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Impactos econômicos e ambientais (ex-ante) da adoção da cultivar de cana-de-açúcar BRS3280BtRR no contexto de perdas agrícolas e industriais provocadas pela broca da cana (Diatraea saccharalis) no Brasil

Autor: GUIDUCCI, R. do C. N., SABAINI, P. S., MOLINARI, H. B. C., LUCCA, P. C.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

Resumo: Neste estudo, buscou-se avaliar impactos econômicos e ambientais ex-ante da adoção da cultivar de cana BRS3280BtRR, desenvolvida pela Embrapa Agroenergia. Com base em dados da pesquisa, foram estimados ganhos esperados com redução no cus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::de99ae2475ae5e4b3511a3b8d3551a69
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1137595

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Akademický článek

Transition‐Metal Free Amination and Hydrodefluorination of Aryl Fluorides Promoted by Solvated Electrons.

Autor: Williams, Anietie W., Gilmore, Kerry M.

Publikováno v: Chemistry - A European Journal; 12/13/2024, Vol. 30 Issue 70, p1-12, 12p

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Estimation quasi temps réel de modèles de demande distribués géographiquement et non-géographiquement dans un réseau de distribution d'eau

Autor: Do, C. N., Simpson, A. R., Deuerlein, J. W., Piller, O.

Publikováno v: CCWI 2017 – Computing and Control for the Water Industry
CCWI 2017-Computing and Control for the Water Industry
CCWI 2017-Computing and Control for the Water Industry, Sep 2017, Sheffield, France. 8 p
CCWI 2017-Computing and Control for the Water Industry, Sep 2017, Sheffield, United Kingdom. 8 p., ⟨10.15131/shef.data.5364133.v1⟩

CCWI 2017 - Computing and Control for the Water Industry , Sheffield, , 05-/09/2017 - 07/09/2017; International audience; The issue of demand calibration and estimation under uncertainty is known to be an exceptionally difficult problem in water dist

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0543869d660e6bdd0b83e2bdc0cee336
https://hal.archives-ouvertes.fr/hal-01745358

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Agricultural R&D indicators factsheet: Brazil

Autor: FLAHERTY, K., GUIDUCCI, R. do C. N., TORRES, D. A. P., VEDOVOTO, G. L., AVILA, A. F. D., PEREZ, SANDRA

Publikováno v: Repositório de Informação Tecnológica da Embrapa (Infoteca-e)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

Brazil's agricultural research system is by far the region's largest, in terms of both research capacity and spending. Almost half of all agricultural researchers are employed by the main federal government agency, Embrapa, and a further quarter are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::d053f94baa9ccd4a4c61400cbc55f681
http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1048026

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Akademický článek

Distribution characteristics and potential release risk of nitrogen in sediments in Lake Daihai, China.

Autor: Zhao, Li, Chen, Junyi, Jiang, Xia, Xing, Jianyu, Wang, Shuhang

Publikováno v: Environmental Science & Pollution Research; May2023, Vol. 30 Issue 23, p64363-64376, 14p

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Akademický článek

EVALUATION OF THE COMBINED C/N RATIO, DO SET POINT, AND HRT INFLUENCE ON NITROGEN REMOVAL RATE IN ONE-STAGE REACTOR THROUGH PARTIAL NITRIFICATION ANAMMOX PROCESS DURING TREATMENT OF SYNTHETIC DIGESTATE OF POULTRY LITTER WASTEWATER.

Autor: Yiting Xiao, Yuanhang Zhan, Jun Zhu, Vanotti, Matias

Publikováno v: Journal of the ASABE; 2023, Vol. 66 Issue 2, p403-414, 12p

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The impact of climate change on the brazilian agriculture: a ricardian study at microregion level

Autor: MASSETTI, E., GUIDUCCI, R. do C. N., OLIVEIRA, A. F. de, MENDELSOHN, R.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

We use at microregion level from the Brazilian Census years 1975, 1985, 1995 and 2006 to assess the impact of climate change on Brazilian agriculture using a Ricardian model. We estimate the Ricardian model using repeated cross sections for each Cens

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::5545801adecb6e7d15e0b296dc91d685
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1048378

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Akademický článek

基于动态异构网络的股价预测.

Autor: 韩忠明¹ hanzhongming@btbu.edu.cn, 孟怡新¹, 郭惠莹¹, 郭苗苗¹, 毛雅俊¹

Publikováno v: Application Research of Computers / Jisuanji Yingyong Yanjiu. Jul2024, Vol. 41 Issue 7, p2126-2133. 8p.

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