Old Crop,New Society: Persistence and Change of Tartary Buckwheat Farming in Yunnan,China

Traditional agricultural systems are important for crop genetic resources conservation. Many scholars have addressed the problem of traditional cultivar replacement by modern varieties, but few have investigated the entire loss of traditional crops from farming systems. Our prior research suggested that tartary buckwheat (Fagopyrum tataricum (L.) Gaertn.) agriculture is rapidly decreasing in Yunnan China, the center of the crop’s origin and an important repository of on-farm genetic diversity. Using interdisciplinary methodology to determine whether the crop is indeed in decline and evaluate reasons behind planting trends, we found a combination of interacting agroecological, socio-cultural, and institutional factors influence tartary buckwheat planting in Yunnan. Farmer ethnicity, presence of a commercial market for the crop, and government agricultural policy were particularly important. Low commercial value of the crop compared to other alternatives, reduction of available farmland, and labor shortages were major reasons cited for crop abandonment. Despite an overall reduction in tartary buckwheat planting across a wide spectrum of farms, we also found the crop retains subsistence, rotational and cultural value for many Yunnan farmers. We conclude that although Yunnan farms are increasingly managed commercially rather than for subsistence, tartary buckwheat will continue to occupy a niche in the agricultural landscape.     

Remote Assay for Chlorophyll Photosynthetic Potential of Crops on the Example of Wheat

An optical remote assay for biological production of crops in the field during the vegetation period is proposed. Our calculations demonstrate a good correlation between the S(t) value and crop yield (in the range from 0.85 to 0.90); the higher is S(t) for the vegetation period, the higher is the crop yield. S(t) value can be used to calculate the increase in dry and wet biomass for various crops during the whole vegetation period with an error of less than 10–12%. The absolute error of crop yield for 110 cultivars of wheat, oats, and barley during the experimental period was ±3–3.5 quintal/ha with the mean crop yield of 14–38 quintal/ha.     

A stress-free walk from Arabidopsis to crops

Global concerns such as food security and climate change have highlighted an urgent need for improved crop yield. Breakthroughs in Arabidopsis research provide fresh application routes to achieve novel crop varieties that can withstand or avoid stresses imposed by a changing growth environment. This review features advances in CBF-stress signalling that expand opportunities to produce super hardy crops that can withstand multiple abiotic stresses. It examines molecular external coincidence mechanisms that avoid abiotic stresses by confining plant growth and reproduction to favourable times of the year. The potential value of mathematical modelling approaches is discussed in relation to improving crop-stress resistance or avoidance, and forecasting crop performance.     

The potential of hemp (Cannabis sativa L.) for sustainable fibre production: a crop physiological appraisal

Hemp (Cannabis sativa L.) fibre can be used as a raw material for paper and textile production. A comprehensive research programme in the Netherlands has concluded that fibre hemp is a potentially profitable crop, having the right profile to fit into sustainable farming systems. This paper presents an appraisal of the crop physiological characteristics and the agronomic potential of hemp. Parameter values of basic crop physiological characteristics such as light interception potential, radiation use efficiency and dry matter partitioning coefficients are given. The effect of crop management decisions such as cultivar choice, sowing date, plant density, and harvest date on the value of these parameters is discussed. A simple crop growth model was used to assess the yield potential of hemp for the climate of the Netherlands. Calculations made for a non-stressed late-flowering hemp crop sown on 15 April and harvested on 15 September give a stem dry matter yield of 17.1 t ha^-1. The effects of advancing or delaying sowing or harvest date on stem yield were calculated. Crop physiological characteristics of hemp are compared to those of kenaf (Hibiscus cannabinus L.). Radiation use efficiency and dry matter partitioning coefficients of the two crops are similar. Base temperatures for development and growth are lower in hemp than in kenaf. In a temperate climate with cool springs, canopy establishment will be more rapid in hemp than in kenaf. Hemp seems an excellent candidate to fill the niche for an annual fibre crop in a temperate climate.     

