Search Results - "Mäntysaari, E A"

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  1. 1

    Efficient single-step genomic evaluation for a multibreed beef cattle population having many genotyped animals by Mäntysaari, E A, Evans, R D, Strandén, I

    Published in Journal of animal science (01-11-2017)
    “…An equivalent computational approach called ssGTBLUP was formulated for the original single-step GBLUP (ssGBLUP). In ssGTBLUP, the genomic relationship matrix…”
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    Journal Article
  2. 2

    Modeling of daily body weights and body weight changes of Nordic Red cows by Mäntysaari, P, Mäntysaari, E A

    Published in Journal of dairy science (01-10-2015)
    “…Increased availability of automated weighing systems have made it possible to record massive amounts of body weight (BW) data in a short time. If the BW…”
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  3. 3

    Single-step genomic evaluation using multitrait random regression model and test-day data by Koivula, M, Strandén, I, Pösö, J, Aamand, G P, Mäntysaari, E A

    Published in Journal of dairy science (01-04-2015)
    “…The objectives of this study were to evaluate the feasibility of use of the test-day (TD) single-step genomic BLUP (ssGBLUP) using phenotypic records of Nordic…”
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  4. 4

    Solving efficiently large single‐step genomic best linear unbiased prediction models by Strandén, I., Matilainen, K., Aamand, G.P., Mäntysaari, E.A.

    “…Summary Single‐step genomic BLUP (ssGBLUP) requires a dense matrix of the size equal to the number of genotyped animals in the coefficient matrix of mixed…”
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  5. 5

    Genetic associations of test-day fat:protein ratio with milk yield, fertility, and udder health traits in Nordic Red cattle by Negussie, E, Strandén, I, Mäntysaari, E A

    Published in Journal of dairy science (01-02-2013)
    “…Interest is growing in finding indicator traits for the evaluation of nutritional or tissue energy status of animals directly at the individual animal level…”
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  6. 6

    Genetic and phenotypic relationships among milk yield and somatic cell count before and after clinical mastitis by Koivula, M, Mäntysaari, E A, Negussie, E, Serenius, T

    Published in Journal of dairy science (01-02-2005)
    “…This paper studies whether cows with originally lower somatic cell count (SCC) are more susceptible to clinical mastitis (CM) than cows with higher somatic…”
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  7. 7

    Short communication: genetic parameters for feed intake, production, and extent of negative energy balance in Nordic Red dairy cattle by Liinamo, A-E, Mäntysaari, P, Mäntysaari, E A

    Published in Journal of dairy science (01-11-2012)
    “…The aim of this paper was to study the genetic parameters for feed intake, milk production, and energy balance in Nordic Red dairy cattle from an experimental…”
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  8. 8

    Estimating breeding values for feed efficiency in dairy cattle by regression on expected feed intake by Lidauer, M.H., Negussie, E., Mäntysaari, E.A., Mäntysaari, P., Kajava, S., Kokkonen, T., Chegini, A., Mehtiö, T.

    Published in Animal (Cambridge, England) (01-09-2023)
    “…•We introduced a new metric for evaluating feed efficiency in dairy cattle.•The new metric regresses dry matter intake on expected dry matter intake.•We…”
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  9. 9

    Polyethylene glycol as an indigestible marker to estimate fecal output in dairy cows by Ahvenjärvi, S, Nyholm, L, Nousiainen, J, Mäntysaari, E A, Lidauer, M

    Published in Journal of dairy science (01-05-2018)
    “…The objective of this study was to evaluate the accuracy of fecal output measurements using polyethylene glycol (PEG) as an external marker determined by…”
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  10. 10

    Energy efficiency and its relationship with milk, body, and intake traits and energy status among primiparous Nordic Red dairy cattle by Mäntysaari, P, Liinamo, A-E, Mäntysaari, E A

    Published in Journal of dairy science (01-06-2012)
    “…Existing variation in energy efficiency and its relationship with milk yield and milk composition, body weight and body condition, feed intake, and energy…”
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  11. 11

