The effect of predictor variables on cherry coffee yield in two regions of the state of Veracruz, Mexico

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Lidia Ramírez Lemus
Carlos Alberto Rodríguez-Rodríguez

Keywords

predictor variables, yield, coffee, and production process.

Resumen

Objective: To analyze the effect of predictor variables (sown area, harvested area, and production) on cherry coffee yield in the Huatusco and Córdoba regions of the state of Veracruz.
Design/Methodology/Approach: A mixed and correlational method was employed with a representative trial sample of 144 cases. The existing bibliography on cultivation, processing techniques, good practices, commercialization, and yield was subject to a critical analysis.
Results: The results were statistically significant (Pearson correlation=0.983) for the “final production” and “harvested area” variables. The hypotheses were positive, confirmed, and determined to be 95% reliable. The production was 2.532 and the sown area was 0.639. The coffee yield was higher in the Huatusco region, with a value of 1.72.
Study Limitations/Implications: The study was not hindered by any limitations.
Findings/Conclusions: Innovation is of great consequence for the enhancement of coffee productivity. Technified agriculture has the potential to speed up the production process. However, further research is necessary to ensure the optimal care of these crops and to guarantee superior yields of higher quality.

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