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| 1. |  | COELHO, V. T. S.; CHÁVEZ-FUMAGALLI, M. A.; RODRIGUES, F. M.; OLIVEIRA, D. M.; SILVA, J. A. O.; COSTA, L. E.; MENDONÇA, D. V. C.; ARAÚJO, M. N.; FOUREAUX, E. C. M.; MARTINS, V. T.; FIGUEIREDO, J. E. F.; COELHO, E. A. F. Differential protection induced by immunization with variable doses of a Leishmania antigenic extract against Leishmania amazonensis. Cadernos Técnicos de Saúde, n. 6, p. 8-19, abr. 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
13/11/2018 |
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Data da última atualização: |
20/11/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SILVA, F. A. M. da; NAUDIN, K.; CORBEELS, M.; SCOPEL, E.; AFFHOLDER, F. |
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Afiliação: |
FERNANDO ANTONIO MACENA DA SILVA, CPAC; KRISHNA NAUDIN, CIRAD; MARC CORBEELS, CIRAD; ERIC SCOPEL, CIRAD; FRANÇOIS AFFHOLDER, CIRAD. |
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Título: |
Impact of conservation agriculture on the agronomic and environmental performances of maize cropping under contrasting climatic conditions of the Brazilian Cerrado. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Field Crops Research, v. 230, n. 1, p. 72-83, January 2019. |
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DOI: |
https://doi.org/10.1016/j.fcr.2018.10.009 |
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Idioma: |
Português |
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Conteúdo: |
We calibrated the crop model STICS and used it in a simulation experiment to assess the effect of no-tillage cropping systems, with and without millet as cover crop (NTM and NT), on the water-limited yield of maize, its inter-annual variability, water runoff and drainage below the root zone, compared to conventional tillage-based cropping systems (CT). We ran simulations for two contrasting climates in the Brazilian Cerrado, Goiânia with 1600 mm of annual rain and Barreiras with 1160 mm, using a series of historical weather data and considering two soil types with different soil water storage capacities (i.e. different maximum rooting depths of 90 and 180 cm). We identified the best suitable sowing windows based on agronomic (yield and yield variability) and environmental (runoff and drainage) performances of the cropping systems. Compared to CT, NT and NTM systems increased water-limited maize grain yield and its stability. For example, for the simulations with 90 cm set as maximum rooting depth, grain yields for CT, NT and NTM, averaged over all sowing dates, were 3.41, 4.35 and 4.28 t ha−1 in Goiâna, and 7.02, 7.67 and 7.5 t ha−1 in Barreiras. No-tillage systems markedly decreased water runoff and hence erosion risks. For example, simulated runoff was on average 4% of the annual rain for NT and NTM against 13% for CT at both locations. In contrast, no-tillage systems increased water drainage below the rooting zone, hence with risks of increased nutrient leaching. For example, for the 90 cm maximum rooting depth, simulated drainage was 48% and 41% of the annual rain for NT and NTM against 32% for CT in Goiânia, and 29% and 26% against 17% in Barreiras. Reconciling the objective of maximizing yield and its stability with that of minimizing both water runoff and drainage was only achieved under no-tillage with millet as cover crop (NTM) for a very narrow range of sowing dates. Sowing all fields of the farm within a narrow optimal window requires, however, important investment in machinery and preferential allocation of available farm resources for sowing activities at the start of the cropping season. This must be weighed against other farm activities. MenosWe calibrated the crop model STICS and used it in a simulation experiment to assess the effect of no-tillage cropping systems, with and without millet as cover crop (NTM and NT), on the water-limited yield of maize, its inter-annual variability, water runoff and drainage below the root zone, compared to conventional tillage-based cropping systems (CT). We ran simulations for two contrasting climates in the Brazilian Cerrado, Goiânia with 1600 mm of annual rain and Barreiras with 1160 mm, using