Journal cover Journal topic
Archives Animal Breeding Archiv Tierzucht
Journal topic

Journal metrics

IF value: 0.991
IF0.991
IF 5-year value: 1.217
IF 5-year
1.217
CiteScore value: 2.0
CiteScore
2.0
SNIP value: 1.055
SNIP1.055
IPP value: 1.27
IPP1.27
SJR value: 0.425
SJR0.425
Scimago H <br class='widget-line-break'>index value: 28
Scimago H
index
28
h5-index value: 13
h5-index13
Supported by
Logo Leibniz Institute for Farm Animal Biology
AAB | Articles | Volume 61, issue 4
Arch. Anim. Breed., 61, 451–458, 2018
https://doi.org/10.5194/aab-61-451-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Arch. Anim. Breed., 61, 451–458, 2018
https://doi.org/10.5194/aab-61-451-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Original study 19 Nov 2018

Original study | 19 Nov 2018

The prediction of live weight of hair goats through penalized regression methods: LASSO and adaptive LASSO

Suna Akkol

Related authors

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net
Mehmet Nur Çiftsüren and Suna Akkol
Arch. Anim. Breed., 61, 279–284, https://doi.org/10.5194/aab-61-279-2018,https://doi.org/10.5194/aab-61-279-2018, 2018
Short summary
Performance of electronic and visual ear tags in lambs under extensive conditions in Turkey
F. Karakus, A. Ö. Demir, S. Akkol, A. Düzgün, and M. Karakus
Arch. Anim. Breed., 58, 287–292, https://doi.org/10.5194/aab-58-287-2015,https://doi.org/10.5194/aab-58-287-2015, 2015

Related subject area

Subject: Quantitative genetics and estimation of breeding value | Animal: Goats
Associations between genetic variants of the POU1F1 gene and production traits in Saanen goats
Raziye Işık and Güldehen Bilgen
Arch. Anim. Breed., 62, 249–255, https://doi.org/10.5194/aab-62-249-2019,https://doi.org/10.5194/aab-62-249-2019, 2019
Short summary
Download
Short summary
This study was conducted to estimate the live weight of Hair goats from biometric measurements and to select variables in order to reduce the model complexity by using penalised regression methods, LASSO and Adaptive LASSO, for γ = 0.5 and γ = 1. It was concluded that Adaptive LASSO (γ = 1) estimated the live weight with the highest accuracy for both male and female Hair goats when all the criteria were considered.
This study was conducted to estimate the live weight of Hair goats from biometric measurements...
Citation