Crop management affects pollinator attractiveness and visitation in oilseed rape

Ecological intensification of agriculture implies managing ecological processes to improve performance of agricultural systems. However, impacts on relevant ecological functions such as insect pollination from other crop management factors are poorly explored. Pest insects and crop resources such as water availability can directly affect crop yields, but it is unknown if there are indirect effects through effects on insect pollination. With a factorial experiment, we examined how irrigation and control of pollen beetles affected crop attractiveness and pollinator visitation in an open-pollinated spring oilseed rape cultivar. We studied how irrigation and pest control modified the production of flowers and nectar in oilseed rape, and if this in turn affected the flower-visitation of honey bees and bumble bees. Pest control increased the number of oilseed rape flowers by 69%, and the amount of nectar per flower with 36%, but for the latter only in non-irrigated plots. Furthermore, we found higher pollinator densities in plots with reduced pollen beetle densities. Pest control also reduced the number of non-legitimate flower visits, suggesting higher pollination efficiency in plots with reduced pollen beetle densities. We show that crop management affects the value of mass-flowering crops as a resource for pollinating insects. Development of pest control tools that are harmless to pollinators could increase the value of flowering crops as food resources for pollinating insects.     

内蒙古典型草原作物系数的动态模拟与确定

作物系数是计算作物需水量必不可少的参数。利用2008年野外水分试验和4个气象站近26年的土壤水分和气象等常规观测资料, 以相关分析和回归分析等统计学方法为基础, 根据水量平衡原理计算了内蒙古典型草原区的作物系数, 分析了其在生长期和不同站点间的变化规律; 建立了典型草原标准作物系数与返青后年日数和大于0 ℃积温的模拟方程, 相关指数在0.94以上。在分析湿润指数、叶面积指数和盖度与作物系数关系的基础上, 提出标准作物系数的气候修正方法和胁迫条件下作物系数的修正方法。同时, 与修正后的联合国粮农组织(FAO)推荐值比较后得出, 生长季标准作物系数的平均值为0.60, 最大值为1.02; 不同生长阶段作物系数的典型值分别为: 初始生长期0.40, 生长中期0.93, 生长后期0.80, 相应的阈值范围为0.35-0.45、0.85-1.00和0.70-0.90。通过旬蒸散量的模拟计算值与蒸渗仪实测结果的比较, 平均相对误差在20%-24%之间, 生长旺盛期大多低于10%, 从而初步证明该文提出的方法在内蒙古典型草原区有较好的适用性。     

The globalization of a ceremonial tree: The case of cacao (Theobroma cacao) among the Mopan Maya

The uses, perceptions, and economic significance of cacao have radically changed in the past 25 years among the Mopan Maya in southern Belize. Cacao was once perceived as a ceremonial crop with little cash value. Over the past 25 years though, cacao has become the most important cash crop grown by the Mopan Maya. The Mopan Maya grow organic cacao that has allowed them to tap into a specialized, high-end chocolate market. However, the emergence of cacao as an important cash crop has altered traditional uses and created conflicts in villages where increasing acreage of reservation lands are planted with cacao, thereby assigning a commercial value to previously communal lands.     

Evaluating the efficiency of future crop pattern modelling using the CLUE-S approach in an agricultural plain

Land Use Land Cover (LULC) change detection is an essential source of information for understanding the magnitude of environmental change to implement future development strategies. Sophisticated techniques (i.e. modelling) have been applied in the last decades worldwide for accurate LULC classification and future projections. However, using these techniques in heterogeneous agricultural regions to extract crop-related information is still challenging. This study aimed to evaluate the efficiency and applicability of crop pattern prediction for the year 2050 with the CLUE-S model in an agricultural plain. The model was calibrated and validated based on the LULC changes to model future changes of the crop pattern by 2050. Twelve driving factors were utilised to quantify the relationship of LULC classes. The statistical relationship among the factors was examined with a Binomial Logistic Regression approach. Additionally, the magnitude of change in agricultural crop patterns between 2015 and 2050 was calculated according to local/regional policies and incorporated to the model as scenario layer. Future model results indicated that the cotton would increase by % 45 whereas maize would decrease by % 10 compared to 2015. The model performance was evaluated using the ground truth from the field observations considering the agricultural policies through the ROC (Receiver Operating Characteristic) indicators. The mean ROC value for the agricultural crop patterns was calculated as 0.71, while ROC values for other LULC classes were over 0.90. Overall a 0.79 ROC value was achieved as the model accuracy.     

