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    <title>DSpace Coleção:</title>
    <link>https://ri.ufs.br/jspui/handle/riufs/7318</link>
    <description />
    <pubDate>Sat, 29 Aug 2026 07:15:55 GMT</pubDate>
    <dc:date>2026-08-29T07:15:55Z</dc:date>
    <image>
      <title>DSpace Coleção:</title>
      <url>http://ri.ufs.br:80/retrieve/6a0d7827-1bbc-4e0c-b467-7d5dcee6ee1e/a15346f0-3c11-45f7-997f-dac4b3269660.jfif</url>
      <link>https://ri.ufs.br/jspui/handle/riufs/7318</link>
    </image>
    <item>
      <title>Enviromics e modelagem preditiva aplicadas ao melhoramento de milho (Zea mays L.) no semiárido brasileiro</title>
      <link>https://ri.ufs.br/jspui/handle/riufs/25924</link>
      <description>Título: Enviromics e modelagem preditiva aplicadas ao melhoramento de milho (Zea mays L.) no semiárido brasileiro
Autor(es): Martins, Gabriel Oliveira
Abstract: Maize (Zea mays L.) is a strategic crop for food security, forage production, and income&#xD;
generation in the Brazilian semiarid region. However, high climatic variability and edaphic&#xD;
constraints result in low average productivity and elevated risk of crop failure, while also&#xD;
hindering the recommendation of adapted cultivars. In this dissertation, we propose an&#xD;
integrated framework that combines envirotyping, environmental stratification, geospatial&#xD;
delineation of the target population of environments (TPE), and the multi-trait mean&#xD;
performance and stability index (MTMPS) to support maize breeding and cultivar&#xD;
recommendation in the semiarid region. In the first study, the envirotyping approach was&#xD;
applied across selected states of Northeastern Brazil, delineating four mega-environments&#xD;
(MEs) based on 19 environmental covariates, ten experimental sites, and a 23-year&#xD;
climatological series. Across the ten environments, 20 maize hybrids were evaluated over two&#xD;
growing seasons, and the MTMPS was employed to select superior genotypes, simultaneously&#xD;
assessing grain yield (GY), plant height (PH), ear height (EH), plant density (PD), and number&#xD;
of ears (NE). This approach enabled the identification of productive hybrids combining high&#xD;
mean performance and greater consistency across the two growing seasons per ME, with G03&#xD;
and G04 standing out as selected across three of the four MEs. The integration of envirotyping&#xD;
and MTMPS enabled the simultaneous assessment of mean performance and stability across&#xD;
multiple traits and may support the future rationalization of multi-location trial networks. In the&#xD;
second study, environmental covariables were used – through the EnvRtype package in R – to&#xD;
segment the Alto Sertão Sergipano into macroenvironments (MEs) based on similarities among&#xD;
environmental and ecophysiologically relevant covariates. Cluster analysis revealed four major&#xD;
environmental groups, showing that neighboring municipalities may belong to distinct climatic&#xD;
zones, while geographically distant areas may share similar environmental profiles. This&#xD;
stratification highlighted the possibility of reducing the number of testing sites by concentrating&#xD;
trials in more representative environments, thereby providing a basis for future environmentally&#xD;
informed cultivar evaluations for the region. In the third study, we developed a georeferenced&#xD;
TPE for maize in the Alto Sertão Sergipano using geographic information system (GIS) tools&#xD;
in R, including the TPEmap function. Based on the coordinates of 21 georeferenced locations,&#xD;
concave polygons were built, rasterized, and integrated with climatic and soil covariables&#xD;
(NASA POWER and SoilGrids v2.0). Cluster analysis, the environmental similarity matrix,&#xD;
and principal component analysis revealed that the TPE is structurally heterogeneous and&#xD;
composed of six edaphoclimatic sub-environments, reflecting gradients of aridity, temperature,&#xD;
and water availability. Using grain yield data from 352 genotypes evaluated at CEUFS (2019–&#xD;
2024), mixed models (REML) were fitted to estimate BLUPs and rank genotypes for&#xD;
