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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
30/11/2022 |
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Actualizado : |
30/11/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ABBATE, S.L.; MADEIRA, F.; BENTANCUR, O.; ALTIER, N.; PONS, X. |
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Afiliación : |
SILVANA LAURA ABBATE, Est. Exp. "Dr. Mario A. Cassinoni", Department of Plant Protection, Polo Agroalimentario y Agroindustrial Paysandú, Centro Universitario Regional Litoral Norte, Sede Paysandú, Universidad de la República, Ruta 3 km 363, Paysandú, 600; FILIPE MADEIRA, Centro de Investigação de Montanha (CIMO), Inst. Politécnico de Bragança, Bragança, Portugal; Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Inst. Politécnico de Bragança, Portugal.; OSCAR BENTANCUR, Est. Exp. "Dr. Mario A. Cassinoni", Department of Biometry and Statistics, Facultad de Agronomía, Universidad de la República, Ruta 3, km 363, Paysandú, 6000, Uruguay; NORA ADRIANA ALTIER MANZINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; XAVIER PONS, Department of Crop and Forest Sciences, Agrotecnio-Cerca Center, University of Lleida, Rovira Roure 191, Lleida, 25198, Spain. |
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Título : |
Refuge areas favor the presence of predators and herbivores in Bt soybean: a landscape perspective. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Journal of Pest Science, 2022. [Article in Press]. doi: https://doi.org/10.1007/s10340-022-01580-7 |
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ISSN : |
1612-4758 |
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DOI : |
10.1007/s10340-022-01580-7 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 13 August 2022; Revised 20 October 2022; Accepted 29 October 2022; Published online 17 November 2022. -- Corresponding author: Abbate, S.L.; Est. Exp. "Dr. Mario A. Cassinoni", Department of Plant Protection, Polo Agroalimentario y Agroindustrial Paysandú, Centro Universitario Regional Litoral Norte, Sede Paysandú, Universidad de la República, Ruta 3 km 363, Paysandú, Uruguay; email:abbate@fagro.edu.uy -- Funding: This research is part of a project sponsored by Agencia Nacional de Investigación e Innovación (ANII, Uruguay): Fondo María Viñas (FMV-2-2016-1-126142). SA obtained Postgraduate student grants by ANII (POS_NAC_2011_1_3559) and Comisión Académica de Posgrado (CAP)-Universidad de la República (Uruguay). FM thanks national funding by the Foundation for Science and Technology (FCT, Portugal), through the institutional scientific employment program contract. The authors are grateful to the Foundation for Science and Technology for its financial support through national funds FCT/MCTES (PIDDAC), to CIMO (UIDB/00690/2020 and UIDP/00690/2020), and to SusTEC (LA/P/0007/2020). |
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Contenido : |
ABSTRACT.- Soybean plants that express various insecticidal proteins of the bacterium Bacillus thuringiensis have been widely adopted globally in many crop systems. This technology effectively controls the main defoliating pest species in most countries and reduces insecticide spray requirements. However, widespread use of Bt crops also generates high selection pressure against pest populations, leading to resistance concerns. Refuge areas are established to delay this phenomenon, but little is known about their other ecological functions. We evaluated the role of non-Bt soybean refuge areas regarding the abundance and richness of predator species in Bt soybean and non-Bt fields. For 2 years, herbivore and predatory arthropods were sampled in 28 soybean fields (RR/Bt) and their non-Bt soybean refuge areas (RR/noBt) in Uruguay, throughout the whole crop cycle. Landscape crop diversity (1 km radius) was characterized by its richness and evenness. Arthropod abundance and richness were analyzed using general linear mixed models. The abundance and richness of predators (Araneae, Coccinellidae, Heteroptera and