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Revista mexicana de ciencias pecuarias

versão On-line ISSN 2448-6698versão impressa ISSN 2007-1124

Rev. mex. de cienc. pecuarias vol.13 no.1 Mérida Jan./Mar. 2022  Epub 06-Jun-2022

https://doi.org/10.22319/rmcp.v13i1.5932 

Articles

Factors associated with indicators of calf rearing during the lactation period in small-scale dairy farms

Fernando Villaseñor Gonzáleza 

Eliab Estrada Cortésa 

Lilia del Rocío Montes Oceguerab 

Héctor Raymundo Vera Ávilac 

Luis Javier Montiel Olguínd 

Héctor Jiménez Severianod 

Mario Alfredo Espinosa Martínezd  * 

a Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP). Campo Experimental Centro-Altos de Jalisco. Km 8, Carr. Libre Tepatitlán-Lagos de Moreno, Av. Biodiversidad No. 2470. Tepatitlán de Morelos, Jalisco, México.

b Universidad de Guadalajara-CU Altos. Jalisco, México.

c Universidad Autónoma de Querétaro. Facultad de Ciencias Naturales. Querétaro, México.

d INIFAP-Centro Nacional de Investigación Disiciplinaria en Fisiología y Mejoramiento Animal. Querétaro, México.


Abstract

The objective was to evaluate the impact of factors associated with the management of the mother and the quality of colostrum on the calf rearing during lactation, in the small-scale milk production system. In 13 dairy farms, information was obtained on body growth, colostrum feeding and information associated with the mother of 220 Holstein calves. The variables of interest were: morbidity, concentration of immunoglobulins in colostrum (CIC; <110 mg/ml), serum protein concentration (SPC; <6.6 g/dL), daily weight gain (DWG; <0.650 kg/d) and daily height gain (DHG; <0.222 cm/d). The study factors were: body weight at birth (BWB; <42 kg), height at birth (HB; <82 cm), colostrum consumed on the first day (CCFD; <4 l), colostrum consumed on the first day/kg of LW (CFDLW), body condition at calving (BCC; <3), length of the dry period (LDP; >68 d), primiparous cows (PC) and cows without a challenge diet (CWCD). To determine the impact of the study factors on the events of interest, the odds ratio was obtained from multiple logistic regression analyses. The factors identified for morbidity were CCFD and PC (P<0.1). The factors for CIC were LDP and CWCD (P<0.1), while for DWG, it was CWCD (P<0.1). Finally, the factors for DHG were CWCD, BWB, HB and CFDLW (P<0.1). These results suggest that the mother’s nutrition during late gestation has an important impact on the health and body development of calves during lactation. Further studies should determine long-term effects.

Key words Colostrum; Calves; Morbidity; Growth

Resumen

El objetivo fue evaluar el impacto de factores asociados al manejo de la madre y la calidad del calostro sobre la crianza de reemplazos bovinos durante la lactancia, en el sistema de producción de leche a pequeña escala. En 13 unidades de producción se obtuvo información del crecimiento corporal, la alimentación con calostro e información asociada a la madre de 220 becerras Holstein. Las variables de interés fueron: morbilidad, concentración de inmunoglobulinas en el calostro (CIC; <110 mg/ml), concentración de proteína sérica (CPS; <6.6 g/dl), ganancia diaria de peso (GDP; <0.650 kg/día) y ganancia diaria de altura (GDA; <0.222 cm/día). Los factores de estudio fueron: peso corporal al nacimiento (PCN; <42 kg), altura al nacimiento (AN; <82 cm), calostro consumido el primer día (CCPD; <4 l), calostro consumido el primer día/kg de PV (CPDPV), condición corporal al parto (CCP; <3), duración del periodo seco (DPS; >68 días), vacas primíparas (VP) y vacas sin dieta de reto (VSDR). Para determinar el impacto de los factores de estudio sobre los eventos de interés, se obtuvo la razón de momios a partir de análisis de regresión logística múltiple. Los factores identificados para morbilidad fueron CCPD y VP (P<0.1). Los factores para CIC fueron la DPS y VSDR (P<0.1), mientras que para la GDP lo fue VSDR (P<0.1). Finalmente, los factores para GDA fueron VSDR, PCN, AN y CPDPV (P<0.1). Estos resultados sugieren que la nutrición de la madre durante la gestación tardía tiene un impacto importante sobre la salud y el desarrollo corporal de las becerras durante la lactancia. Estudios adicionales deberán determinar los efectos a largo plazo.

