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.

A metapopulation is defined as a set of potential local populations among which dispersal may occur. Metapopulation theory has grown rapidly in recent years, but much has focused on the mathematical properties of metapopulations rather than their relevance to real systems. Indeed, barring some notable exceptions, metapopulation theory remains largely untested in the field. This thesis investigates the importance of metapopulation structure in the ‘real world’, firstly by building additional realism into metapopulation models, and secondly through a 3-year field study of a real metapopulation system. The modelling analyses include discrete-and continuous-time models, and cover single species, host-parasitoid, and disease-host systems, with and without stochasticity. In all cases, metapopulation structure enhanced species persistence in time, and often allowed long-term continuance of otherwise non-persistent interactions. Spatial heterogeneity and patterning was evident whenever local populations were stochastic or deterministically unstable in isolation. In metapopulations, the latter case often gave rise to self-organising spatial patterns. These were composed of spiral wave fronts (or ‘arcs of infection’ in disease models) of different sizes, and were related to the stability characteristics of local populations as well as the dispersal rates. There was no evidence for self-organising spatial patterns in the host-parasitoid system studied in the field (the weevil Sitona discoideus and its braconid parasitoid Microctonus aethiopoides), and a new model for the interaction suggested that this is probably due to the strong host density-dependence and stabilising parasitism acting on local populations. Dispersal may be important because of very high mortality in dispersing weevils, which may be related to the scarcity of their host plant in the landscape. If this is the case, the model suggested that local weevil density may be sensitive to the area of crop grown. Stochastic models showed that species in suitably large metapopulations may persist for very long times at relatively low overall density and with very low incidence of density-dependence. This suggests that metapopulation processes may explain a general inability to detect density-dependence in many real populations, and may also play an important part in the persistence of rare species. For host-parasitoid metapopulation models, persistence often depended on the way in which they were initialised. Initial conditions corresponding to a biological control release were the least likely to persist, and the maximum host suppression observed in this case was 84%, as compared with 60% for the corresponding non-spatial models and >90% often observed in the field. Metapopulation structure also allowed persistence of ‘boom-bust’ disease models, although the dynamics of these were particularly dependent on assumptions about what happens to disease classes at very low densities. Models assuming infinitely divisible units of density, models incorporating a non-zero extinction threshold, and individual-based models all gave differing results in terms of disease persistence and rate of spatial spread. Fitting models to overall metapopulation dynamics often gave misleading results in terms of underlying local dynamics, emphasising the need to sample real populations at an appropriate scale when seeking to understand their behaviour.

The response of yarrow (Achillea millefolium L.) seedlings to reduced light, interference from barley (Hordeum vulgare) and some aspects of regeneration from rhizomes were the subject of investigations from 1976 until 1980. Seedlings grown under four intensities of photosynthetically active radiation (100, 46.8, 23.7 and 6.4% of full summer daylight) were harvested on six occasions and the changes with time in the logarithms of leaf area, leaf, stem, root and total dry weights per plant were described by polynomial regression equations. Relative growth (RGR), net assimilation rate (NAR), leaf area ratio (LAR), specific leaf area (SLA) and leaf weight ratio (LWR) were derived directly from the growth curves. SLA and LWR increased with increased shading causing LAR to rise, while NAR declined. Response curves of RGR on light intensity, derived from linear regressions of LAR and NAR on the logarithm of relative light intensity predicted maximum RGR to occur at light intensities which decreased with time. This was a consequence of ontogenetic changes in LAR, and changes in NAR apparently related to self shading. Linear regressions of LAR and NAR at a constant total plant dry weight of 1.62 g showed that the increase in LAR almost completely compensated for the reduction in NAR down to approximately 40% full daylight, and maximum RGR was predicted to occur at 59% full daylight. The light compensation point was estimated to be 3.6% full daylight. Yarrow populations established from 25 and 50 10 cm rhizome fragments m⁻² were grown alone and with barley at 194 or 359 plants m⁻². The barley populations were also grown alone. Growth analysis employing the regression technique showed the RGR of yarrow was reduced by barley from before jointing (Feekes Scale, Stage 6) as a consequence of reduced NAR. The NAR of yarrow was significantly