Assessment of the genetic diversity among oily spot (Xanthomonas axonopodis pv. punicae) pathogen of pomegranate by randomly amplified polymorphic DNA analysis

Pomegranate (Punica granatum L.) is an important fruit crop of India and other subtropical countries. Bacterial blight caused by Xanthomonas axonopodis pv. Punicae is becoming a major threat in Maharashtra as well as other states of India. It causes yield losses up to the extent of 80 – 90 %. This study aims to the collection of 7 strains (X. axonopodis) and utilized for assessment of genetic diversity by using RAPD markers. Whereas 7 strains of X. axonopodis were differentiated and distinguished into seven major region representing Malegaon, Nampur, Satana, Khakurdi, Ramnagar, Rahuri and Nashik region. However the genetic similarity within 7strains of X. axonopodis was ranged between 72.72-100 %. Similarly the genetic relationship of strains X. axonopodis was also established and showed 72.72 %, 72.72 %, 72.72 % 92.30%, 94.11% and 100 % similarity with region of Malegaon, Nampur, Satana, Khakurdi, Ramnagar, Rahuri and Nashik region. Average polymorphism in strains of X. axanopodis based on RAPD analysis was 84.095 %. The combine data analysis by using UPGMA method also revealed the two distinct groups representing seven strains of X. axonopodis and in first group M1 and second group R4 and subgroup RH6, N2, NS7, S3, K5, these genotypes were present respectively. Considering predominance and economic loss caused by X. axonopodis pv. punicae in pomegranate, it is an essential to undertake preliminary work on characterization of this pathogen at the molecular level

A Novel Hybrid AI Federated ML/DL Models for Classification of Soil Components

The soil is the most fundamental component for the survival of any living thing that can be found on this planet. A little less than 41 percent of Indians are employed in agriculture, which accounts for approximately 19 percent of the country's gross domestic product. As is the case in every other industry, researchers and scientists in this one are exerting a lot of effort to enhance agricultural practices by utilising cutting-edge methods such as machine learning, artificial intelligence, big data, and so on. The findings of the study described in this paper are predicated on the assumption that the method of machine learning results in an improvement in the accuracy of the prediction of soil chemical characteristics. The correlations that were discovered as a result of this research are essential for comprehending the comprehensive approach to predicting the soil attributes using ML/DL models. A number of findings from previous study have been reported and analysed. A state of the art machine learning algorithm, including Logistic Regression, KNN, Support Vector Machine and Random Forest are implemented and compared. Additionally, the innovative Deep Learning Hybrid CNN-RF and VGG-RNN Model for Categorization of Soil Properties is also implemented along with CNN. An investigation into the significance of the selected category for nutritional categorization revealed that a multi-component technique provided the most accurate predictions. Both the CNN-RF and VGG-RNN models that were proposed were successful in classifying the soil with average accuracies of 95.8% and 97.9%, respectively, in the test procedures. A study was carried out in which the CNN-RF model, the VGG-RNN model, and five other machine learning and deep learning models were compared. The suggested VGG-RNN model achieved superior accuracy of classification and real-time durability, respectively

Investigating variations in the dust emissivity index in the andromeda galaxy

Over the past decade, studies of dust in the Andromeda galaxy (M31) have shown radial variations in the dust emissivity index (β). Understanding the astrophysical reasons behind these radial variations may give clues about the chemical composition of dust grains, their physical structure, and the evolution of dust. We use 12CO(J=1-0) observations taken by the Combined Array for Research in Millimeter Astronomy (CARMA) and dust maps derived from Herschel images, both with an angular resolution of 8″ and spatial resolution of 30 pc, to study variations in β across an area of ≈ 18.6 kpc2 in M31. We extract sources, which we identify as molecular clouds, by applying the ASTRODENDRO algorithm to the 12CO and dust maps, which as a byproduct allows us to compare continuum emission from dust and CO emission as alternative ways of finding molecular clouds. We then use these catalogues to investigate whether there is evidence that β is different inside and outside molecular clouds. Our results confirm the radial variations of β seen in previous studies. However, we find little difference between the average β inside molecular clouds compared to outside molecular clouds, in disagreement with models which predict an increase of β in dense environments. Finally, we find some clouds traced by dust with very little CO which may be either clouds dominated by atomic gas or clouds of molecular gas that contain little CO

