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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
08/09/2022 |
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Data da última atualização: |
08/09/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BAZZI, L. C.; MARTINS, R. M.; GEBLER, L.; SOUZA, G. E.; SCHENATTO, K.; SOBJAK, R.; HACHISUCA, A. M. M. |
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Afiliação: |
L. C. BAZZI, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; R. M. MARTINS, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; LUCIANO GEBLER, CNPUV; G. E. SOUZA, WESTERN PARANÁ STATE UNIVERSITY; K. SCHENATTO, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; R. SOBJAK, FEDERAL OF TECHNOLOGY UNIVERSITY OF PARANÁ; A. M. M. HACHISUCA, Western Paraná State University. |
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Título: |
Yield mapping in fruit farming. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 15., 2022, Minnesota, USA. Anais... Minnesota: ISPA, 26 a 29 june 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
Due to the importance of increasing the quantity and quality of world agricultural production, the use of technologies to assist in production processes is essential. Despite this, a timid adoption by precision agriculture (PA) technologies is verified by the Brazilian fruit producers, even though it is one of the segments that had been stood out in recent years in the country's economy. In the PA context, yield maps are rich sources of information, especially by species harvested through machines, where the measurement of volumes harvested at georeferenced points is easier, allowing the generation of yield maps. In orchards intended for fresh fruit market, it is more difficult to generate yield data/maps, since it is linked to the volume harvested manually and, more importantly, to the quality of the fruit. One factor that makes it difficult to measure yield is that the harvest is done at different times because to maintain their quality, the fruits of an area are only when they reach the stipulated maturity point. To construct a system that permits of contemplating the complexity of the manual fruit harvesting processes, this paper aims to present a system that allows the yield mapping of hand-harvested orchards. The system is comprised of hardware components (intended to obtain the location of the harvester as well as the unloading record of their harvesting device at the unloading site) and software that allows processing the data obtained by the hardware device and create a mapped environment from which fruits were harvested, allowing the construction of yield maps. In addition to the yield maps, the system allows identifying the yield level of each worker performing the harvest by the number of discharges performed and the time spent. The system has been developed in partnership between the Federal Technological University of Paraná and Embrapa Grape & Wine and has been tested in apple orchards in southern Brazil. The system is expected to positively impact the sector by enabling monitoring of the quality and quantity of fruit from the orchards and providing more appropriate management aiming at the stability of the field production. Although tested only in apple cultivation, the system is promising for other segments of fruit growing, such as the production of pears, orange, fig, among others. MenosDue to the importance of increasing the quantity and quality of world agricultural production, the use of technologies to assist in production processes is essential. Despite this, a timid adoption by precision agriculture (PA) technologies is verified by the Brazilian fruit producers, even though it is one of the segments that had been stood out in recent years in the country's economy. In the PA context, yield maps are rich sources of information, especially by species harvested through machines, where the measurement of volumes harvested at georeferenced points is easier, allowing the generation of yield maps. In orchards intended for fresh fruit market, it is more difficult to generate yield data/maps, since it is linked to the volume harvested manually and, more importantly, to the quality of the fruit. One factor that makes it difficult to measure yield is that the harvest is done at different times because to maintain their quality, the fruits of an area are only when they reach the stipulated maturity point. To construct a system that permits of contemplating the complexity of the manual fruit harvesting processes, this paper aims to present a system that allows the yield mapping of hand-harvested orchards. The system is comprised of hardware components (intended to obtain the location of the harvester as well as the unloading record of their harvesting device at the unloading site) and software that allows processing the data obtained by the hardware device and crea... Mostrar Tudo |
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Palavras-Chave: |
World agricultural production; Yield maps. |
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Thesaurus Nal: |
Orchards. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146279/1/Yield-Mapping-in-Fruit-Farming.pdf
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Marc: |
LEADER 03008nam a2200217 a 4500
001 2146279
005 2022-09-08
008 2022 bl uuuu u00u1 u #d
100 1 $aBAZZI, L. C.