reduced in the continued presence of barely, which by the time of the final barely harvest resulted in 91 and 94% reduction in the accumulated yarrow dry matter at 194 and 359 barely plants m⁻² respectively. The proportion of total dry matter allocated to seed and rhizome was also reduced by barley but the barley was unaffected by the yarrow. During the autumn and early winter, after removal of the barley, the suppressed yarrow had a higher RGR than the unsuppressed population, owing to higher LAR and NAR. Rhizome growth was vigorous during both autumn and winter in all yarrow populations, but the RGR of rhizome dry matter was higher in the suppressed yarrow during the autumn. This resulted in a progressive reduction in the difference in rhizome dry matter between suppressed and unsuppressed populations. Several aspects of the development and regenerative potential of rhizomes were investigated. In the first experiment, plants were established from seed and rhizome fragments and harvested on several occasions. Plants from both propagules formed rhizomes on which approximately 97% of auxiliary buds remained dormant, as long as the plants were undisturbed. Buds on rhizomes attached to the parent plant formed rhizome branches when the apex was damaged, had emerged from the soil, or in situations where internodes were congested. In the second experiment, rhizome fragments of 4, 8 and 16 cm in length were planted in soil at depths of 0, 2.5, 5.0, 10.0, 20.0 and 30.0 cm. All fragments on the soil surface died without forming shoots owing to desiccation whilst 100% mortality at 20 and 30 cm was probably the result of flooding. Within the 2.5 to 10.0 cm range, an increasing percentage of fragments survived (produced an aerial shoot(s)) as burial depth was reduced and fragment length increased. Within this depth range, the percentage of buds which had become active on undecayed fragments declined with increased length and burial depth. In the third experiment, single-node rhizome pieces were excised from rhizomes retrieved from field populations over a one year period, and incubated at 25°C for 10 days in darkness. More than 90% of buds formed vertical shoots throughout the year, indicating there was no period of innate dormancy in isolated buds. The effect of time of planting on the pattern of early regenerative development was assessed in the fourth experiment, in which 10 cm rhizome fragments were planted at 5 cm depth in soil on two occasions (in November and April). The developmental pattern was the same regardless of month of planting and new rhizomes were initiated at nodes on the vertical subterranean shoots when 5 to 6 aerial leaves had developed. The planted rhizome fragments declined in dry weight and a minimum weight occurred at about the time when rhizome initiation began.

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.

By far the greatest proportion of the 1,150,000 acres of light land in Canterbury is found on the Canterbury Plain. This plain, originally covered by "low tussock" and of easy contour, was enticing to the early pioneers and became one of the earliest areas in New Zealand to be settled and farmed. Over the years it has developed into one of the most intensively farmed and productive areas of New Zealand. The dominant characteristic of the light land of Canterbury is undoubtedly the climate. The rainfall is reasonably evenly distributed over the year, but because of the low humidity, high temperatures and warm winds experienced over the summer in association with a free draining soil, the effectiveness of the rainfall over this period is drastically reduced. Consequently active plant growth is severely restricted for several months over the summer, and occasionally extends into the spring and/or autumn periods. The uncertainty as to the length and severity of this restricted growth period and the associated problem of equating the variable feed supply to the stock requirements, both within and between years, is the basic problem confronting the light land farmer. In spite of the environmental difficulties the productivity of the light land has increased several fold since early settlement. The original holdings on the Canterbury Plain were large with their boundaries on the rivers so as to provide access to water. Fine wool sheep were extensively grazed. However the introduction of refrigerated shipping and the extension of the water race system in the 1880's brought about a reduction in the size of holdings and a change in the pattern of farming. Dual purpose sheep were run and by the 1930's in response to favourable crop prices the system of diversified farming was firmly established. Unfortunately this system placed excessive emphasis on cash cropping, particularly on the light soils. Soil fertility was drained, structure severely damaged and subsequent pasture establishment and survival poor. In the late 1940s and early 1950s, with declining crop yields and with more favourable prices being obtained for fat lambs and particularly wool, the emphasis shifted from cropping to livestock farming. The carrying capacity however, was restricted by the reduced soil fertility and poor quality pastures and an environment in which climatic uncertainty tended to inhibit the rapid expansion of stock numbers. The results of research work