<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd"><article xml:lang="en" dtd-version="1.3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article"><front><journal-meta><journal-id journal-id-type="issn">2615-790X</journal-id><journal-title-group><journal-title>Tropical Animal Science Journal</journal-title><abbrev-journal-title>Trop. Anim. Sci. J.</abbrev-journal-title></journal-title-group><issn pub-type="epub">2615-790X</issn><issn pub-type="ppub">2615-787X</issn><publisher><publisher-name>Faculty of Animal Science, IPB University</publisher-name><publisher-loc>Indonesia</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.5398/tasj.2026.49.2.123</article-id><title-group><article-title>Reproductive Disorders and Subsequent Fertility in Primiparous and Multiparous Holstein–Friesian Cows</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-0142-7490</contrib-id><name><surname>Syah</surname><given-names>H. A.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Susilawati</surname><given-names>T.</given-names></name><address><country>Indonesia</country><email>tsusilawati@ub.ac.id</email></address><xref ref-type="aff" rid="AFF-2"></xref><xref ref-type="corresp" rid="cor-1"></xref></contrib><contrib contrib-type="author"><name><surname>Rifa’i</surname><given-names>M.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-3"></xref></contrib><contrib contrib-type="author"><name><surname>Yekti</surname><given-names>A. P. A.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><name><surname>Isnaini</surname><given-names>N.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><name><surname>Mashudi</surname></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-4"></xref></contrib><contrib contrib-type="author"><name><surname>Susilorini</surname><given-names>T. E.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-5"></xref></contrib><contrib contrib-type="author"><name><surname>Suyadi</surname></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><name><surname>Utami</surname><given-names>P.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><name><surname>Pramudhita</surname><given-names>A. D.</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib></contrib-group><contrib-group><contrib contrib-type="editor"><name><surname>Wiryawan</surname><given-names>Prof. Dr. Komang G</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="EDITOR-AFF-1"></xref></contrib></contrib-group><aff id="AFF-1"><institution content-type="dept">Doctoral Student, Department of Animal Reproduction and Breeding, Faculty of Animal Science</institution><institution-wrap><institution>Universitas Brawijaya</institution><institution-id institution-id-type="ror">https://ror.org/01wk3d929</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="AFF-2"><institution content-type="dept">Department of Animal Reproduction and Breeding, Faculty of Animal Science</institution><institution-wrap><institution>Universitas Brawijaya</institution><institution-id institution-id-type="ror">https://ror.org/01wk3d929</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="AFF-3"><institution content-type="dept">Department of Biology, Faculty of Mathematics and Natural Sciences</institution><institution-wrap><institution>Universitas Brawijaya</institution><institution-id institution-id-type="ror">https://ror.org/01wk3d929</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="AFF-4"><institution content-type="dept">Department of Feed and Animal Nutrition, Faculty of Animal Science</institution><institution-wrap><institution>Universitas Brawijaya</institution><institution-id institution-id-type="ror">https://ror.org/01wk3d929</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="AFF-5"><institution content-type="dept">Department of Animal Production, Faculty of Animal Science</institution><institution-wrap><institution>Universitas Brawijaya</institution><institution-id institution-id-type="ror">https://ror.org/01wk3d929</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="EDITOR-AFF-1">Tropical Animal Science Journal</aff><author-notes><corresp id="cor-1">Corresponding author: T. Susilawati, Department of Animal Reproduction and Breeding, Faculty of Animal Science, Universitas Brawijaya.  Email: <email>tsusilawati@ub.ac.id</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2026-2-11" publication-format="electronic"><day>11</day><month>2</month><year>2026</year></pub-date><pub-date date-type="collection" iso-8601-date="2026-2-11" publication-format="electronic"><day>11</day><month>2</month><year>2026</year></pub-date><volume>49</volume><issue>2</issue><issue-title>Tropical Animal Science Journal</issue-title><fpage>123</fpage><history><date date-type="received" iso-8601-date="2025-9-15"><day>15</day><month>9</month><year>2025</year></date></history><permissions><copyright-statement>Copyright (c) 2026 Tropical Animal Science Journal</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>Tropical Animal Science Journal</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-sa/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by-sa/4.0/</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.Authors submitting manuscripts should understand and agree that copyright of manuscripts of the article shall be assigned/transferred to Tropical Animal Science Journal. The statement to release the copyright to Tropical Animal Science Journal is stated in Form A. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA) where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.</license-p></license></permissions><self-uri xlink:href="https://journal.ipb.ac.id/tasj/article/view/68379" xlink:title="Reproductive Disorders and Subsequent Fertility in Primiparous and Multiparous Holstein–Friesian Cows">Reproductive Disorders and Subsequent Fertility in Primiparous and Multiparous Holstein–Friesian Cows</self-uri><abstract><p>Reproductive disorders, including abortion, retained placenta, and dystocia, are significant challenges in dairy cows which can negatively affect reproductive efficiency, particularly in tropical smallholder farming systems. Therefore, this study aimed to evaluate the effects of abortion, retained placenta, and dystocia on subsequent reproductive performance in Holstein-Friesian cows and compare the effects between primiparous and multiparous animals raised under smallholder conditions. Data were collected from 415 cows, namely 40 healthy primiparous, 68 healthy multiparous, 18 primiparous and 32 multiparous with abortion, 47 primiparous and 67 multiparous