Oalib Open Access Library Journal 2333-9721 2333-9705 Scientific Research Publishing 10.4236/oalib.1115299 Oalib-151840 Article Biomedical Life Sciences Business Economics Chemistry Materials Science Computer Science Communications Earth Environmental Sciences Engineering Medicine Healthcare Physics Mathematics Social Sciences Humanities Effects of Breed, Age and Body Condition Score on the Biochemical and Hormonal Parameters of Three Cattle Breeds from Chad (Arab, Kouri and Toupouri) Souleyman Hachim 1 2 Azafack Dorice Kana 2 Ousman Issa 1 Attahir Attamar 1 Ngoula Ferdinand 2 National Institute of Science and Technology of Abeche, Abeche, Chad Animal Physiology and Health Research Unit, Department of Zootechnic, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon

The authors declare no conflicts of interest.

 05 06 2026 06 2026 13 06 1 13 04 04 2026 09 06 2026 12 06 2026 © 2026 by the authors and Scientific Research Publishing Inc. 2026 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/ ). https://doi.org/10.4236/oalib.1115299

Background: This study was conducted to evaluate the biochemical and hormonal parameters of three cattle breeds in Chad (Arabian, Kouri, and Toupouri cows) in order to enhance the productivity of the cattle sub-sector in Chad while conserving local genetic resources. Methods: A total of 166 cycling cows and 40 pregnant cows were used. Breed identification was based on phenotypic characteristics. The age of each animal was determined by simultaneous analysis of dentition and horns. Body condition score (BCS) was determined before slaughter. The blood samples were collected during slaughter and centrifuged. The resulting serum was then analyzed to determine serum urea concentrations, total cholesterol, phosphorus, and total protein colorimetrically using a Lab Max Plenno automated chemical analyzer with commercial reagents. Hormone levels (FSH, LH, P4, and estradiol) were obtained using the ELISA method. Calcium, phosphorus, and urea levels were obtained using complexometry and flame photometry techniques. Results: Results revealed that the number of pregnant cows observed during the study period was 18.93%. Cows with low (BCS = 1 - 2) and medium (BCS = 3) BCS represented more than half of the cows of the study. Protein and cholesterol levels were in general higher in Kouri and Toupouri cows compared to Arabian. Phosphorus levels were high in young cows. Regardless of the breed, hormone levels were generally higher in young cows (3 - 5 and 6 - 9 years); although some older cows were an exception. Among the different BCS groups, lean Arabian cows (BCS = 1 - 2) and cows with average body reserves (BCS = 3) had significantly higher calcium levels. Conclusions: This study indicates that young animals (3 - 5 years) with average BCS of 3 could be the best choice to use when doing selection of the local cattle to enhance reproduction.

 BCS Breed Biochemical Hormonal Parameters 1. Introduction

The cattle sector plays a significant role in national livestock production in the majority of African countries [1]. With over 20 million head of cattle [2], the cattle breeds raised in Chad are mostly zebu (Arabian, M'bororo, Fulani), Toupouri, Kouri and Taurine. However, productivity remains low despite the diversity of breeds. The major factors that are responsible for this low productivity have been identified as genetic, zootechnical, health and reproductive problems which remain a poorly planned, traditional method using unknown genetic material [3][4].

Although local breeds possess good qualities that must be exploited in order to boost their productivity of these breeds, they are raised using traditional methods with few genetic improvement programs. It is with the aim of finding solutions to this problem that the Chadian government has therefore committed to improving livestock feed and proposing a new development strategy aimed at optimizing overall animal and plant productivity using available local resources. Elements of this strategy include adapting livestock farming systems to available feed resources [5].

Achieving good productivity performances and reproduction in cattle farming requires careful management of feed [6]. So, abnormalities related to the balance, quantity, or distribution of the ration must be avoided, particularly at the end of gestation and the beginning of lactation. This complexity explains the use of tools such as biochemical testing to detect and correct any nutritional imbalances early on [7]. The determination of blood constituent concentrations through biochemical analyses is a technique that is increasingly being developed today and allows for monitoring of feed intake levels [8]. To date, few studies have been conducted on the production potential of local breeds in Chad.