Palabras clave Calostro; Becerras; Morbilidad; Crecimiento

Introduction

The most critical phase for the survival of a dairy calf occurs in its first weeks of life, and the events that occur in this period can affect its productive and reproductive performance in the future1,2,3. In highly technified and small-scale production systems, the highest morbidity and mortality rates in calves occur between birth and weaning, mainly due to problems of diarrhea and pneumonia3,4,5. Studies generated in the technified system report mortality and morbidity rates of up to 6 % and 38 %, respectively, during the lactation stage6,7,8. Some risk factors associated with this mortality and morbidity in calves are the low quality of colostrum9, a late administration of colostrum10, dystocia and body condition of the mother prior to calving11, low weight at birth, a low concentration of IgG in serum, diseases during the period prior to weaning and a low consumption of fat in the liquid diet12. However, in the small-scale milk production system in Mexico, the production and management conditions are different from those of the technified systems; there is less efficiency in the rearing process4, milk production levels are lower13, nutritional management is poor14 and reproductive performance is below optimal15. These differences allow questioning whether the risk factors reported in the technified system impact in the same way the indicators of rearing in the small-scale production system. The determination of these factors in this last system would allow implementing or design specific strategies for stables under this production system, in order to improve the rearing of calves. Therefore, the objective of this study was to identify factors associated with indicators of calf rearing in small-scale milk production systems. The working hypothesis is that there are individual risk factors of calves, mother and colostrum associated with the performance of calves during the lactation stage in this production system.

Material and methods

Location

The study was conducted in the Los Altos Sur region of Jalisco (20º 52’ N), in the municipalities of Valle de Guadalupe, San Ignacio Cerro Gordo and Tepatitlán de Morelos. In this region, there is a temperate subhumid climate, with an average annual temperature of 17.8 ºC and an average annual rainfall of 817 mm16.

Information capture

During a nine-month period, information was obtained from 220 Holstein calves from 13 milk production farms with characteristics of the family system of the Los Altos region of Jalisco. The selection of stables was by a convenience sample with the following selection criteria: labor as the main operating support of the production unit, milk production as the primary target of the stable, a range between 10 and 100 cows in production and medium-low levels of technification. With these criteria, the farms met the characteristics of family stables in the region17,18. With the help of a veterinary zootechnician, with years of experience working in clinical practice in the region, and familiar from his participation in previous studies with the collection of samples, measurements and capture of necessary information, the calves were monitored from birth to weaning (71.6 ± 1.1 d), obtaining different growth indicators: weight at birth, weight at weaning, height at birth and height at weaning. From these values, the daily weight gain (DWG) at weaning and the daily height gain (DHG) at weaning were estimated. To estimate body weight, a tape measure specific to Holstein calves (Dairy Calf Tape, Coburn Co., Whitewater WI) was used, measuring their thoracic circumference behind the scapulae, while to record height at the withers, a somatometric ruler (Nasco, Whitewater WI) was used.

On the other hand, information was recorded on events associated with the calving of the mothers of the calves, length of the dry period, body condition at calving, number of calving and whether the mother received a challenge diet prior to calving (they received concentrate in the 2 to 3 wk prior to calving, regardless of its nutritional composition). To estimate the body condition at calving, a scale of 1 to 5 was considered, where a value of 1 corresponds to an animal in a state of wasting and a value of 5 to an obese animal19.

Additionally, the following were recorded: the consumption of colostrum by the calf at the first intake and on the first day, the time elapsed from birth to the first intake of colostrum, the quality of colostrum (mg/ml) and the amount of serum protein (g/dL) in the calves at 48 h after birth. To determine the quality of the first postpartum colostrum, a sample of approximately 250 mL was collected and placed in a bain-marie at a temperature of 22 ºC; once this temperature was reached, the colostrum was deposited in a specimen and the amount of immunoglobulins present (mg/mL) was read by means of a colostrometer (Biogenics©, Mapleton OR). The concentration of total serum protein in the calf, as an indicator of passive immunity transfer failure, was determined in a blood sample obtained from the jugular vein at 48 h of birth; the sample was centrifuged at 2,500 rpm for 15 min and the serum obtained was kept in freezing (-20 ºC) until its analysis by refractometry. To do this, by means of a Pasteur pipette, a drop of the serum was taken, which was kept at room temperature (22 ºC) and deposited in the prism of a portable refractometer (Danoplus, Mod. RETK-70), with automatic temperature compensation and a reading range of 0-12 g/dL, trying to completely cover the surface and avoiding the formation of air bubbles that could distort the reading of the results. The refractometer was focused on a light source and the reading obtained was recorded. Prior to use, the refractometer was calibrated using distilled water and adjusting the calibrator screw, according to the manufacturer’s instructions.

