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      Genetics of Lifetime Reproductive Performance in Italian Heavy Draught Horse Mares

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          Abstract

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          Fertility is a very important fitness trait in animal production because of its significant economic importance, particularly in species with low reproductive efficiency. For this reason, it should be included as a breeding objective, particularly in horses, where the trait has received less interest than in other species. In this study, we attempted to identify a variable able to detect the lifetime reproductive performance of Italian Heavy Draught Horse (IHDH) mares and to analyze its possible implementation for breeding purposes, with the final aim to increase mares’ fertility efficiency. A phenotypic variable to be used early in life (at least after 3 breeding seasons) has been identified and validated in the study and its genetic component estimated. Results obtained indicated the proposed phenotypic measure of fertility as a good predictor of the lifetime reproductive success in IHDH mares and the variable showed high heritability (that is, the transmittable genetic component) for a fitness trait. Therefore, the use of the lifetime fertility rate proposed in this study for breeding purposes seems feasible, although some limitations could occur in the accuracy of individual breeding value estimates of mares and stallions.

          Abstract

          Our aims were to find a phenotypic variable to express mares’ lifetime reproductive performance after 6 breeding seasons (BS) in Italian Heavy Draught Horse breed (IHDH), and to estimate its heritability. At first, 1487 mares in a training dataset were used to implement and validate a set of predictive coefficients (LFR-C) or equations (LFR-E) to estimate a lifetime foaling rate (LFR) after 6 BS, i.e., the number of foals generated divided by the opportunities to do so. Then, 3033 mares in a dataset with at least 3 registered BS, was used to estimate LFR for mares with 3, 4, or 5 registered RS. This dataset contained actual ( n = 1950) and estimated ( n = 1443) LFR, obtained by LFR-C, and LFR-E; Arcsine transformation of LFR-C and LFR-E were also analyzed in single trait animal models to estimate heritability. Overall, the LFR showed a moderate but significant genetic variation, and the heritability of the trait was high (0.24) considering it is a fitness trait. The arcsine transformation of LFR did not show any improvement of heritability. The present study indicates the possible use of a linear LFR variable for breeding purposes in IHDH breed considering both complete and incomplete reproductive careers.

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          ACCOUNTING FOR COVARIANCES AMONG TEST DAY MILK YIELDS IN DAIRY COWS

          Daily milk weights from 1006 lactations on 775 Holstein-Friesian cows in 42 herds and monthly test-day weights from 102 540 lactations on 73 717 cows in 17 481 herd-year-seasons were used to study the influence of covariances among milk weighings within a lactation on three models for describing the shape of the lactation curve for individual cows. The models included a gamma function, an inverse quadratic polynomial function, and a regression model of yields on day in lactation (linear and quadratic) and on log of 305 divided by day in lactation (linear and quadratic). For each model, several variance-covariance matrices of the observation vector were used. Models were compared on the basis of squared deviations of predicted versus actual milk weights and on the correlation between predicted and actual weights through the lactation averaged over cows. Better predictions were observed when covariances among test-day yields were ignored while models could be ranked regression model, gamma function, and inverse quadratic polynomial function in order of best to worst. Heritability estimates for the parameters of the various models and for 305-d milk yield ranged from 0.11 to 0.30. Genetic correlations were estimated and predictions of correlated responses in 305-d yield from selecting on various combinations of parameters from each method were computed. The best combination of parameters of the gamma function gave a relative efficiency of 74.7% as compared to selection for 305-d yield alone. Key words: Lactation curves, covariances, Holsteins
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            Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects

            Simulations were used to study the influence of model adequacy and data structure on the estimation of genetic parameters for traits governed by direct and maternal effects. To test model adequacy, several data sets were simulated according to different underlying genetic assumptions and analysed by comparing the correct and incorrect models. Results showed that omission of one of the random effects leads to an incorrect decomposition of the other components. If maternal genetic effects exist but are neglected, direct heritability is overestimated, and sometimes more than double. The bias depends on the value of the genetic correlation between direct and maternal effects. To study the influence of data structure on the estimation of genetic parameters, several populations were simulated, with different degrees of known paternity and different levels of genetic connectedness between flocks. Results showed that the lack of connectedness affects estimates when flocks have different genetic means because no distinction can be made between genetic and environmental differences between flocks. In this case, direct and maternal heritabilities are under-estimated, whereas maternal environmental effects are overestimated. The insufficiency of pedigree leads to biased estimates of genetic parameters.
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              Technical note: recursive algorithm for inbreeding coefficients assuming nonzero inbreeding of unknown parents.

              A recursive algorithm to calculate inbreeding coefficients was modified to account for nonzero inbreeding of unknown parents. The modification was done by changing one part of a recursive formula in which the inbreeding of an animal with at least one unknown parent is not zero and replacing it by the mean inbreeding of all animals born the same year. The algorithm is iterative. Testing involved 17 million US Holsteins. Convergence was reached in 6 rounds. The computing time per round was 4 min, twice as fast as the VanRaden algorithm based on the tabular method. The recursive algorithm is very simple; however, it requires that the recursion takes into account the order of animals. After a simple modification, the algorithm provides a very good approximation of inbreeding when the pedigree is unordered.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                23 June 2020
                June 2020
                : 10
                : 6
                : 1085
                Affiliations
                [1 ]Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy; max_fabio@ 123456libero.it (F.F.); cristina.sartori@ 123456unipd.it (C.S.)
                [2 ]Italian Heavy Draught Horse Breeders Association, 37068 Vigasio (VR), Italy; direzione@ 123456anacaitpr.it
                [3 ]Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA; shogo@ 123456uga.edu
                Author notes
                [* ]Correspondence: roberto.mantovani@ 123456unipd.it ; Tel.: +39-334-6958-571
                Author information
                https://orcid.org/0000-0002-1919-0559
                https://orcid.org/0000-0002-6897-6363
                https://orcid.org/0000-0002-2091-2280
                Article
                animals-10-01085
                10.3390/ani10061085
                7341281
                32586061
                cdf7c895-2bfb-4a5f-8dfe-60a2e1bc309c
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 May 2020
                : 21 June 2020
                Categories
                Article

                fertility,lifetime,genetic parameters,mares,heavy breeds,horse,italian heavy draught,fitness

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