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Chilean Journal of Agricultural Research
Instituto de Investigaciones Agropecuarias, INIA
ISSN: 0718-5820
EISSN: 0718-5839
Vol. 75, No. 4, 2015, pp. 418-424
Bioline Code: cj15056
Full paper language: English
Document type: Research Article
Document available free of charge

Chilean Journal of Agricultural Research, Vol. 75, No. 4, 2015, pp. 418-424

 en Determination of genetic coefficients of three spring wheat varieties under a Mediterranean environment applying the DSSAT model
Maldonado-Ibarra, Isaac; Rodríguez, Gabriel R. & Castillo-Rosales, Dalma

Abstract

The impact of climate change requires developing and validating models that help to project possible scenarios that must adapt to new varieties. This study seeks to validate and calibrate the Decision Support System for Agrotechnology Transfer (DSSAT) model as a tool that facilitates the characterization of the behavior of new varieties in the face of new scenarios generated by climate change. The determination of genetic coefficients of three bread wheat ( Triticum aestivum check for this species in other resources L.) varieties was considered in the methodology; this was done with the database of the historical records of the Instituto de Investigaciones Agropecuarias (INIA) Wheat Breeding Program for the 2000 to 2011 period. Once the adjustment level of the model was dealt with, it was feasible to obtain genetic coefficients of three spring wheat varieties (Pandora-INIA, Kipa- INIA, and Millán-INIA); days from planting to anthesis variable exhibited RMSE values fluctuating between 3.5 and 9.7 depending on the variety. For total duration of days to maturity, ‘Millán-INIA’ exhibited a very good adjustment (RMSE = 0.25) as compared to ‘Pandora-INIA’ (RMSE = 1.35) and ‘Kipa-INIA’ (12.22). Furthermore, the coefficient of determination of the genetic coefficients indicates that the varieties have minimum vernalization requirements; these are similar to the photoperiod between ‘Pandora-INIA’ and ‘Millán-INIA’ and lower in the case of ‘Kipa-INIA’. Thermal requirements for grain filling, biomass production, and plant height did not exhibit any important differences among varieties. Finally, the methodology allowed calibrating the DSSAT model and achieving a good predictive level of yields for the three varieties. The plant development parameters must be studied in greater detail because of the low association between simulated and observed values.

Keywords
Climate change; DSSAT model; genetic coefficients; simulation; Triticum aestivum

 
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