<p>The management of gray mold, caused by the fungus <em>Botrytis cinerea</em>, on ornamental plants relies heavily on fungicide applications. To improve fungicide efficacy, the manipulation of nozzle type, spray volume, and pressure influence droplet size (µm) and density (droplets/cm2) on the leaf’s surface. However, leaf wettability dictates how well the application droplets adhere and spread across the surface. When leaf surfaces are waxy (hydrophobic) or hairy (tomentose), droplets fail to adhere, impacting fungicide sorption.</p> <p>The goal of this research was to evaluate how the interaction of droplet density and leaf wettability impact the efficacy of chemical and biological fungicides against <em>Botrytis cinerea</em>. Leaf surfaces vary between species, within species, leaf age, and leaf sides (abaxial or adaxial). Hydrophobic leaf surfaces influence fungicide efficacy by reducing fungicide droplet spread compared to the wettable and hydrophilic leaf surfaces. The presence of trichomes on the leaf surface can inhibit droplets from reaching the surface.</p> <p>To quantify droplet density, a fine and coarse spray of fungicide treatments was applied with a yellow fluorescent dye. After application, <em>Begonia</em> x <em>hybrida</em> ‘Dragon wing’ leaves were placed on black, blackout curtains below a blacklight. Images were analyzed by ImageJ, using an image processing method. The number of lesions, disease incidence, were counted to observe fungicide efficacy. Results show there was no interaction between the actual droplet density within treatments applied with fine and coarse sprays. However, the interaction between spray type (fine and coarse) and treatments can have a significant effect on disease incidence. Disease incidence was significantly different between the systemic and contact fungicides for fine and coarse sprays. However, the systemic fungicide treatment had the highest disease incidence compared to the contact fungicide.</p> <p>To assess leaf wettability impact on fungicide efficacy, five <em>Begonia </em>species (<em>B. scharffii, B. erythrophylla, B. </em>x<em> hybrida ‘</em>Dragon Wing’<em>, B. epipsila, and B. goldingiana</em>) were used based on their observed leaf surface type. A contact angle goniometer was used to take pictures of a droplet on <em>Begonia</em> leaf surfaces. The quantification of the leaf surface took place by using the ImageJ program ‘Drop-Snake’ within the plugin ‘Drop Analysis’. The number of lesions, an indicator of disease incidence, were counted to observe fungicide efficacy. Results showed the contact angles were different between the <em>Begonia</em> species. There was a significant interaction between the <em>Begonia</em> species and treatments, where <em>Begonia</em> ‘hairy’ and ‘waxy’ leaf surfaces can influence fungicide efficacy. However, there was no significance for the interaction between <em>Begonia</em> species’ contact angles and treatments.</p> <p>These studies advance our understanding of how droplet density and leaf surfaces influence fungicide efficacy, thus improving our ability to manage <em>Botrytis</em> for diverse ornamental plants. </p>

<p dir="ltr">The Asiatic garden beetle (AGB), in its larval stage, has become an increasingly detrimental to the health of commercially grown mint in northern Indiana by feeding on their roots. In my research, I have optimized a method to quantify populations by determining the proper sample size to maintain accurate and precise estimates, determining the best sampling method and sampling scheme. Additionally, I established the relationship between AGB larval feeding and mint performance and have established a threshold of the average number of larvae required to cause significant yield loss. </p>

<p dir="ltr">Palmer amaranth (Amaranthus palmeri S. Watts) and waterhemp [Amaranthus tuberculatus (Moq.) J. D. Sauer] are two of the most troublesome weeds in U.S. soybean production and the auxin herbicides dicamba and 2,4-D, are currently used extensively for postemergence control of these species. In some cases, complete control of weeds at the time of auxin application is not achieved due to adverse environmental conditions, plant factors or misapplications. In these instances, a subsequent postemergence herbicide may be required to control any plant that survived the initial auxin herbicide application. This research was conducted to determine the efficacy