93 research outputs found

    Introgression of favourable alleles into livestock populations

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    UAS Literary & Arts Journal

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    Proof copy provided by Tidal Echoes.Featuring the work of students, faculty, and staff of the University of Alaska Southeast and members of the community.A Note from Emily Wall -- Editor’s Note -- Mask -- Image of Nora, Rendering Seal Oil -- Based of course on hearsay -- Bowl with Spoon -- Gathering Indigo -- Shed -- Decay -- At the Core -- After Summer Time -- Sitka Fishing Boat -- Pericles at the Beach -- Funny Face Fido (detail) -- The Answer Dog -- Direction of the Wind -- Eagle -- An Interview with Nathan Jackson -- Water Becoming Land -- An Interview with John Straley -- Halibut Point View -- Night Monsters -- Sea Lion -- Trophy -- Humpback Flukes -- Homecoming -- Spinning Tires -- Hiking the Salt Chuck Trail -- Sitka Rose -- Columbine -- Chocolate Lily -- Bleeding Hearts -- Salmon Egg Puller—$2.15 an hour -- Granddaughters Dancing -- Sitka Sentinel -- Kootznoowoo -- Ode to Wildlife -- Dinner Party -- Floating Islands (detail) -- To My Departed Kishka -- Wisteria -- Untitled -- Fairweather Laundry -- Struggling with My Language -- “Culture” in the Juneau Museum -- Thane -- Juneau Goldbelt & 9th -- Pink Blue Leaves -- Slow Fall -- Tango -- Pacific Coast Mask with Copper Luster -- Against Confessional -- Sunday Afternoon 3:30 to 3:31 -- Downtown -- Tony, Six Flags Great Adventure, Jackson, New Jersey -- Land and Water Series -- On the Day They Buried Gus Hall -- Solju Sapnu -- Nattie -- The First Half of the Last Century -- A Church Remains -- Mexican Wall -- Eagle Reflections -- The Saving Son -- Axh Leelk’w -- Sinister Place -- Blue Halibuts -- Fishing Again -- The Masai -- Wanting to Know Water -- For Women Like Me -- Mountain Bleu -- Untitled -- Single Word Title -- Charms (detail) -- e.e isn’t Cummings back -- Mocha Gal -- Poppies -- Ideal Woman Blues -- Near the End -- Poet at Work -- Stills -- Serenity -- Lupine Bugs -- Spring Fiddleheads -- What a Piece of Work! -- Biographie

    MARGINAL ABATEMENT COST CURVES FOR UK AGRICULTURAL GREENHOUSE GAS EMISSIONS

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    This paper addresses the challenge of developing a ‘bottom-up’ marginal abatement cost curve (MACC) for greenhouse gas emissions from UK agriculture. A MACC illustrates the costs of specific crop, soil, and livestock abatement measures against a ‘‘business as usual’’ scenario. The results indicate that in 2022 under a specific policy scenario, around 5.38 MtCO2 equivalent (e) could be abated at negative or zero cost. A further 17% of agricultural GHG emissions (7.85 MtCO2e) could be abated at a lower unit cost than the UK Government’s 2022 shadow price of carbon (£34 (tCO2e)-1). The paper discusses a range of methodological hurdles that complicate cost-effectiveness appraisal of abatement in agriculture relative to other sectors.Climate change, Marginal abatement costs, Agriculture, Environmental Economics and Policy, Resource /Energy Economics and Policy, Q52, Q 54, Q58,

    Marginal abatement cost curves for UK agriculture, forestry, land-use and land-use change sector out to 2022

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    Greenhouse gas emissions from agriculture, land use, land use change and forestry (ALULUCF) are a significant percentage of UK industrial emissions. The UK Government is committed to ambitious targets for reducing emissions and all significant industrial sources are coming under increasing scrutiny. The task of allocating shares of future reductions falls to the newly appointed Committee on Climate Change (CCC), which needs to consider efficient mitigation potential across a range of sectors. Marginal abatement cost curves are derived for a range of mitigation measures in the agriculture and forestry sectors over a range of adoption scenarios and for the years 2012, 2017 and 2022. The results indicate that in 2022 around 6.36 MtCO2e could be abated at negative or zero cost. Further, in same year over 17% of agricultural GHG emissions (7.85MtCO2e) could be abated at a cost of less than the 2022 Shadow Price of Carbon (ÂŁ34tCO2e).Environmental Economics and Policy,

    Short communication: Heritability of methane production and genetic correlations with milk yield and body weight in Holstein-Friesian dairy cows

