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Crop improvement is necessary for food security as the global population is expected to exceed 9 billion by 2050. Limitations in water resources and more frequent droughts and floods will make it increasingly difficult to manage agricultural resources and increase yields. Therefore, we must improve our ability to monitor agronomic research plots and use the information they provide to predict impacts of moisture stress on crop growth and yield. Towards this end, agronomists have used reductions in leaf expansion rates as a visible ‘plant-based’ indicator of moisture stress. Also, modeling researchers have developed crop models such as AquaCrop to enable quantification of the severity of moisture stress and its impacts on crop growth and yield. Finally, breeders are using Unmanned Aircraft Systems (UAS) in field-based High-Throughput Phenotyping (HTP) to quickly screen large numbers of small agronomic research plots for traits indicative of drought and flood tolerance. Here we investigate whether soybean canopy cover and color time series from high-resolution UAS ortho-images can be collected with enough spatial and temporal resolution to accurately quantify and differentiate agronomic research plots, pinpoint the timing of the onset of moisture stress, and constrain crop models such as AquaCrop to more accurately simulate the timing and severity of moisture stress as well as its impacts on crop growth and yield. We find that canopy cover time series derived from multilayer UAS image ortho-mosaics can reliably differentiate agronomic research plots and pinpoint the timing of reductions in soybean canopy expansion rates to within a couple of days. This information can be used to constrain the timing of the onset of moisture stress in AquaCrop resulting in a more realistic simulation of moisture stress and a lower likelihood of underestimating moisture stress and overestimating yield. These capabilities will help agronomists, crop modelers, and breeders more quickly develop varieties tolerant to moisture stress and achieve food security.

Traditional irrigation was practiced in Ethiopia since time immemorial. Despite this, water productivity in the sector remained low. A survey on the Godino irrigation scheme revealed that farmers used the same amount of water and intervals, regardless of crop species and growth stage. In an effort to improve the water productivity, two traditional irrigation scheduling methods were compared with two scientific methods, using furrow irrigation. The growth performance and tuber yield of potato (cv. Awash) revealed that irrigation scheduling using a neutron probe significantly outperformed the traditional methods, followed by the SWB model Irrigation Calendar. Since the NP method involves high initial cost and skills, the use of the SWB Calendar is suggested as replacement for the traditional methods. SWB is a generic crop growth model that requires parameters specific to each crop, to be determined experimentally before it could be used for irrigation scheduling. It also accurately describes deficit irrigation strategies where water supply is limited. Field trials to evaluate four potato cultivars for growth performance and assimilate partitioning, and onions' critical growth stages to water stress were conducted. Crop-specific parameters were also generated. Potato and onion crops are widely grown at the Godino scheme where water scarcity is a major constraint. These crop-specific parameters were used to calibrate and evaluate SWB model simulations. Results revealed that SWB model simulations for Top dry matter (TDM), Harvestable dry matter (HDM), Leaf area index (LAI), soil water deficit (SWD) and Fractional interception (FI) fitted well with measured data, with a high degree of statistical accuracy. The response of onions to water stress showed that bulb development (70-110 DATP) and bulb maturity (110-145) stages were most critical to water stress, which resulted in a significant reduction in onion growth and bulb yields. SWB also showed that onion yield was most sensitive to water stress during these two stages. An irrigation calendar, using the SWB model, was developed for five different schemes in Ethiopia, using long-term weather data and crop-specific parameters for potatoes and onions. The calendars revealed that water depth varied, depending on climate, crop type and growth stage. / Thesis (PhD)--University of Pretoria, 2009. / Plant Production and Soil Science / unrestricted

Twenty years ago the public schoolyards in Boston, Massachusetts were in a deplorable state: most were entirely paved, seriously neglected and used predominantly for parking. Since 1995, the Boston Schoolyards Initiative (BSI) has worked to transform these spaces into vibrant environments of recreation and learning. Renovations typically include adding play structures, gardens, murals and seating that can engage children at recess or support an educational activity. Recent research has shown that BSI renovations have had a positive impact on student academic performance (Lopez, Jennings and Campbell, 2008), but little attention has yet focused on how these revived and greened spaces have contributed to citywide urban greening efforts and to the environmental quality of their surrounding neighborhoods. This study uses design plans and GIS data to compare pre- and post-renovation canopy cover and pervious surfaces at 12 BSI schools. Data analysis included both an examination of the percent increase in canopy cover and pervious surfacing as well as exploration of the spatial configuration of green space and play space within the newly designed schoolyards. Data indicates that overall BSI renovations have a slightly positive impact on canopy cover and pervious surfacing, but gains are not uniform and many schools are left not meeting citywide goals for canopy cover and pervious surfacing. In addition, schoolyard designs emphasized traditional play structures and paved spaces, subordinating opportunities for children to interact with vegetation. Although eight school renovations included an outdoor classroom with natural features, only one provided any space for children to interact more informally with vegetation. Schools are organized into five different typologies based on the proportions of spaces they contain and spatial configurations, and one typology is recommended as a model for future renovations. In conclusion, this study addresses the challenges and constraints facing urban schoolyard renovations and proposes a framework for integrating recommendations in an iterative experimental manner.

