Fungal infections of barley have tremendous agricultural significance, and can be detrimental or beneficial. Beneficial root infections often involve endophytic fungi, but endophytic associations do not always confer benefits on their hosts. Endophyte infection can be negative, positive or neutral for the host. Benefits to barley and other plants infected with endophytic root fungi include an increase in seed yield, enhanced resistance to pathogens and improved stress tolerance. Even if an endophyte is never pathogenic, it is not always beneficial. The most important factors that determine the nature of the relationship are the specific combination of partner genotypes and developmental stage, and the ecological and environmental setting. The nutrient status of the plant and the availability of soil nutrients may have little effect on the degree of beneficial endophyte colonization and, unlike mycorrhizae, there is no apparent increase in endophyte-associated phosphorous transfer. There are indications of an association between successful endophyte colonization and high soil pH and clay content. The greatest benefits to the barley plant resulting from the associations seem to be obtained in abiotically stressed environments. Fungal infection may give the plant a greater ability to cope with the stress if the partners are in a balanced relationship. Each new study reveals an increasing diversity of beneficial fungal root endophytes and the full potential of these organisms is still to be determined. Further studies are urgently required to develop specific beneficial root–endophyte associations, or combination of them, that are tailored to individual barley varieties for maximum impact in agriculture.

Two winter wheat (Triticum aestivum L.) cultivars, Jimai20 and Shannong12, differing in phosphorus (P) utilization efficiency, were selected to study the effect of P application rate on changes in glutenin macropolymer (GMP) size distribution and the content of high-molecular-weight glutenin subunits (HMW-GS) in wheat grain. Four P levels (0, 40, 100 and 160 kg/ha) were applied under N1 (112·5 kg/ha) and N2 (225 kg/ha) conditions in the field, in 2008/09 and 2009/10. The results showed that increased P levels favoured HMW-GS synthesis under N1 conditions, but had a less pronounced effect under N2. When compared with the control, the volume proportions of <10 μm GMP particles in grains of both cultivars were significantly decreased, and those of >100 μm were increased in response to P application. The volume proportions of 10–100 μm GMP particles in the cultivars Jimai20 and Shannong12 were respectively lower and higher in response to P application than with no P fertilizer. At maturity, for both cultivars, total HMW-GS content was negatively correlated with GMP particle volume of <10 μm, but positively correlated with that of >100 μm. These observations suggest that both P and N affect protein synthesis in wheat grains and there exists a relationship between HMW-GS content and the synthesis of large GMP particles (>100 μm). The N×P interaction was the most important factor to regulate the HMW-GS and GMP contents.

Non-linear regression (NLR) techniques are used widely to fit weed field emergence patterns to soil microclimatic indices using S-type functions. Artificial neural networks (ANNs) present interesting and alternative features for such modelling purposes. In the present work, a univariate hydrothermal-time based Weibull model and a bivariate (hydro-time and thermal-time) ANN were developed to study wild oat emergence under non-moisture restriction conditions using data from different locations worldwide. Results indicated a higher accuracy of the neural network in comparison with the NLR approach due to the improved descriptive capacity of thermal-time and the hydro-time as independent explanatory variables. The bivariate ANN model outperformed the conventional Weibull approach, in terms of RMSE of the test set, by 70·8%. These outcomes suggest the potential applicability of the proposed modelling approach in the design of weed management decision support systems.

