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Registros recuperados : 176 | |
101. | | BARROS, B. de A.; MITRE, L. K.; PINTO, M. de O.; MAGALHAES, J. V. de; GUIMARAES, L. J. M.; GUIMARAES, C. T. Marcador alelo-específico associado com níveis de expressão do gene ZmMATE1 em milho. In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016. Biblioteca(s): Embrapa Milho e Sorgo. |
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103. | | MENDES, G. S. B.; COSTA, M. B. de R.; BARROS, B. de A.; PINTO, M. de O.; MAGALHAES, J. V. de; GUIMARÃES, C. T. Mapping new ZmMATE1 allele and genomic regions associated with aluminum tolerance in maize. In: BRAZILIAN CONGRESS OF GENETICS, 68., 2023, Ouro Preto. Paleogenomics: sequencing ancient DNA. Ribeirão Preto: Sociedade Brasileira de Genética, 2023. p. 401. Biblioteca(s): Embrapa Milho e Sorgo. |
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104. | | Ribeiro, A. P.; Martins, P. K.; DIAS, B. B. A.; ANDRADE, A. C.; MAGALHAES, J. V. de; KOBAYASHI, A. K.; MOLINARI, H. B. C. MATE: a promising gene for aluminum tolerance in sugarcane. In: GERMPLASM AND BREEDING, 11.; MOLECULAR BIOLOGY ISSCT WORKSHOP, 8., 2015, Saint-Gilles Réunion Island. Pushing the frontiers of sugarcane improvement: abstract. [S.l]: Ercane, 2015. Biblioteca(s): Embrapa Agroenergia. |
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105. | | LIU, J.; MAGALHAES, J. V. de; GUIMARAES, C. T.; LANA, U. G. de P.; HOEKENGA, O.; SHAFF, J.; PINEROS, M.; WANG, Y.; SCHAFFERT, R. E.; KOCHIAN, L. Molecular cloning and characterization of AltSB, a major aluminum tolerance gene in sorghum. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 15., 2007, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2007. Biblioteca(s): Embrapa Milho e Sorgo. |
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106. | | RAPOSERIRAS, R.; SOUZA, I. R. P. de; MAGALHAES, J. V. de; GUIMARAES, C. T.; MARRIEL, I. E.; SCHAFFERT, R. E.; ALVES, V. M. C. Mucilage production and differential tolerance to aluminum toxicity in maize (Zea mays L.). In: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 15., 2005, Beijing, China. Proceedings... Beijing: Tsinghua University, 2005. p. 736-737. Biblioteca(s): Embrapa Milho e Sorgo. |
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108. | | MAGALHAES, J. V. de; ALVES, V. M. C.; NOVAIS, R. F. de; MOSQUIM, P. R.; MAGALHAES, J. R.; BAHIA FILHO, A. F. C.; HUBER, D. M. Nitrate uptake by corn under increasing periods of phosphorus starvation. Journal of Plant Nutrition, New York, v.21, n.8, p. 1753-1763, 1998. Biblioteca(s): Embrapa Milho e Sorgo. |
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109. | | BARROS, V.; CHANDNANI, R.; SOUSA, S. M. de; MACIEL, L. S.; TOKIZAWA, M.; GUIMARÃES, C. T.; MAGALHAES, J. V. de; KOCHIAN, L. Root adaptation via common genetic factors conditioning tolerance to multiple stresses for crops cultivated on acidic tropical soils. Frontiers in Plant Science, v. 11, article 565339, 2020. Biblioteca(s): Embrapa Milho e Sorgo. |
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110. | | SANTANA, P. A.; PINTO, M. de O.; SANTOS, C. V. dos; MENEZES, C. B. de; MAGALHAES, J. V. de; SCHAFFERT, R. E. Seleção assistida por marcadores moleculares para o desenvolvimento de sorgo sacarino tolerante ao alumínio. In: CONGRESSO NACIONAL DE MILHO E SORGO, 30.; SIMPÓSIO SOBRE LEPDÓPTEROS COMUNS A MILHO, SOJA E ALGODÃO, 1., 2014, Salvador. Eficiência nas cadeias produtivas e o abastecimento global: resumos expandidos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2014. 1 CD-ROM. Biblioteca(s): Embrapa Milho e Sorgo. |
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111. | | RAPOSEIRAS, R.; ALVES, V. M. C.; SOUZA, I. R. P.; MAGALHAES, J. V. de; GUIMARAES, C. T.; MARRIEL, I. E.; SCHAFFERT, R. E. Produção mucilagem e tolerância diferencial ao alumínio em milho. In: CONGRESSO NACIONAL DE MILHO E SORGO, 25.; SIMPOSIO BRASILEIRO SOBRE A LAGARTA-DO-CARTUCHO, SPODOPTERA FRUGIPERDA, 1., 2004, Cuiabá, MT. Da agricultura familiar ao agronegócio: tecnologia, competitividade e sustentabilidade: [resumos expandidos]. Sete Lagoas: ABMS: Embrapa Milho e Sorgo; Cuiabá: Empaer, 2004. 1 CD-ROM. Biblioteca(s): Embrapa Milho e Sorgo. |
