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Failure of Passive Immune Transfer in Neonatal Beef Calves: A Scoping Review

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10 June 2025

Posted:

11 June 2025

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Abstract
Neonatal calves possess an immature and naïve immune system and are reliant on the intake of maternal colostrum for passive transfer of immunoglobulins. Maternal antibodies delivered to the calf via colostrum, are crucial to prevent calfhood diseases and death. Failure of passive transfer (FPT) is a condition in which calves do not acquire enough maternal antibodies, mostly in the form of IgG, due to inadequate colostrum quality or delayed colostrum feeding. The diagnosis and risk factors for FPT have been widely studied in dairy cattle, however, in beef calves research interest in the topic is relatively recent, and the most adequate diagnostic and preventative methods are still developing, making it difficult to define recommendations for assessment and prevention of FPT in cow-calf operations. The objective of this scoping review is to identify literature available on best practices of colostrum management and transfer of passive immunity (TPI) in neonatal beef calves. Literature was searched through three electronic databases (CAB Direct, Scopus, and PubMed) for publications from 2003 to 2025. The search process was performed during the period from May to July 2023 and repeated in January 2025. All screening processes were performed using Covidence systematic review software. A total of 800 studies were initially identified through database searches. After removing duplicates, 346 studies were screened based on their titles and abstracts, leading to the exclusion of 260 studies. The remaining 86 studies underwent full-text screening, and 60 studies were considered eligible for data extraction. Hand-searching of references from published review papers on the subject yielded an additional six studies, bringing the total to 66 included ar-ticles. Prevalence of FPT has been estimated to be between 5.8% and 34.5% in beef calves. Dam-related risk factors studied include breed, dystocia, twinning, dam vaccinations, age, body condition score, prepartum nutrition, genetics, udder conformation, and health. Studies on risk factors related to the calf include calf vigor and suckling reflex, colostrum quality and quantity consumed, timing and method of colostrum feeding, and microbial content of colostrum. Most importantly for beef systems, calves with low vigor and weak suckling reflex are at high risk for FPT, therefore, these calves should be given extra attention to ensure adequate consumption of colos-trum. While serum IgG levels of < 8 g/L or < 10 g/L have been suggested as cutoffs for the diagnosis of FPT, 16 g/L and 24 g/L have emerged as cutoffs for adequate and optimal serum IgG levels in beef calves. Several field-ready diagnostics have been compared in various studies to reference stand-ards for measuring indicators of TPI in beef calves, where results often differ between models or manufacturers. Therefore, care must be taken when interpreting these results.
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1. Introduction

Neonatal calves possess an immature and naïve immune system and are reliant on the intake of maternal colostrum for passive transfer of immunoglobulins [1]. Colostrum is the first secretion a cow produces after calving, which serves as an energy source for calves during the first hours of life [2]. Colostrum is a rich source of nutrients, containing 1.85 times the dry matter, 4.52 times more protein, 1.68 times more fat content, and higher concentrations of minerals and vitamins compared to whole milk [3]. In addition, colostrum has a high content of immunoglobulins, which provide immunity to a calf for the first weeks of life. Calves can absorb immunoglobulins from maternal colostrum through their small intestine at birth. However, the closure of intestinal permeability to these proteins accelerates as the calf age exceeds 12 h, with permeability ceasing completely at 24 hours postpartum [4]. Bovine colostrum contains a high concentration of immunoglobulin G (IgG), with smaller amounts of IgA and IgM [5]. Failure of transfer of passive immunity (FPT) is a condition in which neonates receive insufficient maternal immunoglobulin antibodies [6]. Multiple studies have demonstrated the importance of successful transfer of passive immunity (TPI) for calf survival and health [7,8]. Adequate TPI is associated with short- and long-term health benefits by reducing mortality due to infectious disease and increasing daily gain, feed efficiency, fertility, and milk production in first and second lactations [9]. FPT is important for both dairy and beef farms because it may increase the risk of health disorders, contribute to antimicrobial use, and, consequently, to antimicrobial resistance [10]. In addition, the mean total cost per calf with FPT is estimated at €60 per dairy calf and €80 per beef calf [11].
Several management practices and animal factors, including the timing and amount of colostrum fed, colostrum feeding method, time spent in the maternity area, breed, twin birth, dystocia, dam parity and health status, and herd size are known to be associated with the acquisition of passive immunity in dairy calves [12]. However, risk factors associated with FPT in beef calves are not well established. Therefore, the main objective of the current study was to summarize the available literature to understand the prevalence of FPT and the association between FPT and calf health, and identify risk factors for FPT as well as define best practices for measuring TPI and diagnosing FPT in beef calves.

2. Materials and Methods

2.1. Eligibility Criteria

Eligible studies were those with full texts available in English. Analytic observational and experimental studies were eligible, including controlled trials, cohort studies, case-control studies, and cross-sectional studies. Conference proceedings were included if the abstract had at least 500 words. Book chapters, review articles, case reports, and non-English articles were excluded. We included studies that focused on validating or comparing diagnostic methods for TPI in beef calves. Studies using beef or dual-purpose cattle were included; those using only dairy breeds or calves born on dairies were excluded. Studies evaluating only colostrum quality without also studying the transfer of passive immunity in calves were also excluded.

2.2. Search Strategy

Literature was searched through CAB Direct (via CABI), Scopus, and PubMed databases. Publications starting in 2003, i.e., not more than 20 years old at the time of the initial search were eligible. Electronic databases were searched during the period from May to July 2023. Search terms were developed related to the study population (beef calves), the intervention (colostrum, and vaccination), and outcome (passive immunity). The search string was adjusted for each database (Table S1, Table S2, Table S3). The resulting publications were exported, stored, and de-duplicated in Systematic Review Accelerator (SRA) [13]. Duplicates were removed by matching the first author, title, and publication year. All screening processes were performed using Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia). The search was repeated in January 2025 to include studies that were published after the first search was performed.

2.3. Screening Processes

The screening process included two stages: title and abstract screening, and full-text screening. At both the title and abstract screening or full-text screening, 2 reviewers (GM and EA) independently reviewed the articles. When reviewers had conflicting answers, they resolved the conflict through discussion.
Title and abstract screening were performed by looking for the following keywords in the title and abstract: beef calves, passive immunity, calving, prepartum vaccination, health, tube feeding, esophageal feeding, adequate nutrition, and excluded articles that included the following keywords in their title or abstracts: dairy calves, cows (if no calf), postweaned calves, behavior, and veal calves.
Studies were moved to the full text screen if they included neonatal beef calves and at least one of the other terms. Studies categorized as “yes”, or “maybe”, were retrieved and included in the full-text screening.
The full-text screening was conducted for all studies that passed the title and abstract screening process. Exclusion criteria were studies in non-beef operations (e.g., veal, dairy), studies on post-weaned beef calves, studies on behavior, and studies conducted on Holstein or other dairy breeds. All studies were categorized as either “include” or “exclude”, and studies that didn’t fit the inclusion criteria were removed. Those that fit inclusion criteria were eligible for data extraction. During the full-text screening, each study was tagged with either prevalence estimates of FPT, association between FPT and calf health, a colostrum management- calf- or dam- related factor to describe the risk factor associated with FPT, or methods of FPT detection (Table 1).

2.4. Data Extraction

All included studies were extracted from Covidence software into a CSV file and complemented with data manually extracted from articles (Table S4). Data extracted from the articles included authors, title, year of publication, journal name, study design, risk factor or intervention that was assessed, country of study location, and number of animals in the study. Descriptive statistics were generated in R Studio software (version 2024.12.1) and the numbers of studies, and their characteristics were summarized in tables and figures.

