“Advances in breeding of mango ”
Advances breeding of Mango, breeding of mango, mutation breeding og mango ,breeding of mango by gangaram rana ppt , breeding of mango in igkv
The pineapple is a tropical and subtropical fruit .
Pineapple (Ananas comosus) is one of the commercially important fruit crops of India.
Total annual world production is estimated at 14.6 MT of fruits.
India is the fifth largest producer of pineapple with an annual output of about 1.2 MT.
common throughout the Bromeliaceae but Ananus is typically diploid (2n=2X=50)while pseudananas is tetraploid (2n=4X=100).Some triplod genotype with 2n=3x=75(e.g. Cayenne BR59,Spanish GU75-2 and DOS indios BR47)have also reported to exist.
Other leading producers are Thailand, Philippines, Brazil, China, Nigeria, Mexico, Indonesia, Colombia and USA.Cultivation of pineapple originated in Brazil.
“Advances in breeding of mango ”
Advances breeding of Mango, breeding of mango, mutation breeding og mango ,breeding of mango by gangaram rana ppt , breeding of mango in igkv
The pineapple is a tropical and subtropical fruit .
Pineapple (Ananas comosus) is one of the commercially important fruit crops of India.
Total annual world production is estimated at 14.6 MT of fruits.
India is the fifth largest producer of pineapple with an annual output of about 1.2 MT.
common throughout the Bromeliaceae but Ananus is typically diploid (2n=2X=50)while pseudananas is tetraploid (2n=4X=100).Some triplod genotype with 2n=3x=75(e.g. Cayenne BR59,Spanish GU75-2 and DOS indios BR47)have also reported to exist.
Other leading producers are Thailand, Philippines, Brazil, China, Nigeria, Mexico, Indonesia, Colombia and USA.Cultivation of pineapple originated in Brazil.
“Advances in breeding of grapes ”
Advances breeding of Grape, breeding of grape, mutation breeding of grape, biotechnology breeding of grape ppt, breeding of grape by gangaram rana, Advances breeding of Grape in igkv ,
There is a huge demand for Mango worldwide. Hence, exporting to other countries we earn foreign currency. And, especially in Bangladesh, the suitable climate and soil condition is a positive sign of Mango cultivation. With the help of cut-edged technology here is a possibility of increased production.
“Advances in breeding of guava ”
Advances breeding of Guava, breeding of guava by gangaram rana, breeding of guava in igkv, cultivation of guava, new technology of guava breeding, poly ploide breeding of guava, mutation breeding of guava
Since litchi originated in China and it has been under cultivation there for more than 2200 years, more than 200 litchi varieties exist in China.
The variation in climatic factors, sometimes leads to greater fluctuation in yield of a litchi orchard.
Therefore, a right variety should be selected for plantation at a particular area though, all the litchi varieties have a wide range of adaptability; yield, fruit quality and acceptability may be region or location specific.
“Advances in breeding of grapes ”
Advances breeding of Grape, breeding of grape, mutation breeding of grape, biotechnology breeding of grape ppt, breeding of grape by gangaram rana, Advances breeding of Grape in igkv ,
There is a huge demand for Mango worldwide. Hence, exporting to other countries we earn foreign currency. And, especially in Bangladesh, the suitable climate and soil condition is a positive sign of Mango cultivation. With the help of cut-edged technology here is a possibility of increased production.
“Advances in breeding of guava ”
Advances breeding of Guava, breeding of guava by gangaram rana, breeding of guava in igkv, cultivation of guava, new technology of guava breeding, poly ploide breeding of guava, mutation breeding of guava
Since litchi originated in China and it has been under cultivation there for more than 2200 years, more than 200 litchi varieties exist in China.
The variation in climatic factors, sometimes leads to greater fluctuation in yield of a litchi orchard.
Therefore, a right variety should be selected for plantation at a particular area though, all the litchi varieties have a wide range of adaptability; yield, fruit quality and acceptability may be region or location specific.
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.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
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The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
2. •Botanical name: Punica granatum L.
•Family: Punicaceae
•Chromosome number : 2n = 2x =18
•Origin: Iran
3. • Centre of diversity
• Pomegranate is native of Iran and cultivated
extensively in the Mediterranean countries like
Spain, Morocco, Egypt, Iran, Afghanistan and
Baluchistan.
• It is also grown to some extent in Burma, China,
Japan, USA, USSR and India.
4. • Germplasm resources
• Being cross pollinated crop, a lot of variability exists
in seedling populations, which can be utilized in
further improvement programme.
• At present 150 genotypes of pomegranate have
been maintained at Central Institute of Arid
Horticulture, Bikaner.
• Out of these genotypes, 55 are deciduous and rest
95 are of evergreen in nature.
• Field gene banks of pomegranate are maintained at
Abohar, Rahuri, Bikaner, Bangalore, Allahabad,
Jodhpur and Ludhiana.
5. • Objectives
• To develop suitable types which produce small soft
seeds with attractive red (pink) aril.
• To develop easily manageable upright growth habit of
the tree.
• To develop thornlessness in the twigs, a desirable
character as it helps in cultural management of the
tree.
• To develop varieties resistant to fruit borer (Virachola
isocrates) and fruit rot (Phomopsis sp.)
• To develop varieties free from fruit cracking, aril
blackening.
• Identification and development of suitable varieties for
cold arid region.
• Varieties with longer steerage life.
6. • Breeding methods and achievements
• Some important cultivars including soft seeded ,
dark red grained types, viz. Wonderful from the
USA.
• A.Males, Be Hastah, A Alah, A Agha, Mohammed
Ali, A Post Sephid Sirin from Iran.
• Ranninj G-1-8-23, Rannyij G-1-3-34, Chereny,
Gulsha Red, JG-1-8-7 from USSR and few cultivars
from Tunisia have been introduced.
• At Hisar, cultivar Shirin Anar and Russian Seedling
were found resistant to bacterial leaf spot.
• A pomegranate line of Iranian origin has been
identified at Rahuri which has dark pink arils, soft
seeds and high TSS.
7. Selection:
• On the basis of yield and physico-chemical
characters of fruits, number of cultivars have been
recommended for commercial cultivation in
different states of India,viz.
• Ganesh, G-137,P-23,P-26 and Muscat in
Maharashtra,
• Bassein Seedless, Jyothi and Madhugiri in
Karnataka, Dholka in Gujarat,
• Jalore Seedless, Jodhpur Red , and Jodhpuri White
in Rajasthan and
• Kabul Red, Vellodu, Yercaud 1, and Co-1 in
TamilNadu.
8. • Clonal Selection
• G-137 is a superior clonal selection over Ganesh,
other clones are also superior i.e.G-107,G-132,G-
133.
• Hybridization
• In order to incorporate blood red color of Russian
types into Ganesh, several crosses were made at
Rahuri in 1976.
• seven had deep red aril color but the seeds were
hard and inferior in taste than Ganesh.
• A promising line from the F2 population (No.61)
combining desirable quality attributes has been
released by the name Mridula (Ganesh x Gulsha
Rose Pink).