23 results on '"George, Mike"'
Search Results
2. Effects of tillage, compaction and nitrogen inputs on crop production and nitrogen losses following simulated forage crop grazing
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Hu, Wei, Beare, Mike, Tregurtha, Craig, Gillespie, Richard, Lehto, Kathryn, Tregurtha, Rebekah, Gosden, Peg, Glasson, Sarah, Dellow, Steven, George, Mike, Tabley, Frank, Qiu, Weiwen, and Baird, David
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- 2020
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3. Graphene-like MoS2 containing adsorbents for Hg0 capture at coal-fired power plants
- Author
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Zhao, Haitao, Mu, Xueliang, Yang, Gang, George, Mike, Cao, Pengfei, Fanady, Billy, Rong, Siyu, Gao, Xiang, and Wu, Tao
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- 2017
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4. The GL service: Web service to exchange GL string encoded HLA & KIR genotypes with complete and accurate allele and genotype ambiguity
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Milius, Robert P., Heuer, Michael, George, Mike, Pollack, Jane, Hollenbach, Jill A., Mack, Steven J., and Maiers, Martin
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- 2016
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5. Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment
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Dueri, Sibylle, Brown, Hamish, Asseng, Senthold, Ewert, Frank, Webber, Heidi, George, Mike, Craigie, Rob, Guarin, Jose Rafael, Pequeno, Diego N.L., Stella, Tommaso, Ahmed, Mukhtar, Alderman, Phillip D., Basso, Bruno, Berger, Andres G., Mujica, Gennady Bracho, Cammarano, Davide, Chen, Yi, Dumont, Benjamin, Rezaei, Ehsan Eyshi, Fereres, Elias, Ferrise, Roberto, Gaiser, Thomas, Gao, Yujing, Garcia-Vila, Margarita, Gayler, Sebastian, Hochman, Zvi, Hoogenboom, Gerrit, Kersebaum, Kurt C., Nendel, Claas, Olesen, Jørgen E., Padovan, Gloria, Palosuo, Taru, Priesack, Eckart, Pullens, Johannes W.M., Rodríguez, Alfredo, Rötter, Reimund P., Ramos, Margarita Ruiz, Semenov, Mikhail A., Senapati, Nimai, Siebert, Stefan, Srivastava, Amit Kumar, Stöckle, Claudio, Supit, Iwan, Tao, Fulu, Thorburn, Peter, Wang, Enli, Weber, Tobias Karl David, Xiao, Liujun, Zhao, Chuang, Zhao, Jin, Zhao, Zhigan, Zhu, Yan, Martre, Pierre, Rebetzke, Greg, Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), The New Zealand Institute for Plant & Food Research Limited [Auckland] (Plant & Food Research), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Institut für Nutzpflanzenwissenschaften und Ressourcenschutz (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, Brandenburg University of Technology [Cottbus – Senftenberg] (BTU), Foundation for Arable Research (FAR), University of Florida [Gainesville] (UF), Earth Institute at Columbia University, Columbia University [New York], International Maize and Wheat Improvement Center (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Swedish University of Agricultural Sciences (SLU), Pir Mehr Ali Shah Arid Agriculture University = PMAS-Arid Agriculture University Rawalpindi (AAUR), Oklahoma State University [Stillwater] (OSU), Michigan State University [East Lansing], Michigan State University System, Instituto Nacional de Investigación Agropecuaria (INIA), Georg-August-University = Georg-August-Universität Göttingen, Aarhus University [Aarhus], Institute of geographical sciences and natural resources research [CAS] (IGSNRR), Chinese Academy of Sciences [Beijing] (CAS), Gembloux Agro-Bio Tech [Gembloux], Université de Liège, Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture (IAS CSIC), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Universidad de Córdoba = University of Córdoba [Córdoba], Department of Agriculture, Food, Environment and Forestry (DAGRI), Università degli Studi di Firenze = University of Florence (UniFI), Institute of Crop Science and Resource Conservation [Bonn] (INRES), University of Hohenheim, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Global Change Research Centre (CzechGlobe), University of Potsdam = Universität Potsdam, Natural Resources Institute Finland (LUKE), Helmholtz Zentrum München = German Research Center for Environmental Health, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Institute of Biochemical Plant Pathology (BIOP), Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales (CEIGRAM), Universidad Politécnica de Madrid (UPM), Universidad de Castilla-La Mancha = University of Castilla-La Mancha (UCLM), Centre for