Resumen

BARRANTES AGUILAR, Luz Elena; GONZALEZ ESTRADA, Adrián; MARTINEZ DAMIAN, Miguel Ángel  y  VALDIVIA ALCALA, Ramón. Segmented regression models to estimate the optimal size of the experimental plot with sugar cane. Rev. Mex. Cienc. Agríc [online]. 2020, vol.11, n.8, pp.1763-1773.  Epub 13-Dic-2021. ISSN 2007-0934.  https://doi.org/10.29312/remexca.v11i8.1934.

The objective of this research was to estimate the optimal size of the experimental plot with sugar cane in the Brunca Region of Costa Rica. Segmented regression models were used with the data obtained from a uniformity test (40 rows of 84 meters long with a separation between each of 1.5 meters, for a total of 5 040 m2 of experimental area), the work of the field was conducted at the El Porvenir farm in Perez Zeledon Costa Rica, between 2018 and 2019. The coefficients of the linear regression models with constant (LRP) and quadratic regression with constant (QRP) were statistically significant. It was concluded that the optimal plot size that minimizes the experimental error for the trials established in the region, should be in the range of 72 to 93 m2.

Palabras llave : efficiency of agricultural research; minimization of experimental error; soil heterogeneity.