productivity and stability. Cultivars AGR Vereda, NS80VIP3, GNZ59, GNZ15, and AG8780&#xD;
comprised the elite group, with high predicted performance and temporal consistency at&#xD;
CEUFS, which belongs to the central environmental cluster of the TPE. Taken together, the&#xD;
results indicate that integrating envirotyping, environmental stratification, geospatial TPE&#xD;
mapping, and MTMPS provides an environmentally informed basis for redesigning&#xD;
experimental networks, guiding breeding programs, and the future evaluation and&#xD;
recommendation of maize cultivars for the Brazilian semiarid region, with the potential to&#xD;
contribute to productivity, resilience, and food security following multi-location validation in&#xD;
the Alto Sertão Sergipano and similar regions.</description>
      <pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ri.ufs.br/jspui/handle/riufs/25924</guid>
      <dc:date>2026-07-14T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Filmes de partículas de óxido de cálcio e silício em campo e casa de vegetação, na avaliação de déficit hídrico e aprendizagem de máquinas na predição da produtividade de abóbora “mini jack”</title>
      <link>https://ri.ufs.br/jspui/handle/riufs/25921</link>
      <description>Título: Filmes de partículas de óxido de cálcio e silício em campo e casa de vegetação, na avaliação de déficit hídrico e aprendizagem de máquinas na predição da produtividade de abóbora “mini jack”
Autor(es): Graça, Genilza Almeida da
Abstract: Climate change has intensified the frequency and severity of drought periods, increasing risks&#xD;
to agricultural production and the need for strategies capable of enhancing crop tolerance to&#xD;
water deficit. In this context, calcium oxide (CaO)-based particle films and silicon (Si) have the&#xD;
potential to modulate physiological responses and alleviate the effects of stress, while machine&#xD;
learning enables the integration of biological and agronomic information for predicting crop&#xD;
productivity. This study evaluated the effects of CaO and Si on mitigating water deficit in ‘Mini&#xD;
Jack’ pumpkin (Cucurbita moschata) plants, considering physiological, biochemical, growth,&#xD;
and productivity responses, as well as the potential of machine learning algorithms for&#xD;
productivity prediction. The study was structured into three articles. In the first article, different&#xD;
CaO concentrations (0, 2.5, 5, and 7.5%) were evaluated under two irrigation regimes (66 and&#xD;
100% of crop water requirements). CaO application modulated photochemical functioning and&#xD;
productivity performance, with the 5% concentration promoting electron transport, preserving&#xD;
photochemical efficiency, and improving yield. In contrast, the 7.5% concentration resulted in&#xD;
less favorable responses, highlighting the importance of optimizing particle film concentration.&#xD;
In the second article, the individual and combined applications of Si and CaO were evaluated&#xD;
under different water regimes. Water deficit impaired plant growth and altered photosynthetic&#xD;
pigments, the chlorophyll a fluorescence transient, and osmotic and antioxidant responses. CaO&#xD;
alone contributed to maintaining leaf area under water deficit, whereas the Si + CaO&#xD;
combination increased chlorophyll indices, preserved photochemical functioning, and reduced&#xD;
proline accumulation As well as CAT and APX activities, indicating lower oxidative stress and&#xD;
a predominantly preventive strategy for protecting the photosynthetic apparatus. In the third&#xD;
article, Linear Regression, Random Forest, and SMOreg algorithms were evaluated for&#xD;
productivity prediction using progressively integrated datasets comprising pigments, OJIP&#xD;
parameters, biometric traits, and management variables. Pigments alone showed low predictive&#xD;
capacity, whereas the incorporation of OJIP parameters improved model performance, with&#xD;
Random Forest showing the best results. The integration of photochemical, pigment-related,&#xD;
and biometric information provided the highest predictive performance, with SMOreg&#xD;
outperforming the other algorithms, demonstrating that biological complementarity among&#xD;