Biodiversity and Sustainable Land-use [University of Göttingen] (CBL), Rothamsted Research, Biotechnology and Biological Sciences Research Council (BBSRC), Washington State University (WSU), Wageningen University and Research [Wageningen] (WUR), Zhejiang University, Nanjing Agricultural University (NAU), China Agricultural University (CAU), Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 and was supported by the French National Research Institute for Agriculture, Food (INRAE) and the International Maize and Wheat Improvement Center (CIMMYT) through the International Wheat Yield Partnership (IWYP, grant IWYP115)., metaprogram Agriculture and forestry in the face of climate change: adaptation and mitigation (CLIMAE) of INRAE, grant-aided support from the Biotechnology and Biological Sciences Research Council (BBSRC) through Designing Future Wheat [BB/P016855/1] and Achieving Sustainable Agricultural Systems [NE/N018125/1] jointly funded with NERC, DivCSA project funded by the Academy of Finland (decision no. 316215)., National Natural Science Foundation of China (No. 31761143006), financial support from BARISTA project (031B0811A) through ERA-NET SusCrop under EU-FACCE JPI, German Federal Ministry of Education and Research (BMBF) through the BonaRes project ’’I4S’’ (031B0513I), German Federal Ministry of Education and Research (BMBF) through the BonaRes Project 'Soil3' (FKZ 031B0026A), Ministry of Education, Youth and Sports of Czech Republic through SustES—Adaption strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/000797), Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2070 – 390732324', German Research Foundation (DFG, Grant Agreement SFB 1253/1 2017), European Project: 618105,EC:FP7:KBBE,FP7-ERANET-2013-RTD,FACCE ERA NET PLUS(2013), Institut National de la Recherche Agronomique (France), International Maize and Wheat Improvement Center, International Wheat Yield Partnership, National Natural Science Foundation of China, European Commission, Federal Ministry of Education and Research (Germany), Ministry of Education, Youth and Sports (Czech Republic), German Research Foundation, Biotechnology and Biological Sciences Research Council (UK), Natural Environment Research Council (UK), and Academy of Finland
- Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences ,Physiology ,Climate Change ,sowing date ,Plant Science ,CHINA ,Multi-model Ensemble ,New Zealand ,Sowing Date ,Sowing Density ,Tiller Mortality ,Tillering ,Wheat ,Yield Potential ,tillering ,wheat ,USE EFFICIENCY ,sowing density ,Life Science ,Biomass ,ADAPTATION ,PLANT-DENSITY ,Triticum ,METAANALYSIS ,Multi-model ensemble ,WIMEK ,CLIMATE-CHANGE ,tiller mortality ,PRODUCTIVITY ,Temperature ,CROP MODELS ,yield potential ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,ROTATION ,GROWTH ,Water Systems and Global Change ,Seasons - Abstract
Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures., This study was a part of the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 and was supported by the French National Research Institute for Agriculture, Food (INRAE) and the International Maize and Wheat Improvement Center (CIMMYT) through the International Wheat Yield Partnership (IWYP, grant IWYP115). SD and PM acknowledge support from the metaprogram Agriculture and forestry in the face of climate change: adaptation and mitigation (CLIMAE) of INRAE. YC and FT acknowledge support from the National Natural Science Foundation of China (No. 31761143006). RPR and GBM acknowledge financial support from BARISTA project (031B0811A) through ERA-NET SusCrop under EU-FACCE JPI. KCK was funded by the German Federal Ministry of Education and Research (BMBF) through the BonaRes project ’’I4S’’ (031B0513I). AS and TG acknowledge funding by the German Federal Ministry of Education and Research (BMBF) through the BonaRes Project “Soil3” (FKZ 031B0026A). KCK and JEO were supported by the Ministry of Education, Youth and Sports of Czech Republic through SustES—Adaption strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/000797). FE acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2070 – 390732324”. TKDW was funded by the German Research Foundation (DFG, Grant Agreement SFB 1253/1 2017). MAS and NS at Rothamsted Research received grant-aided support from the Biotechnology and Biological Sciences Research Council (BBSRC) through Designing Future Wheat [BB/P016855/1] and Achieving Sustainable Agricultural Systems [NE/N018125/1] jointly funded with NERC. TP and FT are supported by the DivCSA project funded by the Academy of Finland (decision no. 316215).