3. Results

3.1. Descriptive Summaries

A comprehensive search of electronic databases yielded a total of 800 studies. Following the removal of 454 duplicates, 346 studies were included for initial screening. Subsequently, 260 studies were excluded at the title and abstract stage. The remaining 86 studies underwent full-text screening, with 26 studies being excluded because they were on dairy cattle, were review articles, the focus was not on risk factors for FPT, the prevalence or diagnosis of FPT in beef calves, or they were case reports. Ultimately, 66 studies were deemed eligible for data extraction (Figure 1). Most studies were published between 2014 and 2024 (76%; n=50) (Figure 2).
Studies were categorized into each risk factor or intervention investigated as shown in Table 1.
The majority of studies were conducted in the United States or Canada (n = 31), followed by Europe (n = 16). One study each was conducted in Australia, New Zealand, South America (Brazil), and two studies were carried out in Asia (Korea and Turkey) (Table 2). Study design types and breed types are also listed in Table 2. Crossbred was the most common type of breed description used in studies including the beef-dairy crosses Angus-Holstein (n = 1), Angus-Jersey (n = 1), Angus-Kiwicross (n = 1), Limousin-Friesian (n = 2) and the beef cross Charolais-Limousin (n = 1). Some studies either did not mention the type of breed (n = 8), or listed “Other” as breed type (n = 1), or said that 31 breed types were represented (n = 1). Studies where no specific breed type was mentioned were typically large observational studies. The number of beef calves, dams, or pairs used in studies ranged from 10 to 1568 (Median: 84, IQR: 156).

3.2. Prevalence Estimates of FPT in Beef Calves

Five studies reported estimates for the prevalence of FPT ranging from 5.8% to 34.5% in study calves, however, definitions for FPT were not consistent. A cross-sectional study of 84 farms in Great Britain found 15% of calves with serum IgG concentrations < 10g/L and 37% < 24 g/L [8]. In an observational study of 225 calves from 45 cow-calf herds in Quebec, 19% had FPT based on a < 10 g/L serum IgG1 [14]. An observational study of 935 beef calves from 152 herds in Alberta and Saskatchewan found 5.8% to have FPT based on serum IgG ≤ 8 g/L) [15]. In a population of Irish beef herds, 22% of 82 sampled calves had FPT based on a ZST test result < 20 units [16]. In 1131 calves from 84 herds in Great Britain, 15% were estimated to have FPT based on serum IgG < 10 g/L. Also based on a cutoff of 10 g/L serum IgG, 34.5% of 202 Belgian Blue beef calves from the same herd were found to have FPT [17].

3.3. Association Between FPT and Calf Health Outcomes

Results from studies that have found associations between FPT and health outcomes and which cutoffs they determined for various health outcomes are summarized in Table 3. Despite the known importance of passive transfer of immunity to calf health outcomes, not all studies found associations between various measures of TPI and morbidity or mortality in calves [14,15,18]. However, the study by Waldner and Rosengren found associations between IgG serum concentrations below 24 g/L and negative health outcomes. Likewise, Bragg et al. found that calves with higher serum IgG levels are at reduced odds of death or requiring treatment (OR 0.97, 95% CI 0.95 – 0.99) [19]. In a cohort study of 1568 beef calves, those with FPT based on a serum IgG1 concentration ≤ 8 g/L were more likely to have a preweaning morbidity event, compared with calves that had adequate passive transfer with a serum IgG1 concentration > 16 g/L (OR 2.24 (95% CI, 1.52 to 3.29)). The study suggested 2,400 mg/dL serum IgG1 as a cutoff for optimal TPI based on likelihood ratios for disease or death before weaning events in this cohort [7]. In a study of 420 calves from 6 farms in Alberta, Canada [20], calves with serum IgG concentrations < 10 g/L were more likely to receive treatment (OR 7.9, 95% CI 2.7 – 23.7) or die (OR 18.5, 95% CI 3.7 – 93.2). This trend was consistent for calves with a serum IgG concentration < 24 g/L, that also had higher odds of dying (OR 10.1, 95% CI 2.6 – 40.2). Among 355 Charolais calves, serum IgG levels < 10 g/L were associated with higher mortality (P < 0.001) and higher IgG1 concentrations were associated with fewer health problems [21]. Finally, an observational study in 1392 Irish beef calves determined various diagnostic cutoffs for tests of passive immunity in terms of morbidity and mortality outcomes [22].

3.4. Factors Related to Colostrum Management

Multiple studies evaluated the impact of the way calves receive colostrum on serum IgG or on how these practices affect FPT status or optimal passive transfer. Often, studies have come to conflicting results on the effects of a practice. However, it is critical to understand that the practice itself may not be the causative factor in affecting serum IgG, but rather there may be an underlying factor, such as dystocia, that results in a feeding practice, for example, bottle feeding or esophageal tube feeding. This is especially true for observational studies where the feeding method is not randomly assigned.

3.4.1. Colostrum Quantity or Volume

A randomized controlled trial conducted by Gamsjäger et al., [23] found that the latency of beef calves to stand and nurse from their dam after being fed colostrum was associated with the volume and colostrum feeding type used at first feeding. Calves fed a volume of 1.4 L with 70 g/L IgG nursed from their dams statistically significantly earlier (P = 0.003) compared to calves fed 1 L with 100 g/L IgG or calves fed 2 L with 100 g/L IgG, while calf serum IgG concentration was not affected by treatment. All feedings were performed through esophageal tube feeder.

3.4.2. Colostrum Quality (IgG Concentration or Source)

Three studies evaluated colostral IgG content and source on calf serum IgG and had variable outcomes. The Gamsjäger et al. study mentioned above [23] found that feeding 1 L or 2 L of a colostrum product with a high IgG concentration (100 g/L) or 1.4 L of a product with a moderate IgG concentration (70 g/L) did not result in statistically significantly different calf serum IgG concentrations in beef calves. Likewise, Chamorro et al. [24], in a randomized controlled trial, compared calves delivered through C-section and fed either a colostrum replacer product providing 60 g of IgG per feeding twice, the same feeding treatment and reuniting calves with their dams after the second feeding, or immediately reuniting calves with their dams after delivery. No difference in serum IgG levels was found between treatment groups. On the other hand, Ahmadi et al. [25] evaluated feeding a colostrum replacer product (Headstart, Saskatoon Colostrum, Saskatoon, SK, Canada) containing 60 g IgG versus natural bovine colostrum from Holstein cows containing > 50 g/L IgG to beef calves in a randomized controlled trial and found higher serum IgG levels (14.7 vs. 10.8 ± 0.92 mg/mL on day 2 (P < 0.01)) and lower proportions of calves with FPT in calves fed natural colostrum (15% vs 50%, P < 0.05), but no difference in growth rate, body frame development, and incidence of diarrhea between treatment groups. Similar amounts of approximately 2.4 L of colostrum are reported to have been consumed by calves in the two treatment groups on average, however, it is unclear whether calves were forced to consume any minimal amount.

3.4.3. Timing of Colostrum Feeding

The timing of first colostrum feeding is a primary factor for the degree of TPI as intestinal enterocytes lose the ability to absorb intact macromolecules with time after birth. We found two articles that assessed the timing of first colostrum feeding on calf passive immunity. Homerosky et al. [26] found calves with failed colostrum consumption by 4 hours after birth had lower serum IgG concentrations (P = 0.01), had higher odds of not acquiring optimal passive immunity of ≥ 24 g/L serum IgG (OR 6.4, 95% CI: 1.2–34.4), and higher odds of being treated for preweaning diseases (OR 2.8, 95% CI: 1.1–7.4; P = 0.03) such as diarrhea and BRD than those that succeeded, in an observational study enrolling calves that were born via assisted or unassisted delivery. In contrast, in a cohort study of Holstein Friesian and Belgian Blue pairs, calves were bottle-fed a total of 6 L of their dam’s colostrum separated into three 2 L meals at 2 hours, 6 hours, and 24 hours. In both breeds, serum IgG levels increased with increasing age at first feeding. However, the age at first feeding ranged only between 10 and 150 minutes in study calves.

