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Aims This research was to study the capacity of Trichoderma harzianum strain SQR-T037 to colonize tomato roots and how this strain and its bio-organic fertilizer stimulate plant growth and increase yields under field conditions. Methods Field trials were conducted with a reduced application of chemical fertilizer (75 % of the recommended application) plus Trichoderma-enriched bioorganic fertilizer (BF) or organic fertilizer (OF) or Trichoderma spore suspension (SS), while 100 % of the recommended chemical fertilizer (CF) was used as control.Results Trichoderma SQR-T037 could efficiently colonize tomato roots and soils based on the reverse transcription-quantitative PCR analysis, and significantly stimulate biomass accumulation at an early stage. The 75 % rates of chemical fertilizer coupled with bioorganic fertilizer (BF) produced tomato yields equivalent to those obtained using the 100 % rates of chemical fertilizer (CF), while inoculation with the Trichoderma alone (SS) or supplement with organic fertilizer alone (OF) would cause 11 and 13 % decreases in yield over the control (CF). The efficacy of BF for maintaining a stable tomato yield may be due to the enhanced soil nutrients availability and the increased abundance of soil microflora, including bacteria, fungi, actinomycetes and Trichoderma communities, which had a positive linear correlation in most of the cases revealed by the Pearson correlation analysis. Plant SoilConclusions The results of this study imply that the reason by which the bio-organic fertilizer promotes plant growth and increases the tomato yields can be attributed to the enhancement of the rhizospheric microflora, which promotes nutrient activation. Therefore, T. harzianum could be employed in a combination with composts. In this way, the application rate of chemical fertilizers can be practically decreased by 25 % to obtain maximum benefits.

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Polycyclic aromatic hydrocarbons (PAHs) are a major class of environmental pollutants mainly arising from anthropogenic activities. In this paper, the behavior and the distribution patterns of sixteen PAHs, listed as priority pollutants by the United States Environmental Protection Agency, were evaluated in 119 soil samples collected in different areas of Campania region in the southern Italy. The observation of the geochemical distribution patterns showed that both high and low molecular weight PAHs are mostly concentrated within the metropolitan area of Naples, the Agro Aversano area, and, partly, the Sarno River basin. In accordance with the Italian environmental law (D. Lgs. 152/2006), these areas should be considered potentially contaminated and not suitable for a residential use unless an environmental risk analysis does not demonstrate their safety. As a consequence, a preliminary quantitative risk assessment enhanced by the use of GIS was run revealing the existence of an incremental lifetime cancer risk higher than 1 × 10(-5) for the city of Naples and for some other populous areas.

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The Plant Genome W heat (Triticum aestivum L.) which originated in the Fertile Crescent has been domesticated for some 10,000 yr (Lev-Yadun et al., 2000). Currently, wheat is one of the most widely planted crops, supplying approximately 30% of the human population. Although wheat is mainly grown on rainfed land, approximately 37% of the cropping area in developing countries consists of semiarid environments, where drought imposes a primary constraint on wheat production (Qayyum et al., 2011; Sadok, 2017; Sinclair, 2011). As the climate continues to change, drought is predicted to become more severe and more widely distributed, and thus will probably further limit crop growth and reduce yields (

A logistic model was employed to correlate the outbreak of highly pathogenic avian influenza (HPAI) with related environmental factors and the migration of birds. Based on MODIS data of the normalized difference vegetation index, environmental factors were considered in generating a probability map with the aid of logistic regression. A Bayesian maximum entropy model was employed to explore the spatial and temporal correlations of HPAI incidence. The results show that proximity to water bodies and national highways was statistically relevant to the occurrence of HPAI. Migratory birds, mainly waterfowl, were important infection sources in HPAI transmission. In addition, the HPAI outbreaks had high spatiotemporal autocorrelation. This epidemic spatial range fluctuated 45 km owing to different distribution patterns of cities and water bodies. Furthermore, two outbreaks were likely to occur with a period of 22 d. The potential risk of occurrence of HPAI in Mainland China for the period from January 23 to February 17, 2004 was simulated based on these findings, providing a useful meta-model framework for the application of environmental factors in the prediction of HPAI risk.highly pathogenic avian influenza, meta-modeling, remote sensing, geographical information system, Bayesian maximum entropy, logistic regression, spatiotemporal autocorrelation Citation:Cao C X, Xu M, Chang C Y, et al. Risk analysis for the highly pathogenic avian influenza in Mainland China using meta-modeling.