Sulphur (S) is one of the six main macroelements required to sustain the growth of plants. Sources include soil, fertilizer and atmospheric deposition, which has been reduced by 85% over the last three decades. Risks of S deficiencies are now recognized in high S-demanding species such as Brassica napus L. With the aims of evaluating the risk of excessive or insufficient fertilization and identifying robust relationships that may be used as plant S status indicators, 57 commercial crops of oilseed rape were selected among contrasting soils and along a rainfall gradient that may affect soil S availability. Cultivation practices were investigated and the S and nitrogen (N) concentrations of soil, senescing leaves, stems and seeds were analysed. Despite an excessive organic N supply and large variation in S supply (from 0 to 112 kg S/ha), principal component analysis using 43 parameters indicated that seed yield was poorly related to N and S fertilization rates. While the N and protein-N concentrations in seeds were inversely related to oil and glucosinolate concentrations, they were linked to S and sulphate (SO42−) accumulation in the seeds. Sulphate concentrations in senescing leaves, stems or seeds could be deduced from total S concentrations, as they were positively and highly correlated. Sulphate accounted for on average 0·69 of total S in senescing leaves with minimum and maximum values of 0·007 and 0·94, which revealed conditions of limited and excess supply of S, respectively. This high variation of SO42− concentration in leaves can be interpreted as the result of its mobilization triggered by S deficiency, but cannot be used alone as an indicator of plant S status. A comparison with plants grown in controlled conditions under different S supplies suggests that the intensity of S starvation affects N metabolism, leading to NO3− (nitrate) accumulation. It is further suggested that dual evaluation of SO42− and NO3− concentrations in senescing leaves could be used at the vegetative stage as a field indicator to adjust S fertilization.

In recent years, the term ‘adaptive management’ has become integrated in government agriculture and conservation programmes in the United States. Adaptive management is described as ‘a process of developing improved management practices for efficient production and resource conservation by use of participatory learning through continuous systematic assessment’, by the NEERA1002 Coordinating Committee on Adaptive Nutrient Management. Such developments reflect recognition by government agencies of (1) the need for continuous improvement in managing agricultural systems to enhance productivity and environmental protection at farm, state, watershed and federal levels, and (2) the effectiveness of continuous systematic assessment and an outcome-based evaluation in achieving and documenting such progress. Various methods have existed for knowledge development and transfer in the past, some effective, others less successful. The present paper presents and discusses lessons learned from three different adaptive management approaches, implemented at field, whole farm and regional/state levels, which contributed to improvements in field, farm and regional/state balances for nitrogen and phosphorus in New York. These examples show that a combination of governmental regulations and an innovative, outcome-focused adaptive management approach that includes research, extension, and a focus on human dimensions (a people-based approach) will be most effective in obtaining greater sustainability of agriculture in future years.

The Arabidopsis gene AVP1 encodes a vacuolar H+-translocating inorganic pyrophosphatase (enzyme classification (EC) 3.6.1.1) that functions as an electronic proton pump in the vacuolar membrane and affects growth development and the stress response in plants. The current study was conducted to evaluate the molecular properties of the Arabidopsis thaliana vacuolar H+-pyrophosphatase (AVP1) gene in rice (Oryza sativa L.). Incorporation and expression of the transgene was confirmed by semi-quantitative reverse-transcription polymerase chain reaction (RT-PCR) and quantitative real-time PCR. Expression of the AVP1 gene in transgenic rice plants (TRP1 and TRP2) resulted in a significantly enhanced tolerance to 5·8 g/l NaCl under greenhouse conditions when compared with the control wild-type (WT) rice plants. Augmented AVP1 expression in the transgenic rice plants (TRP) also affected total biomass and improved ion homoeostasis through increased accumulation of Na+ ions in whole tissues when compared with control WT rice plants under high salinity conditions. The photochemical yield (Fv/Fm) values of TRP were higher than those of the WT rice plants, even though the values decreased over time in both the WT and transgenic (TRP1 to TRP8) rice plants. Furthermore, rice grain yield and biomass of the TRP were at least 15% higher based on culm and root weights, and panicle and spikelet numbers when compared with those of the WT rice plants during the 2010 and 2010 growing seasons in South Korea. Thus, these results suggest that ectopic AVP1 expression conferred tolerance and stress resistance to genetically modified transgenic crop plants by improving cellular ion homoeostasis in response to saline conditions, which enhanced rice yield and biomass under natural conditions in paddy fields.

