Akaike, H.: A New Look at the Statistical Model Identification, IEEE T. Automat. Contr., 19, 716–724, https://doi.org/10.1109/TAC.1974.1100705, 1974.

Akbaş, A. A. and Saatci, M.: Growth, slaughter, and carcass characteristics of Honamlı, Hair, and Honamlı × Hair (F1) male goat kids bred under extensive conditions, Turk. J. Veterin. Anim. Sci., 40, 459–467, https://doi.org/10.3906/vet-1511-5, 2016.

Akkol, S., Arpalı, D., and Yagmur, M.: Adaptıve Lasso analysıs for grain yield and yield components in two-rowed barley under rainfed conditions, Comptes rendus de l'Académie bulgare des Sciences, 71, 1279–1287, https://doi.org/10.7546/CRABS.2018.09.17, 2018.

Cam, M. A., Olfaz, M., and Soydan, E.: Possibilities of using morphometrics characteristics as a tool for body weight prediction in Turkish hair goats (Kilkeci), Asian J. Anim. Vet. Adv., 5, 52–59, https://doi.org/10.3923/ajava.2010.52.59, 2010.

Das, S. K. and Yadav, B. P. S.: Productive performance of Jamunapary goat under semi intensive system of management, Indian J. Anim. Res., 49, 254–257, https://doi.org/10.5958/0976-0555.2015.00114.4, 2015.

Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J., Münkemüller, T., McClean, C., Osborne, P. E., Reineking, B., Schröder, B., Skidmore, A. K., Zurell, D., and Lautenbach, S.: Collinearity: a review of methods to deal with it and a simulation study evaluating their performance, Ecography, 36, 27–46, https://doi.org/10.1111/j.1600-0587.2012.07348.x, 2013.

Fan, J. and Li, R.: Variable selection via nonconcave penalized likelihood and its oracle properties, J. Am. Stat. Assoc., 96, 1348–1360, https://doi.org/10.1198/016214501753382273, 2001.

Francis, J., Sibanda, S., and Kristensen, T.: Estimating body weight of cattle using linear body measurements, Zimbabwe Veterin. J., 33, 15–21, https://doi.org/10.4314/zvj.v33i1.5297, 2002.

Gokdal, O.: Growth, slaughter and carcass characteristics of Alpine × Hair goat, Saanen × Hair goat and Hair goat male kids fed with concentrate in addition to grazing on rangeland, Small Rumin. Res., 109, 69–75, https://doi.org/10.1016/j.smallrumres.2012.07.013, 2013.

Hastie, T. J., Tibshirani, R., and Friedman, J.: The Elements of Statistical Learning: Prediction, Inference and Data Mining, 2nd Edn., Springer Verlag, California, 2009.

Hoerl, A. E. and Kennard, R. W.: Ridge regression: Biased estimation for nonorthogonal problems, Technometrics, 12, 55–67, https://doi.org/10.1080/00401706.1970.10488634, 1970.

Huang, J., Ma, S., and Zhang, C. H.: Adaptive Lasso for sparse high-dimensional regression models, Statist. Sin., 18, 1603–1618, 2008.

Iqbal, M., Javed, K., and Ahmad, N.: Prediction of body weight through body measurements in Beetal goats, Pakistan J. Sci., 65, 458–461, 2013.

Khan, M. A., Tariq, M. M., Eyduran, E., Tatlıyer, A., Rafeeq, M., Abbas, F., Rashid, N., Awan, M. A., and Javed, K.: Estimating body weight from several body measurements in harnai sheep without multicollinearity problem, J. Anim. Plant Sci., 24, 120–126, 2014.

Kominakis, A. P., Papavasiliou, D., and Rogdakis, E.: Relationships among udder characteristics, milk yield and, non-yield traits in Frizarta dairy sheep, Small Rumin. Res., 84, 82–88, https://doi.org/10.1016/j.smallrumres.2009.06.010, 2009.

Malau-Aduli, A. E. O., Aziz, M. A., Kojina, T., Niibayashi, T., Oshima, K., and Komatsu, M.: Fixing collinearity instability using principal component and ridge regression analyses in the relationship between body measurements and body weight in Japanese Black cattle, J. Anim. Veterin. Adv., 3, 856–863, 2004.

Marquardt, D. W. and Snee, R. D.: Ridge regression in practice, Am. Statist., 29, 3–19, https://doi.org/10.1080/00031305.1975.10479105, 1975.

Maydeu-Olivares, A. and García-Forero, C: Goodness-of-fit testing, Int. Encyclop. Educ., 7, 190–196, 2010.

