Growth simulation of early corn landraces for specific dry land regions.
The use of crop modeling
methodology for the selection of early materials adapted to
those regions was considered in this assay. A growth analysis
of 99 early corn landraces was conducted at INIFAP.s Bajio
Experiment Station (CEBAJ) during the summer of 1997.
Using the CERES-MAIZE crop model, the genetic
coefficients were adjusted with such information. Eight
groups were identified in the 99 landraces according to the
"emergence to tasseling" and "tasselling to maturity" values
(P1 and P5). With these results, it is possible to simulate yield
potential of the landraces under different rainfed
environments using soil and historical weather information.
As an example, the genetic coefficients of the eight corn
landraces representing each group, were used to simulate
their yield potential at the northern Guanajuato region, where
corn is grown mainly under dry land conditions, (300 to 600
mm of annual precipitation). Simulation was conducted using
seasonal routine of CERES-MAIZE crop model included on
DSSATV 3.1. Eleven years of historical weather information
were used for this simulation. For this location, Landrace 36
presented the highest grain yield under both conditions. At
CEBAJ, Landrace 36 showed the lowest yield out of eight.
These results support the use of crop modeling in the
selection of genotypes for specific environments.