with dystocia, and 71 primiparous and 72 multiparous with retained placenta. Reproductive parameters included first service conception rate (FSCR), pregnancy rate (PR), overall pregnancy rate (OPR), services per conception (S/C), days to first service (DFS), and open days (DO). Two-way binary logistic regression was applied to categorical variables, and analysis of variance (ANOVA) in a General Linear Model (GLM) was used for continuous variables. Kaplan–Meier survival analysis was performed to compare DFS and DO among disorder groups. Cows with reproductive disorders showed numerically lower FSCR, PR, and OPR, as well as higher S/C, compared with healthy counterparts, and these differences were not statistically significant (p&gt;0.05). Kaplan–Meier analysis detected shorter mean DFS and DO among affected cows despite the reduced hazard for pregnancy. Although the effects were not statistically significant, the numerical patterns suggested potential biological relevance. The results showed the importance of effective postpartum management to maintain optimal reproductive performance in smallholder dairy systems.</p></abstract><kwd-group><kwd>abortus</kwd><kwd>dairy cows</kwd><kwd>dystocia</kwd><kwd>fertility</kwd><kwd>retained placenta</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2026</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>Reproductive health is a key determinant of profitability in dairy production due to directly influencing insemination frequency and veterinary costs. Reduced fertility often demands repeated inseminations, which increase reproductive expenses and the potential of early culling in cows that fail to conceive<xref ref-type="bibr" rid="BIBR-16">(Han et al., 2024)</xref>;<xref ref-type="bibr" rid="BIBR-50">(Tadesse et al., 2022)</xref>. Reproductive failure has significant financial consequences, as the loss of pregnancy in dairy cows results in costs between US<inline-formula><tex-math id="math-1"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle 90 and US \end{document} ]]></tex-math></inline-formula>1900, depending on the gestational stage at occurs because problems that happen before mating may harm oocyte fertilization and impair subsequent development to the morula stage<xref ref-type="bibr" rid="BIBR-43">(Ribeiro et al., 2016)</xref>. Nevertheless, cows that have successfully conceived remain vulnerable to reproductive disorders that may compromise post-conception performance. Among reproductive disorders, abortion, retained placenta, and dystocia are particularly important due to their prevalence and economic impact. Abortion is defined as fetal death occurring between 42 and 260 days of gestation<xref ref-type="bibr" rid="BIBR-37">(Peter, 2000)</xref>. This death occurrence frequently exerts negative impacts on post-abortion reproductive which the pregnancy is terminated<xref ref-type="bibr" rid="BIBR-7">(Cabrera, 2014)</xref>;<xref ref-type="bibr" rid="BIBR-12">(Vries, 2006)</xref>. This required for conception<xref ref-type="bibr" rid="BIBR-28">(Mahnani et al., 2021)</xref>;<xref ref-type="bibr" rid="BIBR-52">(Wielen et al., 2025)</xref>, as well as a higher tendency of premature culling<xref ref-type="bibr" rid="BIBR-54">(Wathes et al., 2020)</xref>. Furthermore, each abortion in dairy cows is thought to cost between US<inline-formula><tex-math id="math-2"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle 868 and US \end{document} ]]></tex-math></inline-formula>1,866 in lost income. The magnitude of these losses varies according to the gestational stage and the age of the cow at the time of abortion, with the most considerable losses noted in late-term abortions of primiparous heifers experiencing their first pregnancy<xref ref-type="bibr" rid="BIBR-9">(Carrillo Parraguez et al., 2025)</xref>.</p><p>Retained placenta is defined as the persistence of all or part of the fetal membranes beyond 12 hours postpartum<xref ref-type="bibr" rid="BIBR-14">(Dervishi &amp; Ametaj, 2017)</xref>;<xref ref-type="bibr" rid="BIBR-56">(Yazlık et al., 2019)</xref>. <xref rid="BIBR-28" ref-type="bibr">(Mahnani et al., 2021)</xref> reported that retained placenta adversely affected dairy cow production and reproduction, resulting in milk yield losses of 282–295 kg per lactation, extended DO by 8–20, and economic losses ranging from US$ 350.4 to 481.2 per case. Dystocia is a reproductive disorder that causes difficulty for cows to give birth<xref ref-type="bibr" rid="BIBR-18">(Hossein-Zadeh, 2016)</xref>. <xref ref-type="bibr" rid="BIBR-22">(Kim et al., 2016)</xref> found that dystocia in Friesian cows negatively affected performance by lengthening the service period, DO, and calving interval, reducing the conception rate, and raising the number of services per conception. Each case of dystocia is estimated to initiate economic losses ranging between US<inline-formula><tex-math id="math-3"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle 116.26 and US \end{document} ]]></tex-math></inline-formula>465.04, depending on the severity of the calving problem<xref ref-type="bibr" rid="BIBR-29">(McGuirk et al., 2007)</xref>. Furthermore, the incidence of these disorders has been associated with ovarian recovery and diminished reproductive effectiveness in the ensuing breeding season.</p><p>A delayed return to ovarian activity following calving is a significant concern for prompt insemination after the voluntary waiting period in dairy cows<xref ref-type="bibr" rid="BIBR-10">(Early postpartum estrous characteristics: Unveiling their predictive potential for fertility in dairy cows, 2025)</xref>. Decreased ovarian function hinders estrus detection, prolongs the interval to initial insemination, and lowers conception rates<xref rid="BIBR-4" ref-type="bibr">(Bruinjé et al., 2023)</xref>. In addition to reproductive disorders that may occur during parturition, health interventions applied at calving have been associated with delayed postpartum ovulation<xref ref-type="bibr" rid="BIBR-8">(Carbonari et al., 2024)</xref>;<xref rid="BIBR-38" ref-type="bibr">(Pinedo et al., 2020)</xref>.