The effects of projected changes in climate and atmospheric CO2 concentration on productivity and nitrogen (N) leaching of characteristic arable and pig farming rotations in Denmark were investigated with the FASSET simulation model. The LARS weather generator was used to provide climatic data for the baseline period (1961–90) and in combination with two regional circulation models (RCM) to generate climatic data under the Intergovernmental Panel on Climate Change (IPCC) A1B emission scenario for four different 20-year time slices (denoted by midpoints 2020, 2040, 2060 and 2080) for two locations in Denmark, differing in soil and climate, and representative of the selected production systems. The CO2 effects were modelled using projected CO2 concentrations for the A1B emission scenario. Crop rotations were irrigated (sandy soil) and unirrigated (sandy loam soil), and all included systems with and without catch crops, with field operation dates adapted to baseline and future climate change. Model projections showed an increase in the productivity and N leaching in the future that would be dependent on crop rotation and crop management, highlighting the importance of considering the whole rotation rather than single crops for impact assessments. Potato and sugar beet in arable farming and grain maize in pig farming contributed most to the productivity increase in the future scenarios. The highest productivity was obtained in the arable system on the sandy loam soil, with an increase of 20% on average in 2080 with respect to the baseline. Irrigation and fertilization rates would need to be increased in the future to achieve optimum yields. Growing catch crops reduces N leaching, but current catch crop management might not be sufficient to control the potential increase of leaching and more efficient strategies are required in the future. The uncertainty of climate change scenarios was assessed by using two different climate projections for predicting crop productivity and N leaching in Danish crop rotations, and this showed the consistency of the projected trends when used with the same crop model.

The objective of the present study was to present the theory and application of best linear unbiased prediction (BLUP) in reciprocal recurrent selection (RRS). Seven progeny tests from two RRS programmes with popcorn (Zea mays L. ssp. mays [syn. Zea mays L. ssp. everta (Sturtev.) Zhuk.]) populations were conducted and analysed for expansion volume and grain yield. The interpopulation half- and full-sib family models were fitted using ASReml software. Half-sib selection is equivalent to selection for the general combining ability (GCA) of the common parents. With inbred full-sib progeny and BLUP analysis, it is possible to predict the general and specific combining ability effects. The standard error of prediction of the progeny effect was lower than the standard deviation of the best linear unbiased estimation (BLUE) estimate. For half- and full-sib RRS, the BLUE and BLUP provided highly correlated estimates of progeny genotypic values. The coincidence between selected parents ranged from 64 to 95%. With inbred full-sib progeny, the correlations between the BLUE of progeny genotypic values and the BLUP of GCA effects were lower. Consequently, the coincidence between selected parents was lower, ranging from 0 to 57%. The percentage of common selected inbred progeny based on the BLUE and BLUP of the progeny genotypic value ranged from 57 to 100%.

Winter oilseed rape (Brassica napus) is an important crop for human consumption and biofuel production and its production is increasing worldwide. It is generally assumed that cross-pollination by insects increases oilseed rape yield but testing of this has been restricted to a few rapeseed varieties and produced varying results. The present study determines whether cross-pollination benefits a number of oilseed rape varieties by comparing yield in the presence and absence of insects. Four rapeseed varieties (Sherlock, Traviata, Treffer and Visby) were used with ten individuals each in four pollination treatments: (1) supplementary hand-pollination, (2) open pollination with insects able to access the flowers, (3) wind pollination and (4) autonomous self-pollination. Across all four varieties, open and supplementary hand-pollination treatments resulted in higher fruit set, numbers of seeds per pod and seed yield compared with wind and self-pollination. The cross-pollination benefits, however, differed among rapeseed varieties: Treffer and Visby had a higher dependence on open (insects) and supplementary cross-pollination than Sherlock and Traviata. Across all four varieties, seed weight compensated for reduced fruit set and was highest when plants were self-pollinated. The present results highlight the importance of considering varietal differences in crop pollination research. Information on the pollination requirements of crop varieties is required by farmers to optimize management decisions in a world of increasing agropollination deficits.