and optimal successive time interval between applications of viable postemergence herbicides in soybean on Palmer amaranth and waterhemp plants surviving a previous application of 2,4-D or dicamba. Results from this research indicated that respraying a failed auxin herbicide application with a subsequent auxin herbicide, especially dicamba, was less effective than respraying with glufosinate or fomesafen to control waterhemp in addition to being a less desirable approach for resistance management. Additionally, respray herbicide applications should target 7 to 14 d after the initial failed herbicide application on waterhemp for optimal overall efficacy. When dicamba was the initial herbicide sprayed on Palmer amaranth, 94% or greater control was achieved with glufosinate in 2019 on a 7- and 14-d respray interval, which was greater than the efficacy observed with either dicamba or 2,4-D (< 82%). In 2020, these differences in herbicide efficacy were not evident within these time intervals. These general trends in treatment differences were also manifested in the data for plant height, biomass and viable apical meristems. When 2,4-D was the initial herbicide sprayed on Palmer amaranth, fomesafen and glufosinate applications on a 7-d respray interval and glufosinate on a 14-d respray interval resulted in greater control than 2,4-D in 2019. All other trends in herbicide treatments and time intervals were consistent with dicamba applied as the initial herbicide. Another part of his research was conducted with the objective of quantifying herbicide spray solution deposition and herbicide efficacy on waterhemp growing in different densities plant densities: low, high-thinned and high densities. In both field and greenhouse experiments, spray deposition (µl cm-2) on waterhemp leaves was up to 53% less on plants grown in high density compared to the other density treatments. Even though no differences in herbicide deposition between low and the high-thinned densities were observed, there were differences in herbicide efficacy. When applied to plants growing in low density, applications of glufosinate, fomesafen and topramezone reduced weed biomass to a greater extent than plants growing in the high-thinned density. Following herbicide damage to the apical meristem, plants growing in high-density produced new branches from axillary buds that were previously dormant, whereas plants growing in the low density already had axillary branches initiated from these buds and did not provide an opportunity for new shoot growth. In general, no differences in herbicide efficacy were observed across weed densities following dicamba applications. Source-to-sink translocation of dicamba to previously active meristems, or axillary buds that broke dormancy after the herbicide application, may have compensated for less spray solution interception on plants growing in high density. Lower levels of postemergence herbicide efficacy in high density weed populations are not only influenced by spray deposition differences, but also by changes in plant growth and apical dominance. This research provides further evidence that justifies the need for weed managers to reduce weed densities as much as possible, via non-chemical or soil residual herbicides (preemergence), as much as possible to optimize the efficacy of foliar herbicide applications.</p>

<p dir="ltr">Waterhemp (<i>Amaranthus tuberculatus</i>)<i> </i>is one of the most problematic weeds in soybean production in the United States. The ability of waterhemp to quickly evolve resistance threatens the utility of many herbicides. The introduction of Xtend^®and Xtendflex^®soybeans allow for the in-season application of dicamba and glufosinate. With an increase in dicamba use in soybeans plus its continued use in corn, there have been many reports of dicamba failure on waterhemp.</p><p dir="ltr">Greenhouse dose response experiments were conducted to screen six populations of waterhemp for resistance to dicamba. Each population was compared to a known sensitive and known resistant population, with 50% growth reduction (GR₅₀) values of 39 g ae ha^-1and 226 g ae ha^-1, respectively. Low-level dicamba resistance was identified in all populations, as they had GR₅₀values that were different from the known sensitive and R:S ratios that varied from 1.7 to 4.4. Additionally, all six populations exhibited at least 50% survival at a 1/2X rate of dicamba where the sensitive only had 30% survival. Therefore, we can conclude that dicamba resistance in waterhemp is present in multiple counties in Indiana.