A Study of Blackfly (Aphis fabae Scop.) on Broad Bean Plants,and of Insects Associated Directly or Indirectly with the Colony

Rapid-cycling brassicas, originally developed for plant breeding research, promise to be of value in school and college teaching. Within the family Cruciferae, they are members of the same genus and species as the crop brassicas of great economic importance. The crop brassicas are briefly reviewed as they set the rapidcycling plant cultivars in their context. The way in which the cultivars, with their five-week seed-to-seed cycle, were developed is described and an account of their developmental morphology given. The standardized methods for growing these fast plants on capillary matting under light banks is explained. Their insect pollination and a method of artificial pollination with beesticks are described and methods for circumventing the flower's self-incompatibility reviewed. Practical physiology and genetics exercises are listed to illustrate the plant's potential value for teaching.     

Cassava: an appraisal of its phytochemistry and its biotechnological prospects

The present state of knowledge of the phytochemistry of small molecules isolated from the roots and leaves of cassava, Manihot esculenta Crantz (Euphorbiaceae), is reviewed. Cassava roots are an important source of dietary and industrial carbohydrates, mainly eaten as a source of starch, forming the staple food to over 500 million; additionally, the roots have value as a raw material for industrial starch production and for animal feed giving the crop high economic value, but it suffers markedly from post-harvest physiological deterioration (PPD). The hydroxycoumarins scopoletin and its glucoside scopolin as well as trace quantities of esculetin and its glucoside esculin are identified from cassava roots during PPD. The biotechnological prospects for cassava are also reviewed including a critical appraisal of transgenic approaches for crop improvement, together with its use for bioethanol production, due to cassava's efficient ability to fix carbon dioxide into carbohydrate.     

Contextualising pollination benefits: effect of insecticide and fungicide use on fruit set and weight from bee pollination in lowbush blueberry

Current approaches to determining the value of insect pollinators to crop yield assume that plants are primarily pollen limited. This is particularly relevant in a crop such as lowbush blueberry, Vaccinium angustifolium, where no fruit will set without insect‐mediated cross‐pollination. However, such valuations usually ignore other factors that are necessary to maximise crop yields. We conducted an experiment to test whether yields of lowbush blueberry attributed to pollinator activity increased independently of pest management. The experiment was a 2 × 2 factorial design, incorporating two intensities of pollination (25% or 100% of flowers), and two levels of insect and disease management with recommended fungicide and insecticide sprays (‘full inputs’ or ‘no inputs’). We demonstrated an interaction between these two factors, such that increased fruit set at harvest was only possible if 100% pollination was combined with the ‘full input’ treatment. Furthermore, increases in fruit weight among the remaining treatments were only realised in the ‘full input’ plots. These results suggest that the value accorded to pollinator activity in blueberries is strongly dependent upon pest and disease management of the crop.     