3.4.4. Method of Colostrum Feeding

Eight studies investigated the relationship between the method of colostrum feeding and calf serum IgG concentration and came to a spectrum of conclusions.
An observational study of 84 beef farms in the UK found significant associations between any assistance with colostrum feeding and calves having serum IgG levels < 24 g/L (Lead to dam OR 1.85 (1.11–3.06 95 % CI), bottle/tube fed dam’s colostrum OR 2.35 (1.29–4.30 95 % CI), bottle/tube fed artificial colostrum OR 3.78 (1.86–7.70 95 % CI)) The authors also found associations between FPT of < 10 g/L serum IgG and bottle or tube feeding the dam’s colostrum (OR 2.66 (1.32–5.36 95 % CI) or colostrum replacer (OR 2.34 (1.09–5.02 95 % CI)) [8]. Likewise, a cross-sectional study of 6 Canadian beef farms found being fed colostrum or colostrum product by bottle or tube a risk for FPT or inadequate transfer of immunity to beef calves [20]. Further, in a randomized controlled trial on the effect of meloxicam for calves requiring calving assistance, bottle or tube feeding calves was associated with lower serum IgG concentrations compared with nursing [27]. Pisello et al. [28] found that bottle-feeding colostrum is a risk factor linked to lower serum IgG concentrations in calves, as Chianina beef calves that received colostrum through free suckling showed higher serum IgG concentrations (20.76 ± 11.47) compared to those fed colostrum by bottle (12.80 ± 10.48) although statistical significance was set at P = 0.10.
Several studies found no difference between various colostrum feeding methods and FPT status. The study by Gamsjäger et al. mentioned previously [23] found that use of a nipple bottle when feeding a smaller volume (1 L) of colostrum compared to feeding with an esophageal tube feeder resulted in statistically significantly shorter latency to stand and nurse (P = 0.005) but not in differences in serum IgG concentration. However, in this study, no calves were included that nursed exclusively. McGee et al. found no differences in serum Ig concentrations between calves fed colostrum via esophageal feeder or via assisted suckling [29]. In an observational study on the effect of embryo transfer and artificial insemination on the method of feeding colostrum among other outcomes, the feeding method (suckling, bottle feeding, or esophageal tube feeding) was not correlated with FPT as assessed by serum total protein < 5.0 g/dL, gammaglobulin < 1.0 g/dL or GGT < 100 IU/L [30].
Only one study found an advantage of bottle feeding over suckling. According to Filteau et al. [14], calves fed colostrum with a nipple-bottle had significantly lower odds of experiencing FPT compared to those that relied solely on the dam without any assistance for colostrum intake (OR 0.06, P = 0.014).

3.4.5. Microbial Content of Colostrum

In the study conducted by Van Hese et al. [31], the microbial composition of first-milking colostrum was investigated in dairy Holstein Friesian (HF) and beef Belgian Blue (BB) cows using amplicon sequencing of bacterial genes. The researchers observed significant differences in bacterial diversity between the HF and BB colostrum samples. Additionally, within each breed, several genera were found to vary in abundance between colostrum samples of different quality. Notably, in the HF cows, the bacterial composition of colostrum leading to low serum IgG levels in the calf differed from that of colostrum leading to high serum IgG levels. No such differences were found in Belgian Blue colostrum samples.

3.5. Factors Related to Calves

Calf intrinsic factors include calf sex, whether a calf has a twin, a calf’s vigor at birth, whether a calf is born from a breeding that was performed using reproductive technologies such as embryo transfer of artificial insemination, a calf’s birthweight, the month of birth, and a calf’s cortisol or epinephrine blood levels at birth.

3.5.1. Calf Sex or Twin Status

Five studies that evaluated calf sex or twin status as a risk factor for FPT or serum IgG levels were observational studies. The two studies that assessed twin status as a risk factor both found that twin calves are more likely to have lower serum IgG levels than single calves, OR 3.31 (95% CI 1.64 – 6.71) for serum IgG < 24g/L [8] and P = 0.004 for continuous serum IgG levels [15]. Male calves were found to have lower serum IgG levels than female calves in two studies [8,32], however, one of the two studies, Cavirani et al., included dairy and beef breeds, and the effect may have been confounded by dairy management practices. The three studies that did not find an association between serum IgG and calf sex all controlled for calving assistance in their analysis [14,27,33], whereas the study by Bragg et al. [8] constructed separate models for farmer intervention including calving assistance and intrinsic factors including calf sex, and Cavirani et al. [32] only considered breed, gender, and dam parity as risk factors. One study in Charolais cattle found male calves to have higher IgM levels (2.1 mg/mL versus 1.7 mg/mL, P = 0.02) than female calves, but found no difference between IgG1 levels [21].

3.5.2. Calf Vigor at Birth

Three studies used calf vigor as a risk factor for serum IgG concentration or inadequate transfer of passive immunity in their analyses, and two found low calf vigor to be associated with less desirable outcomes [26,34]. Homerosky et al. found that calves with a weak suckle reflex had 41.6 (95% CI 7.4 – 787.5) times higher odds of failing to consume colostrum successfully within 4 hours, which in turn was a predictor for not acquiring > 24 g/L serum IgG (OR 6.4, 95% CI 1.2 – 34.4, P = 0.02). Pearson et al. found an incomplete tongue withdrawal (P = 0.005) and weak suckle reflex (P = 0.02) to be associated with decreased IgG concentration in a cross-sectional study on the effects of calving difficulty on passive immunity. In contrast, the same first author found that a weak suckle reflex led to lower odds of acquiring inadequate passive transfer of < 24 g/L IgG (OR 0.5, P = 0.05) in a randomized controlled trial studying the effect of a non-steroidal inflammatory drug for beef calves with assisted births [27]. It was speculated that producers’ awareness of the association between suckle reflex and colostrum consumption led to biased treatments of calves in this study.

3.5.3. Reproductive Technologies Used at Breeding

One observational study compared Brahman calves conceived either through artificial insemination or in vitro embryo production and found no difference in FPT between groups, although the analysis was not adjusted for other risk factors [30].

3.5.4. Calf Birthweight

Calf birthweight was significantly associated with calf serum IgG1 (P = 0.03) and IgM (P = 0.04) in Charolais calves, with heavier calves having slightly lower serum IgM levels and presumably lower IgG1 levels, although the direction of the latter association is not explicitly stated in the study [21]. In contrast, the study comparing Brahman calves conceived either through AI or embryo transfer did not find an association between birthweight and FPT [30]. Likewise, a study in Brahman calves correlating temperament, endocrine, immune, and growth variables did not find any associations between birthweight and immunoglobulin levels status [35].

3.5.5. Month of Birth

The observational study by Filteau et al. showed differences in health outcomes for calves born in January through March compared to April, but not in their FPT status (serum IgG1 concentration < 10.0 g/L [14].

3.5.6. Calf Cortisol and Epinephrine Levels

Epinephrine levels measured at birth and on multiple days until day 24 of age were positively associated with peak IgM serum concentrations, while peak cortisol levels from samples collected at the same time points were negatively associated with peak IgM and IgG2 serum concentrations in the study on temperament in Brahman calves [35].

3.6. Factors Related to Dams

3.6.1. Dam Body Condition Score or Udder Conformation

Results from a mix of study designs [14,27,33,36] showed that dam body condition score (BCS) was not significantly associated with calf FPT. According to Hickson et al. [37], every 1 point decrease in front teat placement score (more outward pointing teats) improved IgG (P = 0.01) and serum total protein (TP) (P < 0.01) concentrations in calf serum, while this trend was seen only in calf IgG serum concentrations (P = 0.04) for rear teats.

