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Biblioteca(s):  Embrapa Agricultura Digital.
Data corrente:  24/07/2019
Data da última atualização:  02/10/2019
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  ROCHA, M. G. da; BARROS, F. M. M. de; OLIVEIRA, S. R. de M.; AMARAL, L. R. do.
Afiliação:  MURILLO GRESPAN DA ROCHA, Feagri/Unicamp; FLÁVIO MARGARITO MARTINS DE BARROS, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUCAS RIOS DO AMARAL, Feagri/Unicamp.
Título:  Biometric characteristics and canopy reflectance association for early-stage sugarcane.
Ano de publicação:  2019
Fonte/Imprenta:  Scientia Agricola, v. 76, n. 4, p. 274-280, July/Aug. 2019
DOI:  http://dx.doi.org/10.1590/1678-992X-2017-0301
Idioma:  Inglês
Conteúdo:  ABSTRACT: Knowing the spatial variability of sugarcane biomass in the early stages of development may help growers in their management decision-making. Proximal canopy sensing is a promising technology that can identify this variability but is limited to quantifying plant-specific parameters. In this study, we evaluated whether biometric variables integrated with canopy reflectance data can assist in the generation of models for early-stage sugarcane biomass prediction. To substantiate this assertion, four sugarcane-producing fields were measured with an active crop canopy sensor and 30 sampling plots were selected for manually quantifying chlorophyll content, plant height, stalk number and aboveground biomass. We determined that Random Forest and Multiple Linear Regression models are similarly able to predict biomass, and that associating biometric variables such as number of stalks and plant height with reflectance data can assist model performance, depending on the attributes selected. This indicates that, when estimating biomass in the early stages, sugarcane growers can carry out site-specific management in order to increase yield and reduce the use of inputs.
Palavras-Chave:  Canopy sensor; Data mining; Floresta aleatória; Índice de vegetação; Mineração de dados; Precision farming; Random forest; Vegetation indices.
Thesagro:  Agricultura de Precisão; Biomassa; Cana de Açúcar.
Thesaurus Nal:  Biomass; Precision agriculture; Sugarcane; Vegetation index.
Categoria do assunto:  X Pesquisa, Tecnologia e Engenharia
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/199820/1/AP-Biometric-characteristics.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Agricultura Digital (CNPTIA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPTIA20075 - 1UPCAP - DD
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Biblioteca(s):  Embrapa Arroz e Feijão.
Data corrente:  22/08/2019
Data da última atualização:  12/02/2020
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  B - 3
Autoria:  ANDERSON, J. A.; ELLSWORTH, P. C.; FARIA, J. C.; HEAD, G. P.; OWEN, M. D. K.; PILCHER, C. D.; SHELTON, A. M.; MEISSLE, M.
Afiliação:  JENNIFER A. ANDERSON, CORTEVA AGRISCIENCE; PETER C. ELLSWORTH, UNIVERSITY OF ARIZONA; JOSIAS CORREA DE FARIA, CNPAF; GRAHAM P. HEAD, BAYER CROP SCIENCE; MICHEAL D. K. OWEN, IOWA STATE UNIVERSITY; CLINTON D. PILCHER, CORTEVA AGRISCIENCE; ANTHONY M. SHELTON, CORNELL UNIVERSITY; MICHAEL MEISSLE, AGROSCOPE, Zurich.
Título:  Genetically engineered crops: importance of diversified integrated pest management for agricultural sustainability.
Ano de publicação:  2019
Fonte/Imprenta:  Frontiers in Bioengineering and Biotechnology, v. 7, article 24, Feb. 2019.
DOI:  10.3389/fbioe.2019.00024
Idioma:  Inglês
Conteúdo:  As the global population continues to expand, utilizing an integrated approach to pest management will be critically important for food security, agricultural sustainability, and environmental protection. Genetically engineered (GE) crops that provide protection against insects and diseases, or tolerance to herbicides are important tools that complement a diversified integrated pest management (IPM) plan. However, despite the advantages that GE crops may bring for simplifying the approach and improving efficiency of pest and weed control, there are also challenges for successful implementation and sustainable use. This paper considers how several GE traits, including those that confer protection against insects by expression of proteins from Bacillus thuringiensis (Bt), traits that confer tolerance to herbicides, and RNAi-based traits that confer resistance to viral pathogens, can be key elements of a diversified IPM plan for several different crops in both developed and developing countries. Additionally, we highlight the importance of community engagement and extension, strong partnership between industry, regulators and farmers, and education and training programs, for achieving long-term success. By leveraging the experiences gained with these GE crops, understanding the limitations of the technology, and considering the successes and failures of GE traits in IPM plans for different crops and regions, we can improve the sustainability and versatility of IPM plans that in... Mostrar Tudo
Thesagro:  Adoção de Inovações; Engenharia Genética; Resistência Genética.
Thesaurus NAL:  Genetically engineered microorganisms; Genetically modified plants; Innovation adoption; Integrated pest management; Integrated weed management; Resistance management; Sustainability science and engineering.
Categoria do assunto:  W Química e Física
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/201167/1/CNPAF-2019-fbb.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Arroz e Feijão (CNPAF)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPAF35570 - 1UPCAP - DD20192019
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