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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
Data corrente: |
03/12/2021 |
Data da última atualização: |
03/12/2021 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
DOMICIANO, L. F.; PEDREIRA, B. C. e; ABREU, J. G. de; PEREIRA, D. H.; MAGALHÃES, C. A. de S. |
Afiliação: |
LEANDRO FERREIRA DOMICIANO, UFMT, Cuiabá-MT; BRUNO CARNEIRO E PEDREIRA, CPAMT; JOADIL GONÇALVES DE ABREU, UFMT, Cuiabá-MT; DALTON HENRIQUE PEREIRA, UFMT, Sinop-MT; CIRO AUGUSTO DE SOUZA MAGALHAES, CPAMT. |
Título: |
Forage mass and grain yield of maize growing in crop-livestock-forestry systems. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings... Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 391. Evento virtual. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The increasing demand for food and renewable energy resources has been supporting studies of competitiveness and complementarity interactions between trees, crops, and animals. Thus, the integrated systems should promote a synergic relationship between the components resulting in greater production of crops, animals, and forestry. In this sense, our objective was to compare the forage mass and grain yield of maize (Zea mays L.) mixed with Marandu palisadegrass (Urochloa brizantha (Hochst. ex A. Rich.) R. D. Webster) growing in a crop-livestock-forestry system with single-row (CLFs) or triple-row (CLFt) groves with Eucalyptus urograndis (hybrid of E. grandis W. Hill ex Maiden and E. urophylla S. T. Blake) in Sinop, MT, Brazil. The experiment was carried out from two years in a randomized complete block with trees rows (grove) were spaced in inter-row, intra-row, and inter-grove with 3.5×3.0×30 m, with 135 tree ha?1 (after thinning) for CLFt and 37×3.0 m (inter-row×intra-row) with 90 tree ha?1 for CLFs. It was observed a reduction of up to 13% and 23% in light radiation between CLFt and CLFs systems during 2017 and 2018, respectively. The forage mass (maize + palisadegrass) and corn grain yield per system decreased according to light radiation. The forage mass was 9.5 and 6.2 Mg DM ha?1 in 2017 and 21.5 and 14.0 Mg DM ha?1 in 2018, for the CLFs and CLFt systems, respectively. The grain yield was 3.34, and 1.66 Mg DM ha?1 in 2017 and 4.66 and 2.55 Mg DM ha?1 in 2018, for CLFs and CLFt, respectively. This grain yield reduction was due to the competitive advantages of trees in integrated systems, wherein, the tree canopy greatly diminishes the light available to the crops (maize + palisadegrass). The maize, a C4 plant metabolism and with higher light saturation point, becomes very susceptible to shading. Consequently, the forage mass and grain yield were negatively affected by light radiation, especially in 2018, when there was less light transmission due to the higher tree canopy. We concluded that the single-row arrangement is recommended because assure a greater forage mass and grain yield for croplivestock- forestry systems. MenosAbstract: The increasing demand for food and renewable energy resources has been supporting studies of competitiveness and complementarity interactions between trees, crops, and animals. Thus, the integrated systems should promote a synergic relationship between the components resulting in greater production of crops, animals, and forestry. In this sense, our objective was to compare the forage mass and grain yield of maize (Zea mays L.) mixed with Marandu palisadegrass (Urochloa brizantha (Hochst. ex A. Rich.) R. D. Webster) growing in a crop-livestock-forestry system with single-row (CLFs) or triple-row (CLFt) groves with Eucalyptus urograndis (hybrid of E. grandis W. Hill ex Maiden and E. urophylla S. T. Blake) in Sinop, MT, Brazil. The experiment was carried out from two years in a randomized complete block with trees rows (grove) were spaced in inter-row, intra-row, and inter-grove with 3.5×3.0×30 m, with 135 tree ha?1 (after thinning) for CLFt and 37×3.0 m (inter-row×intra-row) with 90 tree ha?1 for CLFs. It was observed a reduction of up to 13% and 23% in light radiation between CLFt and CLFs systems during 2017 and 2018, respectively. The forage mass (maize + palisadegrass) and corn grain yield per system decreased according to light radiation. The forage mass was 9.5 and 6.2 Mg DM ha?1 in 2017 and 21.5 and 14.0 Mg DM ha?1 in 2018, for the CLFs and CLFt systems, respectively. The grain yield was 3.34, and 1.66 Mg DM ha?1 in 2017 and 4.66 and 2.55 Mg DM ha?1 in 2018, ... Mostrar Tudo |
Palavras-Chave: |
Crop-livestock-forestry systems; Ilpf; Integração lavoura-pecuária-floresta; Light radiation; Mato Grosso; Sinop-MT; Sistema integrado de produção. |
Thesagro: |
Agrossilvicultura; Crescimento; Forragem; Milho. |
Thesaurus Nal: |
Corn; Eucalyptus; Forage; Light; Shade; Urochloa brizantha. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228489/1/2021-cpamt-bcp-forage-mass-grain-yield-maize-growth-crop-livestock-forestry-systems.pdf
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Marc: |