3.6.2. Dam Breed

Eight studies explored the effect of dam breed on the passive immunity of their offspring in a mix of observational and experimental study designs. Most studies included a mix of beef and dairy breeds and their crosses, where some differences between measures of passive transfer of immunity were found, however, there was no consistent pattern for beef or dairy breeds or their crosses. Altvater et al. found no difference in FPT based on a serum TP < 5.2 g/dL between beef and dairy calves, however, a larger proportion of beef than dairy calves had excellent passive transfer (STP > 6.2 g/dL, P < 0.01) [38]. When comparing serum IgG concentrations in calves from beef x beef crosses versus beef x dairy crosses, Brereton et al. found no differences [39]. On the other hand, a comparison of serum IgG between beef and dairy breeds resulted in lower serum IgG concentrations in calves born to Italian Friesian cows than those born to other dairy breeds (Reggiana and Bianca Modenese) or beef breeds (Piemontese or Limousine) (P < 0.001) [32]. A comparison between calves born to either Angus or the crosses Angus-Friesian, Angus-Jersey, Angus-Kiwicross dams showed that calves from Angus cows had lower concentrations of serum IgG (P = 0.006), serum TP (P = 0.005), and lower GGT activity (P < 0.001) than calves born to the Angus-cross dams. The calves from Angus dams also had a lower percentage reaching an adequate IgG serum concentration of 1600 mg/dL compared to the calves from Angus-Kiwicross dams [40]. Likewise, a study comparing passive transfer in Charolais and Hereford x Holstein-Friesian or Limousin x Holstein-Friesian cross dams showed that calves from Charolais cows had significantly lower IgG1, IgG2, IgA, and total Ig levels than calves from the beef cross dams in three experiments also assessing dam nutrition [41]. Murphy et al. compared serum IgG1 between calves of the following breeds and crossbreeds: Limousin x Friesian, Limousin x (Limousin x Friesian), Limousin, Charolais, and Simmental x (Limousin x Friesian). Calves from the Limousin x Friesian cross dams had higher serum IgG1 concentrations than those from other dams in the study except calves from the Simmental x (Limousin x Friesian) dams (P < 0.01) [42]. In a different experiment studying pre-calving vaccination of dams with the crosses Limousin x Friesian and Charolais x Limousin, Earley et al. found no differences in IgG or ZST between calves from those dams [43]. Finally, no difference in serum IgG concentration in calves from British, Continental, or other beef breeds was found in the observational study by Waldner and Rosengren [33].

3.6.3. Dam Prepartum Vaccination

Seven studies assessed the effect of vaccinating beef dams before calving. We included both studies that compared general vaccination strategies for pre-partum dams and vaccination of dams for specific pathogens or with specific products. Pisello et al. [28] found that calves born from dams that received prepartum vaccination against Escherichia coli, rotavirus and coronavirus had significantly higher serum IgG concentrations than calves born from dams that didn’t receive those vaccinations (P = 0.01) in a cross-sectional study of Chianina beef calves. On the other hand, in a randomized experiment, calves born from dams that received prepartum vaccination against Escherichia coli, rotavirus and coronavirus had similar serum TP and there was no difference in FPT between groups, although vaccine-specific IgG1 titers were higher in the calves from vaccinated dams [44]. Reppert et al. [45] also found similar serum IgG levels in calves from beef heifers receiving either two doses of a killed vaccine for bovine herpesvirus 1 and bovine viral diarrhea virus 1 and 2 or two doses of saline while vaccine-specific antibodies titers to these pathogens were higher in calves from vaccinated heifers. Vaccination of beef cows at 228-271 days of gestation with the commercial modified-live vaccine Bovi-Shield® resulted in a higher level of serum antibody titers for multiple viral antigens in dams and their offspring than in calves from dams that only received a dose of the vaccine pre-breeding [46]. Four types of Clostridium botulinum vaccines induced higher antibody titers for holotoxins C and D in calves from vaccinated dams than in calves from control dams [47]. Gamsjäger et al. found in an observational study that vaccination of dams during pregnancy for E. coli, bovine coronavirus, BVDV, and BHV-1 raised IgG concentrations specific to those pathogens in calves. However, for E. coli, this was only the case for vaccination of cows but not heifers [48]. Finally, a study on the immunoregulatory bovine granulocyte colony stimulating factor pegbovigrastim administered to pregnant cows found no differences in plasma IgG or overall globulins in calves from dams or control cows. However, calves from treated cows had lower plasma GGT (P < 0.05) on d 1 of life as well as gained less body weight than calves from control cows.

3.6.4. Dam Parity

Ten studies compared passive transfer in calves from heifers to those of multiparous cows or studied age of the dam as a risk factor for FPT or other outcomes of passive immunity. Most studies found higher serum IgG concentrations in calves from multiparous cows [27,29,33,39,49,50]. The observational study by Bragg et al. [8] found calves from heifers to have higher odds of having a serum IgG concentration < 24 g/L compared to calves from cows (OR 1.57 (95% CI 1.05 – 2.17). The experimental study by Hickson et al. [40] measured differences in serum IgG and TP in calves from cows of various ages, however, they did not measure TP in calves from heifers. TP was higher in calves from three-year-old cows than older cows (P < 0.001), while no clear pattern emerged about serum IgG levels. The two remaining observational studies by Cavirani et al. [32] and Filteau et al. [14] did not detect any effect of dam parity on serum IgG or FPT status of calves.

3.6.5. Dam Prepartum Nutrition

Thirteen studies evaluated the effect of different pre-parturient diets and supplements to beef dams on growth, health, and transfer of passive immunity of their calves. In the study by Noya et al. [51], calves from dams restricted to 65% of nutritional requirements in the first third of gestation had lower ADG in the preweaning period, although no differences in plasma IgG or IgM after colostrum intake were seen. Nutritional restriction of dams during the last 15 days of gestation (straw only vs. grass silage) resulted in lower serum IgG1 and total IgG concentrations in their calves [29]. In contrast, restriction of beef heifer nutrition to 70% metabolizable energy and protein requirements starting at 160 days of gestation until calving resulted in greater serum IgG and IgA concentrations (P ≤ 0.03) in their calves, although those calves showed less vigor at birth (P = 0.05) and needed longer to stand after birth (P = 0.02) [52]. Apperson et al., [53] demonstrated that calves born to cows fed selenium-biofortified alfalfa hay in the last trimester of pregnancy and received colostrum within the first 12 h of age had higher serum ovalbumin (a surrogate protein marker for IgG absorption) concentrations at 24 and 36 h of age compared to control calves suggesting that selenium supplementation of dams can improve passive transfer. Wallace et al., [54] reported that feeding Selenium-biofortified hay to beef cows during the last 8 to 12 weeks of gestation improved selenium status in cows and their offspring, as well as the IgG1 concentrations in colostrum compared to cows receiving control hay. However, calf serum IgG1 concentration was not improved in calves from cows receiving the fortified alfalfa hay. Late-gestation supplementation of rumen protected essential fatty acids (EFA) to the diet of beef cows such as safflower or sunflower seeds, or cottonseed meal, increased serum fatty acid concentrations (P < 0.001), colostrum IgG, and calf serum IgG (P < 0.01) and increased calf growth up to weaning (P < 0.01) [55]. Protein supplementation of 1 kg/day for 14 days prepartum tended to increase calf growth in Droughtmaster cattle in a dry tropical environment. Addition of the protein supplementation (P = 0.08) or a yeast product (P = 0.10) tended to increase plasma IgG concentration in calves. Yeast product addition increased serum total protein (P = 0.03) and plasma globulin concentration (P = 0.05) in calves [56]. Results obtained by Wojtas et al., [57] suggest that addition of soy lecithin as fat additive (powdered soy lecithin 20 g/cow/day) in the diet of beef cows during the last 4 weeks before calving may have a beneficial impact on colostrum composition by increasing linoleic acid in colostrum (P = 0.049). However, no difference in serum IgG concentration between calves from dams with or without supplementation was seen. Supplementation with corn dried distiller’s grains plus soluble (DDGS) at 0.30% of BW, providing protein and energy during late gestation to beef cows, had no effect on plasma IgG or protein concentrations in calves, but resulted in heavier calves at weaning (P = 0.04) [58]. Addition of mannan oligosaccharide to winter supplement from late gestation through 30 d of lactation in spring-calving beef cows in the form of Bio-Mos limited the loss of BCS following parturition (P = 0.10) and from study start through weaning (P = 0.05). However, Bio-Mos supplementation to dams did not improve the transfer of passive immunity to the calf, nor did it improve calf growth performance [59]. Supplementation of 1,000 IU of vitamin E per day from 6 weeks prepartum until the breeding season to beef cows increased colostrum concentrations of α-tocopherol, and increased α-tocopherol concentration in calves at birth but passive transfer of IgG did not differ in calf serum or cow colostrum due to maternal vitamin E supplementation [60]. Addition of a mineral and vitamin supplement throughout gestation to the diet of beef heifers resulted in no differences in serum concentrations of IgG, IgM, IgA, and total Ig in their calves [61]. Similarly, compared to a basal diet meeting all nutritional requirements except Cu, Zn, and Mn, the addition of inorganic or methionine chelates of Cu, Zn, and Mn at 133% of requirements or a combination of inorganic and chelated Cu, Zn, and Mn at 100% of requirements during the last trimester of gestation and until 11 days postpartum in multiparous beef cows did not result in differences in serum IgG, IgA, or IgM, or any production parameters in their calves [62].

