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Journal articles on the topic 'Sire genetics'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Wall, E., M. P. Coffey, S. Brotherstone, J. A. Woolliams, and A. P. F. Flint. "Developing a UK Dairy Fertility Index." Proceedings of the British Society of Animal Science 2003 (2003): 47. http://dx.doi.org/10.1017/s1752756200012060.

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National dairy records have shown that correlations between production and fertility are generally unfavourable. There has therefore been a genetic downward trend for fertility due to the increase selection pressure on yield and as a genetic problem it requires a genetic solution. The effect of sire genetics on daughter fertility is included in many genetic indices around the world. As part of a DEFRA LINK project to produce an UK fertility index this study estimates genetic parameters and sire predicted transmitting ability (PTAs) for fertility traits in the UK.

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Vostrý, L., O. Kracíková, B. Hofmanová, V. Czerneková, T. Kott, and J. Přibyl. "Intra-line and inter-line genetic diversity in sire lines of the Old Kladruber horse based on microsatellite analysis of DNA." Czech Journal of Animal Science 56, No. 4 (2011): 163–75. http://dx.doi.org/10.17221/1437-cjas.

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The Old Kladruber horse is the oldest original Czech horse breed &ndash; gene resource, with pedigree records spanning three centuries. Because the population is closed, there is a concern about the loss of genetic variation. The genetic diversity within and amongst sire lines was evaluated using microsatellite markers and based on pedigree information. The DNA analysis, covering 16 microsatellite loci, revealed that the genetic diversity (observed heterozygosity = 0.637, genetic diversity = 0.678 and the mean number of alleles = 8.25) for the Old Kladruber horse is consistent with other p

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3

Rebbeck, Timothy R., Chanita Hughes Halbert, and Pamela Sankar. "Genetics, Epidemiology, and Cancer Disparities: Is it Black and White?" Journal of Clinical Oncology 24, no. 14 (2006): 2164–69. http://dx.doi.org/10.1200/jco.2005.05.1656.

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Epidemiologic studies attempt to understand the distribution and determinants of human disease. Epidemiologic research often incorporates information about race, ethnicity, or ancestry, usually as a self-identified race or ethnicity (SIRE) variable. Differences in the distribution and determinants of disease on the basis of SIRE may be identified in these studies. In addition, genetic and other biologic differences according to SIRE are frequently reported. If these differences are real and meaningful, they may have value in identifying disease-causative or -preventive factors, and thus may be

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4

de Villena, Fernando Pardo-Manuel, Elena de la Casa-Esperón, Jean W. Williams, Jan-Michel Malette, Michelle Rosa, and Carmen Sapienza. "Heritability of the Maternal Meiotic Drive System Linked toOmand High-Resolution Mapping of theResponderLocus in Mouse." Genetics 155, no. 1 (2000): 283–89. http://dx.doi.org/10.1093/genetics/155.1.283.

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AbstractABSTRACT Matings between (C57BL/6 × DDK)F1 females and C57BL/6 males result in a significant excess of offspring inheriting maternal DDK alleles in the central region of mouse chromosome 11 due to meiotic drive at the second meiotic division. We have shown previously that the locus subject to selection is in the vicinity of D11Mit66, a marker closely linked to the Om locus that controls the preimplantation embryolethal phenotype known as the “DDK syndrome.” We have also shown that observation of meiotic drive in this system depends upon the genotype of the sire. Here we show that femal

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Mosig, Mathias O., Ehud Lipkin, Galina Khutoreskaya, Elena Tchourzyna, Morris Soller, and Adam Friedmann. "A Whole Genome Scan for Quantitative Trait Loci Affecting Milk Protein Percentage in Israeli-Holstein Cattle, by Means of Selective Milk DNA Pooling in a Daughter Design, Using an Adjusted False Discovery Rate Criterion." Genetics 157, no. 4 (2001): 1683–98. http://dx.doi.org/10.1093/genetics/157.4.1683.

