https://www.alice.cnptia.embrapa.br/alice/handle/item/17 Embrapa Hortaliças (CNPH) 2026-06-03T23:07:38Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187280 Título: Diversity of Capsicum in Brazil and its genetic and agronomic potential. Autoria: REIFSCHNEIDER, F. J. B. Conteúdo: The Embrapa-based Capsicum research program has had activities that go from expeditions to collect germplasm in remote areas of the country to molecular markers, volatile determination and processing characteristics, bridging knowledge and technology gaps of relevance to both public and private sectors; its focus has been the development of disease-resistant lines, cultivars and hybrids of both hot as well as sweet peppers. 2012-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187068 Título: Low-cost lettuce phenotyping platforms powered by generative AI: development, validation, and methodological democratization for climate-just brazilian lettuce crops. Autoria: FONTENELLE, M. R.; GUEDES, I. M. R.; SUINAGA, F. A.; SILVA, J. da; BRAGA, M. B.; MARTINS, S. C. V.; LIMA, C. E. P. Conteúdo: In this context, low-cost digital technologies capable of democratizing access to technical and scientific tools are essential to enhance the resilience and adaptive capacity of vegetable production systems. This study aimed to develop and validate low-cost lettuce phenotyping platforms powered by generative artificial intelligence (AI), focusing on thermal physiological disorders, using Prompt Engineering and Prompt Chaining as core methodologies. The framework comprised: (i) compilation and mapping of climate information and thermal risk/severity for lettuce in Brazil; (ii) identification of key physiological disorders expected under GCC scenarios based on Lima et al.(2024) and a systematic literature review; (iii) design of an analytical pipeline using Prompt Engineering and Prompt Chaining for generative Ais; and (iv) extraction of Python scripts and generation of SHA-256 hash codes in Visual Studio Code (VSC), followed by validation through comparison between AI-generated reports and the reference results of Lima et al.(2024). The resulting set of scripts reproduced, with high consistency, the patterns reported in the benchmark study and were made publicly available under FAIR principles. These results represent an important tool to accelerate the development of technological solutions for increasing resilience and climate adaptation in Brazilian lettuce production, while remaining replicable and adaptable via open-source code to other regions of the world. 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187009 Título: Bridging genomics and traditional knowledge in sweetpotato: a scientometric pathway for participatory breeding Autoria: BRITO, G. R. de; CAMPOS JÚNIOR, E. O. de; SILVEIRA, M. E. da; VENDRAME, L. P. de C.; PEREIRA, R. B.; SIQUEIRA, M. V. B. M. Conteúdo: Sweetpotato (Ipomoea batatas (L.) Lam.) is a globally important root crop cultivated in more than one hundred countries. To map how genetics research has evolved and where actionable gaps remain, we conducted a scientometric analysis of 590 records from Web of Science (WoS) covering 1960 to 2022, of which 213 full-text papers were retained after relevance filtering. Output increased sharply over the last two decades, with the United States, China, and Brazil among the most prolific contributors. Within the corpus, plant breeding accounts for 43 percent of studies, followed by conservation genetics and plant biology. Although molecular tools are increasingly available, only 17.8 percent of the analyzed papers applied omics approaches such as transcriptomics, genomics, proteomics, or metabolomics, which underscores persistent barriers to adoption in key producing regions. Beyond counts, we assessed how the literature supports an operational bridge between omics and Traditional Knowledge (TK) by scoring study level evidence tied to farmer aintained materials, on farm evaluation, and quantitative outcomes. The analysis shows that field relevant measures such as yield with units, adoption in percent, and diversity indices are more common companions to omics than explicit documentation of TK or the use of Participatory plant breeding (PPB) and participatory varietal selection (PVS). Taken together, these results identify where evidence is strong, where it is missing, and how targeted additions, notably explicit documentation of TK and on farm participatory selection, can align genetic signals with community priorities and improve the relevance and adoption of sweetpotato genetics research. 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186498 Título: Local-scale mapping of future climate scenarios for the Lower São Francisco (SE–AL): implications for climate justice and just transition. Autoria: LIMA, C. E. P.; AMORIM, J. R. A. de; CRUZ, M. A. S.; FONTENELLE, M. R. Conteúdo: This study presents local-scale (1 km²) climate projections for the Lower São Francisco region, located between the states of Sergipe and Alagoas (Brazil). Projections were derived from the ACCESS-CM2 model using the WorldClim database. The exclusive use of ACCESS-CM2 is justified by its physical consistency for the Brazilian territory. Key climatic variables - minimum temperature (Tmin), maximum temperature (Tmax), and precipitation (Prec) - were mapped for four SSPs scenarios up to 2100. The methodology was based on automated workflows developed with the support of generative artificial intelligence and collaborative platforms, which were used to build Python scripts executed in PyQGIS. FAIR and open science principles were adopted with all data deposited on public Zenodo repositories. Results indicate a strong warming trend, with Tmax increases up to 6°C and Tmin up to 5°C, accompanied by reductions in annual precipitation exceeding 250 mm. The rainy season may be shortened from five to three months. These changes pose severe risks to water availability, agricultural productivity, and farmers’ livelihoods, potentially leading to food, nutritional and water insecurity in this socioeconomically and climate vulnerable region. There is urgent need to adopt resilient and adapted strategies. Climate-smart public policies and agricultural systems must be developed, implemented and piloted. As this is a socioeconomically and climatically vulnerable region, this study serves as support for the IPCC climate justice and just transition frameworks. 2026-01-01T00:00:00Z