Search Results - "S. D. Kachman"

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  1. 1

    Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population by Ahlberg, C. M, L. A. Kuehn, R. M. Thallman, S. D. Kachman, W. M. Snelling, M. L. Spangler

    Published in Journal of animal science (01-05-2016)
    “…Birth weight (BWT) and calving difficulty (CD) were recorded on 4,579 first-parity females from the Germplasm Evaluation Program at the U.S. Meat Animal…”
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    Journal Article
  2. 2

    Evolution of starvation resistance in Drosophila melanogaster: measurement of direct and correlated responses to artificial selection by SCHWASINGER‐SCHMIDT, T. E., KACHMAN, S. D., HARSHMAN, L. G.

    Published in Journal of evolutionary biology (01-02-2012)
    “…Laboratory selection for resistance to starvation has been conducted under relatively controlled conditions to investigate direct and correlated responses to…”
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  3. 3

    Transcriptional profiling of the sperm storage organs of Drosophila melanogaster by Prokupek, A.M, Kachman, S.D, Ladunga, I, Harshman, L.G

    Published in Insect molecular biology (01-08-2009)
    “…The occurrence of female sperm storage across taxa indicates the importance of this complex and dynamic process. Organs responsible for sperm storage (SSOs)…”
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  4. 4

    Estimation of genetic parameters for average daily gain using models with competition effects by Chen, C.Y, Kachman, S.D, Johnson, R.K, Newman, S, Van Vleck, L.D

    Published in Journal of animal science (01-10-2008)
    “…Components of variance for ADG with models including competition effects were estimated from data provided by the Pig Improvement Company on 11,235 pigs from 4…”
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  5. 5

    Pregnancy rate and first-service conception rate in Angus heifers by Bormann, J. Minick, Totir, L.R, Kachman, S.D, Fernando, R.L, Wilson, D.E

    Published in Journal of animal science (01-08-2006)
    “…The objective of this project was to determine the genetic control of conception rate, or pregnancy percentage in Angus beef heifers. Producers from 6 herds in…”
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  6. 6

    Evaluating the Genetic Diversity of Triticale with Wheat and Rye SSR Markers by Kuleung, C, Baenziger, P.S, Kachman, S.D, Dweikat, I

    Published in Crop science (01-07-2006)
    “…Triticale (xTriticosecale Wittmack) is becoming increasingly important in agriculture and understanding its genetic diversity is essential for its continued…”
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  7. 7

    Effects of social interactions on empirical responses to selection for average daily gain of boars by Chen, C.Y, Johnson, R.K, Newman, S, Kachman, S.D, Van Vleck, L.D

    Published in Journal of animal science (01-03-2009)
    “…Effects of social interactions on responses to selection for ADG were examined with records of 9,720 boars from dam lines (1 and 2) and sire lines (3 and 4)…”
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  8. 8

    The impact of training strategies on the accuracy of genomic predictors in United States Red Angus cattle by Lee, J, Kachman, S D, Spangler, M L

    Published in Journal of animal science (01-08-2017)
    “…Genomic selection (GS) has become an integral part of genetic evaluation methodology and has been applied to all major livestock species, including beef and…”
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  9. 9

    Parameter estimates for direct, maternal, and grandmaternal genetic effects for birth weight and weaning weight in Hereford cattle by Dodenhoff, J, Van Vleck, L.D, Kachman, S.D, Koch, R.M

    Published in Journal of animal science (01-10-1998)
    “…Birth and weaning weights adjusted for age of dam from four lines of Hereford cattle were analyzed to determine the relationships among grand-maternal,…”
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  10. 10

    Genetic parameters for stayability, stayability at calving, and stayability at weaning to specified ages for Hereford cows by Martinez, G. E, Koch, R. M, Cundiff, L. V, Gregory, K. E, Kachman, S. D, Van Vleck, L. D

    Published in Journal of animal science (01-09-2005)
    “…Genetic parameters for stayability to six ages (ST1, . . ., ST6), for five measures of stayability to calving (SC2, . . ., SC6), and for five measures of…”
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  11. 11

    Estimation of breed-specific heterosis effects for birth, weaning, and yearling weight in cattle by Schiermiester, L N, Thallman, R M, Kuehn, L A, Kachman, S D, Spangler, M L

