Early versus late body condition score loss in dairy cows: Reproductive performance

doi:10.21203/rs.3.rs-2062412/v1

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Early versus late body condition score loss in dairy cows: Reproductive performance

https://doi.org/10.21203/rs.3.rs-2062412/v1

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published 05 Apr, 2023

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This study aimed to compare milk production and reproductive performance in high yield Holstein cows that lose BCS early and late in the postpartum period. Lactating dairy cows (n = 76) were received first timed AI at 60 to 75 DIM using the farm-managed estradiol-progesterone-GnRH based timed AI protocol. The BCS of all cows was daily evaluated by automated BCS cameras. Aiming to evaluate the effect of the days in milk (DIM) in which a cow reached the nadir BCS on the reproductive parameters, cows were separated into two groups: Early BCS loss (n = 42), cows that reached the nadir BCS ≤ 34 DIM, and Late BCS loss (n = 34), cows that reached the nadir BCS > 34 DIM. The optimal cut-off point for determining the relationship between days to nadir BCS and pregnancy by 150 DIM (P150) was calculated using the receiver operating characteristic (ROC) curve. From the ROC analysis the cut-off was 34 DIM (Se, 80.9%; Sp, 66.7%; AUC, 0.74; P < 0.01). No differences (P>0.05) were detected between groups on the BCS and milk production. The average of milk production in both groups was 46.65 ± 6.15 Kg/day. Cows that reached the nadir BCS Early postpartum presented lower (P < 0.01) calving interval, and greater (P < 0.01) pregnancy at first AI and P150. In summary, cows that lost BCS early had better reproductive performance and had similar milk yield compared with cows that lost BCS late in the postpartum period.

Milk

Ovulation

Pregnancy

Timed AI

Dairy cows commonly lose body condition score (BCS) in the postpartum period due to physiological changes at the beginning of lactation that impact their metabolism. Several studies on dairy cows have quantified the effect of BCS on health (Markusfeld et al., 1997; Berry et al. 2007; Middleton et al., 2019), fertility (Gillund et al. 2001; Roche et al. 2007a; Carvalho et al., 2014; Gobikrushanth et al., 2019; Middleton et al., 2019), and milk yield (Waltner et al. 1993; Ruegg and Milton 1995; Domecq et al. 1997; Gobikrushanth et al., 2019). Cows that lose less or maintain BCS during the first weeks of lactation have lower serum concentrations of β-hydroxy-butyrate (ßHB) and non-esterified fatty acids (NEFA; Carvalho et al., 2014; Barleta et al., 2017), a decrease in the incidence of clinical and subclinical metabolic diseases and a reduction in calving interval, which enables these females to reach high fertility cycles (HFC) and, consequently, to exhibit calving intervals of up to 13 months (Middleton et al. 2019). These HFC, which should be the goal for milk production systems, are productive cycles where cows have reduced loss of BCS during the postpartum period (PPP) and, consequently, are more likely to conceive at the beginning of the service period.

The intrinsic ability of a dairy cow to address the energy requirements demanded by lactation will determine its health and, consequently, its reproductive performance during the PPP (Ribeiro et al. 2013). In this regard, BCS is an important marker of cow health and an useful tool for monitoring the nutritional status of dairy herds (Heuer et al. 1999). Several studies demonstrated that cows with low BCS or loss of body condition have fewer pregnancies per AI (P/AI) at first service (Domecq et al., 1997; Moreira et al., 2000; Santos et al., 2009, Gobikrushanth et al., 2019). Furthermore, Carvalho et al. (2014) reported a significant increase in P/AI if cows gained or maintained BCS during the first 3 wk postpartum.

Numerous of early studies observed a strong negative relationship between BCS at calving and change in BCS during early lactation (Garnsworthy, 1988; Treacher et al., 1986; Garnsworthy and Jones, 1987; Bourchier et al., 1987). According to Garnsworthy (2007), each dairy cow has a genetically-programmed target BCS that she attempts to reach approximately 10 to 12 weeks after calving. Other studies have focused to establish the relationship between the dynamic of BCS postpartum (loss, maintenance, or gain), milk production, and reproductive performance (Gobikrushanth et al., 2019). Other studies also observed a strong relationship between postpartum loss of BCS and fertility (López-Gatius et al., 2003; Chapinal et al., 2012).

