Evidence map›Paper›PMID 41021084›Full record

ArticleVeterinary research communications2025

Identification of fertility associated sperm sub-populations and development of quality control assays for cryopreserved semen in buffaloes (Bubalus bubalis).

Kishan Kumar Fataniya, Arumugam Kumaresan, Anand Kumar Yadav, John Peter Ebenezer Samuel King, Muniandy Sivaram, Thirumala Rao Talluri, Ayyasamy Manimaran, Gowdar Veerappa Vedamurthy, Sakthivel Jeyakumar, Sakshi Payasi

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Article in Veterinary research communications, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kishan Kumar FataniyaTheriogenology laboratory, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0009-0003-7687-5057
Arumugam KumaresanTheriogenology laboratory, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India. a.kumaresan@icar.org.in.ORCID http://orcid.org/0000-0002-8061-3477
Anand Kumar YadavTheriogenology laboratory, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0009-0009-7286-2324
John Peter Ebenezer Samuel KingTheriogenology laboratory, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0009-0002-0648-8505
Muniandy SivaramDairy economics, statistics and management division, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0000-0003-3520-5287
Thirumala Rao TalluriICAR-National Research centre on equines, Hisar, Haryana, India.ORCID http://orcid.org/0000-0002-4012-3545
Ayyasamy ManimaranDairy production section, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0000-0001-9063-2711
Gowdar Veerappa VedamurthyDairy production section, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0000-0002-7538-5035
Sakthivel JeyakumarDairy production section, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0000-0001-7698-4016
Sakshi PayasiDairy production section, Southern regional station of ICAR-National Dairy Research Institute, Adugodi, Bengaluru, 560030, India.ORCID http://orcid.org/0009-0007-2954-6516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fertility of buffalo bull semen is crucial to the success of buffalo breeding programs. However, traditional methods for determining semen fertility frequently fall short, resulting in inefficiencies in artificial insemination (AI). Recent advances have highlighted the importance of sperm sub-populations as critical indicators of semen fertility. Frozen semen from 30 Mehsana buffalo bulls with known field fertility was analysed for 25 sperm traits using CASA and flow cytometry. The data was utilized to phenotypically characterize the two groups of bulls and create a model to predict their fertility. Sperm progressive motility, viability, acrosome intactness, intracellular calcium status, mitochondrial membrane potential (MMP), tyrosine phosphorylation status (PTP) and DNA fragmentation index (DFI%) differed (p < 0.05) between high and low fertility bulls. The relationship of sperm progressive motility, viability, acrosomal integrity, low intracellular calcium status, high MMP and PTP positivity were significantly positive (p < 0.05), while the relationship of acrosome reacted population, high intracellular calcium status and DFI% were significantly negative (p < 0.05) with semen fertility. Principal component analysis revealed that three components explained a total of 72.66% variation in the dataset. A stepwise regression analysis revealed that the model comprising of three variables, which include DFI%, live intracellular calcium negative and live acrosome reacted population explained 70% variation (Adjusted R

Indexed as

BuffaloesCryopreservationFertilitySemen AnalysisSemen PreservationSpermatozoaAnimalsFlow CytometryMaleQuality ControlSemenSperm MotilityBuffalo bull fertilityPCAPredictive modellingSperm phenotypic traitsStepwise regression

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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.