Evidence map›Paper›PMID 33380920›Full record

ReviewTheScientificWorldJournal2020

How Information Communication Technology Can Enhance Evidence-Based Decisions and Farm-to-Fork Animal Traceability for Livestock Farmers.

G Mwanga, E Mbega, Z Yonah, M G G Chagunda

Open access · goldAbstract readReview
In one paragraph

Review in TheScientificWorldJournal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Italian Tracing System for Water Buffalo Milk and Processed Milk Products.Animals : an open access journal from MDPI · 2021
    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 at 2 institutions in 2 countries.

G MwangaThe Nelson Mandela African Institution of Science and Technology, Tengeru, Arusha, Tanzania.ORCID https://orcid.org/0000-0001-6497-1568
E MbegaThe Nelson Mandela African Institution of Science and Technology, Tengeru, Arusha, Tanzania.
Z YonahThe Nelson Mandela African Institution of Science and Technology, Tengeru, Arusha, Tanzania.
M G G ChagundaDepartment of Animal Breeding and Husbandry in the Tropics and Subtropics, University of Hohenheim, Garbenstr.17, 70599 Stuttgart, Germany.
Nelson Mandela African Institution of Science and Technology · TZUniversity of Hohenheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to changes in the livestock sector and the rise of consumer demand for comprehensive and integrated food security and safety, there has been a concern on the use of farm data in enhancing animal traceability and decision-making by farmers and other decision-makers in the livestock sector. To ensure high production through effective decision-making and auditable standards, producers are required to have better traceability and record systems. Therefore, this study aimed at (1) reviewing the current recording/data management and animal traceability systems used by small-scale farmers in developing countries and (2) analyzing how data management systems should be designed to enhance efficient decision-making and animal traceability from farm to fork. This study found that, still, a majority of small-scale farmers do not keep records leading to poor decision-making on the farm and policymaking. We also found that those who keep records do not store their data in electronic format, which again poses another challenge in data analysis. Moreover, this study found that the majority of traceability tools used by farmers in developing countries do not meet international standards based on tools they use for tracing animals; farmers were reported to use tools like branding and ear tagging, which provide very little information about the animal. Such tools lack the capability to keep track of useful information about an animal, e.g., information about feeding and animal health. In conclusion, this study recommended a better electronic system to be used at the farm level to facilitate data analysis, hence promoting informed decision-making and adherence to the international animal traceability standards. Otherwise, there is a need for researchers to conduct more studies in developing different analytical models for exploring on-farm data in order to improve the decision-making process by farmers and other stakeholders.

Indexed as

Animal HusbandryDecision MakingFarmersInformation TechnologyLivestockAnimalsHumansPolicy Making

Identifiers

PMID33380920
PMCPMC7759413
OpenAlexW3111734186

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.