Table 1. Passport data of characterization and evaluation sites in Bolivia and Peru.
Site | Climate zone according to Köppen c | Longitude (dd) d | Latitude (dd) d | Altitude (m) e | Annual mean temperature (C°) e | Annual precipitation (mm) e |
---|---|---|---|---|---|---|
Peru | ||||||
Chiclayo, Lambayeque | Hot desert | -79.78 | -6.72 | 42 | 22.4 | 25 |
Pucallpa, Ucayali | Equatorial monsoon | -74.55 | -8.38 | 153 | 26.4 | 1,667 |
Huaral, Lima | Hot desert | -77.21 | -11.5 | 153 | 19.5 | 19 |
Tambo Grande, Piura | Hot desert | -80.94 | -4.91 | 19 | 23.3 | 48 |
Bolivia | ||||||
Cochabamba, Cochabamba a b | Dry cold steppe | -66.16 | -17.39 | 2,600 | 17.0 | 516 |
Mairana, Santa Cruz a | Dry hot steppe | -63.96 | -18.12 | 1,349 | 20.7 | 653 |
Monteagudo, Chuquisaca a b | Warm temperature climate, dry winter and warm summer | -63.98 | -19.82 | 1,156 | 21.6 | 864 |
Padilla, Chuquisaca a b | Warm temperature climate, dry winter and hot summer | -64.30 | -19.30 | 2,129 | 18.2 | 657 |
Santa Cruz, Santa Cruz a b | Equatorial monsoon | -63.17 | -17.80 | 428 | 24.0 | 1,244 |
a Bolivian sites where Bolivian materials from the representative subset were grown for biochemical characterization.
b Bolivian sites where promising Bolivian materials were grown for the genotype by environment (G x E) evaluation.
c Köppen climate zone defined following methods explained by Cadima et al. (2014) [57].
d Sites are georeferenced with GeoNames (www.geonames.org).
e Climate data is derived from the downscaled 2.5 minutes resolution Worldclim dataset (http://www.worldclim.org).