It is in this context that this work was initiated with the general objective to evaluate the effects of breed, age and body condition score (BCS) on the biochemical and hormonal parameters of three cattle breeds from Chad (Arabian, Kouri and Toupouri). This was achieved by mastering the knowledge of biochemical and hormonal profiles in relation with breed, BCS, age and physiological status in order to optimize the productivity of local Chadian breeds using available resources.

 2. Materials and Methods 2.1. Study Site

The study was conducted from mid-August 2024 to the end of July 2025 at the slaughterhouse and laboratory of the Livestock Research Institute for Development, located in the Chari Baguirmi region, within the peri-urban area of N’Djamena, Chad (13˚49′59’ʺN and 20˚50′05ʺE). The average annual rainfall in this area ranges from 226.10 to 711.20 mm, with an average humidity of 74% and wind speed reaching 18 km/h.

 2.2. Animals

This study was conducted on a total of 166 cycling cows, divided among three breeds: Arabian (n = 59), Kouri (n = 57), and Toupouri (n = 50), and 40 pregnant cows grouped into: Arabian (n = 11), Kouri (n = 15), and Toupouri (n = 14). Our study was carried out over two seasons: a dry season (October to June) and a rainy season (July to September).

 2.3. Breed Identification, Age Determination, and BCS

Breed identification was based on phenotypic characteristics as described by Lhoste [9]. Identification was based on the following elements: presence or absence of a hump, horn presentation, animal profile, and coat color. Based on these elements, three breed types were identified and studied: the Arabian zebu, the Kouri taurine, and the Toupouri zebu. The age of each animal was determined by simultaneous analysis of its dentition and horn rings. The following formula was used: age (years) = N + 2, where N represents the number of horn grooves and 2 is a constant [10]. BCS was determined before slaughter according to the scale proposed by a previous study [11].

 2.4. Blood Analysis

Blood was collected during slaughter in 10 ml tubes labeled as anticoagulant-free. The ovaries were removed separately by incision of the broad ligament and introduced individually into tubes containing an isotonic medium of 0.9% NaCl and penicillin-streptomycin (0.5 mg/ml). The samples (ovaries and blood) were then placed in an insulated container at a temperature between 30 and 32˚C, and then transported immediately to the laboratory before 2 hours after slaughter. At the laboratory, the blood was centrifuged at 2100 g for 30 min. The collected sera were aliquoted and then frozen at −20˚C until analysis. The resulting serum was then analyzed to determine serum urea and phosphorus concentrations, total cholesterol, and total protein colorimetrically using a Lab Max Plenno automated chemical analyzer (Lab test, Lagoa Santa, Brazil) with commercial reagents. Hormone levels (FSH, LH, and estradiol) were obtained by ELISA following the protocol of the commercial kit (OMEGA Diagnostic Automation Inc.). Calcium levels were obtained using the complexometric technique as described by Lamathe [12].

 2.5. Physiological Status

The physiological status of the cows was determined post-slaughter by examination of the uterus. For pregnant cows, the uterus was incised and the fetus was removed to estimate its approximate gestational age using the formula: Y = X (X + 2), where X represents the number of months of gestation, Y represents the crown-rump length (cm), and 2 is a constant [13].

 2.6. Statistical Analyses

All data were entered into Excel®. Two-way analysis of variance (ANOVA) and the t-test were used to assess the effect of cow characteristics, biochemical parameters, and hormones on breed, age, and BCS. Differences between means were tested using Duncan’s test. For non-normal data, the Krustal-Wallis test was used to compare different means. The results are expressed as weighted means with standard errors (χ2 ± SEM) at the 5% significance level. The data were analyzed using SPSS version 20.00.