Events of interest

The selected events of interest were morbidity (sick calf at least once in the period from birth to weaning). The calves were monitored for signs of illness by the participating technician, as well as by information provided by the producer. Among the signs considered were lameness, difficulty moving, prostration, loss of appetite, dehydration, fever, cough, nasal or ocular discharges, lethargy and an abnormal consistency in the feces, without considering the length of these signs, nor their severity. Additionally, the remaining events of interest were the concentration of immunoglobulins in the first colostrum less than 110 mg/mL, serum protein concentration less than 6.6 g/dL, DWG less than 0.650 kg/d and DHG less than 0.222 cm/d. The limit values for the different events of interest were established based on the upper quartile of their distribution15, except for daily weight gain at weaning.

Study factors

For the morbidity event, the factors considered were: colostrum consumed on the first day less than 4 l vs greater than or equal to 4 l, colostrum consumed/kg of live weight (LW) on the first day <0.105 vs >0.105 kg, body weight at birth less than 42 kg vs greater than or equal to 42 kg, height at birth less than 82 cm vs greater than or equal to 82 cm, body condition of the mother at calving less than 3 vs greater than or equal to 3, number of calving (first calving vs more than one calving) and offer of a challenge diet to the mother (NO vs YES). For the event serum protein concentration less than 6.6 g/dL, the factors analyzed were: colostrum consumed on the first day, colostrum consumed/kg of LW on the first day, weight at birth, height at birth, body condition of the mother at calving, number of calving, length of the dry period less than 68 d vs greater than or equal to 68 d and offer of a challenge diet to the mother. For the event DWG less than 0.650 kg/d and DHG <0.222 cm/d, the factors analyzed were: colostrum consumed on the first day, colostrum consumed/kg of LW on the first day, weight at birth, height at birth, body condition of the mother at calving, number of calving and offer of a challenge diet to the mother. The limit values for the different study factors were established based on the upper quartile of their distribution15.

Statistical analysis

Statistical analyses were performed using the SAS 9.3 statistical package (SAS Institute Inc., Cary, NC). Initially, descriptive values for the variables considered in the study and their frequency were obtained. To build the multiple models, first, simple logistic regression models between each of the independent variables (study factors) and each event of interest were used, with the LOGISTIC procedure. Factors with significance P≤0.35 were keep to design the multiple models20. Subsequently, simple correlation analyses were performed between study factors to prevent collinearity in multiple models with the FREQ procedure. When the confidence limits of the correlation coefficients did not include 0 (indicating that there is a positive or negative association), both factors were not part of the same model. To obtain the models with the greatest parsimony, the backward option of the LOGISTIC procedure was used to eliminate from the model the study factors that were not significant at a value of P>0.120. Finally, the odds ratios (OR) were obtained from logistic regression analyses, as a measure of association between the events of interest and the study factors21.

Results

Performance indicators

The weight and height of the calves at birth slightly exceeded 40 kg and 80 cm, respectively, with a daily weight gain at weaning of 503 g (Table 1). The liters of colostrum consumed in the first intake and the first day were 2.36 and 4.09, respectively, with more than 4 h, on average, elapsing to perform the first intake of colostrum. The immunoglobulin content in colostrum corresponded to a good quality, although with a wide range of values; the latter situation was similar to that observed in serum protein content and in the length of the dry period. Body condition at calving averaged 2.8.

Table 1 Descriptive statistics of variables associated with the rearing and peripartum management of Holstein cows 

Variable n Average±SD Minimum Lower quartile Upper quartile Maximum
Body weight at birth, kg 207 40.39±2.99 29.00 39.00 42.00 52.00
Weight gain at weaning, kg/d 220 0.503±0.23 0.001 0.397 0.644 1.027
Height at birth, cm 207 80.28±3.38 66.00 78.00 82.00 89.00
Height gain at weaning, cm/d 220 0.168±0.08 0.002 0.122 0.222 0.351
Colostrum consumed in the first intake (l) 115 2.36±0.93 0.50 2.0 3.0 5.00
Colostrum consumed on the first day (l) 207 4.09±0.51 1.00 4.00 4.00 5.50
Colostrum consumed/kg LW, first intake (kg) 115 0.058±0.002 0.012 0.048 0.071 0.125
Colostrum consumed/kg LW, first day (kg) 213 0.102±0.00 0.026 0.095 0.105 0.139
Time to first intake of colostrum, h 119 4.24±3.31 0.35 2.0 6.0 18.00
Immunoglobulins in colostrum, mg/ml 133 81.56±33.74 10.00 85 110 165.00
Serum protein, g/dL 141 5.64±1.32 1.00 4.95 6.60 9.00
Body condition at calving 207 2.80±0.40 2.00 2.50 3.00 4.00
Length of the dry period, days 132 66.54±20.14 31.00 57 68 179.00
Number of calvings 215 1.71±0.45 1 1 2 9

SD= Standard deviation; LW= live weight.