carried out at the various institutions in Canterbury over the years have undoubtedly promoted a greater understanding and appreciation of the problems confronting the farmer and the limitations of the particular environment in which he must operate. For example, pasture species more suited to the low fertility conditions and climate were introduced with spectacular results. The most significant of these was subterranean clover (introduced in the 1930s), noted for its ability to withstand the summer droughts, to regenerate in the autumn, and to provide an increased bulk of feed in the spring. Research work had shown that both lime and phosphate were necessary on the light land soils, if high pasture production and persistency was to be expected. Soil fertility increased subsequent to a reduction in the emphasis on cropping and with the higher levels of fertiliser application. High fertility pasture species (e.g. white clover and lucerne), were introduced and not only gave higher and more reliable total production but exhibited improved seasonal spread of production. Investigations into pasture diseases and stock health provided answers to specific problems. Research into flock management generally and in comparisons between the productivity of various sheep breeds indicated the most suitable type of flock and breed for the light land farmer. From this and other research work (in conjunction with the observations of leading farmers in the area), an efficient system of light land farming has gradually evolved in which many of the basic problems have been overcome and which has resulted in a raising of the carrying capacity of the light land from ¾ stock unit per acre in the 1930's to 3½-4 stock units per acre at present. A central feature of this system (particularly at high stocking rates), is the high degree of flexibility incorporated in both the stock policies and feed supplies. Where the objective function is to maximise productivity over a period of years, it is essential to utilise the available spring feed efficiently while maintaining the ability to destock when confronted with feed shortages in the spring and early summer. Because of the fluctuating feed supply, which is characteristic of light land, the need to maintain feed reserves and to incorporate a high degree of flexibility in the stock policy is evident if the feed supply and demand are to be equated. In summary, the increased productivity can be attributed to two factors: (1) The ability to grow a greatly increased quantity of herbage per acre with an improved seasonal pattern of production. (2) A more efficient utilisation of the herbage produced. Unlike his counterpart in more reliable farming districts, the light land farmer operates in an environment of uncertainty. Yield uncertainty, particularly at high stocking rates, is the major problem to be overcome and this dictates very largely the system of farming adopted. Price uncertainty is also a significant aspect of light land farming because of the reliance on a limited range of products and the inability to diversify. In an analysis of physical and financial data collected from a sample of light land farms in Canterbury (1) there was no evidence to suggest that any one particular pattern of output was superior to all others. This result was surprising, but may reflect the uncertainty inherent in the environment. (1) For a full discussion on this, see Section 3.3.2(a). Alternatively it may infer that the actual patterns of production are less important than the managerial skill with which they are implemented. These results pointed to the need to explore more fully the following facets of light land management: (1) Given a developed farm, is there any one optimal pattern of production which (a) generates increased profit under average seasonal and price conditions, and (b) is subject to only small variations in profit under changing seasonal and price conditions? (2) Given the potential for the development and expansion of light land farming, how profitable is this from the individual farmer's viewpoint? If, in an evaluation of the first problem, high levels of productivity are shown to be profitable on existing well developed farms, then a reallocation of resources to obtain the desired combination should be recommended. An optimum combination of enterprises shown by such an analysis might well serve as the goal where an undeveloped potential still exists on a farm and where a reallocation and intensification in the use of resources is necessary if productivity is to be increased. In this study of light land farming two case farms have been used and although the results refer specifically to these particular farms, some conclusions of a general nature are possible. In Chapter II the physical characteristics of the area are described. In Chapter III a review of the research into specific problems relating to the management of light land is presented. This is followed in Chapter IV by an explanation of the technical principles of light land farming which have evolved. Chapter V is devoted to the comparison of some of the production possibilities open to the light land farmer using linear programming. An analysis of light land development 1s presented in Chapter VI, while Chapter VII presents the conclusions and summary of the study.

