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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
08/02/2023 |
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Actualizado : |
08/02/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CASTELLI, L.; BRANCHICCELA, B.; ZUNINO, P.; ANTÚNEZ, K. |
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Afiliación : |
LORELEY CASTELLI, Laboratorio de Microbiología y Salud de las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avda. Italia 3318, Montevideo 11600, Uruguay; MARIA BELEN BRANCHICCELA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO ZUNINO, Laboratorio de Microbiología y Salud de las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avda. Italia 3318, Montevideo 11600, Uruguay; KARINA ANTÚNEZ, Laboratorio de Microbiología y Salud de las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avda. Italia 3318, Montevideo 11600, Uruguay. |
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Título : |
Insights into the effects of sublethal doses of pesticides glufosinate-ammonium and sulfoxaflor on honey bee health- |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Science of The Total Environment, 2023, Volume 868, article 161331. doi: http://dx.doi.org/10.1016/j.scitotenv.2022.161331 |
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ISSN : |
0048-9697 |
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DOI : |
10.1016/j.scitotenv.2022.161331 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 30 September 2022; Received in revised form 27 December 2022; Accepted 29 December 2022; Available online 7 January 2023. -- Corresponding author: Antúnez, K.; Laboratorio de Microbiología y Salud de las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avda. Italia 3318, Montevideo, Uruguay; email:kantunez03@gmail.com -- Editor: Rafael Mateo Soria. -- |
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Contenido : |
ABSTRACT.- Insect pollinators are threatened worldwide, being the exposure to multiple pesticides one of the most important stressor. The herbicide Glyphosate and the insecticide Imidacloprid are among the most used pesticides worldwide, although different studies evidenced their detrimental effects on non-target organisms. The emergence of glyphosate-resistant weeds and the recent ban of imidacloprid in Europe due to safety concerns, has prompted their replacement by new molecules, such as glufosinate-ammonium (GA) and sulfoxaflor (S). GA is a broad-spectrum and non-selective herbicide that inhibits a key enzyme in the metabolism of nitrogen, causing accumulation of lethal levels of ammonia; while sulfoxaflor is an agonist at insect nicotinic acetylcholine receptors (nAChRs) and generates excitatory responses including tremors, paralysis and mortality. Although those molecules are being increasingly used for crop protection, little is known about their effects on non-target organisms. In this study we assessed the impact of chronic and acute exposure to sublethal doses of GA and S on honey bee gut microbiota, immunity and survival. We found GA significantly reduced the number of gut bacteria, and decreased the expression of glucose oxidase, a marker of social immunity. On the other hand, S significantly increased the number of gut bacteria altering the microbiota composition, decreased the expression of lysozyme and increased the expression of hymenoptaecin. These alterations in gut microbiota and immunocompetence may lead to an increased susceptibility to pathogens. Finally, both pesticides shortened honey bee survival and increased the risk of death. Those results evidence the negative impact of GA and S on honey bees, even at single exposition to a low dose, and provide useful information to the understanding of pollinators decline. © 2022 MenosABSTRACT.- Insect pollinators are threatened worldwide, being the exposure to multiple pesticides one of the most important stressor. The herbicide Glyphosate and the insecticide Imidacloprid are among the most used pesticides worldwide, although different studies evidenced their detrimental effects on non-target organisms. The emergence of glyphosate-resistant weeds and the recent ban of imidacloprid in Europe due to safety concerns, has prompted their replacement by new molecules, such as glufosinate-ammonium (GA) and sulfoxaflor (S). GA is a broad-spectrum and non-selective herbicide that inhibits a key enzyme in the metabolism of nitrogen, causing accumulation of lethal levels of ammonia; while sulfoxaflor is an agonist at insect nicotinic acetylcholine receptors (nAChRs) and generates excitatory responses including tremors, paralysis and mortality. Although those molecules are being increasingly used for crop protection, little is known about their effects on non-target organisms. In this study we assessed the impact of chronic and acute exposure to sublethal doses of GA and S on honey bee gut microbiota, immunity and survival. We found GA significantly reduced the number of gut bacteria, and decreased the expression of glucose oxidase, a marker of social immunity. On the other hand, S significantly increased the number of gut bacteria altering the microbiota composition, decreased the expression of lysozyme and increased the expression of hymenoptaecin. These alteratio... Presentar Todo |
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Palabras claves : |
Glufosinate-ammonium; Gut microbiota; Honey bee; Immune system; Sulfoxaflor; Weed control. |
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Thesagro : |
APICULTURA; APIS MELLIFERA; MIEL. |
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Asunto categoría : |
H10 Plagas de las plantas |
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Marc : |
LEADER 03278naa a2200301 a 4500
001 1063957
005 2023-02-08
008 2023 bl uuuu u00u1 u #d
022 $a0048-9697
024 7 $a10.1016/j.scitotenv.2022.161331$2DOI
100 1 $aCASTELLI, L.