Except for morbidity (29.9 %), the rest of the events had a prevalence of more than 70 % (Table 2). Fifty-three percent of the sick calves were associated with the occurrence of diarrhea, while 24.2 % were associated with respiratory problems suggestive of pneumonia and 22.7 % showed some other sign of illness or alteration. Of the factors under study, consumption of colostrum on the first day less than 4 L was the one with the lowest prevalence (4.3 %), while body weight at birth less than 42 kg, height at birth less than 82 cm, body condition at calving less than 3 and consumption of colostrum on the first day <105 kg/kg LW had prevalences greater than 60 %.

Table 2 Prevalences of events of interest and potential risk factors for calf rearing, included in logistic regression analyses 

Variable %
Events of interest:
Morbidity 29.95
Concentration of immunoglobulins in colostrum <110 mg/mL 74.36
Serum protein concentration <6.6 g/dL 75.00
Weight gain at weaning <0.650 kg/d 74.88
Height gain at weaning <0.222 cm/d 74.40
Study factors:
Body weight at birth <42 kg 69.08
Height at birth <82 cm 63.29
Consumption of colostrum on the first day <4 l 4.35
Colostrum consumed /kg LW, first day (kg) 65.70
Body condition at calving <3 63.29
Length of the dry period ≥68 d 26.92
First calving cows 28.99
Cows without a challenge diet 51.56

LW= live weight.

Association of study factors on events of interest

The simple logistic regression analyses (Table 3) show that for the morbidity event, the four study factors with a P<0.35 that were included in the multiple analyses were colostrum consumed on the first day (P=0.025), colostrum consumed on the first day per kg of live weight (P=0.174), number of calving (P=0.008) and challenge diet (P=0.223). For the event concentration of immunoglobulin less than 110 mg/ml, the only study factors considered were the length of the dry period (P=0.063) and the challenge diet (P=0.005). For serum protein concentration less than 6.6 g/dL, as an indicator of passive immunity transfer failure, the only factor considered was weight at birth (P=0.178). For weight gain at weaning less than 0.650 kg/day, three factors were considered, the number of calving (P=0.280), the challenge diet (P=0.004) and the colostrum consumed on the first day per kg of LW (P=0.340), while the factors colostrum consumed on the first day (P=0.329), colostrum consumed on the first day per kg of LW (P=0.004), weight at birth (P=0.067), height at birth (P=0.001), number of calving (P=0.105) and challenge diet (P=0.008) were considered for the event height gain at weaning less than 0.222 cm/d.

Table 3 Factors associated with some events. Analysis with simple models 

Event of interest Risk factor P (OR)
Morbidity Colostrum consumed on the first day
(<4 vs ≥4 l)
Colostrum consumed/kg LW, first day
(<0.105 vs ≥0.105)
Number of calving (primiparous vs
multiparous)
Challenge diet (without diet vs with
diet)
0.025 (5.071)

0.174 (1.571)

0.008 (2.358)

0.223 (0.675)
Immunoglobulin
concentration <110 mg/ml
Length of the dry period (≥68 vs <68
days)
Challenge diet (without diet vs with diet)
0.063 (4.385) 0.005 (5.665)
Serum protein concentration <6.6 g/dL Weight at birth (<42 vs ≥42 kg) 0.178 (1.727)
Weight gain at weaning <0.650 kg/d Number of calving (primiparous vs
multiparous)
Challenge diet (without diet vs with
diet)
Colostrum consumed/kg LW, first day
(<0.105 vs ≥0.105)
0.280 (1.495)

0.004 (0.372)


0.340 (1.395)
Height gain at weaning <0.222 cm/d Colostrum consumed on the first day (<4
vs ≥4 l)
Colostrum consumed/kg LW, first day
(<0.105 vs ≥0.105)
Weight at birth (<42 vs ≥42 kg)
Height at birth (<82 vs ≥82 cm)
Number of calving (primiparous vs
multiparous
Challenge diet (without diet vs with diet)
0.329 (2.849)

0.004 (0.385)

0.067 (0.499)
0.001 (0.266)
0.105 (0.579)

0.008 (0.400)

P= probability value; OR= odds ratio; LW= live weight.

The significant effects of the multiple models for each event of interest, shown in Table 4, indicate that, for morbidity, the two factors that remained were colostrum consumption for a first model (P=0.023) and the number of calving for the second model (P=0.010). For the concentration of immunoglobulins less than 110 mg/ml, the factors that remained were the length of the dry period (P=0.062) and the challenge diet (P=0.005). For weight gain at weaning less than 0.650 kg/d, only the challenge diet remained (P=0.004). For the height gain at weaning less than 0.222 cm/d, the factors that remained in four models were the challenge diet for the first of them (P=0.008), weight at birth (P=0.055) and the challenge diet for the second (P=0.005), the height at birth (P=0.005) and the challenge diet (P=0.017) for the third model and the challenge diet and the consumption of colostrum on the first day/kg of LW (P=0.003).