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Abstract Selective DNA pooling was employed in a daughter design to screen all bovine autosomes for quantitative trait loci (QTL) affecting estimated breeding value for milk protein percentage (EBVP%). Milk pools prepared from high and low daughters of each of seven sires were genotyped for 138 dinucleotide microsatellites. Shadow-corrected estimates of sire allele frequencies were compared between high and low pools. An adjusted false discovery rate (FDR) method was employed to calculate experimentwise significance levels and empirical power. Significant associations with milk protein percent

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6

McGREGOR, B. A., and K. L. BUTLER. "Variation of mohair staple length across Angora goat fleeces: implications for animal selection and fleece evaluation." Journal of Agricultural Science 147, no. 4 (2009): 493–501. http://dx.doi.org/10.1017/s0021859609008703.

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SUMMARYThe present study aimed to determine how the average mohair staple length (SL) differences between nine sampling sites vary between sex and flock, to identify differences in SL variability between sampling sites as a result of between-animal and between-sire variability and to determine SL correlations between sampling sites in between-animal and between-sire variability. Australian Angora goats (n=301) from two farms in southern Australia were sampled at 12 and 18 months of age at nine sites (mid side, belly, brisket, hind flank, hip, hock, mid back, neck and shoulder). Staples were ta

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7

Li, L., P. M. Gurman, A. A. Swan, and D. J. Brown. "Single-step genomic evaluation of lambing ease in Australian terminal sire breed sheep." Animal Production Science 61, no. 18 (2021): 1990. http://dx.doi.org/10.1071/an21257.

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Context Australian sheep breeding values (ASBVs) for the categorical trait of lambing ease are routinely estimated by Sheep Genetics via a threshold model. This has been pedigree-only, and has not utilised genomic information. Aim The present study aimed to update the genetic evaluation model and parameters for lambing ease for terminal sire sheep (dominated by White Suffolk and Poll Dorset breeds). The model includes correlations with birthweight and gestation length. Cross-validation was used to determine the value of the improved models and the inclusion of genomic information. Methods New

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8

Beaudry, T. F., B. G. Cassell, M. L. McGilliard, and G. Kroll. "Impact of Trait Maximized on Sire Averages from Computerized Sire Selection." Journal of Dairy Science 69, no. 6 (1986): 1686–92. http://dx.doi.org/10.3168/jds.s0022-0302(86)80587-2.

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Ron, Micha, David Kliger, Esther Feldmesser, Eyal Seroussi, Ephraim Ezra, and Joel Ira Weller. "Multiple Quantitative Trait Locus Analysis of Bovine Chromosome 6 in the Israeli Holstein Population by a Daughter Design." Genetics 159, no. 2 (2001): 727–35. http://dx.doi.org/10.1093/genetics/159.2.727.

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Abstract Nine Israeli Holstein sire families with 2978 daughters were analyzed for quantitative trait loci effects on chromosome 6 for five milk production traits by a daughter design. All animals were genotyped for 2 markers. The three families with significant effects were genotyped for up to 10 additional markers spanning positions 0–122 cM of BTA6. Two sires were segregating for a locus affecting protein and fat percentage near position 55 cM with an estimated substitution effect of 0.18% protein, which is equivalent to one phenotypic standard deviation. This locus was localized to a confi

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Earnhardt, Audrey L., Don A. Neuendorff, Charles R. Long, Thomas H. Welsh, and Ron D. Randel. "26 Evaluation of sire versus dam effect on age at first calving in Brahman heifers." Journal of Animal Science 98, Supplement_4 (2020): 23. http://dx.doi.org/10.1093/jas/skaa278.042.

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Abstract This study evaluated the possible effects of sire and dam on age at first calving in Brahman heifers. A total of 570 heifers born between the years 2001 and 2017 were exposed as yearlings to fertile bulls through time of pregnancy determination. A calving code was determined by calculating the mean (993 d) and standard deviation (187 d) of heifer age at first calving. Heifers considered to calve early (≤899 d; calving code = 1) or late (≥1087 d; calving code = 3) were at least half a standard deviation (94 d) away from the mean. All other heifers were considered to have a normal age a

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Huisman, A. E., D. J. Brown, and N. M. Fogarty. "Ability of sire breeding values to predict progeny bodyweight, fat and muscle using various transformations across environments in terminal sire sheep breeds." Animal Production Science 56, no. 1 (2016): 95. http://dx.doi.org/10.1071/an14666.

