Priority selection of agro-meteorological parameters for integrated plant diseases management through analytical hierarchy process

To understand the influence of agro-meteorological parameters to take decisions related to various factors in an integrated plant disease management, it becomes vital to carry out scientific studies on the factors affecting it. The different agro-meteorological parameters namely temperature, humidity, moisture, rain, phenological week, cropping season, soil type, location, precipitation, heat index, and cloud coverage have been considered for this study. Each parameter has been allocated the ranking by using a technique called analytical hierarchical process (AHP). The parameter priorities are determined by calculating the Eigenvalues. This helps to make decisions related to integrated plant disease management where the prediction of plant disease occurrence, yield prediction, irrigation requirements, and fertilization recommendations can be taken. To take these decisions which parameters are good indicators can be identified using this method. The parameters majorly contribute to plant diseases and pest management decision making while delivers minor contribution in irrigation and fertilizer management related decision making. The manual results are compared with software generated results which indicates that both the results correlate with each other. Therefore, AHP technique can be successfully implemented for prioritizing agro-meteorological parameters for integrated plant diseases management as the results for both levels are consistent (consistency ratio < 0.1).

Biocontrol Potential and Catabolic Profile of Endophytic Diaporthe eres Strain 1420S from Prunus domestica L. in Poland—A Preliminary Study

Recently, Diaporthe has been considered the most frequently isolated genera of endophytic fungi, having a broad spectrum of host plants and a worldwide distribution. The endophytic Diaporthe strain used in the present work came from the Fungal Collection of Phytopathology and Mycology Subdepartment, University of Life Sciences in Lublin (Poland), and was isolated from healthy Prunus domestica shoots during previous studies. Due to the possibility of using the Diaporthe endophytes as a promising option for plant disease management, the main goal of the research was to study the antagonistic effect of endophytic Diaporthe strain against six phytopathogens: Verticillium dahliae, Botrytis cinerea, Fusarium avenaceum, F. sprotrichioides, Alternaria alternata, and Trichothecium roseum based on the dual culture assay and to determine the catabolic profile of the endophyte by using Biolog FF Plates. The dual-culture test assay revealed the ability of the endophytic Diaporthe to limit the growth of all tested pathogens. The growth inhibition percentage ranged from 20% (V. dahliae) to 40% (T. roseum). A distinct zone of inhibition occurred between the endophytic Diaporthe and the pathogens T. roseum, V. dahliae, and B. cinerea in the co-growth combinations. As for the catabolic profile results, the most intensive utilization of carbon substrates was observed after 168 h of incubation. The growth of the analyzed strain was observed on 79 media containing carbohydrates, carboxylic acids, amino acids, amines and amides, polymers, and others. The most effective decomposition was observed in the polymers group, the least in amines and amides. Molecular identification indicated that this strain was closely related to the Diaporthe eres species complex.

Combined assembly of long and short sequencing reads improve the efficiency of exploring the soil metagenome

Background Advances in DNA sequencing technologies have transformed our capacity to perform life science research, decipher the dynamics of complex soil microbial communities and exploit them for plant disease management. However, soil is a complex conglomerate, which makes functional metagenomics studies very challenging. Results Metagenomes were assembled by long-read (PacBio, PB), short-read (Illumina, IL), and mixture of PB and IL (PI) sequencing of soil DNA samples were compared. Ortholog analyses and functional annotation revealed that the PI approach significantly increased the contig length of the metagenomic sequences compared to IL and enlarged the gene pool compared to PB. The PI approach also offered comparable or higher species abundance than either PB or IL alone, and showed significant advantages for studying natural product biosynthetic genes in the soil microbiomes. Conclusion Our results provide an effective strategy for combining long and short-read DNA sequencing data to explore and distill the maximum information out of soil metagenomics.