The meta-analysis of beef cattle body weight prediction using body measurement approach with breed, sex, and age categories.

IF 1.5 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Advanced Veterinary and Animal Research Pub Date : 2023-12-31 eCollection Date: 2023-12-01 DOI:10.5455/javar.2023.j718

Frediansyah Firdaus, Bayu Andri Atmoko, Endang Baliarti, Tri Satya Mastuti Widi, Dyah Maharani, Panjono Panjono

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Abstract

Objective: The aim of the study was to use a meta-analysis to identify the correlation between linear body measurements, including body length (BL), wither height (WH), heart girth (HG), and body volume (BV), and body weight in beef cattle by breed, sex, and age as categories.

Materials and methods: These results can be used as a method for predicting beef cattle body weight. This study used systematic review and meta-analysis guidelines to create a checklist. The first stage was searching for papers relevant to the study objectives. The second stage was searching using the keywords beef cattle, body weight, body measurement, and correlation. The third stage was reviewing the title and abstract. The fourth stage was abstracting information from selected papers, and the last stage was tabulating data.

Results: The results from this study were obtained, and 32 papers were eligible for the meta-analysis stage. The correlation between linear body measurement and body weight of beef cattle showed that HG (r = 0.88) and BV (r = 0.97) were significantly (p < 0.05) different compared to BL (r = 0.74) and WH (r = 0.72). The correlation between HG and body weight, and the categorization of cattle breeds showed significantly (p < 0.05) different results. The correlation between BV and body weight of cattle according to breed categories showed results that were not significantly (p > 0.05) different, while age was significantly (p < 0.05).

Conclusion: In conclusion, to predict beef cattle body weight, it is necessary to use HG or BV, with breed, sex, and age of cattle as categories.

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使用体型测量法预测肉牛体重的荟萃分析，包括品种、性别和年龄分类。

研究目的该研究的目的是利用荟萃分析确定肉牛的线性体尺（包括体长（BL）、躯干高（WH）、心周长（HG）和体量（BV））与体重之间的相关性，并以品种、性别和年龄作为分类：这些结果可用作预测肉牛体重的方法。本研究使用系统综述和荟萃分析指南创建了一个核对表。第一阶段是搜索与研究目标相关的论文。第二阶段是使用关键词肉牛、体重、身体测量和相关性进行搜索。第三阶段是审阅标题和摘要。第四阶段是从选定的论文中摘录信息，最后一个阶段是将数据制成表格：研究结果：32 篇论文符合荟萃分析阶段的要求。肉牛线性体尺与体重之间的相关性表明，HG（r = 0.88）和 BV（r = 0.97）与 BL（r = 0.74）和 WH（r = 0.72）相比有显著差异（p < 0.05）。HG 与体重的相关性以及牛品种的分类结果显示出显著差异（p < 0.05）。根据牛的品种分类，BV 与体重之间的相关性结果没有显著差异（p > 0.05），而年龄之间的相关性结果有显著差异（p < 0.05）：总之，要预测肉牛的体重，必须使用 HG 或 BV，并将牛的品种、性别和年龄作为类别。

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来源期刊

Journal of Advanced Veterinary and Animal Research Veterinary-Veterinary (all)

CiteScore

2.70

自引率

7.10%

发文量

审稿时长

6 weeks

期刊介绍： Journal of Advanced Veterinary and Animal Research (JAVAR) - is an open access, international, peer-reviewed, quarterly, highly-indexed scientific journal publishing original research findings and reviews on all aspects of veterinary and animal sciences. Basic and applied researches on- - Anatomy & histology - Animal health economics - Animal nutrition - Animal reproduction - Animal science - Antimicrobial resistance (AMR) - Biochemistry - Biotechnology - Dairy science - Epidemiology - Food hygiene and technology - Genetics and breeding - Immunology - Microbiology - Parasitology - Pathology - Pharmacology & toxicology - Physiology - Poultry science - Preventive veterinary medicine - Public health - Surgery & obstetrics - Veterinary extension studies - Wildlife & aquatic medicine - Zoo animal medicine.