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Data used for the genetic evaluation of the terminal sire sheep breeds in Australia originate from a large range of genotypes and environments. This means there are large differences in the level of production and therefore contemporary group means and variances within the data. This study examined four transformations to account for the heterogeneity of variance in the observed data and their effect on the ability of estimated breeding values of sires (sire EBV) to predict progeny performance. This predictive ability was described by regressing offspring performance on sire EBV. The expected

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Greene, Maslyn A., and Susan K. Duckett. "40 Texel Genetics Increase Muscle Growth by Altering Satellite Cell Characteristics." Journal of Animal Science 101, Supplement_1 (2023): 33–34. http://dx.doi.org/10.1093/jas/skad068.039.

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Abstract The Texel breed is a double muscled breed of sheep that is commonly used as a terminal sire in meat-production. The increase in muscle mass is related to a single nucleotide polymorphism in the myostatin gene, a myokine that inhibits muscle growth. There is limited information on how postnatal skeletal muscle fiber hypertrophy is altered in Texel lambs. Satellite cells or muscle stem cells have a major role in postnatal hypertrophy of muscle fibers. Satellite cells are generally found in a state of quiescence and must activate, proliferate, and differentiate to increase DNA content in

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13

Ochoa, R. F., J. F. Taylor, M. A. Tomaszewski, and R. D. Lacewell. "Effects of Sire Fertility and Daughter Stayability on Profitability of Sire Selection." Journal of Dairy Science 74, no. 11 (1991): 3961–72. http://dx.doi.org/10.3168/jds.s0022-0302(91)78591-3.

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14

Notter, D. R. "The Crossbred Sire: Theory." Journal of Animal Science 65, no. 1 (1987): 99–109. http://dx.doi.org/10.2527/jas1987.65199x.

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15

Sánchez, Leopoldo, Piter Bijma, and John A. Woolliams. "Minimizing Inbreeding by Managing Genetic Contributions Across Generations." Genetics 164, no. 4 (2003): 1589–95. http://dx.doi.org/10.1093/genetics/164.4.1589.

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Abstract Here we present the strategy that achieves the lowest possible rate of inbreeding (ΔF) for a population with unequal numbers of sires and dams with random mating. This new strategy results in a ΔF as much as 10% lower than previously achieved. A simple and efficient approach to reducing inbreeding in small populations with sexes of unequal census number is to impose a breeding structure where parental success is controlled in each generation. This approach led to the development of strategies for selecting replacements each generation that were based upon parentage, e.g., a son replac

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16

Mathes, Eugene W. "Behavior Genetics and a Horse's Show Performance." Psychological Reports 72, no. 2 (1993): 530. http://dx.doi.org/10.2466/pr0.1993.72.2.530.

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The purpose of this research was to assess whether it is possible to predict a Morgan horse's show performance on the basis of that of its sire. An examination of the show records of the 550 horses that had placed in the 1991 Grand National Morgan Horse Show yielded some support for prediction.

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17

Richardson, Katylyn J., David G. Lust, Ty E. Lawrence, and Tommy L. Perkins. "157 Comparison of Reproductive and Early Growth Performance of an F1 Usda Prime Yield Grade one Carcass Clone Sire and an Industry-Leading Purebred Sire in the Beef x Dairy Production System." Journal of Animal Science 100, Supplement_3 (2022): 68–69. http://dx.doi.org/10.1093/jas/skac247.135.

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Abstract The objectives of this research were to determine if an F1 USDA Prime, yield grade 1 sire produced from the WTAMU PrimeOne Project (Sire A) was a competitive sire for producing dairy composites when compared to a purebred Angus sire (Sire B), and to evaluate any subsequent reproductive impact of sire on dam. Dairy cows (n = 1,930) were artificially inseminated resulting in 763 pregnancies with 564 births and 536 live calves. Data was collected at a large commercial dairy and analyzed using SAS 9.4 with sire as fixed effect; lactation, breeding technician and services per conception we

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18

Pollott, G. E., and J. C. Greeff. "Genetic relationships between faecal egg count and production traits in commercial Merino sheep flocks." Animal Science 79, no. 1 (2004): 21–32. http://dx.doi.org/10.1017/s1357729800054497.