Pollinators and pollination of oilseed rape crops (Brassica napus L.) in Ireland: ecological and economic incentives for pollinator conservation

Pollinators are beneficial for many wild and crop plants. As a mass-flowering crop, oilseed rape has received much focus in terms of its pollination requirements but despite a threefold increase in area of cultivation of this crop in Ireland over the past 5 years, little is known about its pollination here. We surveyed the flower visiting insects found in commercial winter oilseed rape fields and evaluated the importance of different pollinator groups, investigated the contribution of insect pollination to oilseed rape seed production, and estimated the economic value of insect pollination to the crop at a national level. Our data showed that winter oilseed rape is visited by a wide variety of insect species, including the honeybee, bumblebees, solitary bees, and hoverflies. The honeybee, Eristalis hoverflies and bumblebees (especially Bombus sensu stricto and B. lapidarius) were the best pollinators of winter oilseed rape based on the number of pollen grains they carry, visitation rates per flower and their relative abundance per field. Exclusion of pollinators resulted in a 27 % decrease in the number of seeds produced, and a 30 % decrease in seed weight per pod in winter crops, with comparable values from a spring oilseed rape field also. The economic value of insect pollination to winter oilseed rape was estimated as €2.6 million per annum, while the contribution to spring oilseed rape was €1.3 million, resulting in an overall value of €3.9 million per annum. We can suggest the appropriate conservation and management of both honeybees and wild pollinators in agricultural areas to ensure continued provision of pollination services to oilseed rape, as a decrease in insect numbers has the potential to negatively influence crop yields.     

黄土高原-青藏高原过渡带农户生产系统的能值分析——以通渭-渭源-夏河样带为例

通渭-渭源-夏河样带位于黄土高原向青藏高原过渡的生态区,是我国典型农牧交错带。长期以来,不合理的农业生产结构带来生态、经济等一系列问题,制约了该地区草地农业的持续发展。为此,从能值角度分析区域农业生产结构,可为农(牧)户决策提供理论依据,为优化区域农业生产结构提供科学依据。收集研究区农户作物和家畜生产的投入-产出数据,用能值方法分析农户生产系统结构特征、农户生产决策行为及生产系统耦合作用,用结构方程模型(SEM)分析农户生产系统能量的组分间流动。研究发现,随海拔增高,农户作物生产活动减少,作物总产出能值递减;尽管作物生产主要投入和产出要素相同,但同一作物不同地点的同一要素投入、产出能值和能值收益率均存在显著差异(P0.05);同一地点不同作物的同一要素投入、产出能值和能值收益率均差异显著(P0.05);作物生产投入要素中,有机肥能值在通渭和渭源均有较高贡献;作物投入和产出能值的农户生产决策阈值自东向西递减,在能值投入初始增加时,夏河农户作物生产规模扩增最为迅速。家畜养殖规模、能值投入和产出自东向西递增;通渭和渭源,小麦秸秆和苜蓿作为中间投入,能值贡献率达到80%;夏河家畜生产投入要素中,补饲粮食能值贡献率高达90%;家畜投入和产出能值的农户生产决策阈值点自东向西递增;能值收益率随耦合度的增加呈指数上升,通渭和渭源能值收益率的增加速度,随耦合度的增加趋于缓慢,而夏河能值收益率增速随耦合度的增加而上升。调整作物生产内部粮、经、饲产品比例结构,加强作物生产与家畜生产耦合作用,优化天然草地利用方式,实现生态效益最大化;阈值点调控农户生产决策行为,实现该区域农业生产结构优化。     

Aerobiological and meteorological factors’ influence on olive (Olea europaea L.) crop yield in Castilla-La Mancha (Central Spain)

Knowledge of the main biological and climate factors influencing final harvest is becoming increasingly necessary in order to obtain reliable crop estimates and, thus, ensure optimised, effective private crop management. This knowledge is also of great value to public agricultural institutions for the planning of government subsidies. Castilla-La Mancha (Central Spain) is the second largest olive-oil-producing region in Spain, the highest olive-oil-producing country in the world. This study sought to identify the main factors influencing olive fruit production in this region, including atmospheric pollen as an index of flowering intensity, and meteorological data over the flowering and fruiting seasons in two main olive-producing provinces of the region: Ciudad Real and Toledo. Statistical analysis indicated that the annual pollen index (PI) was the variable influencing most the final olive crop in both provinces. The maximum temperature in March was the meteorological variable affecting most the annual olive crop. Also, the rainfall registered in October influences the final fruit production. The integration of aerobiological and meteorological data represents an important step forward in the development of future crop forecasting models in the region of Castilla-La Mancha.     

