Use of GIS for Optimizing a Collecting Mission for a Rare Wild Pepper (Capsicum flexuosum Sendtn.) in Paraguay

By A. Jarvis, K. Williams, David E. Williams, L. Guarino, P. Caballero, G. Mottram. Genetic Resources and Crop Evolution, 2005

90 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Predictive Association between Biotic Stress Traits and Eco-Geographic Data for Wheat and Barley Landraces (2011, result): “This can be compared to similar gap analysis studies with species distribution models in which the purpose is to complete the genebank collection with overall genetic diversity not yet represented in the collection (Jarvis et al., 2003, 2005, Upadhyaya et al., 2009; Ramírez-Villegas et al., 2010).”
Crop wild relatives of pigeonpea [Cajanus cajan (L.) Millsp.]: Distributions, ex situ conservation status, and potential genetic resources for abiotic stress tolerance (2015, background): “…information systems technologies, which have enabled high resolution species distribution modeling in order to inform collecting priorities (Jarvis et al., 2005), recognition of important gaps in ex situ collections (Ramírez-Villegas ptimal range and (B) minimum and maximum observed range…”
An Inventory of Crop Wild Relatives of the United States (2013, background): “, FNA, 2008a; GBIF, 2012), and increased power of distribution modeling and conservation analysis (Hijmans and Spooner, 2001; Jarvis et al., 2005; ParraQuijano et al., 2011; Ramírez-Villegas et al., 2010).”