Skip to main content

Articles

Page 16 of 71

  1. Knowledge of the genetic structure and overall diversity of livestock species is important to maximise the potential of genome-wide association studies and genomic prediction. Commonly used measures such as li...

    Authors: Hawlader Abdullah Al-Mamun, Samuel A Clark, Paul Kwan and Cedric Gondro
    Citation: Genetics Selection Evolution 2015 47:90
  2. In pedigreed populations with a major gene segregating for a quantitative trait, it is not clear how to use pedigree, genotype and phenotype information when some individuals are not genotyped. We propose to c...

    Authors: Andrés Legarra and Zulma G. Vitezica
    Citation: Genetics Selection Evolution 2015 47:89
  3. Poultry account for the most numerous species farmed for meat and have been subject to intense selection over approximately 60 generations. To assess morphological changes which have occurred in the avian leg ...

    Authors: Brendan M. Duggan, Paul M. Hocking, Tobias Schwarz and Dylan N. Clements
    Citation: Genetics Selection Evolution 2015 47:88
  4. Recently, many genome-wide association studies (GWAS) have been conducted to understand the genetic architecture of economic important traits in farm animals. Pig is widely used as a biomedical animal model fo...

    Authors: Yuna He, Xinjian Li, Feng Zhang, Ying Su, Lijuan Hou, Hao Chen, Zhiyan Zhang and Lusheng Huang
    Citation: Genetics Selection Evolution 2015 47:87
  5. Portugal and Spain, with six and 22 officially recognized caprine breeds, encompass 25 % of the European Union goat census. Many of these populations have suffered strong demographic declines because of compet...

    Authors: Amparo M. Martínez, Luis T. Gama, Juan V. Delgado, Javier Cañón, Marcel Amills, Carolina Bruno de Sousa, Catarina Ginja, Pilar Zaragoza, Arianna Manunza, Vincenzo Landi and Natalia Sevane
    Citation: Genetics Selection Evolution 2015 47:86
  6. Genetic selection of livestock against infectious diseases can complement existing interventions to control infectious diseases. Most genetic approaches that aim at reducing disease prevalence assume that indi...

    Authors: Mahlet T. Anche, P. Bijma and Mart C. M. De Jong
    Citation: Genetics Selection Evolution 2015 47:85
  7. The success of genomic selection in animal breeding hinges on the availability of a large reference population on which genomic-based predictions of additive genetic or breeding values are built. Here, we expl...

    Authors: Laercio R. Porto-Neto, William Barendse, John M. Henshall, Sean M. McWilliam, Sigrid A. Lehnert and Antonio Reverter
    Citation: Genetics Selection Evolution 2015 47:84
  8. The genetic architecture of egg production and egg quality traits, i.e. the quantitative trait loci (QTL) that influence these traits, is still poorly known. To date, 33 studies have focused on the detection o...

    Authors: Hélène Romé, Amandine Varenne, Frédéric Hérault, Hervé Chapuis, Christophe Alleno, Patrice Dehais, Alain Vignal, Thierry Burlot and Pascale Le Roy
    Citation: Genetics Selection Evolution 2015 47:83
  9. Feed contributes to over 60 % of the total production costs in the poultry industry. Increasing feed costs prompt geneticists to include feed intake and efficiency as selection goals in breeding programs. In t...

    Authors: Jingwei Yuan, Kehua Wang, Guoqiang Yi, Meng Ma, Taocun Dou, Congjiao Sun, Lu-Jiang Qu, Manman Shen, Liang Qu and Ning Yang
    Citation: Genetics Selection Evolution 2015 47:82
  10. The increasing availability of DNA markers provides new metrics of inbreeding based on single nucleotide polymorphisms (SNPs), i.e. molecular inbreeding or the proportion of runs of homozygosity (ROH), as alte...

    Authors: Luis Gomez-Raya, Carmen Rodríguez, Carmen Barragán and Luis Silió
    Citation: Genetics Selection Evolution 2015 47:81
  11. In whole-genome analyses, the number p of marker covariates is often much larger than the number n of observations. Bayesian multiple regression models are widely used in genomic selection to address this proble...

    Authors: Hao Cheng, Long Qu, Dorian J. Garrick and Rohan L. Fernando
    Citation: Genetics Selection Evolution 2015 47:80
  12. In dairy cattle, current genomic predictions are largely based on sire models that analyze daughter yield deviations of bulls, which are derived from pedigree-based animal model evaluations (in a two-step appr...

