https://www.alice.cnptia.embrapa.br/alice/handle/item/394 Artigo em periódico indexado (CNPAE) Fri, 15 May 2026 07:56:45 GMT 2026-05-15T07:56:45Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186824 Título: Visualizando a difratometria. Autoria: VALADARES, L. F.; VALADARES, N. F. Conteúdo: This classroom-oriented study goes beyond simple visualization by directly comparing laser diffractometry and light microscopy measurements to quantify micron-scale spacings in commercial CDs/DVDs (compact disc/digital versatile disc) and electron-microscopy grids. Diffraction angles from reflection (CD/DVD) and transmission (grids) patterns were captured using a digital camera. We systematically validate the diffractometry results with microscopy, teaching the scientific principle of cross-validation. Furthermore, by employing grids with square, rectangular, and hexagonal symmetries, we provide a tangible introduction to symmetry and reciprocal space, demonstrating the inverse relationship between grating spacing and diffraction pattern scale. Designed for educational settings, these experiments use affordable materials to teach core principles of diffraction with applications in material science and chemistry. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186824 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186718 Título: Deep learning and aerial imagery for macaúba palm identification Autoria: SANTOS, W. R. dos; FAVARO, S. P.; CORDÃO, M. A.; SANO, E. E.; CARDOSO, A. N. Conteúdo: The objective of this work was to use deep learning and images taken by unmanned aerial vehicles to develop a model to identify the occurrence of macaúba (Acrocomia intumescens) palm trees. The model was trained and tested using data from areas in the southern region of the state of Ceará, Brazil. Later, the tested model was evaluated using data from areas in the Midwestern region of the country. The primary challenge was to distinguish macaúba from other native palm trees, such as babassu (Attalea speciosa). Babassu has spectral similarities and a random distribution, which makes it difficult to identify. Red-green-blue mosaics were cropped into smaller size images and processed using a convolutional neural network deep-learning technique. Identification performance was evaluated using metrics of accuracy, precision, recall, and F1-score. In an area of 1,000 ha, 3,679 macaúba palm trees and 12,410 babassu palm trees were identified, achieving a 93% accuracy. The proposed approach was evaluated in a 4.0 ha site located in the municipality of Batayporã, in the southern region of the state of Mato Grosso do Sul, with an 89% accuracy. The model was able to identify macaúba palm trees occurring in natural areas in the Semiarid and in Midwestern regions of Brazil. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186718 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186205 Título: Conserved transcriptional responses to salt and water stress in oil palm (Elaeis guineensis Jacq.) leaf tissues. Autoria: SALGADO, F. F.; SILVA, T. L. C. da; LEAO, A. P.; TOGAWA, R. C.; SOUSA, C. A. F. de; GRYNBERG, P.; SOUZA JUNIOR, M. T. Conteúdo: Abiotic stresses negatively impact oil palm (Elaeis guineensis Jacq.) cultivation. Transcription factors (TFs) are essential proteins regulating gene expression in plants. While numerous TF gene families are implicated in plant responses to abiotic stress, their specific roles in oil palm’s drought and salinity responses remain largely unexplored. This study aimed to get insights into the TFs’ involvement in the oil palm’s response to these stresses. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186205 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1185435 Título: Diversification of oil-bearing biomass sources for decarbonization and sustainability. Autoria: LOPES, M. A.; LAVIOLA, B. G.; FAVARO, S. P. Conteúdo: Abstract: The objective of this review was to analyze the diversification of oil-bearing biomass sources as a strategic pathway to support decarbonization and sustainability, with emphasis on bioenergy in Brazil. The review identifies opportunities, challenges, and conditions to expand the use of diverse oily crops. The work is based on scientific publications, technical reports, and institutional documents addressing biomass and bioenergy production. It highlights the potential of oily crops, such as macaúba and tropicalized canola, to expand biomass supply for biofuels and bioproducts. In addition, it examines integrated agricultural systems that combine biomass production with environmental restoration. Such an approach shows that diversifying oil-bearing crops can reduce pressure on traditional feedstocks such as soybean and oil palm, which face sustainability concerns abroad and can be highly affected by climate change. Technological, regulatory, and financial challenges that must be overcome for large-scale adoption of new crops were identified. The review also presents lessons from past failures, showing that success depends on long-term research, breeding, and risk management. Diversifying oil-bearing biomass sources strengthens climate mitigation, rural development, and bioeconomy strategies, positioning Brazil as a leader in the production of sustainable biomass. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1185435 2026-01-01T00:00:00Z