 3. Results 3.1. Characterization of Cows According to Breed, Age, Body Condition Score, and Physiological Status

This study revealed that, cows with average and low body condition scores (BCS [3] and [1][2]) represented more than half of the animals in the study (70.86 %); and the majority were between 3 and 5 years old. The rate of pregnant cows observed during our work was 19.41%; then 27.5%, 37.5%, and 35.00% for the Arabian, Kouri, and Toupouri breeds, respectively.

Table 1. Distribution of cows according to breed, age, body condition score (BCS) and physiological status.

Factors modalities Breed Average(%)
Arab (%) Kouri (%) Toupouri (%)
BCS [1 - 2] 33.33 37.25 29.41 24.75
[ 3 ] 35.78 40 24.21 46.11
[4 - 5] 31.66 25 43.33 29.12
Age(years) [3 - 5] 33.87 34.67 31.45 60.59
[6 - 9] 33.89 35.59 30.50 29.05
[10 - 15] 28.57 38.09 33.33 10.34
Physiological status not pregnant (n) =59 (n) =57 (n) =50 81.06
pregnant (n) =11 (n) =15 (n) =14 18.93

Note: BSC: Body Condition Score, n: number of cows.

Furthermore, the number of pregnant cows observed during the study period shows that, although the proportion of pregnant cows slaughtered was considerable; this number was even higher among Kouri cows (15 cows or 37.5%) compared to the value obtained in the Arab and Toupouri breeds (11 cows or 27.5% and 14 cows or 35.00%) respectively (Table 1).

 3.2. Metabolic Profile of Slaughtered Cows in Relation to Breed, Age, and Body Condition Score

3.2.1. Effects of Breed and Age on Biochemical Parameters of Cows

Table 2 which presents the effects of breed and age on the biochemical parameters of cows shows that:

When breed was considered independently of age, older Kouri cows (10 - 15 years old) had significantly higher protein levels (P < 0.05). This significant difference (P < 0.05) was also found in Toupouri cows aged [6 - 9] and [10 - 15] years, respectively, for protein and total cholesterol levels.

When age was taken into account independently of breed, Kouri cows aged [10 - 15] years had a significantly higher protein level (P < 0.05) compared to other age groups.

Table 2. Effects of breed and age on biochemical parameters of cows.

Parameters Breed Age (year) Average P-value
[3 - 5] n = 20 [6 - 9] n = 20 [10 - 15] n=18
Total proteins(g/dl) Arab n = 18 70.68 ± 3.18 aA 75.66 ± 8.25 aA 65.67 ± 4.35 Aa 70.67 ± 3.38 α 0.21
Kouri n = 22 73.00 ± 2.64 abA 68.00 ± 2.66 aA 78.33 ± 2.09 Bb 72.64 ± 2.07 α 0.03
Toupouri n = 18 63.33 ± 7.86 aA 81.33 ± 7.86 bA 77.67 ± 2.74 abAB 74.44 ± 2.79 α 0.02
Average 74.80 ± 2.87 α 75.20 ± 2.76 α 69.41 ± 2.32 α 72.52 ± 0.49 α __
p-value 0.41 0.09 0.02 __ __
Total cholesterol(g/l) Arab n = 18 2.00 ± 0.00 aA 2.00 ± 0.00 aA 2.33 ± 0.21 aA 2.11 ± 0.07 α 0.70
Kouri n = 22 2.00 ± 0.00 aA 2.00 ± 0.25 aA 2.00 ± 0.00 aA 2.00 ± 0.93 α 0.70
Toupouri n = 18 2.01 ± 1.67 abA 1.67 ± 2.03 aA 2.33 ± 0.21 bA 2.21 ± 0.14 α 0.04
Average 2.033 ± 0.6 α 1.9 ± 0.12 α 2.22 ± 0.12 α 2.13 ± 0.18 α __
p-value 0.89 0.28 0.34 __ __

Note: a, b, c: on the same row, values assigned the same letter do not differ significantly (P > 0.05); A, B, C: on the same column, values assigned the same letter do not differ significantly (P > 0.05), α, β: In the same column, values assigned the same letter do not differ significantly (P > 0.05). α, β: In the same row, values assigned the same letter do not differ significantly (P > 0.05).