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AbstractIn several countries the gastro-intestinal parasites of sheep show evidence of resistance to the commonly used anthelmintic treatments. The use of animals with genetic resistance to such parasites has been shown to be a viable alternative in a number of resource flocks. However, the genetics of host resistance to parasites in industry flocks and the effects on production traits of using resistant sheep is relatively unknown. This study addresses these questions using data from 55 commercial Merino flocks in Australia. The heritability and genetic correlations were estimated for faecal

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19

Pollott, G. E., and D. R. Guy. "The genetics of lean meat estimators in a suffolk sire referencing scheme." Proceedings of the British Society of Animal Production (1972) 1992 (March 1992): 178. http://dx.doi.org/10.1017/s0308229600022881.

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The use of ultra-sound scanning to estimate fat and muscle dimensions in live sheep is increasing in Britain. When used in the appropriate recording and genetic schemes these measurements, in conjunction with other information, can be used to estimate body composition in the live animal. Pollott and Guy (1992) have outlined the background and organisation of a sire-referencing scheme in the Suffolk breed, in Britain.The use of BLUP techniques in this scheme requires the use of appropriate genetic parameters derived using the same model as that used for BLUP estimations. Computer programs utili

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20

Franco-Johannsen, Gessica A., Marcos Henrique C. Pereira, M. Sophia Ortega, et al. "PSV-8 Sire field fertility does not correlate with sire conception rate (SCR) score." Journal of Animal Science 99, Supplement_3 (2021): 304–5. http://dx.doi.org/10.1093/jas/skab235.560.

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Abstract Accurate sire fertility evaluation remains a significant challenge in the livestock industry. Sire conception rate (SCR) has been used since 2008 in the dairy industry to rank sire fertility. The objective was to characterize individual sire pregnancy rate, pregnancy loss, and determine the correlation with the sire’s respective SCR. Our main hypothesis is that large variances in fertility parameters by sire cannot be explained by variance of the SCR values. Data from 6,570 timed artificial inseminations (AI) and 25,287 timed embryo transfers (ET) from 55 dairy farms were retrospectiv

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Franco-Johannsen, Gessica A., Marcos Henrique C. Pereira, M. Sophia Ortega, et al. "PSV-8 Sire field fertility does not correlate with sire conception rate (SCR) score." Journal of Animal Science 99, Supplement_3 (2021): 304–5. http://dx.doi.org/10.1093/jas/skab235.560.

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Abstract Accurate sire fertility evaluation remains a significant challenge in the livestock industry. Sire conception rate (SCR) has been used since 2008 in the dairy industry to rank sire fertility. The objective was to characterize individual sire pregnancy rate, pregnancy loss, and determine the correlation with the sire’s respective SCR. Our main hypothesis is that large variances in fertility parameters by sire cannot be explained by variance of the SCR values. Data from 6,570 timed artificial inseminations (AI) and 25,287 timed embryo transfers (ET) from 55 dairy farms were retrospectiv

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22

Badmus, K.A, M. Kabir, I.A Adeyinka, E.O Adejoh-Ubani, and S.M. Muhammad. "length-weight relationship, TL-SL relationship, Condition factor, Tilapia zilli." Continental J. Animal and Veterinary Research 6, no. 1 (2014): 11–18. https://doi.org/10.5281/zenodo.818547.

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This study was conducted to genetically evaluate the performance of male and female broiler lines in National Animal Production Research Institute (NAPRI). Data on body weight and body linear measurements were obtained from 350 progenies consisting of 100 birds each for sire and dam line and 75 birds each for sire control and dam control respectively. The growth and body linear measurements traits considered were body weight (BW), body length (BL), Body girth (BG), Thigh length (TL), keel length (KL) and Shank length (SL) which were measured biweekly. 6 birds were sampled out from each groups

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23

Krupa, Emil, Zuzana Krupová, Eliška Žáková, Jiří Bauer, Nina Moravčíková, and Irena Vrtková. "An Assessment of the Genetic Parameters of Boars’ Reproductive Traits." Genes 14, no. 11 (2023): 2003. http://dx.doi.org/10.3390/genes14112003.

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The aim of this study was to estimate genetic parameters for the reproductive traits of boars based on single-nucleotide polymorphism data. A total of 109,836 semen samples from 2249 boars were collected between 2010 and 2022. Five basic traits were assessed: sperm volume, sperm concentration, motility, number of abnormal sperm, and, for the first time for the local population, libido. In addition, two derived traits were assessed: total sperm count and number of functional sperm. Genetic parameters were estimated using the single-step genomic best linear unbiased prediction method (ssGBLUP).