Induced breeding of threatened Indian medium carp Puntius pulchellus

The reproductive biology of the Indian Medium Carp (Puntius pulchellus) was studied and induced breeding of the fish accomplished. Males were dark and exhibited pinkish red prominent tubercles on the snout in contrast to the plain snouted females which however, had a deep pink lateral band. The gonado somatic index observed in females indicated a prolonged spawning period. The fish was successfully induced bred for the first time using a preparation consisting of Salmon Gonadotropin Releasing Hormone Analogue. and Domperidone (0.5ml/kg body weight) followed by pituitary extract @ of 8mg/kg and 2mg/kg for females and males respectively. The larvae appeared (hatching) after 48 h with a heavily laden yolk sac which was absorbed completely after 8days. The embryonic and larval developments are discussed

The HASHTAG Project: The First Submillimeter Images of the Andromeda Galaxy from the Ground

Observing nearby galaxies with submillimeter telescopes on the ground has two major challenges. First, the brightness is significantly reduced at long submillimeter wavelengths compared to the brightness at the peak of the dust emission. Second, it is necessary to use a high-pass spatial filter to remove atmospheric noise on large angular scales, which has the unwelcome side effect of also removing the galaxy\u27s large-scale structure. We have developed a technique for producing high-resolution submillimeter images of galaxies of large angular size by using the telescope on the ground to determine the small-scale structure (the large Fourier components) and a space telescope (Herschel or Planck) to determine the large-scale structure (the small Fourier components). Using this technique, we are carrying out the HARP and SCUBA-2 High Resolution Terahertz Andromeda Galaxy Survey (HASHTAG), an international Large Program on the James Clerk Maxwell Telescope, with one aim being to produce the first high-fidelity high-resolution submillimeter images of Andromeda. In this paper, we describe the survey, the method we have developed for combining the space-based and ground-based data, and we present the first HASHTAG images of Andromeda at 450 and 850 μm. We also have created a method to predict the CO(J = 3-2) line flux across M31, which contaminates the 850 μm band. We find that while normally the contamination is below our sensitivity limit, it can be significant (up to 28%) in a few of the brightest regions of the 10 kpc ring. We therefore also provide images with the predicted line emission removed

The HASHTAG Project: The First Submillimeter Images of the Andromeda Galaxy from the Ground

Observing nearby galaxies with submillimeter telescopes on the ground has two major challenges. First, the brightness is significantly reduced at long submillimeter wavelengths compared to the brightness at the peak of the dust emission. Second, it is necessary to use a high-pass spatial filter to remove atmospheric noise on large angular scales, which has the unwelcome side effect of also removing the galaxy's large-scale structure. We have developed a technique for producing high-resolution submillimeter images of galaxies of large angular size by using the telescope on the ground to determine the small-scale structure (the large Fourier components) and a space telescope (Herschel or Planck) to determine the large-scale structure (the small Fourier components). Using this technique, we are carrying out the HARP and SCUBA-2 High Resolution Terahertz Andromeda Galaxy Survey (HASHTAG), an international Large Program on the James Clerk Maxwell Telescope, with one aim being to produce the first high-fidelity high-resolution submillimeter images of Andromeda. In this paper, we describe the survey, the method we have developed for combining the space-based and ground-based data, and we present the first HASHTAG images of Andromeda at 450 and 850 μm. We also have created a method to predict the CO(J = 3–2) line flux across M31, which contaminates the 850 μm band. We find that while normally the contamination is below our sensitivity limit, it can be significant (up to 28%) in a few of the brightest regions of the 10 kpc ring. We therefore also provide images with the predicted line emission removed

A New Formulae Method For Solving The Simultaneous Equations

ABSTRACT: Actually there are too many Methods which are used for solving the various types of equations by various methods. The equations may be like linear, quadratic, simultaneous, radial, and exponential as well as the equations with the number of variables. And for the Simultaneous Equation the methods are like Addition, Substitution, Elimination as well as Graphical Method also. We know there are too many methods like Gauss Elimination, Gauss Seidal, and Jacobi used for solving the Simultaneous Equations. But here we are going to introduce a new Method for solving the Simultaneous Equations as well as the comparison between the Methods above told and the new one. The paper will show you a new easy method for solving the Simultaneous Equation and the difference between the methods that are being used in the colleges which are Gauss Elimination, Gauss Seidal etc