Although the BCS has been used as a tool for managing dairy herds since the 1970s (Lowman et al. 1976) and there is extensive literature that endorses its importance (Edmonson et al. 1989; Waltner et al. 1993; Domecq, et al. 1997; Moreira et al. 2000; Pryce et al. 2000), the relationship between the days in milk (DIM) to nadir BCS and the reproductive performance in high yield dairy cows has not been investigated. Cows that experience extreme loss of BCS need longer postpartum periods to return ovarian activity, and had lower reproductive performance than cows that had a moderate loss of BCS or cows that maintained or gained BCS in the postpartum period (Gobikrushanth et al., 2019). In contrast, one can speculate that cows that quickly lose BCS postpartum and soon start recovering BCS may experience better reproductive performance than cows that takes longer to reach the nadir BCS.

Based on these considerations, the objective of this study was to compare reproductive performance and milk production in high yield Holstein cows that lose BCS early and late in the postpartum period. This study hypothesizes that cows that lose BCS early have better reproductive performance than cows that lose BCS later in the postpartum period.

Animals, housing, and AI

This experiment was conducted on a commercial dairy farm in Carambeí, PR, Brazil. Lactating dairy cows (n = 76) were housed in freestall facilities bedded with sand and had ad libitum access to fresh feed and water. Cows were milked 3 times daily. Cows were fed TMR diets using corn and alfalfa silage as forage and corn- and soybean-meal based concentrates and supplemented with minerals and vitamins. On all farms, TMR diets were balanced by a professional nutritionist using the NRC (2001) nutritional requirements for lactating dairy cows. All cows in the commercial farms received bST every 11 d beginning at 60 DIM (500 mg/dose; Posilac; Monsanto Co., St Louis, MO), until dry-off. Cows received first timed AI at 60 to 75 DIM using the farm-managed at estradiol-progesterone-GnRH based timed AI protocol. Cows received an intravaginal P4-releasing insert (Repro Sync^®, GlobalGen Vet Science, Brasil), 10,5 µg i.m. of GnRH de (2.5 mL of Gonaxal^®, Biogénesis Bagó, Argentina), 2 mg i.m. of estradiol benzoate (2.5 mL of Syncrogen^®, GlobalGen Vet Science, Brasil) on Day 0; 0,5 mg i.m. of Cloprostenol (2 mL of Induscio^®, GlobalGen Vet Science, Brasil) on Day 7; 0.5 mg i.m. of Cloprostenol (2mL de Induscio^®, GlobalGen Vet Science, Brasil), 1 mg i.m. of estradiol cypionate (0.5mL of Cipion^®, GlobalGen Vet Science, Brasil), and the withdrawal of the P4 insert on Day 8. All cows received 10,5 µg i.m. of GnRH (2.5 mL of Gonaxal^®, Biogénesis Bagó, Argentina) and were inseminated on Day 10.

Pregnancy diagnosis was performed 30 d after TAI using a portable scanner (Ibex Pro; E. I. Medical Imaging, Loveland, CO) fitted with a 7.5-MHz linear-array transducer.

Reproductive data such as calving date, date of AI, pregnancy diagnosis, BCS, and milk production were collected from the DelPro Farm Manager.

BCS evaluation

The BCS of all cows was daily evaluated by BCS cameras (DeLaval body condition scoring BCS, DeLaval International AB, Tumba, Sweden), which were mounted on the sort-gate at the exit where cows passed through daily post-milking. As the cow passed under the mounted camera a continuous video (30 FPS, 32,000 captured reference points) was taken and a 3D image from the video was automatically created and saved by the BCS camera software. In a secondary step, the saved 3D images were processed through an algorithm and analyzed to locate the key physical characteristics (pins, tail head ligaments, thurl, sacral ligaments, short ribs, and hooks) of the cow to calculate the automated score, viewable in DelPro Farm Manager (DeLaval International AB, Tumba, Sweden). The algorithm is based on the BCS scoring proposed by earlier studies but was reported in 0.1 increments in this study (Ferguson et al., 1994; Spoliansky et al., 2016). All automated BCS data were recorded and downloaded from DelPro Farm Manager.

Experimental groups

Aiming to evaluate the effect of the DIM of the BCS nadir on the reproductive parameters, cows were separated into two groups: Early BCS loss (n = 42), cows that reached the nadir of BCS ≤ to 34 DIM, and Late BCS loss (n = 34), cows that reached the nadir of BCS > 34 DIM.

The optimal cut-off point for DIM of the nadir of BCS effects in pregnancy by 150 DIM (P150) was calculated using the receiver operating characteristic (ROC) curve and was determined based on the highest sensitivity (Se), and specificity (Sp). Area under the curve (AUC), Se, Sp, and P-value of the ROC test are reported. Therefore, the cut-off value that better establish a relationship between the DIM in which the nadir of BCS was observed and the P150 was 34 DIM. The P150 was chosen as a reference due to cows that became pregnant by 150 DIM presented economic advantages and adequate reproductive performance (calving intervals of ~14 months; adapted from Arbel et al., 2001).