</p><p dir="ltr">In addition to characterizing populations from Indiana, a growth monitoring study was conducted to determine how emergence timing impacted waterhemp growth. In 2021, plants that emerged in the earliest cohort were taller, had more branches, and accumulated more biomass in comparison to later emerging plants at six weeks after flagging. In 2022, drought conditions throughout the month of June impacted growth of earlier emerging plants, and waterhemp that emerged in the latest cohort were taller, had more branches, and accumulated more biomass than earlier emerging cohorts at six weeks after flagging. Seed yields per plant were low in both years, but all cohorts were able to produce seed. This research concludes that in years when soil sufficient moisture is available, earlier emerging waterhemp plants are competitive with crops and later emerging plants can still produce seed.</p><p dir="ltr">Additionally, field trials were conducted to determine herbicide programs in the Enlist^® and Xtendflex^® soybean systems that would best control a waterhemp population with multiple herbicide resistance. At 21 days after the second postemergence application, waterhemp control was highest in two pass systems. The addition of pyroxasulfone to the second postemergence application increased control of waterhemp in the Xtendflex^® system. Waterhemp densities were the lowest and soybean yield was the highest in two pass herbicide programs for both systems. The results indicate that waterhemp resistant to chemistries in HRAC Groups #2, #4, #5, #9, #14, and #27 was most effectively controlled by programs with two herbicides applications, either a preemergence followed by postemergence or two pass postemergence, and included 2,4-D and glufosinate in the postemergence application(s).</p><p dir="ltr">Finally, a waterhemp population from Francesville, IN was characterized for herbicide resistance via a series of field, greenhouse, and laboratory experiments. Preliminary laboratory analysis confirmed resistance to herbicide actives in the HRAC Groups #2 and #14 via target site mutations and to Group #9 via gene amplification. Field research trials indicated inadequate waterhemp control with preemergence applications of pendimethalin and atrazine and postemergence applications of herbicide actives from Groups #2, #9, #14, and #27 as well as glufosinate and dicamba. Greenhouse dose response experiments revealed GR₅₀values for the Francesville population that were significantly higher for dicamba, mesotrione, and topramezone than the known sensitive. R:S ratios of 4.4, 3.3, and 1.8, were documented for dicamba, mesotrione, and topramezone, respectively. Data from all experiments demonstrated that the Francesville population is resistant to herbicide actives in Groups #2, #4, #5, #9, #14, and #27.</p>

<p dir="ltr">Feedstock variability represents a challenge in the adoption of lignocellulosic biomass for biofuels and biochemicals production, due to the differences in critical chemical and physical properties like lignin content, and water absorption respectively. Thus, difficult continuous manufacturing processes in biorefineries, hinder the transition from liquid feedstocks to renewable materials that consisting of solid particles. Modeling of flow properties based on rheological measurements of treated biomass is a quantitative metric for identifying if different feedstocks form pumpable slurries. Additionally, the correlation of yield stress to physical and chemical properties gives a measure that accounts for the variability in the processing design. This research models rheological properties and relates these to compositional data from different non-pretreated fractions of corn stover biomass slurries. Slurries were formed with solids concentrations of 300 g/L in a 6 hours fed-batch process using the commercial enzymes Celluclast 1.5L or Ctec-2 at 1FPU/g or 3 FPU/g of dry solids, basis to enable the liquefaction (i.e., slurry-forming) mechanism. We found that insoluble lignin content of the different fractions was related to water absorption in pellets and free water on slurries and that free water was a good indicator of the potential for a material to form slurry. Higher flowability (lower yield stress) was found at higher content of