la Fig crop yield estimation with linear regression under the conditions of the Mixteca Poblana in fertigation

Abstract

Objective: To estimate fungus yield by using linear regression in fer-tirriego under the conditions of the mixteca poblana.

Design/methodology/approach: The plants were established in 10 L. black polyethylene bags, pine sawdust was used as a substrate. The treatments consisted of 6 variations of the nutrient solution: 1.52 mgL-1 of potassium nitrate, 0.08 mlL-1 of phosphoric acid, 0.38 mgL-1 and magnesium sulfate. A completely randomized experimental design was used. Plant height, number of fruits per plant and growth rate (cm day-1) were determined. Linear regression analysis was performed with the levels of nutrient solution and orthogonal contrasts, through the statistical software SAS® On Demand for Academics.

Results: The linear model does describe the behavior of the data with an alpha of 0.01. The 60% level of the nutrient solution has a greater effect on growth and highly significant differences in the rate of increase in plant height and plant height.

Limitations on study/implications: The study includes preliminary results, which is why a longer period in data collection is considered, as well as the incorporation of variables such as yield, nitrogen, phosphorus, potassium, magnesium in plant tissue.

Findings/conclusions: The application of a linear model allows the estimation of plant growth expressed as height. At 50 days after the experiment was established, an increasing linear behavior in height is observed with respect to the levels studied. There are highly significant differences between the 60% dose in relation to the rest of the treatments.