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112. | | PORTALUPPI, R.; BRAMMER, S. P.; MAGALHAES, J. V. de; COSTA, C. T. da; CAIERÃO, E.; NASCIMENTO JUNIOR, A. do; SILVA JUNIOR, J. P. da. Tolerância de genótipos de cereais de inverno ao alumínio em cultivo hidropônico e em campo. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 2, p. 178-185, fev. 2010. Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Trigo; Embrapa Unidades Centrais. |
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113. | | ALVES, V. M. C.; PITTA, G. V. E.; PARENTONI, S. N.; SCHAFFERT, R. E.; COELHO, A. M.; MAGALHAES, J. V. de. Toxidez por alumínio e hidrogênio no crescimento de raízes de milho. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 3, n. 2, p. 311-318, 2004. Biblioteca(s): Embrapa Milho e Sorgo. |
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114. | | CARNEIRO, A. A.; BRANDÃO, R. L.; COELHO, G. T. P. C.; SCHAFFERT, R. E.; MAGALHAES, J. V. de; SILVA, L. R.; CARNEIRO, N. P. Transformação genética de sorgo com gene de tolerância ao alumínio ALMT1 isolado de trigo. In: CONGRESSO NACIONAL DE MILHO E SORGO, 27.; SIMPOSIO BRASILEIRO SOBRE A LAGARTA-DO-CARTUCHO, SPODOPTERA FRUGIPERDA, 3.; WORKSHOP SOBRE MANEJO E ETIOLOGIA DA MANCHA BRANCA DO MILHO, 2008, Londrina. Agroenergia, produção de alimentos e mudanças climáticas: desafios para milho e sorgo: trabalhos e palestras. [Londrina]: IAPAR; [Sete Lagoas]: Embrapa Milho e Sorgo, 2008. 1 CD-ROM. Biblioteca(s): Embrapa Milho e Sorgo. |
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115. | | VALICENTE, F. H.; CARNEIRO, N. P.; UTIDA, R. H.; GUIMARAES, C. T.; MAGALHAES, J. V. de; PAIVA, E.; CARNEIRO, A. A. Transformation of maize Elite lines with cry1ca of Bacillus thuringiensis to control Spodoptera frugiperda. In: PACIFIC RIM CONFERENCE ON BIOTECHNOLOGY OF BACILLUS THURINGIENSIS AND ITS ENVIRONMENT IMPACT, 6., 2005, Victoria. Proceedings. Victoria: Biocontrol Network of Canada: Réseau Biocontrôle du Canada, 2007. p. 81-83. Biblioteca(s): Embrapa Milho e Sorgo. |
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116. | | XAVIER, N. G.; SIMEONE, M. L. F.; QUEIROZ, V. A. V.; SILVA, C. B. da; MAGALHAES, J. V. de; PASTINA, M. M. Using multispectral images to assess bioactive compounds in sorghum. In: INTERNATIONAL WORKSHOP ON HYPERSPECTRAL IMAGING, 1., 2021, Campinas. Resumos. Campinas: Universidade Estadual de Campinas, 2021. Biblioteca(s): Embrapa Milho e Sorgo. |
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117. | | VASCONCELOS, M. J. V. de; PARENTONI, S. N.; COELHO, A. M.; GUIMARAES, C. T.; MAGALHAES, J. V. de; ALVES, V. M. C.; SCHAFFERT, R. E.; MARRIEL, I. E.; GOMES, E. A. Abordagem genética, fisiológica e molecular no sistema solo-planta para a eficiência no uso de fósforo. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 1., 2008, Brasília, DF. Resumos... Brasília, DF: Embrapa, 2008. Biblioteca(s): Embrapa Milho e Sorgo. |
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118. | | CHANDNANI, R.; QIN, T.; YE, H.; HU, H.; PANJVANI, K.; TOKIZAWA, M.; MACIAS, J. M.; MEDINA, A. A.; BERNARDINO, K. C.; PRADIER, P.-L.; BANIK, P.; MOONEY, A.; MAGALHAES, J. V. de; NGUYEN, H. T.; KOCHIAN, L. V. Application of an improved 2-dimensional high-throughput soybean root phenotyping platform to identify novel genetic variants regulating root architecture traits. Plant Phenomics, v. 5, article 97, 2023. Biblioteca(s): Embrapa Milho e Sorgo. |