245 $aYield mapping in fruit farming.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 15., 2022, Minnesota, USA. Anais... Minnesota: ISPA, 26 a 29 june 2022.$c2022
520 $aDue to the importance of increasing the quantity and quality of world agricultural production, the use of technologies to assist in production processes is essential. Despite this, a timid adoption by precision agriculture (PA) technologies is verified by the Brazilian fruit producers, even though it is one of the segments that had been stood out in recent years in the country's economy. In the PA context, yield maps are rich sources of information, especially by species harvested through machines, where the measurement of volumes harvested at georeferenced points is easier, allowing the generation of yield maps. In orchards intended for fresh fruit market, it is more difficult to generate yield data/maps, since it is linked to the volume harvested manually and, more importantly, to the quality of the fruit. One factor that makes it difficult to measure yield is that the harvest is done at different times because to maintain their quality, the fruits of an area are only when they reach the stipulated maturity point. To construct a system that permits of contemplating the complexity of the manual fruit harvesting processes, this paper aims to present a system that allows the yield mapping of hand-harvested orchards. The system is comprised of hardware components (intended to obtain the location of the harvester as well as the unloading record of their harvesting device at the unloading site) and software that allows processing the data obtained by the hardware device and create a mapped environment from which fruits were harvested, allowing the construction of yield maps. In addition to the yield maps, the system allows identifying the yield level of each worker performing the harvest by the number of discharges performed and the time spent. The system has been developed in partnership between the Federal Technological University of Paraná and Embrapa Grape & Wine and has been tested in apple orchards in southern Brazil. The system is expected to positively impact the sector by enabling monitoring of the quality and quantity of fruit from the orchards and providing more appropriate management aiming at the stability of the field production. Although tested only in apple cultivation, the system is promising for other segments of fruit growing, such as the production of pears, orange, fig, among others.
650 $aOrchards
653 $aWorld agricultural production
653 $aYield maps
700 1 $aMARTINS, R. M.
700 1 $aGEBLER, L.
700 1 $aSOUZA, G. E.
700 1 $aSCHENATTO, K.
700 1 $aSOBJAK, R.
700 1 $aHACHISUCA, A. M. M.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agropecuária Oeste; Embrapa Soja. |
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Data corrente: |
22/11/2016 |
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Data da última atualização: |
13/12/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ORMEÑO-ORRILLO, E.; GOMES, D. F.; CERRO, P. del; VASCONCELOS, A. T. R.; CANCHAYA, C.; ALMEIDA, L. G. P.; MERCANTE, F. M.; JAVIER OLLERO, F.; MEGÍAS, M.; HUNGRIA, M. |
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Afiliação: |
ERNESTO ORMEÑO-ORRILLO, Universidad Nacional Agraria La Molina; DOUGLAS FABIANO GOMES, CAPES; PABLO DEL CERRO, Universidad de Sevilla; ANA TEREZA RIBEIRO VASCONCELOS, LNCC; CARLOS CANCHAYA, University of Vigo; LUIZ GONZAGA PAULA ALMEIDA, LNCC; FABIO MARTINS MERCANTE, CPAO; FRANCISCO JAVIER OLLERO, Universidad de Sevilla; MANUEL MEGÍAS, Universidad de Sevilla; MARIANGELA HUNGRIA DA CUNHA, CNPSO. |
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Título: |
Genome of Rhizobium leucaenae strains CFN 299T and CPAO 29.8: searching for genes related to a successful symbiotic performance under stressful conditions. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
BMC Genomics, v. 17, n. 534, 2016. |
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DOI: |
10.1186/s12864-016-2859-z |
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Idioma: |
Português |
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Conteúdo: |
Common bean (Phaseolus vulgaris L.) is the most important legume cropped worldwide for food production and its agronomic performance can be greatly improved if the benefits from symbiotic nitrogen fixation are maximized. The legume is known for its high promiscuity in nodulating with several Rhizobium species, but those belonging to the Rhizobium tropici ?group? are the most successful and efficient in fixing nitrogen in tropical acid soils. Rhizobium leucaenae belongs to this group, which is abundant in the Brazilian ?Cerrados? soils and frequently submitted to several environmental stresses. Here we present the first high-quality genome drafts of R. leucaenae, including the type strain CFN 299T and the very efficient strain CPAO 29.8. Our main objective was to identify features that explain the successful capacity of R. leucaenae in nodulating common bean under stressful environmental conditions. The genomes of R. leucaenae strains CFN 299T and CPAO 29.8 were estimated at 6.7?6.8 Mbp; 7015 and 6899 coding sequences (CDS) were predicted, respectively, 6264 of which are common to both strains. The genomes of both strains present a large number of CDS that may confer tolerance of high temperatures, acid soils, salinity and water deficiency. Types I, II, IV-pili, IV and V secretion systems were present in both strains and might help soil and host colonization as well as the symbiotic performance under stressful conditions. The symbiotic plasmid of CPAO 29.8 is highly similar to already described tropici pSyms, including five copies of nodD and three of nodA genes. R. leucaenae CFN 299T is capable of synthesizing Nod factors in the absence of flavonoids when submitted to osmotic stress, indicating that under abiotic stress the regulation of nod genes might be different.
