Made available in DSpace on 2014-08-20T13:44:30Z (GMT). No. of bitstreams: 1 dissertacao_eduardo_da_silveira_goulart.pdf: 299684 bytes, checksum: 7ca742a050e5fef40fcdef705495dd58 (MD5) Previous issue date: 2012-12-05 / The practices and techniques used in irrigated rice to obtain better performances include the optimal density and the best arrangement of plants in the area. This study aims to evaluate the behavior and plasticity in the yield and grain quality of three rice hybrids with different sowing arrangements in the density and row spacing. The experimental field was conducted in rice season 2010/2011 in Capão do Leão, Viamão and Uruguaiana at Rio Grande do Sul state. Three different sowing arrangements, involving row spacing with 17 cm, 34 cm and 17cm intercalated with 34 cm which corresponded respectively to densities of 40 kg.ha-1, 20 kg.ha-1 and 32 kg.ha-1. The experimental design used was randomized blocks with sub divided plots with three replications considering each location as a replication. Were evaluated the yield and grain quality. The results show that the grain yield and grain quality components of hybrid rice were not affected by sowing arrangement. The hybrids behavior demonstrates the plasticity to compensate lower densities and different distance between planting rows. This allow recommendations of seeding rates and row spacing for these hybrids reducing the amount of seed to be sown per area compared with what is currently recommended. It means cost reduction and can make the use of this technology more attractive and widely used in commercial rice fields. / Entre as práticas empregadas no cultivo do arroz irrigado para se obter melhores rendimentos, a escolha da densidade ideal e do melhor arranjo de plantas na área são muito importantes. O presente trabalho objetiva avaliar o comportamento e a plasticidade de três híbridos de arroz com relação à produtividade e qualidade industrial, quando os arranjos de semeadura envolvem variações na densidade e espaçamento entre linhas. O trabalho foi conduzido na safra 2010/2011 nos municípios do Capão do Leão, Viamão e Uruguaiana. Foram testados três arranjos de semeadura, com espaçamentos entre linhas de 0,17m, 0,34m e linhas intercaladas com 0,17 e 0,34m, que corresponderam respectivamente às densidades de 40kg.ha-1, 20kgha-1 e 32kg.ha-1. O delineamento experimental foi de blocos ao acaso, com parcelas subdivididas, com três repetições, considerando o local como repetição. Avaliou-se o rendimento e a qualidade industrial dos grãos. Os resultados mostram que a produtividade e os componentes de qualidade industrial dos genótipos não foram afetados pelos diferentes arranjos de semeadura. Este comportamento mostra a plasticidade dos híbridos em compensar as densidades menores e as diferentes distribuições das linhas de semeadura. Isso torna possível a flexibilização das recomendações de densidades de semeadura e espaçamentos entre linhas para estes híbridos, permitindo a redução da quantidade de sementes a ser semeada por área, em relação ao que está sendo atualmente recomendado, dessa forma reduzir os custos de produção e tornar o uso desta tecnologia mais atraente e largamente utilizada nas lavouras comerciais de arroz irrigado.

<p dir="ltr">Sweetpotato (<i>Ipomoea batatas</i> L.) is a staple crop that provides nutritional benefits to humans globally, but it is subjected to yield loss when competing with weeds, especially during the early stage of establishment. Despite increased organic sweetpotato production in the United States, growers face challenges with limited weed management options and often resort to time-consuming and costly cultivation and hand-weeding. To address this challenge, experiments were developed to determine (1) the effect of sweetpotato cultivar on the critical weed-free period, (2) the effects of in-row plant spacing and cultivar selection on weed suppression and sweetpotato yield, and (3) the impact of buckwheat and silage tarps for row-middle weed control. 1) In 2022, field research was conducted at the Samuel G. Meigs Horticulture Research Farm (Meigs), Lafayette, IN, and at the Southwest Purdue Agricultural Center (SWPAC), Vincennes, IN to estimate the critical weed-free period for ‘Covington’, ‘Murasaki’, and ‘Monaco’ in the Midwest. The experiment was a split-plot design, with weed-free interval treatments as the main plot factor and cultivar as the subplot factor. Weeds were removed by hand and allowed to establish and compete with the crop beginning at 0, 14, 21, 28, 35, or 42 days after transplanting (DAP). As weed-free interval increased from 0 to 42 DAP, predicted total yield increased from 19 kg ha^-1 to 20,540 kg ha^-1for Covington, 3 kg ha^-1 to 11,407 kg ha^-1 for Monaco, and 125 kg ha^-1to 13,460 kg ha^-1for Murasaki at the Lafayette location. A threshold of ≤10% total yield reduction was achieved by maintaining sweetpotatoes weed-free 24 DAP for Covington, 20 DAP for Murasaki, and 33 DAP for Monaco. 