</p><p>Parity influences reproductive performance after calving, and this influence is associated with the occurrence of reproductive disorders. However, most existing reports on parity and reproductive disorders are limited to prevalence-based observations. Previous studies have shown an increased risk of abortion and dystocia among primiparous cows, compared to multiparous cows<xref ref-type="bibr" rid="BIBR-11">(Amicis et al., 2018)</xref>;<xref ref-type="bibr" rid="BIBR-15">(Hohnholz et al., 2019)</xref>;<xref ref-type="bibr" rid="BIBR-55">(Yaqoob et al., 2016)</xref>, while retained placenta cases were more prevalent in multiparous cows<xref ref-type="bibr" rid="BIBR-3">(Bonneville-Hébert et al., 2011)</xref>;<xref ref-type="bibr" rid="BIBR-20">(Kamel et al., 2022)</xref>. The impact of the disorders on future reproductive performance remains insufficiently explored, particularly with respect to the role of parity. Therefore, this study aimed to assess the effects of abortion, retained placenta, and dystocia on subsequent reproductive performance in Holstein-Friesian cows, and compare the effects between primiparous and multiparous groups. Extra focus was given to examining how parity and reproductive disorders interacted to influence fertility results, with the intention to strengthen more targeted management practices in dairy production systems.</p></sec><sec><title>MATERIALS AND METHODS</title><sec><title>Data and Herds</title><p>Records from 415 intensively managed HolsteinFriesian cows reared on smallholder farms located in the tropical climates of Malang, East Java, Indonesia, were collected for data analysis. There were 108 healthy cows (n primiparous= 40, n multiparous= 68) as the control group and 307 with reproductive disorders, including abortion (n primiparous= 18, n multiparous= 32), dystocia (n primiparous= 47, n multiparous= 67), and retained placenta (n primiparous= 71, n multiparous= 73). The animals were additionally categorized into two parity classifications, namely primiparous and multiparous.</p><p>This retrospective observational study utilized reproductive and health records collected between 2020 and 2021 from smallholder dairy farms under a single cooperative. Data were obtained from farm records of cows diagnosed with reproductive disorders and their equivalent control animals under the same management system. The study area lies at an elevation of approximately 623–797 m above sea level and is characterized by a tropical climate. Average daily temperatures typically range from 22 to 25 °C, although midday values can rise to around 38 °C, while relative humidity varies between 67% and 94%. All farms selected had complete records regarding AI, rectal palpation, and disorder management. Pregnancy diagnosis was performed by veterinary staff using rectal palpation between 60 and 90 days after insemination.</p><p>Data were processed and edited using Microsoft Excel software, and this study only included cows that met the following criteria: (1) Experience of reproductive disorders between January 2020 and December 2021, (2) administration of AI after the occurrence of reproductive disorders, and (3) absence of any other reproductive disorders during the observation period. The dataset did not include cows with multiple reproductive disorders during the observation period.</p></sec><sec><title>Reproductive Management</title><p>AI at the study sites was performed following reports from farmers regarding cows in the estrus stage. Farmers identified and reported estrus symptoms to local field officers when cows showed behavioral and physiological signs of heat. AI was carried out during normal business hours (8:00 a.m. to 4:00 p.m.) with frozen sperm from genetically tested Holstein-Friesian bulls bought from the Singosari Artificial Insemination Center (AIC). All of the inseminators who did the insemination operations were certified and skilled.</p><p>Inseminators monitored a digital reporting system that kept track of each insemination service, and the record of each cow also contained a record of the service. On the 60th day after AI, the pregnancies of cows that did not show signs of estrus were checked by inseminators using rectal palpation.</p><p>In cases of reproductive disorders, farmers notified local officers, who subsequently visited the farms to conduct clinical examinations, establish diagnoses, and provide appropriate treatments. Abortion is typically characterized as fetal demise happening between 42 and 260 days of gestation<xref ref-type="bibr" rid="BIBR-37">(Peter, 2000)</xref>. In this study, cows were categorized under abortion cases when fetal loss transpired after the confirmation of pregnancy (60 days post-AI). Dystocia in dairy cows, marked by challenging or extended labor, arises from a confluence of direct (maternal and fetal) and indirect variables<xref ref-type="bibr" rid="BIBR-18">(Hossein-Zadeh, 2016)</xref>. Observed cases of dystocia were ascribed to maternal factors, including insufficient cervical dilatation, fetal macrosomia, or atypical fetal positioning. Cows with abortion or dystocia were given antibiotics to stop uterine infections, as well as multivitamins and painkillers to promote health improvement.</p><p>Retained placenta was characterized as the failure to discharge all or a portion of the fetal membranes within 12 hours post-calving<xref ref-type="bibr" rid="BIBR-56">(Yazlık et al., 2019)</xref>. Colibact boluses and antibiotics were administered to cows with retained placenta for three days in a row.</p></sec><sec><title>Definition of Variables</title><p>First service conception rate (FSCR). FSCR is the percentage of cows that become pregnant at the first insemination after calving (in healthy cows) or following a disorder<xref ref-type="bibr" rid="BIBR-17">(Hesse et al., 2017)</xref>;<xref ref-type="bibr" rid="BIBR-49">(Syah et al., 2024)</xref>. The parameter is crucial because it represents early reproductive efficiency and the ability of cows to conceive promptly following the postpartum or disorder phase. An elevated FSCR signifies enhanced reproductive efficiency by diminishing the expenses connected to multiple inseminations.</p><fig id="figure-qxvb0q" ignoredToc=""><graphic mime-subtype="jpg" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415432"><alt-text>Image</alt-text></graphic></fig><p>Pregnancy rate (PR). PR is the percentage that becomes pregnant among all cows given AI during the study period<xref ref-type="bibr" rid="BIBR-30">(Melendez et al., 2003)</xref>. This parameter is essential for providing a general overview of the success of the reproductive program at the population level, rather than being limited to the first insemination.