Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements

Anderson P Coelho,Romário P Gomes,Laércio S Silva,Alexandre B Dalri,Rogério T De Faria,João A Fischer Filho

doi:10.1590/1807-1929/agriambi.v24n1p52-58

Anderson P Coelho, Romário P Gomes + Show 4 more

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https://doi.org/10.1590/1807-1929/agriambi.v24n1p52-58

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Abstract

ABSTRACT Model calibration is a fundamental factor to obtain high accuracy in the estimation of crop growth and yield. This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height. Experimental field data were obtained from two years (2016 and 2017) of cultivation at FCAV/Universidade Estadual Paulista, Jaboticabal, SP, Brazil. The cultivars were maintained under supplementary irrigation, deficit irrigation and no irrigation. Data of the supplementary irrigation treatment (without stress) were used for the parameterization of each cultivar. Model accuracy was assessed by Pearson correlation (r), root mean squared error (RMSE), mean bias error (MBE), index of agreement (d) and confidence coefficient (c). The DSSAT/Canegro model is highly accurate in predicting stalk and sugar yields of sugarcane grown under water regimes, presenting itself as a viable alternative in sugarcane yield simulation. For better performance of the DSSAT/Canegro model, it is necessary to parameterize the variables related to the ecotype of the cultivars, besides the specific coefficients of the cultivars.

Highlights

Sugarcane is one of the most planted crops in the world, and Brazil is the largest producer, with 22% of the world’s production (USDA, 2017)
This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height
For better performance of the DSSAT/Canegro model, it is necessary to parameterize the variables related to the ecotype of the cultivars, besides the specific coefficients of the cultivars

Summary

Introduction

Sugarcane is one of the most planted crops in the world, and Brazil is the largest producer, with 22% of the world’s production (USDA, 2017). The expansion of the area cultivated with sugarcane in the country implies the occupation of marginal areas, especially in relation to water availability. Management tactics such as irrigation and utilization of water deficit-tolerant cultivars are the best options to overcome this problem (Graça et al, 2010). Among the various models available in the literature, the Canegro model (Singels et al, 2008), included in the software DSSAT (Hoogenboom et al, 2015), can be applied to assist the interpretation of experimental results and in long-term simulations, in order to estimate the interannual variability of yield and recommend management practices for sugarcane (Nassif et al, 2012; Hoffman et al, 2018). Since there are differences of growth among sugarcane cultivars, the accuracy of the model depends on its adequate parameterization, being performed according to each genotype

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