Acidity Control After Surface Application of Micronized Liming Material in a Typic Distrudept Under No-Tillage

Nogaroli, Jéssica Alves; Fonseca, Adriel Ferreira da

doi:10.1590/1678-4324-2020190411

Braz. arch. biol. technol.

2020

DOI: 10.1590/1678-4324-2020190411

|View full text |Cite

Acidity Control After Surface Application of Micronized Liming Material in a Typic Distrudept Under No-Tillage

Jéssica Alves Nogaroli

Adriel Ferreira da Fonseca

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 19 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Nonlinear modeling of liming reaction and extractable base curves

Viana,

Albuquerque Filho,

Santos

et al. 2023

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

Modeling the response of soils to liming is important for understanding neutralization reactions and predicting lime residual effects. Models based on simple or quadratic polynomial equations are the most used due to their simplicity and ease of fitting; however, they fail to reproduce a realistic soil response to liming, indicating a decrease in pH as the lime dose is increased after reaching a maximum point. Thus, several nonlinear functions were tested and compared to polynomial models, using a dataset from a liming test conducted on a sandy clay loam soil in a farm. The best-fitting models for pH data were the Mitscherlich, three-parameter logistic, and Morgan-Mercer-Flodin models. The best-fitting models for exchangeable Ca+2 + Mg+2 data were Skaggs et al., Gompertz, and Morgan- Mercer-Flodin. The use of the proposed T index, which ranks models based on their residual standard error and Akaike information criterion values, combined with constraints on extrapolation values, was useful for selecting models that are statistically robust and empirically coherent.

show abstract

Nonlinear modeling of liming reaction and extractable base curves

Viana,

Albuquerque Filho,

Santos

et al. 2023

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Acidity Control After Surface Application of Micronized Liming Material in a Typic Distrudept Under No-Tillage

Cited by 1 publication

References 19 publications

Nonlinear modeling of liming reaction and extractable base curves

Nonlinear modeling of liming reaction and extractable base curves

Contact Info

Product

Resources

About