lignin, particularly for materials containing 26% lignin where yield stress was reduced to 254Pa when compared with mixtures of 14% lignin that presented yield stresses of around 4000 Pa. We show that rheology modeling linked to compositional characteristics for biomass slurries can be used to predict material flow behavior in a biorefinery to optimize and achieve high solids loadings that enhance the production of ethanol for biofuels. This insight and the ability to form high concentration slurries before pretreatment holds the potential to develop new processing strategies that could help to foster a more efficient and sustainable bio-based industry. </p>

The contamination of process pea (Pisum sativum L.) crops by the immature fruit of black nightshade (Solanum nigrum L.) and hairy nightshade (S. physalifolium Rusby var. nitidibaccatum (Bitter.) Edmonds) causes income losses to pea farmers in Canterbury, New Zealand. This thesis investigates the questions of whether seed dormancy, germination requirements, plant growth, reproductive phenology, or fruit growth of either nightshade species reveal specific management practices that could reduce the contamination of process peas by the fruit of these two weeds. The seed dormancy status of these weeds indicated that both species are capable of germinating to high levels (> 90%) throughout the pea sowing season when tested at an optimum germination temperature of 20/30 °C (16/8 h). However, light was required at this temperature regime to obtain maximum germination of S. nigrum. The levels of germination in the dark at 20/30 °C and at 5/20 °C, and in light at 5/20 °C, and day to 50 % germination analyses indicated that this species cycled from nondormancy to conditional dormancy throughout the period of investigation (July to December 2002). For S. physalifolium, light was not a germination requirement, and dormancy inhibited germination at 5/20 °C early in the pea sowing season (July and August). However, by October, 100% of the population was non-dormant at this test temperature. Two field trials showed that dark cultivation did not reduce the germination of either species. Growth trials with S. nigrum and S. physalifolium indicated that S. physalifolium, in a non-competitive environment, accumulated dry matter at a faster rate than S. nigrum. However, when the two species were grown with peas there was no difference in dry matter accumulation. Investigation of the flowering phenology and fruit growth of both species showed that S. physalifolium flowered (509 °Cd, base temperature (Tb) 6 °C) approximately 120 °Cd prior to S. nigrum (633 °Cd). The fruit growth rate of S. nigrum (0.62 mm/d) was significantly faster than the growth rate of S. physalifolium (0.36 mm/d). Because of the earlier flowering of S. physalifolium it was estimated that for seedlings of both species emerging on the same date that S. physalifolium could produce a fruit with a maximum diameter of 3 mm ~ 60 °Cd before S. nigrum. Overlaps in flowering between peas and nightshade were examined in four pea cultivars, of varying time to maturity, sown on six dates. Solanum physalifolium had the potential to contaminate more pea crops than S. nigrum. In particular, late sown peas were more prone to nightshade contamination, especially late sowings using mid to long duration pea cultivars (777-839 °Cd, Tb 4.5 °C). This comparison was supported by factory data, which indicated that contamination of crops sown in October and November was more common than in crops sown in August and September. Also, cultivars sown in the later two months had an ~ 100 °Cd greater maturity value than cultivars sown in August and September. Nightshade flowering and pea maturity comparisons indicated that the use of the thermal time values for the flowering of S. nigrum and S. physalifolium can be used to calculate the necessary weed free period required from pea sowing in order to prevent the flowering of these species. The earlier flowering of S. physalifolium indicates that this species is more likely to contaminate pea crops than is S. nigrum. Therefore, extra attention may be required where this species is present in process pea crops. The prevention of the flowering of both species, by the maintenance of the appropriate weed free period following pea sowing or crop emergence, was identified as potentially, the most useful means of reducing nightshade contamination in peas.

