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Featured researches published by Prabuddha Manjula.


Asian-australasian Journal of Animal Sciences | 2018

Estimation of heritability and genetic correlation of body weight gain and growth curve parameters in Korean native chicken

Prabuddha Manjula; Hee-Bok Park; Dong-Won Seo; Nuri Choi; Shil Jin; Sung Jin Ahn; Kang Nyeong Heo; Bo Seok Kang; Jun Heon Lee

Objective This study estimated the genetic parameters for body weight gain and growth curve parameter traits in Korean native chicken (KNC). Methods A total of 585 F1 chickens were used along with 88 of their F0 birds. Body weights were measured every 2 weeks from hatching to 20 weeks of age to measure weight gain at 2-week intervals. For each individual, a logistic growth curve model was fitted to the longitudinal growth dataset to obtain three growth curve parameters (α, asymptotic final body weight; β, inflection point; and γ, constant scale that was proportional to the overall growth rate). Genetic parameters were estimated based on the linear-mixed model using a restricted maximum likelihood method. Results Heritability estimates of body weight gain traits were low to high (0.057 to 0.458). Heritability estimates for α, β, and γ were 0.211±0.08, 0.249±0.09, and 0.095±0.06, respectively. Both genetic and phenotypic correlations between weight gain traits ranged from −0.527 to 0.993. Genetic and phenotypic correlation between the growth curve parameters and weight gain traits ranged from −0.968 to 0.987. Conclusion Based on the results of this study population, we suggest that the KNC could be used for selective breeding between 6 and 8 weeks of age to enhance the overall genetic improvement of growth traits. After validation of these results in independent studies, these findings will be useful for further optimization of breeding programs for KNC.


Asian-australasian Journal of Animal Sciences | 2018

Identification of quantitative trait loci for the fatty acid composition in Korean native chicken

Shil Jin; Dong-Won Seo; Nu Ri Choi; Prabuddha Manjula; Muhammad Cahyadi; Samooel Jung; Cheorun Jo; Jun Heon Lee; Hee Bok Park

Objective Fatty acid composition is one of the most important meat quality traits because it can contribute to functional, sensorial, and nutritional factors. In this study, quantitative trait locus (QTL) analyses for fatty acid composition traits were investigated in thigh and breast meat of Korean native chicken (KNC). Methods In total, 18 fatty acid composition traits were investigated from each meat sample using 83 parents, and 595 F1 chicks of 20 week old. Genotype assessment was performed using 171 informative DNA markers on 26 autosomes. The KNC linkage map was constructed by CRI-MAP software, which calculated genetic distances, with map orders between markers. The half-sib and full-sib QTL analyses were performed using GridQTL and SOLAR programs, respectively. Results In total, 30 QTLs (12 in the thigh and 18 in the breast meat) were detected by the half-sib analysis and 7 QTLs (3 in the thigh and 4 in the breast meat) were identified by the full-sib analysis. Conclusion With further verification of the QTL regions using additional markers and positional candidate gene studies, these results can provide valuable information for determining causative mutations affecting the fatty acid composition of KNC meat. Moreover, these findings may aid in the selection of birds with favorable fatty acid composition traits.


Asian-australasian Journal of Animal Sciences | 2018

Genetic diversity and phylogenetic relationship analyzed by microsatellite markers in eight Indonesian local duck populations

Dwi Nur Happy Hariyono; Dyah Maharani; Sunghyun Cho; Prabuddha Manjula; Dong-Won Seo; Nuri Choi; Jafendi Hasoloan Purba Sidadolog; Jun-Heon Lee

Objective At least eight local duck breeds have been recognized and documented as national germplasm of Indonesia so far. It is necessary to genetically characterize the local duck breeds for aiding conservation and future improvement strategies. Thus, this study was carried out to assess genetic diversity and phylogenetic relationship of eight local duck populations of Indonesia using microsatellite markers. Methods In total, 240 individuals (30 individuals each population) from Alabio (AL), Bayang (BY), Magelang (MG), Mojosari (MJ), Pegagan (PG), Pitalah (PT), Rambon (RM), and Turi (TR) duck populations were genotyped using 22 microsatellite markers. Results The results showed a moderate level of genetic diversity among populations, with a total of 153 alleles detected over all loci and populations, ranging from 3 to 22 alleles per locus. Observed (Ho) and expected heterozygosity (He), as well as polymorphism information content over all loci and populations were 0.440, 0.566, and 0.513, respectively. Heterozygote deficiency in the overall populations (FIT = 0.237), was partly due to the heterozygote deficiency within populations (FIS = 0.114) and moderate level of genetic differentiation among populations (FST = 0.137). The most diverse population was MG (He = 0.545) and the least diverse population was AL (He = 0.368). The majority of populations were relatively in heterozygote deficiency (except AL), due to inbreeding. The genetic distances, phylogenetic trees, and principal coordinates analysis concluded that the populations can be grouped into two major clusters, resulting AL, MG, and MJ in one cluster separated from the remaining populations. Conclusion The present study revealed a considerable genetic diversity of studied populations and thus, proper management strategies should be applied to preserve genetic diversity and prevent loss of alleles.


