February 2020
Potato

MicroEssentials® SZ® Potato Study

Objective

Evaluate potato yield response to MicroEssentials® SZ® (12-40-0-10S-1Zn) compared to MAP (11-52-0).

Overview

  • Nitrogen (N), phosphorus (P), sulfur (S), and zinc (Zn) are key components of a potato nutrition program.

  • Season-long S availability is critical for improved chlorophyll production, carbohydrate synthesis, and ultimately yield.

  • Zinc is necessary in various enzymatic reactions and therefore influences tuber starch and protein levels.

  • MicroEssentials® SZ® contains four nutrients (N, P, S, and Zn) combined into one granule, providing uniform nutrient distribution, increased nutrient uptake, and season-long S availability.

Trial Details

Locations and Crop Management:

CROP: Potato (Solanum tuberosum)

YEARS: 2018-2019

LOCATIONS: 6 trials (MB, MN, ND)

DATA SOURCE: Field studies conducted by independent third-party researchers.

EXPERIMENTAL DESIGN: Small-plot RCBD with 4 replications.

Cultivar: Russet Burbank

CROPPING CONDITIONS:

N Rate: Followed local recommendations

P Rate: 80 lbs P₂O₅/ac applied as MAP or MicroEssentials® SZ®

K Rate: 300 lbs K₂O/ac as MOP to the entire trial

Application Method: Preplant broadcast and incorporated

Potato Study Locations and Results

Summary

  • Potatoes responded to the addition of S and Zn.

  • MicroEssentials® SZ® increased marketable yield over MAP by 30 cwt/ac.

  • These results demonstrate the benefit of higher yield from key features of uniform nutrient distribution, increased nutrient uptake, and season-long S availability.

  • For more information, visit MicroEssentials/performance.

©2020 The Mosaic Company. All rights reserved. AgriFacts, MicroEssentials, SZ, Fusion, Aspire and NutriForm are registered trademarks of The Mosaic Company.

Individual results may vary, and performance may vary from location to location and from year to year. This result may not be an indicator of results you may obtain as local growing, soil and weather conditions may vary. Growers should evaluate data from multiple locations and years whenever possible.