Woodlands constitute the subsistence base of the majority of people in the Sudano-Sahelian zone (SSZ), but low availability of in situ data on vegetation structure and composition hampers research and monitoring. This thesis explores the utility of remote sensing for mapping and analysing vegetation, primarily trees, in the SSZ. A comprehensive literature review was first conducted to describe how the application of remote sensing has developed in the SSZ between 1975 and 2014, and to identify important research gaps. Based on the gaps identified in the literature review, the capabilities of two new satellite systems (WorldView-2 and Landsat 8) for mapping woodland structure and composition were tested in an area in central Burkina Faso. The results shows that WorldView-2 represents a useful data source for mapping individual trees: 85.4% of the reference trees were detected in the WorldView-2 data and tree crown area was estimate with an average error of 45.6%. In addition, WorldView-2 data produced high classification accuracies for five locally important tree species. The highest overall classification accuracy (82.4%) was produced using multi-temporal WorldView-2 data. Landsat 8 data proved more suitable for mapping tree canopy cover as compared to aboveground biomass in the woodland landscape. Tree canopy cover and aboveground biomass was predicted with 41% and 66% root mean square error, respectively, at pixel level. This thesis demonstrates the potential of easily accessible data from two satellite systems for mapping important tree attributes in woodland areas, and discusses how the usefulness of remote sensing for analyzing vegetation can be further enhanced in the SSZ. / Merparten av befolkningen i Sudano-Sahel zonen (SSZ) är beroende av naturresurser och ekosystemtjänster från woodlands (öppen torrskog) för att säkra sin försörjning. Tillgången av fältmätningar av vegetationens struktur och sammansättning är mycket låg i detta område, vilket utgör ett problem för forskning och miljöövervakning. Denna avhandling undersöker nyttan av fjärranalys för att kartlägga och analysera vegetation, främst träd, i SSZ. En omfattande litteraturöversikt genomfördes först för att undersöka hur tillämpningen av fjärranalys har utvecklats i SSZ mellan 1975 och 2014, samt att identifiera viktiga forskningsluckor. Några av de luckor som konstaterades i litteraturgenomgången låg till grund för de följande studierna där två nya satellitsystem (Worldview-2 och Landsat 8) utvärderades för deras användbarhet att kartlägga trädtäckets struktur och artsammansättning i ett woodland-område i centrala Burkina Faso. Resultaten visar att Worldview-2 är en värdefull datakälla för kartering av enskilda träd: 85.4% av referensträden detekterades och trädkronornas storlek uppskattades med ett medelfel av 45.6%. Worldview-2-data producerade även hög klassificeringsnoggrannhet för de fem lokalt viktigaste trädslagen. Den högsta noggrannheten (82.4%) uppnåddes med multi-temporal Worldview-2-data. Landsat 8 data visade sig mer lämpade för kartering av krontäcke, jämfört med biomassa. Medelfelet för karteringen var 41% för krontäcke och 66% för biomassa, på pixelnivå. Avhandlingen visar att lättillgängliga data från två satellitsystem är användbara för kartläggning av viktiga trädattribut i woodlands, samt diskuterar hur nyttan av fjärranalys för vegetationsanalys kan ökas ytterligare i SSZ.

