Aims: To develop regression equations for estimation of live weight from the external morphological measurements. Study Design: CRD with non-orthogonal hierarchy. Place and Duration of Study: This study was carried out at 3 rural village communities of Bhaluka Upazila in Mymensingh district of Bangladesh from 2009 to 2013. Methodology: All animals were ear-tagged and maintained under semi-intensive management system with scheduled vaccination and de-worming. Data were collected from a baseline survey along with 3 progressive generations produced from the community foundation stocks. Body length, chest girth, wither height, hip height and body weights were measured in a same day and recorded individually from birth up to 15 month age. Body weights were measured in kilogram by a hanging spring balance and other morphological parameters were measured in centimeter by a measuring tape. The data were analyzed by "SPSS 17.0" statistical program. Results: A total of seven regression models were adopted and analysis of variance showed that all models were fitted significantly (p<0.001). The correlation coefficient was higher when multiple body measurements were included in the model. The study also revealed that when chest girth as a single body measurement was included in the model gave the highest correlation coefficient (R=0.92). For including multiple measurements, body length and chest girth are the best external body measures which exposed same correlation coefficient (R2=0.92) when included more than these two body measures in the model. The differences between actual body weight and body weight predicted from regression equation for different ages were less than 1% (p>0.05) and correlation coefficient between weights was 0.92 (p<0.01). Conclusion: There are strong correlations among morphometric body measurements. Thus, body weight can be estimated from a single or multiple body measurements by regression equation. Chest girth is the best single predictor for estimating live body weight with high accuracy.
Aims: To investigate the genetic expression of different coat colour variants in Black Bengal Goat (BBG) of Bangladesh. Study Design: CRD with non-orthogonal hierarchy. Place and Duration of Study: This study was carried out at 3 rural village communities of Bhaluka Upazila in Mymensingh district of Bangladesh from 2009 to 2013. Methodology: All goats in community breeding program under this study were ear-tagged and maintained under semi-intensive management system with three breeding strategies in progressive generations. Data were collected from a baseline survey for goat population study along with 3 progressive generations produced from the community foundation flocks. The colour distribution and the colours of kids from matings among different colour parents were observed and recorded accordingly. The recorded data were analyzed by "SPSS 20.0" statistical program. Results: The highest colour populations of about 53% were solid black in colour and others being Bezoar (31%), black with Toggenbergpattern (9%), black with Dutch belt pattern (6%) and solid brown (only 0.5%). Sex and generation had no significant effect on coat colour expression, while, coat colour in different locations differed significantly. For the analysis of coat colour inheritance, two categories of offspring were considered in this study; one from known coat colour dams mated with unknown coat colour sire and another from known coat colour parents. In the earlier category, most of the offspring exposed their dam’s coat colour when mated to unknown coat colour sires. For later category, there were varieties of coat colours offspring, produced from matings between two different or same colour parents. Conclusion: Although the segregation of coat colours among offspring showed dominance of parents` colour, there were also offspring`s other than parents` coat colours. This might be due to polymorphism of coat colour gene in BBG.
Black Bengal Goat (BBG) is only one goat breed in Bangladesh popularly known for its’ fecundity and carcass quality. The study aimed to investigate the genetic improvement of this goat breed in-situ through a community-based breeding program under a low input production system in three villages namely Gangatia, Borochala, and Pachpai in Bhaluka upazila of Mymensingh district. Data on a total of 657 individuals included with three progressive generations taken during 2009 - 2015 were analyzed for performance evaluation and genetic improvement as a result of two breeding strategies (BS) viz. mating within superior bucks and does, and within superior bucks and existing does and also compared with a control group mated among existing bucks and does. Statistical analysis was performed by SPSS 17.0 and genetic parameters by VCE 4.2.5. The average age at sexual maturity (ASM), age at first kidding (AFK), services per conception (SPC), litter size (LS), postpartum heat period (PPHP), and kidding interval (KI) were 233.09±2.71d, 383.01±2.61d, 1.13±0.03, 1.90±0.05, 42.41±0.84d and 186.44±0.95d, respectively. Generation and BS had significant effect on all traits, except SPC, except AFK, all other traits differed significantly among the flocks. The heritability estimates of all reproductive traits were medium ranging from 0.32 to 0.57. Genetic and phenotypic correlations among reproductive traits were low to medium (-0.03 to 0.37). The overall responses of up to three generations for ASM, LS, PPHP, and KI were -15.59d, 0.12 no, -6.14d and -7.66d per generation, respectively. It is concluded that community based breeding program with selected superior bucks and does is very rationale under a low input production system, as it improves reproductive performance in progressive generations. However, estimates of heritability and genetic correlations indicate the scope of improvement for reproductive traits with selection and breeding among does and bucks with proven genetic worth. Bangladesh J. Agri. 2019-2021, 44-46: 97-113
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