Ponsart C.,UNCEIA Research and Development |
Le Bourhis D.,UNCEIA Research and Development |
Knijn H.,Crv Inc. |
Fritz S.,French National Institute for Agricultural Research |
And 7 more authors.
Reproduction, Fertility and Development | Year: 2014
Genomic tools are now available for most livestock species and are used routinely for genomic selection (GS) in cattle. One of the most important developments resulting from the introduction of genomic testing for dairy cattle is the application of reasonably priced low-density single nucleotide polymorphism technology in the selection of females. In this context, combining genome testing and reproductive biotechnologies in young heifers enables new strategies to generate replacement and elite females in a given period of time. Moreover, multiple markers have been detected in biopsies of preimplantation stage embryos, thus paving the way to develop new strategies based on preimplantation diagnosis and the genetic screening of embryos. Based on recent advances in GS, the present review focuses on new possibilities inherent in reproductive technologies used for commercial purposes and in genetic schemes, possible side effects and beneficial impacts on reproductive efficiency. A particular focus is on the different steps allowing embryo genotyping, including embryo micromanipulation, DNA production and quality assessment. © IETS 2014. Source
Capitan A.,UNCEIA Union Nationale des Cooperatives dElevage et dInsemination Animale |
Capitan A.,French National Institute for Agricultural Research |
Michot P.,UNCEIA Union Nationale des Cooperatives dElevage et dInsemination Animale |
Michot P.,French National Institute for Agricultural Research |
And 15 more authors.
Reproduction, Fertility and Development | Year: 2015
Fertility is a major concern in the dairy cattle industry and has been the subject of numerous studies over the past 20 years. Surprisingly, most of these studies focused on rough female phenotypes and, despite their important role in reproductive success, male- and embryo-related traits have been poorly investigated. In recent years, the rapid and important evolution of technologies in genetic research has led to the development of genomic selection. The generalisation of this method in combination with the achievements of the AI industry have led to the constitution of large databases of genotyping and sequencing data, as well as refined phenotypes and pedigree records. These resources offer unprecedented opportunities in terms of fundamental and applied research. Here we present five such examples with a focus on reproduction-related traits: (1) detection of quantitative trait loci (QTL) for male fertility and semen quality traits; (2) detection of QTL for refined phenotypes associated with female fertility; (3) identification of recessive embryonic lethal mutations by depletion of homozygous haplotypes; (4) identification of recessive embryonic lethal mutations by mining whole-genome sequencing data; and (5) the contribution of high-density single nucleotide polymorphism chips, whole-genome sequencing and imputation to increasing the power of QTL detection methods and to the identification of causal variants. © IETS 2015. Source
Clement P.,University of Nantes |
Clement P.,French National Institute for Agricultural Research |
Guatteo R.,University of Nantes |
Guatteo R.,French National Institute for Agricultural Research |
And 6 more authors.
Journal of Dairy Science | Year: 2014
The objective of the current study was to quantify the change in the prediction of dry matter intake (DMI) resulting from the inclusion of rumination time (RT) in the 2001 National Research Council (NRC) DMI prediction model. Forty-one Holstein cows fed the same total mixed ration were involved in a 10-wk study. Individual DMI were measured daily. The accuracy and precision of the original NRC prediction model, based on body weight, fat-corrected milk, and week of lactation as independent variables, was compared with the accuracy and precision of the same model with RT as an additional independent variable. The RT estimate was significant in the model developed but had a low value (0.031kg/h). Root mean square prediction errors were very similar in the 2 models (1.70 and 1.68kg/d) as were the other indicators (R2, linear bias, random error, and concordance correlation coefficient) selected to compare the models in this study. These results indicate no gain in DMI prediction precision or accuracy when RT is included in the NRC model. © 2014 American Dairy Science Association. Source
Evolution | Date: 2015-02-19
Sperm containing the following animal species, namely, bovine, ovine, porcine, equine, caprine, lapine. Software integrated in reproduction equipment of the following animals, namely, bovine, ovine, porcine, equine, caprine, lapine; software for monitoring the health of the following animals, namely, bovine, ovine, porcine, equine, caprine, lapine. Apparatus and instruments for use in bovine, ovine, porcine, equine, caprine, lapine animal reproduction , namely, containers, bags, medical vials and straws for animal semen; gloves, syringes, insemination guns, probes, injectors, injection devices and pumps for the injection of semen into animals or for embryo transplantation; Apparatus and instruments for monitoring the health of bovine, ovine, porcine, equine, caprine, lapine animals, namely, patch sensors, collar sensors, tail attachment sensors, earring sensors, diagnostic ultrasound apparatus, meters for measuring body fluids, detectors for medical applications, veterinary obstetric apparatus; aids, and gynecological medical instruments. Bovine embryos; Ovine embryos; Porcine embryos; Equine embryos; Caprine embryos; Embryos of live rabbits. Retail and wholesale distributorship, retail store, and mail order services featuring genetic products, namely, bovine, ovine, porcine, equine, caprine and lapine sperm for artificial insemination, and in particular for in vitro fertilization; retail and wholesale distributorship, retail store, and mail order services featuring genetic products, namely, bovine, ovine, porcine, equine, caprine and lapine embryos; marketing of elite live animals, namely, retail and wholesale distributorship, retail store, and mail order services featuring elite live animals; retail and wholesale distributorship, retail store, and mail order services featuring software embedded in animal reproduction equipment; retail and wholesale distributorship, retail store, and mail order services featuring the sale of apparatus and instruments for the reproduction of animals such as cattle, sheep, pigs, horses, goats and rabbits. Research services in genetics, in particular in the field of artificial insemination of the following animal species, namely, bovine, ovine, porcine, equine, caprine and lapine. Animal breeding, namely, bovine, ovine, porcine, equine, caprine and lapine; artificial insemination and embryo transplantation.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: EeB-07-2015 | Award Amount: 7.91M | Year: 2015
Measurement campaigns have shown major discrepancies in buildings energy performance between planned energy demand and real energy consumption, while nowadays most of the newly constructed offices buildings are equipped with BMS systems, integrating a more or less extended measurement layer providing large amounts of data. Their integration in the building management sector offers an improvement capability of 22 % as some studies demonstrate. The HIT2GAP project will develop a new generation of building monitoring and control tools based on advanced data treatment techniques allowing new approaches to assess building energy performance data, getting a better understanding of buildings behaviour and hence a better performance. From a strong research layer on data, HIT2GAP will build on existing measurement and control tools that will be embedded into a new software platform for performance optimization. The solution will be: - Fully modular: able to integrate several types and generations of data treatment modules (different algorithms) and data display solutions, following a plug and play approach - Integrating data mining for knowledge discovery (DMKD) as a core technique for buildings behaviour assessment and understanding The HIT2GAP solution will be applied as a novel intelligent layer offering new capability of the existing BMS systems and offering the management stakeholders opportunities for services with a novel added value. Applying the solutions to groups of buildings will also allow to test energy demand vs. local production management modules. This will be tested in various pilot sites across Europe. HIT2GAP work will be realized with a permanent concern about market exploitation of the solutions developed within the project, with specific partnerships about business integration of the tools in the activity of key energy services partners of the consortium.