3.6.6. Calving Area

The observational study by Filteau et al. [14] evaluated the type of indoor calving area and found calves born in a stanchion stall to have 10.2 times higher odds of FPT than those born in a stall or pen (95% CI 2.6 – 39.6).

3.6.7. Calving Difficulty

Five studies reported that difficult calving or dystocia is a risk factor for either FPT [8], lower serum IgG [33,63], inadequate passive immunity of < 24g/L serum IgG [34] or failure of colostrum consumption by 4 hours after birth [26] in beef calves. In this last study, calves with a weak suckle reflex had 41.6 times greater odds of failed colostrum consumption within 4 hours compared to calves with a strong suckle reflex (P < 0.0001). Only one study failed to detect the same trend in Brahman calves [30].

3.6.8. Genetics and Heritability

Four studies explored heritability and whether there are any genetic markers that are associated with passive immunity measures. The genome-wide association study by Johnston et al. [64] found low heritability (0.02 – 0.10) of passive-immunity-associated traits in beef calves. One SNP, however, reached Bonferroni genome-wide significance for an association with serum IgG concentration. Several SNPs in the analysis for various other passive transfer parameters approached significance. Similarly, Altvater-Hughes et al. [38] found a heritability of 0.14 for colostral IgG and 0.11 for colostral IgM in beef cows. Heritability estimates were also found to be low to moderate for IgG1 in colostrum (0.28) or calf serum (0.36) in a study with primiparous Charolais cows and their calves [63]. A study exploring the various haplotypes of a gene (B2M) encoding part of the immunoglobulin Fc receptor called beta-2-microglobulin found that calves that are homozygous for haplotype B2M 2,2 had 10.6 times higher odds of FPT (95% CI 2.07 – 54.24) than other haplotypes [6].

3.7. Methods of FPT Detection in Beef Calves

For results from studies comparing methods of assessment of passive immunity, cutoffs, and test performance measures see Table 3. A total of 11 studies [17,65,66,67,68,69,70,71,72,73,74] validated methods to assess passive immunity in beef calves by comparing them to radial immunodiffusion (RID), ELISA, optical refractometers or the biuret method. Many of these studies evaluated digital refractometers that provide results faster and at lower cost than the reference standard radial immunodiffusion. Dunn et al. found that serum IgG levels measured with a commercial ELISA kit (Bio-X Diagnostics, Jemelle, Belgium) correlated well with serum IgG levels measured by RID, but there was an almost twofold difference between measured results by the two methods [73]. The source of variance in the results of a commercial IgG RID assay was the focus of a study by Thompson et al. [75]. The authors found that lot and plate contributed minimally to the variance of test results, but intra-assay variance was responsible for most of the variability, meaning that the ring diameter of the same sample varied with each repetition. They also found increased variance in results for samples that required dilution because their precipitin rings were greater than the highest standard and they considered the clinical usefulness of the assay to be limited. All studies mentioned in Table 3 found that the methods under investigation were useful in evaluating passive transfer in beef calves. In particular handheld refractometers or Brix devices offer the advantage of being cheap and user-friendly alternatives to laboratory methods such as ELISA or RID, albeit certain differences exist. For example, Kreuder et al. found that results from the turbidimetric immunoassay (TI) under study frequently underestimated IgG concentrations while TP measured with a digital refractometer had less correlation with RID results but led to fewer misclassifications of passive immunity categories than the TI method [74]. Some methods worked better at one end of the spectrum, e.g., the Smart strips described by Delhez et al. performed better for low than high serum IgG concentrations [72], while the capillary electrophoresis tested by Sustronck et al. showed better results at higher cut-offs of serum IgG for FPT [17].

4. Discussion

In this scoping review, we attempted to provide a comprehensive overview of all existing literature from the last 20 years concerning risk factors and interventions associated with failure of passive immune transfer in neonatal beef calves. We divided the findings into prevalence estimates of FPT in beef calves, associations between FPT and calf health outcomes, factors related to colostrum management, calf or dam related factors, as well as methods of FPT detection. Most studies were conducted during the past ten years, indicating a growing interest in the topic. While almost half of the studies were conducted in North America, there were also a significant number of European countries that contributed studies on the topic, representing a wide mix of breed types. There is a range of study designs, including experimental, observational, and diagnostic accuracy studies with the latter focusing on ways to measure and detect indicators of passive immunity in beef calves. There was often no consensus among studies exploring the same risk factors on the strength or even the direction of the associations.

Prevalence of FPT and Associations with Health Outcomes

The most accepted cutoff for FPT in studies on the prevalence of the condition is 10 g/L serum IgG or IgG1, with some studies using a cutoff of 8 g/L and prevalence estimates ranging between 5.8% and 34.5% in study herds. However, evidence exists that calves with serum IgG levels below 16 g/L or even 24 g/L are still at increased risk of death or disease. Therefore, it may be prudent to strive for serum IgG levels above 24 g/L in beef calves rather than merely avoiding FPT based on the lower thresholds of 8 or 10 g/L IgG concentration.

4.1. Calf-Related Risk Factors

Colostrum Management

While colostrum yield in beef cows is typically lower than in dairy cows, IgG concentrations in colostrum tend to be higher in beef cows [77]. Studies on colostrum feeding type comparing nipple bottle and esophageal feeder or quantity and quality of colostrum often showed no difference in outcomes of TPI. However, studies that compared assistance provided to calves with colostrum intake versus suckling from the dam generally found assistance to be associated with less desirable outcomes, especially in observational studies. Although feeding with an esophageal feeder may come with some drawbacks as explained below, assistance with colostrum consumption may also be confounded by time to feeding in observational studies of calves with low birth vigor. While using an esophageal tube feeder is convenient and speedy, it is important to note that this method does not trigger the esophageal groove reflex during colostrum administration. Consequently, colostrum is deposited into the reticulorumen. Hence, tube feeding may pose a potential drawback as the delayed emptying of colostrum from the forestomaches into the small intestine may lead to reduced absorption of IgG [78]. In contrast, when a nipple bottle or nipple bucket is used for colostrum feeding, suckling triggers the esophageal groove reflex. This reflex results in the direct deposition of colostrum into the abomasum, facilitating rapid emptying into the small intestine for absorption. However, calves that will not voluntarily suckle from their dam or a bottle have no other alternative than to be fed via esophageal feeder. Achieving optimal TPI in those calves lacking vigor at birth may present an ongoing challenge to cow-calf producers but attempts should be made to improve TPI in this group of calves.
Beef cows produce higher IgG1 concentrations in first-milking colostrum compared to dairy cows (e.g., 113.4 vs. 42.7 mg/mL) [79] and may be different in their antibody composition. Most available colostrum products are derived from dairy colostrum, serum, or whey. Whether colostrum products specifically formulated from beef cows may be more beneficial for feeding beef calves than those produced from dairy colostrum or serum was not the topic of any of the studies in this review.
During the last 20 years, only one study [31] examined the bacterial content of colostrum in terms of differences in the microbiome between low- and high-quality colostrum in two beef cattle breeds. Microbes present in colostrum may be associated with TPI in neonatal calves and may affect IgG absorption. Further studies exploring the factors, whether they are genetic, environmental, or due to management, associated with the abundance of various microbial species and their role in colostrum quality and absorption are desirable.

Calf Sex, Twin Status, Birthweight

Calf sex, twin status, or birthweight as risk factors for FPT all appear to be confounders for difficult birth and may not be associated with differences in TPI when controlling for dystocia. Calving difficulty on the other hand was commonly associated with adverse TPI outcomes, as calves may suffer from trauma, hypoxia, and/or acidemia [80], all resulting in low calf vigor. Dystocia may also be associated with poor bonding between dam and calf [81], which, of course, may also lead to delays in colostrum uptake by calves. Dystocia and its effects may be reduced through good heifer replacement management, selecting sires with a high calving ease direct score, and appropriately timed calving interventions [80]. Observational or experimental studies including risk factors related to calving management may be useful in underlining the benefits of good calving management rather than relying on factors that are not on a direct causal pathway.

