Interaction between weed control and weed spread is discussed. A computer simulation model is used to examine four practical control strategies, each differing in spatial and temporal aspects. The efficiency of the four strategies is assessed in economic terms, for three rates of weed spread. The four strategies were shown to differ in their costs. The differences became more marked as the rate of weed spread increased. Moreover, the ranking of the control strategies, in terms of relative cost, changed as the rate of weed spread changed.The model highlights the importance of weed spread to decision-making in weed control programmes and provides some policy guidelines. It also provides a framework for specific case studies. 相似文献
Long term storage of corn is becoming more common due to the recent increase in the demand for corn by ethanol plants. Infection of maize kernels by toxigenic fungi remains a challenging storage problem despite decades of research. Experts in storage management propose the use of a combination of preventive and monitoring-based responsive strategies in response to mold risks. In this paper, a stochastic dynamic programming model is solved to determine the expected profitability and optimal combination, timing, and intensity of the proposed mold management strategies using farmers’ existing infrastructure. The results show that even with relatively high monitoring costs, maintaining high quality grain using a monitoring-based optimal mold management strategy costs less than the benefit it fetches. The current typical practice by Indiana farmers of aerating the grain until the end of December and doing nothing thereafter bears a high risk of economic losses if grain is to be stored until later during the summer. Generally, the optimal mold management strategy depends on monitoring the biophysical conditions of the grain and the time period under consideration. If the in-bin temperature is high and less than 5% of kernels are mold damaged, then aerating when the outside temperature is at least 3 °C less than the in-bin temperature and continuing to store the grain is the optimal strategy. 相似文献
In the semiarid central region of Argentina the probability that rainfall meets crop requirements during growing season is less than 10%, therefore fallowing has been the most important practice to assure water availability during the growing season. Various site-specific and management factors have been identified as crucial for defining fallow efficiency (FE) and final available water contents (AW). The objective of the present study was to improve our knowledge about the interactions between residue cover, weed control, soil profile depth and water storage capacity (WSC) on FE. In 10 sites covering the environments of calcareous plains and sandy plains of the semiarid central region of Argentina and with different WSC, experiments with 3 different levels of residue cover (H, M, L) and with and without weed control (C and W respectively) during fallow were set up. A completely randomized block design with four repetitions and splits plots to consider weed control was used. Soil texture and organic matter were determined in samples of the A horizon (0.20 m). Bulk density, field capacity, permanent wilting point and soil water contents (monthly frequency) were measured at depth intervals of 0.20 m to the depth of the calcite layer or to 2.00 m depth. Soil temperature was taken in weekly intervals at 0.05 m depth and weed plants, separated by species, were counted at the end of fallow in 4 repetitions of 0.25 m2 in each treatment. An empirical model was developed to predict final AW under these experimental conditions. Model parameters were: Residue level, weed control, WSC, profile depth, and rainfall during fallow. Site-specific conditions (WSC and profile depth) affected water storage during fallow; soils with highest values for both parameters showed highest final AW. Weed density was the most important factor that controlled AW, with on average 35 mm less AW in W than in C treatments. Residue level had a positive effect on final AW in both C and W treatments, with a difference of 18.5 mm between H and L. An interaction between residue level and weed density was observed, indicating weed suppression in H treatments. This was also confirmed by correspondence analysis between residue level and weed species which revealed that different species were related to each level. High residue levels also decreased soil temperature, thus affecting germination of post-fallow crops. The empirical model had an overall average prediction error of 13.7% and the regression between measured and predicted values showed a determination coefficient of 0.77. 相似文献
Agricultural production has forced researchers to focus on increasing water use efficiency by improving either new drought-tolerant
plant varieties or water management for arid and semi-arid areas under water shortage conditions. A field study was conducted
to determine effects of seasonal deficit irrigation on plant root yield, quality and water use efficiency (WUE) of sugar beet
for a 2-year period in the semi-arid region. Irrigations were applied when approximately 50–55% of the usable soil moisture
was consumed in the effective rooting depth at the full irrigation (FI) treatment. In deficit irrigation treatments, irrigations
were applied at the rates of 75, 50 and 25% of full irrigation treatment on the same day. Irrigation water was applied by
a drip irrigation system. Increasing water deficits resulted in a relatively lower root and white sugar yields. The linear
relationship between evapotranspiration and root yield was obtained. Similarly, WUE was the highest in DI25 irrigation conditions
and the lowest in full irrigation conditions. According to the averaged values of 2 years, yield response factor (ky) was 0.93 for sugar beet. Sugar beet root quality parameters were influenced by drip irrigation levels in both years. The