    Authors: Theo H. E. Meuwissen, Morten Svendsen, Trygve Solberg and Jørgen Ødegård
    Citation: Genetics Selection Evolution 2015 47:79
  13. Genetic relatedness is currently estimated by a combination of traditional pedigree-based approaches (i.e. numerator relationship matrices, NRM) and, given the recent availability of molecular information, usi...

    Authors: Nicholas J. Hudson, Laercio Porto-Neto, James W. Kijas and Antonio Reverter
    Citation: Genetics Selection Evolution 2015 47:78
  14. Feather pecking (FP) in laying hens is a well-known and multi-factorial behaviour with a genetic background. In a selection experiment, two lines were developed for 11 generations for high (HFP) and low (LFP) ...

    Authors: Vanessa Grams, Robin Wellmann, Siegfried Preuß, Michael A. Grashorn, Jörgen B. Kjaer, Werner Bessei and Jörn Bennewitz
    Citation: Genetics Selection Evolution 2015 47:77
  15. Breeding goals in a crossbreeding system should be defined at the commercial crossbred level. However, selection is often performed to improve purebred performance. A genomic selection (GS) model that includes...

    Authors: Hadi Esfandyari, Anders Christian Sørensen and Piter Bijma
    Citation: Genetics Selection Evolution 2015 47:76
  16. Minimizing bird losses is important in the commercial layer industry. Selection against mortality is challenging because heritability is low, censoring is high, and individual survival depends on social intera...

    Authors: Tessa Brinker, Esther D. Ellen, Roel F. Veerkamp and Piter Bijma
    Citation: Genetics Selection Evolution 2015 47:75
  17. Improving feed efficiency is a major goal in poultry production in order to reduce production costs, increase the possibility of using alternative feedstuffs and decrease the volume of manure. However, in spit...

    Authors: Sandrine Mignon-Grasteau, Nicole Rideau, Irène Gabriel, Céline Chantry-Darmon, Marie-Yvonne Boscher, Nadine Sellier, Marie Chabault, Elisabeth Le Bihan-Duval and Agnès Narcy
    Citation: Genetics Selection Evolution 2015 47:74
  18. The Genetics Selection Evolution editorial team would sincerely like to thank all of our reviewers who contributed to peer review for the journal in 2014.

    Authors: Didier Boichard, Jack Dekkers, Helene Hayes and Julius van der Werf
    Citation: Genetics Selection Evolution 2015 47:73
  19. Authors: Raphael B. Costa, Gregório MF Camargo, Iara DPS Diaz, Natalia Irano, Marina M. Dias, Roberto Carvalheiro, Arione A. Boligon, Fernando Baldi, Henrique N. Oliveira, Humberto Tonhati and Lucia G. Albuquerque
    Citation: Genetics Selection Evolution 2015 47:72

    The original article was published in Genetics Selection Evolution 2015 47:67

  20. In contrast to currently used single nucleotide polymorphism (SNP) panels, the use of whole-genome sequence data is expected to enable the direct estimation of the effects of causal mutations on a given trait....

    Authors: Rianne van Binsbergen, Mario P. L. Calus, Marco C. A. M. Bink, Fred A. van Eeuwijk, Chris Schrooten and Roel F. Veerkamp
    Citation: Genetics Selection Evolution 2015 47:71
  21. Female reproductive technologies such as multiple ovulation and embryo transfer (MOET) and juvenile in vitro embryo production and embryo transfer (JIVET) can boost rates of genetic gain but they can also incr...

    Authors: Tom Granleese, Samuel A. Clark, Andrew A. Swan and Julius H. J. van der Werf
    Citation: Genetics Selection Evolution 2015 47:70
  22. European sea bass (Dicentrarchus labrax) is one of the most important farmed species in Mediterranean aquaculture. The observed sexual growth and maturity dimorphism in favour of females adds value towards deciph...

    Authors: Christos Palaiokostas, Michaël Bekaert, John B. Taggart, Karim Gharbi, Brendan J. McAndrew, Béatrice Chatain, David J. Penman and Marc Vandeputte
    Citation: Genetics Selection Evolution 2015 47:68
  23. An important goal of Zebu breeding programs is to improve reproductive performance. A major problem faced with the genetic improvement of reproductive traits is that recording the time for an animal to reach s...

    Authors: Raphael B. Costa, Gregório MF Camargo, Iara DPS Diaz, Natalia Irano, Marina M. Dias, Roberto Carvalheiro, Arione A. Boligon, Fernando Baldi, Henrique N. Oliveira, Humberto Tonhati and Lucia G. Albuquerque
    Citation: Genetics Selection Evolution 2015 47:67

    The Erratum to this article has been published in Genetics Selection Evolution 2015 47:72

  24. Body weight (BW) is an important trait for meat production in sheep. Although over the past few years, numerous quantitative trait loci (QTL) have been detected for production traits in cattle, few QTL studies...