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    Greenhouse gases originating from the dairy sector, including methane (CH 4), contribute to global warming. A possible strategy to reduce CH 4 production is to use genetic selection. This requires genetic parameters for CH 4 production and correlations with production traits. Data were available on 184 Holstein-Friesian cows. Methane production was measured in the milking robot during milking from December 2009 to April 2010. In total 2,456 observations for CH 4 production were available. Milk yield (MY) and body weight (BW) were obtained at every milking from November 2008 to October 2010. In total 4,567 observations for milk yield and 4,570 observations for BW were available. Restricted maximum likelihood, using random regression models, was used to analyze the data. Heritability (standard error given in parentheses) for CH 4 production ranged from 0.12 (0.16) to 0.45 (0.11), and genetic correlations with MY ranged from 0.49 (0.12) to 0.54 (0.26). The positive genetic correlation between CH 4 production and milk yield indicates that care needs to be taken when genetically selecting for lower CH 4 production, to avoid a decrease in MY at the animal level. However, this study shows that CH 4 production is moderately heritable and therefore progress through genetic selection is possible

    Correlations of milk and serum element concentrations with production and management traits in dairy cows

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    ACKNOWLEDGMENTS This research, including the Langhill experiment at Crichton Dairy Research Centre, and all authors were funded by the Scottish Government Rural Affairs, Food, and the Environment Strategic Research Portfolio 2016–2021. Samples collected before 2016 were collected as part of a Biotechnology and Biological Sciences Research Council project awarded to EW (grant no. BB/K002260/1) and TNM (grant no. BB/K002171/1). The authors gratefully acknowledge the high standard of work by all staff at Crichton Farm (Scotland's Rural College, Dumfries, Scotland) in the collection of samples and management of animals, and Ian Archibald (Scotland's Rural College, Edinburgh, Scotland) for managing the Langhill database and assisting with data extraction. The authors have not stated any conflicts of interest.Peer reviewedPublisher PD

    Empirical and dynamic approaches for modelling the yield and N content of European grasslands

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    This work was supported by the Horizon 2020 SFS-01c-2015 project entitled “Innovation of sustainable sheep and goat production in Europe (iSAGE)” [grant number 679302]; and the Rural & Environment Science & Analytical Services Division of the Scottish Government. BC3 is supported by the Basque Government through the BERC 2018–2021 program and by Spanish Ministry of Economy and Competitiveness MINECO through BC3 MarĂ­a de Maeztu excellence accreditation MDM-2017-0714. Agustin del Prado is supported by the Ramon y Cajal Programme. We would like to thank all the people who provided the data which made this work possible. In particular, Professor Wolfgang Schmidt, for data from the Experimental Botanical Garden of Göttingen University. Also the Lawes Agricultural Trust and Rothamsted Research for data from the e-RA database. The Rothamsted Long-term Experiments National Capability (LTE-NCG) is supported by the UK Biotechnology and Biological Sciences Research Council and the Lawes Agricultural Trust.Peer reviewedPublisher PD

    Heterosis in cattle crossbreeding schemes in tropical regions: Meta-analysis of effects of breed combination, trait type and climate on level of heterosis

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    Jolivet Simon. David Marrani, «The Intersection between Constitution, Human Rights and the Environment : The French Charter for the environment and the new ex post constitutional control in France », Environmental Law Review 16 (2014), p. 107-121. In: Revue Juridique de l'Environnement, n°3, 2015. pp. 583-584

    Phenotypic and genetic analysis of milk and serum element concentrations in dairy cows

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    This research, including the Langhill experiment at Crichton Dairy Research Centre and all authors, was funded by the Scottish Government Rural Affairs, Food and the Environment (RAFE) Strategic Research Portfolio 2016-2021. Samples collected pre-2016 were collected as part of a BBSRC project awarded to EW (grant no. BB/K002260/1) and TNM (BB/K002171/1). The authors gratefully acknowledge the high standard of work by all staff at Crichton farm (SRUC, Dumfries, Scotland) in the collection of samples and management of animals, and Ian Archibald (SRUC, Edinburgh, Scotland) for managing the Langhill database and assisting with data extraction.Peer reviewedPublisher PD

    The Alliance for Cellular Signaling Plasmid Collection: A Flexible Resource for Protein Localization Studies and Signaling Pathway Analysis

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    Cellular responses to inputs that vary both temporally and spatially are determined by complex relationships between the components of cell signaling networks. Analysis of these relationships requires access to a wide range of experimental reagents and techniques, including the ability to express the protein components of the model cells in a variety of contexts. As part of the Alliance for Cellular Signaling, we developed a robust method for cloning large numbers of signaling ORFs into GatewayÂź entry vectors, and we created a wide range of compatible expression platforms for proteomics applications. To date, we have generated over 3000 plasmids that are available to the scientific community via the American Type Culture Collection. We have established a website at www.signaling-gateway.org/data/plasmid/ that allows users to browse, search, and blast Alliance for Cellular Signaling plasmids. The collection primarily contains murine signaling ORFs with an emphasis on kinases and G protein signaling genes. Here we describe the cloning, databasing, and application of this proteomics resource for large scale subcellular localization screens in mammalian cell lines
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