</p><fig id="figure-wfblzv" ignoredToc=""><graphic mime-subtype="jpg" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415433"><alt-text>Image</alt-text></graphic></fig><p>Overall pregnancy rate (OPR). OPR is the percentage of inseminations that result in pregnancy out of the total inseminations performed<xref ref-type="bibr" rid="BIBR-23">(Kumaresan &amp; Srivastava, 2022)</xref>. Unlike PR, which is based on the number of individual cows, OPR is calculated based on the number of insemination events. Monitoring OPR is important as it overcomes the limitation of S/C, which only accounts for cows that became pregnant while ignoring inseminations in non-pregnant cows. Since the data in this study were collected over a two-year period, a single cow might have conceived more than once.</p><fig id="figure-719q79" ignoredToc=""><graphic xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415434" mime-subtype="jpg" mimetype="image"><alt-text>Image</alt-text></graphic></fig><p>Days to first service (DFS). In this study, DFS is defined as the number of days from a reproductive disorder occurrence to the first service, with day 0 set as the time of the disorder<xref rid="BIBR-35" ref-type="bibr">(Nyabinwa et al., 2020)</xref>. This parameter is used to assess the recovery rate of cows until the first insemination after experiencing the disorder.</p><p>Days open (DO). DO is defined as the number of days from the occurrence of a reproductive disorder (day 0) until conception is achieved<xref ref-type="bibr" rid="BIBR-51">(Temesgen et al., 2022)</xref>.</p><p>Service per conception (S/C). S/C is defined as the average number of inseminations required to achieve pregnancy <xref rid="BIBR-44" ref-type="bibr">(Ryan et al., 2020)</xref>. A lower S/C value represents higher reproductive efficiency in cows, as fewer inseminations are needed to establish conception<xref ref-type="bibr" rid="BIBR-1">(Akbarinejad et al., 2017)</xref>. However, this parameter only applies to pregnant cows, which is a limitation as nonpregnant cows are excluded from the calculation.</p><fig id="figure-zf06va" ignoredToc=""><graphic mime-subtype="jpg" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415435"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>Ethical Approval</title><p>This study was based solely on reproductive records collected between 2020 and 2021 and excluded experimental manipulation, invasive methods, or direct physical interaction with the animals, leading to no requirement for formal ethical approval by considering institutional and national guidelines. All participating farms were members of a licensed dairy cooperative operating under veterinary supervision and complied with established standards for animal health and welfare. AI procedures were carried out by trained and certified personnel, with care taken to minimize stress and ensure proper handling of the cows throughout the process.</p></sec><sec><title>Statistical Analysis</title><p>The effects of reproductive disorders (group) and parity (primiparous vs. multiparous) were assessed on the reproductive performance of dairy cows. The results included binary variables (FSCR, PR, and OPR) and continuous variables (DFS, DO, and SC).</p><p>Binary logistic regression model (GLM with a logit link and binomial variance) was used to estimate the probability of successful binary results for variables such as FSCR, PR, and OPR. The model was:</p><fig id="figure-rnywl3" ignoredToc=""><graphic mime-subtype="jpg" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415436"><alt-text>Image</alt-text></graphic></fig><p>where p is the probability of success (e.g., FSCR = 1, PR = 1, or OPR = 1), β0 represents the intercept, and β1-β3 are coefficients for group, parity, and the interaction. Factor significance was assessed through analysis of deviance (likelihood-ratio χ2 tests). Predicted probabilities for each group × parity combination were derived using emmeans with type = “response” and appropriate multiplicity adjustment.</p><p>To obtain continuous results for the variables, data were analyzed using two-way ANOVA in GLM to estimate the main effects of group and parity and the interaction. The model was:</p><p>Yijk= m + Gi + Pj + (G x P)ij + eijk</p><p>where Yijk denotes DFS, DO, or SC for the k-th cow in the i-th group and j-th parity class; μ is the overall mean; Gi and Pj are fixed effects of group and parity; (G x P)ij represents the interaction; and eijk ~ N(0,σ2) signifies the residual error. Model assumptions (normality and homoscedasticity) were evaluated using residual diagnostics, and data transformations or robust variance procedures were applied as needed. Predicted means and post-hoc comparisons were obtained with emmeans, and Tukey adjustment was conducted where appropriate.</p><p>Kaplan–Meier survival analysis was used to analyze and visualize the interval from calving or the onset of the reproductive disorders to first insemination (DFS) and the first confirmed conception (DO). In this analysis, comparisons were made across reproductivedisorder groups without differentiating parity status.</p><p>All analyses were conducted in R version 4.4.1 (R Core Team, Vienna, Austria), which was used to apply linear models through lm() and logistic models through glm(family = binomial). The lme4, lmerTest, and emmeans packages were used for modeling and inference, while statistical significance was declared at α = 0.05.</p></sec></sec><sec><title>RESULTS</title><sec><title>First Service Conception Rate, Pregnancy Rate, and Overall Perganancy Rate</title><p>Logistic regression models showed no significant effects of group, parity, or the interaction on FSCR (χ²(3) = 3.59, p = 0.310; χ²(1) = 0.540, p = 0.540; χ²(3) = 3.04, p = 0.385), PR (χ²(3) = 5.75, p = 0.125; χ²(1) = 0.74, p = 0.391; χ²(3) = 1.69, p = 0.640), and OPR (χ²(3) = 2.75, p = 0.431; χ²(1) = 0.57, p = 0.449; χ²(3) = 0.59, p = 0.899). Modelbased estimates (emmeans with 95% CIs) for each group × parity combination are provided in <xref ref-type="table" rid="table-2">Table 1</xref> and visualized as bar plots with 95% CIs in <xref ref-type="fig" rid="figure-4">Figures 1A–C</xref>. The extensive overlap of the CIs corroborates the absence of statistically meaningful differences across groups or parities. Descriptively, FSCR was highest in healthy– multiparous cows (0.28; CI 95% = 0.19–0.40) and lowest in retained placenta–multiparous cows (0.13; CI 95% = 0.07–0.22). PR tended to be highest in healthy cows (0.68; CI 95% = 0.52–0.80 and 0.65; CI 95% = 0.53–0.75) and lower in the disorder groups, with OPR following a similar pattern (0.21; CI 95% = 0.15-0.29 in healthy cows).