Evidence map›Paper›PMID 37758771›Full record

ArticleScientific reports2023

Prediction of some milk production traits using udder and teat measurements with a spotlight on their genetic background in Friesian cows.

Ahmed A Saleh, Ahmed A Easa, Dalia K El-Hedainy, Amr M A Rashad

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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 1 country.

Ahmed A SalehAnimal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, 22545, Egypt.
Ahmed A EasaAnimal and Poultry Production Department, Faculty of Agriculture, Damanhour University, Damanhour, 22511, Egypt.
Dalia K El-HedainyAnimal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, 22545, Egypt.
Amr M A RashadAnimal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, 22545, Egypt. amr_rashad43@yahoo.com.ORCID http://orcid.org/0000-0002-2588-9542
Alexandria University · EGDamanhour University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aggregate udder shape (Bowl, Round, Cup), udder measurements (udder width, UW, udder front depth, UFD, udder rear depth, URD, udder levelness, ULV, udder heights, UH) and teat measurements (teat diameters, TD, front teat length, FTL, rear teat length, RTL, distance between front teats, DFT and distance between rear teats, DRT) were measured on 1300 Friesian cows located in a commercial farm under subtropical conditions (Egypt) to appraise udder and teats status and to evaluate the possible relationships with some milk production characteristics in conjunction with udder shape, age at first calving, sire and inbreeding effects on udder morphological traits and milk production ability. For such an available sample size, parity had affected (P < 0.01) UFD, TD, FTL and RTL. In addition, udder shape affected (P < 0.01) UW, UFD, URD, ULV and DFT. None of the other studied factors affected milk production traits. The bowl udder shape (P < 0.01) yielded a high total milk yield (3267.19 kg), adjusted milk yield (2443.01 kg) and lactation length (480.70 d) compared to other udder shapes. The genetic correlations of UW with total milk yield and persistency were strongly positive (0.86 and 0.93, respectively). However, strong negative genetic correlations were found between UW with peak milk yield and lactation length (- 0.92 and - 0.80, respectively), between RTL with peak milk yield (- 0.92) and DRT with persistency (- 0.79). As found from the stepwise multiple regression, UW and URD can be used as good indicators for predicting milk yield and lactation length. Additionally, this study spotlights the genetic background of udder characteristics based on reliable studies and the QTL database for cattle as a first step toward applying this knowledge side by side with phenotypic traits to improve the productivity of the Holstein breed under subtropical conditions.

Indexed as

Mammary Glands, AnimalMilkAnimalsCattleDatabases, FactualFemaleGenetic BackgroundLactationPregnancy

Identifiers

PMID37758771
PMCPMC10533887
OpenAlexW4387106255

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.