Regression Tree Approach for Assessing the Effects of Non-Genetic Factors on Birth Weight of Hemşin Lamb

Year 2018, Volume: 33 Issue: 1, 65 - 73, 30.06.2018

Burcuhan Balta , Mehmet Topal

https://doi.org/10.28955/alinterizbd.372671

Cited By: 4

Abstract

This study examined effects of birth year,
herd type, age of dam, lamb sex, birth type and lamb color on birth weight in
Hemsin lambs using the regression tree method. The study used the data obtained
from 9113 Hemsin lambs born between 2007-2010. The average birth weight of
Hemsin lambs was found to be 3.55 kg and the standard deviation was 0.727 kg.
Significant differences were found in birth weights of Hemsin lambs according
to birth year (P<0.001), birth type (P<0.001) and lamb sec (P<0.01),
whereas no statistically significant difference was found according to herd
type, age of dam and lamb color (P>0.05). According to the regression tree
diagram, the most important factors affecting birth weight of Hemsin lambs were
birth year, birth type, sex, herd type and age of dam. The absence of lamb
color in the regression tree diagram indicates its insignificant effect on
birth weight. The low risk value (0.456) and high R-Squared value (0.862) of
the regression tree model shows that the model is sufficient to explain birth
weight. Variables of birth year, birth type, sex, herd type and age of dam
explained 86.2% of the variation in birth weight.  

Keywords

Hemşin lamb, birth weight

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