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Li, L., and D. J. Brown. "Estimation of genetic parameters for lambing ease, birthweight and gestation length in Australian sheep." Animal Production Science 56, no. 5 (2016): 934. http://dx.doi.org/10.1071/an14129.

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This study presents estimates of genetic parameters for lambing ease (LE), birthweight (BW) and gestation length (GL) in Australian terminal sire sheep breeds using data from the Sheep Genetics LAMBPLAN database. LE was scored on lambs on a 1–5 scale, with 1 being no assistance and 5 being other such as special veterinary assistance. The full dataset consisted of 43 448 records on LE and its two subsets (the single and twin subsets) based on the birth type of the litter were analysed. Four models with different combinations of random effects consisting of direct genetic, maternal genetic and m

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Van Tassell, C. P., and P. J. Berger. "Consideration of Sire Relationships for Estimation of Variance Components with Interaction of Herd and Sire." Journal of Dairy Science 77, no. 1 (1994): 313–24. http://dx.doi.org/10.3168/jds.s0022-0302(94)76956-3.

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Hegarty, R. S., J. R. McFarlane, R. Banks, and S. Harden. "Association of plasma metabolites and hormones with the growth and composition of lambs as affected by nutrition and sire genetics." Australian Journal of Agricultural Research 57, no. 6 (2006): 683. http://dx.doi.org/10.1071/ar05260.

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An experiment was conducted to test 3 hypotheses regarding the variation in plasma parameters and their association with lamb growth and composition. The experiment tested whether sire genetics and available nutrition affected specific plasma traits, whether these traits were associated with growth and compositional characteristics, and whether data on plasma traits could improve the prediction of growth and carcass composition. Lambs (n = 103) produced by sires differing in estimated breeding values for growth, muscling, and fat were reared on LOW or HIGH planes of lifetime nutrition. Blood s

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Kirkegaard, Emil, Michael Woodley of Menie, Robert Williams, John Fuerst, and Gerhard Meisenberg. "Biogeographic Ancestry, Cognitive Ability and Socioeconomic Outcomes." Psych 1, no. 1 (2019): 1–25. http://dx.doi.org/10.3390/psych1010001.

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The cause(s) of ubiquitous cognitive differences between American self-identified racial/ethnic groups (SIREs) is uncertain. Evolutionary-genetic models posit that ancestral genetic selection pressures are the ultimate source of these differences. Conversely, sociological models posit that these differences result from racial discrimination. To examine predictions based on these models, we conducted a global admixture analysis using data from the Pediatric Imaging, Neurocognition, and Genetics Study (PING; N = 1,369 American children). Specifically, we employed a standard methodology of geneti

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Kirkegaard, Emil, Michael Woodley of Menie, Robert Williams, John Fuerst, and Gerhard Meisenberg. "Biogeographic Ancestry, Cognitive Ability and Socioeconomic Outcomes." Psych 1, no. 1 (2019): 1–25. http://dx.doi.org/10.3390/psychology1010001.

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The cause(s) of ubiquitous cognitive differences between American self-identified racial/ethnic groups (SIREs) is uncertain. Evolutionary-genetic models posit that ancestral genetic selection pressures are the ultimate source of these differences. Conversely, sociological models posit that these differences result from racial discrimination. To examine predictions based on these models, we conducted a global admixture analysis using data from the Pediatric Imaging, Neurocognition, and Genetics Study (PING; N = 1,369 American children). Specifically, we employed a standard methodology of geneti

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29

Pooley, Christopher M., Glenn Marion, Stephen C. Bishop, Richard I. Bailey, and Andrea B. Doeschl-Wilson. "Estimating individuals’ genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data." PLOS Computational Biology 16, no. 12 (2020): e1008447. http://dx.doi.org/10.1371/journal.pcbi.1008447.

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Individuals differ widely in their contribution to the spread of infection within and across populations. Three key epidemiological host traits affect infectious disease spread: susceptibility (propensity to acquire infection), infectivity (propensity to transmit infection to others) and recoverability (propensity to recover quickly). Interventions aiming to reduce disease spread may target improvement in any one of these traits, but the necessary statistical methods for obtaining risk estimates are lacking. In this paper we introduce a novel software tool called SIRE (standing for “Susceptibi

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Xie, Zhongwei, Mailin Gan, Junhua Du, et al. "Comparison of Growth Performance and Plasma Metabolomics between Two Sire-Breeds of Pigs in China." Genes 14, no. 9 (2023): 1706. http://dx.doi.org/10.3390/genes14091706.

