Epidemiology, Virulence Diversity and Host-Plant Resistance in Blast [Magnaporthe grisea (Hebert) Barr.] of Finger Millet [Eleusine coracana (L.) Gaertn.]

Studies were conducted on blast disease of finger millet that included cultural, morphological, pathological and molecular diversity, epidemiology and identification of host-plant resistance at International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India and field trials were conducted at ICRISAT; ARS, Vizianagaram; RARS, Nandyal; ZARS, Mandya and OFRS, Naganahalli. A total of 125 blast disease specimens from finger millet, 6 from foxtail millet, 3 from rice and 5 from pearl millet were collected from major crop growing areas of India during 2008-2010. From these samples, a total of 70 monoconidial isolates of Magnaporthe grisea, 56 from finger millet, 6 from foxtail millet, 3 from rice and 5 from pearl millet were obtained. Of the 70 isolates, 15 each were from Patancheru and Vizianagaram, 13 from Nandyal, 14 from Mandya, 8 from Naganahalli and one each from Dholi, Aurangabad, Hissar, Jaipur and Solan...

An Image Indexing and Region based on Color and Texture

From the previous decade, the enormous rise of the internet has tremendously maximized the amount image databases obtainable. This image gathering such as art works, satellite and medicine is fascinating ever more customers in numerous application domains. The work on image retrieval primarily focuses on efficient and effective relevant images from huge and varied image gatherings which is further becoming more fascinating and exciting. In this paper, the author suggested an effective approach for approximating large-scale retrieval of images through indexing. This approach primarily depends on the visual content of the image segment where the segments are obtained through fuzzy segmentation and are demonstrated through high-frequency sub-band wavelets. Furthermore, owing to the complexity in monitoring large scale information and exponential growth of the processing time, approximate nearest neighbor algorithm is employed to enhance the retrieval speed. Thus, a locality-sensitive hashing using (K-NN Algorithm) is adopted for region-aided indexing technique. Particularly, as the performance of K-NN Approach hinges essentially on the hash function segregating the space, a novel function was uncovered motivated using E8 lattice which could efficiently be amalgamated with multiple probes K-NN Approach and query-adaptive K- NN Approach. To validate the adopted hypothetical selections and to enlighten the efficiency of the suggested approach, a group of experimental results associated to the region-based image retrieval is carried out on the COREL data samples

Molecular Identification of Microbes: I. Macrophomina Phaseolina

This chapter will help us in the isolation of Macrophomina phaseolina from soil and infected plants and examination of morphological and physiological features for identification by using microscopic and cultural characters. In the later part, we will learn recent research findings to identify this fungus using PCR-based molecular techniques

IDENTIFYING FOR NODE COLLAPSE IN MWN’S USING A PROBABILISTIC APPROACH

Extensive resemblance leads to both related and disordered systems show our purpose achieves tall failure acknowledgment rates and occasional dishonest positive ratio and acquire low news overhead. The ready appropinquate can proceed in a lot of meshwork-distant traffic, incompatible using the restricted fountain in excitable wireless systems. Our approach has got the advantage that it's relevant to both connected and abrupt systems. When simile with other approaches which use localized monitoring, our approach has similar failure notice cost, fall conference overhead and far lower perfidious positive cost. Additionally, an ear has got the advantage that it's relieving to both united and off systems while centralized monitoring is true germane to connected systems. Within an intramural feeling where Gps navigation doesn't work, a node may utility intramural localization techniques. Different location devices and methods have different amounts of error in placing measurements. The failure probability depends upon the node itself along with the atmosphere. Our access only generates localized monitoring bargain and it is relevant to both adjunct and desultory systems many localization techniques occur to be coded in the learning. In the finish, we make a superior enclose of non-performance recognition rate using our advances

Process for the preparation of 3-(aminomethyl)-4,6-dimethylpyridin-2(1H)-one hydrochloride