A detailed study of the genes putatively related to stress tolerance in R. leucaenae highlighted an intricate pattern comprising a variety of mechanisms that are probably orchestrated to tolerate the stressful conditions to which the strains are submitted on a daily basis. The capacity to synthesize Nod factors under abiotic stress might follow the same regulatory pathways as in CIAT 899T and may help both to improve bacterial survival and to expand host range to guarantee the perpetuation of the symbiosis. MenosCommon bean (Phaseolus vulgaris L.) is the most important legume cropped worldwide for food production and its agronomic performance can be greatly improved if the benefits from symbiotic nitrogen fixation are maximized. The legume is known for its high promiscuity in nodulating with several Rhizobium species, but those belonging to the Rhizobium tropici ?group? are the most successful and efficient in fixing nitrogen in tropical acid soils. Rhizobium leucaenae belongs to this group, which is abundant in the Brazilian ?Cerrados? soils and frequently submitted to several environmental stresses. Here we present the first high-quality genome drafts of R. leucaenae, including the type strain CFN 299T and the very efficient strain CPAO 29.8. Our main objective was to identify features that explain the successful capacity of R. leucaenae in nodulating common bean under stressful environmental conditions. The genomes of R. leucaenae strains CFN 299T and CPAO 29.8 were estimated at 6.7?6.8 Mbp; 7015 and 6899 coding sequences (CDS) were predicted, respectively, 6264 of which are common to both strains. The genomes of both strains present a large number of CDS that may confer tolerance of high temperatures, acid soils, salinity and water deficiency. Types I, II, IV-pili, IV and V secretion systems were present in both strains and might help soil and host colonization as well as the symbiotic performance under stressful conditions. The symbiotic plasmid of CPAO 29.8 is highly similar t... Mostrar Tudo |
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Palavras-Chave: |
Fixação biológica de nitrogênio. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/150393/1/2016OrmenoOrrilloetalBMCGenomics.pdf
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Marc: |
LEADER 03133naa a2200253 a 4500
001 2058569
005 2016-12-13
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-016-2859-z$2DOI
100 1 $aORMEÑO-ORRILLO, E.
245 $aGenome of Rhizobium leucaenae strains CFN 299T and CPAO 29.8$bsearching for genes related to a successful symbiotic performance under stressful conditions.$h[electronic resource]
260 $c2016
520 $aCommon bean (Phaseolus vulgaris L.) is the most important legume cropped worldwide for food production and its agronomic performance can be greatly improved if the benefits from symbiotic nitrogen fixation are maximized. The legume is known for its high promiscuity in nodulating with several Rhizobium species, but those belonging to the Rhizobium tropici ?group? are the most successful and efficient in fixing nitrogen in tropical acid soils. Rhizobium leucaenae belongs to this group, which is abundant in the Brazilian ?Cerrados? soils and frequently submitted to several environmental stresses. Here we present the first high-quality genome drafts of R. leucaenae, including the type strain CFN 299T and the very efficient strain CPAO 29.8. Our main objective was to identify features that explain the successful capacity of R. leucaenae in nodulating common bean under stressful environmental conditions. The genomes of R. leucaenae strains CFN 299T and CPAO 29.8 were estimated at 6.7?6.8 Mbp; 7015 and 6899 coding sequences (CDS) were predicted, respectively, 6264 of which are common to both strains. The genomes of both strains present a large number of CDS that may confer tolerance of high temperatures, acid soils, salinity and water deficiency. Types I, II, IV-pili, IV and V secretion systems were present in both strains and might help soil and host colonization as well as the symbiotic performance under stressful conditions. The symbiotic plasmid of CPAO 29.8 is highly similar to already described tropici pSyms, including five copies of nodD and three of nodA genes. R. leucaenae CFN 299T is capable of synthesizing Nod factors in the absence of flavonoids when submitted to osmotic stress, indicating that under abiotic stress the regulation of nod genes might be different. A detailed study of the genes putatively related to stress tolerance in R. leucaenae highlighted an intricate pattern comprising a variety of mechanisms that are probably orchestrated to tolerate the stressful conditions to which the strains are submitted on a daily basis. The capacity to synthesize Nod factors under abiotic stress might follow the same regulatory pathways as in CIAT 899T and may help both to improve bacterial survival and to expand host range to guarantee the perpetuation of the symbiosis.
653 $aFixação biológica de nitrogênio
700 1 $aGOMES, D. F.
700 1 $aCERRO, P. del
700 1 $aVASCONCELOS, A. T. R.
700 1 $aCANCHAYA, C.
700 1 $aALMEIDA, L. G. P.
700 1 $aMERCANTE, F. M.
700 1 $aJAVIER OLLERO, F.
700 1 $aMEGÍAS, M.
700 1 $aHUNGRIA, M.
773 $tBMC Genomics$gv. 17, n. 534, 2016.
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Embrapa Agropecuária Oeste (CPAO) |
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