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119. | | MAGALHAES, J. V. de; WANG, Y.; KLEIN, P. E.; GUIMARAES, C. T.; LANA, U. G. de P.; SCHAFFERT, R. E.; ALVES, V. M. C.; HOEKENGA, O. A.; CARNEIRO, N. P.; CARNEIRO, A. A.; KOCHIAN, L. V. Clonagem do principal gene de tolerância ao alumínio em sorgo e sua exploração no aumento da produção de grãos em solos ácidos. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 1., 2008, Brasília, DF. Resumos... Brasília, DF: Embrapa, 2008. Biblioteca(s): Embrapa Milho e Sorgo. |
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120. | | RIBEIRO, C. A. G.; SOUSA, S. M. de; SOUZA, V. F. de; NEGRI, B. F.; GAULT, C. M.; PASTINA, M. M.; MAGALHAES, J. V. de; GUIMARAES, L. J. M.; BARROS, E. G. de; BUCKLER. E. S.; GUIMARÃES, C. T. Genome-wide association study for root morphology and phosphorus acquisition efficiency in diverse maize panels. International Journal of Molecular Sciences, v. 24, n. 7, 6233, 2023. Biblioteca(s): Embrapa Milho e Sorgo. |
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Registros recuperados : 176 | |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
05/10/2023 |
Data da última atualização: |
09/10/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CHANDNANI, R.; QIN, T.; YE, H.; HU, H.; PANJVANI, K.; TOKIZAWA, M.; MACIAS, J. M.; MEDINA, A. A.; BERNARDINO, K. C.; PRADIER, P.-L.; BANIK, P.; MOONEY, A.; MAGALHAES, J. V. de; NGUYEN, H. T.; KOCHIAN, L. V. |
Afiliação: |
RAHUL CHANDNANI, UNIVERSITY OF SASKATCHEWAN; TONGFEI QIN, UNIVERSITY OF SASKATCHEWAN; HENG YE, UNIVERSITY OF MISSOURI; HAIFEI HU, UNIVERSITY OF WESTERN AUSTRALIA; KARIM PANJVANI, UNIVERSITY OF SASKATCHEWAN; MUTSUTOMO TOKIZAWA, UNIVERSITY OF SASKATCHEWAN; JAVIER MORA MACIAS, UNIVERSITY OF SASKATCHEWAN; ALMA ARMENTA MEDINA, UNIVERSITY OF SASKATCHEWAN; KARINE C. BERNARDINO; PIERRE-LUC PRADIER UNIVERSITY OF SASKATCHEWAN, UNIVERSITY OF SASKATCHEWAN; PANKAJ BANIK, UNIVERSITY OF SASKATCHEWAN; ASHLYN MOONEY, UNIVERSITY OF SASKATCHEWAN; JURANDIR VIEIRA DE MAGALHAES, CNPMS; HENRY T. NGUYEN, UNIVERSITY OF MISSOURI; LEON V. KOCHIAN, UNIVERSITY OF SASKATCHEWAN. |
Título: |
Application of an improved 2-dimensional high-throughput soybean root phenotyping platform to identify novel genetic variants regulating root architecture traits. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Plant Phenomics, v. 5, article 97, 2023. |
DOI: |
https://doi.org/10.34133/plantphenomics.0097 |
Idioma: |
Inglês |
Conteúdo: |
Nutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency. Genetic variants shaping soybean RSA is key in improving nutrient and water acquisition. Here, we report on the use of an improved 2-dimensional high-throughput root phenotyping platform that minimizes background noise by imaging pouch-grown root systems submerged in water. We also developed a background image cleaning Python pipeline that computationally removes images of small pieces of debris and filter paper fibers, which can be erroneously quantified as root tips. This platform was used to phenotype root traits in 286 soybean lines genotyped with 5.4 million single-nucleotide polymorphisms. There was a substantially higher correlation in manually counted number of root tips with computationally quantified root tips (95% correlation), when the background was cleaned of nonroot materials compared to root images without the background corrected (79%). Improvements in our RSA phenotyping pipeline significantly reduced overestimation of the root traits influenced by the number of root tips. Genome-wide association studies conducted on the root phenotypic data and quantitative gene expression analysis of candidate genes resulted in the identification of 3 putative positive regulators of root system depth, total root length and surface area, and root system volume and surface area of thicker roots (DOF1-like zinc finger transcription factor, protein of unknown function, and C2H2 zinc finger protein). We also identified a putative negative regulator (gibberellin 20 oxidase 3) of the total number of lateral roots. MenosNutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency. Genetic variants shaping soybean RSA is key in improving nutrient and water