Evidence map›Paper›PMID 42067552›Full record

ArticleScientific reports2026

Profiles of small-scale dairy farms assessed by socioeconomic and farm management practices: a case study from Poland.

Anna Rychła, Xabier Díaz de Otálora, Federico Dragoni, Joanna Frątczak-Müller, Marek Kierończyk, Daniel Alexander Méndez, Monika Suchowska-Kisielewicz, Wilfried Winiwarter, Barbara Amon

Abstract read
In one paragraph

Article in Scientific reports, 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

9 authors.

Anna RychłaInstitute of Environmental Engineering, University of Zielona Góra, 65-417, Zielona Góra, Poland. a.rychla@iis.uz.zgora.pl.
Xabier Díaz de OtáloraInstitute of Animal Science and Technology (ICTA), Universitat Politècnica de València (UPV), Valencia, 46022, Spain.
Federico DragoniLeibniz-Institute for Agricultural Engineering and Bioeconomy (ATB), 14469, Potsdam, Germany.
Joanna Frątczak-MüllerInstitute of Sociology, University of Zielona Góra, 65-417, Zielona Góra, Poland.
Marek KierończykInstitute of Environmental Engineering, University of Zielona Góra, 65-417, Zielona Góra, Poland.
Daniel Alexander MéndezInstitute of Animal Science and Technology (ICTA), Universitat Politècnica de València (UPV), Valencia, 46022, Spain.
Monika Suchowska-KisielewiczInstitute of Environmental Engineering, University of Zielona Góra, 65-417, Zielona Góra, Poland.
Wilfried WiniwarterInstitute of Environmental Engineering, University of Zielona Góra, 65-417, Zielona Góra, Poland.
Barbara AmonInstitute of Environmental Engineering, University of Zielona Góra, 65-417, Zielona Góra, Poland.

Funding

Bundesanstalt für Landwirtschaft und Ernährung 2819ERA08ANarodowe Centrum Badań i Rozwoju SUSAN/II/MILKEY/02/2020
6 · The paper itself

Abstract

Agricultural systems vary worldwide due to location, socioeconomic conditions, and management practices. Understanding the patterns and key factors that lead to differences between farms is crucial to providing the best support for their development. In our study, we interviewed farmers who operate small-scale dairy farms (with 1-5 cows) in a major agricultural region of Poland specifically, the voivodships Małopolskie and Podkarpackie, to understand how socioeconomic factors and farm management practices shape the diversity of farm profiles, and we evaluated our results using cluster analysis. Our findings confirmed the diversity among small-scale farming systems, allowing the identification of three distinct farm profiles. One of these clusters reflects part-time farmers characterized by low agricultural incomes, another long-standing peasant or hobby farms, while the smallest cluster referred to more professionalized agricultural systems. The key factors that characterized the different farm profiles were related to animal production (i.e. grazing time), infrastructure (i.e. manure storage facilities), farm size (i.e. land area), farming practices (i.e. mineral fertiliser use) and farmer's experience. The analysis also identified various socioeconomic factors that influenced the prospects for the continuity of different farm profiles, pointing out the need to devise support policies very specifically addressing the respective needs.

Indexed as

Animal HusbandryDairyingFarmsAgricultureAnimalsCattleCluster AnalysisFarmersFemaleHumansPolandSocioeconomic FactorsCluster analysisFarm diversityGrazingManure managementMilk productionSmallholders

Identifiers

PMID42067552
PMCPMC13323369

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Registered trials

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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.