Naslov
The expert model for the prediction of N- mineralization dynamics

Autori
Đurđević, Boris ; Karalić, Krunoslav ; Vukadinović, Vladimir ; Lončarić, Zdenko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 16th International Symposium of the International Scientific Centre of Fertilizers (CIEC): Mineral versus organic fertilization - Conflict or Synergism? / S. de Neve et al. - Gent : CIEC, Universitet Gent, 2007, 173-178

ISBN
978-90-5989-182-1

Skup
16th International Symposium of the International Scientific Centre of Fertilizers (CIEC): Mineral versus organic fertilization - Conflict or Synergism?

Mjesto i datum
Gent, Belgija, 16.09.2007. - 19.09.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
model ; prediction ; N mineralization

Sažetak
In the development of appropriate N fertilization strategies it is important to predict accurately net N-mineralization dynamics. The expert model for the estimation of intensity of N-mineralization is a modification of the PAPRAN model (Seligman and van Keulen, 1981). The model is adapted to Microsoft Excel program so it could be used more inclusively for the estimation of the mineralization intensity. The model considers the pool of the fresh organic N (crop residues and biomasses) and stabile organic N pool (humus). Mineralization of organic matter in the soil is determined in kg· ; ; ; ; ha-1· ; ; ; ; day-1 through the vegetation of particular crop in different soil horizons. Decomposition is based on the fresh organic matter, humus content and organic fertilizer (the function of C:N:P ratio, that is C:N and C:P, type and quantity of crop residues, pH, temperature and water in the soil). The expert model turned out very useful in calculating fertilization requirement, especially nitrogenous. Mean annual N-mineralization rate was (for three years and 5805 soil samples): 60, 95 kg N ha-1 year-1. Crop residue input, soil organic matter content and soil pH significantly influenced the N-mineralization rate.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)

POVEZANOST RADA