Subtopic Deep Dive
Beef Cattle Genetic Diversity in Indonesia
Research Guide
What is Beef Cattle Genetic Diversity in Indonesia?
Beef Cattle Genetic Diversity in Indonesia assesses genetic variation in local and crossbred beef cattle populations using molecular markers to support breed conservation and productivity selection.
Researchers analyze populations like Bali cattle, Sumba Ongole, and Ongole Grade using methods such as PCR-RFLP, SNPs, and blood protein polymorphism. Key studies include Widyas et al. (2022) reviewing sustainable breeding (27 citations) and Sudrajad et al. (2023) on Sumba Ongole genomics (2 citations). Over 10 papers from 2015-2023 document heritability, gene associations, and population structure.
Why It Matters
Genetic diversity studies enable conservation of Indonesian breeds like Bali and Ongole Grade against inbreeding and climate stress, supporting smallholder farmers' livelihoods (Widyas et al., 2022). SNP identification in PLAG1 links to growth traits in Bali cattle, aiding marker-assisted selection (Putra et al., 2021). Genomic data reveals admixture in Sumba Ongole, informing breeding programs for resilient tropical cattle (Sudrajad et al., 2023).
Key Research Challenges
Limited Genomic Data
Few studies use whole-genome sequencing; most rely on PCR-RFLP or blood proteins (Sudrajad et al., 2021; Lestari et al., 2023). This restricts detection of rare variants in local breeds. Comprehensive genotyping is needed for accurate diversity metrics.
Inbreeding in Small Populations
Local breeds like Kuantan face bottlenecks, increasing homozygosity risks (Hidayati et al., 2020). Admixture analysis shows dilution in crossbreds (Sudrajad et al., 2023). Balancing conservation with productivity requires hybrid vigor strategies.
Trait Association Complexity
Genes like PLAG1 and PRL show polymorphisms, but heritability varies with environment (Hartati et al., 2015; Paramitasari et al., 2015). Non-genetic factors confound genomic predictions (Hartati et al., 2015). Advanced models are needed for tropical conditions.
Essential Papers
Promoting Sustainable Utilization and Genetic Improvement of Indonesian Local Beef Cattle Breeds: A Review
N Widyas, Tri Satya Mastuti Widi, Sigit Prastowo et al. · 2022 · Agriculture · 27 citations
This paper reviews the literature relevant to the breeding of cattle grazed in tropical environments and particularly Indonesia. The aim is to identify new breeding opportunities for cattle owned b...
Heritability estimation and non-genetic factors affecting production traits of Indonesian Ongole cross
Hartati Hartati, M Muladno, Jakaria Jakaria et al. · 2015 · Jurnal Ilmu Ternak dan Veteriner · 9 citations
Productivity data from 560 head of PO cattle have been collected for 9 years from 2004 until 2013 for evaluating heritability estimation and environmental factors affecting production traits of Ind...
Pemanfaatan informasi genom untuk eksplorasi struktur genetik dan asosiasinya dengan performan ternak di Indonesia
Pita Sudrajad, Slamet Diah Volkandari, Muhammad Cahyadi et al. · 2021 · Livestock and Animal Research · 8 citations
<p class="MDPI17abstract">Currently, livestock development strategies in various countries have made extensive use of molecular technology at the genome level. Genome contains information of ...
Identification of single nucleotide polymorphism c.957A>C of PLAG1 gene and its association with growth traits in Bali cattle
I. G. R. Putra, Dhita Ayu Permata Sari, S. M. Rachmawati et al. · 2021 · Journal of the Indonesian Tropical Animal Agriculture · 7 citations
The PLAG1 gene is one of the genes that affect the growth traits located on chromosome 14 in cattle. This study aims to obtain SNP of the PLAG1 gene in exon 1 and exon 2 and their association with ...
The Genetic Variability of Prolactin and Signal Transducers and Activators of Transcription 5A (STAT5A) Genes in Bali Cattle
Komang Alit Paramitasari, C. Sumantri, Jakaria Jakaria · 2015 · Media Peternakan · 6 citations
The aim of this study was to identify the genetic variability of PRL and STAT5A genes in Bali cattle from Bali, West Nusa Tenggara (NTB), and South Sulawesi (SS) using PCR-RFLP method. A total of 2...