Helianthus tuberosus L. is regarded as one of the most important bioenergy crops because of its tolerance to arid conditions and its high biomass production. Future breeding programmes will rely on the available germplasm, thus necessitating a critical assessment of genetic diversity and differentiation in the species. The germplasm diversity and regional differentiation of H. tuberosus L. was assessed for 60 accessions collected from East Asia and Europe by means of amplified fragment length polymorphisms (AFLPs), phenotypic traits and chemical analysis. The analysis did not reveal separate clusters for accessions from East Asia and Europe, with 5% for genetic and 0·27% for phenotypic variability, although some regional accessions were closely related to each other with respect to morphological, chemical and genetic variation. Both phenotypic and genetic relationships showed a moderate correlation with colour of tubers, which can be used as an important criterion for germplasm management of the crop. Three major genetic groups were identified from the accessions. Within the groups derived from the genetic data, both morphological and chemical traits were very variable. The most important features of Groups I, II and III were: Group I, strong sexual reproduction, higher above-ground biomass and nutrient content; Group II, longer vegetative growth; Group III, higher tuber yield and total sugar content. High diversity was found in both European and East Asian accessions as well as within each genetic group, suggesting that there is a strong base for future breeding from these plants.

Leaves of Nagafu No. 6 were transformed by the Agrobacterium tumefaciens-mediated method, and 158 hyg-resistant buds were obtained. Using fresh leaf tissue, seven positive lines were obtained by polymerase chain reaction (PCR) with total DNA, and four by reverse transcriptase–polymerase chain reaction (RT–PCR) with total RNA. The results showed that the MhTGA2 gene was successfully transformed into Nagafu No. 6 plants and expressed. At 4 months after transplanting, photosynthetic parameters of young leaves were determined using transgenic and control plants prior to the determination of leaf surface characteristics (epidermal structure and stomatal distribution) by scanning electronic microscopy. The results showed that the net photosynthesis rate, the instantaneous carboxylation rate and stomatal conductance of transgenic plants were higher than the control, whereas the internal carbon dioxide (CO2) concentrations of the transgenic plants were lower. Under non-saline conditions, the stomata of the transgenic plants were better distributed than in the control. Under saline conditions, the epidermal structure of the control leaves was severely hypohydrated and the quantity of stomata was significantly decreased. Conversely, the epidermal structure of transgenic leaves was not significantly altered, indicating salt-stress tolerance. The overall results suggested that MhTGA2 may play a crucial role in the response to salt stress in Nagafu No. 6.

In order to reduce bruising damage to fruits, it is necessary to know the effect of fruit properties on bruise susceptibility. Statistical bruise estimation models were constructed to determine the level of bruising in Golden Delicious apples. The regression models were built based upon peak contact force (PF) and impact energy as the main independent variables, with other parameters including fruit curvature radius, temperature and acoustic stiffness (a measure of texture/firmness of fruit and vegetables). Significant effects of acoustic stiffness, temperature and curvature radius and some interactions on bruising were obtained with determination coefficients of 0·87 and 0·93 for the force and energy models, respectively. It was demonstrated that increasing the temperature and lowering acoustic stiffness reduced bruise damage to the fruit. Golden delicious apples with a low radius of curvature developed more bruise damage compared to large apples when impacts were low, but the opposite was true for high impacts, with less damage for small fruit. No significant differences were observed between the predicted bruise volumes of models that included PF and impact energy at all impact levels.

Substantial improvements of agricultural systems are necessary to meet the future requirements of humanity. However, current agricultural knowledge and information systems are generally not well suited to meet the necessary improvements in productivity and sustainability. For more effective application of research output, research producers and research consumers should not be considered as separate individuals in the knowledge chain but as collaborating partners creating synergy. The current paper investigates the relationships between scientists and stakeholders and identifies approaches to increase the effectiveness of their communication. On-farm research has proven to be an effective means of improving exploitation of research output at farm level because it connects all relevant partners in the process. Furthermore, pilot farms can act as an effective platform for communication and dissemination. Regional networks of pilot farms should be established and connected across regions.