predictors was critical for accurately representing productivity. Overall, the results demonstrate&#xD;
that CaO and its combination with Si are promising strategies for modulating the responses of&#xD;
‘Mini Jack’ pumpkin plants to water deficit, while the integration of plant ecophysiology and&#xD;
machine learning enhances the ability to relate crop management, photosynthetic functioning,&#xD;
growth, and productivity.</description>
      <pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ri.ufs.br/jspui/handle/riufs/25921</guid>
      <dc:date>2026-07-24T00:00:00Z</dc:date>
    </item>
    <item>
      <title>O escurecimento e a cicatrização em inhame (Dioscorea spp.) minimamente processado é modulado pela região do tubérculo, aplicação de ácido ascórbico e temperatura de conservação</title>
      <link>https://ri.ufs.br/jspui/handle/riufs/25414</link>
      <description>Título: O escurecimento e a cicatrização em inhame (Dioscorea spp.) minimamente processado é modulado pela região do tubérculo, aplicação de ácido ascórbico e temperatura de conservação
Autor(es): Corrêa, Cristina Bani
Abstract: Mechanical damage caused by peeling and cutting affects the biochemical and physiological&#xD;
processes of yam, triggering enzymatic oxidation and inducing rapid defense responses, such&#xD;
as the formation of structural barriers at the wound site. This study aims to investigate, in an&#xD;
integrated manner, the physiological, biochemical, and structural responses of minimally&#xD;
processed yam (Dioscorea cayenensis), evaluating the effects of tuber region, storage&#xD;
temperature, and ascorbic acid application on enzymatic browning and wound healing. Slices&#xD;
from the apical (AP), medial (ME), and distal (DI) regions were subjected to minimal&#xD;
processing, treated or not with ascorbic acid (1% w/v), and stored at 5 °C (browning) and at 5&#xD;
and 20 °C (lignification). Quality and physicochemical parameters, phenolic metabolism,&#xD;
enzymatic activities (PPO, SOD, CAT, POD, and PAL), and lignin deposition were evaluated.&#xD;
Visual quality progressively declined during storage, with more pronounced losses in the apical&#xD;
region. ascorbic acid delayed browning and extended the acceptability of the medial and distal&#xD;
regions. Browning dynamics were modulated by polyphenol oxidase (PPO) activity, superoxide&#xD;
dismutase (SOD), and phenolic content, indicating that when enzymatic protection becomes&#xD;
insufficient, phenolic compounds act as non-enzymatic antioxidants. Chromatographic analysis&#xD;
revealed selective accumulation of hydroxycinnamic acids and flavonoids, indicating activation&#xD;
of the phenylpropanoid pathway in response to post-processing stress. The wound healing&#xD;
process was strongly influenced by temperature. At 5 °C, an antioxidant response&#xD;
predominated, with no detectable lignin deposition. In contrast, at 20 °C, increased activities of&#xD;
phenylalanine ammonia-lyase (PAL) and peroxidase (POD) were observed, along with lignin&#xD;
deposition, characterizing a structural response. Overall, the results demonstrate that the quality&#xD;
of minimally processed yam is determined by the interaction between tuber region, storage&#xD;
temperature, and ascorbic acid application, highlighting the multifactorial nature of oxidative&#xD;
stress regulation in minimally processed yam.</description>
      <pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ri.ufs.br/jspui/handle/riufs/25414</guid>
      <dc:date>2026-02-26T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Prospecção, conservação, caracterização genética, química, morfoagronômica e sazonalidade em germoplasma de Croton blanchetianus Baill</title>
      <link>https://ri.ufs.br/jspui/handle/riufs/25370</link>
      <description>Título: Prospecção, conservação, caracterização genética, química, morfoagronômica e sazonalidade em germoplasma de Croton blanchetianus Baill
Autor(es): Costa, Rosemeire Santos
Abstract: Croton blanchetianus Baill. is a medicinal and aromatic species native to the Caatinga biome,&#xD;
widely distributed in the Brazilian Northeast. It is notable for its high bioactive and apicultural&#xD;