    Authors: Hawlader A. Al-Mamun, Paul Kwan, Samuel A. Clark, Mohammad H. Ferdosi, Ross Tellam and Cedric Gondro
    Citation: Genetics Selection Evolution 2015 47:66
  25. Merino and Merino-derived sheep breeds have been widely distributed across the world, both as purebred and admixed populations. They represent an economically and historically important genetic resource which ...

    Authors: Elena Ciani, Emiliano Lasagna, Mariasilvia D’Andrea, Ingrid Alloggio, Fabio Marroni, Simone Ceccobelli, Juan V. Delgado Bermejo, Francesca M. Sarti, James Kijas, Johannes A. Lenstra and Fabio Pilla
    Citation: Genetics Selection Evolution 2015 47:64
  26. Mixed models are commonly used for the estimation of variance components and genetic evaluation of livestock populations. Some evaluation models include two types of additive genetic effects, direct and matern...

    Authors: Luis Varona, Sebastián Munilla, Joaquim Casellas, Carlos Moreno and Juan Altarriba
    Citation: Genetics Selection Evolution 2015 47:63
  27. Among the European countries, Italy counts the largest number of local goat breeds. Thanks to the recent availability of a medium-density SNP (single nucleotide polymorphism) chip for goat, the genetic diversi...

    Authors: Letizia Nicoloso, Lorenzo Bomba, Licia Colli, Riccardo Negrini, Marco Milanesi, Raffaele Mazza, Tiziana Sechi, Stefano Frattini, Andrea Talenti, Beatrice Coizet, Stefania Chessa, Donata Marletta, Mariasilvia D’Andrea, Salvatore Bordonaro, Grazyna Ptak, Antonello Carta…
    Citation: Genetics Selection Evolution 2015 47:62
  28. We have used a linear mixed model (LMM) approach to examine the joint contribution of genetic markers associated with a biological pathway. However, with these markers being scattered throughout the genome, we...

    Authors: Stefan M. Edwards, Bo Thomsen, Per Madsen and Peter Sørensen
    Citation: Genetics Selection Evolution 2015 47:60
  29. Genomic selection (GS) using estimated breeding values (GS-EBV) based on dense marker data is a promising approach for genetic improvement. A simulation study was undertaken to illustrate the opportunities off...

    Authors: Anna Wolc, Honghua H. Zhao, Jesus Arango, Petek Settar, Janet E. Fulton, Neil P. O’Sullivan, Rudolf Preisinger, Chris Stricker, David Habier, Rohan L. Fernando, Dorian J. Garrick, Susan J. Lamont and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2015 47:59
  30. Mitochondrial DNA (mtDNA) is frequently used in population genetic studies and is usually considered as a neutral marker. However, given the functional importance of the proteins encoded by the mitochondrial g...

    Authors: Sofia Consuegra, Elgan John, Eric Verspoor and Carlos Garcia de Leaniz
    Citation: Genetics Selection Evolution 2015 47:58
  31. Adjustment of body weights for systematic environmental effects such as dam age and litter size is essential for accurate prediction of breeding values in meat sheep and often accomplished by pre-adjusting rec...

    Authors: David R. Notter and Daniel J. Brown
    Citation: Genetics Selection Evolution 2015 47:57
  32. As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For pop...

    Authors: Daniela A. L. Lourenco, Breno O. Fragomeni, Shogo Tsuruta, Ignacio Aguilar, Birgit Zumbach, Rachel J. Hawken, Andres Legarra and Ignacy Misztal
    Citation: Genetics Selection Evolution 2015 47:56
  33. Genome editing (GE) is a method that enables specific nucleotides in the genome of an individual to be changed. To date, use of GE in livestock has focussed on simple traits that are controlled by a few quanti...

    Authors: Janez Jenko, Gregor Gorjanc, Matthew A Cleveland, Rajeev K Varshney, C. Bruce A Whitelaw, John A Woolliams and John M Hickey
    Citation: Genetics Selection Evolution 2015 47:55

    The Erratum to this article has been published in Genetics Selection Evolution 2015 47:69

  34. Genotype imputation is commonly used as an initial step in genomic selection since the accuracy of genomic selection does not decline if accurately imputed genotypes are used instead of actual genotypes but fo...

    Authors: Tao Xiang, Peipei Ma, Tage Ostersen, Andres Legarra and Ole F Christensen
    Citation: Genetics Selection Evolution 2015 47:54
  35. Genomic selection and estimation of genomic breeding values (GBV) are widely used in cattle and plant breeding. Several studies have attempted to detect population subdivision by investigating the structure of...

