Optimal sampling strategy for estimation of spatial genetic structure in tree populations

Heredity

Volumn 95, Issue 4, 2005, Pages 281-289

  Cavers, S ^a   Degen, B ^b   Caron, H ^c   Lemes, M R ^d   Margis, R ^e,f   Salgueiro, F ^f   Lowe, A J ^g  

^a CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^b Federal Research Centre for Forestry and Forest Products   (Germany)

^c UMR 1202 BIOGECO   (France)

^d INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA   (Brazil)

^e FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^f FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^g UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Codominant; Dominant; Sampling; Spatial autocorrelation; Spatial genetic structure; Trees

Indexed keywords

MICROSATELLITE DNA;

GENETIC STRUCTURE; POPULATION GENETICS; SAMPLING; SPATIAL ANALYSIS; TREE;

ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; DEMOGRAPHY; ENVIRONMENTAL PROTECTION; GENETICS; METHODOLOGY; NUCLEIC ACID AMPLIFICATION; POPULATION GENETICS; RESEARCH; RESTRICTION FRAGMENT LENGTH POLYMORPHISM; TREE;

COMPUTER SIMULATION; CONSERVATION OF NATURAL RESOURCES; DEMOGRAPHY; GENETICS, POPULATION; MICROSATELLITE REPEATS; MODELS, GENETIC; NUCLEIC ACID AMPLIFICATION TECHNIQUES; POLYMORPHISM, RESTRICTION FRAGMENT LENGTH; RESEARCH; TREES;

EID: 25444515413     PISSN: 0018067X     EISSN: None     Source Type: Journal    
DOI: 10.1038/sj.hdy.6800709     Document Type: Article

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