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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
05/04/2024 |
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Data da última atualização: |
05/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HAHN, L.; KURTZ, C.; PAULA, B. V.; FELTRIM, A. L.; HIGASHIKAWA, F. S.; MOREIRA, C.; ROZANE, D. E.; BRUNETTO, G.; PARENT, L. |
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Título: |
Feature-specifc nutrient management of onion (Allium cepa) using machine learning and compositional methods. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Scientific Reports, Washingtons, USA, v. 14, p. 1-12, 2024. |
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Idioma: |
Inglês |
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Conteúdo: |
While onion cultivars, irrigation and soil and crop management have been given much attention in Brazil to boost onion yields, nutrient management at field scale is still challenging due to large dosage uncertainty. Our objective was to develop an accurate feature-based fertilization model for onion crops. We assembled climatic, edaphic, and managerial features as well as tissue tests into a database of 1182 observations from multi-environment fertilizer trials conducted during 13 years in southern Brazil. The complexity of onion cropping systems was captured by machine learning (ML) methods. The RReliefF ranking algorithm showed that the split-N dosage and soil tests for micronutrients and S were the most relevant features to predict bulb yield. The decision-tree random forest and extreme gradient boosting models were accurate to predict bulb yield from the relevant predictors (R2 > 90%). As shown by the gain ratio, foliar nutrient standards for nutritionally balanced and high-yielding specimens producing > 50 Mg bulb ha−1 set apart by the ML classification models differed among cultivars. Cultivar × environment interactions support documenting local nutrient diagnosis. The split-N dosage was the most relevant controllable feature to run future universality tests set to assess models? ability to generalize to growers? fields. |
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Thesagro: |
Allium cepa; fertilidade do solo; machine learning; nutrição mineral. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02171naa a2200265 a 4500
001 1134365
005 2024-04-05
008 2024 bl uuuu u00u1 u #d
100 1 $aHAHN, L.
245 $aFeature-specifc nutrient management of onion (Allium cepa) using machine learning and compositional methods.$h[electronic resource]
260 $c2024
520 $aWhile onion cultivars, irrigation and soil and crop management have been given much attention in Brazil to boost onion yields, nutrient management at field scale is still challenging due to large dosage uncertainty. Our objective was to develop an accurate feature-based fertilization model for onion crops. We assembled climatic, edaphic, and managerial features as well as tissue tests into a database of 1182 observations from multi-environment fertilizer trials conducted during 13 years in southern Brazil. The complexity of onion cropping systems was captured by machine learning (ML) methods. The RReliefF ranking algorithm showed that the split-N dosage and soil tests for micronutrients and S were the most relevant features to predict bulb yield. The decision-tree random forest and extreme gradient boosting models were accurate to predict bulb yield from the relevant predictors (R2 > 90%). As shown by the gain ratio, foliar nutrient standards for nutritionally balanced and high-yielding specimens producing > 50 Mg bulb ha−1 set apart by the ML classification models differed among cultivars. Cultivar × environment interactions support documenting local nutrient diagnosis. The split-N dosage was the most relevant controllable feature to run future universality tests set to assess models? ability to generalize to growers? fields.
650 $aAllium cepa
650 $afertilidade do solo
650 $amachine learning
650 $anutrição mineral
700 1 $aKURTZ, C.
700 1 $aPAULA, B. V.
700 1 $aFELTRIM, A. L.
700 1 $aHIGASHIKAWA, F. S.
700 1 $aMOREIRA, C.
700 1 $aROZANE, D. E.
700 1 $aBRUNETTO, G.
700 1 $aPARENT, L.
773 $tScientific Reports, Washingtons, USA$gv. 14, p. 1-12, 2024.
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Epagri-Sede (Epagri-Sede) |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
15/01/2015 |
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Data da última atualização: |
15/01/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - B |
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Autoria: |
TOLEDO, T. M.; SILVA, B. C.; VIEIRA, F. N.; MOURINO, J. L. P.; SEIFFERT, W. Q. |
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Título: |
Effects of different dietary lipid levels and fatty acids profile in the culture of white shrimp Litopenaeus vannamei (Boone) in biofloc technology: water quality, biofloc composition, growth and health. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Aquaculture Research, New Jersey, EUA, p. 1-11, 2014. |
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Série: |
ISBN 1365-2109 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to evaluate the influence of different dietary lipid and fatty acids on the nutritional value of bioflocs used as a feed,as well as shrimp performance and health. A total of 1800 Litopenaeus vannamei juveniles (2.87 0.01 g) were cultured in biofloc technology, with a density of 200 shrimp m2 , and fed with three isoproteic experimental diets at different lipid levels (85 g kg1 , 95 g kg1 and 105 g kg1 ); each treatment was performed in triplicate. After 61 days, no significant difference was observed (P > 0.05) among the water qualityparameters. For the shrimp performance, significant difference was observed (P = 0.011) among the values of survival, where treatments with lower lipid levels had higher survival (92.5 3.5% and 91.0 2.5%). Although there are significant differences in survival, no significant differences in the total haemocytes count (THC) were observed. For other growth performance, no differences were observed (P > 0.05). A positive correlation (r = 0.75) has been observed between the dietary oleic acid and bioflocs. The bioflocs howed ?long-chain? polyunsaturated fat acids (lcPUFA), especially arachidonic acid. The shrimp showed similar growth and stayed healthy at the end of the experimental period. |
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Palavras-Chave: |
healthy; marine shrimp; nutritional value of biofloc; oils. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02051naa a2200229 a 4500
001 1122689
005 2015-01-15
008 2014 bl uuuu u00u1 u #d
100 1 $aTOLEDO, T. M.
245 $aEffects of different dietary lipid levels and fatty acids profile in the culture of white shrimp Litopenaeus vannamei (Boone) in biofloc technology$bwater quality, biofloc composition, growth and health.$h[electronic resource]
260 $c2014
490 $aISBN 1365-2109
520 $aThe objective of this study was to evaluate the influence of different dietary lipid and fatty acids on the nutritional value of bioflocs used as a feed,as well as shrimp performance and health. A total of 1800 Litopenaeus vannamei juveniles (2.87 0.01 g) were cultured in biofloc technology, with a density of 200 shrimp m2 , and fed with three isoproteic experimental diets at different lipid levels (85 g kg1 , 95 g kg1 and 105 g kg1 ); each treatment was performed in triplicate. After 61 days, no significant difference was observed (P > 0.05) among the water qualityparameters. For the shrimp performance, significant difference was observed (P = 0.011) among the values of survival, where treatments with lower lipid levels had higher survival (92.5 3.5% and 91.0 2.5%). Although there are significant differences in survival, no significant differences in the total haemocytes count (THC) were observed. For other growth performance, no differences were observed (P > 0.05). A positive correlation (r = 0.75) has been observed between the dietary oleic acid and bioflocs. The bioflocs howed ?long-chain? polyunsaturated fat acids (lcPUFA), especially arachidonic acid. The shrimp showed similar growth and stayed healthy at the end of the experimental period.
653 $ahealthy
653 $amarine shrimp
653 $anutritional value of biofloc
653 $aoils
700 1 $aSILVA, B. C.
700 1 $aVIEIRA, F. N.
700 1 $aMOURINO, J. L. P.
700 1 $aSEIFFERT, W. Q.
773 $tAquaculture Research, New Jersey, EUA, p. 1-11, 2014.
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