Table 4 Non-collinear factors identified by multivariate analysis for some events 

Variable Model Factor OR (95% CI) P
Morbidity 1 Consumption of
colostrum on the first
day
< 4 l
> 4 l


5.224 (1.257-21.711)
Reference


0.023
2 Number of calving
Primiparous
Multiparous


2.395 (1.231-4.660)
Reference


0.010
Immunoglobulin concentration <110 mg/mL 1 Length of the dry
period
≥ 68
< 68
Challenge diet
Without diet
With diet


0.214 (0.043-1.079)
Reference

0.170 (0.049-0.588)
Reference


0.062

0.005
Weight gain at weaning <0.650 kg/d 1 Challenge diet
Without diet
With diet


0.372 (0.187-0.736)
Reference


0.004
Height gain at weaning <0.222 cm/d 1 Challenge diet
Without diet
With diet
0.400 (0.204-0.785)
Reference
0.008
2 Weight at birth < 42 kg ≥ 42 kg Challenge diet Without diet With diet

0.469 (0.216-1.017)
Reference

0.377 (0.190-0.747)
Reference


0.055

0.005
3 Height at birth
< 82 cm
≥ 82 cm
Challenge diet
Without diet
With diet


0.253 (0.110-0.585)
Reference

0.430 (0.214-0.860)
Reference


0.001

0.017
4 Challenge diet
Without diet
With diet
Colostrum
consumed/kg LW on
first day
<0.105
≥0.105


0.368 (0.183-0.739)
Reference

2.882 (1.449-5.735)
Reference


0.005
0.003

OR= odds ratio; CI= confidence interval; P= probability value.

Discussion

The average weight and height of calves at birth were similar to those described for this production system4, although slightly lower than those published for calves from other systems8,22,23. On the other hand, the average observed weight gain at weaning was lower than recommended24 and showed results contrasting with that published by other authors8,23,25. This could be due, at least in part, to the different management conditions of the farms, length of lactation periods and type of feeding (substitutes vs milk), among others.

The average consumption of colostrum in the first intake and the total of the first day were lower than that described by other authors8,23. Even considering the consumption of colostrum per kilo of live weight in the first intake, it was not possible to cover the 10 to 12 % recommended for the first hours26, achieving it only after the first day. A high percentage of calves consumed less than 4 L of colostrum on the first day, while the time elapsed to the first intake of colostrum is greater than that recorded in other studies8,27. Despite the deficiencies observed in the consumption of colostrum, it seems that the protection achieved by calves, measured in total serum protein, was adequate27, perhaps as a result of the high quality of the colostrum offered24, which is higher than that observed in herds of a larger size and technification23. In the latter, it has been described that only 23 % of colostrum meet quality standards9. It is likely that the lower milk productions of cows in the small-scale system13 will allow the concentration of immunoglobulins in colostrum to be higher by avoiding their dilution28. Thus, although the first intake of colostrum in calves under the small-scale milk production system could be lower than suggested26, its quality would guarantee effective protection. However, the wide variation in results observed in both the concentration of immunoglobulins in colostrum and the amount of serum protein should be considered.

The low body condition of the cows at calving and the high percentage that had with less than 3 points of body condition may be the result of poor feeding conditions that exist in the herds14,15,29, which is reflected in the low percentage of cows that received a challenge diet.

For the morbidity event, the multiple analysis indicated that those calves that consumed less than 4 L of colostrum on the first day were 5.2 times more likely to get sick compared to those that consumed higher amounts. In this way, this should be taken into consideration, even if the average total serum protein readings show good results. Additionally, the greater probability of getting sick in calves that were daughters of first calving mothers vs multiparous mothers, similar to that described by other authors30, may be due to the fact that the colostrum of the former contains less immunoglobulins or its quality may be lower than that of cows with a greater number of calvings31,32,33. Due to the high morbidity rates recorded for this small-scale system, special attention should be paid to the feeding offered to the calf on the first day and the best housing conditions should be sought, especially when the calves come from first calving mothers.

Considering that a low consumption of colostrum could put the health of a calf at risk, ensuring its quality is also a priority. Not consuming a challenge diet decreased the likelihood of having a colostrum of lower quality (<110 mg/ml), thus showing a protective effect. Although the offer of concentrate prior to calving, which coincides with the formation of colostrum26, could favor a greater initial production, this could cause a dilution in the content of immunoglobulins. This is somewhat similar to what has been observed in the sheep species34, where restricted sheep had a lower volume of colostrum, but a higher content of immunoglobulins, compared to sheep consuming 100 % of their nutritional requirements. However, no differences in colostrum quality have been observed due to the consumption of concentrate or higher consumption of metabolizable energy prior to cow calving35,36. The second factor associated with the concentration of immunoglobulins that remained in the multivariate analysis was the dry period; at a longer length of this period, the probability of a low concentration of immunoglobulins in colostrum decreased, compared to periods of less than 68 d. There is little comparable information available; although it has been described that a dry period of 40 days in cows showed no difference in the concentration of immunoglobulins in colostrum, compared to 60 d37. It is likely that a longer dry period, which reached up to 179 days for the animals in this study, allows their greater body recovery and this favors the concentration of immunoglobulins in colostrum; this should be analyzed in subsequent studies.