</p><table-wrap id="table-2" ignoredToc=""><label>Table 1</label><caption><p>          Post-disorder pregnancy metrics (first service conception rate, pregnancy rate, and overall pregnancy rate) by group and parity in Holstein–Friesian cows (model-based proportions, 95% CI)</p></caption><table frame="box" rules="all"><thead><tr><th align="center" colspan="1" rowspan="2" valign="middle">Trait</th><th rowspan="2" valign="middle" align="center" colspan="1">Parity</th><th valign="top" align="left" colspan="3">Post-disorder reproductive metrics</th></tr><tr><th align="center" colspan="1" valign="top">FSCR</th><th align="center" colspan="1" valign="top">PR</th><th align="center" colspan="1" valign="top">OPR</th></tr></thead><tbody><tr><td valign="top" align="center" colspan="1">Healthy</td><td align="center" colspan="1" valign="top">primapara</td><td valign="top" align="center" colspan="1">0.15 (0.07–0.30)</td><td colspan="1" valign="top" align="center">0.68 (0.52–0.80)</td><td valign="top" align="center" colspan="1">0.21 (0.15-0.29)</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">multipara</td><td valign="top" align="center" colspan="1">0.28 (0.19–0.40)</td><td valign="top" align="center" colspan="1">0.65 (0.53–0.75)</td><td align="center" colspan="1" valign="top">0.21 (0.16–0.28)</td></tr><tr><td valign="top" align="center" colspan="1">Abortion</td><td valign="top" align="center" colspan="1">primapara</td><td valign="top" align="center" colspan="1">0.11 (0.03–0.35)</td><td colspan="1" valign="top" align="center">0.44 (0.24–0.67)</td><td valign="top" align="center" colspan="1">0.13 (0.07–0.24)</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">multipara</td><td align="center" colspan="1" valign="top">0.19 (0.09–0.36)</td><td valign="top" align="center" colspan="1">0.59 (0.42–0.75)</td><td valign="top" align="center" colspan="1">0.19 (0.12–0.28)</td></tr><tr><td align="center" colspan="1" valign="top">Retained placenta</td><td colspan="1" valign="top" align="center">primapara</td><td valign="top" align="center" colspan="1">0.19 (0.10–0.33)</td><td align="center" colspan="1" valign="top">0.49 (0.35–0.63)</td><td valign="top" align="center" colspan="1">0.17 (0.12–0.24)</td></tr><tr><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">multipara</td><td align="center" colspan="1" valign="top">0.16 (0.09–0.27)</td><td align="center" colspan="1" valign="top">0.60 (0.48–0.71)</td><td valign="top" align="center" colspan="1">0.19 (0.14–0.25)</td></tr><tr><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center">0.15 (0.09–0.26)</td><td valign="top" align="center" colspan="1">0.51 (0.39–0.62)</td><td align="center" colspan="1" valign="top">0.16 (0.12–0.22)</td></tr><tr><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center"></td><td valign="top" align="center" colspan="1">0.13 (0.07–0.22)</td><td align="center" colspan="1" valign="top">0.51 (0.40–0.63)</td><td align="center" colspan="1" valign="top">0.18 (0.13–0.23)</td></tr><tr><td valign="top" align="center" colspan="1">P (group)</td><td align="center" colspan="1" valign="top"></td><td colspan="1" valign="top" align="center">0.31</td><td align="center" colspan="1" valign="top">0.31</td><td align="center" colspan="1" valign="top">0.31</td></tr><tr><td valign="top" align="center" colspan="1">P (parity)</td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">0.54</td><td align="center" colspan="1" valign="top">0.54</td><td align="center" colspan="1" valign="top">0.54</td></tr><tr><td align="center" colspan="1" valign="top">P (group × parity)</td><td valign="top" align="center" colspan="1"></td><td colspan="1" valign="top" align="center">0.38</td><td valign="top" align="center" colspan="1">0.64</td><td valign="top" align="center" colspan="1">0.89</td></tr></tbody></table><table-wrap-foot><p>Note: FSCR, first service conception rate; PR, pregnancy rate; OPR, overall pregnancy rate. Healthy–P (n=40), healthy–M (n=68), abortion–P (n=18), abortion–M (n=32), distocya–P (n=47), distocya–M (n=67), retained placenta–P (n=71), retained placenta–M (n=72)</p></table-wrap-foot></table-wrap><fig ignoredToc="" id="figure-4"><label>Figure 1</label><caption><p>Pregnancy results by group in Holstein–Friesian cows (model-based proportions, 95% CI): (A) first-service conception rate, (B) pregnancy rate, and (C) overall pregnancy rate.</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415437"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>Days to First Service, Days Open, and Service per Conception</title><p>Kaplan–Meier analysis showed that reproductive perfomance in healthy cows was not consistently superior to the observations in counterparts experiencing reproductive disorders. As shown in <xref ref-type="fig" rid="figure-3">Figure 2</xref>, cows in the abortion group received first insemination earlier than those in other groups, while healthy cows had a longer mean interval to first service. The retained placenta and dystocia groups had relatively similar survival curves, both showing a slower decline compared with the abortion group.</p><fig id="figure-3" ignoredToc=""><label>Figure 2s</label><caption><p>Kaplan–Meier survival curves were constructed to evaluate the time to first service (either following parturition or reproductive disorder) up to 150 days postpartum in 415 Holstein–Friesian cows. The cows were classified as healthy (n = 108), cows that expe-rienced  abortion  (n  =  50),  cows  with  dystocia  (n  =  114), and cows with retained placenta (n = 143). The mean DFS was 86.8 days (range: 19–149) for healthy cows, 61 days (22–149) for cows with abortion, 80.4 days  (26–150)  for  cows  with  retained  placenta,  and  76.5  days  (23–150)  for  cows  with  dystocia.  Note:  = healthy;  = retained placenta;  = abortion;  = dystocia</p></caption><graphic xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415438" mime-subtype="png" mimetype="image"><alt-text>Image</alt-text></graphic></fig><p>Kaplan–Meier analysis up to 500 days postpartum <xref ref-type="fig" rid="figure-2">Figure 3</xref> found that cows in the Abortion (HR = 0.79; 95% CI, 0.51–1.23; p = 0.29), Retained placenta (HR = 0.71; 95% CI, 0.51–0.98; p = 0.04), and Dystocia (HR = 0.80; 95% CI, 0.57–1.13; p = 0.21) groups had HR below 1,   signifying   a   lower   instantaneous   probability   of   achieving first pregnancy compared with healthy cows (reference  group).  However,  the  mean  DO  were  shorter  in   cows   with   abortion   (16.2   days   earlier),   retained   placenta  (12.5  days  earlier),  and  dystocia  (18.8  days  earlier) than in healthy cows.