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        <rdf:li rdf:resource="https://rd.uffs.edu.br/handle/prefix/8957" />
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    <dc:date>2025-12-02T16:13:39Z</dc:date>
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  <item rdf:about="https://rd.uffs.edu.br/handle/prefix/8957">
    <title>Efeito da classificação na qualidade de sementes salvas de soja</title>
    <link>https://rd.uffs.edu.br/handle/prefix/8957</link>
    <description>Title: Efeito da classificação na qualidade de sementes salvas de soja
Author: Fitz, Diego Airton Seibt
First advisor: Poersch, Nerison Luís
Abstract: Soybeans play a crucial role in the Brazilian agricultural economy, being essential to the Gross Domestic Product. Seed quality, both physiologically and genetically, is fundamental, encouraging producers to process their own seeds to reduce costs. This study focuses on soybean seed cleaning, assessing mechanical damage during the cleaning and standardization process. The experiment involves five varieties subjected to four different treatments. Samples were collected before and after air and sieve cleaning, as well as spiral cleaning. In the laboratory, samples were evaluated for purity, moisture content, germination test, and damage assessment, particularly caused by the use of hypochlorite. The expectation is to obtain seeds with high germination and vigor, free from impurities and mechanical damage, which can increase productivity and reduce costs for producers, thereby improving plant quality at planting. The machine factor had no significant impact on the weight of one thousand seeds (PMS), while the cultivar factor was significant at 1% for all variables. The interaction between machine and cultivars also did not influence the PMS variable. Regarding root length, cultivar DM 63i64 stood out with greater length in the control and in the classifier, while in cultivar Fibra, the best results were with the sieve. Cultivars DM 60i64 and GH 5933did not show significant differences between the methods, and cultivar NG 560 performed better with the combination of classifier and sieve. Cultivars Fibra and DM 60i64 presented the best averages, without significant differences between them when using classifier + sieve, differing from the others. When only the classifier was considered, cultivars DM 63i64, Fibra, DM 60i64 and GH 5933 showed similar results in root length.
Publisher: Universidade Federal da Fronteira Sul
Type: Monografia</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://rd.uffs.edu.br/handle/prefix/8956">
    <title>Estimativa de área foliar em cultivares de videira</title>
    <link>https://rd.uffs.edu.br/handle/prefix/8956</link>
    <description>Title: Estimativa de área foliar em cultivares de videira
Author: Kreutz, Eduarda
First advisor: Radons, Sidinei Zwick
Abstract: Brazil stands out as one of the world's largest fruit producers. Among the fruit crops, there is a special focus on grapes, which have been gaining ground on several fronts. National production has grown, driven by increased domestic consumption as well as the expansion of exports. One of the parameters used to estimate crop production is the leaf area index (LAI), which is of great importance for evaluating plant growth. Its correct determination during the crop cycle makes it possible to model plant growth and development, and consequently the productivity and total production of the crop. Leaf area is considered an indicative criterion of productivity. The objective of this work was to obtain mathematical models to estimate the leaf area of three grape cultivars available in the northwest region of Rio Grande do Sul using&#xD;
the non-destructive method, based on the linear dimensions of the leaves. Through the collected data, 3 models were obtained to estimate the leaf area of grapevine cultivars, which presented a high coefficient of determination. The models that were generated to estimate leaf area from the product of the leaf blade width were the most accurate for the three cultivars. Likewise, the leaf blade width estimation models were the ones that achieved the greatest accuracy. The linear model generated from the width of the leaf blade was the most precise, accurate and reliable for estimating the leaf area of the grapevine, regardless of the cultivar analyzed. Comparing the observed leaf area with the estimated leaf area, it can be seen that&#xD;
the models showed good precision, and can therefore all be used to estimate the leaf area with good correlations between the estimated and observed areas. When the leaves to be analyzed are larger, the equations tend to overestimate the value of the leaf area.