Montgomery, D. C., Peck, E. A., and Vining, G. G.: Introduction to Linear Regression Analysis, 3rd Edn., Jon Wiley and Sons, New York, USA, 2001.

Ogutu, J. O, Schulz-Streeck, T., and Piepho, H.: Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions, BMC Proc., 6, 10, https://doi.org/10.1186/1753-6561-6-S2-S10, 2012.

Orhan, H., Eyduran, E., Tatliyer, A., and Saygici, H.: Prediction of egg weight from egg quality characteristics via ridge regression and regression tree methods, Revista Brasileira de Zootecnia, 45, 380–385, https://doi.org/10.1590/S1806-92902016000700004, 2016.

Pesmen, G. and Yardimci, M.: Estimating the live weight using some body measurements in Saanen goats, Archiva Zootechnica, 11, 30–40, 2008.

Pimentel, E. D. C. G., Queiroz, S .A. D., Carvalheiro, R., and Fries, L. A.: Use of ridge regression for the prediction of early growth performance in crossbred calves, Genet. Molec. Biol., 30, 536–544, https://doi.org/10.1590/S1415-47572007000400006, 2007.

Sam, I., Ekpo, J., Ukpanah, U., Eyoh, G., and Warrie, M.: Relationship between linear body measurement and live body weight in West African Dwarf Goats in Obio Akpa, J. Biol. Agricult. Healthcare, 6, 118–124, 2016.

Sangun, L., Cankaya, S., Kayaalp, G. T., and Akar, M.: Use of factor analysis scores in multiple regression models for estimation of body weight from some body measurements in Lizardfish, J. Anim. Veterin. Adv., 8, 47–50, 2009.

SAS: SAS/STAT, SAS Institute Incorporation, Cary, NC, USA, 2014.

Schwarz, G.: Estimating the dimensions of a model, Ann. Statist., 6, 461–464, https://doi.org/10.1214/aos/1176344136, 1978.

Shen, X. and Ye, J.: Adaptive Model Selection, J. Am. Stat. Assoc., 97, 210–221, https://doi.org/10.1198/016214502753479356, 2002.

Tibshirani, R.: Regression shrinkage and selection via the Lasso, J. Roy. Stat. Soc. Ser. B, 58, 267–288, 1996.

Topal, M., Eyduran, E., Yağanoğlu, A. M., Sönmez, A. Y., and Keskin, S.: Çoklu doğrusal bağlantı durumunda ridge ve temel bileşenler regresyon analiz yöntemlerinin kullanımı Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 41, 53–57, 2010.

Tsegaye, D., Belay, B., and Aynalem Haile, A.: Linear body measurements as predictor of body weight in Hararghe Highland goats under farmers environment Ethiopia, Global Veterin., 11, 649–656, https://doi.org/10.5829/idosi.gv.2013.11.5.76135, 2013.

TUIK: http://www.tuik.gov.tr/VeriBilgi.do?tb_id=46andust_id=13, last access: January 2017.

Wang, S., Nam, B., Rosset, S., and Zhu, J.: Random Lasso, Ann. Appl. Stat., 5, 468–485, https://doi.org/10.1214/10-AOAS377, 2011.

Weisberg, S.: Applied Linear Regression, 3rd Edn., John Wiley and Sons Publishers, New York, 2005.

Whittingham, M. J., Stephens, P. A, Bradbury, R. B., and Freckleton, R. P.: Why do we still use stepwise modelling in ecology and behaviour?, J. Anim. Ecol., 75, 1182–1189, https://doi.org/10.1111/j.1365-2656.2006.01141.x, 2006.

Yakubu, A.: Fixing collinearity instability in the estimation of body weight from morpho-biometrical traits of West African dwarf goats, Trakia J. Sci., 7, 61–66, 2009.

Yakubu, A.: Fixing multicollinearity instability in the prediction of body weight from morphometric traits of White Fulani cows, J. Centr. Eur. Agricult., 11, 487–492, 2010.

Yılmaz, O., Cemal, İ., and Karaca, O.: Estimation of mature live weight using some body measurements in Karya sheep, Trop. Anim. Health Product., 45, 397–403, https://doi.org/10.1007/s11250-012-0229-7, 2013.

Zou, H.: The adaptive lasso and its oracle properties, J. Am. Stat. Assoc., 101, 1418–1429, https://doi.org/10.1198/016214506000000735, 2006.

Zou, H. and Hastie, T.: Regularization and variable selection via the elastic net, J. Roy. Stat. Soc. B, 67, 301–320, https://doi.org/10.1111/j.1467-9868.2005.00503.x, 2005.