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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
01/07/2020 |
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Data da última atualização: |
16/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, H. P. dos; FONTANELI, R. S.; DALMAGO, G. A.; CASTRO, R. L. de; SANTI, A.; Pssebom, T. |
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Afiliação: |
HENRIQUE PEREIRA DOS SANTOS, CNPT; RENATO SERENA FONTANELI, CNPT; GENEI ANTONIO DALMAGO, CNPT; RICARDO LIMA DE CASTRO, CNPT; ANDERSON SANTI, CNPT; Taynara Possebom, Universidade de Passo Fundo, Faculdade de Agronomia e Medicina Veterinária, Campus I, São José, CEP 99001-970, Passo Fundo, RS, Brasil. E-mail: thay-possebom@hotmail.com. |
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Título: |
Economic performance of production systems with crop-livestock integration in no-tillage systems. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Revista Brasileira de Ciências Agrárias, v. 15, n. 2, e6508, 2020. |
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DOI: |
10.5039/agraria.v15i2a6508 |
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Idioma: |
Inglês |
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Conteúdo: |
Adopting wheat that has additional aptitudes to the only function of grain production in crop-livestock integration systems may be an economical alternative for better using the vast expanse of farmland during the autumn-winter period in southern Brazil. The objective of this study was to evaluate economically the crop-livestock integration (CLI) system, in comparison to systems of grain production only. The treatments consisted of six CLI systems, containing either annual winter pasture, soil cover or dualpurpose cereals: system I (wheat/soybean and vetch/maize); system II (wheat/soybean and black oat/maize pasture); system III (wheat/soybean and black oat/soybean pasture); system IV (wheat/soybean and pea/maize); system V (wheat/soybean, dualpurpose triticale/soybean and vetch/soybean); and system VI (wheat/soybean, dual-purpose white oat/soy and dual-purpose wheat/soybean). The treatments were repeated four times in the randomized block design. Calculation of the operational cost and net return of the production systems followed the technical coefficient matrix of the experiment and the prices of inputs and machines from the cultivation year, based on the 2016 market . Systems II and III, which had annual winter pastures, were more profitable than systems I and IV, with legume cover cropping. System VI, with white oat and double-purpose wheat, demonstrated a higher economic return when compared to the system V, with triticale. Overall, system II stood out due to its higher net return. Key words: annual winter pastures; costs; crop rotation; net return Desempenho econômico de sistemas de produção com integração lavoura-pecuária em sistema plantio direto RESUMO: A adoção de trigos que possuem aptidões adicionais à função única de produção de grãos, em sistemas de integração lavoura-pecuária (ILP) pode ser uma alternativa econômica para melhor uso da vasta extensão de terras agrícolas durante o período de outono-inverno no sul do Brasil. O objetivo deste trabalho foi avaliar economicamente o sistema ILP, em comparação com sistemas somente de produção de grãos. Os tratamentos consistiram em seis sistemas de ILP, com pastagem anual de inverno, ou cobertura de solo ou cereais de duplo propósito: sistema I (trigo/soja e ervilhaca/milho); sistema II (trigo/soja e pastagem de aveia preta/milho); sistema III (trigo/soja e pastagem de aveia preta/soja); sistema IV (trigo/soja e ervilha/milho); sistema V (trigo/soja, triticale de duplo propósito/soja e ervilhaca/soja); e sistema VI (trigo/soja, aveia branca de duplo propósito/soja e trigo de duplo propósito/soja). Tratamentos foram repetidos quatro vezes no delineamento em blocos ao acaso. O cálculo do custo operacional e da receita líquida dos sistemas de produção foi elaborado a partir da matriz de coeficientes técnicos do experimento e dos preços de insumos e máquinas do ano de cultivo se basearam no mercado de 2016. Os sistemas II e III que continham pastagem anual de inverno foram os mais lucrativos, comparados aos sistemas I e IV, que continham leguminosas de cobertura de solo. O sistema VI, com aveia branca e trigo de duplo propósito apresentou maior retorno econômico, em relação ao sistema V, com triticale. No geral, o destaque foi o sistema II pela maior receita líquida. Palavras-chave: pastagens anuais de inverno; custos; rotação de culturas; receita líquida MenosAdopting wheat that has additional aptitudes to the only function of grain production in crop-livestock integration systems may be an economical alternative for better using the vast expanse of farmland during the autumn-winter period in southern Brazil. The objective of this study was to evaluate economically the crop-livestock integration (CLI) system, in comparison to systems of grain production only. The treatments consisted of six CLI systems, containing either annual winter pasture, soil cover or dualpurpose cereals: system I (wheat/soybean and vetch/maize); system II (wheat/soybean and black oat/maize pasture); system III (wheat/soybean and black oat/soybean pasture); system IV (wheat/soybean and pea/maize); system V (wheat/soybean, dualpurpose triticale/soybean and vetch/soybean); and system VI (wheat/soybean, dual-purpose white oat/soy and dual-purpose wheat/soybean). The treatments were repeated four times in the randomized block design. Calculation of the operational cost and net return of the production systems followed the technical coefficient matrix of the experiment and the prices of inputs and machines from the cultivation year, based on the 2016 market . Systems II and III, which had annual winter pastures, were more profitable than systems I and IV, with legume cover cropping. System VI, with white oat and double-purpose wheat, demonstrated a higher economic return when compared to the system V, with triticale. Overall, system II stood out due to its highe... Mostrar Tudo |