Abstract: Process for the preparation of 3-(aminomethyl)-4,6-dimethylpyridin-2(1H)-one hydrochloride of formula-1, which is represented by the following structural formula: which is key intermediate for the preparation of Tazemetostat hydrobromide, which is chemically known as [1,1’-Biphenyl]-3-carboxamide, N-[(1,2-dihydro-4,6-dimethyl-2-oxo-3-pyridinyl)methyl]-5[ethyl(tetrahydro-2H-pyran-4-yl)amino]-4-methyl-4’-(4-morpholinyl methyl)-, hydrobromide (1:1)

Blockchain-Enabled On-Path Caching for Efficient and Reliable Content Delivery in Information-Centric Networks

As the demand for online content continues to grow, traditional Content Distribution Networks (CDNs) are facing significant challenges in terms of scalability and performance. Information-Centric Networking (ICN) is a promising new approach to content delivery that aims to address these issues by placing content at the center of the network architecture. One of the key features of ICNs is on-path caching, which allows content to be cached at intermediate routers along the path from the source to the destination. On-path caching in ICNs still faces some challenges, such as the scalability of the cache and the management of cache consistency. To address these challenges, this paper proposes several alternative caching schemes that can be integrated into ICNs using blockchain technology. These schemes include Bloom filters, content-based routing, and hybrid caching, which combine the advantages of off-path and on-path cachings. The proposed blockchain-enabled on-path caching mechanism ensures the integrity and authenticity of cached content, and smart contracts automate the caching process and incentivize caching nodes. To evaluate the performance of these caching alternatives, the authors conduct experiments using real-world datasets. The results show that on-path caching can significantly reduce network congestion and improve content delivery efficiency. The Bloom filter caching scheme achieved a cache hit rate of over 90% while reducing the cache size by up to 80% compared to traditional caching. The content-based routing scheme also achieved high cache hit rates while maintaining low latency

Identification and multi-environment validation of resistance to Fusarium oxysporum f. sp. ciceris in chickpea

Chickpea wilt incited by Fusarium oxysporum f. sp. ciceris is one of the most important constraints to chickpea production worldwide and best managed through host plant resistance. The aim of this work was to find new sources of resistance to wilt disease and validate their stability across different environments. One-hundred and twenty three lines with wilt incidence <10% were selected from preliminary evaluation of 948 lines including germplasm and breeding lines from the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) for wilt resistance in the sick plot during 2003/2004 crop season at ICRISAT, Patancheru, India. Sixty lines were selected for second round of evaluation (2005/2006) and from those 57 lines were selected for third round of evaluation (2006/2007). In order to validate resistance stability, a Chickpea Wilt Nursery was constituted with 27 lines (7 germplasm accessions, 19 breeding lines and a highly susceptible check) and further tested in multi-location experiment for wilt resistance at 9 locations in India for three years (2007/2008–2009/2010). Variability in wilt incidence due to genetic differences among the genotypes, among the environments, and that due to genotype × environment interaction was highly significant (P < 0.001). Although complete resistance across the locations was not found, the genotype and genotype × environment (GGE) biplot analyses allowed the selection of three breeding lines (ICCV 05527, ICCV 05528 and ICCV 96818) and one germplasm accession (ICC 11322) with moderate level of disease resistance and stable performance across the environments. Genotype × environment (G × E) interaction contributed 36.7% of total variation of the multi-environment evaluation, revealing instability of the phenotypic expression across environments. The identified resistant sources should be useful to chickpea disease resistance breeding programs

Identification of blast resistance in a core collection of foxtail millet germplasm