LEADER 03383nam a2200361 a 4500 001 2137092 005 2021-12-03 008 2021 bl uuuu u00u1 u #d 100 1 $aDOMICIANO, L. F. 245 $aForage mass and grain yield of maize growing in crop-livestock-forestry systems.$h[electronic resource] 260 $aIn: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings... Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 391. Evento virtual.$c2021 520 $aAbstract: The increasing demand for food and renewable energy resources has been supporting studies of competitiveness and complementarity interactions between trees, crops, and animals. Thus, the integrated systems should promote a synergic relationship between the components resulting in greater production of crops, animals, and forestry. In this sense, our objective was to compare the forage mass and grain yield of maize (Zea mays L.) mixed with Marandu palisadegrass (Urochloa brizantha (Hochst. ex A. Rich.) R. D. Webster) growing in a crop-livestock-forestry system with single-row (CLFs) or triple-row (CLFt) groves with Eucalyptus urograndis (hybrid of E. grandis W. Hill ex Maiden and E. urophylla S. T. Blake) in Sinop, MT, Brazil. The experiment was carried out from two years in a randomized complete block with trees rows (grove) were spaced in inter-row, intra-row, and inter-grove with 3.5×3.0×30 m, with 135 tree ha?1 (after thinning) for CLFt and 37×3.0 m (inter-row×intra-row) with 90 tree ha?1 for CLFs. It was observed a reduction of up to 13% and 23% in light radiation between CLFt and CLFs systems during 2017 and 2018, respectively. The forage mass (maize + palisadegrass) and corn grain yield per system decreased according to light radiation. The forage mass was 9.5 and 6.2 Mg DM ha?1 in 2017 and 21.5 and 14.0 Mg DM ha?1 in 2018, for the CLFs and CLFt systems, respectively. The grain yield was 3.34, and 1.66 Mg DM ha?1 in 2017 and 4.66 and 2.55 Mg DM ha?1 in 2018, for CLFs and CLFt, respectively. This grain yield reduction was due to the competitive advantages of trees in integrated systems, wherein, the tree canopy greatly diminishes the light available to the crops (maize + palisadegrass). The maize, a C4 plant metabolism and with higher light saturation point, becomes very susceptible to shading. Consequently, the forage mass and grain yield were negatively affected by light radiation, especially in 2018, when there was less light transmission due to the higher tree canopy. We concluded that the single-row arrangement is recommended because assure a greater forage mass and grain yield for croplivestock- forestry systems. 650 $aCorn 650 $aEucalyptus 650 $aForage 650 $aLight 650 $aShade 650 $aUrochloa brizantha 650 $aAgrossilvicultura 650 $aCrescimento 650 $aForragem 650 $aMilho 653 $aCrop-livestock-forestry systems 653 $aIlpf 653 $aIntegração lavoura-pecuária-floresta 653 $aLight radiation 653 $aMato Grosso 653 $aSinop-MT 653 $aSistema integrado de produção 700 1 $aPEDREIRA, B. C. e 700 1 $aABREU, J. G. de 700 1 $aPEREIRA, D. H. 700 1 $aMAGALHÃES, C. A. de S.
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Embrapa Agrossilvipastoril (CPAMT) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Mandioca e Fruticultura. |
Data corrente: |
15/01/2024 |
Data da última atualização: |
16/01/2024 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SOUZA, K. X. S. de; TERNES, S.; CAMARGO NETO, J.; SANTOS, T. T.; MOREIRA, A. S.; KOENIGKAN, L. V.; SOUZA, R. de. |
Afiliação: |
KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; SONIA TERNES, CNPTIA; JOAO CAMARGO NETO, CNPTIA; THIAGO TEIXEIRA SANTOS, CNPTIA; ALECIO SOUZA MOREIRA, CNPMF; LUCIANO VIEIRA KOENIGKAN, CNPTIA; ROBERTA DE SOUZA. |
Título: |
Evaluating multiple regressors for the yield of orange orchards. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 14., 2023, Natal. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023. p. 262-269. |
ISSN: |
2177-9724 |
DOI: |
https://doi.org/10.5753/sbiagro.2023.26567 |
Idioma: |
Inglês |
Notas: |
SBIAgro 2023. |
Conteúdo: |
In this paper, we assess the effectiveness of various machine learning regressors for yield forecasting based on fruit detection in images captured within the orchard |
Palavras-Chave: |
Automatic fruit identification; Identificação automática de frutas; Visão computacional. |
Thesagro: |
Laranja. |
Thesaurus NAL: |
Computer vision; Image analysis; Oranges. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160827/1/AA-Evaluating-multiple-SBIAgro-2023.pdf
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Marc: |
LEADER 01165nam a2200301 a 4500 001 2160827 005 2024-01-16 008 2023 bl uuuu u00u1 u #d 022 $a2177-9724 024 7 $ahttps://doi.org/10.5753/sbiagro.2023.26567$2DOI 100 1 $aSOUZA, K. X. S. de 245 $aEvaluating multiple regressors for the yield of orange orchards.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 14., 2023, Natal. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023. p. 262-269.$c2023 500 $aSBIAgro 2023. 520 $aIn this paper, we assess the effectiveness of various machine learning regressors for yield forecasting based on fruit detection in images captured within the orchard 650 $aComputer vision 650 $aImage analysis 650 $aOranges 650 $aLaranja 653 $aAutomatic fruit identification 653 $aIdentificação automática de frutas 653 $aVisão computacional 700 1 $aTERNES, S. 700 1 $aCAMARGO NETO, J. 700 1 $aSANTOS, T. T. 700 1 $aMOREIRA, A. S. 700 1 $aKOENIGKAN, L. V. 700 1 $aSOUZA, R. de
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