3.2.2. Effects of Breed and Age on Mineral Content in Cows

The effects of breed and age on mineral content in cows are listed in Table 3. The following results were observed:

When breed was considered independently of age, the oldest Kouri and Arabian cows ([10 - 15]) years old had significantly higher calcium and phosphorus levels, respectively (P < 0.05). However, this significant difference (P < 0.05) was only observed in middle-aged ([6 - 9] years) Arabian cows for calcium levels.

When age was considered independently of breed, Arab and Kouri cows aged [6 - 9] and [3 - 5] years old respectively recorded significantly higher (P < 0.05) calcium and phosphorus levels.

Table 3. Effects of breed and age on mineral elements in cows.

Parameters Breed Age (years) Average P-value
[3 - 5] n = 20 [6 - 9] n = 20 [10 - 15] n = 18
Ca(mg/l) Arab n = 18 52.33 ± 1.48 aA 66.67 ± 4.96 bB 56.00 ± 1.89 abA 44.67 ± 2.29 α 0.01
Kouri n = 22 52.25 ± 2.11 abA 50.00 ± 4.93 aA 62.33 ± 3.69 bA 54.18 ± 2.37 α 0.02
Toupouri n = 18 53.00 ± 3.52 aA 62.00 ± 5.11 aAB 59.67 ± 5.54 aA 58.22 ± 2.76 α 0.68
Average 56.75 ± 2.15 α 58.46 ± 4.43 α 59.56 ± 2.20 α 52.32 ± 0.08 α __
p-value 0.37 0.03 0.55 __ __
Phosphorus(mg/l) Arab n = 18 42.33 ± 1.47 abA 39.00 ± 1.87 aA 44.67 ± 2.22 bA 41.60 ± 2.24 α 0.04
Kouri n = 22 53.00 ± 2.21 aB 51.00 ± 4.15 aA 51.00 ± 3.83 aA 51.73 ± 1.91 α 0.58
Toupouri n = 18 42.33 ± 4.10 aA 43.67 ± 6.00 aA 50.33 ± 6.02 aA 45.44 ± 3.08 α 0.72
Average 46.60 ± 1.19 α 49.30 ± 2.89 α 47.78 ± 2.67 α 47. 34 ± 1.89 α __
p-value 0.02 0.19 0.77 __ __
Urea(mg/l) Arab n = 18 2.43 ± 0.4 aA 3.34 ± 1.21 aA 3.10 ± 0.14 aA 2.82 ± 0.22 α 0.70
Kouri n = 22 3.24 ± 1.07 aA 3.51 ± 0.32 aA 3.24 ± 0.90 aA 3.21 ± 1.18 α 0.32
Toupouri n = 18 2.93 ± 0.3 aA 3.04 ± 1.17 aA 3.02 ± 1.04 aA 2.32 ± 0.13 α 0.71
Average 2.86 ± 1.18 α 3.29 ± 1.29 α 1500 ± 0.87 α 2.78 ± 0.21 α __
p-value 0.53 0.50 0.17 __ __

Note:a, b, c: on the same row, values assigned the same letter do not differ significantly (P > 0.05); A, B, C: on the same column, values assigned the same letter do not differ significantly (P > 0.05), α, β: In the same column, values assigned the same letter do not differ significantly (P > 0.05). α, β: In the same row, values assigned the same letter do not differ significantly (P > 0.05).

3.2.3. Effects of Breed and Body Condition Score (BCS) on Biochemical Parameters of Cows

The effects of breed and BCS on biochemical parameters of cows are listed in Table 4. It’s show that:

Regardless of breed and BCS, total protein levels were significantly higher (P < 0.05).

