000095398 001__ 95398
000095398 005__ 20210902121831.0
000095398 0247_ $$2doi$$a10.3390/ani10061075
000095398 0248_ $$2sideral$$a119200
000095398 037__ $$aART-2020-119200
000095398 041__ $$aeng
000095398 100__ $$aCervantes, Isabel
000095398 245__ $$aCombining threshold, thurstonian and classical linear models in horse genetic evaluations for endurance competitions
000095398 260__ $$c2020
000095398 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095398 5203_ $$aThe racing time and rank at finish traits are commonly used for endurance horse breeding programs as a measure of their performance. Even so, given the nature of endurance competitions, many horses do not finish the race. However, the exclusion of non placed horses from the dataset could have an influence on the prediction of individual breeding values. The objective of the present paper was to develop a multitrait model including race time (T), rank (R) and placing (P), with different methodologies, to improve the genetic evaluation in endurance competitions in Spain. The database contained 6135 records from 1419 horses, with 35% of the records not placed. Horse pedigree included 10868 animals, with 52% Arab Horses. All models included gender, age and race effect as systematic effects and combined different random effects beside the animal and residual effects: rider, permanent environmental effect, and interaction horse-rider. The kilometers per race was included as a covariate for T. Heritabilities were estimated as moderately low, ranging from 0.06 to 0.14 for T, 0.09 to 0.15 for P, and 0.07 to 0.17 for R, depending on the model. T and R appeared mostly as inverse measures of the same trait due to their high genetic correlation, suggesting that T can be ignored in future genetic evaluations. P was the most independent trait from the genetic correlations. The possibility of simultaneously processing the threshold, Thurstonian and continuous traits has opened new opportunities for genetic evaluation in horse populations, and much more practical genetic evaluations can be done to help a proper genetic selection.
000095398 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095398 590__ $$a2.752$$b2020
000095398 591__ $$aVETERINARY SCIENCES$$b19 / 146 = 0.13$$c2020$$dQ1$$eT1
000095398 591__ $$aAGRICULTURE, DAIRY & ANIMAL SCIENCE$$b13 / 63 = 0.206$$c2020$$dQ1$$eT1
000095398 592__ $$a0.583$$b2020
000095398 593__ $$aVeterinary (miscellaneous)$$c2020$$dQ1
000095398 593__ $$aAnimal Science and Zoology$$c2020$$dQ1
000095398 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095398 700__ $$aGutiérrez, Juan Pablo
000095398 700__ $$aGarcía-ballesteros, Silvia
000095398 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, Luis$$uUniversidad de Zaragoza
000095398 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000095398 773__ $$g10, 6 (2020), 1075 [13 pp.]$$pAnimals (Basel)$$tAnimals$$x2076-2615
000095398 8564_ $$s516248$$uhttps://zaguan.unizar.es/record/95398/files/texto_completo.pdf$$yVersión publicada
000095398 8564_ $$s476598$$uhttps://zaguan.unizar.es/record/95398/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095398 909CO $$ooai:zaguan.unizar.es:95398$$particulos$$pdriver
000095398 951__ $$a2021-09-02-10:16:11
000095398 980__ $$aARTICLE