potential, and it is listed by the Ministry of Environment as a priority species for the region due&#xD;
to its potential economic importance. Nevertheless, its natural occurrence area is frequently&#xD;
reduced, primarily due to anthropogenic interventions. In view of the imminent threats to the&#xD;
species’ genetic variability, the Federal University of Sergipe (UFS) studied natural populations&#xD;
and subsequently established a collection of C. blanchetianus in its Active Germplasm Bank&#xD;
(AGB) for Medicinal and Aromatic Plants at UFS. This initiative allows the development of&#xD;
strategies for conservation and sustainable use of the species. The present research aims to&#xD;
evaluate the genetic and chemical diversity of natural populations of C. blanchetianus from&#xD;
municipalities in the state of Sergipe, as well as to establish a collection, characterize the&#xD;
accessions morpho-agronomically, chemically, and seasonally, and assess the antioxidant&#xD;
activity of the accessions conserved in the AGB. In the first article, the genetic diversity and&#xD;
structure of six natural populations of C. blanchetianus from different municipalities in the state&#xD;
were evaluated, using ISSR markers. Low genetic variability among populations (6%) was&#xD;
observed, and it was not possible to differentiate genotypes according to their geographic origin.&#xD;
In the second article, the chemical diversity of the essential oil from 70 genotypes of C.&#xD;
blanchetianus, collected from six natural populations in Sergipe, was evaluated. The major&#xD;
compounds found were α-pinene (1.60–13.37%), limonene (0.30–17.54%), β-phellandrene&#xD;
(4.38–16.04%), 1,8-cineole (0.16–13.56%), (E)-caryophyllene (0.31–13.14%), germacrene D&#xD;
(0.33–10.60%), bicyclogermacrene (5.06–27.47%), and spathulenol (4.34–29.83%),&#xD;
highlighting the broad chemical diversity of the species. In the third article, the morphoagronomic and chemical diversity of 26 C. blanchetianus accessions was characterized and&#xD;
analyzed. High variability among accessions was observed for all evaluated morpho-agronomic&#xD;
descriptors, particularly plant height (87.00–236.50 cm), crown diameter (48.75–131.00 cm),&#xD;
leaf area (74.50–176.37 cm²), dry mass (83.17–333.00 g/plant), and essential oil content (0.60–&#xD;
1.60%). Chemically, the accessions were mostly comprised of α-pinene (3.90–12.02%),&#xD;
limonene (0.88–10.72%), β-phellandrene (1.30–17.51%), 1,8-cineole (0.36–11.57%), (E)-&#xD;
caryophyllene (1.82–12.48%), germacrene D (0.38–10.12%), bicyclogermacrene (8.37–&#xD;
29.13%), and spathulenol (5.57–28.04%). In the fourth article, the chemical profile of the&#xD;
essential oil from leaves and fruits of five accessions of C. blanchetianus was analyzed,&#xD;
revealing quantitative and qualitative differences between plant organs. Leaves had a&#xD;
predominance of sesquiterpenes (37.34–62.03%), whereas fruits had higher levels of&#xD;
monoterpenes (23.97–61.03%). The exclusive presence of myrtenyl acetate in fruit essential oil&#xD;
indicates its potential as a chemical marker. In the fifth article, the seasonal influence (three&#xD;
harvest periods) on agronomic variables, chemical composition, and antioxidant activity of&#xD;
essential oil from 26 accessions of C. blanchetianus was evaluated. Accessions CBL-403 and&#xD;
CBL-503 showed the highest oil content (1.93%), while CBL-503 (17.41 g/plant) and CBL507 (17.38 g/plant) exhibited the highest essential oil yields. Sesquiterpenes predominated in&#xD;
harvests 1 and 2 (59.02% and 62.01%, respectively), while monoterpenes increased in harvest&#xD;
3 (40.01%). A high antioxidant potential was observed in accession CBL-301 (DPPH: 66.24%;&#xD;
ABTS: 92.51%). These results indicate that C. blanchetianus exhibits exploitable genetic,&#xD;
morpho-agronomic, and chemical variability, and that its essential oils show seasonal plasticity&#xD;
and antioxidant activity.</description>
      <pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ri.ufs.br/jspui/handle/riufs/25370</guid>
      <dc:date>2026-02-24T00:00:00Z</dc:date>
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