When breed was considered independently of BCS, Toupouri and Kouri cows had significantly higher total protein levels (P < 0.05) at BCS values of 3 and 4 - 5, respectively. However, this significant difference (P < 0.05) was only observed in Arabian cows with a BCS = 3.

When comparing body condition scores independently of breed, Toupouri and Arabian cows with average and good body reserves, respectively (BCS = 3 and BCS = [4 - 5]), had significantly higher cholesterol levels (P < 0.05). Conversely, in Toupouri and Kouri cows with average and good body reserves (BCS = 3 and BCS = [4 - 5]), respectively, protein levels showed a significantly greater difference (P < 0.05).

Table 4. Effects of breed and BCS on the biochemical parameters of cows.

Parameters Breed BCS Average P-value
[1 - 2] n = 18 [ 3 ] n = 18 [4 - 5] n = 22
Total proteins(g/dl) Arab n = 18 66.29 ± 3.48 abA 80.71 ± 6.35 bA 60.75 ± 2.30 Aa 70.67 ± 3.38 α 0.02
Kouri n = 22 65.20 ± 2.34 Aa 70.86 ± 3.56 abAB 77.60 ± 0.98 Bb 72.64 ± 1.66 α 0.03
Toupouri n = 18 68.67 ± 2.76 aA 92.50 ± 5.48 bB 69.75 ± 3.94 Aab 74.44 ± 3.19 α 0.02
Average 66.78 ± 1.63 α 79.50 ± 5.46 α 71.60 ± 2.00 α 72.55 ± 0.49 β 0.04
p-value 0.41 0.03 0.02 0.2 __
Total cholesterol(g/l) Arab n = 18 2.14 ± 0.14 Aa 2.00 ± 0.00 aA 2.25 ± 0.25 aB 2.11 ± 0.07 α 0.70
Kouri n = 22 2.20 ± 0.37 Aa 1.86 ± 0.15 aA 2.00 ± 0.00 aA 2.00 ± 0.93 α 0.70
Toupouri n = 18 2.00 ± 0.11 Aa 2.50 ± 0.28 aB 2.00 ± 0.00 aA 2.11 ± 0.13 α 0.3
Average 2.20 ± 0.16 α 2.06 ± 0.9 α 2.05 ± 0.45 α 2.10 ± 0.18 α 0.4
p-value 0.89 0.02 0.03 0.3 __

Note: a, b, c: on the same row, values assigned the same letter do not differ significantly (P > 0.05); A, B, C: on the same column, values assigned the same letter do not differ significantly (P > 0.05). BCS: Body Condition Score. α, β: In the same column, values assigned the same letter do not differ significantly (P > 0.05). α, β: In the same row, values assigned the same letter do not differ significantly (P > 0.05).

3.2.4. Effects of Breed and Age on Hormone Levels in Cows

The effects of breed and age on hormone levels in cows are reported in Table 5. The following results were observed:

Regardless of breed and age, estradiol levels were significantly higher (P < 0.05) compared to other hormone levels.

When breed was considered independently of age, LH, progesterone, and estradiol levels were significantly higher (P < 0.05) in middle-aged [6 - 9] years Toupouri cows. Furthermore, estradiol levels were significantly higher (P < 0.05) in Arabian and Kouri cows aged [6 - 9] and [10 - 15] years, respectively.

When comparing age groups independently of breed, the E2 level was significantly higher (p < 0.05) in cows aged [6 - 9] years. Among the different age groups, the oldest cows [10–15] years of the Arabian and Kouri breeds had significantly higher (P < 0.05) LH and estradiol levels, respectively, compared to the other age groups. Furthermore, in the [6 - 9] year age group, the LH level was significantly higher only in the Toupouri breed (P < 0.05).

Table 5. Effects of breed and age on hormone levels in cows.

