Evidence map›Paper›PMID 41594483›Full record

ArticleAnimals : an open access journal from MDPI2026

Modelling Nitrogen Excretion in Dairy Cows: An Application to Farms in the Po Valley (Italy).

Valentina Caprarulo, Elena Scaglia, Anna Simonetto, Giulia Ferronato, Valeria Sergi, Laura Giagnoni, Gianni Gilioli

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Valentina CapraruloDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0000-0003-3691-4608
Elena ScagliaDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0000-0002-4225-5234
Anna SimonettoDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0000-0003-1291-5569
Giulia FerronatoDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0000-0001-9153-8540
Valeria SergiDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0009-0009-6937-7969
Laura GiagnoniDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0000-0002-2043-6261
Gianni GilioliDepartment of Civil, Environmental, Architectural Engineering and Mathematics, Università di Brescia, 25121 Brescia, Italy.ORCID 0000-0001-7672-2577

Funding

Regione Lombardia "Operazione 1.2.01 PSR - Progetto GAAP" 202001700698Regione Lombardia PSR 2014-2020 Operazione 16.2.01 - "Progetto SIGN" 202202308113
6 · The paper itself

Abstract

Effective nitrogen management in dairy cow diets is essential for optimising milk production and minimising environmental nitrogen emissions. This study develops a simplified model to estimate nitrogen excretion in dairy farms, distinguishing excretion by animal category (lactating cows, heifers, calves) and organic matrix (faeces, urine), with nitrogen intake as a key input. A comprehensive literature review guided the selection of equations for estimating nitrogen excretion based on dietary nitrogen content, dry matter intake and milk yield. The model was specifically calibrated for Holstein dairy herd in the Po Valley (Italy) context using data collected from ten Lombardy dairy farms over 30 months, focusing on diet composition and nitrogen excretion via faeces, urine, and milk. Validation against established the literature and the Nitrates Directive (91/676/EEC) excretion factors demonstrated the model's alignment in estimating nitrogen excretion. Within this context, the proposed framework may support nitrogen management at farm level by providing a practical, descriptive tool to explore nitrogen flows and to identify potential areas for improving nutrient efficiency and reducing environmental impacts.

Indexed as

dairy cowsnitrates directive compliancenitrogen balancenitrogen excretionprediction model

Identifiers

PMID41594483
PMCPMC12837298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.