4.2. Dam Related Factors

4.2.1. Dam Breed, and Body Condition

The studies that included dam breed as a risk factor for TPI covered a multitude of different breeds. There are no clear patterns as to breed advantages as individual differences may be a large contributor to variability, although Angus and Charolais purebred cows had lower colostral IgG concentrations than crossbred cows in two studies [40,41]. Crossbreeding is a common practice in the beef industry to combine desirable traits from multiple breeds [82]. There may be a heterosis advantage for crossbred cattle that could be further evaluated for the major beef breeds and their crosses. It was surprising to see that studies found no association between dam BCS and FPT. In a previous experimental study, calves from heifers with a BCS of 3 or 4 had lower serum IgG concentrations than those from heifers with a BCS of 5,6, or 7, while there was no difference in colostral IgG concentration [81]. The authors attribute the lower serum IgG concentrations in calves from heifers with lower BCS to decreased volume of colostrum, or decreased calf vigor. The effect seems to be more pronounced in heifer dams that are still growing, while in older cows BCS is less of a risk factor for FPT.

Calving Difficulty

Based on the study conducted by Homerosky et al. [26], it is recommended that a calf with a weak suckle reflex at birth receive human intervention to ensure timely colostrum consumption, regardless of calving ease although in extensive outdoor calving environments this may not always be feasible. Additionally, calves undergoing a difficult birth should likely be closely monitored for colostrum consumption, even those with a strong suckle reflex. Monitoring calves that had a difficult birth and providing timely colostrum to them is likely among the most important measures producers can take to prevent FPT.

4.2.2. Dam Nutrition

Most studies that focused on improving cow nutrition in late gestation have shown some advantage over control diets in parameters important for cow or calf health and/or reproductive or growth performance. Whether these advantages are of significance to herd health or whether they are economically viable may depend on each situation. For example, feeding selenium bio-fortified hay may only be of importance if the regular feed source of cattle is deficient in selenium or where supplementation with other forms of selenium may not be feasible. Economic assessments were rarely included in studies, however, whether or not a particular feeding management practice is economically viable also must be assessed on a case-by-case basis. Many of the studies evaluated either showed no improvement in colostrum quality with supplementation, or no improved TPI in calves with supplementation despite better colostrum quality in supplemented dams [29,51,52,54,57,58,59,60,61,62]. A few studies showed improvements in TPI parameters [53,55,56]. It is difficult to compare studies with different outcomes, different ways to measure the outcomes, and herd and environmental differences between studies. The benefits of fetal programming are not evaluated or measured in this review, however, dam nutrition seems to play a minor role in the assurance of TPI in beef calves despite a large body of available studies.

4.2.3. Dam Prepartum Vaccination

All studies on dam prepartum vaccination were able to provide evidence for transfer of immunity from dams to calves through colostrum consumption. Recent studies by Gamsjäger et al. [48,49] found that higher E. coli, BRoV, BVDV, PI-3 and BHV-1-specific IgG concentrations by vaccinating dams in the pre-calving period were significantly associated with lower odds for pre-weaning treatment. Therefore, prepartum vaccination of beef cows could be used as a preventive strategy to decrease the occurrence of respiratory and digestive diseases in neonatal beef calves especially early in life when the calf’s own immune system is still underdeveloped. Some authors monitored the decline in maternal antibodies in calves and based calf vaccination recommendations on those observations. We only evaluated the studies published since 2003, but a vast body of literature has been published on the topic prior to our cutoff date, and we refer to these studies on specific vaccines or diseases.

4.2.4. Genetics and Heritability

Heritability estimates for FPT in beef breeds were low to moderate in the studies evaluated in this review. Nevertheless, genetic markers have been identified [6,64] that are associated with FPT and further research in this area may be warranted. It remains to be seen whether selection for passive immunity will be more valuable than proper herd health measures in preventing calves with FPT.

4.1.2. Methodology to Assess FPT in Beef Calves

A variety of methods were evaluated in studies on determining cutoffs for FPT in beef calves. Table 4 provides a reference to compare various methods to a reference standard, mostly radial immunodiffusion with measures of accuracy. For herd health purposes, digital or optical refractometers may provide a viable alternative to more time and resource demanding laboratory methods. New improved technology will likely continue to become available in the future and further studies should be consulted for updates.
The most recent and commonly used tools for detection of passive immunity in calves are Brix refractometers, which approximate the percentage of total solids (% Brix) in fluids such as calf serum. Brix refractometers are available in optical or digital versions, with the latter being more attractive as it provides a quick and objective measurement of the Brix percentage in the sample.
One study assessed the effectiveness of an immunochromatographic assay kit called SmartStrips™, developed by Bio-X Diagnostics, for detecting passive immunity [72]. These assays are conducted using whole blood for practical convenience, eliminating the need to wait and centrifuge blood to obtain serum. Despite being run on whole blood, the results are expressed in serum IgG concentrations (mg/mL). The test principle is the competition between bovine IgG in the sample and bovine IgG coated on the test line for the gold-labeled mobile antibodies specific to bovine IgG. The SmartStripsTM immunochromatographic assay can identify calves with poor TPI (serum IgG < 10 mg/mL).

5. Conclusions

TPI is clearly a multi-factorial process with individual variability that is not easily attributed to specific factors in isolation. Interest in defining risk factors for FPT and defining best management practices for assuring optimal TPI has been growing over the last decade – a trend that will hopefully continue to provide more information on the topic to veterinarians and producers in the field.
Serum IgG concentrations more than 16 mg/mL have been suggested as indicating adequate passive immunity transfer in beef calves, while 24 mg/mL has gained acceptance as the threshold for optimal TPI based on studies showing improved health outcomes for those calves.
Good breeding and calving management, and assessment of the newborn calf for vigor combined with other aspects of herd health such as a vaccination program and nutrition may be the most important determinants of TPI in beef calves.
As FPT is a major cause of morbidity and mortality among young calves, efforts to increase producer knowledge about ways to improve passive immunity in calves, and ways to reduce known risk factors may enable them to improve calf health and performance.

6. Future Directions

Further research is warranted on colostrum replacer products derived from beef cows as their antibody profile and colostrum composition may differ from those of dairy cows that are the source of currently marketed colostrum replacer products. Additional studies on the microbiome of beef colostrum could result in a better understanding of the microbial composition in various qualities of colostrum. More targeted studies trying to unravel how crosses of the major beef breeds compare to purebred cattle in terms of their colostrum quality may be helpful for breeding decisions in commercial herds along with further studies on any genetic markers for colostrum quality. Finally, inclusion of breeding management as a risk factor for FPT may be helpful in further solidifying the association between dystocia and FPT.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org, Table S1: Search string for CAB Direct (via CABI) database. Search terms were developed with a combination of terms related to the study population, intervention (colostrum, vaccine) and outcome (passive immunity); Table S2: Search string for PubMed database. Search terms were developed with a combination of terms related to the study population, colostrum, and the other outcomes; Table S3: Search string for Scopus database. Search terms were developed with a combination of terms related to the study population, colostrum, and the other outcomes. Table S4: List of articles in scoping review including authors, title, year of publication, journal, doi, topic for inclusion, study design, country of study location, breeds of cattle in study, and number of cattle in study.

Author Contributions

Conceptualization, E. A. and G. M.; methodology, E. A., E. F. and G. M.; software, E. A., E. F. and G. M; validation, E. A., E. F. and G. M; formal analysis, E. A. and G. M.; investigation, E. A., E. F. and G. M; resources, E. A., E. F. and G. M; data curation, E. A. and G. M; writing—original draft preparation, E. A.; writing—review and editing, E. A., E. F. and G. M; visualization, E. A. and G. M.; supervision, E. A. and G. M.; project administration, G.M.; funding acquisition, E. A. and G. M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by California Department of Food and Agriculture (CDFA), grant number 22-1915-000-SG.

Institutional Review Board Statement

Not applicable

Informed Consent Statement

Not applicable

Data Availability Statement

The search strings for the databases utilized in the literature search are provided in the supplemental materials. A list of articles included in the scoping review is also available as a supplement.

