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Comparison of Reproductive Performance of Brahman Crossbred Females with Other Available Cattle Genotypes in Mymensingh District

Apurba Adhikary
Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

Mohammad Mahbubul
Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

A. K. Fazlul Haque Bhuiyan
Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

Md. Azharul Hoque
Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

Abstract/ Executive Summary:

The study was conducted to evaluate the reproductive performance of Brahman crossbred females and compare them with other available cattle genotypes found in Mymensingh district. Reproductive performance data on 35 Brahman crossbreds, 32 Indigenous, 12 Sahiwal crossbreds and 21 Friesian crossbreds were collected from three different villages (Baera, Bhabkhali and Dowhakhola) adjacent to Bangladesh Agricultural University, Mymensingh. Statistical analyses were performed using Statistical Analysis System (SAS) computer program. Reproductive performance of Brahman crossbred was recorded as age at first service: 32.29 ± 1.46 months, age at first calving: 42.00 ± 1.49 months, service per conception: 1.7 ± 0.17, overall conception rate: 0.76 ± 0.05 (76.11%), conception at first service: 0.63 ± 0.08 (62.85%) and gestation length: 282.97 ± 0.78 days. Highly significant (p<0.001) effect of genotype was observed for age at first service and age at first calving; conception rate at first service differs significantly (p<0.05) among genotypes while service per conception, overall conception rate and gestation length were not significantly affected by genotype. Reproductive performance of Brahman crossbred heifer is within the moderate range and better for some traits (i.e. age at first service) than the other genetic groups studied (i.e. Indigenous, Sahiwal × Indigenous, Friesian × Indigenous).

Keywords: Reproductive traits, Indigenous, Brahman-, Sahiwal, Friesian-crossbreds

Location: Mymensingh district, Bangladesh

Start Date:

End Date:

Program Area: Animal Health and Management

Commodity: Cattle

Objectives:

To evaluate and compare the reproductive performance of Brahman crossbred female generated at the community level in Mymensingh district.

Methodology:

Feeding and management: Feeding system of calves from birth up to first calving at the rural condition were categorized depending on availability of dam milk and concentrate feed fed to the calves up to the age of first calving (i.e. Type 1- milk feeding + grazing, Type 2- milk feeding + grazing + concentrate, Type 3- only grazing and Type 4- grazing + concentrate). Population size and data structure Indigenous cows were inseminated with the crossbred Brahman (50% Brahman bull - 50% indigenous) bull semen in the selected areas of Mymensingh, Bangladesh. The population sizes are presented. Traits understudy Age at first service Age at puberty or first heat was assessed through behavioral estrus, and by the identification via rectal palpitation. The age at first service was recorded in month. The age was estimated and recorded by using dentition formulae and interviewing with owners. Age at first calving: The age at first calving was estimated by using dentition formulae interviewing with owners and recorded as a month. Conception rate: The pregnancy was diagnosed between 60 and 90 days after insemination by rectal palpation at the farmer’s house with the help of artificial insemination (AI) technician. The overall conception rate was calculated as mean with standard error. First service conception rate (FSCR) for a particular group was determined by the number of heifers conceived to the first service divided by the number of heifers given the first service multiplied by 100. FSCR (%) = No. of heifers became pregnant at 1st service Total number of first service provided × 100. Service per conception: This was defined as the average number of services or inseminations required for each successful conception. It is used as a measure of reproductive efficiency of female. It was calculated by dividing the total number of animal inseminated by the number of animal conceived. Gestation length (GL) Gestation length was calculated by the time of conceives to parturition. Gestation length of different crossbred heifers was recorded as days. Data entry, reliability test and sorting: After completing the pre-tabulation task of the collected data, records of Brahman and other crossbred heifers were entered in Excel sheets of Microsoft office computer program. The collected data were tested for their normal distribution using the Statistical Analysis System (SAS) method and abnormal data were omitted from the data sheets. Statistical analysis: The sorted data were analyzed by using the Statistical Analysis System (SAS) computer package (SAS, version, 9.1.3) according to the following linear model. DUNCAN test was performed to separate mean values in case of significant factors. A factorial design was used as an experimental design to calculate the effect of area, breed and feeding practices on each trait studied. Statistical model for reproductive traits is as follows: Y = μ + Si + Bj +Ak +eijk Where, Y is a dependent variable (individual animal records for the animal); μ is the overall mean; Si is the effect of area; Bj is the effect of type of feeding practices or the effect of genotype; Aij is the interaction effect of area and type of feeding practice or genotype; eij is the residual error.

Source of Information: J Bangladesh Agril Univ 19(1): 61–66, 2021 ISSN 1810-3030 (Print) 2408-8684 (Online)

Article Link (Online Journal): https://doi.org/10.5455/JBAU.126665

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

According to our data, we can conclude that the reproductive performance of Brahman crossbred heifers maintained under the rural condition was comparatively satisfactory and improvable through improved management. However, further research with large sample size is suggested for a better conclusion.

Knowledge Management: Journal