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Made available in DSpace on 2016-06-02T19:30:03Z (GMT). No. of bitstreams: 1 6171.pdf: 4392868 bytes, checksum: 676201b8bd1c6ecafe3c9456c172eb96 (MD5) Previous issue date: 2014-02-28 / Financiadora de Estudos e Projetos / The forests management and conservation are recently subjects discussed throughout the world, because they are directly correlation with the maintenance of environmental functions and services provided by natural environments. With growth of urban centers and extensive agriculture the natural areas have suffered and are suffering a big pressure making arise degraded areas constantly that encourage the recuperation movement in those areas. Moreover, the selective cut and the formation natural or artificial clearings make discontinuities in the canopy, irregularities reflected in the structure and profile. However, to realize the restoration and management, for example, a forest, first must to know your conservation state. This thesis intend to map more and less conserved areas through the analysis of structure and integrity in the canopy, realized with: canopy cover images, canopy closure images, vertical profile sketch, panchromatic image HRC of satellite CBERS-2B, and techniques digital image processing, beyond field survey. With intention to create a model able to identify, map, and monitor the forest degraded. / A conservação e manejo das florestas são temas muito atuais e discutidos em todo mundo, devido ao fato de estarem diretamente correlacionados com a manutenção das funções e serviços ambientais prestados pelos ambientes naturais. Com o crescimento dos centros urbanos e da agricultura extensiva, as áreas naturais sofreram e estão sofrendo uma grande pressão fazendo com que surjam constantemente áreas degradadas que acabam impulsionando o movimento de recuperação dessas áreas. Além disso, o corte seletivo e a formação de clareiras naturais ou artificiais produzem descontinuidades no dossel, refletindo em irregularidades na estrutura e no perfil. No entanto, para se realizar a recuperação e manejo, por exemplo, de uma floresta, deve-se primeiro conhecer seu estado de conservação. Esta tese pretende mapear áreas mais e menos conservadas, através da análise da estrutura e integridade do dossel, realizada com: imagens da cobertura do dossel, imagens da oclusão do dossel, desenho do perfil vertical, imagem pancromática HRC do satélite CBERS-2B e técnicas de processamento digital de imagens, além de levantamentos de campo. Com o intuito de criar um modelo capaz de identificar, mapear e monitorar a degradação de uma floresta.

Ekträd har en central roll i den biologiska mångfalden, där de utgör både livsrum och födkrok för ett stort antal insekter, lavar, svampar och fåglar under sin långa livstid och därefter i den döda veden. Ek har minskat dramatiskt under de senaste 200 åren, men orsakerna till detta är inte helt klarlagda. I östra Nordamerika har den försämrade föryngringen av ek kopplats till de betydligt färre skogsbränderna och ur detta har den s.k. brand-ek-hypotesen uppstått. Denna säger att branden spelar en viktig roll i ekens föryngring i östra USA och i Nordamerika p.g.a. att eken är bättre anpassad än många andra träd för att klara brand, vilket ger den en konkurrensfördel som gör att den inte bara gynnas av brand, utan också kan vara beroende av den. Jag har studerat hur föryngring av ek påverkats av en naturvårdsbränning som genomförts i Krogölen i Allgunnens naturreservat i sydöstra Sverige. Hypotesen är att brand har en gynnsam effekt på ekföryngring även i Sverige och att brand-ek-hypotesen är tillämpbar också här. Detta kunskapsområde är relevant för naturvården i Sverige när det gäller att planera naturvårdsbränningar i områden med förekomst av ek. Eftersom studien har genomförts som en pilotstudie, där endast ett brandområde studerats, kan inga slutsatser om generella brandfältseffekter dras. Mina resultat talar för att krontäckning har en effekt på tätheten av fröplantor i Krogölen, och att den har större betydelse i brandfältet än i det obrända området, vilket talar emot brand-ek-hypotesen. Effekten av brand och krontäckning förklarar i denna studie 21,8% av variationen i den rottransformerade fröplanttätheten per 12,6 m2. Det går inte att se någon ökning av fröplantor eller rotskott i det brända området jämfört med det obrända. För framtida studier skulle det vara intressant att titta på fröplantors dödlighet i olika livsstadier under varierande ljusförhållanden, effekten av predation i brandfält, hur olika brandintensitet kan inverka på ekens föryngring samt bestående effekter av brand över tid och betydelsen av i vilket utvecklingsstadie branden skett. / Oak trees have a central role in biodiversity, where they serve as both a habitat and a feeding ground for a large number of insects, lichens, fungi and birds during its long life and thereafter in the dead wood. Oak has declined dramatically over the past 200 years, but the reasons for this are not entirely known. In eastern North America, the deteriorating regeneration of oak has been linked to the significantly less forest fires and from this the so-called fire-oak hypothesis have emerged. It states that the fire plays an important role in the regeneration of the oak in the eastern United States and North America due to the oak being better adapted than many other trees to endure fire, which gives it a competitive advantage that makes it not only benefit from fire, but also possibly depend on it. I have studied how the regeneration of oak has been affected by a prescribed fire in Krogölen in the Allgunnen nature reserve in the south-east of Sweden. My hypothesis is that fire has a favorable effect on oak regeneration also in Sweden and that the fire-oak hypothesis is also applicable here. This area of ​​knowledge is relevant for nature conservation in Sweden in planning prescribed fires in oak areas. As the study has been carried out as a pilot study, studying only one burned area compared to a none burned area, no conclusions about general fire effects can be drawn. My results suggest that canopy cover has an effect on the density of seed plants in Krogölen, and that it is more comprehensive in the fire field than in the unburned area, which is not conclusive with the fire-oak hypothesis. The effect of fire and canopy cover in this study explains 21.8% of the variation in the root-transformed seed plant density per 12.6 m2. There is no increase in seed plant density or root sprout density in the burned area compared to the unburned area. For future studies, it would be interesting to look at seed plant mortality in different life stages under varying light conditions, the effect of predation in fire fields, how different fire intensities can affect oak regeneration, lasting effects of fire over time and the significance of the oak developmental stage when the fire occurs.

