Crop coefficient estimated by degree-days for ‘Marandu’ palisadegrass and mixed forage

Authors

  • Débora Pantojo de Souza Universidade de São Paulo. Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ). Piracicaba. São Paulo. Brasil. https://orcid.org/0000-0001-7483-3898
  • Arthur Carniato Sanches Universidade Federal da Grande Dourados. Faculdade de Ciências Agrárias (FCA). Dourados. Mato Grosso do Sul.
  • Fernando Campos Mendonça Universidade de São Paulo. Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ). Piracicaba. São Paulo. Brasil.
  • José Ricardo Macedo Pezzopane Embrapa Pecuária Sudeste. São Carlos. São Paulo. Brasil.
  • Danielle Morais Amorim Universidade de São Paulo. Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ). Piracicaba. São Paulo. Brasil. https://orcid.org/0000-0002-0604-4165
  • Fernanda Lamede Ferreira de Jesus Universidade Federal Rural da Amazônia – UFRA. Departamento de Engenharia Agrícola. Tomé Açu. Pará. Brasil.

DOI:

https://doi.org/10.48162/rev.39.041

Keywords:

‘Marandu’ palisadegrass, evapotranspiration, water consumption

Abstract

Considering profitability in pasture-based systems, investigating parameters affecting crop coefficients for irrigation management becomes important. In this experiment, we determined the crop coefficient of ‘Marandu’ palisadegrass based on accumulated degree-days and estimated plant water consumption under single (‘Marandu’ alisadegrass) and mixed (‘Marandu’ palisadegrass + black oats + Italian ryegrass) cropping regimes. The research was conducted at the Luiz de Queiroz College of Agriculture in Piracicaba, São Paulo, Brazil, between 2016 and 2017. Evapotranspiration was assessed using weighing lysimeters while crop evapotranspiration was calculated using mean weight variation. Reference evapotranspiration and degree-days were estimated. Data were obtained from an automated weather station. Equations and regression models relating crop coefficient with accumulated degree-days were generated for two seasons (spring/summer and autumn/winter) and evaluated for two year-cycles, from 2015 to 2018. The results showed better prediction accuracy for the single cropping system in spring/summer 2017–18.

Highlights

  • The model for determinating crop coefficient (Kc) by accumulated degree-days showed efficient for use in determination local.
  • The use of the degree days for determination Kc is more vantage because only necessary to measure the air temperature (maximum and minimum).
  • The equations for determining crop coefficient by accumulated degree days for the spring/summer season in Marandu palisade grass cultive show more precision that in mixture forage system.

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Published

01-12-2021

Issue

Section

Ecophysiology and crop management