2) In 2022 and 2023, studies were conducted at Meigs, Lafayette, IN and SWPAC, Vincennes, IN to evaluate in-row plant spacing and cultivars for weed control and sweetpotato yield. The experiment was a split-split plot design, with in-row spacings of 20, 30, and 40 cm as the main plot factor, weeding frequency (‘critical weed-free period’ and ‘weed free’) as the subplot factor, and sweetpotato cultivar (‘Covington’ and ‘Monaco’) as the sub-subplot factor. However, in 2022, we evaluated only in-row spacing and weeding frequency because of poor establishment of Monaco. In-row spacing had no significant effect on weed densities at 4, 5, and 6 WAP. As in-row spacing increased from 20 to 40 cm, total sweetpotato yield pooled across both locations in 2023 decreased from 30,223 to 21,209 kg ha^-1 for Covington and 24,370 to 20,848 kg ha^-1 for Monaco, however, jumbo yield increased for both cultivars. Findings from this study suggest that an in-row spacing of 20 cm may provide greater yield than the standard spacing, 30 cm, for both Monaco and Covington cultivars and could reduce weed interference through more rapid sweetpotato canopy closure. 3) The experiment was a randomized complete block design, with three row-middle treatments [tarp, buckwheat, and cultivation] and four replicates. Row-middle treatments were established immediately after transplanting ‘Covington’ slips 30 cm apart into raised bed plots consisting of a single row 6 m long and 2 m apart on-center. Buckwheat was planted three weeks after transplanting (WAP) at a rate of 108 kg ha^-1 in row-middle. Row-middles for the tarp treatment were covered for the entire growing season. Weed density at 6 WAP was 184 plants m^-2 for the buckwheat, and 162 plants m^-2 for the cultivation treatments. Total yield was 11,050 kg ha^-1 for the buckwheat, 19,790 kg ha^-1 for the cultivation, and 17,810 kg ha^-1 for the tarping treatments. Tarping effectively suppressed weeds and produced sweetpotato yields comparable to cultivation indicating potential for organic growers. Buckwheat yields were lower than those from tarping and cultivation.</p>

Background: This research explores the integration of satellite imagery and imageprocessing techniques to innovate forest monitoring methods. Traditional approachesoften fall short in scale and efficiency, necessitating enhanced techniques for accurateforest structure analysis. Objectives: The main goal is to develop a software prototype capable of automat-ing the measurement of tree row spacing and detecting clearing areas within forests,thereby facilitating more informed and efficient forest management and conservationefforts. Methods: The study employed computer vision techniques and image processingalgorithms using OpenCV to process high-resolution satellite images. The develop-ment and testing of the prototype involved iterative enhancements to refine accuracyand functionality. Results: The findings demonstrate that the prototype successfully identifies andmeasures forest structural features with high accuracy, confirming the effectivenessof integrating computational techniques with ecological monitoring practices. Conclusions: The successful application of satellite imagery and image processingsignificantly enhances forest monitoring capabilities, promoting sustainable forestmanagement. This research underscores the potential of technology to transformenvironmental conservation efforts by providing detailed, reliable data that supportsproactive management strategies. / Bakgrund: Denna forskning utforskar integrationen av satellitbilder och avanceradebildbehandlingstekniker för att innovera metoder för skogsövervakning. Traditionellatillvägagångssätt är ofta bristfälliga i skala och effektivitet, vilket kräver förbättradetekniker för noggrann analys av skogsstrukturer. Syften: Huvudmålet är att utveckla en programvaruprototyp som kan automatiseramätningen av trädradsavstånd och upptäcka kalhyggen inom skogar, vilket underlät-tar mer informerad och effektiv skogsförvaltning och bevarandeinsatser.Metoder: Studien använde datorsynstekniker och bildbehandlingsalgoritmer medOpenCV för att bearbeta högupplösta satellitbilder. Utvecklingen och testningen avprototypen involverade iterativa förbättringar för att förfina noggrannhet och funktionalitet. Resultat: Resultaten visar att prototypen framgångsrikt identifierar och mäterskogsstrukturella egenskaper med hög noggrannhet, vilket bekräftar effektivitetenav att integrera avancerade datatekniker med ekologiska övervakningsmetoder. Slutsatser: Den framgångsrika tillämpningen av satellitbilder och bildbehandlingförbättrar avsevärt möjligheterna till skogsövervakning och främjar hållbar skogsför-valtning. Denna forskning understryker teknikens potential att transformera miljöbe-varande insatser genom att tillhandahålla detaljerade, tillförlitliga data som stöderproaktiva förvaltningsstrategie