mg_v2

<p>Output from mine_gmatrix that maps random normals from 12 loci to four traits
with a covariance structure including negative and positive values 
(replicate 2)</p>

internal

Simulates individual-based models of agricultural pest management
and the evolution of pesticide resistance. Management occurs on a spatially
explicit landscape that is divided into an arbitrary number of farms that
can grow one of up to 10 crops and apply one of up to 10 pesticides. Pest
genomes are modelled in a way that allows for any number of pest traits with
an arbitrary covariance structure that is constructed using an evolutionary
algorithm in the mine_gmatrix() function. Simulations are then run using the
run_farm_sim() function. This package thereby allows for highly mechanistic
social-ecological models of the evolution of pesticide resistance under
different types of crop rotation and pesticide application regimes.

A. Bradley Duthie

resevol

Simulate Agricultural Production and Evolution of Pesticide
Resistance

Rose McKeon

Rosie Mangan

Luc Bussi&eacute;re

Matthew Tinsley

mg_v2 function

<p>A list of 8 elements used in individual-based model initialisation</p>

Format

Sample mine_gmatrix outputs — mg_v2

Sample mine_gmatrix outputs

mg_v2: Sample mine_gmatrix outputs

Description

Usage

Arguments

Format