By far the greatest proportion of the 1,150,000 acres of light land in Canterbury is found on the Canterbury Plain. This plain, originally covered by "low tussock" and of easy contour, was enticing to the early pioneers and became one of the earliest areas in New Zealand to be settled and farmed. Over the years it has developed into one of the most intensively farmed and productive areas of New Zealand. The dominant characteristic of the light land of Canterbury is undoubtedly the climate. The rainfall is reasonably evenly distributed over the year, but because of the low humidity, high temperatures and warm winds experienced over the summer in association with a free draining soil, the effectiveness of the rainfall over this period is drastically reduced. Consequently active plant growth is severely restricted for several months over the summer, and occasionally extends into the spring and/or autumn periods. The uncertainty as to the length and severity of this restricted growth period and the associated problem of equating the variable feed supply to the stock requirements, both within and between years, is the basic problem confronting the light land farmer. In spite of the environmental difficulties the productivity of the light land has increased several fold since early settlement. The original holdings on the Canterbury Plain were large with their boundaries on the rivers so as to provide access to water. Fine wool sheep were extensively grazed. However the introduction of refrigerated shipping and the extension of the water race system in the 1880's brought about a reduction in the size of holdings and a change in the pattern of farming. Dual purpose sheep were run and by the 1930's in response to favourable crop prices the system of diversified farming was firmly established. Unfortunately this system placed excessive emphasis on cash cropping, particularly on the light soils. Soil fertility was drained, structure severely damaged and subsequent pasture establishment and survival poor. In the late 1940s and early 1950s, with declining crop yields and with more favourable prices being obtained for fat lambs and particularly wool, the emphasis shifted from cropping to livestock farming. The carrying capacity however, was restricted by the reduced soil fertility and poor quality pastures and an environment in which climatic uncertainty tended to inhibit the rapid expansion of stock numbers. The results of research work carried out at the various institutions in Canterbury over the years have undoubtedly promoted a greater understanding and appreciation of the problems confronting the farmer and the limitations of the particular environment in which he must operate. For example, pasture species more suited to the low fertility conditions and climate were introduced with spectacular results. The most significant of these was subterranean clover (introduced in the 1930s), noted for its ability to withstand the summer droughts, to regenerate in the autumn, and to provide an increased bulk of feed in the spring. Research work had shown that both lime and phosphate were necessary on the light land soils, if high pasture production and persistency was to be expected. Soil fertility increased subsequent to a reduction in the emphasis on cropping and with the higher levels of fertiliser application. High fertility pasture species (e.g. white clover and lucerne), were introduced and not only gave higher and more reliable total production but exhibited improved seasonal spread of production. Investigations into pasture diseases and stock health provided answers to specific problems. Research into flock management generally and in comparisons between the productivity of various sheep breeds indicated the most suitable type of flock and breed for the light land farmer. From this and other research work (in conjunction with the observations of leading farmers in the area), an efficient system of light land farming has gradually evolved in which many of the basic problems have been overcome and which has resulted in a raising of the carrying capacity of the light land from ¾ stock unit per acre in the 1930's to 3½-4 stock units per acre at present. A central feature of this system (particularly at high stocking rates), is the high degree of flexibility incorporated in both the stock policies and feed supplies. Where the objective function is to maximise productivity over a period of years, it is essential to utilise the available spring feed efficiently while maintaining the ability to destock when confronted with feed shortages in the spring and early summer. Because of the fluctuating feed supply, which is characteristic of light land, the need to maintain feed reserves and to incorporate a high degree of flexibility in the stock policy is evident if the feed supply and demand are to be equated. In summary, the increased productivity can be attributed to two factors: (1) The ability to grow a greatly increased quantity of herbage per acre with an improved seasonal pattern of production. (2) A more efficient utilisation of the herbage produced. Unlike his counterpart in more reliable farming districts, the light land farmer operates in an environment of uncertainty. Yield uncertainty, particularly at high stocking rates, is the major problem to be overcome and this dictates very largely the system of farming adopted. Price uncertainty is also a significant aspect of light land farming because of the reliance on a limited range of products and the inability to diversify. In an analysis of physical and financial data collected from a sample of light land farms in Canterbury (1) there was no evidence to suggest that any one particular pattern of output was superior to all others. This result was surprising, but may reflect the uncertainty inherent in the environment. (1) For a full discussion on this, see Section 3.3.2(a). Alternatively it may infer that the actual patterns of production are less important than the managerial skill with which they are implemented. These results pointed to the need to explore more fully the following facets of light land management: (1) Given a developed farm, is there any one optimal pattern of production which (a) generates increased profit under average seasonal and price conditions, and (b) is subject to only small variations in profit under changing seasonal and price conditions? (2) Given the potential for the development and expansion of light land farming, how profitable is this from the individual farmer's viewpoint? If, in an evaluation of the first problem, high levels of productivity are shown to be profitable on existing well developed farms, then a reallocation of resources to obtain the desired combination should be recommended. An optimum combination of enterprises shown by such an analysis might well serve as the goal where an undeveloped potential still exists on a farm and where a reallocation and intensification in the use of resources is necessary if productivity is to be increased. In this study of light land farming two case farms have been used and although the results refer specifically to these particular farms, some conclusions of a general nature are possible. In Chapter II the physical characteristics of the area are described. In Chapter III a review of the research into specific problems relating to the management of light land is presented. This is followed in Chapter IV by an explanation of the technical principles of light land farming which have evolved. Chapter V is devoted to the comparison of some of the production possibilities open to the light land farmer using linear programming. An analysis of light land development 1s presented in Chapter VI, while Chapter VII presents the conclusions and summary of the study.