</p><fig id="figure-2" ignoredToc=""><label>Figure 3</label><caption><p>Kaplan–Meier  survival  curves  were  generated  to evaluate   the   time   from   calving   or   reproductive   disorders  to  the  first  pregnancy  up  to  500  days postpartum in 234 Holstein–Friesian cows. Values shown   as   n/N   show   the   number   of   cows   that   conceived  during  follow-up  (events)  over  the  total  enrolled  per  group.  The  mean  days  to  pregnancy  were:   healthy   (n=71/108)   =   179.5   days,   abortion   (n=27/50) = 163.3 days, dystocia (n=73/114) = 160.7 days, and retained placenta (n=63/143) = 167 days. Using  the  healthy  group  as  the  reference  category,  the hazard ratio (HR) for cows with abortion was 0.79 (95% CI: 0.51–1.23, p = 0.29), for cows with retained placenta was 0.71 (95% CI: 0.51–0.98, p = 0.04), and for cows with dystocia was 0.80 (95% CI: 0.57–1.13, p = 0.21). Note:  = healthy;  = retained placenta; = abortion;  = dystocia.</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415439"><alt-text>Image</alt-text></graphic></fig><p>Two-way ANOVA showed significant main effects of group on DFS (F(3, 407) = 7.37, p &lt; 0.01), while parity and the group × parity interaction were not significant (p&gt;0.05).   In   multiparous   cows,   DFS   was   longer   in   healthy than abortion (+32.12 days, 95% CI 14.01 - 50.23) and dystocia subjects (+18.36 days, 95% CI 3.82 - 32.91). Retained placenta subjects experienced longer DFS than those with abortion (+24.64 days, 95% CI = 6.69 - 42.59), and all primiparous comparisons were not significant. This pattern is consistent with the DFS plot in  <xref ref-type="fig" rid="figure-1">Figure 4</xref>, while  model-based  means  and  95%  CI  are  presented  in <xref ref-type="table" rid="table-1"> Table 2</xref>. </p><p>Significant associations were not found between healthy and reproductive disorder cows (p&gt;0.05) for group, parity, or the interaction in relation to DO (p-value of group = 0.76; p parity = 0.37; p group × parity = 0.94). However, cows with reproductive disorders tended to have shorter DO values (152.70–177.65 days) compared to healthy counterparts (172.74–183.59 days). There were no significant differences in S/C among groups, parity, or the interaction (p group = 0.31; p parity = 0.94; p group × parity = 0.91). Descriptively, healthy cows had the lowest S/C values (2.35–2.53) compared to those with reproductive disorders(2.77–3.05).</p><fig id="figure-1" ignoredToc=""><label>Figure 4</label><caption><p>Boxplots of continuous reproductive results by group in Holstein–Friesian cows. (A) Days to first service, (B) open days, (C) services per conception. Bold line = median, box = IQR, whiskers = 1.5×IQR, diamonds = mean; dots are individual cows.</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/68379/version/48801/33986/415440"><alt-text>Image</alt-text></graphic></fig><table-wrap id="table-1" ignoredToc=""><label>Table 2</label><caption><p>     Reproductive performance of Friesian Holstein (model-based mean, 95% CI) for days to first service, days open, and services per conception by group and parity</p></caption><table frame="box" rules="all"><thead><tr><th align="center" colspan="1" rowspan="2" valign="middle">Trait</th><th rowspan="2" valign="middle" align="center" colspan="1">Parity</th><th valign="middle" align="center" colspan="3">Post-disorder reproductive metrics</th></tr><tr><th valign="middle" align="center" colspan="1">DFS (days)</th><th valign="top" align="center" colspan="1">DO (days</th><th align="center" colspan="1" valign="top">S/C</th></tr></thead><tbody><tr><td align="center" colspan="1" valign="top">Healthy</td><td align="center" colspan="1" valign="top">primapara</td><td valign="top" align="center" colspan="1">78.65 (68.47–88.83)</td><td colspan="1" valign="top" align="center">172.74 (132.62–212.86)</td><td align="center" colspan="1" valign="top">2.35 (1.65–3.06)</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1">multipara</td><td align="center" colspan="1" valign="top">91.62 (83.81–99.43)</td><td valign="top" align="center" colspan="1">183.59 (152.16–215.02)</td><td valign="top" align="center" colspan="1">2.53 (1.98–3.09)</td></tr><tr><td valign="top" align="center" colspan="1">Abortion</td><td align="center" colspan="1" valign="top">primapara</td><td align="center" colspan="1" valign="top">63.67 (48.49–78.84)</td><td align="center" colspan="1" valign="top">170.13 (96.41–243.84)</td><td valign="top" align="center" colspan="1">2.94 (1.64–4.23)</td></tr><tr><td valign="top" align="center" colspan="1"></td><td colspan="1" valign="top" align="center">multipara</td><td colspan="1" valign="top" align="center">59.50 (48.12–70.88)</td><td align="center" colspan="1" valign="top">160.38 (112.54–208.20)</td><td align="center" colspan="1" valign="top">3.05 (2.21–3.89)</td></tr><tr><td colspan="1" valign="top" align="center">Retained placenta</td><td valign="top" align="center" colspan="1">primapara</td><td colspan="1" valign="top" align="center">81.13 (71.74–90.52)</td><td valign="top" align="center" colspan="1">152.70 (109.22–196.17)</td><td valign="top" align="center" colspan="1">3.00 (2.24–3.76)</td></tr><tr><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">multipara</td><td colspan="1" valign="top" align="center">73.25 (65.39–81.12)</td><td align="center" colspan="1" valign="top">165.33 (132.36–198.29)</td><td valign="top" align="center" colspan="1">3.00 (2.42–3.58)</td></tr><tr><td valign="top" align="center" colspan="1"></td><td colspan="1" valign="top" align="center"></td><td valign="top" align="center" colspan="1">76.58 (68.94–84.22)</td><td valign="top" align="center" colspan="1">156.08 (121.34–190.83)</td><td valign="top" align="center" colspan="1">3.03 (2.42–3.64)</td></tr><tr><td align="center" colspan="1" valign="top"></td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">84.14 (76.55–91.73)</td><td valign="top" align="center" colspan="1">177.65 (143.37–211.92)</td><td colspan="1" valign="top" align="center">2.77 (2.17–3.37)</td></tr><tr><td colspan="1" valign="top" align="center">P (group)</td><td valign="top" align="center" colspan="1"></td><td align="center" colspan="1" valign="top">&lt;0.01</td><td valign="top" align="center" colspan="1">0.76</td><td align="center" colspan="1" valign="top">0.31</td></tr><tr><td align="center" colspan="1" valign="top">P (parity)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">0.31</td><td valign="top" align="center" colspan="1">0.37</td><td