Rates of commercial certified seed (CCS) use are low, but comprehensive upgrading of farm-saved seed (FSS) is also often neglected in northern Europe, represented in the present paper by Finland. In general, available growth resources are particularly underutilized in the northern and eastern parts of Europe, in contrast with the prime agricultural areas of western Europe. The present paper demonstrates the potential of increasing CCS use, and/or upgrading FSS, to boost yields at regional and national level. The assessment indicated that a substantial increase in CCS use in Finland, to correspond with that of Sweden and Denmark, is a basic, readily available and easily applicable means of sustainably intensifying northern European barley (Hordeum vulgare L.) production. Yield benefits averaged 440 kg/ha, corresponding to a 13% increase at national scale. Cultivar change contributed to about one-third of the benefit. At the national scale, an additional 20 000 tonnes of nitrogen (c. 8% increase) would be removed with the yields that would considerably exceed 2000 Gg annually compared with the present c. 1900 Gg total production of barley. Higher use of CCS represents a win–win situation for farmers, plant breeding companies and industry.

Sunflower (Helianthus annuus L.) and rapeseed (Brassica napus L.) are considered as the most suitable crops for biodiesel production in the Mediterranean basin. Soybean (Glycine max L.) could also be used, under certain conditions. In Greece, the farming practice adopted in each region varies significantly, leading to significant differences in the levels of emitted greenhouse gases (GHG). Greenhouse gas emissions were estimated during the cultivation phase as grams of carbon dioxide equivalents (g CO2e) per megajoule (MJ), followed by emission savings (%) estimation when fossil fuels are replaced by biodiesel. Crop and region comparisons provided important information towards promoting sustainability. Overall, sunflower demonstrated the lowest average emissions, 53·8 g CO2e/MJ, followed by rapeseed and soybean. Furthermore, rapeseed achieved the lowest emission saving level required by European legislation in most cases studied, with an average value of 37%. Irrigation and nitrogen fertilization were the operations mostly contributing to the total quantity of GHG emissions. More specifically, the highest GHG emissions were found for soybean irrigation (34%) and rapeseed nitrogen fertilization (68%).

Herbage accumulation is determined by the tissue turnover of individual plants and by the regulation patterns of the number of individuals in a plant population, which function in conjunction to enable swards to adapt to variations in growth and management conditions. Based on the hypothesis that intermittent grazing strategies change the proportion of basal and aerial tillers and, consequently, sward herbage accumulation, the objective of the current experiment was to evaluate the components of herbage accumulation in elephant grass cvar Napier (Pennisetum purpureum Schum. cvar Napier) from January 2011 to April 2012. The treatments corresponded to combinations of two post-grazing (post-grazing heights of 35 and 45 cm) and two pre-grazing conditions (0·95 and maximum canopy light interception during regrowth – LI0·95 and LIMax) and were allocated to experimental units (850 m2 paddocks) according to a 2×2 factorial arrangement in a complete randomized block design with four replications. The following response variables were evaluated: the population density of basal tillers (TPDb) and the population density of aerial tillers (TPDa), the number of aerial tillers per supporting unit (A/B+VC), growth rates of the leaf (LGR) and stem (SGR), leaf senescence rate, net leaf accumulation rate (LAR), and the contributions of basal and aerial tillers to sward growth and senescence. The swards managed with the LI0·95 target had greater TPDb than those managed with the LIMax target, but no difference was recorded between the LI pre-grazing targets for TPDa. The larger A/B+VC ratio recorded for the swards managed with the LIMax target resulted in a higher contribution of aerial tillers to the growth and senescence of swards. This growth strategy resulted in a higher SGR and lower LGR and LAR for the swards managed with the LIMax target relative to those managed with the LI0·95 target. The post-grazing height targets affected only LGR during winter and the second summer and SGR on average for the experiment, with higher values recorded for the swards managed at 35 cm. The LI pre-grazing targets played a central role in defining the compensatory mechanisms responsible for the competitive ability of the plants, which were primarily expressed in the variation of the proportion of basal and aerial tillers in the tiller population and interfered with the components of herbage accumulation and total herbage yield of the swards.

