Application of chelated minerals in hydroponics

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Michal Slota

Seminar: Application of chelates in hydroponics (principles, techniques, sources of minerals, field trials)

Science

(Marschner's Mineral Nutrition of Higher Plants, 2012)

Study on lettuce - chelated Zn
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RESEARCH TRIALS

Study on tomato - chelated Fe
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RESEARCH TRIALS

Presentation with recommended smartphone applications that may prove helpful for smart agriculture practices. Available mobile applications could facilitate the following aspects of agricultural practice: -> Pest & disease symptoms recognition -> Identification of weeds, diseases and pests -> Phenotyping of leaf & canopy surface -> Assessment of leaf damages -> Measurements of fruit size -> Estimation of the coverage area of pesticide spraying -> Identification of nutrient deficiencies -> Calculating fertilizer mixture -> Estimation of evapotranspiration (PET) -> Measuring the perimeter and calculate the area of a field

Role of Ca & K for fruit protection

Michal Slota

Effects of Manganese supplementation on reproductive performance in cows

Michal Slota

Improvement of natural plant response to environmental stresses

Michal Slota

Role of Silicon (Si) & humic acids in crop nutrition

Michal Slota

Mineral nutrition (fertilizing) program for POTATO

Michal Slota

This document provides fertilization recommendations for various macroelements like nitrogen, phosphorus, and potassium for different crop types like beetroot, cereals, corn, hops, potatoes, tobacco, and rapeseed in several regions including Europe, South Africa, and India. It lists the recommended amounts of macroelements for each crop type in different production areas based on soil analyses and yield goals.

The document describes a flood-and-drain based hydroponics system for root phenotyping. The system uses acrylic tubes filled with glass beads as the rooting substrate and an automated watering system to flood and drain the tubes on a set schedule. It measures various root system parameters such as length, surface area, diameter and architecture. The system is inexpensive at 7150 PLN to analyze 48 plants simultaneously and takes approximately 14 days to complete an experiment, providing a low-cost, high-throughput method for root phenotyping.

Plant phenotyping systems

Michal Slota

Organic minerals supplementation in poultry

Michal Slota

Plant phenotyping platforms

Michal Slota

This document discusses high-throughput plant phenotyping methods and challenges. It describes how phenotyping involves automated image acquisition, robotics, and bioinformatics to analyze traits like growth, development, architecture, and responses to stresses. Several platforms are highlighted that can phenotype thousands of plants using controlled environments, greenhouses, or fields. Standardization of methods and data reporting are important for reproducibility between experiments. Overall, the document provides an overview of modern plant phenotyping approaches and technologies.

Genetic basis and evolution of heavy metal tolerance in plants

Michal Slota

The document discusses extremophile plants that thrive in harsh environmental conditions. It provides examples of extremophile plants such as Arabidopsis halleri, which can hyperaccumulate heavy metals, and Thellungiella parvula, which is adapted to extreme salt and freezing conditions. The document also discusses how extremophile plants have developed genetic adaptations to stress conditions through mechanisms such as protective barriers, stress proteins, and metabolic adjustments. Extremophile plants provide insights into stress tolerance mechanisms and have applications in biotechnology due to novel enzymes they produce.

Metal tolerance evolution_ms

Michal Slota

This document discusses heavy metal tolerance in plants. It provides information on nickel hyperaccumulators like Sebertia acuminata that can contain 2.5% nickel in its leaves. It also mentions Arabidopsis arenosa, an annual herb that shows tolerance to zinc, lead and cadmium. The document covers topics like the definition and characteristics of heavy metals, their toxicity mechanisms in plants, and the various tolerance strategies plants have evolved, including avoidance, tolerance, sequestration and hyperaccumulation.

Blueberry - fertilizing recommendations

Michal Slota

Al toxicity screening m-slota_Vienna2016

Michal Slota

ARKOP_Biostumulants

Michal Slota

AminoStymulanit & AminoSelenit were developed to boost crop growth and development and supplement animal & human diet with bio-accesible SELENIUM. An innovative formula of AminoSelenit due to the synergistic action of amino-acids and selenium is intended to efficiently and safely enrich animal feedstaff with Se, by fertilizing the feed crops. Both biostimulants demonstrated excellent effects in stimulating crop growth, during independent field studies on maize, apple & strawberry as well as pepper cultivated in greenhouse conditions

Phenomics assisted breeding in crop improvement

IshaGoswami9

As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus, high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology, and analysis methods, numerous infrastructure platforms have been developed for phenotyping.

SAR of Medicinal Chemistry 1st by dk.pdf

KrushnaDarade1

Eukaryotic Transcription Presentation.pptx

RitabrataSarkar3

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kejapriya1

Micronuclei test.M.sc.zoology.fisheries.

Aditi Bajpai

Compexometric titration/Chelatorphy titration/chelating titration

Vandana Devesh Sharma

Classification Metal ion ion indicators Masking and demasking reagents Estimation of Magnisium sulphate Calcium gluconate Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types- 1.Direct Titration 2.Back Titration 3.Replacement Titration 4.Indirect Titration Masking agent, Demasking agents formation of complex comparition between masking and demasking agents, Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators, Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators Instrumental Techniques-Photometry Potentiometry Miscellaneous methods. Complex titration with EDTA.

The binding of cosmological structures by massless topological defects

Sérgio Sacani

Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is mitigated, at least in part.

Equivariant neural networks and representation theory

Daniel Tubbenhauer

Or: Beyond linear. Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory. Disclaimer: No one is perfect, so please mind that there might be mistakes and typos. dtubbenhauer@gmail.com Corrected slides: dtubbenhauer.com/talks.html

20240520 Planning a Circuit Simulator in JavaScript.pptx

Sharon Liu

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Phenomics assisted breeding in crop improvement

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Vandana Devesh Sharma

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Sérgio Sacani

Equivariant neural networks and representation theory

Daniel Tubbenhauer

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Sharon Liu

Applied Science: Thermodynamics, Laws & Methodology.pdf

University of Hertfordshire

When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best. Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level. Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.

Topic: SICKLE CELL DISEASE IN CHILDREN-3.pdf

TinyAnderson

Deep Software Variability and Frictionless Reproducibility

University of Rennes, INSA Rennes, Inria/IRISA, CNRS

The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions. Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability. Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields. I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating). I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems. Exposé invité Journées Nationales du GDR GPL 2024

Authoring a personal GPT for your research and practice: How we created the Q...

Leonel Morgado

Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.

The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx

MAGOTI ERNEST

Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024). Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).

The debris of the ‘last major merger’ is dynamically young

Sérgio Sacani

The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the ‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space, because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago. We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data 1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’ did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within the last few Gyr, consistent with the body of work surrounding the VRM.

THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...

Abdul Wali Khan University Mardan,kP,Pakistan

hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills

Oedema_types_causes_pathophysiology.pptx

muralinath2

aziz sancar nobel prize winner: from mardin to nobel

İsa Badur

3D Hybrid PIC simulation of the plasma expansion (ISSS-14)

David Osipyan

waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf

LengamoLAppostilic