English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Predicting cattle’s body weight is a common practice considering various reasons. This paper revisits four classical formulas commonly found in papers published by Indonesian researchers in predicting cattle’s body weight based on their body measurements namely Schoorl, Winter, Smith and Lambourne models. Data on body weight (BW) and body measurements (Chest Girth=CG and Body Length=BL) of 118 male and 106 female Bali cattle (2-3 yo) were collected from Bali cattle Breeding Center. The estimates from the prediction formulas were compared to the actual body weight. We run 10-folds cross validation procedure to obtain the predictive ability parameters. The mean BW, CG and BL for male cattle were 199.19±51.51 Kg; 144.55±13.43 cm and 107.86±9.30 cm; whereas for females were 161.34±34.35 Kg; 134.25±10.26 cm and 101.48±3.60 cm respectively. All four formulas have the accuracy between 84.90 to maximum of 89.68% in both male and female cattle groups. RMSE were considerably high in both male group (17.64 – 45.31) and female group (11.52 – 26.61). Although the correlations between actual and predicted BW are high, further study need to be done to determine whether the utilization of these predicted values as a response variable will introduce enough bias to affect the results of a research.

Revisiting the application of classical formulas to estimate Bali cattle’s body weight based on body measurement variables