Not offering a challenge diet to the mother decreased the likelihood that the calf would have low weight and height gain at weaning (i.e., it had a protective effect). In this regard, no differences were observed in the weight or weight gain of calves whose mothers received or not concentrate, prior to calving35. A limitation of this study is not having recorded the amount and nutritional composition of the challenge diet offered to the cows, which could give greater guidance on the results obtained. Some nutritional alterations during the in-utero life of the calves could affect their performance from birth38, so it is likely that less nutrition of the cow during the final phase of gestation causes compensatory mechanisms in the calf that favor its initial growth after birth, as has been observed in other phases of growth39. Only a few studies have described the favorable effects that nutrition in late gestation can have on the growth of calves40, which may be partly due to the fact that most studies are generally limited to obtaining indicators in the calves at birth41, without evaluating their subsequent performance. Additionally, it was observed in one of the models that consuming colostrum in an amount less than 0.105 kg/kg of LW on the first day increased almost 3 times the risk of having a lower growth in the calves. It is likely that components of colostrum, such as hormones, growth factors and nutrients, which may be in greater quantity in the first colostrum, favor the growth of calves26. Unfortunately, height and its gain at weaning are not included in studies as often as body weight. Although there is a greater weight gain at weaning in calves with a higher consumption of colostrum42, in another study, the same was not observed for height at weaning43. However, the design considered the use of colostrum of good quality and in appropriate quantities, even for the group with the lowest consumption of colostrum (10 vs 15 and 20 % of body weight), which may decrease the possibility of observing differences between groups.

Conclusions and implications

In conclusion, the factors associated with the rearing of calves identified were colostrum consumed on the first day, primiparous cows, length of the dry period, cows without a challenge diet, body weight at birth and height at birth. The factor with the greatest impact on the performance of calves during lactation was cows without a challenge diet, for positively impacting the events of interest concentration of immunoglobulins in colostrum, daily weight gain and daily height gain at weaning. This result is interesting because of the possible practical implications that could arise, for example, recommending not to provide a challenge diet to cows under this production system. However, complementary studies are needed to analyze the long-term effect on calf performance beyond the lactation stage and the productive and health impacts of the mother.

Acknowledgements

Study financed with fiscal funds allocated to the project SIGI 23335132549 entitled “Nutritional supplementation in critical periods of calf breeding, to improve their productive performance in family/semitechnified milk production systems” of the National Institute of Forestry, Agricultural and Livestock Research.

REFERENCES

1. Ghoraishy SH, Rokouei M. Impact of birth weight of Iranian Holstein calves on their future milk production and reproductive traits. J Livest Sci Technol 2013;1:41-46. [ Links ]

2. Raboisson D, Delor F, Cahuzac E, Gendre C, Sans P, Allaire G. Perinatal, neonatal, and rearing period mortality of dairy calves and replacement heifers in France. J Dairy Sci 2013;96:1-12. [ Links ]

3. Aghakeshmiri F, Azizzadeh M, Farzaneh N, Gorjidooz M. Effects of neonatal diarrhea and other conditions on subsequent productive and reproductive performance of heifer calves. Vet Res Commun 2017;41:107-112. [ Links ]

4. Espinosa MMA, Estrada CE, Barretero HR, Rodríguez HE, Escobar RMC. Crianza de becerras para sistemas familiares/semitecnificados de producción de leche. Folleto para productores No. 1, 1ª ed. Ajuchitlán, Querétaro, México. INIFAP CENID Fisiología y Mejoramiento Animal. 2014. [ Links ]

5. Johnson KF, Chancellor N, Burn CC, Wathes DC. Prospective cohort study to assess rates of contagious disease in pre-weaned UK dairy heifers: management practices, passive transfer of immunity and associated calf health. Vet Rec 2017;4(1):e000226. [ Links ]

6. Lora I, Gottardo F, Contiero B, Dall AB, Bonfanti L, Stefani A, Barberio A. Association between passive immunity and health status of dairy calves under 30 days of age. Prev Vet Med 2018;152:12-15. [ Links ]

7. Svensson C, Linder A, Olsson SO. Mortality in Swedish dairy calves and replacement heifers. J Dairy Sci 2006;89:4769-4777. [ Links ]

