การปรับปรุงพันธุกรรมลักษณะเชิงทำงานในโคนมเพื่อผลิตแม่โคนมคงทนในประเทศไทย
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บทความวิชาการ (original article)
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References
กลุ่มวิจัยและประเมินพันธุกรรมสัตว์. 2554. สมุดพ่อพันธุ์ กรมปศุสัตว์ ปี 2553. สำนักเทคโนโลยีชีวภาพการผลิตปศุสัตว์, กรมปศุสัตว์, กรุงเทพฯ.
Abdollahi-Arpanahi R., F. Peñagaricano, H. Aliloo, H. Ghiasi, J. I. Urioste. 2013. Comparison of poisson, probit and linear models for genetic analysis of number of inseminations toconception and success at first insemination in Iranian Holstein cows. Livest. Sci. 153: 20-26.
Abe, H., Y. Masuda, and M. Suzuki. 2009. Relationships between reproductive traits of heifers and cows and yield traits for Holsteins in Japan. J. Dairy Sci. 92: 4055-4062.
Barbat, A., P. L. Mézec, V. Ducrocq, S. Mattalia, S. Fritz, D. Boichard, C. Ponsart, and P. Humblot. 2010 Female fertility in French dairy breeds: Current situation and strategies for improvement. J. Reprod. Dev. 56:S15-S21.
Battagin, M., C. Sartori, S. Biffani, M. Penasa, and M. Cassandro. 2013. Genetic parameters for body condition score, locomotion, angularity, and production traits in Italian Holstein cattle. J. Dairy Sci. 96: 5344-5351.
Berry, D. P., and J. J. Crowley. 2013. Genetics of feed efficiency in dairy and beef cattle. J. Anim. SCI. 91: 1594-1613.
Boelling, D., G. E. Pollott. 1998. Locomotion, lameness, hoof and leg traits in cattle II. Genetic relationships and breeding values. Livest. Prod. Sci. 54: 205-215.
Boettcher, P. 2005. Breeding for improvement of functional traits in dairy cattle. Ital. J. Anim. Sci. 4(Suppl.3): 7-16.
Bonfatti, V., G. Di Martino , and P. Carnier. 2011. Effectiveness of mid-infrared spectroscopy for the prediction of detailed protein composition and contents of protein genetic variants of individual milk of Simmental cows J. Dairy Sci. 94: 5776-5785.
Bouquet, A., and J. Juga. 2013. Integrating genomic selection into dairy cattle breeding programmes: a review. Animal. 7(5): 705-713.
Buch, L. H. 2011. Genetic improvement of functional traits in dairy cattle breeding schemes with genomic selection. PhD Thesis. Department of Genetics and Biotechnology, Faculty of Agricultural Sciences, Aarhus University, Denmark.
Chamberlain, A. J., B. J. Hayes, K. Savin, S. Bolormaa, H. C. McPartlan, P. J. Bowman, C. Van Der Jagt, S. MacEachern, and M. E. Goddard. 2012. Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle. J. Dairy Sci. 95: 864-875.
Charfeddin, E. N. 2000. Economic aspects of defining breeding objectives in selection programmes. In : Gabiña D . (ed.). Analysis and definition of the objectives in genetic improvement programmes in sheep and goats. An economic approach to increase their profitability . Zaragoza : CIHEAM, 2000. p. 9 -1 7.
Christensen, O. F., and M. S. Lund. 2010.Genomic prediction when some animals are not genotyped. Genet. Sel. Evol. 42:2.
Cole, J. B., and D.J. Null. 2009. Genetic evaluation of lactation persistency for five breeds of dairy cattle. J. Dairy Sci. 92: 2248-2258.
Dekkers, J. C. M., J. H. ten Hag, and A. Weersink. 1998. Economic aspects of persistency of lactation in dairy cattle. Livest. Prod. Sci. 53: 237-252.
Duangjinda, M., Misztal, I., and Tsuruta, S. 2007. BLUPF90-PCPAK [Computer program]. Khon Kaen, Thailand: Department of Animal Science, Faculty of Agriculture, Khon Kaen University.
Daetwyler, H.D., Villanueva, B., Woolliams, J.A., and Weedon, M.N. 2008. Accuracy of predicting the genetic risk of disease using a genome-wide approach. PLoS One. 3(10): e3395.