The association between individual plant performance and seed yield variability within and between field pea crops was investigated. In 1988/89 six F8 genotypes with morphologically distinct characteristics were selected from a yield evaluation trial. Analysis of the individual plant performance within these crops indicated an association between low seed yields and the location and dispersion of plant harvest index (PHI) and plant weight (PWT) distributions. The analyses also showed there was a strong linear relationship between the seed weight (SWT) and PWT of the individual plants within each crop, and that the smallest plants tended to have the lowest PHI values. A series of 20 simulations was used to formalize the relationships between SWT, PWT and PHI values within a crop into a principal axis model (PAM). The PAM was based on a principal axis which represented the linear relationship between SWT and PWT, and an ellipse which represented the scatter of data points around this line. When the principal axis passed through the origin, the PHI of a plant was independent of its PWT and the mean PHI was equal to the gradient of the axis. However, when the principal axis had a negative intercept then the PHI was dependent on PWT and a MPW was calculated. In 1989/90 four genotypes were sown at five plant populations, ranging from 9 to 400 plants m⁻². Significant seed and biological yield differences were detected among genotypes at 225 and 400 plants m⁻². The plasticity of yield components was highlighted, with significant genotype by environment interactions detected for each yield component. No relationship was found between results for yield components from spaced plants and those found at higher plant populations. The two highest yielding genotypes (CLU and SLU) showed either greater stability or higher genotypic means for PHI than genotypes CVN and SVU. Despite significant skewness and kurtosis in the SWT, PWT, and PHI distributions from the crops in this experiment, the assumptions of the PAM held. The lower seed yield and increased variability in PHI values for genotype CVN were explained by its higher MPW and the positioning of the ellipse closer to the PWT axis intercept than in other genotypes. For genotype SVU, the lower seed yield and mean PHI values were explained by a lower slope for the principal axis. Both low yielding genotypes were originally classified as having vigorous seedling growth and this characteristic may be detrimental to crop yields. A method for selection of field pea genotypes based on the PAM is proposed. This method enables the identification of weak competitors as single plants, which may have an advantage over vigorous plants when grown in a crop situation.

There is an extensive debate on the potential environmental impact of dairy farms and in particular the effect of dairy farms on the nitrogen cycle and the effect that this has on ecosystems. Within New Zealand and in particular in the South Island, the expansion of dairying and the adoption of new dairy systems has led to this becoming an increasingly important issue, locally through its effect on water quality and the environment and nationally and internationally through the production of green house gases. Increases in nitrogen usage at the expense of clover nitrogen fixation, irrigation, stocking rate and the introduction of dairy cows onto light free draining soils previously the preserve of arable or sheep farming has led to concern as to the effect intensive pastoral dairying may have on the nitrogen dynamics of the farm and the environment. This study is designed to assess how changes in grazing management in particular changes in pre-grazing and post-grazing residuals alter the clover/ryegrass balance on the farm and the effect that this has on the farm’s nitrogen dynamics. The effects of qualitative changes in grazing management on pasture composition are well established but little is known of the effect of quantitative changes in pasture management on composition, in particular the effect of grazing residuals. There are a number of detailed models of the physiological processes in the energy and nutrient cycling in plants, animals and the soil. There are a smaller number of whole farm models that through integration and simplification of component models attempt to represent the flux of nutrients though a dairy farm. None of these whole farm models is currently able to model the nitrogen flux through a dairy farm at a sufficient level of resolution to capture differences in pasture composition as these occur spatially, temporally and in response to grazing management. This project sought to better understand the nitrogen dynamics on a dairy farm by constructing and then linking component models – a pasture composition and growth model, a cow model, an excretal return model, a soil model and a water balance model – within a whole farm management schedule. The formal null hypothesis is that the mechanistic, mathematical model constructed for this PhD cannot capture and explain the full range of the changes in soil water content, soil nitrogen status, pasture production and composition and animal production, following the alteration in management of the dairy farm