Evidence map›Paper›PMID 40711305›Full record

ArticleVeterinary sciences2025

Economic Impact of Abortions in Dairy Cow Herds.

Osvaldo Palma, Lluís M Plà-Aragonès, Alejandro Mac Cawley, Víctor M Albornoz

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. 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

4 authors.

Osvaldo PalmaDepartment of Mathematics, Universidad de Lleida, 73 Jaume II, 25001 Lleida, Spain.ORCID 0009-0002-0352-0864
Lluís M Plà-AragonèsDepartment of Mathematics, Universidad de Lleida, 73 Jaume II, 25001 Lleida, Spain.ORCID 0000-0001-6139-0207
Alejandro Mac CawleyDepartment of Industrial and Systems Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.ORCID 0000-0002-4848-4732
Víctor M AlbornozDepartment of Industrial Engineering, Campus Santiago Vitacura, Universidad Técnica Federico Santa María, Santiago 7650568, Chile.ORCID 0000-0002-8500-1250

Funding

Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo 524RT0158
6 · The paper itself

Abstract

This study aimed to explore Markov decision methods in order to solve the problem of dairy cow replacement, adding the special characteristics of two types of abortions due to different sanitary reasons that influence the economic, production, and reproduction performance of these animals. The model was successfully validated against other models published in the literature. Python code v.3.13 was used to solve the problem and to ease future extensions with the inclusion of new variables. The results constitute tools that allow the veterinarian to explore more realistic scenarios by running a Markov simulation model that avoids the complexities leading to the problem of dimensionality in dynamic optimization models. In our study, the economic value of the herd considering RA and NLA abortions shows that the maximum net benefit is USD 178.77 per cow, and non-pregnant cows are slaughtered upon reaching six months of lactation, a value that is within the range of values reported by the literature that we have identified. At the optimum, the replacement model extended with abortion generates a difference of USD 0.69 per cow per month compared to the model that does not include the special abortion features. The changes in the net present value of each cow according to the month of culling depend on the variability of milk income and slaughter value and heifers' replacement values, suggesting that any measure that seeks to improve the economic benefit of dairy cows should take greater account of these variables.

Indexed as

abortiondairyMarkov chainmilkoptimizationreplacement

Identifiers

PMID40711305
PMCPMC12299154

What OpenQuestion holds

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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.