Asian-australasian Journal of Animal Sciences | 2017

POU class 1 homeobox 1 (POU1F1) gene polymorphisms associated with growth traits in Korean native chicken

Prabuddha Manjula; Nuri Choi; Dong-Won Seo; Jun Heon Lee

Objective POU class 1 homeobox 1 (POU1F1) mediates growth hormone expression and activity by altering transcription, eventually resulting in growth rate variations. Therefore, we aimed to identify chicken POU1F1 polymorphisms and evaluate the association between single nucleotide polymorphisms (SNPs) and growth-related traits, and logistic growth curve parameter traits (α, β, and γ). Methods Three SNPs (M_1 to M_3) were used to genotype 585 F1 and 88 F0 birds from five Korean native chicken lines using a polymerase chain reaction–restriction fragment length polymorphism method. Results Single marker analyses and traits association analyses showed that M_2 was significantly associated with body weight at two weeks, weight gain from hatch to 2 weeks, and weight gain from 16 to 18 weeks (p<0.05). M_3 was significantly associated with weight gain from 14 to 16 weeks and from 16 to 18 weeks, and asymptotic body weight (α) (p<0.05). No traits were associated with M_1. The POU1F1 haplogroups were significantly associated with weight gain from 14 to 16 weeks (p = 0.020). Linkage disequilibrium test and Haploview analysis shown one main haploblock between M_2 and M_3 SNP. Conclusion Thus, POU1F1 significantly affects the growth of Korean native chickens and their growth curve traits.


Korean Journal of Poultry Science | 2016

Comparative Study on Growth Patterns of 25 Commercial Strains of Korean Native Chicken

Prabuddha Manjula; Hee-Bok Park; Jaehong Yoo; Samiru Sudharaka Wickramasuriya; Dong-Won Seo; Nuri Choi; Chong Dae Kim; Bo-Seok Kang; Ki-Seok Oh; Sea-Hwan Sohn; Jung Min Heo; Jun-Heon Lee

Prediction of growth patterns of commercial chicken strains is important. It can provide visual assessment of growth as function of time and prediction body weight (BW) at a specific age. The aim of current study is to compare the three nonlinear functions (i.e., Logistic, Gompertz, and von Betalanffy) for modeling the growth of twenty five commercial Korean native chicken (KNC) strains reared under a battery cage system until 32 weeks of age and to evaluate the three models with regard to their ability to describe the relationship between BW and age. A clear difference in growth pattern among 25 strains were observed and classified in to the groups according to their growth patterns. The highest and lowest estimated values for asymptotic body weight (C) for 3H and 5W were given by von Bertalanffy and Logistic model 4629.7 g for 2197.8 g respectively. The highest estimated parameter for maturating rate (b) was given by Logistic model 0.249 corresponds to the 2F and lowest in von Bertalanffy model 0.094 for 4Y. According to the coefficient of determination (R2) and mean square of error (MSE), Gompertz and von Bertalanffy models were suitable to describe the growth of Korean native chicken. Moreover, von Bertalannfy model was well described the most of KNC growth with biologically meaningful parameter compared to Gompertz model.


Proceedings of the World Congress on Genetics Applied to Livestock Production | 2018

Associations of single and combined genotypes of POU1F1 and PRDM16 genes on meat quality and blood serum clinical-chemical traits in chicken.

Prabuddha Manjula; Muhammad Cahyadi; Sunghyun Cho; Nuri Choi; Shill Jin; Dong-Won Seo; Samooel Jung; Jun Heon Lee


Korean Journal of Poultry Science | 2017

Genetic Diversity Analyses of Asian Duck Populations using 24 Microsatellite Markers

Hasina Sultana; Dong-Won Seo; Nuri Choi; Yeon-Su Kim; Prabuddha Manjula; Md. Shamsul Alam Bhuiyan; Kang-Nyeong Heo; Jun-Heon Lee


한국가금학회 정기총회 및 학술발표회 | 2016

Discrimination of native chicken breeds using 24 optimized SNP marker combination

Nuri Choi; Dong-Won Seo; Shil Jin; Prabuddha Manjula; Hyung-Yong Kim; Seung Hwan Lee; Jun-Heon Lee


한국가금학회 정기총회 및 학술발표회 | 2016

Association of PIT1 polymorphisms with growth traits in Korean native chickens

Prabuddha Manjula; Dong-Won Seo; Nu Ri Choi; Seung Hwan Lee; Jun Heon Lee


한국가금학회 정기총회 및 학술발표회 | 2016

QTL analysis for taste-active compounds in Korean native chicken meat

Shil Jin; Hee Bok Park; Dong-Won Seo; Prabuddha Manjula; Nu Ri Choi; Samooel Jung; Cheorun Jo; Jun Heon Lee

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Dong-Won Seo

Chungnam National University

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Nuri Choi

Chungnam National University

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Shil Jin

Chungnam National University

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Jun Heon Lee

Chungnam National University

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Samooel Jung

Chungnam National University

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Cheorun Jo

Chungnam National University

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Jun-Heon Lee

Chungnam National University

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Hee-Bok Park

Gyeongsang National University

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Nu Ri Choi

Chungnam National University

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Hee Bok Park

Gyeongsang National University

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