Data for the article: Modeling the Formulation pH of Elderberry Syrup with multiple weak acids, https://doi.org/10.1111/1750-3841.16664. To develop methods to assess the influence of the ingredients of an acidified elderberry syrup on product pH., a total of 16 model syrup formulations containing elderberry juice with mixed acids (malic, acetic, and ascorbic) and having pH values between 3 and 4 were prepared. The pH values of the formulations were compared to predicted values from combined buffer models of the individual ingredients. Regression analysis indicated an excellent fit of the observed and predicted pH data, with a root mean square error of 0.076 pH units. The results indicated that buffer models may be useful for in silico estimates of how the ingredients in acid and acidified foods may influence pH, thus aiding in product development and safety assessments.

This dataset includes soil health, crop biomass, and crop yield data for a 13-year corn stover harvest trial in central Iowa.

There is a need to validate current soil test critical levels as well as carry out calibration studies (crop response to fertilizer P at varying soil test levels). We report on a calibration experiment using an improved tropical forage, Brachiaria decumbens in a soil with soil test P in the Low category.

Alfalfa production is a key component of livestock production in Tennessee. Alfalfa has the ability to take up luxury amounts of potassium, which can lead to high plant tissue K concentrations and lower concentrations of other nutrients. The objectives of this research were to determine 1) whether Tennessee K recommendations for alfalfa were sufficient and accurate, and 2) if splitting K applications impacted alfalfa yield.