Chrysopidae) found in Bt soybean were positively associated with the values recorded in refuge areas, independently of the diversity of the surrounding landscape. This relationship was not affected by changes in the distance between sampling points (within 800 m). The abundance of stink bugs and leaf-feeding caterpillars in Bt soybean was positively associated with refuge area values. Our results reinforce the importance of refuge areas, not only due to their role in resistance management, but also as preservation areas of beneficial fauna within a landscape approach to Integrated Pest Management in agroecosystems. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. MenosABSTRACT.- Soybean plants that express various insecticidal proteins of the bacterium Bacillus thuringiensis have been widely adopted globally in many crop systems. This technology effectively controls the main defoliating pest species in most countries and reduces insecticide spray requirements. However, widespread use of Bt crops also generates high selection pressure against pest populations, leading to resistance concerns. Refuge areas are established to delay this phenomenon, but little is known about their other ecological functions. We evaluated the role of non-Bt soybean refuge areas regarding the abundance and richness of predator species in Bt soybean and non-Bt fields. For 2 years, herbivore and predatory arthropods were sampled in 28 soybean fields (RR/Bt) and their non-Bt soybean refuge areas (RR/noBt) in Uruguay, throughout the whole crop cycle. Landscape crop diversity (1 km radius) was characterized by its richness and evenness. Arthropod abundance and richness were analyzed using general linear mixed models. The abundance and richness of predators (Araneae, Coccinellidae, Heteroptera and Chrysopidae) found in Bt soybean were positively associated with the values recorded in refuge areas, independently of the diversity of the surrounding landscape. This relationship was not affected by changes in the distance between sampling points (within 800 m). The abundance of stink bugs and leaf-feeding caterpillars in Bt soybean was positively associated with refuge ar... Presentar Todo |
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Palabras claves : |
Caterpillar pest; Insect-resistant GM crops; Insect-resistant management; Landscape composition; PLATAFORMA DE BIOINSUMOS - INIA; Predators. |
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Thesagro : |
GLYCINE MAX. |
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Asunto categoría : |
H10 Plagas de las plantas |
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Marc : |
LEADER 03884naa a2200289 a 4500
001 1063802
005 2022-11-30
008 2022 bl uuuu u00u1 u #d
022 $a1612-4758
024 7 $a10.1007/s10340-022-01580-7$2DOI
100 1 $aABBATE, S.L.
245 $aRefuge areas favor the presence of predators and herbivores in Bt soybean$ba landscape perspective.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 13 August 2022; Revised 20 October 2022; Accepted 29 October 2022; Published online 17 November 2022. -- Corresponding author: Abbate, S.L.; Est. Exp. "Dr. Mario A. Cassinoni", Department of Plant Protection, Polo Agroalimentario y Agroindustrial Paysandú, Centro Universitario Regional Litoral Norte, Sede Paysandú, Universidad de la República, Ruta 3 km 363, Paysandú, Uruguay; email:abbate@fagro.edu.uy -- Funding: This research is part of a project sponsored by Agencia Nacional de Investigación e Innovación (ANII, Uruguay): Fondo María Viñas (FMV-2-2016-1-126142). SA obtained Postgraduate student grants by ANII (POS_NAC_2011_1_3559) and Comisión Académica de Posgrado (CAP)-Universidad de la República (Uruguay). FM thanks national funding by the Foundation for Science and Technology (FCT, Portugal), through the institutional scientific employment program contract. The authors are grateful to the Foundation for Science and Technology for its financial support through national funds FCT/MCTES (PIDDAC), to CIMO (UIDB/00690/2020 and UIDP/00690/2020), and to SusTEC (LA/P/0007/2020).