valign="top" align="center" colspan="1">0.94</td></tr><tr><td align="center" colspan="1" valign="top">P (group × parity)</td><td valign="top" align="center" colspan="1"></td><td valign="top" align="center" colspan="1">0.08</td><td align="center" colspan="1" valign="top">0.94</td><td align="center" colspan="1" valign="top">0.91</td></tr></tbody></table><table-wrap-foot><p>Note: DFS, days to first service; DO, open days; S/C, services per conception. Healthy–P (n=40), healthy–M (n=68), abortion–P (n=18), abortion–M (n=32), distocya–P (n=47), distocya–M (n=67), retained placenta–P (n=71), retained placenta–M (n=72)</p></table-wrap-foot></table-wrap></sec></sec><sec><title>DISCUSSION</title><p>This study investigated the effects of reproductive disorders on subsequent fertility in dairy cows, with parity considered as a contributing factor. Previous studies reported that abortion<xref ref-type="bibr" rid="BIBR-21">(Keshavarzi et al., 2020)</xref>;<xref ref-type="bibr" rid="BIBR-52">(Wielen et al., 2025)</xref>, dystocia<xref ref-type="bibr" rid="BIBR-18">(Hossein-Zadeh, 2016)</xref>;<xref ref-type="bibr" rid="BIBR-22">(Kim et al., 2016)</xref>, and retained placenta<xref ref-type="bibr" rid="BIBR-35">(Nyabinwa et al., 2020)</xref> were associated with poorer reproductive performance compared with healthy cows. However, in this study, not all reproductive performance parameters showed a decline. The differences in reproductive performance indicators (FSCR, PR, OPR, and S/C) between healthy and affected cows were not statistically significant (p&gt;0.05). A numerical trend toward lower performance was observed in cows with reproductive disorders.</p><p>The results showed variation in pregnancy results between healthy and reproductive disorder cows over the observation period <xref ref-type="table" rid="table-2">Table 1</xref> Healthy cows had numerically superior reproductive performance, with multiparous FSCR of 0.28 (95% CI 0.19–0.40), primiparous PR of 0.68 (95% CI 0.52–0.80) and multiparous PR of 0.65 (95% CI 0.53–0.75), and primiparous OPR of 0.21 (95% CI 0.15–0.29) and multiparous OPR 0.21 (95% CI 0.16–0.28). Furthermore, the corresponding S/C were 2.35 in primiparous and 2.53 in multiparous healthy cows <xref ref-type="table" rid="table-1">Table 2</xref>. The reproductive performance of healthy Holstein-Friesian cows at the study site was lower than previous reports, which showed higher fertility levels in the subjects raised in higher locations of Indonesia. The reports showed a CR of 47.3%<xref rid="BIBR-48" ref-type="bibr">(Syah et al., 2023)</xref>, a PR of 68.7%<xref ref-type="bibr" rid="BIBR-47">(Susilawati et al., 2023)</xref>, and S/C value of 1.47<xref ref-type="bibr" rid="BIBR-45">(Setyorini et al., 2022)</xref>. The OPR in this study was relatively low, remaining below 65%<xref ref-type="bibr" rid="BIBR-23">(Kumaresan &amp; Srivastava, 2022)</xref>. The poor reproductive performance reported by the healthy group was probably due to the high temperature and humidity in the environment, which could cause heat stress<xref ref-type="bibr" rid="BIBR-2">(Asmarasari et al., 2023)</xref>. Holstein-Friesian cows perform best when the temperature is between 13 and 25 °C and the relative humidity is 50 to 60%<xref ref-type="bibr" rid="BIBR-25">(Lim et al., 2021)</xref>. The average daily temperature at the study site was between 22 and 25 °C, but the temperature throughout the midday might reach 38 °C, and the relative humidity tended to range from 67% to 94%. These conditions are known to lower the fertility of dairy cows by making sperm less viable, leading to difficulties with egg fertilization, slower embryo growth, and less intense estrus<xref rid="BIBR-26" ref-type="bibr">(Llamas-Luceño et al., 2020)</xref>;<xref ref-type="bibr" rid="BIBR-40">(Rahman et al., 2018)</xref>;<xref rid="BIBR-41" ref-type="bibr">(Reith &amp; Hoy, 2018)</xref>. Despite some level of acclimatization, these cows cannot be considered fully adapted to the high heat and humidity typical of the study area.</p><p>Reproductive performance is further compromised in cows with reproductive disorders by bacterial contamination and uterine infections that lead to endometritis and reduced embryo viability<xref ref-type="bibr" rid="BIBR-19">(Husnain et al., 2023)</xref>. Bacterial toxins, particularly lipopolysaccharides (LPS), suppress pituitary LH secretion, inhibit dominant follicle growth, and impair ovulation<xref ref-type="bibr" rid="BIBR-36">(Opsomer et al., 2000)</xref>;<xref ref-type="bibr" rid="BIBR-46">(Sheldon et al., 2002)</xref>. Additionally, LPS directly disrupts steroidogenesis in ovarian follicular cells and reduces oocyte developmental competence, lowering embryo quality<xref ref-type="bibr" rid="BIBR-27">(Magata, 2020)</xref>. The combination of uterine damage, hormonal disruption, and reduced oocyte quality contributes to lower conception rates and higher pregnancy failure risks in cows with a history of reproductive disorders compared with healthy subjects<xref ref-type="bibr" rid="BIBR-24">(LeBlanc et al., 2002)</xref>.</p><p>Cows affected by reproductive disorders showed lower FSCR, PR, and OPR and higher S/C than healthy cows (all p&gt;0.05), but DFS and DO were attained more rapidly. Abortion victims were inseminated 25.8 days before healthy cows, while those with dystocia and retained placenta were inseminated 10.3 and 6.4 days earlier, respectively (<xref ref-type="fig" rid="figure-3">Figure 2</xref>). Consistent with the Kaplan–Meier plot, <xref ref-type="table" rid="table-1">Table 2</xref> shows the shortest mean DFS of 63.67 d (95% CI 48.49–78.84) in the abortion group of primiparous cows and 59.50 d (95% CI 48.12– 70.88) in multiparous types. Meanwhile, the healthy multiparous group had the longest mean DFS of 91.62 d (95% CI 83.81–99.43), and the tendency persisted for DO, adhering to the same pattern. Hazard-ratio (HR) analysis found diminished probabilities of conception in comparison to healthy cows for abortion (HR = 0.79; 95% CI 0.51–1.23; p = 0.29), retained placenta (HR = 0.80; 95% CI 0.57–1.13; p = 0.21), and dystocia (HR = 0.71; 95% CI 0.51–0.98; p = 0.04) <xref ref-type="fig" rid="figure-2">Figure 3</xref>. The healthy multiparous group had the longest average number of DO, which was 183.59 days (95% CI 152.16–215.02), compared to the disorder groups (<xref ref-type="table" rid="table-1">Table 2</xref>). These results show that HR and mean DO do not necessarily have to be the same. HR presents the chance of conception at any given time, and mean DO signifies the time required for half of the cows to conceive.