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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
05/03/2021 |
Data da última atualização: |
11/11/2022 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
ZAMAN, M.; KLEINEIDAM, K.; BAKKEN, L.; BERENDT, J.; BRACKEN, C.; BUTTERBACH-BAHL, K.; CAI, Z.; CHANG, S. X.; CLOUGH, T.; DAWAR, K.; DING, W. X.; DÖRSCH, P.; MARTINS, M. dos R.; ECKHARDT, C.; FIEDLER, T.; FROSCH, T.; GOOPY, J.; GORRES, C. M.; GUPTA, A.; HENJES, S.; HOFMMAN, M. E. G.; HORN, M. A.; JAHANGIR, M. M. R.; JANSEN-WILLEMS, A.; LENHART, K.; HENG, L.; LEWICKA-SZCZEBAK, D.; LUCIC, G.; MERBOLD, L.; MOHN, J.; MOLSTAD, L.; MOSER, G.; MURPHY, P.; SANZ-COBENA, A.; SIMEK, M.; URQUIAGA, S.; WELL, R.; WRAGE-MÖNNIG, N.; ZAMAN, S.; SHANG, J.; MÜLLER, C. |
Título: |
Methane production in ruminant animals. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 6. |
Páginas: |
p. 177-211 |
ISBN: |
978-3-030-55396-8 |
DOI: |
https://doi.org/10.1007/978-3-030-55396-8_6 |
Idioma: |
Inglês |
Conteúdo: |
Agriculture is a significant source of GHGs globally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4 and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included |
Thesaurus Nal: |
Animal wastes; Animals; cattle; climate change; greenhouse gas emissions; urine. |
Categoria do assunto: |
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Marc: |
LEADER 02950naa a2200709 a 4500 001 2130523 005 2022-11-11 008 2021 bl uuuu u00u1 u #d 020 $a978-3-030-55396-8 024 7 $ahttps://doi.org/10.1007/978-3-030-55396-8_6$2DOI 100 1 $aZAMAN, M. 245 $aMethane production in ruminant animals.$h[electronic resource] 260 $c2021 300 $ap. 177-211 520 $aAgriculture is a significant source of GHGs globally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4 and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included 650 $aAnimal wastes 650 $aAnimals 650 $acattle 650 $aclimate change 650 $agreenhouse gas emissions 650 $aurine 700 1 $aKLEINEIDAM, K. 700 1 $aBAKKEN, L. 700 1 $aBERENDT, J. 700 1 $aBRACKEN, C. 700 1 $aBUTTERBACH-BAHL, K. 700 1 $aCAI, Z. 700 1 $aCHANG, S. X. 700 1 $aCLOUGH, T. 700 1 $aDAWAR, K. 700 1 $aDING, W. X. 700 1 $aDÖRSCH, P. 700 1 $aMARTINS, M. dos R. 700 1 $aECKHARDT, C. 700 1 $aFIEDLER, T. 700 1 $aFROSCH, T. 700 1 $aGOOPY, J. 700 1 $aGORRES, C. M. 700 1 $aGUPTA, A. 700 1 $aHENJES, S. 700 1 $aHOFMMAN, M. E. G. 700 1 $aHORN, M. A. 700 1 $aJAHANGIR, M. M. R. 700 1 $aJANSEN-WILLEMS, A. 700 1 $aLENHART, K. 700 1 $aHENG, L. 700 1 $aLEWICKA-SZCZEBAK, D. 700 1 $aLUCIC, G. 700 1 $aMERBOLD, L. 700 1 $aMOHN, J. 700 1 $aMOLSTAD, L. 700 1 $aMOSER, G. 700 1 $aMURPHY, P. 700 1 $aSANZ-COBENA, A. 700 1 $aSIMEK, M. 700 1 $aURQUIAGA, S. 700 1 $aWELL, R. 700 1 $aWRAGE-MÖNNIG, N. 700 1 $aZAMAN, S. 700 1 $aSHANG, J. 700 1 $aMÜLLER, C. 773 $tIn: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 6.
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Embrapa Agrobiologia (CNPAB) |
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Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
24/02/2014 |
Data da última atualização: |
21/09/2021 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
OLIVEIRA, R. P. de; WHELAN, B.; MCBRATNEY, A. |
Afiliação: |
RONALDO PEREIRA DE OLIVEIRA, CNPS; B. WHELAN, Precison Agriculture Laboratory; A. MCBRATNEY, Precison Agriculture Laboratory. |
Título: |
A segmentation approach to delineate zones for differential nitrogen intervention. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
In: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 17., 2013, Istanbul. Proceedings book... Istanbul: University Sabanci, 2013. |
Idioma: |
Inglês |
Conteúdo: |
Multi-source and -temporal data integration is expected to support the delineation of within-field management zones that may better conform to unique combinations of crop yield variations. This work addresses the evaluation of zone delineation approaches based on image classification and segmentation methods. An object based segmentation is introduced using ancillary data from multivariate analysis of yield maps. A simple economic evaluation is conducted to compare delineation methods aiming variable-rate Nitrogen applications. Advantages and penalties are suggested for 2, 3, and 4 management zones. Results show that a procedure combining multiresolution, watershed and region grow segmentation algorithms has systematically resulted in greater net worth. It is suggested that segmentation methods have potential application for zone management delineations supporting contiguous pattern |
Palavras-Chave: |
Crop Management Zones; Object Based Segmentation; Yield Variation. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/98026/1/A-segmentation-approach-to-delineate-zones-for-differential-Nitrogen-intervention.pdf
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Marc: |
LEADER 01498nam a2200169 a 4500 001 1980994 005 2021-09-21 008 2013 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, R. P. de 245 $aA segmentation approach to delineate zones for differential nitrogen intervention.$h[electronic resource] 260 $aIn: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 17., 2013, Istanbul. Proceedings book... Istanbul: University Sabanci$c2013 520 $aMulti-source and -temporal data integration is expected to support the delineation of within-field management zones that may better conform to unique combinations of crop yield variations. This work addresses the evaluation of zone delineation approaches based on image classification and segmentation methods. An object based segmentation is introduced using ancillary data from multivariate analysis of yield maps. A simple economic evaluation is conducted to compare delineation methods aiming variable-rate Nitrogen applications. Advantages and penalties are suggested for 2, 3, and 4 management zones. Results show that a procedure combining multiresolution, watershed and region grow segmentation algorithms has systematically resulted in greater net worth. It is suggested that segmentation methods have potential application for zone management delineations supporting contiguous pattern 653 $aCrop Management Zones 653 $aObject Based Segmentation 653 $aYield Variation 700 1 $aWHELAN, B. 700 1 $aMCBRATNEY, A.
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