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The Yorkshire pigs, renowned for their remarkable growth rate, low feed conversion ratio (FCR), and high meat production, emerge as a novel preference for paternal breeding. In this study, we found that purebred paternal Yorkshire pigs (PY) surpass the purebred Duroc breed in terms of growth rate. Specifically, purebred PY attain a weight of 100 kg at an earlier age compared to purebred Duroc (Male, 145.07 vs. 162.91; Female, 145.91 vs. 167.57; p-value < 0.01). Furthermore, different hybrid combinations suggest that offspring involving purebred PY exhibit superior growth performance. Compar

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Rattanaronchart, Suwat, M. Grossman, W. A. Mohammad, R. D. Shanks, and A. J. Lee. "Sire and Sire-Feeding Regimen Interaction Effects on Lactation, Growth, and Carcass Traits in Dairy Cattle." Journal of Dairy Science 68, no. 5 (1985): 1311–19. http://dx.doi.org/10.3168/jds.s0022-0302(85)80963-2.

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Dematawewa, C. M. B., P. J. Berger, and B. E. Melton. "Optimization of Sire Selection Based on Maximization of Guaranteed Income and Risk Associated with Sire Merit." Journal of Dairy Science 81, no. 3 (1998): 807–16. http://dx.doi.org/10.3168/jds.s0022-0302(98)75638-3.

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Wedell, N., and T. Tregenza. "Successful Fathers Sire Successful Sons." Evolution 53, no. 2 (1999): 620. http://dx.doi.org/10.2307/2640798.

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Wedell, N., and T. Tregenza. "SUCCESSFUL FATHERS SIRE SUCCESSFUL SONS." Evolution 53, no. 2 (1999): 620–25. http://dx.doi.org/10.1111/j.1558-5646.1999.tb03797.x.

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Mills, Tess D., Kathy A. Larson, Mika Asai-Coakwell, Diego Moya Fernandez, John R. Campbell, and Bart Lardner. "85 DNA parentage in multi-sire breeding groups and sire repeatability on replacement heifer performance." Journal of Animal Science 97, Supplement_3 (2019): 73–74. http://dx.doi.org/10.1093/jas/skz258.153.

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Abstract The objective of this study was to apply DNA parentage testing in multi-sire breeding groups to assess repeatability of a sire’s impact on replacement females and terminal animals. Parentage testing was performed on DNA from 37 bulls and 1578 calves from a commercial ranch using natural breeding in four multi-sire breeding pastures over a four-year period (2015–2018). Parentage data was analyzed using Chi-square procedures. In 2016 and 2018, all bulls in the four breeding groups sired significantly different (P &lt; 0.01) numbers of calves than expected. In 2015 and 2017, bulls in

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Foulley, JL, D. Gianola, and D. Planchenault. "Sire evaluation with uncertain paternity." Genetics Selection Evolution 19, no. 1 (1987): 83. http://dx.doi.org/10.1186/1297-9686-19-1-83.

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Aymerich, Pau, Encarnación Jiménez-Moreno, Jordi Bonet, Domingo Carrión, and Jaume Coma. "PSXIII-6 Fat deposition in castrated pigs for production of dry-cured ham: Evaluation of nutritional and genetic strategies." Journal of Animal Science 97, Supplement_3 (2019): 477–78. http://dx.doi.org/10.1093/jas/skz258.938.

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Abstract Fat deposition is an important trait for the dry-cured ham industry. A minimum ham fat thickness (HFT) is required for adequate processing. The objective of this study was to evaluate two different strategies to meet this minimum requirement, a nutritional and a genetic one. The study involved productive performance of a total of 147,883 animals (barrows and gilts) from 164 farms. The experimental unit for carcass traits harvested was a truck with 200 pigs each. The nutritional strategy consisted in reducing the SID Lys:NE during one month before slaughter in combination with a feed a

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Christenson, Dempster M., Rick N. Funston, Jordan M. Thomas, Dan J. Kelly, and John G. Maddux. "PSIV-7 Multi-Sire Artificial Insemination of Beef Heifers in the Nebraska Sandhills May Increase Pregnancy Rate Compared with Single-Sire Insemination." Journal of Animal Science 101, Supplement_2 (2023): 336–37. http://dx.doi.org/10.1093/jas/skad341.382.