    Published in Journal of animal science (2015)
    “…Heterosis, assumed proportional to expected breed heterozygosity, was calculated for 6834 individuals with birth, weaning and yearling weight records from…”
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  12. 12

    Evaluation of autoregressive covariance structures for test-day records of Holstein cows: estimates of parameters by Sawalha, R M, Keown, J F, Kachman, S D, Van Vleck, L D

    Published in Journal of dairy science (01-07-2005)
    “…The objective of this study was to compare test-day (TD) models with autoregressive covariance structures for the estimation of genetic and environmental…”
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  13. 13

    Genetic evaluation of dairy cattle with test-day models with autoregressive covariance structures and with a 305-d model by Sawalha, R M, Keown, J F, Kachman, S D, Van Vleck, L D

    Published in Journal of dairy science (01-09-2005)
    “…This study compared genetic evaluations from 3 test-day (TD) models with different assumptions about the environmental covariance structure for TD records and…”
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  14. 14

    Technical Note: Calculation of standard errors of estimates of genetic parameters with the multiple-trait derivative-free restricted maximal likelihood programs by Kachman, S.D, Van Vleck, L.D

    Published in Journal of animal science (01-10-2007)
    “…The multiple-trait derivative-free REML set of programs was written to handle partially missing data for multiple-trait analyses as well as single-trait…”
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  15. 15

    Effects of supplementation of whole corn germ on reproductive performance, calf performance, and leptin concentration in primiparous and mature beef cows by Martin, J. L, Rasby, R. J, Brink, D. R, Lindquist, R. U, Keisler, D. H, Kachman, S. D

    Published in Journal of animal science (01-11-2005)
    “…A 2-yr study using primiparous and multiparous, spring-calving, crossbred beef cows was conducted to evaluate the effects of supplemental whole corn germ on…”
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  16. 16

    Long-term selection for litter size in swine results in shifts in allelic frequency in regions involved in reproductive processes by Trenhaile, M. D., Petersen, J. L., Kachman, S. D., Johnson, R. K., Ciobanu, D. C.

    Published in Animal genetics (01-10-2016)
    “…Summary High‐density genotype data were analyzed in three lines of swine that express substantial variation in sow fertility to uncover regions of the genome…”
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  17. 17

    Evaluation of genotyping concordance for commercial bovine SNP arrays using quality‐assurance samples by Wu, X.‐L., Xu, J., Li, H., Ferretti, R., He, J., Qiu, J., Xiao, Q., Simpson, B., Michell, T., Kachman, S. D., Tait, R. G., Bauck, S.

    Published in Animal genetics (01-08-2019)
    “…Summary SNP arrays are widely used in genetic research and agricultural genomics applications, and the quality of SNP genotyping data is of paramount…”
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  18. 18

    Impact of candidate sire number and sire relatedness on DNA polymorphism-based measures of exclusion probability and probability of unambiguous parentage by Sherman, G.B, Kachman, S.D, Hungerford, L.L, Rupp, G.P, Fox, C.P, Brown, M.D, Feuz, B.M, Holm, T.R

    Published in Animal genetics (01-06-2004)
    “…Summary Genetic paternity testing can provide sire identity data for offspring when females have been exposed to multiple males. However, correct paternity…”
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  19. 19

    GENOMICS SYMPOSIUM: Using genomic approaches to uncover sources of variation in age at puberty and reproductive longevity in sows by Wijesena, H R, Lents, C A, Riethoven, J-J, Trenhaile-Grannemann, M D, Thorson, J F, Keel, B N, Miller, P S, Spangler, M L, Kachman, S D, Ciobanu, D C

    Published in Journal of animal science (01-09-2017)
    “…Genetic variants associated with traits such as age at puberty and litter size could provide insight into the underlying genetic sources of variation impacting…”
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  20. 20

    Genome-wide prediction of age at puberty and reproductive longevity in sows by Tart, J. K., Johnson, R. K., Bundy, J. W., Ferdinand, N. N., McKnite, A. M., Wood, J. R., Miller, P. S., Rothschild, M. F., Spangler, M. L., Garrick, D. J., Kachman, S. D., Ciobanu, D. C.

    Published in Animal genetics (01-08-2013)
    “…Summary Traditional selection for sow reproductive longevity is ineffective due to low heritability and late expression of the trait. Incorporation of DNA…”
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