</p><p>The phenomenon explained above can be attributed to the more rigorous post-disorder treatments administered to cows with reproductive problems, including antibiotics, multivitamins, and supportive care, which may have expedited reproductive recovery. Healthy cows in smallholder systems generally did not receive specialist postpartum treatment, initiating more vulnerability to negative energy balance (NEB) originating from increased energy requirements during peak lactation. <xref ref-type="bibr" rid="BIBR-53">(Walsh et al., 2011)</xref> asserted that the described condition prevented ovarian recovery in healthy cows. Cows with the experience of abortion<xref ref-type="bibr" rid="BIBR-52">(Wielen et al., 2025)</xref>, dystocia<xref ref-type="bibr" rid="BIBR-42">(Roche et al., 2023)</xref>, or retained placenta<xref ref-type="bibr" rid="BIBR-28">(Mahnani et al., 2021)</xref> typically had less milk production, leading to a less severe NEB, which promoted earlier estrus and ovulation<xref ref-type="bibr" rid="BIBR-5">(Butler, 2003)</xref>. This phenomenon clarifies why cows with reproductive abnormalities have earlier DFS and DO, despite possessing lower total conception rates. Intra-group variation might have played a role because a few cows conceived rapidly, reducing the mean DO, and others did not conceive during the 500day observation period, leading to diminished herd reproductive values. Effective postpartum treatment is essential for expediting reproductive recovery in dairy cows. Numerous studies show that using targeted antibiotics for reproductive disorders significantly enhances conception rates and reduces the calving-toconception interval<xref ref-type="bibr" rid="BIBR-13">(Denis-Robichaud &amp; Dubuc, 2015)</xref>;<xref ref-type="bibr" rid="BIBR-31">(Menta et al., 2024)</xref>. Vitamin supplementation during the transition phase has shown efficacy in enhancing uterine function, facilitating a more rapid return to estrus cyclicity<xref ref-type="bibr" rid="BIBR-32">(Moghimi-Kandelousi et al., 2020)</xref>;<xref ref-type="bibr" rid="BIBR-33">(Morrison et al., 2018)</xref>. The combination of targeted antibiotic treatment, multivitamin supplementation, and adequate postpartum nutritional support can be considered the most effective strategy for enhancing reproductive recovery following parturition.</p><p>Parity showed no observable effects across all results in the collected dataset. In logistic GLMs for the binary endpoints (FSCR, PR, OPR), the primiparous– multiparous comparison produced p&gt;0.05 for all parameters <xref ref-type="table" rid="table-2">Table 1</xref>. Similarly, in two-way ANOVA (GLM) for the continuous endpoints (DFS, DO, S/C), the main effects of parity were non-significant (all p &gt; 0.05; <xref ref-type="table" rid="table-1">Table 2</xref>). These results were consistent with previous reports, such as<xref ref-type="bibr" rid="BIBR-50">(Tadesse et al., 2022)</xref>, who observed no parity effects on conception odds in multivariable logistic models. Similarly,<xref ref-type="bibr" rid="BIBR-34">(Nan et al., 2023)</xref> detected no meaningful differences in continuous reproductive measures across parity groups. The evidence shows that parity, as assessed in this study, is not a major determinant of fertility performance. Primiparous and multiparous cows have broadly identical probabilities of conceiving following reproductive disorders.</p><p><xref ref-type="table" rid="table-1">Table 2 </xref>shows a wide CI for cows with a history of abortion, which may reflect the limited sample size in this subgroup (n primiparous = 18, and n multiparous = 32). A limited sample size increases uncertainty in the estimates, reflected in wider CI, less stable OD, and reduced Statistical power to detect moderate effects<xref ref-type="bibr" rid="BIBR-6">(Button et al., 2013)</xref>;<xref ref-type="bibr" rid="BIBR-58">(Zeng et al., 2022)</xref>. As a result, results related to the abortion subgroup should be interpreted cautiously<xref ref-type="bibr" rid="BIBR-39">(Rafati et al., 2010)</xref>. Greater precision would likely be achieved through studies with larger samples or by combining data across herds.</p><p>Reproductive disorders, including abortion, dystocia, and retained placenta, were generally not connected to a significant reduction in reproductive performance in Holstein-Friesian cows. DFS and DO sometimes showed faster postpartum recovery in reproductively challenged cows than in healthy animals, potentially associated with differences in milk yield or management practices. The lack of a clear parity-related effect confirms the primacy of preventive measures, timely clinical intervention, and control of environmental stressors for sustaining reproductive performance across the herd.</p></sec><sec><title>CONCLUSION</title><p>Although post-disorder pregnancy metrics (FSCR, PR, OPR) showed no statistically significant connection to reproductive problems, affected animals numerically underperformed their healthy counterparts. The control group maintained a better mean S/C than cows suffering from reproductive issues. Despite the diminished conception-related metrics, cows with reproductive abnormalities had reduced DFS and DO, potentially due to the postpartum interventions implemented following the onset of the disorders. There was a lack of statistical significance in the observed effects, and the numerical patterns still suggested possible biological relevance, showing the necessity of efficient postpartum management to enhance reproductive success in smallholder dairy production systems.</p></sec></body><back><sec><title>CONFLICT OF INTEREST</title><p>The authors declare that there is no conflict of interest regarding the publication of this study.</p></sec><sec><title>ACKNOWLEDGEMENT</title><p>The authors are grateful to the Directorate General of Research and Development, Ministry of Higher Education, Science and Technology, for supporting this study through Program Magister Menuju Doktor untuk Sarjana Unggul (PMDSU) with contract number 697/ UN10.A0501/B/PT.01.03.2/2025.</p></sec><sec><title>DECLARATION OF GENERATIVE AI AND AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS</title><p>During the preparation of this study, the author(s) used ChatGPT (OpenAI) to improve language clarity and grammar and Scopus AI to assist in literature searching. 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