acquisition. Here, we report on the use of an improved 2-dimensional high-throughput root phenotyping platform that minimizes background noise by imaging pouch-grown root systems submerged in water. We also developed a background image cleaning Python pipeline that computationally removes images of small pieces of debris and filter paper fibers, which can be erroneously quantified as root tips. This platform was used to phenotype root traits in 286 soybean lines genotyped with 5.4 million single-nucleotide polymorphisms. There was a substantially higher correlation in manually counted number of root tips with computationally quantified root tips (95% correlation), when the background was cleaned of nonroot materials compared to root images without the background corrected (79%). Improvements in our RSA phenotyping pipeline significantly reduced overestimation of the root traits influenced by the number of root tips. Genome-wide association studies conducted on the root phenotypic data and quantitative gene expression analysis of candidate genes resulted in the identification of 3 putative positive regulators of root system depth, total root length and surface area, and root system volume and surface area of thicker roots (... Mostrar Tudo |
Thesagro: |
Genética Vegetal; Raiz; Seleção Fenótipa; Soja. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157100/1/Application-of-an-improved-2-dimensional-high-throughput-soybean-root.pdf
|
Marc: |
LEADER 02746naa a2200349 a 4500 001 2157100 005 2023-10-09 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.34133/plantphenomics.0097$2DOI 100 1 $aCHANDNANI, R. 245 $aApplication of an improved 2-dimensional high-throughput soybean root phenotyping platform to identify novel genetic variants regulating root architecture traits.$h[electronic resource] 260 $c2023 520 $aNutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency. Genetic variants shaping soybean RSA is key in improving nutrient and water acquisition. Here, we report on the use of an improved 2-dimensional high-throughput root phenotyping platform that minimizes background noise by imaging pouch-grown root systems submerged in water. We also developed a background image cleaning Python pipeline that computationally removes images of small pieces of debris and filter paper fibers, which can be erroneously quantified as root tips. This platform was used to phenotype root traits in 286 soybean lines genotyped with 5.4 million single-nucleotide polymorphisms. There was a substantially higher correlation in manually counted number of root tips with computationally quantified root tips (95% correlation), when the background was cleaned of nonroot materials compared to root images without the background corrected (79%). Improvements in our RSA phenotyping pipeline significantly reduced overestimation of the root traits influenced by the number of root tips. Genome-wide association studies conducted on the root phenotypic data and quantitative gene expression analysis of candidate genes resulted in the identification of 3 putative positive regulators of root system depth, total root length and surface area, and root system volume and surface area of thicker roots (DOF1-like zinc finger transcription factor, protein of unknown function, and C2H2 zinc finger protein). We also identified a putative negative regulator (gibberellin 20 oxidase 3) of the total number of lateral roots. 650 $aGenética Vegetal 650 $aRaiz 650 $aSeleção Fenótipa 650 $aSoja 700 1 $aQIN, T. 700 1 $aYE, H. 700 1 $aHU, H. 700 1 $aPANJVANI, K. 700 1 $aTOKIZAWA, M. 700 1 $aMACIAS, J. M. 700 1 $aMEDINA, A. A. 700 1 $aBERNARDINO, K. C. 700 1 $aPRADIER, P.-L. 700 1 $aBANIK, P. 700 1 $aMOONEY, A. 700 1 $aMAGALHAES, J. V. de 700 1 $aNGUYEN, H. T. 700 1 $aKOCHIAN, L. V. 773 $tPlant Phenomics$gv. 5, article 97, 2023.
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Embrapa Milho e Sorgo (CNPMS) |
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