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Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization
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Orientador(es)
Resumo(s)
The A&P approach, developed by Allen and Pereira (2009), estimates single and basal crop coefficients (Kc and
Kcb) from the observed fraction of ground cover (fc) and crop height (h). The practical application of
the A&P for several crops was reviewed and tested in a companion paper (Pereira et al., 2020). The current study
further addresses the derivation of optimal values for A&P parameter values representing canopy transparency
(ML) and stomatal adjustment (Fr), and tests the resulting model performance. Values reported in literature of ML
and Fr were analysed. Optimal ML and Fr values were derived by a numerical search that minimized the differences
between Kcb A&P with standard Kcb for vegetable, field, and fruit crops as tabulated by Pereira et al.
(2021a, 2021b) and Rallo et al. (2021). Sources for fc were literature reviews supplemented by a remote sensing
survey. Computed Kcb and Kc for mid- and end-season together with associated parameters values were tabulated.
To improve the usability of the ML and Fr parameters a cross validation was performed, which consisted of
the linear regression between Kcb computed by A&P and observed Kcb relative to independent data sets obtained
from field observations. Results show that both series of Kcb match well, with regression coefficients very close to
1.0, coefficients of determination near 1.0, and root mean square errors (RMSE) of 0.06 for the annual crops and
RMSE = 0.07 for the trees and vines. These errors represent less than 10% of most of the computed tabulated Kcb.
The tabulated Fr and ML of this paper can be regarded as defaults to support A&P field practice when observations
of fc and h are performed. Therefore, the A&P approach shows to be appropriate for use in irrigation
scheduling and planning when fc and h are observed using ground and/or remote sensing, hence supporting
irrigation water savings
Descrição
Research Paper
Palavras-chave
A&P approach basal crop coefficient fractional cover and crop height remote sensing parameters search and usability crop water and irrigation requirements
Contexto Educativo
Citação
Agricultural Water Management 252 (2021) 106663
Editora
Elsevier