Nematode Economic Thresholds: Derivation,Requirements, and Theoretical Considerations

Determinatitm and use of economic thresholds is considered essential in nematode pest management programs. The economic efficiency of control measures is lnaximized when the difference hetween the crop valne and the cost of pest control is greatest. Since the cost of reducing the nematnde pnpnlation varies with the magnitutle of the reduction attempted, an economic (optimizing) threshold can be determined graphically or mathematically if the nature of the relationships between degree of control and cost, and nematode densities and crop value are known. Economic thresholds then vary according to the nematode control practices used, environmental influences on the nematode damage fnnction, and expected crop yields and values. A prerequisite of the approach is reliability of nematode population assessment techniques.     

Comparative Transcriptomic Analysis of Storage Roots in Cassava During Postharvest Physiological Deterioration

Plant Molecular Biology Reporter - Cassava is an important starchy and food crop; however, the commercial value of cassava is seriously constrained by postharvest physiological deterioration (PPD)....     

Operational seasonal forecasting of crop performance

Integrated, interdisciplinary crop performance forecasting systems, linked with appropriate decision and discussion support tools, could substantially improve operational decision making in agricultural management. Recent developments in connecting numerical weather prediction models and general circulation models with quantitative crop growth models offer the potential for development of integrated systems that incorporate components of long-term climate change. However, operational seasonal forecasting systems have little or no value unless they are able to change key management decisions. Changed decision making through incorporation of seasonal forecasting ultimately has to demonstrate improved long-term performance of the cropping enterprise. Simulation analyses conducted on specific production scenarios are especially useful in improving decisions, particularly if this is done in conjunction with development of decision-support systems and associated facilitated discussion groups. Improved management of the overall crop production system requires an interdisciplinary approach, where climate scientists, agricultural scientists and extension specialists are intimately linked with crop production managers in the development of targeted seasonal forecast systems. The same principle applies in developing improved operational management systems for commodity trading organizations, milling companies and agricultural marketing organizations. Application of seasonal forecast systems across the whole value chain in agricultural production offers considerable benefits in improving overall operational management of agricultural production.     

Litter standing crop of shrubland ecosystems in southern China

Aims Litter is an important component of terrestrial ecosystems, which plays significant roles in carbon and nutrient cycles. Quantifying regional-scale pattern of litter standing crop would improve our understanding in the mechanism of the terrestrial ecosystem carbon cycle, also with help in predicting the responses of carbon cycle of terrestrial ecosystems to future climate change. Our objective was to examine variation in litter standing crop of shrublands along the environmental gradients in southern China.
Methods During 2011-2014, we investigated the litter standing crop at 453 shrublands sites by the stratified random sampling, reflecting climatic and soil attributes across southern China.
Important findings We found that the mean value of litter standing crop in these shrubland ecosystems across southern China was 0.32 kg·m^-2. It was 68% of forest litter standing crop (0.47 kg·m^-2) and was five times higher than that in grasslands (0.06 kg·m^-2) in China. Litter standing crop increased with latitude. Our results showed that litter standing crop was negatively correlated with mean annual temperature, soil total P and soil pH, but not significantly correlated with other environmental variables, including mean annual precipitation, soil carbon, nitrogen and soil organic matter. The conversion coefficient of carbon in litter standing crop was 0.41, which is significantly lower than that of vegetation in shrublands (0.50), resulting in an overestimate in carbon storage of litter standing crop in shrubland up to 22% by applying wrong conversion coefficient. We concluded that litter standing crop of shrublands is an important component in terrestrial ecosystems. Mean annual temperature was the most important environmental variable, accounting for the variation in litter standing crop of shrublands in southern China. To our best of knowledge, this is the first study to quantify variation in litter standing crop of shrublands at the regional scale. Therefore, our study will have important implications for assessing the carbon budget of terrestrial ecosystems in China.