8. Urie NJ, Lombard JE, Shivley CB, Kopral CA, Adams AE, Earleywine TJ, et al. Preweaned heifer management on US dairy operations: Part I. Descriptive characteristics of preweaned heifer raising practices. J Dairy Sci 2018;101(9):1-17. [ Links ]

9. Phipps AJ, Beggs DS, Murray AJ, Mansell PD, Stevenson MA, Pymant MF. Survey of bovine colostrum quality and hygiene on northern Victorian dairy farms. J Dairy Sci 2016;99:8981-8990. [ Links ]

10. Zitzmann R, Pfeiffer M, Söllner-Donat S, Donat K. Risk factors for calf mortality influence the occurrence of antibodies against the pathogens of enzootic bronchopneumonia. Tierarztl Prax Ausq G Grosstiere Nutzliere 2019;47(3):151-165. Abstract. [ Links ]

11. Mee JF, Grant J, Sánchez-Miguel C, Doherty M. Pre-calving and calving management practices in dairy herds with a history of high or low bovine perinatal mortality. Animals 2013;3(3):866-881. [ Links ]

12. Urie NJ, Lombard JE, Shivley CB, Kopral CA, Adams AE, Earleywine TJ, Olson JD, Garry FB. Preweaned heifer management on US dairy operations: Part V. Factors associated with morbidity and mortality in preweaned dairy heifer calves. J Dairy Sci 2018;101:1-16. [ Links ]

13. Sánchez GRA, Zegbe DJA, Gutiérrez BH. Tipificación de un Sistema integral de lechería familiar en Zacatecas, México. Rev Mex Cienc Pecu 2015;6(3):349-359. [ Links ]

14. Vera AHR, Hernández AL, Espinosa GJA, Ortega RL, Díaz AE, Román PH, et al. Producción de leche de bovino en el sistema familiar. Libro técnico. 1a ed. México, INIFAP IRGOC;2009. [ Links ]

15. Montiel-Olguín LJ, Estrada-Cortés E, Espinosa-Martínez MA, Mellado BM, Hernández-Vélez JO, Martínez-Trejo G, et al. Risk factors associated with reproductive performance in small-scale dairy farms in Mexico. Trop Anim Health Prod 2019;51(1):229-236. [ Links ]

16. IIEG. Instituto de Información Estadística y Geográfica de Jalisco. Altos Sur Diagnóstico de la Región Agosto 2019. Gobierno de Jalisco. 2019. [ Links ]

17. Martínez-González JC, Castillo-Rodríguez SP, Villalobos-Cortés A, Hernández-Meléndez J. Sistemas de producción con ruminates en México. Cienc Agropec 2017;26:132-152. [ Links ]

18. Montiel-Olguín LJ, Ruíz-López FJ, Mellado M, Estrada-Cortés E, Gómez-Rosales S, Elton-Puente JE, Vera-Avila HR. Body condition score and milk production on conception rate of cows under a small-scale dairy system. Anim 2019;9(10):800. [ Links ]

19. Edmonson AJ, Lean J, Weaver LF, Farver T, Webster G. A body condition scoring chart for Holstein dairy cows. J Dairy Sci 1989;72:68-78. [ Links ]

20. Potter TJ, Guitian J, Fishwick J, Gordon PJ, Sheldon IM. Risk factors for clinical endometritis in postpartum dairy cattle. Theriogenology 2010;74(1):127-134. [ Links ]

21. Szumilas M. Explaining odds ratios. J Can Acad Adolesc Psychiatry 2010;19(3):227-229. [ Links ]

22. Bazeley KJ, Barrett DC, Williams PD, Reyher KK. Measuring the growth rate of UK dairy heifers to improve future productivity. The Vet J 2016;212:9-14. [ Links ]

23. Shivley CB, Lombard JE, Urie NJ, Haines DM, Sargent R, Kopral CA, et al. Preweaned heifer management on US dairy operations: Part II. Factors associated with colostrum quality and passive transfer status of dairy heifer calves. J Dairy Sci 2018;101:1-14. [ Links ]

24. Akins M. Dairy heifer development and nutrition management. Vet Clin Food Anim Pract 2016;32:303-317. [ Links ]

25. Davis Rincker LE, VandeHaar MJ, Wolf CA, Liesman JS, Chapin LT, Weber Nielsen MS. Effect of intensified feeding of heifer calves on growth, pubertal age, calving age, milk yield, and economics. J Dairy Sci 2011;94:3554-3567. [ Links ]

26. Godden SM, Lombard JE, Woolums AR. Colostrum management for dairy calves. Vet Clin North Am Food Anim Pract 2019;35:535-556. [ Links ]

