Issue |
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
|
|
---|---|---|
Article Number | 04010 | |
Number of page(s) | 7 | |
Section | Innovative Technologies in Bioresource Science and Engineering | |
DOI | https://doi.org/10.1051/bioconf/202412304010 | |
Published online | 30 August 2024 |
Classification of linear properties of participated cow body used in progeny test in east java
1 Student of Postgraduate Program, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia
2 Lecturer of Postgraduate Program, Faculty of Animal Science, Universitas Brawijaya, Malang, Indonesia
* Corresponding author: triekos@ub.ac.id
This study aims to classify the linear characteristics of the lactation cow's body as Participated Cow used in the progeny test of dairy cows at KAN Jabung, Malang, East Java. Linear body traits, such as udder characteristics reflect milk production capability. The study involved 180 lactating cows. The research method employed a survey approach with data collection through purposive sampling, focusing on lactating cows based on specific criteria. Data analysis was conducted using descriptive analysis, calculating mean value, maximum and minimum values, value of diversity and standard deviation. The results indicated that the Participated Cow linear characteristics including front leg strength, rear leg position, body depth, buttock angle, front randomized angle, rear randomized angle, udder height, udder width, udder depth, front nipple length and back nipple length respectively had a score of 5; 5; 5,5; 4; 5,5; 5; 7; 3; 5; 5; 4. In conclusion, linear classification on PC that meets the ideal score is only 3 variables: hind legs, udder depth and nipple length with a percentage of 27.27%, so further research is needed to evaluate linear properties of PC so that it can be used as a guideline for the selection of PC in the progeny test.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.