<p> Soybean seed cost has dramatically increased in recent decades which has led to producer interest in lowering input cost through reductions in seeding rate. Fifty-eight seeding rate trials of soybean were conducted at field-scale in Indiana from 2010 to 2021 to update recommendations of seeding rates and plant population. The objectives were to determine the agronomic optimal seeding rate (AOSR) and plant population (AOPP) based on planting equipment, tillage practices, and planting date. Economic optimal seeding rate (EOSR) was also determined based on these field scenarios. Harvest AOPP was not influenced by planting equipment (~212,000 plants ha-1) or tillage (~239,000 plants ha-1), but AOSR varied. Soybean seeded with a row-crop planter optimized grain yield with 352,600 seeds ha-1; whereas, the grain drill required 75,200 more seeds ha-1. Soybean seeded into conventional tillage maximized grain yield at 380,400 seeds ha-1; whereas, under no-till conditions 41,400 more seeds ha-1 were required. Timely planting required 417,300 seeds ha-1 to optimize grain yield, which resulted in harvest AOPP of 216,700 plants ha-1. Conversely, late plantings required 102,800 fewer seeds ha-1 but 36,200 more plants ha-1 than timely planting. Depending on seed cost and soybean market price, seeding rates could be reduced 13,700 to 92,800 seeds ha-1 below AOSR to maximize profit.</p> <p>Secondly, digital imagery with high spatial resolution was collected with an unmanned aerial vehicle (UAV) to develop a simple and practical method to segment soybean from non-plant pixels. The best vegetation indices were selected to segment young soybean plants (VC to V6). Two field-scale trials of soybean were planted in 2020 with the agronomic trial design of two varieties x five seeding rates with three replications. The imagery was collected during this period as it coincides with the time for determining whether a soybean stand should be replanted. Five relative vegetative indices based on the red, green, and blue (RGB) imagery were evaluated: excess greenness index (ExG), excess redness index (ExR), green leaf index (GLI), normalized green-red difference index (NGRDI) and visible atmospheric resistance index (VARI). Both GLI and ExG were superior in overall accuracy compared to all other vegetative indices with very small soybean plants (VC to V1 growth stages). VARI and NGRDI had relatively poor overall accuracy at VC and V1, but had similar overall accuracy to GLI as soybean plants grew larger (V2 to V6 growth stages). Across all growth stages and locations, ExR performed the poorest. Moreover, GLI had consistent performance across the range of growth stages, suggesting its suitability for early soybean stand assessment methods.</p> <p>Six field-scale trials were established in 2020 and 2021 in Indiana with two varieties seeded from 123,000 to 618,000 seeds ha-1. Canopy cover was calculated using GLI to create binary segmentation of plant pixels and non-plant pixels. UAV-derived canopy cover measurements were correlated with plant population of soybean from VC to V4 and growing degree days (GDD) after planting. Yield potential (75, 80, 85, 90, 95, 100%) was correlated with canopy cover from VC to V4 and GDD after planting. Canopy cover of 2.1, 5.0, 8.9 and 13.8% by 150, 250, 350, and 450 GDD°C after planting, respectively, would maximize yield. Canopy cover for 75% yield potential was one-fourth as much as the 100% yield potential. Recommended threshold for replant decisions should be based on canopy cover to attain 95% yield potential. Field observations below a canopy cover of 1.8, 4.2, 7.4, and 11.5% canopy cover by 150, 250, 350, and 450 GDD°C after planting respectively, would consider replanting. </p>

<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>