Breed Age (years) Average P-value
[3 - 5] n = 20 [6 - 9] n = 20 [10 - 15] n = 18
FSH(pg/ml) Arab n = 18 1804.25 ± 33.10 Aa 1310.40 ± 79.13 aA 1348.19 ± 26.17 aA 1255.34 ± 93.28 α 0.21
Kouri n = 22 1334.23 ± 12.19 Aa 1293.45 ± 78.44 aA 1238.49 ± 58.19 Aa 1283.82 ± 21.19 α 0.3
Toupouri n = 18 1122.38 ± 15.89 Aa 1456.89 ± 19,74 bA 1395.19 ± 27.15 abA 1319.14 ± 56.18 α 0.02
Moyenne 1420.28 ± 23.18 α 1353.58 ± 54.24 α 1327.29 ± 34.17 α 1286.10 ± 58.35 α 0.3
p-value 0.41 0.4 0.21 0.2 __
LH(ng/ml) Arab n = 18 6.33 ± 0.78 Aa 7.00 ± 0.00 aAB 7.67 ± 0.21 Ab 7.00 ± 0.28 α 0.01
Kouri n = 22 7.00 ± 0.37 Aa 6.25 ± 0,41 aA 6.67 ± 0.49 aAB 6.64 ± 0.23 α 0.22
Toupouri n = 18 6.67 ± 0.22 abA 7.33 ± 0.21 bB 6.00 ± 0.34 Aa 6.67 ± 0.19 α 0.03
Average 6.70 ± 0.25 α 6.80 ± 0.23 α 6.78 ± 0.25 α 6.82 ± 0.08 α 0.4
p-value 0.37 0.03 0.04 0.2 __
E2(pg/ml) Arab n = 18 97.00 ± 2.22 Aa 118.67 ± 9.68 bA 92.67 ± 9.01 Aa 102.78 ± 4.19 α 0.02
Kouri n = 22 88.75 ± 3.02 Aa 104.00 ± 9.54 abA 119.00 ± 9.25 Bb 102.55 ± 4.95 α 0.03
Toupouri n = 18 93.00 ± 4.66 Aa 118.67 ± 4.61 bA 113.63 ± 9.81 abAB 108.33 ± 4.97 α 0.01
Average 92.50 ± 2.02 α 112.80 ± 5.20 α 108.33 ± 5.11 β 103.62 ± 4.91 β 0.03
p-value 0.53 0.50 0.01 0.4 __
P4(ng/ml) Arabe n = 18 13.00 ± 1.93 Aa 11.33 ± 1.80 aA 9.33 ± 0.85 Aa 11.22 ± 0.97 A 0.70
Kouri n = 22 11.25 ± 0.41 Aa 13.75 ± 1.67 aA 13.00 ± 1.89 Aa 12.64 ± 0.83 α 0.70
Toupouri n = 18 10.67 ± 0.21 Aa 17.33 ± 0.55 bA 12.67 ± 0.90 Aa 13.56 ± 1.64 α 0.04
Average 11.60 ± 0.54 α 14.10 ± 0.99 α 11.67 ± 0.90 α 12.43 ± 1.28 α 0.5
p-value 0.89 0.28 0.34 0.3 __

Note: a, b, c: on the same row, values assigned the same letter do not differ significantly (P > 0.05); A, B, C: on the same column, values assigned the same letter do not differ significantly (P > 0.05); A, B: on the same row, values assigned the same letter do not differ significantly (P > 0.05), α, β: In the same column, values assigned the same letter do not differ significantly (P > 0.05). α, β: In the same row, values assigned the same letter do not differ significantly (P > 0.05).

3.2.5. Effects of Breed and Body Condition Score (BCS) on Mineral Elements in Cows

The effects of breed and BCS on mineral elements in cows are listed in Table 6. The results show that:

Regardless of breed and BCS, calcium and phosphorus levels were significantly higher (P < 0.05).

When comparing breed independently of BCS, the Kouri breed with average BCS = 3 and fat (BCS = [4 - 5]) had a significantly higher calcium level (P < 0.05).