Early in 1962 the Forest Research Institute of the New Zealand Forest Service became aware that stands of second crop Pinus radiata (D. Don) on some areas of the Moutere Gravel formation were showing slow growth and had a chlorotic appearance (Fig. 1.1). The second crop followed clear felling of mature P. radiata trees and were aged from 0 to 15 years (stone and Will, 1965). It was felt that the apparent reduced growth of the second generation had much in common with similar productivity decline reported especially in European forestry literature. Stone and Will (1965) postulated that the immediate cause o£ the decline was a deficiency of nitrogen highlighted by the low levels of nitrogen in the leaves of the second crop trees, especially those growing on ridge sites. Numerous field trials have been laid out but many of the trials were poorly designed and consequently could not provide statistically sound results. However, some indication of nutrient deficiencies which occur on the Moutere Gravels were obtained. Even before these trials were laid down nutrient deficiencies had been highlighted by early attempts at farming. It was the partial failure of these crops that initially led to the planting of exotic pines, in the belief that these trees thrived on a limited supply of nutrients. The first crop of pines generally fulfilled expectations but nutrient deficiencies started to appear in extensive areas of the second crop. Accordingly, the Forest Research Institute made available three scholarships to study different aspects of the problem. Work was started on a study of the soil sequence across the Moutere Gravels to determine if there was a general decline in fertility of tho soil with the age of the soil and the environmental factors, such as climate which differs in the high inland areas and the low seaside areas of the Moutere Gravels, rather than a particular decline in fertility induced by the first crop of P. radiata. In another study the major weed species Ulex europaeus and Cytisus scoparius was studied to see if its value as a nitrogen fixer would outweigh its disadvantages as a silvicultural weed. Thirdly, a study of the microbial ecology of the soils was undertaken. Whyte (1966) reported that the second rotation trees started to increase their growth rate after approximately five years to a level paralleling the estimated growth rate of the first crop. It was postulated that the residues (needles, roots and branches) remaining after clear felling could cause an increase in microbial numbers and activity with a consequent immobilization of mineral nutrients which were not initially very plentiful. For this reason an area in Tasman Forest was selected in which mature trees and regeneration up to nine years old were found together to study microbial activity and numbers, energy dissipation and nitrogen dynamics to determine if immobilization of nutrients was causing the apparent declines.

