Work

Statistical Model for Estimating N-p-k Deposition From Precipitation in Agroecosystems of the Brazilian Semi-arid Region

Year: 2024

Type: article

Abstract: The objective of the study was to adjust a linear statistical model to estimate the input of N, P, and K, through rainfall, in agroecosystems in the Agreste region of Paraíba. The data for the parameterization of the model were obtained in a field experiment conducted in the municipality of Esperança, Paraíba, from January to December. Descriptive, inferential and probabilistic statistics were used for the methodological development of this study. The equations obtained by the linear model can be used to estimate nutrient deposition through rainfall in climatic conditions similar to those of the region under study. The need for comparative studies with other production systems practiced in the region must be highlighted, to validate the data and the model.

Source: FLORESTA

DOI: 10.5380/rf.v54i1.88992

Authors: Aldrin Martin Pérez-Marin, Fernando Moreira da Silva, Djailson Silva da Costa Júnior, Bruce Kelly da Nobrega Silva, John Elton de Brito Leite Cunha, Rômulo Simões Cezar Menezes

Institutions: Instituto Nacional do Semiárido, Universidade Federal do Rio Grande do Norte, Universidade Federal do Piauí

Language: English

Topic: Environmental and biological studies

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Clean water and sanitation

Open Access status: diamond