between 2002 and 2004. Individual component models were constructed by the author using the computer software package (Matlab) and validated against data extracted from the literature. The models were then converted into one simulation package using C-sharp as the source code language by Elizabeth Post, Senior Computer Scientist at Lincoln Ventures Ltd, Lincoln, New Zealand and the author. This model was then used to investigate the nitrogen dynamics of a dairy farm: the relationship with pasture composition and whether small changes in pasture residuals make a difference to pasture composition and nitrogen dynamics. Two different simulations were run based on the management practice of Lincoln University Dairy farm (LUDF) over two dairy seasons (2002-03 and 2003-04) and validated against the data recorded on this farm. In 2002-03, 50 cows were over wintered and 580 cows were subsequently milked on 200ha. Post grazing residuals where maintained at 1600-1750KgDM/ha. In 2003-04, 125 cows were overwintered and 635 cows were milked on 200ha with post grazing residuals maintained at 1400KgDm/ha. All models operate on a daily time step. Within the pasture model composition is described by 9 state variables describing different components of the pasture and pasture growth is modelled mechanistically from a calculation of component photosynthesis. A further 9 state variables describe the nitrogen composition of the pasture components. The soil model is a variable two layer, mechanistic representation, parametised for the shallow, stony soils of LUDF. Soil water status is an input for the pasture model while water uptake by the growing plants affects the soil water balance within the soil model. Animal intake and production are modelled mechanistically with model cows described in terms of their age, genetic merit, body weight, breed, pregnancy status, conception date and body condition score. Each cow type produces a different quantity of urinary and faecal excretion which varies with dry matter intake, milk yield and the sodium and potassium status of the pasture. Excretal nitrogen composition is predicted within a separate model which calculates daily nitrogen excretion in faeces, urine and milk. Excretions are deposited randomly over the grazed area and account is taken of overlapping excretions that are created on the same day and overlaps that occur with older excretal patches deposited in previous grazing rounds. Each excretal patch has its own associated pasture, water and soil model reflecting the differences in nitrogen status between patches. Grazing preference is expressed within the model between different classes of excretal patch and between excretal patches and the base pasture and between clover and grass. Supplementary silage is conserved and fed according to the management schedule of LUDF. Cows calve, become pregnant and are dried off within the model according to the relevant records from LUDF. Cows are deemed to arrive on the farm on the day of calving and to leave on the day that drying off is finished (a 5 day procedure within the model), except for those cows that are overwintering which remain on the farm. The soil model has multiple nitrogen/carbon pools and is dynamically linked to all the other models. External nitrogen losses from the system are modelled as volatilisation, leaching and denitrification, with pasture nitrogen uptake from the soil model and fixation by clover from the atmosphere. Both the individual component models and the final assembled composite model were successful in matching the available data in terms of pasture and animal production, pasture composition, soil water balance and nitrogen status and external losses. The model indicates that the low residual, high stocking rate farm returns more excreta to the soil. However, this is countered by a reduction in the amount of dead material returned to the paddock and this reduces the relative size of the pool of nitrogen in the dead organic matter. This produces a relative lack of substrate for the soil microbes which are thus unable to exploit all of the nitrogen in the available pool. Soil ammonium and nitrate pools are also increased from the increase in faecal and urinary return so precipitating an immobilising flux from these larger pools to the smaller pool of nitrogen available to the soil microbes. However, the relative inability of the soil bacteria to fully exploit this means that the production of soil organic live matter and the resulting mineralising flux from the dead organic matter pool through the available pool to the ammonium and nitrate pools is reduced. The larger ammonium and nitrate pools will also be associated with increased external losses from the system as denitrification, leaching and volatilisation are increased. The increase in the clover percentage within the sward in 2003-04 led to greater nitrogen fixation and the model suggests that some of the extra nitrogen is effectively captured by the animals in increased production. However, the reduction in the return of dead matter coupled with an increase in excretal return and the consequent increase in the mineral nitrogen pools within the soil lead to greater losses of nitrogen from the soil.

