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    <title>DSpace Coleção: Artigo em periódico indexado (CNAT)</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/item/131823</link>
    <description>Artigo em periódico indexado (CNAT)</description>
    <pubDate>Sun, 14 Jun 2026 19:38:01 GMT</pubDate>
    <dc:date>2026-06-14T19:38:01Z</dc:date>
    <item>
      <title>Agrobiodiversity, food culture, and traditional agricultural systems: state of the art, conflicts, coexistence, and research agenda.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187516</link>
      <description>Título: Agrobiodiversity, food culture, and traditional agricultural systems: state of the art, conflicts, coexistence, and research agenda.
Autoria: LIMA, P. H. C.; AGUIAR, J. C. B.; CARON, P.; CURADO, F. F.; BARRERA-BASSOLS, N.
Conteúdo: Objective - This article maps international scientific production addressing the intersection of agrobiodiversity, food cultures, and traditional agricultural systems, aiming to identify key threats, structural dynamics, and research gaps shaping their interrelations. Methodology - The study adopts an exploratory and descriptive qualitative approach based on a Systematic Literature Mapping (SLM). Data collection was conducted through bibliographic procedures in Scopus and Web of Science, and the analysis was performed using content analysis. Contribution - The results reveal a limited and fragmented body of literature (21 articles) simultaneously addressing the three domains. The corpus highlights a dual dynamic: on one hand, the recognition of traditional systems as fundamental for biocultural diversity, food sovereignty, and resilience; on the other, the documentation of pressures associated with the expansion of agro-industrial models, including genetic erosion, landscape simplification, and loss of traditional knowledge. Rather than evidencing balanced coexistence, the findings indicate that interactions between food system models are predominantly structured by asymmetrical power relations and conflict. This study identifies a critical analytical gap regarding the conditions shaping these interactions and advances a research agenda grounded in four interconnected themes. These themes synthesize dispersed research gaps into a coherent framework to guide future studies on agrobiodiversity, food cultures, and traditional agricultural systems, contributing to a more relational and systemic understanding of contemporary food system transformations.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Volatile metabolomics from cashew leaves: assessment of resistance biomarkers associated with Black Mold (Pilgeriella anacardii Arx &amp; Müller).</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1153903</link>
      <description>Título: Volatile metabolomics from cashew leaves: assessment of resistance biomarkers associated with Black Mold (Pilgeriella anacardii Arx &amp; Müller).
Autoria: SOUSA, D. B. de; SILVA, G. S. DA; GUEDES, J. A. C.; SERRANO, L. A. L.; MARTINS, V. V.; RODRIGUES, T. H. S.; BRITO, E. S. de; ZAMPIERI, D.; LIMA, A. S.; ZOCOLO, G. J.
Conteúdo: Black mold, a disease caused by the fungus Pilgeriella anacardii Arx &amp; Müller, affects cashews (Anacardium occidentale). Some cashew clones are more resistant to the pathogen; however, little is known about the chemical profile responsible for this trait. The investigation of volatile organic compounds (VOCs) from leaves of dwarf cashew clones resistant (BRS 226 and BRS 265) and susceptible (CCP 76 and BRS 189) to the pathogen was carried out. Leaves were collected during the months of disease incidence and decline (March to July 2019, Brazil), and VOCs were analyzed by gas chromatography-mass spectrometry (GC-MS) combined with chemometric tools. The GC-MS analysis tentatively identified 96 compounds. Partial least squares discriminant analysis (PLS-DA), orthogonal partial least squares discriminant analysis (OPLS&amp;#8209;DA), hierarchical cluster analysis (HCA), and ROC curves analysis were useful in dividing VOCs into distinct resistance and associated chemical susceptibility groups for different clones. The VOCs in the leaves of the resistant clones were identified as alcohols and aldehydes containing six carbons: (E)-hex-2-enal, hex-3-en- 1-ol, (Z)-hex-2-en-1-ol, (E)-hex-2-en-1-ol, and hexan-1-ol. Moreover, &amp;#945;-pinene, pseudolimonene, &amp;#945;-phellandrene, &amp;#946;-myrcene, sylvestrene, &amp;#946;-cis-ocimene, methyl salicylate, myrtenol, &amp;#945;-copaene, &amp;#947;-muurolene, germacrene D, valencene, and germacrene B were also detected in these samples and may be candidate chemical biomarkers for cashew resistance to P. anacardii.</description>
      <pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
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      <dc:date>2022-01-01T00:00:00Z</dc:date>
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