    Genomic prediction for Nordic Red Cattle using one-step and selection index blending by Su, G, Madsen, P, Nielsen, U S, Mäntysaari, E A, Aamand, G P, Christensen, O F, Lund, M S

    Published in Journal of dairy science (01-02-2012)
    “…This study investigated the accuracy of direct genomic breeding values (DGV) using a genomic BLUP model, genomic enhanced breeding values (GEBV) using a…”
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  12. 12

    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) by Koivula, M, Strandén, I, Su, G, Mäntysaari, E A

    Published in Journal of dairy science (01-07-2012)
    “…Several strategies to use genomic data in predictions have been proposed. The aim of this study was to compare different genomic prediction methods. The…”
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  13. 13

    Genetic analyses of metabolic body weight, carcass weight and body conformation traits in Nordic dairy cattle by Mehtiö, T., Pitkänen, T., Leino, A.-M., Mäntysaari, E.A., Kempe, R., Negussie, E., Lidauer, M.H.

    Published in Animal (Cambridge, England) (01-12-2021)
    “…Improving feed efficiency in dairy cattle by animal breeding has started in the Nordic countries. One of the two traits included in the applied Saved feed…”
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  14. 14

    Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population by Gao, H, Koivula, M, Jensen, J, Strandén, I, Madsen, P, Pitkänen, T, Aamand, G P, Mäntysaari, E A

    Published in Journal of dairy science (01-11-2018)
    “…Single-step genomic prediction models utilizing both genotyped and nongenotyped animals are likely to become the prevailing tool in genetic evaluations of…”
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  15. 15

    Genetic parameters for endocrine and traditional fertility traits, hyperketonemia and milk yield in dairy cattle by Häggman, J., Christensen, J. M., Mäntysaari, E. A., Juga, J.

    Published in Animal (Cambridge, England) (01-02-2019)
    “…High-yielding cows may suffer from negative energy balance during early lactation, which can lead to ketosis and delayed ability of returning to cyclicity…”
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  16. 16

    Non-invasive individual methane measurement in dairy cows by Negussie, E., Lehtinen, J., Mäntysaari, P., Bayat, A. R., Liinamo, A.-E., Mäntysaari, E. A., Lidauer, M. H.

    Published in Animal (Cambridge, England) (01-05-2017)
    “…Attempts to lower the environmental footprint of milk production needs a sound understanding of the genetic and nutritional basis of methane (CH4) emissions…”
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  17. 17

    Feed efficiency of rainbow trout can be improved through selection: Different genetic potential on alternative diets by Kause, A, Tobin, D, Houlihan, D. F, Martin, S. A. M, Mäntysaari, E. A, Ritola, O, Ruohonen, K

    Published in Journal of animal science (01-04-2006)
    “…To assess the genetic potential for selection of increased feed efficiency in rainbow trout (Oncorhynchus mykiss), we estimated the heritabilities and…”
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  18. 18

    Reducing bias in the dairy cattle single‐step genomic evaluation by ignoring bulls without progeny by Koivula, M., Strandén, I., Aamand, G.P., Mäntysaari, E.A.

    “…Summary The number of genotyped animals has increased rapidly creating computational challenges for genomic evaluation. In animal model BLUP, candidate animals…”
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  19. 19

    Genetic association of clinical mastitis with test-day somatic cell score and milk yield during first lactation of Finnish Ayrshire cows by Negussie, E, Strandén, I, Mäntysaari, E A

    Published in Journal of dairy science (01-03-2008)
    “…In this study the genetic association during lactation of 2 clinical mastitis (CM) traits: CM1 (7 d before to 30 d after calving) and CM2 (31 to 300 d after…”
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  20. 20

    Genetic correlations between energy status indicator traits and female fertility in primiparous Nordic Red Dairy cattle by Mehtiö, T, Mäntysaari, P, Negussie, E, Leino, A-M, Pösö, J, Mäntysaari, E A, Lidauer, M H

    Published in Animal (Cambridge, England) (2020)
    “…Inclusion of feed efficiency traits into the dairy cattle breeding programmes will require considering early lactation energy status to avoid deterioration in…”
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