Blast, also known as leaf spot, caused by Pyricularia grisea [teleomorph: Magnaporthe grisea], is a serious disease affecting both forage and grain production in foxtail millet in India. For the identification of new and diverse sources of blast resistance, a foxtail millet core collection comprising 155 accessions was evaluated against Patancheru isolate (Fx 57) of M. grisea. In a field screen during 2009 and 2010, 21 accessions were identified with neck and head blast resistance against Fx 57. In a greenhouse screen, 11 of the 155 accessions exhibited seedling leaf blast resistance to the same isolate. Further evaluation of the selected 28 accessions (found resistant to neck and head blast under field conditions during 2009 and 2010, and/or leaf blast in the greenhouse screen) against four M. grisea isolates Fx 57, Fx 58, Fx 60 and Fx 62 from Patancheru, Nandyal, Vizianagaram and Mandya, respectively, led to the identification of 16 accessions with leaf, sheath, neck and head blast resistance to at least one isolate. Two accessions (ISe 1181 and ISe 1547) were free from head blast infection and showed resistance to leaf (score ≤3.0 on a 1-to-9 scale), neck and sheath blast (score ≤2.0 on a 1-to-5 scale) against all the four isolates. In addition, ISe 1067 and ISe 1575 also exhibited high levels of blast resistance. Blast-resistant accessions with superior agronomic and nutritional quality traits can be evaluated in multilocation yield trials before releasing them for cultivation to farmers

Development of a Field Screening Technique and Identification of Blast Resistance in Finger Millet Core Collection

Effective management of blast disease in finger millet can best be achieved through host-plant resistance. In this study, field screening technique was developed and core collection evaluated to identify sources of resistance to blast. The field screening technique involved: use of systematic susceptible checks after every four test rows, artificial spray inoculation at pre-flowering stage with an aqueous conidial suspension (1×105 spores ml−1) of Magnaporthe grisea fm strain multiplied on oatmeal agar medium at 27±1ºC for 10 days, and maintaining high humidity and leaf wetness through sprinkler irrigation twice a day for 4 weeks following inoculation. Neck blast was recorded on a 1–5 scale and finger blast as severity percentage on all the tillers of selected 10 plants in a row at physiological maturity. The finger millet core collection consisting of 622 accessions was evaluated for neck and finger blast resistance. Among the core collection, 402 accessions were found resistant to neck blast, 436 to finger blast and 372 had combined resistance to both the diseases. Blast resistant accessions belonged to one wild and four cultivated races of finger millet that originated from 19 countries indicating the wide geographical diversity among resistant accessions. Most of the accessions from Asian origin were susceptible to neck and finger blasts while, those from African origin were resistant. A significant strong positive correlation (r = 0.85, P<0.0001) was found between neck blast and finger blast ratings. Core collection accessions with stable resistance to blast would be useful for finger millet breeding programs

Resistance to blast (Magnaporthe grisea) in a mini-core collection of finger millet germplasm

Blast caused by Pyricularia grisea [teleomorph: Magnaporthe grisea] is an economically important and widespread disease of finger millet in the world. Host resistance is the most economical and effective means of combating this disease as finger millet is predominantly grown by resource-poor and marginal farmers. At the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), we evaluated a finger millet mini-core collection of 80 germplasm accessions (about 1 % of the total germplasm collection representing major trait variability) for blast resistance both in the field and greenhouse. Field evaluation was done using a refined screening technique that included new improved rating scales for leaf, neck and finger infection. Sixty six of the 80 accessions showed combined resistance to leaf, neck and finger blast in two seasons (2009 and 2010) of field screening. A highly significant and positive correlation was found between neck and finger blast ratings (r = 0.92), whereas small but significant correlations were found between leaf blast and neck blast (r = 0.25) and between leaf blast and finger blast (r = 0.30). These accessions were also screened for leaf blast resistance in the greenhouse by artificial inoculation of seedlings to confirm field observations. Fifty-eight of the 80 accessions were resistant to leaf blast in the greenhouse screen as well. These resistant accessions represented one wild (africana) and four cultivated races (vulgaris, plana, elongate and compacta) of finger millet that originated from 13 countries in Asia and Africa and exhibited considerable diversity for agronomic traits, such as maturity period, plant height and panicle type. These blast resistant accessions from the mini-core collection would be useful in finger millet disease resistance breeding programs