This Slideshare covers the description about DUS characterization. parameters of DUS testing, criteria of DUS Testing in tetraploid cotton or American cotton
GPB 311: RICE-Centre of origin, distribution of species, wild relatives and major breeding objectives and procedures for development of varieties and hybrids for improvement yield, adoptability, stability, biotic and abiotic stress tolerance and quality of Rice crop.
Selfing and crossing techniques in crop plants and Breeders KitRajendragouda Patil
Studying about, Selfing and crossing techniques in crop plants and Breeders Kit,helps to students and researchers to select appropriate techniques for selfing and crossing in different crops.
The Presentation is prepared by N.S Institution of science, Markapur.
It consists of a basic introduction related to hybrid seed production related to rice.
GPB 311: RICE-Centre of origin, distribution of species, wild relatives and major breeding objectives and procedures for development of varieties and hybrids for improvement yield, adoptability, stability, biotic and abiotic stress tolerance and quality of Rice crop.
Selfing and crossing techniques in crop plants and Breeders KitRajendragouda Patil
Studying about, Selfing and crossing techniques in crop plants and Breeders Kit,helps to students and researchers to select appropriate techniques for selfing and crossing in different crops.
The Presentation is prepared by N.S Institution of science, Markapur.
It consists of a basic introduction related to hybrid seed production related to rice.
Methods of varietal identification in crops .This ppt includes a summed up details of all the types of varietal identification methods used in identifying crop
Varietal identificaton through grow-out test and ElectrophoresisNSStudents
The Presentation is prepared by the N.S Institution of science, Markapur.
It consists of a basic introduction related to Varietal identificaton through grow-out test and Electrophoresis.
As, seed is an key aspect for farmers and grower or producers, thus supply of quality seed and maintenance of seed standards became a matter of core importance. And seed testing in this sector plays a major role in describes procedures intended to characterize the physiological, genetic, and physical attributes of seed and enable informed decisions during research and development, seed production, and along supply chains and trade.
Here is an presentation elaborating about the seed quality testing and parameter involved.
Variability in seed testing results, factors affecting the variability, application and use of tolerance tables and seed standards and Sequential sampling
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...ICRISAT
The Global Planning Meeting 2019 focused on implementation plans for modernisation of ICRISAT crop improvement and to review and enhance the existing crop breeding programs, discuss modernization of crop improvement, and strategize how to harness new tools to maximize genetic gains. Innovation systems research was also discussed in detail to ascertain how all the different disciplines in crop improvement, innovation systems and other global and regional programs can work together to contribute to ICRISAT’s mission.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
2. DUS TESTING
• DEFINATION-
• A test done before a protection is granted in respect to a new
variety based on article 7 of the UPOV ( International union
for the protection of new varieties of plants ) Convention.
• The variety must be ;
• Distinct
• Uniform
• Stable
• Novel
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3. NEED OF DUS TESTING
1. TO GENERATE BASIC DESCRIPTION OF THE
CANDIDATE VARIETY USING RELEVANT
CHARACTERISTICS .
2. TO COMPARE THE CANDIDATE VARIETY WITH THE
REFERENCE OR EXAMPLE VARIETY.
3. TO DIFFERENTIATE THE CANDIDATE VARIETY
FROM THE VARIETIES OF COMMON KNOWLEDGE.
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4. REQUIREMENTS OF DUS TESTING
• Before performing the DUS test there should be;
1. Subjects of the guidelines
2. Plant materials required for testing
3. Methods of examination
4. Analysis of distinctness, uniformity ,and stability
5. Grouping of varieties
6. Table of characteristics
7. Explanation of the characters
8. Literature and other references
9. Technical questionnaire
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5. UPLAND COTTON
COMMON NAME = UPLAND COTTON
BOTANICAL NAME = Gossypium hirsutum L.
2n = 52 ( tetraploid )
FAMILY = MALVACEAE
GENOME = AADD
OFTEN CROSS POLLINATED CROP
Upland cotton is the most commonly planted agricultural
cotton and provides 90% of the worlds need .
The new world tetraploid cotton species are allopolyploids,
which originated by hybridization between old and new world
diploid species.
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9. DUS TESTING
• SUBJECT-
These test guidelines shall apply to all varieties of tetraploid
cotton.
• MATERIAL REQUIRED –
The minimum quantity of the seed to be provided by the
applicant shall be 2000g in case of candidate or hybrid variety
and for parental line of hybrid 1000g is required.
The seeds submitted shall have at least 75% germination, 98%
physical purity and the highest genetic purity.
• CONDUCT OF TEST
The minimum duration of DUS test shall normally be at least two
independent similar growing season.
9
10. TEST PLOT DESIGN
• NUMBER OF ROWS – 12
• ROW LENGTH – 6m
• ROW TO ROW DISTANCE – 90cm
• PLANT TO PLANT DISTANCE – 60cm
• EXPECTED PLANTS/REPLICATION - 120
• NUMBER OF PLANTS/HILL – ONE
• NUMBER OF REPLICATION – 3
• Observation should not be recorded on plants in
border rows.
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11. METHODS AND OBSERVATION
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1. The characteristics described in the table of characteristics (table 1) shall
be used for the testing of varieties, parental lines and hybrids for their
DUS.
2. For the analysis of Distinctness and stability, observations shall be made
on 30 plants or parts of 30 parts, which shall be equally divided among 3
replications (10 plants/replication).
3. For the assessment of Uniformity of characteristics on the plot as a whole
, a population standard of 0.5% with an acceptance probability of at least
95% shall be obtained. In case of a sample size of 300 plants , the number
of off types should not exceed 6.
4. All leaf characters shall be observed on the fourth fully expanded leaf
from the top of the main stem at 50% flowering stage.
5. All observations on the flower shall be made on the first day of flowering
and at anthesis.
12. 6. Observations on the boll shall be made at full maturity and before boll
bursting.
7. For the assessment of colour characteristics , the latest Royal Horticultural
Society colour chart shall be used.
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13. GROUPING OF VARIETIES
The following characteristics are proposed to be used
for grouping of cotton varieties.
Species
Leaf : shape (characteristics 8)
Flower : petal colour (characteristic 15)
Flower : pollen colour ( characteristics 19)
Boll : shape (longitudinal section) ( characteristic 23)
Fibre : length ( characteristic 33)
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15. • Type of assessment of characteristics indicated in
table 1 is as follows;
• MG : Measurement by a single observation of a
group of plants or parts of plants.
• MS : Measurement of a number of individual plants
or parts of plants.
• VG : Visual assessment by a single observation of a
group of plants or parts of plants.
• VS : Visual assessment by observation of individual
plant or parts of plants.
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