Detalhes bibliográficos
| Ano de defesa: |
1998 |
| Autor(a) principal: |
Leandro, Wilson Mozena
 |
| Orientador(a): |
Almeida Neto, José Xavier de |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Tese
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal de Goiás
|
| Programa de Pós-Graduação: |
Programa de Pós-graduação em Agronomia (EAEA)
|
| Departamento: |
Escola de Agronomia e Engenharia de Alimentos - EAEA (RG)
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/4197
|
Resumo: |
In order to diagnose the most limiting nutrients for soybean crop, in Rio Verde region, GO, farms were divided in distinct and homogeneous plots. Soil and leaf sampling were performed at the 50% soybean flowering stage. The third leaf from the top of 30 plants were sampled per plot. Yield was estimated from plants in 1m rows in 10 points per plot. Soil and tissue analysis were interpreted by critical levels and DRIS methods. The diagnosis precision was tested by different DRIS indices (expressions, ratios) calculation procedures. Plant nutrient condition diagnosis methods showed different interpretations. The original Beaufils method was the most precise. As related to DRIS use for soils, the resin-extracted P method was more precise than the Mehlich I extractor. Phosphorus was the most limiting nutrient for soybean crop. Potassium applied in excess caused exchangeable bases unbalance and induced a magnesium defficiency. The DRIS method showed higher sensitivity to diagnose nutrition problems, especially for micronutrients. |