Eaglen, S. A. E., M. P. Coffey, J. A. Woolliams, and E. Wall. 2013. Direct and maternal genetic relationships between calving ease, gestation length, milk production, fertility, type, and lifespan of Holstein-Friesian primiparous cows. J. Dairy Sci. 96: 4015-4025.
Edwards, J. P., J. G. Jago, and N. Lopez-Villa. 2014. Analysis of milking characteristics in New Zealand dairy cows. J. Dairy Sci. 97: 259-269.
Fatehi, J., A. Stella, J. J. Shannon, and P. J. Boettcher. 2003. Genetic parameters for feet and leg traits evaluated in different environments. J. Dairy Sci. 86: 661-666.
Goddard. M. E. 1998. Consensus and debate in the definition of breeding objectives. J. Dairy. Sci. 81(2): 6-18.
Groen, A. F., T. Steine, J.J. Colleau, J. Pedersen, J. Pribyl, and N. Reinsch. 1997. Economic values in dairy cattle breeding, with special reference to functional traits. Report of an EAAPworking group. Livest. Prod. Sci. 49: 1-21.
Hayes, B. J., P. J. Bowman, A. J. Chamberlain, and M. E. Goddard. 2009. Invited review: Genomic selection in dairy cattle: Progress and challenges. J. Dairy Sci. 92: 433-443.
Hayes, B. J., and M. Goddard. 2010. Genome-wide association and genomic selection in animal breeding. Genome. 53(11): 876-83.
Hazel, L. N., G. E. Dickerson and A. E. Freeman. 1994. The Selection Index-Then, now, and for the future. J. Dairy Sci. 77: 3236-3251.
Heringstad, B., I. M. Andersen-Ranberg, Y. M. Chang, and D. Gianola. 2006. Short Communication: Genetic analysis of nonreturn rate and mastitis in first-lactation Norwegian red cows J. Dairy Sci. 89: 4420-4423.
Holstein Association USA, Inc. 2011. Change to TPI formula - effective April 2011. Available: http://goo.gl/Fu3eUY. Accessed Dec. 10, 2014
Kadarmideen, H. N., R. Thompson, M. P. Coffey, M. A. Kossaibati. 2003. enetic parameters and evaluations from single- and multiple-trait analysis of dairy cow fertility and milk productionLivest. Pro. Sci. 81: 183-195.
Koivula, M., I. Strandén, G. Su, and E. A. Mäntysaari. 2012. Different methods to calculate genomic predictions—Comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP). J. Dairy Sci. 95: 4065-4073.
König, S., F. Köhn, K. Kuwan, H. Simianer, and M. Gauly. 2006. Use of repeated measures analysis for evaluation of genetic background of dairy cattle behavior in automatic milking systems. J. Dairy Sci. 89:3636-3644.
Kramer, M., M. Erbe, B. Bapst, A. Bieber, and H. Simianer. 2013. Estimation of genetic parameters for novel functional traits in Brown Swiss cattle. J. Dairy Sci. 96: 5954-5964.
Jiang, L., J. Liu., D. Sun., P. Ma, X. Ding, Y. Yu, and Q. Zhang. 2010. Genome wide association studies for milk production traits in Chinese Holstein population. PLoS One. 5(10): e13661.
Legarra, A., I. Aguilar, and I. Misztal. 2009. A relation-ship matrix including full pedigree and genomic information. J. Dairy Sci. 92: 4656-4663.
Li, G., and H. Zhu. 2012. Genetic studies: The linear mixed models in genome-wide association studies. TOBIOIJ. 7(Suppl-1, M2): 27-33.
Martin, G., M. Wensch-Dorendorf, R. Schafberg, and H. H. Swalve. 2013. A comparison of udder health trait definitions in German Holstein dairy cattle based on mastitis treatment data. Livest. Sci. 151: 219-227.
Meuwissen, T. H. E., B. J. Hayes, and M. E. Goddard. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics. 157: 1819-1829.
Miglior, F., B. L. Muir, and B. J. Van Doormaal. 2005. Selection indices in Holstein cattle of various countries. J. Dairy Sci. 88: 1255-1263.
Misztal, I., S. Tsuruta, T. Strabel, B. Auvray, T. Druet, and D. H. Lee. 2002. BLUPF90 and related programs (BGF90). Commun. No. 28-07 in Proc. 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France.Misztal, I., A. Legarra, and I. Aguilar. 2009. Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. J. Dairy Sci. 92: 4648-4655.