Statistical analysis

Statistical analyses were performed using the SAS program (SAS Institute Inc., Cary, NC, USA), except for ROC calculations and Kaplan-Meier survival analysis, which were performed using GraphPad Prism 5 software (GraphPad Software Inc., La Jolla, CA, USA).

Optimal cut-off points for determining the relationship between the DIM of the nadir of BCS and P150 were calculated using the receiver operating characteristic (ROC) curve. Therefore, cows were separated according to the DIM of the nadir of BCS in Early and Late DIM, and the pregnancy per AI (P/AI) was compared between these groups by Chi-square test.

For the continuous variables such as BCS at calving, the nadir of BCS, DIM of the nadir of BCS, BCS loss, and calving interval, the initial analysis included the effect of sire, age, BCS, and days postpartum in the statistical model. Sire, age, BCS, and days postpartum had no significant effect and were, therefore, excluded from the final statistical model. Thus, these continuous variables were analyzed using ANOVA, and means were compared among groups using Tukey’s post hoc test.

All data obtained from the repeat measurements (BCS, and milk production) were compared between groups by ANOVA using the Mixed procedure to evaluate the main effects of group, time, and their interactions.

Kaplan-Meier survival analysis curves were constructed to illustrate the rate at which cows became pregnant using the Kaplan-Meier survival analysis features of GraphPad Prism 5 software.

From the ROC analysis for determining the relationship between the DIM to nadir BCS and P150, the cut-off was ≤ 34 DIM (Se, 80.9%; Sp, 66.7%; AUC, 0.74; P < 0.01; Figure 1). No differences (P>0.05) were detected between groups on the BCS (Figure 2A) and milk production (Figure 2B) throughout the lactation period. However, there were an effect of time (P<0.05) and the interaction time*Group (P< 0.05) for BCS and milk production (Figure 2). The average milk production in both groups was 46.65 ± 6.15 Kg/day. The average calving-to-pregnancy interval differed (P = 0.01) between groups (Figure 3). Cows in the Early group get pregnant early than cows from the Late group.

No effects (P>0.05) of BCS at calving, the nadir of BCS, and postpartum BCS loss were observed between groups (Table 1). However, cows that reached the nadir of BCS early postpartum presented lower (P<0.01) DIM of the nadir of BCS, calving interval, and greater (P<0.01) pregnancy at first AI and pregnancy at 150 DIM.

Table 1

Dynamics of the BCS and reproductive parameters in Holstein cows that reached the nadir of BCS postpartum Early and Late.

	Group
Parameter	Early	Late	P-Value
BCS at calving	3.31 ± 0.04	3.37 ± 0.05	0.35
Nadir of BCS	2.78 ± 0.06	2.73 ± 0.07	0.62
DIM of the nadir of BCS, days	23.1 ± 3.8	75.6 ± 4.1	<0.0001
BCS loss*	0.58 ± 0.07	0.64 ± 0.07	0.58
Calving interval, days	376.5 ± 19	479.5 ± 20	<0.001
Pregnancy by first AI, %	30.9 (13/42)	8.8 (3/34)	0.01
Pregnancy by 150 DIM, %	52.4 (22/42)	14.7 (5/34)	0.001

The hypothesis of this study was confirmed, cows that lost BCS early postpartum have lower calving interval and greater pregnancy at first AI and P150. However, no differences were observed in milk production and BCS between cows that lost early and late BCS postpartum.

Although the hypothesis of this study was confirmed, more studies are necessary to clarify the relationship between the DIM to nadir BCS, the DMI, and the reproductive performance. The relationship between BCS loss and reproductive efficiency is well known (Lopez-Gautius et al., 2003, Carvalho 2014, Gobikrushanth et al., 2019, Manríquez et al., 2021). Cows that experience extreme loss of BCS need longer postpartum periods to return ovarian activity and had lower pregnancy to first AI and P150 than cows that had moderate BCS or cows that maintained or gained BCS in the postpartum period (Gobikrushanth et al., 2019). Similarly, Middleton et al. (2019) observed that cows that lost less BCS postpartum had less calving interval. However, to the best of our knowledge, no study was designed to investigate the close relationship between days to nadir BCS and DMI.