Engineered remediation technologies such as denitrifying bioreactors target single contaminants along a nutrient transfer continuum. However, mixed contaminant discharges to a water body are more common from agricultural systems. Indeed, evidence presented herein indicates that pollution swapping within denitrifying bioreactor systems adds to such deleterious discharges. The present paper proposes a more holistic approach to contaminant remediation on farms, moving from the use of ‘denitrifying bioreactors’ to the concept of a ‘permeable reactive interceptor’ (PRI). Besides management changes, a PRI should contain additional remediation cells for specific contaminants in the form of solutes, particles or gases. Balance equations and case studies representing different geographic areas are presented and used to create weighting factors. Results showed that national legislation with respect to water and gaseous emissions will inform the eventual PRI design. As it will be expensive to monitor a system continuously in a holistic manner, it is suggested that developments in the field of molecular microbial ecology are essential to provide further insight in terms of element dynamics and the environmental controls on biotransformation and retention processes within PRIs. In turn, microbial and molecular fingerprinting could be used as an in-situ cost-effective tool to assess nutrient and gas balances during the operational phases of a PRI.

A combined farm systems and processing sector model was used to determine the effect on industry profitability of changing from the current seasonal milk supply profile to a less seasonal milk supply profile. Differences in investment costs, product portfolio, product storage and financing costs at processor level were included in the analysis. It was found, based on the underlying model assumptions, that a less seasonal supply profile allowed better capacity utilization, enabled higher volumes of high-value products to be produced and generated higher net returns (€1540·7 million) for the processing sector than the seasonal milk supply profile (€1474·9 million); it therefore warranted paying a higher milk price to farmers. In contrast, at farm level the seasonal milk supply profile resulted in lower costs and higher net farm profit, with net margin per litre being 1·6 cents per litre higher relative to the less seasonal milk supply profile. Higher concentrate, labour, silage, machinery hire and heifer replacement costs in the less seasonal supply profile relative to the seasonal milk supply profile were the main factors that contributed to the lower farm profitability. From a national perspective, including processor and farm sector interests, the seasonal milk supply profile was more profitable by an estimated €83 million; the difference in costs at farm level outweighed the increased milk price at processor level found in the less seasonal milk supply profile.

Changes of sucrose metabolism in the subtending leaf to cotton (Gossypium hirsutum L.) boll at different fruiting branch nodes (FBN) were investigated. Two cotton cultivars, Kemian 1 and Sumian 15, were grown in the field at three planting dates in 2009 and 2011. Cotton planted on different dates but experiencing similar climatic factors flowered on the same date and had similar boll opening dates, but had different FBN. In the present study, boll weight and carbohydrate content were significantly affected by both flowering date (FD) and FBN. However, only cystolic fructose-1,6-bisphosphatase (cy-FBPase) and sucrose-phosphate synthase (SPS) activities of the sucrose-metabolizing enzymes were influenced significantly by FBN, and the influence of FBN was lower with delayed FD. In general, effects of FBN on boll weight and sucrose metabolism in the subtending leaf were higher at the optimal FD (13 August) than those at later FD (9 September 2009 and 2 September 2011), and total fruiting branches were used to characterize cotton physiological age in the current study. Sucrose transport capacity (Tn) and SPS in the subtending leaf had significantly positive correlations with boll weight at 17–24 days post anthesis (DPA), a crucial period when boll weight was significantly affected. In addition, higher SPS activity was favourable for sucrose export and boll weight during boll development.

The root and shoot characteristics of triticale grown in either a monoculture sequence of winter triticale (WT) and spring triticale or in rotation with sugar beet and faba bean (Norfolk rotation) were studied. Grain yield, root and shoot biomass as well as root morphometric parameters, were determined in a long-term field trial carried out in Poland. Spring triticale had lower root biomass and shorter root length than WT as observed at a soil depth of 5–20 cm and was related to the 0·1–0·5 mm root diameter fraction. Grain yields were affected by both crop rotation (Norfolk>monoculture) and the type of triticale grown (winter>spring). Straw yield was lower for the Norfolk rotation (7·16 t/ha) than for monoculture (8·47 t/ha). Consequently, the harvest index (HI) was higher in the Norfolk rotation (0·421 v. 0·324). In conclusion, when grown in monoculture, triticale showed lower biomass production and HI compared with triticale grown in a rotation with other non-cereal crops. These differences could be caused not only by deterioration in the physical, biological and/or chemical properties of the soil resulting from the use of a monoculture rotation, but also by the beneficial effects of the organic amendments applied and the legumes grown in the Norfolk rotation.