Misztal, I., I. Aguilar, A. Legarra, S. Tsuruta, and H. Wang. 2012. Adaptation of BGF90 package for genomic computations. J. Dairy Sci. 95(Suppl. 2): 446. (Abstr.)
Oltenacu, P. A., and D. M. Broom. 2010. The impact of genetic selection for increased milk yield on the welfare of dairy cows. Anim Welfare. 19(S): 39-49.
Pritchard, T., M. Coffey, R. Mrode, and E. Wall. 2013. Genetic parameters for production, health, fertility and longevity traits in dairy cows. Animal. 7(1): 34-46.
Rupp, R. and D. Boichard. 1999. Genetic parameters for clinical mastitis, somatic cell score, production, udder type traits, and milking ease in first lactation Holsteins. J. Dairy Sci. 82: 2198-2204
Samoré, A. B., R. Rizzi, A. Rossoni, and A. Bagnato. 2010. Genetic parameters for functional longevity, type traits, somatic cell scores, milk flow and production in the Italian Brown Swiss. Ital. J. Anim. Sci. 9(e28): 145-152.
Schaeffer, L. R. 2006. Strategy for applying genome-wide selection in dairy cattle. J. Anim. Breed Genet. 123: 218-23.
Schopen, G. C. B., M. H. P. W. visker, P. D. Koks, E. Mullaart, J. A. M. van Arendonk, and H. Bovenhuis. 2011. Whole-genome association study for milk protein compositionin dairy cattle. J. Dairy Sci. 94: 3148-3158.
Sewalem, a., F. Miglior, and G. J. Kistemaker. 2011. Short communication: Genetic parameters of milking temperament and milking speed in Canadian Holsteins. J. Dairy Sci. 94: 512-516.
Søndergaarda, E., M.K. Sørensen, I. L. Mao, and J. Jensen. 2002. Genetic parameters of production, feed intake, body weight, body composition, and udder health in lactating dairy cows. Livest. Prod. Sci. 77: 23-34.
Spurlock, D. M., J. C. M. Dekkers, R. Fernando, D. A. Koltes, and A. Wolc. 2012. Genetic parameters for energy balance, feed efficiency, and related traits in Holstein cattle. J. Dairy Sci. 95: 5393-5402.
Su, G., P. Madsen, U. S. Nielsen, E. A. Mäntysaari, G. P. Aamand, O. F. Christensen, and M. S. Lund. 2012. Genomic prediction for the Nordic Red Cattle using one-step and selection index blending approaches. J. Dairy Sci. 95: 909-917.
Szyda, J., M. Morek-Kopeć, J. Komisarek, and Andrzej Žarnecki. 2011. Evaluating markers in selected genes for association with functional longevity of dairy cattle. BMC Genetics. 12: 30. ten Nepel, J., M. P. L. Calus, H. A. and R. F. Veerkamp. 2009. Breeding for robustness in cattle. EAAP publication. No. 126. pp. 35-44.
Tiezzi, F., C. Maltecca, A. Cecchinato, M. Penasa, and G. Bittante. 2013. Thin and fat cows, and the nonlinear genetic relationship between body condition score and fertility. J. Dairy Sci. 96: 6730-6741. Tsuruta, S., I. Misztal, and T. J. Lawlor. 2005. Changing definition of productive life in US Holsteins: Effect on genetic correlations. J. Dairy Sci. 88: 1156-1165.
Tsuruta, S., I. Misztal, C. Huang, and t. J. Lawlor. 2009. Bivariate analysis of conception rates and test-day milk yields in Holsteins using a threshold-linear model with random regressions. J. Dairy Sci. 92: 2922-2930.
Tsuruta, S., I. Misztal, and T. J. Lawlor. 2013. Short communication: Genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows. J. Dairy Sci. 96: 3332-3335.
Vallimont, J. E., C. D. Dechow, J. M. Daubert, M. W. Dekleva, J. W. Blum, C. M. Barlieb, W. Liu, G. A. Varga, A. J. Heinrichs, and C. R. Baumrucker. 2010. Genetic parameters of feed intake, production, body weight, body condition score, and selected type traits of Holstein cows in commercial tie-stall barns. J. Dairy Sci. 93: 4892-4901.