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Abstract The objective of these studies was to observe pregnancy outcomes resulting from artificial insemination (AI) with multi-sire semen (MS) compared with single-sire semen (SS) in beef heifers. One study compared MS AI to SS AI and the other study observed the pregnancy rate to AI using sexed MS semen. In the first study, three bulls were selected for AI of 441 heifers in year one. Heifers were synchronized with the melengestrol acetate – PGF2α – GnRH protocol using estrus detection and timed AI. Seventy-five single-sire straws of semen, from each bull, were labeled A, B, or C. Remaining

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Dodd, Logan, David Anderson, David G. Riley, Barton Johnson, and Andy D. Herring. "91 Assessing Variability of Herd Sire Economic Value for Commercial Operations." Journal of Animal Science 99, Supplement_3 (2021): 46–47. http://dx.doi.org/10.1093/jas/skab235.082.

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Abstract Number of calves (n = 596) and weaning calf value (n = 574) from natural service, multi-sire breeding groups were evaluated in a crossbred research herd. Sires and dams that were F1 crosses of Angus (A) and Nellore (N) were mated annually during 60 to 90-day breeding seasons to produce spring-born calves in 2009–2015. Numbers of sires used annually varied from 5 to 9; numbers of females exposed per bull ranged from 14 to 22 across years. Bulls were pastured together throughout the year as well as breeding seasons. Sires were identified based on calf DNA genotyping. Calf number, birth

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Roff, D. A. "Comparing sire and dam estimates of heritability: jackknife and likelihood approaches." Heredity 100, no. 1 (2007): 32–38. http://dx.doi.org/10.1038/sj.hdy.6801048.

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Kilian, Levi R. "146 Effect of Sire on Methane Production." Journal of Animal Science 101, Supplement_3 (2023): 33. http://dx.doi.org/10.1093/jas/skad281.040.

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Abstract The objective of this study was to determine if sires have a significant effect on methane (CH4) production in a feedlot setting. To reduce the emission of greenhouse gases from cattle, evaluating variables that are easy to manage and change becomes important for a solution. If sires influence methane production, selection can be used to reduce methane production in cattle as sire differences are indicative of a genetic influence. The data used in this study were obtained from Colorado State University (CSU), with animals from John E. Rouse Beef Improvement Center. Animals with methan

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Longtine, M. S., S. Enomoto, S. L. Finstad, and J. Berman. "Telomere-mediated plasmid segregation in Saccharomyces cerevisiae involves gene products required for transcriptional repression at silencers and telomeres." Genetics 133, no. 2 (1993): 171–82. http://dx.doi.org/10.1093/genetics/133.2.171.

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Abstract Plasmids that contain Saccharomyces cerevisiae TG1-3 telomere repeat sequences (TRS plasmids) segregate efficiently during mitosis. Mutations in histone H4 reduce the efficiency of TRS-mediated plasmid segregation, suggesting that chromatin structure is involved in this process. Sir2, Sir3 and Sir4 are required for the transcriptional repression of genes located at the silent mating type loci (HML and HMR) and at telomeres (telomere position effect) and are also involved in the segregation of TRS plasmids, indicating that TRS-mediated plasmid segregation involves factors that act at c

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Boettcher, P. J., L. K. Jairath, and P. M. VanRaden. "Evaluation of Sire Predicted Transmitting Abilities for Evidence of X-Chromosomal Inheritance in North American Sire Families." Journal of Dairy Science 84, no. 1 (2001): 256–65. http://dx.doi.org/10.3168/jds.s0022-0302(01)74475-x.

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Ron, M., M. Band, A. Wyler, and J. I. Weller. "Unequivocal determination of sire allele origin for multiallelic microsatellites when only the sire and progeny are genotyped." Animal Genetics 24, no. 3 (2009): 171–76. http://dx.doi.org/10.1111/j.1365-2052.1993.tb00282.x.