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- 2022
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6. FIRST FIND IN "99"
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George, Mike
- Published
- 2000
7. Practical application of spiritual intelligence in the workplace
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George, Mike
- Published
- 2006
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8. How Mathematics Teaching Can Be Like Improv Theater
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George, Mike
- Abstract
When this author first began to take classes in theater and comedy improvisation, his motives were largely creative and social, though there was some supposition that his mathematics teaching (at a community college) could benefit as well. Students are known to tout their favorite teachers as "funny." Taking improv classes would presumably loosen him up a little and make him more confident about his stage presence, thereby helping to facilitate the occasional joke or witty aside that could make for moments of shared humor between the teacher and the class. Now, some years and many improv classes later, he has come to recognize that the art of improvising and the art of teaching share fundamental themes. In fact, he believes that they can be seen as crafts that share some fundamental rules. The "rules" involved in improv are somewhat less rigidly defined than those in mathematics, but they are rules, nevertheless, and one stands out above the others: the rule of affirmation. If an instructor wishes to develop an interactive rapport with the students, eliciting their participation and facilitating discussion, one should exhibit sensitivity to students' feelings and egos. By affirming some aspect of any student's input, one also pushes the mathematical "scene" forward, into possibly unexpected and rhetorically rich directions.
- Published
- 2012
9. THE GEORGE CACHE
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George, Mike
- Published
- 1997
10. Evaluation of User Interface and Workflow Design of a Bedside Nursing Clinical Decision Support System
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Yuan, Michael Juntao, Finley, George Mike, Long, Ju, Mills, Christy, and Johnson, Ron Kim
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Medical technology ,R855-855.5 - Abstract
BackgroundClinical decision support systems (CDSS) are important tools to improve health care outcomes and reduce preventable medical adverse events. However, the effectiveness and success of CDSS depend on their implementation context and usability in complex health care settings. As a result, usability design and validation, especially in real world clinical settings, are crucial aspects of successful CDSS implementations. ObjectiveOur objective was to develop a novel CDSS to help frontline nurses better manage critical symptom changes in hospitalized patients, hence reducing preventable failure to rescue cases. A robust user interface and implementation strategy that fit into existing workflows was key for the success of the CDSS. MethodsGuided by a formal usability evaluation framework, UFuRT (user, function, representation, and task analysis), we developed a high-level specification of the product that captures key usability requirements and is flexible to implement. We interviewed users of the proposed CDSS to identify requirements, listed functions, and operations the system must perform. We then designed visual and workflow representations of the product to perform the operations. The user interface and workflow design were evaluated via heuristic and end user performance evaluation. The heuristic evaluation was done after the first prototype, and its results were incorporated into the product before the end user evaluation was conducted. First, we recruited 4 evaluators with strong domain expertise to study the initial prototype. Heuristic violations were coded and rated for severity. Second, after development of the system, we assembled a panel of nurses, consisting of 3 licensed vocational nurses and 7 registered nurses, to evaluate the user interface and workflow via simulated use cases. We recorded whether each session was successfully completed and its completion time. Each nurse was asked to use the National Aeronautics and Space Administration (NASA) Task Load Index to self-evaluate the amount of cognitive and physical burden associated with using the device. ResultsA total of 83 heuristic violations were identified in the studies. The distribution of the heuristic violations and their average severity are reported. The nurse evaluators successfully completed all 30 sessions of the performance evaluations. All nurses were able to use the device after a single training session. On average, the nurses took 111 seconds (SD 30 seconds) to complete the simulated task. The NASA Task Load Index results indicated that the work overhead on the nurses was low. In fact, most of the burden measures were consistent with zero. The only potentially significant burden was temporal demand, which was consistent with the primary use case of the tool. ConclusionsThe evaluation has shown that our design was functional and met the requirements demanded by the nurses’ tight schedules and heavy workloads. The user interface embedded in the tool provided compelling utility to the nurse with minimal distraction.
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- 2013
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11. Workers' Plans: What they mean and what they might mean.
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George, Mike
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BUSINESS enterprises ,CAPITALISM ,COMMUNITIES - Published
- 2022
12. Developing a distinctive consumer marketing organization
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Aufreiter, Nora, George, Mike, and Lempres, Liz
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- 1996
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13. Water and nitrogen stress effects on canopy development and biomass allocation in fodder beet (Beta vulgaris L.).