Vallimont, J. E., C. D. Dechow, J. M. Daubert, M. W. Dekleva, J. W. Blum, C. M. Barlieb, W. Liu, G. A. Varga, A. J. Heinrichs, and C. R. Baumrucker. 2011. Short communication: Heritability of gross feed efficiency and associations with yield, intake, residual intake, body weight, and body condition score in 11 commercial Pennsylvania tie stalls. J. Dairy Sci. 94: 2108-2113.
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Wiggans, G. R., L. L. M. Thornton, R. R. Neitzel, and N. Gengler. 2007. Short Communication: Genetic Evaluation of Milking Speed for Brown Swiss Dairy Cattle in the United States. J. Dairy Sci. 90: 1021-1023.
Wu, X., M. Fang, L. Liu, S. Wang, J. Liu, X. Ding, S. Zhang, Q. Zhang, Y. Zhang, L. Qiao, M. Sandø Lund, G. Su, and D. Sun. 2013. Genome wide association studies for body conformation traits in the Chinese Holstein cattle population. BMC Genomics. 14: 897.
Zavadilová, L. E. Némcová, and M. Štípková. 2011. Effect of type traits on functional longevity of Czech Holstein cows estimated from a Cox proportional hazards model. J. Dairy Sci. 94: 4090-4099.
Abdollahi-Arpanahi R., F. Peñagaricano, H. Aliloo, H. Ghiasi, J. I. Urioste. 2013. Comparison of poisson, probit and linear models for genetic analysis of number of inseminations toconception and success at first insemination in Iranian Holstein cows. Livest. Sci. 153: 20-26.
Abe, H., Y. Masuda, and M. Suzuki. 2009. Relationships between reproductive traits of heifers and cows and yield traits for Holsteins in Japan. J. Dairy Sci. 92: 4055-4062.
Barbat, A., P. L. Mézec, V. Ducrocq, S. Mattalia, S. Fritz, D. Boichard, C. Ponsart, and P. Humblot. 2010 Female fertility in French dairy breeds: Current situation and strategies for improvement. J. Reprod. Dev. 56:S15-S21.
Battagin, M., C. Sartori, S. Biffani, M. Penasa, and M. Cassandro. 2013. Genetic parameters for body condition score, locomotion, angularity, and production traits in Italian Holstein cattle. J. Dairy Sci. 96: 5344-5351.
Berry, D. P., and J. J. Crowley. 2013. Genetics of feed efficiency in dairy and beef cattle. J. Anim. SCI. 91: 1594-1613.
Boelling, D., G. E. Pollott. 1998. Locomotion, lameness, hoof and leg traits in cattle II. Genetic relationships and breeding values. Livest. Prod. Sci. 54: 205-215.
Boettcher, P. 2005. Breeding for improvement of functional traits in dairy cattle. Ital. J. Anim. Sci. 4(Suppl.3): 7-16.
Bonfatti, V., G. Di Martino , and P. Carnier. 2011. Effectiveness of mid-infrared spectroscopy for the prediction of detailed protein composition and contents of protein genetic variants of individual milk of Simmental cows J. Dairy Sci. 94: 5776-5785.
Bouquet, A., and J. Juga. 2013. Integrating genomic selection into dairy cattle breeding programmes: a review. Animal. 7(5): 705-713.
Buch, L. H. 2011. Genetic improvement of functional traits in dairy cattle breeding schemes with genomic selection. PhD Thesis. Department of Genetics and Biotechnology, Faculty of Agricultural Sciences, Aarhus University, Denmark.
Chamberlain, A. J., B. J. Hayes, K. Savin, S. Bolormaa, H. C. McPartlan, P. J. Bowman, C. Van Der Jagt, S. MacEachern, and M. E. Goddard. 2012. Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle. J. Dairy Sci. 95: 864-875.
Charfeddin, E. N. 2000. Economic aspects of defining breeding objectives in selection programmes. In : Gabiña D . (ed.). Analysis and definition of the objectives in genetic improvement programmes in sheep and goats. An economic approach to increase their profitability . Zaragoza : CIHEAM, 2000. p. 9 -1 7.
Christensen, O. F., and M. S. Lund. 2010.Genomic prediction when some animals are not genotyped. Genet. Sel. Evol. 42:2.
Cole, J. B., and D.J. Null. 2009. Genetic evaluation of lactation persistency for five breeds of dairy cattle. J. Dairy Sci. 92: 2248-2258.
Dekkers, J. C. M., J. H. ten Hag, and A. Weersink. 1998. Economic aspects of persistency of lactation in dairy cattle. Livest. Prod. Sci. 53: 237-252.