Acknowledgments

Not applicable

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. Flow chart of studies published between 2003 and 2025 identified in a database search and reasons for exclusion from a literature review on risk factors for failure of transfer of passive immunity in neonatal beef calves.
Figure 1. Flow chart of studies published between 2003 and 2025 identified in a database search and reasons for exclusion from a literature review on risk factors for failure of transfer of passive immunity in neonatal beef calves.
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Figure 2. The number of studies that were conducted to identify prevalence of failure of transfer of passive immunity (FPT), risk factors associated with FPT in beef calves or the association between FPT and health outcomes in neonatal beef calves, or the diagnosis of FPT published each year from 2003 to 2025.
Figure 2. The number of studies that were conducted to identify prevalence of failure of transfer of passive immunity (FPT), risk factors associated with FPT in beef calves or the association between FPT and health outcomes in neonatal beef calves, or the diagnosis of FPT published each year from 2003 to 2025.
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Table 1. Number of extracted studies and their characteristics as risk factors for failure of transfer of passive immunity (FPT), associations between FPT and health outcomes, methods of FPT detection, or prevalence estimates of FPT in beef calves from 2003 to 2025. A study may be counted in more than one category.
Table 1. Number of extracted studies and their characteristics as risk factors for failure of transfer of passive immunity (FPT), associations between FPT and health outcomes, methods of FPT detection, or prevalence estimates of FPT in beef calves from 2003 to 2025. A study may be counted in more than one category.
Topics, risk factors, or interventions Number of studies
Prevalence estimates of FPT in beef calves 5
Association between FPT and calf health outcomes 8
Factors related to colostrum management
 Colostrum quantity or volume fed 1
 Colostrum quality (IgG concentration or source) 3
 Timing of colostrum feeding 2
 Colostrum microbial content 1
 Colostrum feeding method 8
Factors related to calves
 Calf sex or twin status 6
 Calf vigor at birth 3
 Reproductive technologies used during breeding 1
 Calf birth weight 3
 Month of birth 1
Calf cortisol and epinephrine levels 1
Factors related to dams
 Dam body condition score (BCS) or udder conformation 5
 Dam breed 8
 Dam prepartum vaccination 7
 Dam parity 10
 Dam prepartum nutrition 13
 Calving area (type and location) 1
 Calving difficulty 8
 Genetics and heritability 4
Methods of FPT detection in beef calves 11
Table 2. Number of extracted studies and countries where studies were performed, and study design used, as well as breed types of cattle used in experiments in a scoping review of studies on FPT in beef calves published from 2003 to 2025.
Table 2. Number of extracted studies and countries where studies were performed, and study design used, as well as breed types of cattle used in experiments in a scoping review of studies on FPT in beef calves published from 2003 to 2025.
Country where study was conducted n Study design n Breed n
USA 18 Randomized controlled trial 28 Crossbred 32
Canada 13 Cohort study 13 Angus 10
Ireland 9 Diagnostic accuracy study 12 Charolais 9
Brazil 5 Cross-sectional study 11 Belgian Blue 6
Belgium 4 Case-control study 1 Limousin 6
France 4 Simmental 4
Italy 4 Hereford 3
Great Britain 2 Brahman 2
Australia 1 Chianina 2
Korea 1 Nelore 2
New Zealand 1 Aberdeen 1
Poland 1 Aubrac 1
Spain 1 Blonde d’Aquitaine 1
Turkey 1 Droughtmaster 1
Hanwoo 1
Padra de Montana 1
Pirenaica 1
Salers 1
Table 3. Cutoffs for diagnostic assays for indicators of passive immunity in beef calves and outcomes assessed in studies published between 2003 and 2025.
Table 3. Cutoffs for diagnostic assays for indicators of passive immunity in beef calves and outcomes assessed in studies published between 2003 and 2025.
Reference Method Cutoff Outcome Effect measure (95 % CI)
Filteau et al., 2003 [14] Radial immunodiffusion serum IgG1 < 10.0 g/L No association between FPT and health status (P = 0.17) in calves 24 h to 7 d old
Waldner and Rosengren, 2009 [15] Radial immunodiffusion serum IgG < 8 g/L
< 16 g/L
No association between FPT and calf death or treatment (P > 0.25)
< 24 g/L Calf death before 3 months of age
OR 1.6 (1.1- 2.3)
Calf treatment for any reason
OR 1.5 (1.0 – 2.3)
Perrot et al., 2023 [18] Serum % Brix < 8.1 No association between prevalence of omphalitis and FPT (P = 0.86)
Serum total protein <5.1 g/dL No association between prevalence of omphalitis and FPT (P = 0.63)
Bragg et al., 2023 [19] Radial immunodiffusion serum IgG Every g/L increase Death and/or treatment for disease within 9 months
OR 0.97 (0.95 – 0.99)
Dewell et al., 2006 [7] Radial immunodiffusion serum IgG1 < 2,400 mg/dL Disease before weaningLikelihood ratio 1.6 (1.19 – 2.28)
Death before weaning: Likelihood ratio 2.7 (1.34 – 5.36)
≥ 2,700 mg/dL 3.4 kg higher body weight at 205 days
Gamsjäger et al., 2023 [20] Radial immunodiffusion serum IgG1 < 10.0 g/L Treatment for disease
OR 7.9 (2.7–23.7)
Mortality
OR 18.5 (3.7–93.4)
< 24.0 g/L Mortality
OR 10.1 (2.6–40.2)
Martin et al., 2021 [21] Radial immunodiffusion serum IgG levels < 10g/L Mortality
Chi squared test compared to calves with IgG levels > 20 g/L, P < 0.001
Todd et al., 2018 [22] Serum total protein, digital refractometer < 5.8 g/dL Morbidity any cause (0 – 6 months)
OR 1.6 (1.1 – 2.3)
< 5.8 g/dL BRD (0 – 6 months)OR 2.3 (1.2 – 4.3)
< 6.3 g/dL Other causes of disease (0 – 3 months)OR 2.5 (1.2 – 5.3)
< 5.3 g/dL Mortality (0 – 6 months)OR 3.9 (2.0 – 7.7)
Serum IgG ELISA < 8 mg/ml Morbidity any cause (0 – 3 months)
OR 2.0 (1.3 – 2.9)
< 8 mg/ml BRD (0 – 1 months)OR 4.5 (1.4 – 14.5)
< 8 mg/ml Other causes of disease (0 – 1 months)OR 1.8 (1.0 – 3.1)
< 9 mg/ml Mortality (0 – 6 months)OR 2.8 (1.4 – 5.8)
Serum total protein, clinical analyzer < 61 g/L Morbidity any cause (0 – 3 months)