Population diversity, admixture, and demographic trend of the Sumba Ongole cattle based on genomic data
Pita Sudrajad, Hartati Hartati, Bayu Dewantoro Putro Soewandi et al. · 2023 · Animal Bioscience · 2 citations
Objective: Sumba Ongole (SO) cattle are valuable breed due to their important role in the development of Indonesian cattle. Despite rapid advances in molecular technology, no genomic studies on SO ...
Genetic diversity and phylogenetic study of Ongole Grade cattle population in Central Java based on blood protein polymorphism
Dinda Ayu Lestari, Sutopo Sutopo, Asep Setiaji et al. · 2023 · Biodiversitas Journal of Biological Diversity · 2 citations
Abstract. Lestari DA, Sutopo, Setiaji A, Kurnianto E. 2023. Genetic diversity and phylogenetic study of Ongole Grade cattle population in Central Java based on blood protein polymorphism. Biodivers...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with Hartati et al. (2015) for Ongole heritability baselines and Paramitasari et al. (2015) for Bali gene variability.
Recent Advances
Prioritize Widyas et al. (2022) review (27 citations), Sudrajad et al. (2023) on Sumba Ongole genomics, and Putra et al. (2021) on PLAG1 SNPs.
Core Methods
Core techniques: PCR-RFLP (Paramitasari et al., 2015), SNP genotyping (Putra et al., 2021), blood protein electrophoresis (Lestari et al., 2023), and genomic admixture analysis (Sudrajad et al., 2023).
How PapersFlow Helps You Research Beef Cattle Genetic Diversity in Indonesia
Discover & Search
Research Agent uses searchPapers and exaSearch to find all Indonesian cattle genomics papers, including Sudrajad et al. (2023) on Sumba Ongole. citationGraph reveals clusters around Widyas et al. (2022) review (27 citations), while findSimilarPapers expands to related Ongole studies.
Analyze & Verify
Analysis Agent applies readPaperContent to extract SNP data from Putra et al. (2021), then runPythonAnalysis with pandas to compute heterozygosity from allele frequencies. verifyResponse (CoVe) and GRADE grading confirm heritability estimates from Hartati et al. (2015) against contradictions in population data.
Synthesize & Write
Synthesis Agent detects gaps in whole-genome studies beyond PCR-RFLP via gap detection. Writing Agent uses latexEditText and latexSyncCitations to draft conservation reports citing 10+ papers, with latexCompile for publication-ready PDFs and exportMermaid for phylogenetic trees from Lestari et al. (2023).
Use Cases
"Compute inbreeding coefficients from Sumba Ongole allele data in Sudrajad 2023."
Research Agent → searchPapers → Analysis Agent → readPaperContent + runPythonAnalysis (pandas for Fst calculation) → CSV export of diversity metrics.
"Write LaTeX review on PLAG1 SNPs in Bali cattle with citations."
Research Agent → citationGraph → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → peer-reviewed manuscript PDF.
"Find code for genetic diversity analysis in Indonesian cattle papers."
Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo + githubRepoInspect → R scripts for STRUCTURE analysis adapted to Ongole data.
Automated Workflows
Deep Research workflow conducts systematic review of 10+ papers on Ongole diversity: searchPapers → citationGraph → structured report with GRADE scores. DeepScan analyzes PLAG1 polymorphisms via 7-step chain: readPaperContent → runPythonAnalysis → CoVe verification. Theorizer generates hypotheses on leptin gene selection from Putra and Bayu Putra (2018).
Frequently Asked Questions
What is Beef Cattle Genetic Diversity in Indonesia?
It assesses genetic variation in local breeds like Bali and Sumba Ongole using molecular markers such as SNPs and PCR-RFLP for conservation and breeding.
What methods are used?
Methods include PCR-RFLP for PRL/STAT5A (Paramitasari et al., 2015), SNP genotyping for PLAG1 (Putra et al., 2021), and blood protein polymorphism (Lestari et al., 2023).
What are key papers?
Widyas et al. (2022, 27 citations) reviews breeding; Sudrajad et al. (2023) analyzes Sumba Ongole genomics; Hartati et al. (2015) estimates Ongole heritability.
What open problems exist?
Lack of whole-genome data limits variant detection (Sudrajad et al., 2021); inbreeding risks in small populations need hybrid strategies (Sudrajad et al., 2023).
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