Table 6. Effects of breed and NEC on mineral elements in cows.

Parameters Breed BCS Average P-value
[1 - 2] n = 18 [ 3 ] n = 18 [4 - 5] n = 22
Ca(mg/l) Arab n = 18 54.86 ± 3.53 Ab 66.17 ± 2.76 Ab 51.25 ± 5.72 Aa 58.44 ± 2.51 A 0.21
Kouri n = 22 42.60 ± 5.60 aA 57.29 ± 1.33b Ba 57.80 ± 3.39 Ba 54.18 ± 2.37 A 0.02
Toupouri n = 18 50.33 ± 2.14 aAB 58.50 ± 0.81 Aa 64.00 ± 5.74 Aa 58.22 ± 2.76 A 0.68
Average 49.94 ± 2.85 A 61.00 ± 1.53 A 58.86 ± 2.72 A 56.32 ± 0.08 B 0.03
p-value 0.03 0.03 0.55 0.4 __
Phosphorous(mg/l) Arab n = 18 40.57 ± 2.17 Aa 49.71 ± 4.67 Aa 43.00 ± 3.24 Aa 44.67 ± 2.22 A 0.6
Kouri n = 22 53.20 ± 5.31 Aa 49.14 ± 2.89 Aa 52.80 ± 2.73 Aa 51.73 ± 1.91 A 0.58
Toupouri n = 18 48.67 ± 5.10 Aa 37.50 ± 4.40 aA 47.00 ± 5.27 Aa 45.44 ± 3.08 A 0.72
Average 46.78 ± 2.19 A 46.78 ± 2.50 A 48.91 ± 2.41 A 47.24 ± 3.04 B 0.04
p-value 0.3 0.19 0.77 0.5 __
Urea(mg/l) Arab n = 18 29.32 ± 8.26 aA 34.39 ± 9.17 aA 33.37 ± 8.73 aA 31.67 ± 5.73 A 0.70
Kouri n = 22 28.63 ± 3.54 aA 33.76 ± 12.63 aA 31.68 ± 4.67 aA 31.19 ± 9.47 A 0.32
Toupouri n = 18 32.26 ± 8.78 aA 34.64 ± 11.20 aA 33.51 ± 8.27 aA 32.39 ± 9.24 A 0.71
Average 30.07 ± 6.78 A 34.26 ± 10.54 A 33.18 ± 7.14 A 31.75 ± 7.85 A 0.6
p-value 0.53 0.50 0.17 0.3 __

Note: a, b, c: on the same row, values assigned the same letter do not differ significantly (P > 0.05); A, B, C: on the same column, values assigned the same letter do not differ significantly (P > 0.05); A, B: on the same row, values assigned the same letter do not differ significantly (P > 0.05), α, β: In the same column, values assigned the same letter do not differ significantly (P > 0.05). α, β: In the same row, values assigned the same letter do not differ significantly (P > 0.05).

 4. Discussion

The different breeds studied are almost equally represented (33.9%, 35%, and 31.1%) in this study although the Kouri breed has generally shown better results. Regarding the mean Body Condition Score, the study revealed that the cows used had an average BCS of 3.3 ± 0.34. This value is similar to the findings of Fassi et al. [14] and Azafack et al. [15], which were 2.94 ± 0.89 and 2.93 ± 0.64, respectively, in Morocco and Cameroon. This low BCS may be due to the long dry season and the scarcity of pastureland observed in this area; but above all to poor farming techniques practiced by local populations. Furthermore, farmers often lack the resources to provide supplementary feed for their animals. This results in decreased performance, leading to the sale of animals in poor physical condition to butchers, wholesalers, or slaughterhouses, who then transport them to the abattoir. Similarly, a lack of health monitoring promotes the incidence of diseases, which in turn influence physical development.