Duangjinda, M., Misztal, I., and Tsuruta, S. 2007. BLUPF90-PCPAK [Computer program]. Khon Kaen, Thailand: Department of Animal Science, Faculty of Agriculture, Khon Kaen University.
Daetwyler, H.D., Villanueva, B., Woolliams, J.A., and Weedon, M.N. 2008. Accuracy of predicting the genetic risk of disease using a genome-wide approach. PLoS One. 3(10): e3395.
Eaglen, S. A. E., M. P. Coffey, J. A. Woolliams, and E. Wall. 2013. Direct and maternal genetic relationships between calving ease, gestation length, milk production, fertility, type, and lifespan of Holstein-Friesian primiparous cows. J. Dairy Sci. 96: 4015-4025.
Edwards, J. P., J. G. Jago, and N. Lopez-Villa. 2014. Analysis of milking characteristics in New Zealand dairy cows. J. Dairy Sci. 97: 259-269.
Fatehi, J., A. Stella, J. J. Shannon, and P. J. Boettcher. 2003. Genetic parameters for feet and leg traits evaluated in different environments. J. Dairy Sci. 86: 661-666.
Goddard. M. E. 1998. Consensus and debate in the definition of breeding objectives. J. Dairy. Sci. 81(2): 6-18.
Groen, A. F., T. Steine, J.J. Colleau, J. Pedersen, J. Pribyl, and N. Reinsch. 1997. Economic values in dairy cattle breeding, with special reference to functional traits. Report of an EAAPworking group. Livest. Prod. Sci. 49: 1-21.
Hayes, B. J., P. J. Bowman, A. J. Chamberlain, and M. E. Goddard. 2009. Invited review: Genomic selection in dairy cattle: Progress and challenges. J. Dairy Sci. 92: 433-443.
Hayes, B. J., and M. Goddard. 2010. Genome-wide association and genomic selection in animal breeding. Genome. 53(11): 876-83.
Hazel, L. N., G. E. Dickerson and A. E. Freeman. 1994. The Selection Index-Then, now, and for the future. J. Dairy Sci. 77: 3236-3251.
Heringstad, B., I. M. Andersen-Ranberg, Y. M. Chang, and D. Gianola. 2006. Short Communication: Genetic analysis of nonreturn rate and mastitis in first-lactation Norwegian red cows J. Dairy Sci. 89: 4420-4423.
Holstein Association USA, Inc. 2011. Change to TPI formula - effective April 2011. Available: http://goo.gl/Fu3eUY. Accessed Dec. 10, 2014
Kadarmideen, H. N., R. Thompson, M. P. Coffey, M. A. Kossaibati. 2003. enetic parameters and evaluations from single- and multiple-trait analysis of dairy cow fertility and milk productionLivest. Pro. Sci. 81: 183-195.
Koivula, M., I. Strandén, G. Su, and E. A. Mäntysaari. 2012. Different methods to calculate genomic predictions—Comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP). J. Dairy Sci. 95: 4065-4073.
König, S., F. Köhn, K. Kuwan, H. Simianer, and M. Gauly. 2006. Use of repeated measures analysis for evaluation of genetic background of dairy cattle behavior in automatic milking systems. J. Dairy Sci. 89:3636-3644.
Kramer, M., M. Erbe, B. Bapst, A. Bieber, and H. Simianer. 2013. Estimation of genetic parameters for novel functional traits in Brown Swiss cattle. J. Dairy Sci. 96: 5954-5964.
Jiang, L., J. Liu., D. Sun., P. Ma, X. Ding, Y. Yu, and Q. Zhang. 2010. Genome wide association studies for milk production traits in Chinese Holstein population. PLoS One. 5(10): e13661.
Legarra, A., I. Aguilar, and I. Misztal. 2009. A relation-ship matrix including full pedigree and genomic information. J. Dairy Sci. 92: 4656-4663.
Li, G., and H. Zhu. 2012. Genetic studies: The linear mixed models in genome-wide association studies. TOBIOIJ. 7(Suppl-1, M2): 27-33.
Martin, G., M. Wensch-Dorendorf, R. Schafberg, and H. H. Swalve. 2013. A comparison of udder health trait definitions in German Holstein dairy cattle based on mastitis treatment data. Livest. Sci. 151: 219-227.