27. Vogels Z, Chuck GM, Morton JM. Failure of transfer of passive immunity and agammaglobulinaemia in calves in south-west Victorian dairy herds: prevalence and risk factors. Aust Vet J 2013;91:150-158. [ Links ]

28. Elizondo-Salazar JA. Alimentación y manejo del calostro en el ganado de leche. Agronomía mesoamericana 2007;18(2):271-281. [ Links ]

29. Estrada CE, Espinosa MMA, Barretero HR, Rodríguez HE, Escobar RMC. Manejo del ganado bovino adulto en establos familiares/semitecnificados de producción de leche. Folleto para productores Num. 1, 1ª ed. Tepatitlán de Morelos, Jalisco, México. INIFAP-Campo Experimental Centro Altos de Jalisco. 2014. [ Links ]

30. Swali A, Wathes DC. Influence of primiparity on size at birth, growth, the somatotrophic axis and fertility in dairy heifers. Anim Reprod Sci 2007;102(1-2):122-136. [ Links ]

31. Dunn A, Ashfield A, Earley B, Welsh M, Gordon A, Morrison SJ. Evaluation of factors associated with immunoglobulin G, fat, protein, and lactose concentrations in bovine colostrum and colostrum management practices in grassland-based dairy systems in Northern Ireland. J Dairy Sci 2017;100(3):2068-2079. [ Links ]

32. Reschke C, Schelling E, Michel A, Remy-Wohlfender F, Meylan M. Factors associated with colostrum quality and effects on serum gamma globulin concentrations of calves in swiss dairy herds. J Vet Intern Med 2017;31:1563-1571. [ Links ]

33. Sutter F, Borchardt S, Schuenemann GM, Rauch E, Erhard M, Heuwiesser W. Evaluation of 2 different treatment procedures after calving to improve harvesting of high-quantity and high-quality colostrum. J Dairy Sci 2019;102(10):9370-9381. [ Links ]

34. Swanson TJ, Hammer CJ, Luther JS, Calson DB, Taylor JB, Caton JS et al. Effects of gestational plane of nutrition and selenium supplementation on mammary development and colostrum quality in pregnant ewe lambs. J Anim Sci 2008;86:2415-2423. [ Links ]

35. Dunn A, Ashfield A, Earley B, Welsh M, Gordon A, McGee M, Morrison SJ. Effect of concentrate supplementation during the dry period on colostrum quality and effect of colostrum feeding regimen on passive transfer of immunity, calf health, and performance. J Dairy Sci 2017;100:1-14. [ Links ]

36. Hare KS, Wood KM, Fitzsimmons C, Penner B. Oversupplying metabolizable protein in late gestation for beef cattle: effects on postpartum ruminal fermentation, blood metabolites, skeletal muscle catabolism, colostrum composition, milk yield composition, and calf growth performance. J Anim Sci 2019;97:437-455. [ Links ]

37. Shoshani E, Rozen S, Doekes JJ. Effect of a short dry period on milk yield and content, colostrum quality, fertility, and metabolic status of Holstein cows. J Dairy Sci 2014;97:1-14. [ Links ]

38. Van Eetvelde M, Opsomer G. Innovative look at dairy heifer rearing: effect of prenatal and post-natal environment on later performance. Reprod Dom Anim 2017;52(Suppl. 3):30-36. [ Links ]

39. Choi YJ, Han IK, Woo JH, Lee HJ, Jang K, Myung KH, Kim YS. Compensatory growth in dairy heifers: the effect of a compensatory growth pattern on growth rate and lactation performance. J Dairy Sci 1997;80:519-524. [ Links ]

40. Larson DM, Martin JL, Adams DC, Funston RN. Winter grazing system and supplementation during late gestation influence performance of beef cows and steer progeny. J Anim Sci 2009;87(3):1147-1155. [ Links ]

41. Gao F, Liu YC, Zhang ZH, Zhang CZ, Su HW, Li SL. Effect of prepartum maternal energy density on the growth performance, immunity, and antioxidation capability of neonatal calves. J Dairy Sci 2012;95(8):4510-4518. [ Links ]

42. Abuelo A, Cullens F, Hanes A, Brester JL. Impact of 2 versus 1 colostrum meals on failure of passive immunity, pre-weaning morbidity and mortality, and performance of dairy calves in a large dairy herd. Anim 2021;11(3):782. [ Links ]

43. Moura SFL, Miqueo E, da Silva MD, Manzoni TT, Brito RN, Vieira SMS, Machado BCM. Thermoregulatory responses and performance of dairy calves fed different amounts of colostrum. Anim 2021;11:703. [ Links ]

Received: January 29, 2021; Accepted: July 05, 2021

Conflict of interest

The authors declare that they do not have no financial or personal conflict of interest associated with this study.

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