Identification of two novel poleroviruses and the occurrence of Tobacco bushy top disease causal agents in natural plants

Tobacco bushy top disease (TBTD) is a devastating tobacco disease in the southwestern region of China. TBTD in the Yunnan Province is often caused by co-infections of several plant viruses: tobacco bushy top virus (TBTV), tobacco vein distorting virus (TVDV), tobacco bushy top virus satellite RNA (TBTVsatRNA) and tobacco vein distorting virus-associated RNA (TVDVaRNA). Through this study, two new poleroviruses were identified in two TBTD symptomatic tobacco plants and these two novel viruses are tentatively named as tobacco polerovirus 1 (TPV1) and tobacco polerovirus 2 (TPV2), respectively. Analyses of 244 tobacco samples collected from tobacco fields in the Yunnan Province through RT-PCR showed that a total of 80 samples were infected with TPV1 and/or TPV2, and the infection rates of TPV1 and TPV2 were 8.61% and 29.51%, respectively. Thirty-three TPV1 and/or TPV2-infected tobacco samples were selected for further test for TBTV, TVDV, TBTVsatRNA and TVDVaRNA infections. The results showed that many TPV1 and/or TPV2-infected plants were also infected with two or more other assayed viruses. In this study, we also surveyed TBTV, TVDV, TBTVsatRNA and TVDVaRNA infections in a total of 1713 leaf samples collected from field plants belonging to 29 plant species in 13 plant families and from 11 provinces/autonomous regions in China. TVDV had the highest infection rates of 37.5%, while TVDVaRNA, TBTV and TBTVsatRNA were found to be at 23.0%, 12.4% and 8.1%, respectively. In addition, TVDV, TBTV, TBTVsatRNA and TVDVaRNA were firstly detected of co-infection on 10 plants such as broad bean, pea, oilseed rape, pumpkin, tomato, crofton weed etc., and 1 to 4 of the TBTD causal agents were present in the samples collected from Guizhou, Hainan, Henan, Liaoning, Inner mongolia and Tibet autonomous regions. The results indicated that TBTD causal agents are expanding its host range and posing a risk to other crop in the field.

Mobile expert for Tobacco Disease Identification Using The Fuzzy Inference System Tsukamoto

Madura Island is a producer of aromatics tobacco known as Madura Tobacco. One type of Madura tobacco that has superior quality is tobacco Campalok. This tobacco is only in the village of Bakeong Guluk-Guluk district of Sumenep. Its price for each kilogram can penetrate up to two million rupiahs. But failing to harvest due to illness or pests can decrease the quality and price of tobacco Campalok, while the access to consult the agricultural experts in Sumenep district is far enough so the public difficulty getting information faster on tobacco disease treatment. This is the underlying research on the expert system for the identification of diseases in the Android-based tobacco crop.This Expert System was developed by utilizing Android-based mobile technology using the Fuzzy Inference System Tsukamoto method. Farmers who will use this application only enter the characteristics of tobacco leaves that are exposed to pests then the expert system will provide a way of overcoming the pest disease based on the expertise of agricultural experts in Sumenep district Using the Fuzzy method. The result of this research showed that 8 from 10 of diseases were successfully detected by the application so that the accuracy of this application compared to the human expert system is 80 %.

Research on the model for tobacco disease prevention and control based on case-based reasoning and knowledge graph

Tobacco is one of the most important economic crops in China. The yield and quality of tobacco reduce severely because of long-time disease invasion. Currently, the main focus of researches on tobacco disease prevention and control is the diagnosis of disease that has occurred, which ignores to predict disease before it outbreaks. Therefore, in this paper, we follow the idea that prediction is used before disease prevention and control and study the model for tobacco disease prevention and control by using knowledge graph and case-based reasoning (CBR). In order to implement the model, we choose tobacco mosaic virus (TMV) as research object and follow the following methods to prevent occurrence of that. At first, a method to predicting environmental factors by using principal component analysis (PCA) and support vector machine (SVM) is proposed. According to the prediction result, knowledge graph and CBR are used to retrieve the most similarity case and finally determine the best solution. Experimental results demonstrate that our model can achieve high accuracy and give the most appropriate scheme for disease prevention and control.

The Impacts of Different Green Manure on Soil Microbial Communities and Crop Health

Green manure could improve soil nutrients and crop production, playing a significant role in sustainable agriculture. However, the impacts of green manure on crop health and the roles soil microbial communities play in the process haven’t been clarified clearly yet. In this study, we investigated soil microbial community composition and structure in four tobacco farmlands, which were treated with different green manure (control, ryegrass, pea and rape), using 16S rRNA gene amplicons sequencing. Results showed that green manure had significant impacts on soil properties, microbial communities and tobacco health. First, soil total C, N and Ca content increased significantly in groups treated with green manure than control. Second, soil community diversity was significantly higher in groups treated with green manure. Third, green manure especially ryegrass, decreased tobacco disease (bacterial wilt) rate dramatically, and the process might be mediated by soil microbial communities. On the one hand, several microbial populations were found to be potentially disease inducible or suppressive. For example, the abundances of Dokdonella and Rhodanobacter were positively correlated to tobacco disease rate, while Acidobacteira_Gp4 and Gp6 had negative correlations with tobacco disease. On the other hand, soil microbial communities were shaped by soil properties (e.g., pH, C and N content). In conclusion, our research showed that green manure could increase soil nutrients directly, and further improve tobacco health mediated by soil microorganisms, which may shed light on revealing interactions among soil properties, microorganisms and plants.

Effect of a Chromosome Segment Marked by the Php Gene for Resistance to Phytophthora nicotianae on Reproduction of Tobacco Cyst Nematodes

Host resistance is an important strategy for managing Globodera tabacum subsp. solanacearum and G. tabacum subsp. tabacum, important nematode pests of flue-cured tobacco (Nicotiana tabacum) in Virginia, and cigar wrapper tobacco (N. tabacum) in Connecticut and Massachusetts, respectively. Field research from 1992 to 2005 evaluated reproduction of G. tabacum subsp. solanacearum on genotypes with and without a chromosome segment from N. plumbaginifolia containing a gene (Php) that conferred resistance to race 0 of Phytophthora nicotianae (causal agent of tobacco black shank). Ratios of G. tabacum subsp. solanacearum eggs/500 cm3 soil at the end versus the beginning of experiments (Pf/Pi) were significantly lower in cultivars and breeding lines possessing the Php-containing chromosome segment from N. plumbaginifolia compared with genotypes without the segment. Numbers of vermiform G. tabacum subsp. solanacearum juveniles in roots were similar among genotypes but numbers of swollen and pyriform nematodes were significantly lower for the known G. tabacum subsp. solanacearum resistant cv. NC 567 and in genotypes possessing the Php gene compared with genotypes and cultivars without the gene. In a 2003 greenhouse test, the percentage of plants with visible G. tabacum subsp. tabacum cysts was also significantly lower for parental and progeny genotypes homozygous and heterozygous, respectively, for Php compared with similar lines without the gene. These results indicate a close linkage or association between a likely single, dominant gene (Php) for resistance to P. nicotianae and suppressed reproduction by G. tabacum subsp. solanacearum and G. tabacum subsp. tabacum. Further research to accurately elucidate the relationships among these genes could lead to significant improvements in tobacco disease control.