Meuwissen, T. H. E., B. J. Hayes, and M. E. Goddard. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics. 157: 1819-1829.
Miglior, F., B. L. Muir, and B. J. Van Doormaal. 2005. Selection indices in Holstein cattle of various countries. J. Dairy Sci. 88: 1255-1263.
Misztal, I., S. Tsuruta, T. Strabel, B. Auvray, T. Druet, and D. H. Lee. 2002. BLUPF90 and related programs (BGF90). Commun. No. 28-07 in Proc. 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France.Misztal, I., A. Legarra, and I. Aguilar. 2009. Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. J. Dairy Sci. 92: 4648-4655.
Misztal, I., I. Aguilar, A. Legarra, S. Tsuruta, and H. Wang. 2012. Adaptation of BGF90 package for genomic computations. J. Dairy Sci. 95(Suppl. 2): 446. (Abstr.)
Oltenacu, P. A., and D. M. Broom. 2010. The impact of genetic selection for increased milk yield on the welfare of dairy cows. Anim Welfare. 19(S): 39-49.
Pritchard, T., M. Coffey, R. Mrode, and E. Wall. 2013. Genetic parameters for production, health, fertility and longevity traits in dairy cows. Animal. 7(1): 34-46.
Rupp, R. and D. Boichard. 1999. Genetic parameters for clinical mastitis, somatic cell score, production, udder type traits, and milking ease in first lactation Holsteins. J. Dairy Sci. 82: 2198-2204
Samoré, A. B., R. Rizzi, A. Rossoni, and A. Bagnato. 2010. Genetic parameters for functional longevity, type traits, somatic cell scores, milk flow and production in the Italian Brown Swiss. Ital. J. Anim. Sci. 9(e28): 145-152.
Schaeffer, L. R. 2006. Strategy for applying genome-wide selection in dairy cattle. J. Anim. Breed Genet. 123: 218-23.
Schopen, G. C. B., M. H. P. W. visker, P. D. Koks, E. Mullaart, J. A. M. van Arendonk, and H. Bovenhuis. 2011. Whole-genome association study for milk protein compositionin dairy cattle. J. Dairy Sci. 94: 3148-3158.
Sewalem, a., F. Miglior, and G. J. Kistemaker. 2011. Short communication: Genetic parameters of milking temperament and milking speed in Canadian Holsteins. J. Dairy Sci. 94: 512-516.
Søndergaarda, E., M.K. Sørensen, I. L. Mao, and J. Jensen. 2002. Genetic parameters of production, feed intake, body weight, body composition, and udder health in lactating dairy cows. Livest. Prod. Sci. 77: 23-34.
Spurlock, D. M., J. C. M. Dekkers, R. Fernando, D. A. Koltes, and A. Wolc. 2012. Genetic parameters for energy balance, feed efficiency, and related traits in Holstein cattle. J. Dairy Sci. 95: 5393-5402.
Su, G., P. Madsen, U. S. Nielsen, E. A. Mäntysaari, G. P. Aamand, O. F. Christensen, and M. S. Lund. 2012. Genomic prediction for the Nordic Red Cattle using one-step and selection index blending approaches. J. Dairy Sci. 95: 909-917.
Szyda, J., M. Morek-Kopeć, J. Komisarek, and Andrzej Žarnecki. 2011. Evaluating markers in selected genes for association with functional longevity of dairy cattle. BMC Genetics. 12: 30. ten Nepel, J., M. P. L. Calus, H. A. and R. F. Veerkamp. 2009. Breeding for robustness in cattle. EAAP publication. No. 126. pp. 35-44.
Tiezzi, F., C. Maltecca, A. Cecchinato, M. Penasa, and G. Bittante. 2013. Thin and fat cows, and the nonlinear genetic relationship between body condition score and fertility. J. Dairy Sci. 96: 6730-6741. Tsuruta, S., I. Misztal, and T. J. Lawlor. 2005. Changing definition of productive life in US Holsteins: Effect on genetic correlations. J. Dairy Sci. 88: 1156-1165.
Tsuruta, S., I. Misztal, C. Huang, and t. J. Lawlor. 2009. Bivariate analysis of conception rates and test-day milk yields in Holsteins using a threshold-linear model with random regressions. J. Dairy Sci. 92: 2922-2930.
Tsuruta, S., I. Misztal, and T. J. Lawlor. 2013. Short communication: Genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows. J. Dairy Sci. 96: 3332-3335.
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