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Khaembah, Edith N., Maley, Shane, Gillespie, Richard, George, Mike, Michel, Alexandre J., Chakwizira, Emmanuel, de Ruiter, John, and Teixeira, Edmar
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NITROGEN in water ,BEETS ,ANIMAL feeds ,WATER supply ,BIOMASS ,LEAF growth - Abstract
The effects of water stress on fodder beet (Beta vulgaris L.) production in the field are confounded by the influences of variable inter- and intra-season rainfall. In this study, a rain shelter experiment investigated the effect of water and nitrogen (N) stress on dry matter (DM) production, DM allocation and N partitioning in fodder beet ('Rivage'). Two water-management treatments, irrigated (replacement of the profile water lost weekly) and unirrigated (limited water applied only during fertigation), and three fertiliser N treatments (0, 50 and 300 kg N ha
−1 (hereafter, 0N, 50N, 300N)) were evaluated during the 2016–2017 season. Under irrigation, the yield was greater (P =.02) for the 50N than 0N treatments (29.4 and 24.9 t DM ha−1 , respectively). Yield did not differ (P =.42) between irrigated 50N and 300N (30.6 t DM ha−1 ) treatments, indicating surplus N application to the latter. Water and N stress restricted leaf growth, lowered N uptake and reduced yield by 48%–51%. Surplus N in irrigated 300N treatments resulted in increased N uptake and leaf proportion but reduced the storage root proportion. These results demonstrate the plasticity of fodder beet biomass and N allocation in adapting to the availability of water and N. [ABSTRACT FROM AUTHOR]- Published
- 2022
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14. Crop growth and development dynamics of two fodder beet (Beta vulgaris L.) cultivars sown on different dates in New Zealand.
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Khaembah, Edith N., Maley, Shane, George, Mike, Chakwizira, Emmanuel, de Ruiter, John, Zyskowski, Rob, and Teixeira, Edmar
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BEETS ,CROP development ,CROP growth ,ANIMAL feeds ,CULTIVARS ,ROOT growth ,FODDER crops - Abstract
Two fodder beet (Beta vulgaris L.) cultivars ('Rivage' and SF Brigadier™) were evaluated in a field experiment to quantify the effect of cultivar and sowing date on growth physiology. The crops were sown on 19 September, 17 October, 17 November and 15 December in 2014. Crops were sequentially harvested and separated into storage root, leaf blade and petiole for analysis. Fodder beet growth was sigmoidal; the growth of leaf blades and petioles dominated the lag phase while storage root growth dominated the exponential phase. The appearance of the 25th leaf marked the beginning of the exponential phase. The maximum growth rate was not affected by the cultivar or sowing date. Total dry matter (DM) yield was the same for September- and October-sown crops (2444 ± 164 g DM m
−2 ); showing little advantage of early sowing because cold temperatures slowed canopy development. The November- and December-sown crops produced 18% and 30% lower yield than the October-sown crops. 'Rivage' partitioned 5% greater DM to the storage root, an indication of greater sink strength, than SF Brigadier. Information on the pattern of growth can aid management decisions for optimising yield, and is valuable for the improvement of fodder beet models. [ABSTRACT FROM AUTHOR]- Published
- 2020
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15. Computational and theoretical approaches for mechanistic understanding: general discussion.
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Bauer, Matthias, Cadge, Jamie, Davies, David, Durand, Derek J., Eisenstein, Odile, Ess, Daniel, Fey, Natalie, Gallarati, Simone, George, Mike, Hamilton, Alexander, Harvey, Jeremy, Hintermair, Ulrich, Hulme, Alison N., Ishii, Youichi, Jensen, Vidar R., Lloyd-Jones, Guy, Love, Jennifer, Lynam, Jason, Macgregor, Stuart, and Marder, Todd B.
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- 2019
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16. Understanding unusual element-element bond formation and activation: general discussion.
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Aoki, Yutaka, Braun, Thomas, Davies, David, Eisenstein, Odile, Fairlamb, Ian, Fey, Natalie, George, Mike, Goult, Christopher, Hamilton, Alexander, Huang, Zhiliang, Ishii, Youichi, Jakoobi, Martin, Kuwata, Shigeki, Lloyd-Jones, Guy, Love, Jennifer, Lynam, Jason, Macgregor, Stuart, Marder, Todd B., Morgan, Patrick, and Mwansa, Joseph
- Published
- 2019
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17. Physical methods for mechanistic understanding: general discussion.