a series of historical weather data and considering two soil types with different soil water storage capacities (i.e. different maximum rooting depths of 90 and 180 cm). We identified the best suitable sowing windows based on agronomic (yield and yield variability) and environmental (runoff and drainage) performances of the cropping systems. Compared to CT, NT and NTM systems increased water-limited maize grain yield and its stability. For example, for the simulations with 90 cm set as maximum rooting depth, grain yields for CT, NT and NTM, averaged over all sowing dates, were 3.41, 4.35 and 4.28 t ha−1 in Goiâna, and 7.02, 7.67 and 7.5 t ha−1 in Barreiras. No-tillage systems markedly decreased water runoff and hence erosion risks. For example, simulated runoff was on average 4% of the annual rain for NT and NTM against 13% for CT at both locations. In contrast, no-tillage systems increased water drainage below the rooting zone, hence wit... Mostrar Tudo |
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Thesagro: |
Aptidão Climática; Cerrado; Chuva Ciclonal; Conservação do Solo; Drenagem; Época de Colheita; Época de Semeadura; Escoamento; Milho; Plantio Direto; Produtividade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03233naa a2200313 a 4500
001 2099218
005 2018-11-20
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.fcr.2018.10.009$2DOI
100 1 $aSILVA, F. A. M. da
245 $aImpact of conservation agriculture on the agronomic and environmental performances of maize cropping under contrasting climatic conditions of the Brazilian Cerrado.$h[electronic resource]
260 $c2019
520 $aWe calibrated the crop model STICS and used it in a simulation experiment to assess the effect of no-tillage cropping systems, with and without millet as cover crop (NTM and NT), on the water-limited yield of maize, its inter-annual variability, water runoff and drainage below the root zone, compared to conventional tillage-based cropping systems (CT). We ran simulations for two contrasting climates in the Brazilian Cerrado, Goiânia with 1600 mm of annual rain and Barreiras with 1160 mm, using a series of historical weather data and considering two soil types with different soil water storage capacities (i.e. different maximum rooting depths of 90 and 180 cm). We identified the best suitable sowing windows based on agronomic (yield and yield variability) and environmental (runoff and drainage) performances of the cropping systems. Compared to CT, NT and NTM systems increased water-limited maize grain yield and its stability. For example, for the simulations with 90 cm set as maximum rooting depth, grain yields for CT, NT and NTM, averaged over all sowing dates, were 3.41, 4.35 and 4.28 t ha−1 in Goiâna, and 7.02, 7.67 and 7.5 t ha−1 in Barreiras. No-tillage systems markedly decreased water runoff and hence erosion risks. For example, simulated runoff was on average 4% of the annual rain for NT and NTM against 13% for CT at both locations. In contrast, no-tillage systems increased water drainage below the rooting zone, hence with risks of increased nutrient leaching. For example, for the 90 cm maximum rooting depth, simulated drainage was 48% and 41% of the annual rain for NT and NTM against 32% for CT in Goiânia, and 29% and 26% against 17% in Barreiras. Reconciling the objective of maximizing yield and its stability with that of minimizing both water runoff and drainage was only achieved under no-tillage with millet as cover crop (NTM) for a very narrow range of sowing dates. Sowing all fields of the farm within a narrow optimal window requires, however, important investment in machinery and preferential allocation of available farm resources for sowing activities at the start of the cropping season. This must be weighed against other farm activities.
650 $aAptidão Climática
650 $aCerrado
650 $aChuva Ciclonal
650 $aConservação do Solo
650 $aDrenagem
650 $aÉpoca de Colheita
650 $aÉpoca de Semeadura
650 $aEscoamento
650 $aMilho
650 $aPlantio Direto
650 $aProdutividade
700 1 $aNAUDIN, K.
700 1 $aCORBEELS, M.
700 1 $aSCOPEL, E.
700 1 $aAFFHOLDER, F.
773 $tField Crops Research$gv. 230, n. 1, p. 72-83, January 2019.
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