Paperback)

(author), (author)
£199.99
Paperback 367 Pages / Published: 15/12/2010
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket
In most breeding programs of plant and animal species, genetic data (such as data from field progeny tests) are used to rank parents and help choose candidates for selection. In general, all selection processes first rank the candidates using some function of the observed data and then choose as the selected portion those candidates with the largest (or smallest) values of that function. To make maximum progress from selection, it is necessary to use a function of the data that results in the candidates being ranked as closely as possible to the true (but always unknown) ranking. Very often the observed data on various candidates are messy and unbalanced and this complicates the process of developing precise and accurate rankings. For example, for any given candidate, there may be data on that candidate and its siblings growing in several field tests of different ages. Also, there may be performance data on siblings, ancestors or other relatives from greenhouse, laboratory or other field tests. In addition, data on different candidates may differ drastically in terms of quality and quantity available and may come from varied relatives. Genetic improvement programs which make most effective use of these varied, messy, unbalanced and ancestral data will maximize progress from all stages of selection. In this regard, there are two analytical techniques, best linear prediction (BLP) and best linear unbiased prediction (BLUP), which are quite well-suited to predicting genetic values from a wide variety of sources, ages, qualities and quantities of data.

Publisher: Springer
ISBN: 9789048140558
Number of pages: 367
Weight: 587 g
Dimensions: 235 x 155 x 20 mm
Edition: Softcover reprint of hardcover 1st ed. 1989

You may also be interested in...

Multiaged Silviculture
Added to basket
Forests and Biodiversity
Added to basket
The UK Forestry Standard
Added to basket
Woodland Management
Added to basket
£16.99
Hardback
Forests: A Very Short Introduction
Added to basket
Managing native broadleaved woodland
Added to basket
Irreplaceable Woodlands
Added to basket
Numerical Ecology with R
Added to basket

Please sign in to write a review

Your review has been submitted successfully.