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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
20/07/2023 |
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Data da última atualização: |
20/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOBREIRA, A. M.; SIMOES, W. L.; NUNES, G. H. de S.; SILVEIRA, L. M. da; ANTONIO, R. P. |
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Afiliação: |
ALYSSON M. SOBREIRA, Universidade Federal Rural de Pernambuco, Serra Talhada, PE; WELSON LIMA SIMOES, CPATSA; GLAUBER H. DE S. NUNES, Universidade Federal Rural do Semi-Árido, Mossoró, RN; LINDOMAR M. DA SILVEIRA, Universidade Federal Rural do Semi-Árido, Mossoró, RN; RAFAELA PRISCILA ANTONIO, CPATSA. |
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Título: |
Water regimes on the development of accessions of the Manihot genus. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista Caatinga, v. 36, n. 3, p. 711-722, jul./set. 2023. |
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ISSN: |
1983-2125 |
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DOI: |
http://dx.doi.org/10.1590/1983-21252023v36n323rc |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this work was to select water deficit-tolerant accessions of the genus Manihot, through morphological characters under different water regimes. The experiment was conducted in a randomized block design, using a split-plot arrangement with plots consisting of tree water regimes (simulated rainfall and water depth of 100 and 20% crop evapotranspiration (ETc)), and subplots consisting of eight accessions of the genus Manihot(Gema-de-Ovo and Engana-Ladrão from the species M. esculenta Crantz, and BGMS-115, BGMS-110, BGMS-102, BGMS-79, BGMS-24, and BGMS-48 from Manihot sp.). The accessions were evaluated considering two crop cycles: the first had 120 and 60 days from the application of the treatments. Plant height, stem diameter, number of leaves, leaf lobe length and shoot dry mass production were evaluated. For each cropping cycle, a split-plot analysis of variance was performed. The highest genotypic means were expressed by the accessions BGMS-115, BGMS-102, BGMS-79 and BGMS-24 for most of the analyzed variables, regardless of the cultivation cycle. For the characteristic shoot dry mass production, accessions BGMS-102 and BGMS-79 showed the best performances under conditions of limited water regime (20% ETc), regardless of the cropping cycle. Accession BGMS-102 was also grouped in the group with the highest genotypic means, for this trait, in treatments with rain simulation and 100% ETc, in the first cycle, demonstrating that, under stress conditions, this accession is an option to tolerate low water precipitation and responds well when higher precipitation occurs. MenosThe objective of this work was to select water deficit-tolerant accessions of the genus Manihot, through morphological characters under different water regimes. The experiment was conducted in a randomized block design, using a split-plot arrangement with plots consisting of tree water regimes (simulated rainfall and water depth of 100 and 20% crop evapotranspiration (ETc)), and subplots consisting of eight accessions of the genus Manihot(Gema-de-Ovo and Engana-Ladrão from the species M. esculenta Crantz, and BGMS-115, BGMS-110, BGMS-102, BGMS-79, BGMS-24, and BGMS-48 from Manihot sp.). The accessions were evaluated considering two crop cycles: the first had 120 and 60 days from the application of the treatments. Plant height, stem diameter, number of leaves, leaf lobe length and shoot dry mass production were evaluated. For each cropping cycle, a split-plot analysis of variance was performed. The highest genotypic means were expressed by the accessions BGMS-115, BGMS-102, BGMS-79 and BGMS-24 for most of the analyzed variables, regardless of the cultivation cycle. For the characteristic shoot dry mass production, accessions BGMS-102 and BGMS-79 showed the best performances under conditions of limited water regime (20% ETc), regardless of the cropping cycle. Accession BGMS-102 was also grouped in the group with the highest genotypic means, for this trait, in treatments with rain simulation and 100% ETc, in the first cycle, demonstrating that, under stress conditions, this acc... Mostrar Tudo |
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Palavras-Chave: |
Gênero Manihot; Seleção de acessos; Semiárido; Tolerância ao déficit hídrico. |
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Thesagro: |
Mandioca; Manihot Esculenta; Morfologia Vegetal; Solo. |
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Thesaurus Nal: |
Manihot; Soil water deficit. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155070/1/Water-regimes-on-the-development-of-accessions-of-the-Manihot-genus-2023.pdf
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Marc: |
LEADER 02528naa a2200313 a 4500
001 2155070
005 2023-07-20
008 2023 bl uuuu u00u1 u #d
022 $a1983-2125
024 7 $ahttp://dx.doi.org/10.1590/1983-21252023v36n323rc$2DOI
100 1 $aSOBREIRA, A. M.
