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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Agropecuária Oeste; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Rondônia; Embrapa Roraima; Embrapa Tabuleiros Costeiros; Embrapa Unidades Centrais. MenosEmbrapa Agrobiologia; Embrapa Agropecuária Oeste; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Rondônia; Embrapa Roraima... Mostrar Todas |
Data corrente: |
19/09/1995 |
Data da última atualização: |
12/07/2011 |
Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
Autoria: |
GONCALVES, C. A.; MEDEIROS, J. da C.; OLIVEIRA, J. R. da C. |
Título: |
Introducao e avaliacao de gramineas e leguminosas forrageiras em Rondonia. |
Ano de publicação: |
1982 |
Fonte/Imprenta: |
Porto Velho: EMBRAPA-UEPAE Porto Velho, 1982. |
Páginas: |
35p. |
Série: |
(EMBRAPA-UEPAE Porto Velho. Boletim de Pesquisa, 1). |
ISSN: |
0101-6431 |
Idioma: |
Português |
Conteúdo: |
Quinze gramineas e quinze leguminosas foram avaliadas com e sem adubacao fosfatada em Ji-Parana e Porto Velho, Rondonia, no periodo de maio de 1977 a dezembro de 1980, a fim de determinar sua adaptacao as condicoes locais de clima e solo. Foram medidos os teores de proteina bruta, calcio, fosforo e a producao de materia seca e forragem. As gramineas mais promissoras em ambos os locais foram: Quicuio da Amazonia (Bruchiaria humidicola) e Gramalote (Axonopus sp), juntamente com o Sempre Verde (Panicum maximum, cv gongyloides) e Setaria sphacelata cv Kazungula em Porto Velho e Pasto Negro (Paspalum plicatulum) em Ji-Parana. Entre as leguminosas a Pueraria phaseoloides e Centrosema pubescens cv IRI-1282 nos dois locais e Leucaena leucocephala e Desmodiumintortun em Ji-Parana, foram as mais promissoras. |
Palavras-Chave: |
Avaliacao; Brasil; Conteudo de materia seca; EMBRAPA; Evaluation; Feed grasses; Feed legumes; Fodder; Forage grass; Forrageira; Forrageiras; Gramineas; Grass; Grude protein; Introdução; Introduction; Leguminosas; Leguminosas forrageiras; Leguminous plant; Pasture; Plant introduction; Planta graminea; Planta leguminosa; Plantas gramíneas; Porto Velho; Rondonia; UEPAE; Valuation. |
Thesagro: |
Gramínea; Gramínea Forrageira; Introdução de Planta; Legume; Leguminosa; Leguminosa Forrageira; Leguminosae; Matéria Seca; Pastagem; Produção; Proteína Bruta. |
Thesaurus Nal: |
Amazonia; Brazil; dry matter content; forage; grasses. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23944/1/01-set82-2.pdf
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Marc: |
LEADER 02588nam a2200697 a 4500 001 1697943 005 2011-07-12 008 1982 bl uuuu u0uu1 u #d 022 $a0101-6431 100 1 $aGONCALVES, C. A. 245 $aIntroducao e avaliacao de gramineas e leguminosas forrageiras em Rondonia. 260 $aPorto Velho: EMBRAPA-UEPAE Porto Velho$c1982 300 $a35p. 490 $a(EMBRAPA-UEPAE Porto Velho. Boletim de Pesquisa, 1). 520 $aQuinze gramineas e quinze leguminosas foram avaliadas com e sem adubacao fosfatada em Ji-Parana e Porto Velho, Rondonia, no periodo de maio de 1977 a dezembro de 1980, a fim de determinar sua adaptacao as condicoes locais de clima e solo. Foram medidos os teores de proteina bruta, calcio, fosforo e a producao de materia seca e forragem. As gramineas mais promissoras em ambos os locais foram: Quicuio da Amazonia (Bruchiaria humidicola) e Gramalote (Axonopus sp), juntamente com o Sempre Verde (Panicum maximum, cv gongyloides) e Setaria sphacelata cv Kazungula em Porto Velho e Pasto Negro (Paspalum plicatulum) em Ji-Parana. Entre as leguminosas a Pueraria phaseoloides e Centrosema pubescens cv IRI-1282 nos dois locais e Leucaena leucocephala e Desmodiumintortun em Ji-Parana, foram as mais promissoras. 650 $aAmazonia 650 $aBrazil 650 $adry matter content 650 $aforage 650 $agrasses 650 $aGramínea 650 $aGramínea Forrageira 650 $aIntrodução de Planta 650 $aLegume 650 $aLeguminosa 650 $aLeguminosa Forrageira 650 $aLeguminosae 650 $aMatéria Seca 650 $aPastagem 650 $aProdução 650 $aProteína Bruta 653 $aAvaliacao 653 $aBrasil 653 $aConteudo de materia seca 653 $aEMBRAPA 653 $aEvaluation 653 $aFeed grasses 653 $aFeed legumes 653 $aFodder 653 $aForage grass 653 $aForrageira 653 $aForrageiras 653 $aGramineas 653 $aGrass 653 $aGrude protein 653 $aIntrodução 653 $aIntroduction 653 $aLeguminosas 653 $aLeguminosas forrageiras 653 $aLeguminous plant 653 $aPasture 653 $aPlant introduction 653 $aPlanta graminea 653 $aPlanta leguminosa 653 $aPlantas gramíneas 653 $aPorto Velho 653 $aRondonia 653 $aUEPAE 653 $aValuation 700 1 $aMEDEIROS, J. da C. 700 1 $aOLIVEIRA, J. R. da C.
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Registro original: |
Embrapa Rondônia (CPAF-RO) |
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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
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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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