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Purebred breeding goals optimized for crossbreeding improves crossbred performance

Research output: Contribution to book/anthology/report/proceedingConference abstract in proceedingsResearchpeer-review

Standard

Purebred breeding goals optimized for crossbreeding improves crossbred performance. / Thomasen, Jørn Rind; Nielsen, Hanne Marie; Kargo, Morten et al.

Book of Abstracts of the 73rd Annual Meeting - EAAp. Wageningen Academic Publishers, 2022. p. 598 (EAAP Book of Abstracts, Vol. 28).

Research output: Contribution to book/anthology/report/proceedingConference abstract in proceedingsResearchpeer-review

Harvard

Thomasen, JR, Nielsen, HM, Kargo, M & Slagboom, M 2022, Purebred breeding goals optimized for crossbreeding improves crossbred performance. in Book of Abstracts of the 73rd Annual Meeting - EAAp. Wageningen Academic Publishers, EAAP Book of Abstracts, vol. 28, pp. 598, 73 Annual Meeting of the European Federation of Animal Science, Porto, Portugal, 05/09/2022. https://doi.org/10.3920/978-90-8686-937-4

APA

Thomasen, J. R., Nielsen, H. M., Kargo, M., & Slagboom, M. (2022). Purebred breeding goals optimized for crossbreeding improves crossbred performance. In Book of Abstracts of the 73rd Annual Meeting - EAAp (pp. 598). Wageningen Academic Publishers. EAAP Book of Abstracts Vol. 28 https://doi.org/10.3920/978-90-8686-937-4

CBE

Thomasen JR, Nielsen HM, Kargo M, Slagboom M. 2022. Purebred breeding goals optimized for crossbreeding improves crossbred performance. In Book of Abstracts of the 73rd Annual Meeting - EAAp. Wageningen Academic Publishers. pp. 598. (EAAP Book of Abstracts, Vol. 28). https://doi.org/10.3920/978-90-8686-937-4

MLA

Thomasen, Jørn Rind et al. "Purebred breeding goals optimized for crossbreeding improves crossbred performance". Book of Abstracts of the 73rd Annual Meeting - EAAp. Wageningen Academic Publishers. (EAAP Book of Abstracts, Vol. 28). 2022, 598. https://doi.org/10.3920/978-90-8686-937-4

Vancouver

Thomasen JR, Nielsen HM, Kargo M, Slagboom M. Purebred breeding goals optimized for crossbreeding improves crossbred performance. In Book of Abstracts of the 73rd Annual Meeting - EAAp. Wageningen Academic Publishers. 2022. p. 598. (EAAP Book of Abstracts, Vol. 28). doi: 10.3920/978-90-8686-937-4

Author

Thomasen, Jørn Rind ; Nielsen, Hanne Marie ; Kargo, Morten et al. / Purebred breeding goals optimized for crossbreeding improves crossbred performance. Book of Abstracts of the 73rd Annual Meeting - EAAp. Wageningen Academic Publishers, 2022. pp. 598 (EAAP Book of Abstracts, Vol. 28).

Bibtex

@inbook{5fa913818bce4de0ab6ac8dcd83e258d,
title = "Purebred breeding goals optimized for crossbreeding improves crossbred performance",
abstract = "In contrast to other species, production animals in dairy cattle are mainly purebreds. However, crossbred cows are becoming more widespread due to better profitability from heterosis of economically important production and health traits. Currently, breeding goals (BGs) for purebreds used in crossbreeding systems are optimized for maximizing genetic gain in purebred cows. This might not be optimal when the aim is to increase heterosis and breed complementarity in order to maximize profit in crossbred cows. We hypothesize that differentiated BGs in purebreds that complement each other can improve the performance of crossbred production animals. To test this hypothesis, we set up a pure- and crossbreeding design using the simulation tool ADAM with two breeds, Danish Jersey (DJ) and Nordic Holstein (NH). Real marker genotypes from these two breeds were used as reference to resemble the real population structure of the two breeds. A progeny testing scheme was simulated for 20 years to build large genomic reference populations in each breed followed by a genomic testing scheme of 5 years. Finally, one generation of crossbreeding between the two purebreds was generated. The BG in the purebreds included two traits, a production trait and a health trait, with a genetic correlation between the 2 traits of -0.46 for DJ and -0.35 for NH. Three BGs with different economic values of the traits were set up to test the hypothesis: (1) a reference scenario resembling theweights in the present Nordic total merit index for DJ and NH; (2) the same BG in NH as in 1 but in DJ the BG had a higher weight on health; and (3) BGs only weighing production in NH and health in DJ. The three scenarios was evaluated in the crossbred population according to genetic level and dominance. Preliminary results show a higher degree of dominance in the crossbred animals compared to the purebred animals, but a lower genetic level, especially in scenario 3. The outcomes of this study can be used to evaluate the value of setting up BGs in purebreds specified for crossbreeding",
author = "Thomasen, {J{\o}rn Rind} and Nielsen, {Hanne Marie} and Morten Kargo and Margot Slagboom",
year = "2022",
doi = "10.3920/978-90-8686-937-4",
language = "English",
isbn = "978-90-8686-385-3",
series = "EAAP Book of Abstracts",
publisher = "Wageningen Academic Publishers",
pages = "598",
booktitle = "Book of Abstracts of the 73rd Annual Meeting - EAAp",
note = "73 Annual Meeting of the European Federation of Animal Science ; Conference date: 05-09-2022 Through 09-09-2022",