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Palavras-Chave: |
Annual winter pastures; Costs; Custos; Net return; Pastagens anuais de inverno; Receita líquida; Rotação de culturas. |
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Thesagro: |
Grão; Trigo. |
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Thesaurus Nal: |
Crop rotation; Wheat. |
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Categoria do assunto: |
-- |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1123557/1/6508-21126-1-PB1.pdf
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Marc: |
null
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Registro original: |
Embrapa Trigo (CNPT) |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
17/11/2022 |
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Data da última atualização: |
17/11/2022 |
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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: |
NOVAIS, F. J. DE; YU, H.; CESAR, A. S. M.; MOMEN, M.; POLETI, M. D.; PETRY, B.; MOURÃO, G. B.; REGITANO, L. C. de A.; MOROTA, G.; COUTINHO, L. L. |
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Afiliação: |
FRANCISCO JOSÉ DE NOVAIS, Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil; HAIPENG YU, Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States; ALINE SILVA MELLO CESAR, Department of Agri-Food Industry, Food and Nutrition, University of São Paulo, Piracicaba, Brazil; MEHDI MOMEN, Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States; MIRELE DAIANA POLETI, Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Brazil; BRUNA PETRY, Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil; GERSON BARRETO MOURÃO, Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; GOTA MOROTA, Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States; LUIZ LEHMANN COUTINHO, Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil. |
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Título: |
Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Frontiers in Genetics, v. 13, 948240, oct. 2022. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.3389/fgene.2022.948240 |
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Idioma: |
Inglês |
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Conteúdo: |
Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis (FA) and Bayesian network (BN) modeling to integrate different omic data and complex traits by latent variables (production, carcass, and meat quality traits). A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. Pearson correlation coefficients showed negative correlations between latent variables miRNA 1 (mirna1) and miRNA 2 (mirna2) (-0.47), ribeye area (REA) and protein 4 (prot4) (-0.33), REA and protein 2 (prot2) (-0.3), carcass and prot4 (-0.31), carcass and prot2 (-0.28), and backfat thickness (BFT) and miRNA 3 (mirna3) (?0.25). Positive correlations were observed among the four protein factors (0.45?0.83): between meat quality and fat content (0.71), fat content and carcass (0.74), fat content and REA (0.76), and REA and carcass (0.99). BN presented arcs from the carcass, meat quality, prot2, and prot4 latent variables to REA; from meat quality, REA, mirna2, and gene expression mRNA1 to fat content; from protein 1 (prot1) and mirna2 to protein 5 (prot5); and from prot5 and carcass to prot2. The relations of protein latent variables suggest new hypotheses about the impact of these proteins on REA. The network also showed relationships among miRNAs and nebulin proteins. REA seems to be the central node in the network, influencing carcass, prot2, prot4, mRNA1, and meat quality, suggesting that REA is a good indicator of meat quality. The connection among miRNA latent variables, BFT, and fat content relates to the influence of miRNAs on lipid metabolism. The relationship between mirna1 and prot5 composed of isoforms of nebulin needs further investigation. The FA identified latent variables, decreasing the dimensionality and complexity of the data. The BN was capable of generating interrelationships among latent variables from different types of data, allowing the integration of omics and complex traits and identifying conditional independencies. Our framework based on FA and BN is capable of generating new hypotheses for molecular research, by integrating different types of data and exploring non-obvious relationships. MenosData integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis (FA) and Bayesian network (BN) modeling to integrate different omic data and complex traits by latent variables (production, carcass, and meat quality traits). A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. Pearson correlation coefficients showed negative correlations between latent variables miRNA 1 (mirna1) and miRNA 2 (mirna2) (-0.47), ribeye area (REA) and protein 4 (prot4) (-0.33), REA and protein 2 (prot2) (-0.3), carcass and prot4 (-0.31), carcass and prot2 (-0.28), and backfat thickness (BFT) and miRNA 3 (mirna3) (?0.25). Positive correlations were observed among the four protein factors (0.45?0.83): between meat quality and fat content (0.71), fat content and carcass (0.74), fat content and REA (0.76), and REA and carcass (0.99). BN presented arcs from the carcass, meat quality, prot2, and prot4 latent variables to REA; from meat quality, REA, mirna2, and gene expression mRNA1 to fat content; from protein 1 (prot1) and mirna2 to protein 5 (prot5); and from prot5 and carcass to prot2. The relations of protein latent variables suggest new hypotheses about the impact of these proteins on REA. The network also showed relationships among miRNAs and nebulin proteins. REA seems to be the central no... Mostrar Tudo |
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Palavras-Chave: |
Bayesian network; Latent variables; Omics data. |
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Thesaurus NAL: |
Factor analysis; Meat quality. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1148406/1/MultiOmicDataIntegration.pdf
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Marc: |
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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