Abstract

This study aims to model the impacts of the frequency of cuttings of Tifton 85 bermudagrass on the dynamics of evapotranspiration (ETc) and to derive crop coefficients appropriate for grass water management. Two seasons of experimentation were used with four different cutting treatments which provided field data for calibration and validation of the soil water balance model SIMDualKc for all treatments. Cuttings were performed after the cumulative growth degree days (CGDD) attained 124 °C, 248 °C and 372 °C, thus from short to very long intervals between cuttings. SIMDualKc adopts the Food and Agriculture Organization (FAO) dual Kc approach for partitioning ET into crop transpiration and soil evaporation, thus providing for an assessment of their dynamics. All treatments were irrigated to avoid water stress. Grass ETc was modelled adopting a Kcb curve to describe the ET variation for each cutting cycle, that is, using the FAO Kc curve that consists of a series of Kcb curves relative to each cutting cycle. Each individual Kcb curve consisted of three segments constructed when knowing the Kcb values at the initial, at the end of rapid growth, and at cutting, respectively Kcb ini, Kcb gro and Kcb cut. These Kcb values were first estimated using the equation relating Kcb to the density coefficient (Kd), which is computed from the fraction of ground cover (fc) and canopy height (h) at the same dates. The goodness of fit indicators relative to the calibration and validation of the SIMDualKc model were rather good, with the normalized root mean square error (RMSE) ranging from 4.0% to 6.7% of the mean available soil water. As an example, the standard Kcb values obtained after model calibration relative to the cuttings treatment with CGDD of 248 °C are: Kcb ini = 0.86, Kcb gro = 0.91 and Kcb cut = 0.96. Kcb values were smaller when the frequency of cuts was larger because h and fc were smaller, and were larger for reduced cuttings frequency since h and fc were then larger. Because the soil was wet most of the time, the soil evaporation Ke varied little but its value was small due to the combined effects of the fraction of crop cover and plant litter covering the soil. The values of Kc = Kcb+Ke also varied little due to the influence of Ke and the Kc curve obtained a form different from the Kcb curves, and a single Kc value was adopted for each cutting frequency, e.g., Kc = 0.99 for the treatment with CGDD of 248 °C. Results of the soil water balance have shown that, during the experimental periods, likely due to the effects of the El Nino Southern Oscillation (ENSO), runoff and deep percolation exceeded ETc. Moreover, the soil evaporation ratio was small: 14% in case of frequent cuttings and less for more spaced cuttings, thus with a transpiration ratio close to 90%, which indicates a very high beneficial consumptive water use, mainly when cuttings are not very frequent.

Highlights

  • The landscape of southern Brazil is characterized by the Pampa biome, which occupies 63% of theState of Rio Grande do Sul

  • The current study is a first application of the Food and Agriculture Organization (FAO) dual crop coefficient approach to assess evapotranspiration and water use of a bermudagrass, more precisely the Tifton 85

  • It was performed using two years of field data relative to three cutting treatments where intervals between cuttings were defined by cumulative growth degree days (CGDD) of 124 ◦ C, 248 ◦ C and 372 ◦ C

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Summary

Introduction

The landscape of southern Brazil is characterized by the Pampa biome, which occupies 63% of theState of Rio Grande do Sul. Assessing grass evapotranspiration and water requirements as influenced by the frequency of cuttings is required to support an upgraded management of those grasslands. Research has commonly been devoted to assessing the dynamics and abiotic driving factors of ET, mainly relative to climate influences on the processes of energy partition into latent and sensible heat Such studies often use eddy covariance and/or Bowen ratio energy balance (BREB) observations, data which are commonly used in analysis performed with the Penman–Monteith (PM) combination equation [5] and/or the Priestley–Taylor (PT) equation [6], using the canopy resistance or the PT parameter α as behavioral indicators [7,8,9].

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