}

RIS

TY - ABST

T1 - Purebred breeding goals optimized for crossbreeding improves crossbred performance

AU - Thomasen, Jørn Rind

AU - Nielsen, Hanne Marie

AU - Kargo, Morten

AU - Slagboom, Margot

PY - 2022

Y1 - 2022

N2 - In contrast to other species, production animals in dairy cattle are mainly purebreds. However, crossbred cows are becoming more widespread due to better profitability from heterosis of economically important production and health traits. Currently, breeding goals (BGs) for purebreds used in crossbreeding systems are optimized for maximizing genetic gain in purebred cows. This might not be optimal when the aim is to increase heterosis and breed complementarity in order to maximize profit in crossbred cows. We hypothesize that differentiated BGs in purebreds that complement each other can improve the performance of crossbred production animals. To test this hypothesis, we set up a pure- and crossbreeding design using the simulation tool ADAM with two breeds, Danish Jersey (DJ) and Nordic Holstein (NH). Real marker genotypes from these two breeds were used as reference to resemble the real population structure of the two breeds. A progeny testing scheme was simulated for 20 years to build large genomic reference populations in each breed followed by a genomic testing scheme of 5 years. Finally, one generation of crossbreeding between the two purebreds was generated. The BG in the purebreds included two traits, a production trait and a health trait, with a genetic correlation between the 2 traits of -0.46 for DJ and -0.35 for NH. Three BGs with different economic values of the traits were set up to test the hypothesis: (1) a reference scenario resembling theweights in the present Nordic total merit index for DJ and NH; (2) the same BG in NH as in 1 but in DJ the BG had a higher weight on health; and (3) BGs only weighing production in NH and health in DJ. The three scenarios was evaluated in the crossbred population according to genetic level and dominance. Preliminary results show a higher degree of dominance in the crossbred animals compared to the purebred animals, but a lower genetic level, especially in scenario 3. The outcomes of this study can be used to evaluate the value of setting up BGs in purebreds specified for crossbreeding

AB - In contrast to other species, production animals in dairy cattle are mainly purebreds. However, crossbred cows are becoming more widespread due to better profitability from heterosis of economically important production and health traits. Currently, breeding goals (BGs) for purebreds used in crossbreeding systems are optimized for maximizing genetic gain in purebred cows. This might not be optimal when the aim is to increase heterosis and breed complementarity in order to maximize profit in crossbred cows. We hypothesize that differentiated BGs in purebreds that complement each other can improve the performance of crossbred production animals. To test this hypothesis, we set up a pure- and crossbreeding design using the simulation tool ADAM with two breeds, Danish Jersey (DJ) and Nordic Holstein (NH). Real marker genotypes from these two breeds were used as reference to resemble the real population structure of the two breeds. A progeny testing scheme was simulated for 20 years to build large genomic reference populations in each breed followed by a genomic testing scheme of 5 years. Finally, one generation of crossbreeding between the two purebreds was generated. The BG in the purebreds included two traits, a production trait and a health trait, with a genetic correlation between the 2 traits of -0.46 for DJ and -0.35 for NH. Three BGs with different economic values of the traits were set up to test the hypothesis: (1) a reference scenario resembling theweights in the present Nordic total merit index for DJ and NH; (2) the same BG in NH as in 1 but in DJ the BG had a higher weight on health; and (3) BGs only weighing production in NH and health in DJ. The three scenarios was evaluated in the crossbred population according to genetic level and dominance. Preliminary results show a higher degree of dominance in the crossbred animals compared to the purebred animals, but a lower genetic level, especially in scenario 3. The outcomes of this study can be used to evaluate the value of setting up BGs in purebreds specified for crossbreeding

U2 - 10.3920/978-90-8686-937-4

DO - 10.3920/978-90-8686-937-4

M3 - Conference abstract in proceedings

SN - 978-90-8686-385-3

T3 - EAAP Book of Abstracts

SP - 598

BT - Book of Abstracts of the 73rd Annual Meeting - EAAp

PB - Wageningen Academic Publishers

T2 - 73 Annual Meeting of the European Federation of Animal Science

Y2 - 5 September 2022 through 9 September 2022

ER -