Publisher: Universidade Federal da Fronteira Sul
Type: Monografia</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://rd.uffs.edu.br/handle/prefix/8946">
    <title>Condições de luminosidade e temperatura na germinação de Tagetes erecta L. E Catharanthus roseus (L.) G. Don</title>
    <link>https://rd.uffs.edu.br/handle/prefix/8946</link>
    <description>Title: Condições de luminosidade e temperatura na germinação de Tagetes erecta L. E Catharanthus roseus (L.) G. Don
Author: Knob, Aline Neis
First advisor: Radons, Sidinei Zwick
Abstract: In Brazil, floriculture has been gaining prominence in recent years and is characterized as one of the most promising business activities in the agribusiness field, especially benefiting from the country's favorable soil and climate conditions and high productivity in small areas. In the southern region, Rio Grande do Sul stands out in the production of ornamental herbaceous plants, important flowers used in landscaping projects. In this sense, understanding the germination process of ornamental species of economic importance is essential to enable a regular supply and aesthetic quality for the consumer market. Thus, the present study aims to trace the germination curve of Tagetes and Vinca seeds as a function of light and temperature. The bioassays were conducted in the seed and plant physiology laboratory of the Federal University of the Southern Frontier, in a completely randomized design, using four replicates&#xD;
of 25 seeds of each species at five constant temperatures of 8ºC, 16ºC, 24ºC, 32ºC and 40ºC with absence and presence of light in a photoperiod of 12 hours of daily light. The evaluation was made through the daily germination count, speed index and seedling length. The results were submitted to the ANOVA test with 5% probability of error using the SISVAR software. In case of significance, regression analysis was performed. The results obtained demonstrate that both Tagetes and Vinca germinate in the dark and in the presence of photoperiod. For Tagetes, darkness enhanced germination at 8ºC and the presence of light induced germination at higher temperatures. For Vinca, better germination results, germination speed index and seedling length were obtained in the dark, between 24 and 32ºC. The species did not germinate at a temperature of 8ºC. Temperatures of 24 and 32ºC increase germination speed and seedling length for both species, but above 24ºC germination is impaired.
Publisher: Universidade Federal da Fronteira Sul
Type: Monografia</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://rd.uffs.edu.br/handle/prefix/8945">
    <title>Efeito da temperatura na germinação de sementes de soja com diferentes tamanhos</title>
    <link>https://rd.uffs.edu.br/handle/prefix/8945</link>
    <description>Title: Efeito da temperatura na germinação de sementes de soja com diferentes tamanhos
Author: Lima, Alan Gabriel dos Santos
First advisor: Radons, Sidinei Zwick
Abstract: The effect of sieve size and the ideal temperature for optimal initial growth of soybean seedlings are characteristics that are difficult to analyze and are infrequently studied by some authors, with varied results. This indicates a need for research that offers greater clarity for seed producers and marketers. Therefore, the aim of this study was to evaluate the interaction between temperatures and sieve sizes on soybean seed germination. To assess the effects of different temperatures and sieve sizes on the initial growth of soybean plants, seeds from the cultivar 55157RSF IPRO (ZEUS) were used, provided by Sementes Giovelli, located in Rolador, RS. The seeds were classified into three sieve sizes (6,0 mm, 6,5 mm, and 7,0 mm) from the 2024/2024 harvest. The experiment was conducted at the Seed Laboratory of the Federal University of Fronteira Sul (UFFS) - Cerro Largo campus, in June 2024. A completely&#xD;
randomized design (CRD) with a bifactorial arrangement (5x3) was used, consisting of 5 temperature levels (8°C, 16°C, 24°C, 32°C, and 40°C) and 3 sieve sizes (6,0 mm, 6,5 mm, and 7,0 mm), with 4 repetitions, totaling 60 experimental units, each consisting of 25 seeds, or 100 seeds per treatment. In the laboratory, the treatments were evaluated through germination tests, germination speed index (GSI), radicle length, and radicle fresh weight. The data obtained were subjected to analysis of variance (ANOVA) using the F-test, and means were compared using Tukey's test at a 5% probability level. The smaller seeds (6,0 mm) showed better GSI values, regardless of the temperature. Larger seeds (6,5 mm and 7,0 mm) had better radicle length results compared to smaller seeds (6,0 mm). The largest seeds (7,0 mm) showed higher values of radicle fresh weight at 24,4°C. Smaller seeds (6,0 mm) were more stable in both radicle length and fresh weight. Seeds classified into different sizes (6,0 mm, 6,5 mm, 7,0 mm) showed no differences in germination percentages. The ideal temperature for maximum soybean seed&#xD;
germination was found to be 28,3°C.
Publisher: Universidade Federal da Fronteira Sul
Type: Monografia</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
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