results revealed that irrigation of sugar beet with drip irrigation method at 75% level (DI25) had significant benefits in
terms of saved irrigation water and large WUE, indicating a definitive advantage of deficit irrigation under limited water
supply conditions. In an economic viewpoint, 25% saving of irrigation water (DI25) caused 6.1% reduction in the net income. 相似文献
This paper presents a scenario-based analysis of the impacts of Common Agricultural Policy (CAP) reform for upland agriculture using a Welsh case-study. Specifically the paper examines the impacts of the introduction of the single-farm payment (SFP), the modulation of direct payments under Pillar I of the CAP and the increase in agri-environment payments under Pillar II. Three enterprises are examined, upland sheep rearing with lamb finishing, spring- and autumn-calving suckler-cattle with calf rearing. These enterprises are modelled under conditions in 2002/3, 2004/5 and for the reformed CAP in 2005/6. To support this analysis a livestock system model (LSM) was implemented. The model assesses alternative management regimen using a flexible state-transition approach. This simplifies the realisation and parameterisation of potentially complex management regimen. The model tracks fodder requirements to achieve targets based on defined diets. The LSM underpins whole-farm analyses of stocking-rates, labour and other resource requirements and net-farm income. From the case study the paper concludes that the impacts of the introduction of the CAP reform on the financial performance of the systems are small but negative (a net reduction of around 5% in support). The larger reduction in direct payments (15–18%) is partially offset by agri-environment measures. The paper concludes that while SFP encourages a more market-oriented outlook, the adaptive capacity within systems as they stand is very limited. There are a range of possible adaptation strategies, but for the uplands the extensification of cattle systems by reducing stock numbers and cutting back on labour seems most probable. 相似文献
Reducing the energy derived from fossil fuels within agricultural systems has important implications for decreasing atmospheric emissions of greenhouse gases, thus assisting the arrest of global warming. The identification of crop production methods that maximise energy efficiency and minimise greenhouse gas emissions is vital. Sugar beet is grown in a variety of locations and under a variety of agronomic conditions within the UK. This study identified thirteen production scenarios, representative of over 90% of the UK beet crop, which included five soil types, nine fertiliser regimes and nine crop protection strategies. The fossil energy input, the overall energy efficiency and the global warming potential (GWP) of each production scenario was assessed. This study did not consider the processing of the beet to extract sugar.The overall energy input of the UK beet crop ranges between 15.72 and 25.94 GJ/ha. It produces between 7.3 and 15.0 times as much energy in dry matter at the sugar factory gate as consumed in its production, with an average ratio of 9.7. It has an average GWP of 0.024 eq. t CO2 per tonne of clean beet harvested, equivalent to 0.0062 eq. t CO2 per GJ output. The energy input into each scenario was dictated largely by the energy associated with crop nutrition. The smallest energy inputs per hectare were to crops grown under organic conditions or conventional crops grown on fertile soils (clay loam, silt or peat) or sand soil with broiler manure applied. Those crops with the greatest energy input were grown on sand soil that was irrigated and had mineral fertiliser applied. Although the organic scenario grown on sandy loam soil had one of the smallest energy inputs per hectare, the low yield meant that the energy input was similar per tonne of beet harvested to the conventional crops grown on sandy loam soil. The extra distance travelled by organic beet from the farm to the factory increased the energy input per tonne above that of the conventional scenarios. The GWP was smallest for the conventional crops on the fertile peat and silt soils and greatest on the irrigated sand soils and the sandy loam soils. The organic scenario had a similar GWP to the conventional scenarios on sandy loam to the farm gate, although the greater diesel requirement for transport increased the GWP overall. The GWP per GJ of output for sugar beet in England is similar to published values for wheat. 相似文献
Farming in Serbia is traditionally rainfed. Analyses show that drought events of varying severity are frequent in this region, although there is no specific pattern. There is a distinct need for an objective assessment of the impact of drought on strategic field crops, to solve the dilemma whether irrigation is required or not. For this reason, and based on available field data, the FAO AquaCrop water driven model was selected to simulate yield and irrigation water use efficiency (IWUE) for three major field crops (maize, sunflower, and sugar beet), under two scenarios: (1) natural water supply and adequate supply of nutrients, and (2) supplementary irrigation and adequate supply of nutrients. The experiments presented here were conducted between 2000 and 2007 in northern Serbia, where chernozem soil is prevalent. Data of 2003 cropping seasons were used for local calibration, whereas the remaining years for validation. Results were such that local calibration resulted in very minor changes of AquaCrop coefficients (e.g., maize basal crop coefficient, sunflower harvest index, etc.). Simulated maize yield levels exhibited the greatest departure from measured data under irrigation conditions (−3.6 and 3.3% during an extremely dry and an extremely wet year, respectively). Simulated sunflower yield levels