Characteristics of quantitative resistance in pea (Pisum sativum L.) to Erysiphe pisi DC, the pathogen causing powdery mildew, were investigated. Cultivars and seedlines of pea expressing quantitative resistance to E. pisi were identified and evaluated, by measuring the amounts of pathogen present on plant surfaces in field and glasshouse experiments. Disease severity on cv. Quantum was intermediate when compared with that on cv. Bolero (susceptible) and cv. Resal (resistant) in a field experiment. In glasshouse experiments, two groups of cultivars, one with a high degree of resistance and the other with nil to low degrees of resistance to E. pisi, were identified. This indicated either that a different mechanism of resistance applied in the two groups, or that there has been no previous selection for intermediate resistance. Several other cultivars expressing quantitative resistance were identified in a field experiment. Quantitative resistance in Quantum did not affect germination of E. pisi conidia, but reduced infection efficiency of conidia on this cultivar compared with cv. Pania (susceptible). Other epidemiological characteristics of quantitative resistance expression in Quantum relative to Pania were a 33% reduction in total conidium production and a 16% increase in time to maximum daily conidium production, both expressed on a colony area basis. In Bolero, the total conidium production was reduced relative to Pania, but the time to maximum spore production on a colony area basis was shorter. There were no differences between the cultivars in pathogen colony size or numbers of haustoria produced by the pathogen. Electron microscope studies suggested that haustoria in Quantum plants were smaller and less lobed than those in Pania plants and the surface area to volume ratios of the lobes and haustorial bodies were larger in Pania than in Quantum. The progress in time and spread in space of E. pisi was measured in field plots of cultivars Quantum, Pania and Bolero as disease severity (proportion of leaf area infected). Division of leaves (nodes) into three different age groups (young, medium, old) was necessary because of large variability in disease severity within plants. Disease severity on leaves at young nodes was less than 4% until the final assessment at 35 days after inoculation (dai). Exponential disease progress curves were fitted for leaves at medium nodes. Mean disease severity on medium nodes 12 dai was greatest (P<0.001) on Bolero and Pania (9.3 and 6.8% of leaf area infected respectively), and least on Quantum (1.6%). The mean disease relative growth rate was greatest (P<0.001) for Quantum, but was delayed compared to Pania and Bolero. Gompertz growth curves were fitted to disease progress data for leaves at old nodes. The asymptote was 78.2% of leaf area infected on Quantum, significantly lower (P<0.001) than on Bolero or Pania, which reached 100%. The point of inflection on Quantum occurred 22.8 dai, later (P<0.001) than on Pania (18.8 dai) and Bolero (18.3 dai), and the mean disease severity at the point of inflection was 28.8% for Quantum, less (P<0.00l) than on Pania (38.9%) or Bolero (38.5%). The average daily rates of increase in disease severity did not differ between the cultivars. Disease progress on Quantum was delayed compared with Pania and Bolero. Disease gradients from inoculum foci to 12 m were detected at early stages of the epidemic but the effects of background inoculum and the rate of disease progress were greater than the focus effect. Gradients flattened with time as the disease epidemic intensified, which was evident from the large isopathic rates (between 2.2 and 4.0 m d⁻¹) Some epidemiological variables expressed in controlled environments (low infection efficiency, low maximum daily spore production and long time to maximum spore production) that characterised quantitative resistance in Quantum were correlated with disease progress and spread in the field. These findings could be utilised in pea breeding programmes to identify parent lines from which quantitatively resistant progeny could be selected.

Studies were conducted on three field trials of wheat cv. Kopara to investigate the lack of compensation by later determined components of yield because of early disease constraints. The investigation was based on the hypothesis that early disease reduces root development and thus causes the plants to be water constrained at later growth stages when soil water deficits usually occur. The reduced root development and soil water deficits may reduce the ability of the plant to compensate for reductions in early determined components. The hypothesis was tested by the application of irrigation to alleviate water stress. In a disease free crop, the possible phytotonic effects of the fungicides benomyl and triadimefon on wheat were investigated. These fungicides had no phytotonic effects on shoot, root growth, or yield under the prevailing conditions. The effect of disease on root development was analysed by root length measurements. Disease present in the crop at any stage of growth affected root development. Root development in the upper zones of the soil profile was reduced more by disease compared to those zones below 35 cm. A full disease epidemic reduced root development more than an early or late disease epidemic. The early and late disease epidemics had similar effects on root length. Alleviation of early disease constraints enabled greater development of roots to offset any earlier reductions. Soil water deficits