520 $aABSTRACT.- Soybean plants that express various insecticidal proteins of the bacterium Bacillus thuringiensis have been widely adopted globally in many crop systems. This technology effectively controls the main defoliating pest species in most countries and reduces insecticide spray requirements. However, widespread use of Bt crops also generates high selection pressure against pest populations, leading to resistance concerns. Refuge areas are established to delay this phenomenon, but little is known about their other ecological functions. We evaluated the role of non-Bt soybean refuge areas regarding the abundance and richness of predator species in Bt soybean and non-Bt fields. For 2 years, herbivore and predatory arthropods were sampled in 28 soybean fields (RR/Bt) and their non-Bt soybean refuge areas (RR/noBt) in Uruguay, throughout the whole crop cycle. Landscape crop diversity (1 km radius) was characterized by its richness and evenness. Arthropod abundance and richness were analyzed using general linear mixed models. The abundance and richness of predators (Araneae, Coccinellidae, Heteroptera and Chrysopidae) found in Bt soybean were positively associated with the values recorded in refuge areas, independently of the diversity of the surrounding landscape. This relationship was not affected by changes in the distance between sampling points (within 800 m). The abundance of stink bugs and leaf-feeding caterpillars in Bt soybean was positively associated with refuge area values. Our results reinforce the importance of refuge areas, not only due to their role in resistance management, but also as preservation areas of beneficial fauna within a landscape approach to Integrated Pest Management in agroecosystems. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
650 $aGLYCINE MAX
653 $aCaterpillar pest
653 $aInsect-resistant GM crops
653 $aInsect-resistant management
653 $aLandscape composition
653 $aPLATAFORMA DE BIOINSUMOS - INIA
653 $aPredators
700 1 $aMADEIRA, F.
700 1 $aBENTANCUR, O.
700 1 $aALTIER, N.
700 1 $aPONS, X.
773 $tJournal of Pest Science, 2022. [Article in Press]. doi: https://doi.org/10.1007/s10340-022-01580-7
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
30/11/2020 |
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Actualizado : |
05/09/2022 |
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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 : |
WANG, X.; SILVA, P.; BELLO, N.M.; SINGH, D.; EVERS, B.; SINGH, R.P.; POLAND, J. |
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Afiliación : |
XU WANG, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.;Department of Plant Pathology, Kansas State University, Manhattan, KS, United States; Interdepartmental Genetics, Kansas State University, Manhattan, KS, United State; NORA M. BELLO, Department of Statistics, Kansas State University, Manhattan, KS, United States,; DALJIT SINGH, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; BYRON EVERS, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; RAVI P. SINGH, Global Wheat Program, International Maize and Wheat Improvement Center, Mexico City, Mexico.; JESSE POLAND1, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States. |
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Título : |
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Frontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093 |
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DOI : |
10.3389/fpls.2020.587093 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020. |
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Contenido : |
The development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial
images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection. MenosThe development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial
images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-s... Presentar Todo |
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Palabras claves : |
CANOPY TEMPERATURE; GROUND COVER; HIGH-THROUGHPUT PHENOTYPING; NORMALIZED DIFFERENCE VEGETATION INDEX; UNMANNED AERIAL SYSTEMS; WHEAT. |
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Thesagro : |
TRIGO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16703/1/fpls-11-587093.pdf
https://www.frontiersin.org/articles/10.3389/fpls.2020.587093/pdf
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Marc : |
LEADER 03406nam a2200289 a 4500
001 1061531
005 2022-09-05
008 2020 bl uuuu u0uu1 u #d
024 7 $a10.3389/fpls.2020.587093$2DOI
100 1 $aWANG, X.
245 $aImproved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images.$h[electronic resource]
260 $aFrontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093$c2020
500 $aArticle history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020.
520 $aThe development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection.
650 $aTRIGO
653 $aCANOPY TEMPERATURE
653 $aGROUND COVER
653 $aHIGH-THROUGHPUT PHENOTYPING
653 $aNORMALIZED DIFFERENCE VEGETATION INDEX
653 $aUNMANNED AERIAL SYSTEMS
653 $aWHEAT
700 1 $aSILVA, P.
700 1 $aBELLO, N.M.
700 1 $aSINGH, D.
700 1 $aEVERS, B.
700 1 $aSINGH, R.P.
700 1 $aPOLAND, J.
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