varied by less than 10% in 8 out of 10 comparisons. The most extreme variation was noted during the extremely wet year. The difference between simulated and measured values in the case of sugar beet was from −10.2 to 12.2%. Large differences were noted only in two or three cases, under extreme climatic conditions. Statistical indicators - root mean square error (RMSE) and index of agreement (d) - for all three crops suggested that the model can be used to highly reliably assess yield and IWUE. This conclusion was derived based on low values of RMSE and high values of d (in the case of maize and sugar beet 0.999 for both yield and IWUE, and in the case of sunflower 0.999 for yield and 0.884 for IWUE). It is noteworthy that under wet conditions, the model suggested that sunflower and sugar beet do not require irrigation, as confirmed by experimental research. These data are significant because they show that the AquaCrop model can be used in impartial decision-making and in the selection of crops to be given irrigation priority in areas where water resources are limited. 相似文献
Interactions among water, tillage and weed management practices are complex, and are further complicated by soil and climatic variabilities and heterogeneities. Studies from the tropical regions on possible effects of tillage and water control on weed emergence and growth in the presence and absence of herbicides have yielded conflicting results due to site specificity. Surface ponding of water in rice (Oryza sativa L.) reduces weed emergence and growth with variable degrees of success depending upon water depth, nature of weed species and time of ponding. Most studies, however, indicate that shallow ponding for the first few weeks after planting can effectively suppress weeds. Integration of herbicide in a weed control program makes proper water management more critical. However, good water control is still lacking in most parts of tropical Asia. Investigations of various tillage intensities have revealed that invariably zero tilled soils have more weed population compared with those conventionally tilledin the absence of herbicides. Tillage may bury some weed seeds and expose others that were once deeply buried. Also, repeated tillage will uproot and bury the already germinated weeds. In a diverse weed community situation weed control is effectively achieved if tillage is combined with herbicide application, because tillage is known to enhance herbicide effectiveness. There are reports of identical rice yields being obtained under saturated and flooded water regimes, and zero and conventionally tilled soils. However, effective weed control is required for obtaining such results. Investigations of interactions of tillage intensities and water regimes with weed populations have not been adequately addressed, as most studies have been confined to quantifying competition factors in terms of critical weed population thresholds. Some studies have attempted to explain the nature of competition and its mechanisms. Of the many weed species reported to grow in rice fields, only few actually compete with rice. Generally there are only three to four weed species which are economically important for rice farmers in the tropics. It is these weeds which should be essentially controlled, although total weed control is preferred by most rice farmers. Continuous use of the same control measure in some areas may contribute to a buildup of some tolerant weed species which are difficult to control. Therefore, for effective and sustained weed control, integrated weed management with proper tillage and water control is needed. 相似文献
This study compares productivity of yam under mixed and sole cropping systems and determines the opportunity cost involved in the mixed cropping system preferred by small-holder farmers of southeastern Nigeria.The results show that output of yam per hectare, output/seed input ratio, as well as yield per yam crop stand, were all higher under yam sole cropping than under mixed cropping. Scarce resources of land, labour and capital were more productive under sole cropping. The opportunity cost of producing yam under a mixed corrping system was equivalent to 480·79 per hectare.Considering the labour and financial problems faced by the farmers, and given that the same level of social status is attainable by adopting either of the two cropping systems, it becomes rational to adopt sole cropping with less labour and cash requirements but higher output and returns. 相似文献
The paper compares the economic performance of different crop protection strategies in cotton including the use of transgenic varieties in Shandong Province, China. By means of a Monte Carlo simulation model a comparison was made between conventional insecticide strategies, planting of bollworm-resistant Bt varieties and a strategy of combining both technologies. To account for the observed variation in the toxin content of the Bt varieties in China, two different quality levels of Bt seed are included in the model.The data for the model are season-long records of input use and yield of 150 small-scale cotton producers in five villages in Shandong Province, which are complemented with a survey of Chinese cotton experts. Results show that the high cost pest control strategy based on expensive, good quality Bt seeds is economically inferior to low cost strategies. Scenarios for different pest population levels were included and while the use of low quality Bt seed with need-based applications of insecticides is the dominant control strategy for the normal and high pest pressure scenarios, the use of non-Bt varieties performs well under low pest pressure conditions. These results imply the need to include agro-ecosystem aspects such as pest pressure conditions and the impact of control interventions on both pests and natural enemies in the assessment of pest control strategies. 相似文献