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Aoki, Yutaka, Bauer, Matthias, Braun, Thomas, Cadge, Jamie, Davies, David, Durand, Derek J., Eisenstein, Odile, Ess, Daniel, Fairlamb, Ian, Fey, Natalie, Gallarati, Simone, George, Mike, Greaves, Megan, Halse, Meghan, Hamilton, Alexander, Harvey, Jeremy, Haynes, Anthony, Hintermair, Ulrich, Hulme, Alison N., and Ishii, Youichi
- Published
- 2019
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18. Why Workers' Plans Make Sense: the Economics of Alternative Production Proposals.
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George, Mike
- Published
- 1980
19. The study and the brief.
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George, Mike
- Abstract
Briefs for planning studies, whether by consultants or within an organisation, often suffer from a lack of clarity. In turn the inception, management, timing and results of studies may be diverted. This paper offers a pragmatic appraisal of the study process. While it may appear to say the obvious, there is enough wasted time and money to suggest that what appears obvious, often is not. The key lies in a clear definition of the product of the study. [ABSTRACT FROM PUBLISHER]
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- 1984
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20. Performance of Winter-Sown Cereal Catch Crops after Simulated Forage Crop Grazing in Southland, New Zealand.
- Author
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Malcolm, Brendon, Maley, Shane, Teixeira, Edmar, Johnstone, Paul, de Ruiter, John, Brown, Hamish, Armstrong, Stewart, Dellow, Steven, and George, Mike
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CATCH crops ,OATS ,TRITICALE ,RYE ,CROPS ,GRAZING ,CROP quality - Abstract
(1) Background: Winter grazing of livestock poses significant environmental risks of nitrogen (N) leaching and sediment runoff. (2) Methods: A field study tested the effects of sowing catch crops of oats (Avena sativa L.), ryecorn (Secale cereale L.) or triticale (Triticosecale) in June and August (winter) in Southland, New Zealand (NZ), on the risk of N leaching losses from simulated N loads left after winter forage grazing. (3) Results: Catch crops took up 141–191 kg N ha
−1 by green-chop silage maturity (approximately Zadoks growth stage 52; November/December). Importantly, early-sown catch crops were able to capture more N during the key leaching period from winter to mid-spring (77–106 kg N ha−1 cf. 27–31 kg N ha−1 for June and August treatments, respectively). At this time, ryecorn and triticale crops sown in June captured 20–29 kg ha−1 more N than June-sown oats (77 kg N ha−1 ). In October, early-sown catch crops reduced mineral N in the soil profile (0–45 cm depth) by 69–141 kg N ha−1 through the process of plant uptake. At green-chop silage maturity, catch crop yields ranged from 6.6 to 14.6 t DM ha−1 . Highest yields and crop quality profiles (e.g., metabolizable energy, crude protein, soluble sugars and starch) were achieved by the oats, irrespective of the sowing date, indicating that trade-offs likely exist between environmental and productive performances of the catch crop species tested. (4) Conclusion: The catch crop of choice by farmers will depend on the desired end use for the crop, its place in the crop rotation and its potential for an environmental benefit. [ABSTRACT FROM AUTHOR]- Published
- 2021
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21. THE ROLE AND CONTRIBUTION OF CONSULTANTS IN POST-WAR PLANNING.
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George, Mike
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- 1988
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22. The Lessons of the Lucas Campaign: the Role of the State.
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George, Mike
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INDUSTRIAL relations ,COLLECTIVE bargaining ,LABOR policy ,DEALS ,INDUSTRIAL management ,EMPLOYMENT ,LABOR - Abstract
This article looks into tripartite arrangements between business, the State and the trade unions. The development of tripartite arrangements is considered a well-documented feature of modern industrial relations and economic planning. In this article, the case of the Lucas Aerospace Combine Shop Stewards Committee in Great Britain is illustrated. The Combine Committee had been seeking a planning agreement procedure over the Corporate Plan proposals for some time and they felt that the hand-out should be accompanied by some form of agreement which would relate to the employment creation proposals put forward by the Combine Committee. Thus, the experience of workers in Lucas Aerospace and other industries pursuing so-called corporate plan initiatives contains lessons which need to be learnt by those who would argue for an extension of industrial democracy.
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- 1979
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23. Integration of numerical and experimental wind tunnels (IofNEWT).
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Bailey, F. Ron, George, Mike, Koga, Dennis, Buning, Pieter, Delzio, Paul, and Kulfan, Robert
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- 1994
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