245 $aInsights into the effects of sublethal doses of pesticides glufosinate-ammonium and sulfoxaflor on honey bee health-$h[electronic resource]
260 $c2023
500 $aArticle history: Received 30 September 2022; Received in revised form 27 December 2022; Accepted 29 December 2022; Available online 7 January 2023. -- Corresponding author: Antúnez, K.; Laboratorio de Microbiología y Salud de las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avda. Italia 3318, Montevideo, Uruguay; email:kantunez03@gmail.com -- Editor: Rafael Mateo Soria. --
520 $aABSTRACT.- Insect pollinators are threatened worldwide, being the exposure to multiple pesticides one of the most important stressor. The herbicide Glyphosate and the insecticide Imidacloprid are among the most used pesticides worldwide, although different studies evidenced their detrimental effects on non-target organisms. The emergence of glyphosate-resistant weeds and the recent ban of imidacloprid in Europe due to safety concerns, has prompted their replacement by new molecules, such as glufosinate-ammonium (GA) and sulfoxaflor (S). GA is a broad-spectrum and non-selective herbicide that inhibits a key enzyme in the metabolism of nitrogen, causing accumulation of lethal levels of ammonia; while sulfoxaflor is an agonist at insect nicotinic acetylcholine receptors (nAChRs) and generates excitatory responses including tremors, paralysis and mortality. Although those molecules are being increasingly used for crop protection, little is known about their effects on non-target organisms. In this study we assessed the impact of chronic and acute exposure to sublethal doses of GA and S on honey bee gut microbiota, immunity and survival. We found GA significantly reduced the number of gut bacteria, and decreased the expression of glucose oxidase, a marker of social immunity. On the other hand, S significantly increased the number of gut bacteria altering the microbiota composition, decreased the expression of lysozyme and increased the expression of hymenoptaecin. These alterations in gut microbiota and immunocompetence may lead to an increased susceptibility to pathogens. Finally, both pesticides shortened honey bee survival and increased the risk of death. Those results evidence the negative impact of GA and S on honey bees, even at single exposition to a low dose, and provide useful information to the understanding of pollinators decline. © 2022
650 $aAPICULTURA
650 $aAPIS MELLIFERA
650 $aMIEL
653 $aGlufosinate-ammonium
653 $aGut microbiota
653 $aHoney bee
653 $aImmune system
653 $aSulfoxaflor
653 $aWeed control
700 1 $aBRANCHICCELA, B.
700 1 $aZUNINO, P.
700 1 $aANTÚNEZ, K.
773 $tScience of The Total Environment, 2023, Volume 868, article 161331. doi: http://dx.doi.org/10.1016/j.scitotenv.2022.161331
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
16/04/2024 |
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Actualizado : |
18/04/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MACEDO, I.; PITTELKOW, C.M.; TERRA, J.A.; CASTILLO, J.; ROEL, A. |
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Afiliación : |
IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Sciences, Univ. of California, Davis, CA, USA; CAMERON M. PITTELKOW, Department of Plant Sciences, Univ. of California, Davis, CA, USA; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMILSE JESUS CASTILLO VELAZQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
The power of on-farm data for improved agronomy. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Global Food Security. 2024, Volume 40, 100752. https://doi.org/10.1016/j.gfs.2024.100752 -- OPEN ACCESS. |
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ISSN : |
2211-9124 |
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DOI : |
10.1016/j.gfs.2024.100752 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 24 November 2023, Revised 27 February 2024, Accepted 3 March 2024, Available online 16 March 2024, Version of Record 16 March 2024. -- Correspondence: Macedo, I.; Department of Plant Sciences, Univ. of California, Davis, CA, United States; email:imacedo@inia.org.uy -- Document type: Article Hybrid Gold Open Access. -- Incluye Appendix A. Supplementary data -- Data availability:
Data will be made available on request. -- License: Under Creative Commons license http://creativecommons.org/licenses/by-nc-nd/4.0/ -- |
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Contenido : |
ABSTRACT.- Advances in technology and analytics to support data-driven agriculture has important implications for global food security and environmental sustainability. However, relatively few studies have investigated the potential to leverage the power of on-farm data for improved agronomy at scale using geospatial machine learning methods. Working in high-yielding rice systems of Uruguay, we developed a geospatial framework to identify yield-limiting factors across 55,000 ha annually of cropland over four seasons (2018?2021 harvest years), while also testing for tradeoffs in the environmental footprint related to nitrogen (N) fertilizer use. Our application of geographically-weighted random forest models showed that crop management decisions influenced rice yield more than variation in soil properties, highlighting the potential for improved agronomy to boost crop production by 1.4-1.8 Mg ha-1 across regions. Seeding date, variety, P rate, and K rate were the most important variables controlling yield, but with significant variation across fields. When these factors were optimized by farmers, the risk of environmental N losses or soil N mining did not increase, highlighting the potential for sustainable intensification by improving N use efficiency. These findings present a pathway for harnessing the benefits of increasingly available on-farm data to identify yield-limiting factors while minimizing negative environmental externalities at the field-level. To enable the development of such geospatial frameworks in other regions, new partnerships are required to engage stakeholders and promote data sharing and collaboration among farmers, researchers, and industry, helping guide regional extension programs and orient future investments in agricultural research. © 2024 The Authors MenosABSTRACT.