Literature DB >> 23378175

Prediction of body weight from body measurements in grass cutters.

Ifeanyichukwu Udeh1, Ben-Collins Obiora Okonta.   

Abstract

In order to predict the body weight of grass cutters from linear body measurements, the weights and measurements of 50 intensively managed female grass cutters aged 5 months were fitted into linear, quadratic and cubic regression models. Highly significant (p < 0.01) R (2) values ranging from 74 to 98% were obtained indicating that all body measurements were good predictors of body weight. Although quadratic and cubic models gave slightly higher R (2) values than linear models, it is recommended that farmers should use a simple linear equation based on tail length or heart girth to predict the body weight of their grass cutters. The recommended equations are (weight in kg) = 0.47 + 0.08 (tail length in cm) and (weight in kg) = 0.32 + 0.07 (heart girth in cm).

Mesh:

Year:  2013        PMID: 23378175     DOI: 10.1007/s11250-013-0364-9

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.559


  1 in total

1.  Age- and sex-dependent regression models for predicting the live weight of West African Dwarf goat from body measurements.

Authors:  O S Sowande; B F Oyewale; O S Iyasere
Journal:  Trop Anim Health Prod       Date:  2009-12-09       Impact factor: 1.559

  1 in total

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