Evidence map›Paper›PMID 42511153›Full record

ArticleAnimals : an open access journal from MDPI2026

Growth Performance, Milk Productivity, Productive Longevity, and Milk Composition of Mugalzhar Horses.

Maxat Toishimanov, Oralbek Alikhanov, Khamit Aubakirov, Dilaram Karibayeva, Makpal Kargaeva, Zagipa Sapakhova, Dinara Begaliyeva, Rakhim Kanat, Yuliya Tugunova, Dias Daurov and 4 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

14 authors.

Maxat ToishimanovLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.ORCID 0000-0002-6070-4574
Oralbek AlikhanovResearch Laboratory Agricultural Biotechnology, Department of Biotechnology, Auezov South Kazakhstan University, Tauke-Khan Avenue 5, Shymkent 160012, Kazakhstan.
Khamit AubakirovZhambyl Branch of the Kazakh Scientific Research Veterinary Institute, 87 Abai Avenue, Taraz 080003, Kazakhstan.
Dilaram KaribayevaTesting Center, Zhangir Khan West-Kazakhstan Agrarian Technical University, Zhangir Khan 51, Oral 090009, Kazakhstan.
Makpal KargaevaDepartment of Animal Husbandry, Veterinary Medicine and Assessment of Feed and Milk Quality, Research and Production Center for Animal Husbandry and Veterinary Medicine, Astana 010000, Kazakhstan.
Zagipa SapakhovaLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.ORCID 0000-0002-8007-5066
Dinara BegaliyevaLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.
Rakhim KanatLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.
Yuliya TugunovaLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.ORCID 0009-0006-1037-1480
Dias DaurovLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.ORCID 0000-0003-3073-4577
Ainash DaurovaLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.ORCID 0000-0001-7949-9112
Kabyl ZhambakinLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.
Malika ShamekovaLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.
Dastanbek BaimukanovLaboratory of Breeding and Biotechnology, Institute of Plant Biology and Biotechnology, Timiryazev 45, Almaty 050040, Kazakhstan.

Funding

Ministry of Agriculture of the Republic of Kazakhstan BR22887106, Application of molecular genetic methods for horse genetic resources management optimization and efficient horse breeding innovative technologies development
6 · The paper itself

Abstract

The Mugalzhar horse is an important native breed of Kazakhstan, valued for its adaptability, milk production, and meat productivity under extensive pasture-based management. This study evaluated the relationships among first-lactation milk yield, productive longevity, lifetime milk production, growth, morphometric traits, and milk composition in the Mugalzhar horse breed using data from 100 mares with complete lifetime production records, 108 adult mares and 12 stallions for morphometric evaluation, and 68 foals (35 colts and 33 fillies) for growth analysis. The study was conducted on Mugalzhar horses maintained at the "Senim" farm in the Turkestan region of Kazakhstan. Morphometric measurements of adult horses, growth dynamics of foals from birth to 18 months of age, milk productivity records, productive longevity indicators, and milk composition data were analyzed. PCA, Pearson correlation analysis, and HCA were applied to assess relationships among productive and compositional traits. Adult stallions and mares closely conformed to breed standards, with stallions exceeding mares by approximately 7.8% in live weight. Foals exhibited intensive postnatal growth, with live weight increasing 6.8-6.9-fold between birth and 18 months of age. Milk yield increased from 722.3 kg during the first lactation to 986.9 kg during the fifth lactation before declining in later lactations, whereas milk composition remained relatively stable. Moderate-to-high first-lactation milk yield groups (G3-G4) achieved the greatest lifetime milk production (24,961-25,997 kg), longest productive life (7.9-8.5 years), and highest number of completed lactations (6.6-6.9). PCA revealed two major biological gradients representing productivity and longevity, while HCA identified G3-G4 as the most favorable production cluster. Milk fat and protein concentrations were negatively associated with milk yield traits. Moderate first-lactation milk yield was associated with the greatest lifetime productivity and longest productive herd life, whereas extremely high first-lactation milk yield was not associated with superior lifetime performance. These findings suggest that first-lactation milk yield may be considered together with longevity and other functional traits in future breeding programs for Mugalzhar horses; however, the results should be interpreted in light of the observational design of the present study.

Indexed as

functional longevitygenetic resourceslactation performancelifetime productivitymare’s milkphenotypic characterizationprincipal component analysisproductive herd life

Identifiers

PMID42511153
PMCPMC13405355

What Socratic 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 Socratic graph.