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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
18/02/2016 |
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Data da última atualização: |
13/09/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FAGERIA, N. K.; SANTOS, A. B. dos. |
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Afiliação: |
NAND KUMAR FAGERIA, CNPAF; ALBERTO BAETA DOS SANTOS, CNPAF. |
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Título: |
Agronomic evaluation of lowland rice genotypes for potassium-use efficiency. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Communications in Soil Science and Plant Analysis, New York, v. 46, n. 11, p. 1327-1344, 2015. |
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DOI: |
10.1080/00103624.2015.1033535 |
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Idioma: |
Inglês |
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Conteúdo: |
Lowland rice is an important crop for humans, and information on potassium (K)?use efficiency for this crop is limited. A greenhouse experiment was conducted to evaluate agronomic characteristics of 12 lowland rice genotypes for K utilization. The K levels used were 0 mg kg−1 (low, natural level of soil) and 300 mg kg−1 (high). Plant height, straw yield, grain yield, panicle number, grain harvest index, 1000-grain weight, and spikelet sterility were significantly affected by K and genotypes treatments. The K × genotype interactions were significant for most of these growth, yield, and yield components, indicating that genotypes responded differently under two K rates. Furthermore, selection is possible for low as well as high K rates for lowland rice genotypes. Contribution of growth and yield components and agronomic efficiency in improving grain yield was in the order of agronomic efficiency > grain harvest index> 1000-grain weight > panicle number > shoot dry weight. There was significant decrease in soil K at harvest at low as well as at high K levels, indicating greater K requirements for lowland rice genotypes. Further, rice genotypes were significantly different in uptake and utilization of P, K, Al, and H+Al, as indicated by soil analysis at harvest. |
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Thesagro: |
Arroz; Genótipo; Oryza sativa; Potássio; Raíz. |
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Thesaurus Nal: |
Grain yield; Rice; Roots; Yield components. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02031naa a2200253 a 4500
001 2037507
005 2019-09-13
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1080/00103624.2015.1033535$2DOI
100 1 $aFAGERIA, N. K.
245 $aAgronomic evaluation of lowland rice genotypes for potassium-use efficiency.$h[electronic resource]
260 $c2015
520 $aLowland rice is an important crop for humans, and information on potassium (K)?use efficiency for this crop is limited. A greenhouse experiment was conducted to evaluate agronomic characteristics of 12 lowland rice genotypes for K utilization. The K levels used were 0 mg kg−1 (low, natural level of soil) and 300 mg kg−1 (high). Plant height, straw yield, grain yield, panicle number, grain harvest index, 1000-grain weight, and spikelet sterility were significantly affected by K and genotypes treatments. The K × genotype interactions were significant for most of these growth, yield, and yield components, indicating that genotypes responded differently under two K rates. Furthermore, selection is possible for low as well as high K rates for lowland rice genotypes. Contribution of growth and yield components and agronomic efficiency in improving grain yield was in the order of agronomic efficiency > grain harvest index> 1000-grain weight > panicle number > shoot dry weight. There was significant decrease in soil K at harvest at low as well as at high K levels, indicating greater K requirements for lowland rice genotypes. Further, rice genotypes were significantly different in uptake and utilization of P, K, Al, and H+Al, as indicated by soil analysis at harvest.
650 $aGrain yield
650 $aRice
650 $aRoots
650 $aYield components
650 $aArroz
650 $aGenótipo
650 $aOryza sativa
650 $aPotássio
650 $aRaíz
700 1 $aSANTOS, A. B. dos
773 $tCommunications in Soil Science and Plant Analysis, New York$gv. 46, n. 11, p. 1327-1344, 2015.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| Registros recuperados : 3 | |
| 1. |  | PAPA, D. de A.; FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; RODRIGUEZ, L. C. E.; CAMARGO, A. P.; PRATA, G. A.; AMARAL, L. G. de C.; LARANJA, D. C. F. Uso do LiDAR no manejo florestal. Rio Branco, AC: Embrapa Acre, 2017. 1 folder.| Tipo: Folder/Folheto/Cartilha |
| Biblioteca(s): Embrapa Acre. |
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| 2. | | OLIVEIRA, M. V. N. d'; BROADBENT, E. N.; OLIVEIRA, L. C. de; ALMEIDA, D. R. A.; PAPA, D. de A.; FERREIRA, M. E.; ZAMBRANO, A. M. A.; SILVA, C. A.; AVINO, F. S.; PRATA, G. A.; MELLO, R. A.; FIGUEIREDO, E. O.; JORGE, L. A. de C.; JUNIOR, L.; ALBUQUERQUE, R. W.; BRANCALION, P. H. S.; WILKINSON, B.; COSTA, M. O. da. Aboveground biomass estimation in Amazonian Tropical Forests: a comparison of aircraft- and GatorEye UAV- borne LiDAR data in the Chico Mendes Extractive Reserve in Acre, Brazil. Remote Sensing, v. 12, n. 11, 1754, May 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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| 3. | | ALMEIDA, D. R. A. de; BROADBENT, E. N.; FERREIRA, M. P.; MELI, P.; ZAMBRANO, A. M. A.; GORGENS, E. B.; RESENDE, A. F.; ALMEIDA, C. T. de; AMARAL, C. R. do; CORTE, A. P. D.; SILVA, C. A.; ROMANELLI, J. P.; PRATA, G. A.; PAPA, D. de A.; STARK, S. C.; VALBUENA, R.; NELSON, B. W.; GUILLEMOT, J.; FÉRET, J. B.; CHAZDON, R.; BRANCALION, P. H. S. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. Remote Sensing of Environment, v. 264, 112582, Oct. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 3 | |
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