    Authors: Laura Plieschke, Christian Edel, Eduardo CG Pimentel, Reiner Emmerling, Jörn Bennewitz and Kay-Uwe Götz
    Citation: Genetics Selection Evolution 2015 47:53
  36. Domestication and selection are processes that alter the pattern of within- and between-population genetic variability. They can be investigated at the genomic level by tracing the so-called selection signatur...

    Authors: Silvia Sorbolini, Gabriele Marras, Giustino Gaspa, Corrado Dimauro, Massimo Cellesi, Alessio Valentini and Nicolò PP Macciotta
    Citation: Genetics Selection Evolution 2015 47:52
  37. Faecal egg counts are a common indicator of nematode infection and since it is a heritable trait, it provides a marker for selective breeding. However, since resistance to disease changes as the adaptive immun...

    Authors: Colette Mair, Michael Stear, Paul Johnson, Matthew Denwood, Joaquin Prada Jimenez de Cisneros, Thorsten Stefan and Louise Matthews
    Citation: Genetics Selection Evolution 2015 47:51
  38. The sensitivity of genome-wide association studies for the detection of quantitative trait loci (QTL) depends on the density of markers examined and the statistical models used. This study compares the perform...

    Authors: Xiaoping Wu, Mogens S Lund, Goutam Sahana, Bernt Guldbrandtsen, Dongxiao Sun, Qin Zhang and Guosheng Su
    Citation: Genetics Selection Evolution 2015 47:50
  39. Artificial selection for economically important traits in cattle is expected to have left distinctive selection signatures on the genome. Access to high-density genotypes facilitates the accurate identificatio...

    Authors: Fuping Zhao, Sinead McParland, Francis Kearney, Lixin Du and Donagh P Berry
    Citation: Genetics Selection Evolution 2015 47:49
  40. From domestication to the current pattern of differentiation, domestic species have been influenced by reticulate evolution with multiple events of migration, introgression, and isolation; this has resulted in...

    Authors: Grégoire Leroy, Coralie Danchin-Burge, Isabelle Palhière, Magali SanCristobal, Yann Nédélec, Etienne Verrier and Xavier Rognon
    Citation: Genetics Selection Evolution 2015 47:48
  41. Calving difficulty and perinatal mortality are prevalent in modern-day cattle production systems. It is well-established that there is a genetic component to both traits, yet little is known about their underl...

    Authors: Deirdre C Purfield, Daniel G Bradley, Ross D Evans, Francis J Kearney and Donagh P Berry
    Citation: Genetics Selection Evolution 2015 47:47
  42. When rainbow trout from a single breeding program are introduced into various production environments, genotype-by-environment (GxE) interaction may occur. Although growth and its uniformity are two of the mos...

    Authors: Panya Sae-Lim, Antti Kause, Matti Janhunen, Harri Vehviläinen, Heikki Koskinen, Bjarne Gjerde, Marie Lillehammer and Han A Mulder
    Citation: Genetics Selection Evolution 2015 47:46
  43. Recently, selection for milk technological traits was initiated in the Italian dairy cattle industry based on direct measures of milk coagulation properties (MCP) such as rennet coagulation time (RCT) and curd...

    Authors: Francesco Tiezzi, Bruno D Valente, Martino Cassandro and Christian Maltecca
    Citation: Genetics Selection Evolution 2015 47:45
  44. Understanding the genetic mechanisms that underlie meat quality traits is essential to improve pork quality. To date, most quantitative trait loci (QTL) analyses have been performed on F2 crosses between outbred ...

    Authors: Xianxian Liu, Xinwei Xiong, Jie Yang, Lisheng Zhou, Bin Yang, Huashui Ai, Huanban Ma, Xianhua Xie, Yixuan Huang, Shaoming Fang, Shijun Xiao, Jun Ren, Junwu Ma and Lusheng Huang
    Citation: Genetics Selection Evolution 2015 47:44
  45. Genetic selection has been successful in achieving increased production in dairy cattle; however, corresponding declines in fitness traits have been documented. Selection for fitness traits is more difficult, ...

    Authors: Kristen L Parker Gaddis, Francesco Tiezzi, John B Cole, John S Clay and Christian Maltecca
    Citation: Genetics Selection Evolution 2015 47:41

Can't find what you're looking for?

When searching for content, we recommend using specific search terms with Boolean Operators like AND, OR, NOT, and with multi-word phrases in â€œ" or *. For instance:

  • Refine your search by author by entering into the search bar:      author#"consortium"
  • Refine your search by title by entering into the search bar:      title#"monogenic traits"