Now showing items 1-5 of 5
Maize production environments revisited: A GIS-based approach
This publication presents a GIS-based approach for revising the descriptions of global maize production environments, called "mega-environments" (MEs), used by CIMMYT and its partners. A cluster analysis was performed on ...
Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures
(BioMed Central, 2009)
Background: Existing algorithms and methods for forming diverse core subsets currently address either allele representativeness (breeder's preference) or allele richness (taxonomist's preference). The main objective of ...
Sample size under inverse negative binomial group testing for accuracy in parameter estimation
(Public Library of Science, 2012)
Background. The group testing method has been proposed for the detection and estimation of genetically modified plants (adventitious presence of unwanted transgenic plants, AP). For binary response variables (presence or ...
Cluster analysis, an approach to sampling variability in maize accessions
(Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per la Maiscoltura, 1996)
Cluster analysis is frequently used to classify maize (Zen mays L.) accessions and can be used by breeders and geneticists to identify subsets of accessions which have potential utility for specific breeding or genetic ...
Sampling strategies for conserving maize diversity when forming core subsets using genetic markers
(Crop Science Society of America (CSSA), 2006)
Core subsets can be formed on the basis of molecular markers and different sampling strategies. This research used genetic markers on three maize data sets for studying 24 stratified sampling strategies to investigate which ...