1993
DOI: 10.1146/annurev.py.31.090193.002033
|View full text |Cite
|
Sign up to set email alerts
|

Gene Flow in Plant Pathosystems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

8
223
0
1

Year Published

1996
1996
2021
2021

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 517 publications
(232 citation statements)
references
References 54 publications
8
223
0
1
Order By: Relevance
“…The amount of genetic variation within a population indicates how rapidly a pathogen can evolve and thus provides valuable information in predicting the effectiveness of control measures such as host resistance genes or chemical control (McDermott and McDonald 1993). The main evolutionary forces that contribute to the genetic structure within and between populations are gene flow, genetic drift, reproduction/mating systems, population size, and selection.…”
Section: Introductionmentioning
confidence: 99%
“…The amount of genetic variation within a population indicates how rapidly a pathogen can evolve and thus provides valuable information in predicting the effectiveness of control measures such as host resistance genes or chemical control (McDermott and McDonald 1993). The main evolutionary forces that contribute to the genetic structure within and between populations are gene flow, genetic drift, reproduction/mating systems, population size, and selection.…”
Section: Introductionmentioning
confidence: 99%
“…Estimate of gene flow (Nm) was calculated as Nm=0.5×(1−Gst)/Gst (McDermott and McDonald 1993), where Gst is the gene differentiation. Analysis of molecular variance (AMOVA) input files were created using AMOVA-PREP version 1.01 (Miller 1998) and the analyses were made using WinAMOVA version 1.5 (Excoffier et al 1992).…”
Section: Discussionmentioning
confidence: 99%
“…Analysis of multiple locations in Popgene (Nei 1973, McDermott andMcDonald 1993) revealed a moderately high level of differentiation (G st ϭ 0.5032) (Table 3). G st values within groups were variable, although it was slightly lower between locations in newly established territory (G st ϭ 0.4194) than among locations within the historical range (G st ϭ 0.5121).…”
Section: Resultsmentioning
confidence: 99%