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Carter, Mason A., and Tommy L. Perkins. "PSXII-17 The Influence of Sire on Gestation Length and Calf Performance." Journal of Animal Science 101, Supplement_3 (2023): 433. http://dx.doi.org/10.1093/jas/skad281.513.

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Abstract The objective of this study was to determine sire effects on calf gestation length (GL), birthweight (BW), weaning weight (WW), and intermediate feedlot weight (IFW) in beef cattle. In this study, five sires (four Braunvieh and one Simmental) were used to artificially inseminate (AI) commercial cows in Northwest Arkansas resulting in crossbred calves (n = 76) being born in the Fall 2021. Dates for AI were recorded at time of service in December 2020. At parturition, the calf date of birth (DOB) and a hoof-tape BW were recorded. Calf performance data collection included WW and IFW. Cal

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Fikse, W. F., and G. Banos. "Weighting Factors of Sire Daughter Information in International Genetic Evaluations." Journal of Dairy Science 84, no. 7 (2001): 1759–67. http://dx.doi.org/10.3168/jds.s0022-0302(01)74611-5.

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Hurst, Caleb W., R. Mark Enns, Craig Huffhines, Kim R. Stackhouse-Lawson, and Scott E. Speidel. "138 Sire Differences for Blood Urea Nitrogen (BUN) in Hereford Cattle." Journal of Animal Science 101, Supplement_3 (2023): 31–32. http://dx.doi.org/10.1093/jas/skad281.038.

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Abstract Excess Nitrogen excretion is a growing concern worldwide within animal agriculture, and blood urea nitrogen (BUN; mg/dL) is known as a predictor of nitrogen excretion in cattle. The objective of this study was to determine sire differences in BUN within a population of Hereford steers. Steers (n = 74) were born between March and June of 2021 from a reference sire herd for The American Hereford Association in Western Nebraska. Sixteen different Hereford sires from The American Hereford Association reference sire program produced offspring used in this study. The steers entered an on-si

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Fogarty, N. M., V. M. Ingham, A. R. Gilmour, et al. "Genetic evaluation of crossbred lamb production. 2. Breed and fixed effects for post-weaning growth, carcass, and wool of first-cross lambs." Australian Journal of Agricultural Research 56, no. 5 (2005): 455. http://dx.doi.org/10.1071/ar04222.

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The study evaluated post-weaning growth, carcass characteristics, and wool production of crossbred progeny of 91 sires from more than 7 maternal breeds (including Border Leicester, East Friesian, Finnsheep, Coopworth, White Suffolk, Corriedale, and Booroola Leicester). The sires were joined to Merino and Corriedale ewes at 3 sites over 3 years with 3 link sires in common at each site and year. Post-weaning weight at an average age of 200 days of 2841 ewes and 3027 wethers was analysed using mixed model procedures. The wethers were slaughtered at an average age of 214 days and carcass weight, f

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Ivy, John M., James B. Hicks, and Amar J. S. Klar. "MAP POSITIONS OF YEAST GENES SIR1, SIR3 and SIR4." Genetics 111, no. 4 (1985): 735–44. http://dx.doi.org/10.1093/genetics/111.4.735.

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ABSTRACT The HML and HMR loci in the yeast Saccharomyces cerevisiae each contain a complete copy of mating-type information. HML and HMR normally are transcriptionally inactive due to four unlinked genes, known as MAR or SIR or CMT. The map position of MAR1 (SIR2) has been reported previously; it is located on the left arm of chromosome IV, 27 cM from the centromere. Using conventional meiotic and mitotic mapping combined with recombinant DNA techniques, we have mapped three other SIR genes. SIR1 maps near the telomere of the right arm of chromosome XI; SIR3 (MAR2) maps to the right arm of chr

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Foulley, J. L. "Prediction of selection response for threshold dichotomous traits." Genetics 132, no. 4 (1992): 1187–94. http://dx.doi.org/10.1093/genetics/132.4.1187.

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Abstract This paper presents a formula to predict expected response to one generation of truncation selection for a dichotomous trait under polygenic additive inheritance. The derivation relies on the threshold liability concept and on the normality assumption of the joint distribution of additive genetic values and their predictors used as selection criteria. This formula accounts for asymmetry of response when both the prevalence of the trait and the selection rate differ from 1/2 via a bivariate normal integral term. The relationship with the classical formula R = iota rho sigma G is explai

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