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A probability distribution model for age-age correlations and its application in early selection

Author
MAGNUSSEN, S
Petawawa national forestry inst., forestry Canada, Chakl River ON K0J 1J0, Canada
Source

Canadian journal of forest research (Print). = Revue canadienne de recherche forestière. 1991, Vol 21, Num 10, pp 1550-1558 ; ref : 1 p

CODEN
CJFRAR
ISSN
0045-5067
Scientific domain
Ecology; Environment; Forestry, silviculture
Publisher
National Research Council of Canada, Ottawa, ON
Publication country
Canada
Document type
Article
Language
English
Keyword (fr)
Age Arbre forestier Corrélation Distribution statistique Modèle probabiliste Pinus resinosa Précoce Prédiction Sélection dirigée Arbre forestier résineux Caractère quantitatif Coniferales Gymnospermae Spermatophyta
Keyword (en)
Age Forest tree Correlation Statistical distribution Probabilistic model Pinus resinosa Early Prediction Artificial selection Softwood forest tree Quantitative character Coniferales Gymnospermae Spermatophyta
Keyword (es)
Edad Arbol forestal Correlación Distribución estadística Modelo probabilista Pinus resinosa Precoz Predicción Selección dirigida Arbol forestal resinoso Carácter cuantitativo Coniferales Gymnospermae Spermatophyta
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A32 Agronomy. Soil science and plant productions / 002A32D Genetics and breeding of economic plants / 002A32D02 Plant breeding: fundamental aspects and methodology / 002A32D02F Breeding schemes. Varia

Discipline
Agronomy. Soil sciences and vegetal productions
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
5031718

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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