increased root development in the lower zones of the nil disease plants. The presence of adequate soil water from irrigation reduced the requirement for further root growth in all treatments. In the 1981-1982 field trial a full disease epidemic reduced yield by 14% whereas an early disease epidemic reduced yield by 7%. The reduction in yield was attributed to a lower grain number. With irrigation the yield reduction in the full disease plants was 12% whereas in the early disease plants the reduction was only 2.4%. This indicated that plants affected by the early disease epidemic were water constrained. In this study, the results suggested that, for conditions prevailing in Canterbury, the supply of water at later growth stages increased grain weight in plants which were subject to early disease epidemics. This suggests that reduced root development caused by early disease and soil water deficits may prevent compensation by grain weight. Water use was similar in all disease treatments. After irrigation the irrigated plants of all treatments used more water. Disease affected water use in relation to yield production however, and was better expressed by water use efficiency. Water use efficiency was reduced in the full disease plants. A stepwise regression analysis suggested that water use efficiency was affected directly by disease at later growth stages, and indirectly via an effect on total green leaf area at early growth stages. This study partially proves the hypothesis that reductions in root development caused by an early disease epidemic may constrain the plants at later growth stages when water deficits usually occur. It was shown that the reduction in root development caused by disease could be counteracted by irrigation. In this respect, water served as a tool to study the effect of disease constraints on the yield of wheat. A knowledge of cereal crop physiology, root growth and function is used to explain and discuss the observations made in this research programme. The results are discussed in relation to the way in which disease affects yield through its effect on root development. The possible reasons for the continued effects of disease even after the control of disease at later growth stages are discussed. The economic use of fungicides and water in diseased crops are also outlined. Suggestions for future studies on disease-yield loss relationships are provided. The repetition of these experiments in different sites and climatic regions could provide information which may be incorporated in disease-yield loss simulation models. This could then be used to predict root development and water requirements of diseased plants, and provide a basis for economic use of fungicides and water, and for better disease management programmes.

*‘Pasja’ (Brassica campestris x napus) and kale (Brassica oleracea var. acephala L.) were grown at Lincoln, Canterbury, New Zealand in 2008 with different levels of phosphorus (P) fertiliser. Banded or broadcast P fertiliser was applied at 0, 20, 40 and 60 kg P/ha at establishment. Total dry matter (DM) production, the proportion of the leaf and stem and leaf area development were measured over time and related to the biophysical environment. For ‘Pasja’, final DM increased with P rate from 3730 kg DM/ha to ~4900 kg DM/ha at 60 kg P/ha. For kale the increase was from 8710 kg DM/ha for the control to ~11000 kg DM/ha for all P treatments. The leaf to stem ratio declined from 22-31 at 17 days after emergence to 10.4 at the final harvest for ‘Pasja’, which meant the crop was effectively made up mainly of leaf (~90%). The ratio for kale declined from 2.7 at 24 days after emergence to 0.64 at the final harvest. The leaf to stem ratio for both species did not respond to either the method of application or rate of P. Seedling DM accumulation increased with applied P over the first 10 to 17 DAE for ‘Pasja’ and kale respectively. The crops went from shoot growth priority to root growth. The phyllochron of both species was unaffected by P application but responded linearly to the temperature above 0°C. For ‘Pasja’ the phyllochron was 60°Cd compared with 109°Cd for kale. As a consequence ‘Pasja’ developed its canopy and reached critical leaf area index (LAIcrit) earlier than kale. Leaf area index (LAI) for the control crops of both species was lower than for P fertiliser treatments with a maximum of 3.6 for ‘Pasja’ and 3.8 for kale. There was no difference in leaf area indices among the P fertiliser treatments for ‘Pasja’, while kale LAI differed with the rate of P application up to 40 kg P/ha. Total accumulated intercepted solar radiation (RIcum) was 8 and 11% greater for ‘Pasja’ and kale crops respectively when P was applied compared with the control. Thus, the difference in total dry matter yield due to P application was attributed to the difference in RIcum. Neither the method of application or rate of P applied affected the radiation use efficiency (RUE) of either crop. For ‘Pasja’ the RUE was 1.1 g DM/MJ PAR and for kale 1.33 g DM/MJ PAR. Based on this research, it was concluded that P application increased RIcum as a result of increased LAI. The difference in total DM yield was attributed to differences in RIcum. It is recommended that farmers growing ‘Pasja’ and kale under similar conditions to this experiment should apply 40 kg P/ha for ‘Pasja’ and band 20 kg P/ha for kale. *‘Pasja’ is considered both as a species and cultivar in this document as it marketed as such in New Zealand. Technically ‘Pasja’ is a leaf turnip.