Microwave Dielectric Response of Bovine Milk as Pregnancy Detection Tool in Dairy Cows.

Cindy Galindo, Guy Levy, Yuri Feldman, Zvi Roth, Jonathan Shalev, Chen Raz, Edo Mor, Nurit Argov-Argaman

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Cindy GalindoInstitute of Applied Physics, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.ORCID 0000-0002-9491-4801

Guy LevyInstitute of Applied Physics, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Yuri FeldmanInstitute of Applied Physics, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Zvi RothAnimal Science Department, The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.

Jonathan ShalevAnimal Science Department, The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.

Chen RazAnimal Science Department, The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.

Edo MorThe Racah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Nurit Argov-ArgamanAnimal Science Department, The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most reliable methods for pregnancy diagnosis in dairy herds include rectal palpation, ultrasound examination, and evaluation of plasma progesterone concentrations. However, these methods are expensive, labor-intensive, and invasive. Thus, there is a need to develop a practical, non-invasive, cost-effective method that can be implemented on the farm to detect pregnancy. This study suggests employing microwave dielectric spectroscopy (MDS, 0.5-40 GHz) as a method to evaluate reproduction events in dairy cows. The approach involves the integration of MDS data with information on milk solids to detect pregnancy and identify early embryonic loss in dairy cows. To test the ability to predict pregnancy according to these measurements, milk samples were collected from (i) pregnant and non-pregnant randomly selected cows, (ii) weekly from selected cows (

Indexed as

MicrowavesMilkAlgorithmsAnimalsCattleDairyingDielectric SpectroscopyFemalePregnancyPregnancy TestsPrincipal Component Analysisbovine milkmicrowave dielectric spectroscopynon-invasive pregnancy detectionwater

Identifiers

PMID38732847

DOI10.3390/s24092742

PMCPMC11086119

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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.