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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
10/01/2010 |
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Data da última atualização: |
23/08/2013 |
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Autoria: |
RUSSELL, J. S. |
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Título: |
Nitrogen fertilizer and wheat in a semi-arid environment. I. Effect on yield. |
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Ano de publicação: |
1967 |
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Fonte/Imprenta: |
Australian Journal of Experimental Agriculture and Animal Husbandry, Melbourne, v. 7, n. 28, p. 453-462, 1967. |
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Idioma: |
Inglês |
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Conteúdo: |
Response experiments with Gabo wheat at four rates of ammonium sulphate (0, 11.5, 23, and 46 lb N an acre) were carried out at a number of widely-spread locations in the cereal growing areas of South Australia during six seasons in the period 1956-61. Considerable variability in grain and grain + straw yield and in the observed response to nitrogen fertilizer was found. Season and site effects were marked and season-site interactions were also observed. The mean grain yield response was 8.7, 7.2, and 5.1 lb grain for each lb of nitrogen applied as fertilizer at the rates of 11.5, 23, and 46 lb N an acre. These mean values are lower than those reported for other more humid wheat growing areas, but there are conditions where response is at a comparable level. The main difficulty lies in predicting these situations. Several aspects of the use of nitrogen fertilizer in a semi-arid environment are discussed. |
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Thesagro: |
Nitrogênio; Trigo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01378naa a2200145 a 4500
001 1827308
005 2013-08-23
008 1967 bl --- 0-- u #d
100 1 $aRUSSELL, J. S.
245 $aNitrogen fertilizer and wheat in a semi-arid environment. I. Effect on yield.
260 $c1967
520 $aResponse experiments with Gabo wheat at four rates of ammonium sulphate (0, 11.5, 23, and 46 lb N an acre) were carried out at a number of widely-spread locations in the cereal growing areas of South Australia during six seasons in the period 1956-61. Considerable variability in grain and grain + straw yield and in the observed response to nitrogen fertilizer was found. Season and site effects were marked and season-site interactions were also observed. The mean grain yield response was 8.7, 7.2, and 5.1 lb grain for each lb of nitrogen applied as fertilizer at the rates of 11.5, 23, and 46 lb N an acre. These mean values are lower than those reported for other more humid wheat growing areas, but there are conditions where response is at a comparable level. The main difficulty lies in predicting these situations. Several aspects of the use of nitrogen fertilizer in a semi-arid environment are discussed.
650 $aNitrogênio
650 $aTrigo
773 $tAustralian Journal of Experimental Agriculture and Animal Husbandry, Melbourne$gv. 7, n. 28, p. 453-462, 1967.
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Registro original: |
Embrapa Trigo (CNPT) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
25/10/2017 |
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Data da última atualização: |
26/06/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
ROSA, N. S.; CRUVINEL, P. E.; NAIME, J. de M. |
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Afiliação: |
PAULO ESTEVAO CRUVINEL, CNPDIA; JOAO DE MENDONCA NAIME, CNPDIA. |
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Título: |
Stereo vision embedded system proposal for plant phenotyping. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: International Journal of Semantic Computing, v. 11, n. 3, p. 293-309, 2017. |
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ISSN: |
1793-351x |
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DOI: |
https://doi.org/10.1142/S1793351X17400116 |
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Idioma: |
Português |
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Palavras-Chave: |
Field crop; Machine vision; Plant phenotyping; Project development; Semantic computing; Weed identification. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00697naa a2200229 a 4500
001 2078210
005 2018-06-26
008 2017 bl uuuu u00u1 u #d
022 $a1793-351x
024 7 $ahttps://doi.org/10.1142/S1793351X17400116$2DOI
100 1 $aROSA, N. S.
245 $aStereo vision embedded system proposal for plant phenotyping.
260 $c2017
653 $aField crop
653 $aMachine vision
653 $aPlant phenotyping
653 $aProject development
653 $aSemantic computing
653 $aWeed identification
700 1 $aCRUVINEL, P. E.
700 1 $aNAIME, J. de M.
773 $tIn: International Journal of Semantic Computing$gv. 11, n. 3, p. 293-309, 2017.
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Embrapa Instrumentação (CNPDIA) |
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