In an early study Garnsworthy and Topps (1982) observed that although milk peaked in week 6 of lactation in cows that calved thin, medium, and fat, the maximum dry matter intake (DMI) was reached in week 15 for fat, week 11, for medium cows, and week 9 for thin cows. This suggests that cows have a target BCS that they try to attain during lactation. Moreover, according to these authors, the level of body fat had a direct effect on feed intake. Similarly, in the present study, cows that anticipate the days to nadir BCS may also anticipate the increase in the DMI, and, consequently, the BCS recovery and the ingress in a positive energy balance which improve the metabolic condition and the reproductive efficiency in comparison with cows that reached days to nadir BCS later in the lactation. Adequate management of energy body reserves in the transitional period of dairy cows reflects their productive potential, especially for high yielding cows. Therefore, the identification of these cows that are more likely to solve their metabolic condition early postpartum may reflect in better income for dairy producers.

In the present study, we observed that cows that lose BCS early postpartum are gaining BCS by the end of the voluntary wait period and by the first postpartum AI service. In contrast, cows that reached the nadir BCS late in postpartum start increasing BCS after 75 DIM. Even moderate levels of fat tissue mobilization are known to be associated with BEN and reduced fertility in postpartum cows. Several studies indicate that excessive loss of BCS units during the PPP is associated with increased serum concentrations of non-esterified fatty acids, and reduced insulin, as well as with delayed first postpartum ovulation, and reduced pregnancy in the first postpartum AI (Butler et al. 2003; Carvalho, et al. 2014; Middleton et al. 2019). Butler (2005) concluded that there is a 10% reduction in conception rate at first postpartum AI for each BCS unit lost during the PPP. These studies indicate that the loss of BCS units is directly related to reduced fertility during the PPP. In that regard, reducing BCS losses during the PPP increases the chances of cows to reach HFC.

The measurement of residual feed intake in high yielding dairy cows has suggested the possibility of selecting more efficient cows based on the energy balance, milk yield, and health parameters in early lactation. Some cows have lower feed intake and energy balance with no differences in body energy or N changes or yield of energy-corrected milk in early lactation (Marinho et al. 2021). Although the present study did not evaluate feed efficiency, the better reproductive performance observed in cows that reach nadir BCS early could suggest that these cows are more efficient than cows that reach nadir BCS late. Recently, a study observed that the odds of pregnancy at 150 DIM in cows that gain BCS were 1.61 times greater than in cows that had an excessive loss from DIM 5 to DIM 40 (Manríquez et al., 2021). Taken together, these data with the data from the present study demonstrate that not only the amount of BCS loss, but the time in which these losses occurs is also important.

Although the cows enrolled in the present study had different postpartum BCS dynamics, the milk yield was not different between groups. Studies performed to evaluate the effect of BCS on milk production in dairy cows have shown inconsistent results. Some have reported no effect of BCS at calving on subsequent lactation (Pedron et al. 1993; Ruegg and Milton 1995; Domecq, et al. 1997). However, the more consistent finding reported across studies is an association between a greater loss of BCS and higher milk production (Ruegg and Milton 1995; Domecq, et al. 1997; Roche, et al. 2007b). Grainger et al. (1982) reported an increase in milk production at the beginning of lactation associated with an increase in the BCS at calving. Similarly, Berry et al. (2007) observed that Holstein cows in a grazing system with high BCS at calving (4.25 units, 1 - 5 scale) had higher total milk production during 305 DIM and less lactation persistence.

BCS is an important marker to estimate body reserves, as well as the nutritional condition of dairy herds, with direct impacts on the productive efficiency of the system. The present study demonstrated that cows that lost BCS early postpartum have better reproductive performance with no effect on milk production. Although the results of this study observed the effect of days to nadir BCS on the calving interval and P/AI at first AI, further research is warranted to understand the biological processes associated with the time of loss of BCS and its association with reproductive performance in dairy cows. Finally, the identification of the cows that needs longer periods to start to recover BCS after calving and providing adequate nutritional management for those cows may reflect in better income for dairy producers.

Author contribution: LFMP, and RAL were responsible for designing the research, conducting the trial, writing the manuscript, and analyzing the data. SN, and JTS were responsible for data collection. ES conducted statistical analyses and revised the manuscript. All authors read and approved the manuscript.

Funding This project received funding support from Embrapa (MP1/PC3 Project n. 01.03.14.011.00.00) and from CNPq (Universal Project n: 407307/2016-8).
Data availability Data will be made available on reasonable request.

Code availability Not applicable.

Declarations

Ethics approval The Committee for Ethics in Animal Experimentation of the Brazilian Agricultural Research Corporation (Embrapa - Rondônia) approved all animal handling and procedures.

Consent to participate The author agreed to participate in the article.

Consent for publication The author allows the publication of the manuscript.
Conflict of interest The authors declare no conflict of interests.

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Early versus late body condition score loss in dairy cows: Reproductive performance

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