The results of this study also revealed that, most of the cows slaughtered were young (3 to 5 years old). This situation can be explained by the fact that, older cows (10 - 15 years old) have lost more weight, a consequence of protein degradation in this age group. Indeed, BCS is an indicator that allows for an indirect assessment of nutritional status [16]. The proportion of pregnant cows slaughtered during the study (18.9%) corroborates that reported by Alaku and Orjiude [17] (21.34%). The slaughter of pregnant cows can be explained on the one hand by non-compliance with veterinary legislation imposed by the state and on the other hand by the neglect of the ante-mortem examination which should be applied to the animals before their introduction to the slaughterhouse.

The significant increase in phosphorus levels observed in young animals (3 - 5 years old) in this study could be explained by the main functions of this element and its involvement in skeletal growth in young animals. Indeed, numerous studies have shown that plasma phosphorus is generally higher in young animals than in adults [18]. The significant increase in protein levels observed in middle-aged animals (6 - 9 years) in this study is a factor that could influence female fertility. Protein intake affects reproduction through direct effects on corpus luteum function (decreased progesterone levels) and on the uterine environment, where toxic waste products of nitrogen metabolism, including rumen ammonia, can be incompatible with sperm, egg, or embryo survival [19]. Protein intake also impairs endocrine function [20]. Furthermore, excess protein leads to the formation of ammonia, and subsequently urea.

The low hormone levels recorded in this study could be, in one hand, attributed to the poor nutritional status of the cows [21], and on the other hand, to environmental conditions such as the long-distance transport of animals to the slaughterhouse, which could be the cause of stress in cows, the breed, and the season. A consequence of the extensive farming system to which they are subjected [22]. This could be explained by the slight superiority observed in certain values in the Kouri breed cow, which is naturally a little more robust than the Arabian and Toupouri breeds. Indeed, it has been observed that underfeeding inhibits the feedback mechanism exerted by estradiol on FSH. Furthermore, a favorable nutritional status is associated with high plasma levels of IGF-1, a hormone essential for stimulating follicular and oocyte growth. It would thus increase the sensitivity of granulosa cells to FSH stimulation, given that basal folliculogenesis is primarily controlled by growth factors such as IGF-1 (Insulin Growth Factor-1) [20]. Ryan et al. [23] found a correlation between adequate feed intake and blood IGF-1 concentration and BCS.

In this study, LH and estradiol levels were in general elevated in older cows (10-15 years old). Indeed, in younger animals, where maturity has not yet peaked, hormonal secretion is controlled by the hypothalamic-pituitary axis, which stimulates hormonal release. This study also revealed that the urea level observed in all slaughtered cows was low. In fact, Ferguson and Chalupa [24] observed that the success rate of Artificial Insemination (AI) was three times lower in cows with urea levels above 0.43 g/L compared to cows with normal urea levels. In fact, urea is toxic to sperm and oocytes [19]. This could explain the lower AI success rate and embryonic mortality.

 5. Conclusion

In this study, which aimed to contribute to the evaluation of the effects of breed, age, and body condition score on the biochemical and hormonal parameters of three cattle breeds in Chad (Arabian, Kouri, and Toupouri). The results showed that most cows were in low and average BCS and are mainly young cows. Hormone levels were generally higher in young cows (3 - 5 and 6 - 9 years) although some older cows were an exception. The Kouri breed has generally shown better results. Thus, to optimize the productivity of local breeds, particularly Kouri, young and average BSC cows must be used. Also, supplementary feed should be provided for animals. The percentage of pregnant cows slaughtered was considerable. Thus, ante-mortem examination should be compulsory.

 Ethical Approval

Experimental protocols used in this study were approved by the Ethics committee of the Department of Animal Science, FASA, University of Dschang, Cameroon, and strictly conformed with the internationally accepted standard ethical guidelines for laboratory animal use and care, as described in the European Community guidelines, EEC Directive 86/609/EEC, of the 24th November, 1986.

 Acknowledgements

The authors are grateful to the Cameroon Livestock Development Corporation (SODEPA) for providing an ideal framework for data collection.

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