- Advances in technology and analytics to support data-driven agriculture has important implications for global food security and environmental sustainability. However, relatively few studies have investigated the potential to leverage the power of on-farm data for improved agronomy at scale using geospatial machine learning methods. Working in high-yielding rice systems of Uruguay, we developed a geospatial framework to identify yield-limiting factors across 55,000 ha annually of cropland over four seasons (2018?2021 harvest years), while also testing for tradeoffs in the environmental footprint related to nitrogen (N) fertilizer use. Our application of geographically-weighted random forest models showed that crop management decisions influenced rice yield more than variation in soil properties, highlighting the potential for improved agronomy to boost crop production by 1.4-1.8 Mg ha-1 across regions. Seeding date, variety, P rate, and K rate were the most important variables controlling yield, but with significant variation across fields. When these factors were optimized by farmers, the risk of environmental N losses or soil N mining did not increase, highlighting the potential for sustainable intensification by improving N use efficiency. These findings present a pathway for harnessing the benefits of increasingly available on-farm data to identify yield-limiting factors while minimizing negative environmental externalities at the field-level. To enable the dev... Presentar Todo |
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Palabras claves : |
Data-driven research; Decent work and economic growth - Goal 8; Geospatial data; Industry, innovation and infrastructure - Goal 9; Life on land - Goal 15; Nitrogen balance; Partnership for the goals - Goal 17; Responsible consumption and production - Goal 12; Rice; SISTEMA ARROZ-GANADERÍA - INIA; Sustainability; Sustainable Development Goals (SDGs); Zero hunger - Goal 2. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://www.sciencedirect.com/science/article/pii/S2211912424000142/pdf
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Marc : |
LEADER 03526naa a2200361 a 4500
001 1064590
005 2024-04-18
008 2024 bl uuuu u00u1 u #d
022 $a2211-9124
024 7 $a10.1016/j.gfs.2024.100752$2DOI
100 1 $aMACEDO, I.
245 $aThe power of on-farm data for improved agronomy.$h[electronic resource]
260 $c2024
500 $aArticle history: Received 24 November 2023, Revised 27 February 2024, Accepted 3 March 2024, Available online 16 March 2024, Version of Record 16 March 2024. -- Correspondence: Macedo, I.; Department of Plant Sciences, Univ. of California, Davis, CA, United States; email:imacedo@inia.org.uy -- Document type: Article Hybrid Gold Open Access. -- Incluye Appendix A. Supplementary data -- Data availability: Data will be made available on request. -- License: Under Creative Commons license http://creativecommons.org/licenses/by-nc-nd/4.0/ --
520 $aABSTRACT.- Advances in technology and analytics to support data-driven agriculture has important implications for global food security and environmental sustainability. However, relatively few studies have investigated the potential to leverage the power of on-farm data for improved agronomy at scale using geospatial machine learning methods. Working in high-yielding rice systems of Uruguay, we developed a geospatial framework to identify yield-limiting factors across 55,000 ha annually of cropland over four seasons (2018?2021 harvest years), while also testing for tradeoffs in the environmental footprint related to nitrogen (N) fertilizer use. Our application of geographically-weighted random forest models showed that crop management decisions influenced rice yield more than variation in soil properties, highlighting the potential for improved agronomy to boost crop production by 1.4-1.8 Mg ha-1 across regions. Seeding date, variety, P rate, and K rate were the most important variables controlling yield, but with significant variation across fields. When these factors were optimized by farmers, the risk of environmental N losses or soil N mining did not increase, highlighting the potential for sustainable intensification by improving N use efficiency. These findings present a pathway for harnessing the benefits of increasingly available on-farm data to identify yield-limiting factors while minimizing negative environmental externalities at the field-level. To enable the development of such geospatial frameworks in other regions, new partnerships are required to engage stakeholders and promote data sharing and collaboration among farmers, researchers, and industry, helping guide regional extension programs and orient future investments in agricultural research. © 2024 The Authors
653 $aData-driven research
653 $aDecent work and economic growth - Goal 8
653 $aGeospatial data
653 $aIndustry, innovation and infrastructure - Goal 9
653 $aLife on land - Goal 15
653 $aNitrogen balance
653 $aPartnership for the goals - Goal 17
653 $aResponsible consumption and production - Goal 12
653 $aRice
653 $aSISTEMA ARROZ-GANADERÍA - INIA
653 $aSustainability
653 $aSustainable Development Goals (SDGs)
653 $aZero hunger - Goal 2
700 1 $aPITTELKOW, C.M.
700 1 $aTERRA, J.A.
700 1 $aCASTILLO, J.
700 1 $aROEL, A.
773 $tGlobal Food Security. 2024, Volume 40, 100752. https://doi.org/10.1016/j.gfs.2024.100752 -- OPEN ACCESS.
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