245 $aWater regimes on the development of accessions of the Manihot genus.$h[electronic resource]
260 $c2023
520 $aThe objective of this work was to select water deficit-tolerant accessions of the genus Manihot, through morphological characters under different water regimes. The experiment was conducted in a randomized block design, using a split-plot arrangement with plots consisting of tree water regimes (simulated rainfall and water depth of 100 and 20% crop evapotranspiration (ETc)), and subplots consisting of eight accessions of the genus Manihot(Gema-de-Ovo and Engana-Ladrão from the species M. esculenta Crantz, and BGMS-115, BGMS-110, BGMS-102, BGMS-79, BGMS-24, and BGMS-48 from Manihot sp.). The accessions were evaluated considering two crop cycles: the first had 120 and 60 days from the application of the treatments. Plant height, stem diameter, number of leaves, leaf lobe length and shoot dry mass production were evaluated. For each cropping cycle, a split-plot analysis of variance was performed. The highest genotypic means were expressed by the accessions BGMS-115, BGMS-102, BGMS-79 and BGMS-24 for most of the analyzed variables, regardless of the cultivation cycle. For the characteristic shoot dry mass production, accessions BGMS-102 and BGMS-79 showed the best performances under conditions of limited water regime (20% ETc), regardless of the cropping cycle. Accession BGMS-102 was also grouped in the group with the highest genotypic means, for this trait, in treatments with rain simulation and 100% ETc, in the first cycle, demonstrating that, under stress conditions, this accession is an option to tolerate low water precipitation and responds well when higher precipitation occurs.
650 $aManihot
650 $aSoil water deficit
650 $aMandioca
650 $aManihot Esculenta
650 $aMorfologia Vegetal
650 $aSolo
653 $aGênero Manihot
653 $aSeleção de acessos
653 $aSemiárido
653 $aTolerância ao déficit hídrico
700 1 $aSIMOES, W. L.
700 1 $aNUNES, G. H. de S.
700 1 $aSILVEIRA, L. M. da
700 1 $aANTONIO, R. P.
773 $tRevista Caatinga$gv. 36, n. 3, p. 711-722, jul./set. 2023.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
12/09/2023 |
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Data da última atualização: |
13/09/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTOS, G. A. dos; SANTOS, T. T. |
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Afiliação: |
GIOVANA ABE DOS SANTOS, UNIVERSIDADE ESTADUAL DE CAMPINAS; THIAGO TEIXEIRA SANTOS, CNPTIA. |
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Título: |
Detecção de pontos-chave em imagens aplicada à fenotipagem de milho. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 17., 2023, Campinas. Anais [...]. Campinas: Embrapa Territorial, 2023. |
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Páginas: |
12 p. |
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ISSN: |
2965-2812 |
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Idioma: |
Português |
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Notas: |
CIIC 2023. Nº 23604. |
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Conteúdo: |
O objetivo deste trabalho é auxiliar na fenotipagem de plantas de milho, um vegetal amplamente utilizado para diversas finalidades, desde a base de muitos alimentos humanos até para a criação de ração para animais. |
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Palavras-Chave: |
Aprendizado de máquina; Detecção de keypoint; Fenotipagem; Keypoint detection; Machine learning; Phenotyping; Redes neurais; Visão computacional. |
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Thesaurus NAL: |
Neural networks. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156635/1/RE23604-CIIC-2023.pdf
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Marc: |
LEADER 01069nam a2200265 a 4500
001 2156635
005 2023-09-13
008 2023 bl uuuu u00u1 u #d
022 $a2965-2812
100 1 $aSANTOS, G. A. dos
245 $aDetecção de pontos-chave em imagens aplicada à fenotipagem de milho.$h[electronic resource]
260 $aIn: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 17., 2023, Campinas. Anais [...]. Campinas: Embrapa Territorial$c2023
300 $a12 p.
500 $aCIIC 2023. Nº 23604.
520 $aO objetivo deste trabalho é auxiliar na fenotipagem de plantas de milho, um vegetal amplamente utilizado para diversas finalidades, desde a base de muitos alimentos humanos até para a criação de ração para animais.
650 $aNeural networks
653 $aAprendizado de máquina
653 $aDetecção de keypoint
653 $aFenotipagem
653 $aKeypoint detection
653 $aMachine learning
653 $aPhenotyping
653 $aRedes neurais
653 $aVisão computacional
700 1 $aSANTOS, T. T.
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Embrapa Agricultura Digital (CNPTIA) |
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