OR 1.5 (1.1 – 2.2)
< 56 g/L BRD (0 – 1 months)OR 6.2 (1.7 – 22.6)
< 61 g/L Other causes of disease (0 – 6 months)OR 2.1 (1.2 – 3.7)
60 g/L Mortality (0 – 6 months)OR 4.3 (1.8 – 10.1)
Serum IgG globulin, clinical analyzer 26 g/L Morbidity any cause (0 – 3 months)
OR 1.6 (1.1 – 2.4)
32 g/L BRD (0 – 1 months)OR 6.3 (1.3 – 29.8)
40 g/L Other causes of disease (0 – 1 months)OR 3.1 (1.2 – 8.0)
32 g/L Mortality (0 – 6 months)OR 3.4 (1.5 – 7.5)
Serum IgG Zinc sulphate turbidity, units 12 g/L Morbidity any cause (0 – 3 months)
OR 1.8 (1.3 – 2.6)
14 g/L BRD (0 – 1 months)OR 11.2 (2.1 – 60.4)
18 g/L Other causes of disease (0 – 1 months)OR 2.2 (1.1 – 4.3)
14 g/L Mortality (0 – 6 months)OR 3.4 (1.6 – 7.0)
Serum total solids percentage, Brix 8.4% Morbidity any cause (0 – 6 months)
OR 1.5 (1.1 – 2.2)
8.4% BRD (0 – 1 months)OR 7.2 (1.8 – 30.0)
8.4% Other causes of disease (0 – 6 months)OR 1.7 (1.1 –2.9)
8.4% Mortality (0 – 6 months)OR 2.8 (1.4 – 5.6)
Table 4. Comparison of various diagnostic methods to detect FPT in beef calves and in studies published between 2003 and 2025.
Table 4. Comparison of various diagnostic methods to detect FPT in beef calves and in studies published between 2003 and 2025.
Reference Reference Method and Cutoff Comparative Method and Cutoff Measures of Test Performance
Dunn et al. 2018 [73] Radial immunodiffusion serum IgG concentration Commercial serum ELISA R2 = 0.97, P < 0.001
Fixed bias (sRID – ELISA) = 12.36 ± 6.60 mg/mL
Zinc sulphate turbidity R2 = 078, P<0.001
Akköse et al. 2021[65] Radial immunodiffusion serum IgG concentration Digital Brix refractometer
< 10 mg/mL < 8.5% Se 100% (95% CI 87.9 – 100), Sp 94.2% (95% CI 89.6 – 97.2)
< 16 mg/mL < 8.5% Se 92.1% (95% CI 78.6 – 98.2)
Sp 97.6% (95% CI 93.9 - 99.3)
< 24 mg/mL < 10.1% Se 88.8% (95% CI 79.7 – 94.7)
Sp 67.2% (95% CI 58.1 – 75.4)
Digital serum total protein refractometer
< 10 mg/mL < 5.2 g/dL Se 100% (95% CI 87.9 – 100), Sp 93.6% (95% CI 88.9 – 96.8)
< 16 mg/mL < 5.2 g/dL Se 92.1% (95% CI 78.6 – 98.2)
Sp 97.0% (95% CI 93.0 - 99.0)
< 24 mg/mL < 6.4 g/dL Se 87.5% (95% CI 78.2 – 93.8)
Sp 69.7% (95% CI 60.7 – 77.7)
Delhez et al., 2021[72] Bovine IgG ELISA Immunochromatographic assay for serum IgG with EDTA blood
< 10 mg/mL < 10 mg/mL Se 83% Pr 94%
10.0 – 14.9 mg/mL 10.0 – 14.9 mg/mL Se 78% Pr 58%
15.0 – 19.9 mg/mL 15.0– 19.9 mg/mL Se 50% Pr 86%
> 20.0 mg/mL > 20.0 mg/mL Se 100% Pr 70%
Immunochromatographic assay for serum IgG with heparin blood
< 10 mg/mL < 10 mg/mL Se 96% Pr 81%
10.0 – 14.9 mg/mL 10.0 – 14.9 mg/mL Se 72% Pr 90%
15.0 – 19.9 mg/mL 15.0– 19.9 mg/mL Se 50% Pr 43%
> 20.0 mg/mL > 20.0 mg/mL Se 74% Pr 70%
Drikic et al. 2018 [70] Radial immunodiffusion serum IgG concentration Split trehalase IgG assay
24 mg/mL OD 450 nm 0.3 Se 69.2% Sp 97.2%
Gamsjäger et al. 2021 [66] Radial Immunodiffusion serum IgG Digital Brix refractometer
< 10 g/L ≤ 7.9% Se 81.2% (95% CI 54.4 – 96.0)
Sp 94.8% (95% CI 92.0 – 96.8)
< 16 g/L ≤ 8.3% Se 88.2% (95% CI 72.5 – 96.7)
Sp 90.9% (95% CI 87.5 – 93.7)
< 24 g/L ≤ 8.7% Se 80.0% (95% CI 68.7 – 88.6)
Sp 93.0% (95% CI 89.6 – 95.5)
Digital and optical serum total protein refractometers
< 10 g/L ≤ 5.1 g/dL Digital
Se 100% (95% CI 79.4 - 100)
Sp 91.4% (95% CI 88.1 – 94.0)
Optical
Se 100% (95% CI 79.4 - 100)
Sp 93.7% (95% CI 90.8 – 95.9)
< 16 g/L ≤ 5.1 g/dL Digital:
Se 94.1% (95% CI 80.3 – 99.3) Sp: 95.3% (95% CI 92.6 – 97.3)
Optical:
Se 85.3 (95% CI 68.9-95.0)
Sp 97.0 (95% CI 94.7-98.5)
< 24 g/L ≤ 5.7 g/dL Digital:
Se 95.7 (95% CI 88.0-99.1)
Sp: 93.3 (95% CI 90.0-95.7)
Optical:
Se 91.4 (95% CI 82.3-96.8)
Sp 91.2 (95% CI 87.5-94.0)
Kreuder et al., 2022 [74] Radial Immunodiffusion serum IgG Turbidimetric immunoassay
< 18.0 g/L 9.89 g/L Se: 0.910 (95% CI 0.861-0.951)
Sp: 0.888 (95% CI: 0.772 – 1)
< 25.0 g/L 13.76 g/L Se: 0.813 (95% CI 0.729-0.885)
SP: 0.818 (95% CI 0.712-0.909)
Digital serum total protein refractometer
< 18.0 g/L 5.5 g/dL Se: 0.818 (95% CI 0.761-0.869)
Sp: 0.75 (95% CI 0.55-0.9)
< 25.0 g/L 6.0 g/dL Se: 0.756 (95% CI 0.677-0.827)
Sp: 0.754 (95% CI 0.652-0.855)
Serum gamma-glutamyl transferase
< 18.0 g/L 2303 IU/L Se: 0.737 (95% CI 0.669-0.8)
Sp: 0.7 (95% CI 0.5-0.9)
< 25.0 g/L 1831 IU/L Se: 0.905 (95% CI 0.849-0.952)
Sp: 0.406 (95% CI 0.290-0.522)
Pisello et al., 2021 [76] Radial Immunodiffusion serum IgG Digital serum total protein refractometer
< 16 g/L 51 g/L Se 63% Sp 96%
Optical serum total protein refractometer
< 16 g/L 52 g/L Se 69% Sp 90%
Digital Brix refractometer
< 16 g/L 8.3% Se 77% Sp 92%
Optical Brix refractometer
< 16 g/L 8.3% Se 66% Sp 92%
De Souza et al., 2015 [69] Serum total protein optical refractometer Serum total protein digital refractometer No specific values mentioned, Pearson correlation between method results = 0.9588
Sustronck et al. 2022 [17] Radial immunodiffusion serum IgG Digital Brix refractometer
10 g/L 8.4% Se 80.9 (95% CI 67.6–91.3)
Sp 89.5 (95% CI 81.9–96.5)
15 g/L 8.9% Se 77.9 (95% CI 69.0–86.0)
Sp 90.2 (95% CI 78.7–97.7)
20 g/L 9.4% Se 89.6 (95% CI 84.3–94.1)
Sp 88.3 (95% CI 68.5–98.4)
Serum protein capillary electrophoresis
10 g/L 10 g/L Se 81.8% (95% CI 68.0–92.5)
Sp 91.0% (95% CI 83.5–97.7)
15 g/L 15 g/L Se 92.4% (95% CI 85.4–97.6)
Sp 80.0% (95% CI 65.6–91.5)
20 g/L 20 g/L Se 98.3% (95% CI 95.1–99.9)
Sp 87.6% (95% CI 63.0–98.7)
Vandeputte et al., 2011 [68] Serum IgG with biuret method Serum total protein handheld refractometer with Automatic Temperature Compensation (ATC), Atago conversion
1600 mg/dL 58 g/L Se 100% (95% CI 82 – 100)
Sp 90% (95% CI 82.1 – 94.6)
Serum total protein handheld refractometer with ATC, Wolf conversion
1600 mg/dL 54 g/L Se 100% (95% CI 82 – 100)
Sp 93.3% (95% CI 86.2 – 96.9)
Serum total protein standard laboratory refractometer without ATC, Atago conversion
1600 mg/dL 56 g/L Se 100% (95% CI 82 - 100)
Sp 91.1% (95% CI 83.4- 95.4)
Serum total protein digital ATC handheld
1600 mg/dL 56 g/L Se 100 (95% CI 82 – 100)
Sp 92.2 (95% CI 84.8 – 96.2)
Abbreviations: Se – Sensitivity, Sp – Specificity, Pr – Precision, Acc: Accuracy.
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