The general goal of this research was to understand the agronomic and physiological changes of a lucerne crop in distinct physical radiation environments and to verify the potential of lucerne to grow under shaded conditions. To achieve this, the research was conducted in four main steps: (i) firstly, experimental data collection in the field using two artificial shade materials (shade cloth and wooden slats) under inigated and non-irrigated conditions; (ii) a second experiment with data collection in a typical temperate dryland agroforestry area under non-irrigated conditions; (iii) generation of a light interception sub-model suitable for shaded crops and (iv) a linkage between the light interception sub-model and a canopy photosynthesis model for agroforestry use. In experiments 1 and 2, lucerne crop was exposed to 6 different light regimes: full sunlight (FS), shade cloth (FS+CL), wooden slats (FS+SL), trees (T), trees+cloth (T +CL) and trees+slats (T+SL). The FS+SL structure produced a physical radiation environment (radiation transmission, radiation periodicity and spectral composition) that was similar to that observed in the agroforestry site (f). The mean annual photosynthetic photon flux density (PPFD) was 41 % under the FS+CL, 44% under FS+SL and 48% under T compared with FS in clear sky conditions. Plants were exposed to an intermittent (sun/shade) regime under both FS+SL and T, whereas under FS+CL the shaded light regime was continuous. The red to far-red (RIFR) ratio measured during the shade period under the slats was 0.74 and under the trees was 0.64. However, R/FR ratio increased to 1.26 and 1.23 during the illuminated period under FS+SL and T, respectively, and these were equivalent to the ratio of 1.28 observed under the FS+CL and 1.31 in FS. The radiation use efficiency (RUE) of shoots increased under the 5 shaded treatments compared with full sunlight. The pattern of radiation interception was unchanged by radiation flux, periodicity and spectral composition and all treatments had a mean extinction coefficient of 0.82. However, the magnitude of the decrease in canopy growth was less than those in PPFD transmissivity. The mean lucerne annual dry matter (DM) yield was 17.5 t ha⁻¹ in FS and 10 t ha⁻¹ under the FS+CL, FS+SL and T regimes. This declined to 3.4 t DM ha⁻¹ under T+CL (22% PPFD transmissvity) and 4.1 t DM ha⁻¹ under T+SL (23% transmissivity). A similar pattern of response was observed for leaf net photosynthesis (Pn) rates under the shade treatments compared with full sun. In addition, spectral changes observed under the trees and slats affected plant motphology by increasing the number of long stems, stem height and internode length compared with full sunlight. Thus, there were two main explanations for the increase in RUE under shade compared with full sun: (i) preferential partition of assimilates to shoot rather than root growth and/or (ii) leaves under shade were still operating at an efficient part of the photosynthetic light curve. The changes proposed for the canopy Pn model were appropriate to simulate the radiation environment of an agroforestry system. However, the model underestimated DM yields under the continuous and intermittent shade regimes. These were considered to be mainly associated with plant factors, such as overestimation in maintenance respiration and partitioning between shoots and roots in shade and the intermittency light effect on leaf Pn rates. Further investigation in these topics must be addressed to accurately predict crop yield in agroforestry areas. Overall, the lucerne crop responded typically as a sun-adapted plant under shade. It was concluded that lucerne yield potential to grow under intermediate shade was superior to most of C3 pastures previously promoted in the literature.

This study was undertaken to research the principles and practices behind increased pasture productivity on Longslip Station, Omarama. A range of landscape - soil - climate - plant systems were identified, then analysed and the legume responses measured. By isolating cause and effect and appreciating the driving variables of each system, lessons learnt could be reliably and objectively transferred to the rest of the farm. Extrapolation to the balance of the property (15,150 ha) permitted immediate large-scale development and engendered confidence to lending institutions, Lands Department, catchment authorities and ourselves. Soil (land) cannot be well managed and conserved unless it is mapped reliably and its characteristics measured and interpreted by skilled observers (Cutler, 1977). Soil resource surveys, and their interpretation, are an essential ingredient of rational resource evaluation and planning. This thesis is a figurative and comparative survey and study of the soil catenary bodies, resident vegetation, legume establishment and pasture production characteristics of a 400 hectare catchment, in relation to, and as influenced by soil landscape unit, slope component, altitude, aspect and time. The inherent diversity in landform, soil properties and vegetation communities in a single catchment in the high country has not previously been fully studied or appreciated. This has lead to blanket recommendations for fertilizer, seed and management regimes both within and between properties and even regions. This study reports on the diversity of, yet predictable change in soil properties with slope position (upper, middle and lower) aspect and altitude in terms of both soil physical properties e.g. soil depth and water holding capacity and soil chemical properties such as pH, BS%, %P, %S, %N and %C. The composition of the resident vegetation and its differential response to oversowing and topdressing and subsequent change through time is reported and discussed. Finally an epilogue gives an insight into the problems and frustrations of farming practices in the high country from a motivation and personal perspective and political point of view that it is essential to come to terms with.