describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
Soil water conservation methods in agricultureVaishali Sharma
This presentation includes introduction as well as all the methods in agriculture either engineering or agronomic measures used in conservation of soil and water against erosion or other deteriorative factors.
Soil water movement
Soil water movement
Soil water movement
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describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
Soil water conservation methods in agricultureVaishali Sharma
This presentation includes introduction as well as all the methods in agriculture either engineering or agronomic measures used in conservation of soil and water against erosion or other deteriorative factors.
Soil water movement
Soil water movement
Soil water movement
Soil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movementSoil water movement
Tillage is the mechanical manipulation of soil with tools and implements for obtaining conditions ideal for seed germination, seedling establishment and growth of crops.
Management Practices for Improving Water Use Efficiency.pptxanju bala
Water use efficiency
Production (of crops) per unit of water applied.
Expressed in kg/ha-mm.
Two distinct terms are used in expressing water use efficiency:
Crop water use efficiency: It is the ratio of crop yield (Y) to the amount of water depleted by the crop in the process of evapotranspiration (ET).
Crop WUE = Y/ET
Field water use efficiency: It is the ratio of crop yield (Y) to the total amount of water used in the field (WR), which include ET, deep percolation and that used in plant metabolic processes.
Field WUE = Y/WR
Universal soil loss equation, soil loss estimation, factors of USLE, its use and limitation, soil loss measurement by multi slot divisor and coshocton wheel sampler
Introduction
enlist of problematic soil
Salt affected soil
Characteristic of salt affected soil
Comparison between salt affected soil
Reclamation of Saline soils
Reclamation of sodic soils
Reclamation of saline-sodic soils
Acidic soils
Reclamation of acidic soil
Acid Sulphate soils and its management
Calcareous soil
IN this presentation cover Erosivity and erodibilty
Different methods to calculate soil loss.
Er. Gurpreet Singh
M.tech from PAU, Ludhiana
Assistant Prof.
Khalsa college.
Tillage is the mechanical manipulation of soil with tools and implements for obtaining conditions ideal for seed germination, seedling establishment and growth of crops.
Management Practices for Improving Water Use Efficiency.pptxanju bala
Water use efficiency
Production (of crops) per unit of water applied.
Expressed in kg/ha-mm.
Two distinct terms are used in expressing water use efficiency:
Crop water use efficiency: It is the ratio of crop yield (Y) to the amount of water depleted by the crop in the process of evapotranspiration (ET).
Crop WUE = Y/ET
Field water use efficiency: It is the ratio of crop yield (Y) to the total amount of water used in the field (WR), which include ET, deep percolation and that used in plant metabolic processes.
Field WUE = Y/WR
Universal soil loss equation, soil loss estimation, factors of USLE, its use and limitation, soil loss measurement by multi slot divisor and coshocton wheel sampler
Introduction
enlist of problematic soil
Salt affected soil
Characteristic of salt affected soil
Comparison between salt affected soil
Reclamation of Saline soils
Reclamation of sodic soils
Reclamation of saline-sodic soils
Acidic soils
Reclamation of acidic soil
Acid Sulphate soils and its management
Calcareous soil
IN this presentation cover Erosivity and erodibilty
Different methods to calculate soil loss.
Er. Gurpreet Singh
M.tech from PAU, Ludhiana
Assistant Prof.
Khalsa college.
Water management is important. This ppt will help to know some knowledge concerning water saving and harvesting in agriculture. Water harvesting technology is important, in many areas of the world, especially in arid and semi-arid regions. By reading this ppt, you will clearly understand how to save water in agriculture and what is water harvesting.
Ways to address moisture stress under dryland conditionsmuskanporwal6
Water has been inherently a scarce resource in the semi arid tropics. Agriculture has been the major user of this constantly limiting resource. The basic and foremost constraint of drylands is the uneven distribution of rains. Erratic rainfall results in widely fluctuating production, leading to production deficit and causing land degradation through soil erosion and reduced groundwater recharge. And the effect being crop failures. There are various approaches to deal with the moisture stress in drylands. Water harvesting, agronomic approaches for in-situ moisture conservation, conservation agriculture and measures for efficient utilization of the stored moisture through genetic approaches, selection of suitable crops and varieties and different planting methods etc.Thus with the collaboration with appropriate government policies and institutional support and development of various drought resistance varieties the and associated measures the moisture stress in dryland areas can be minimized effectively and efficiently.
this ppt clearly explains the user on the mitigations to be take/ followed for preventing the drought disaster and I DEDICATE THIS TO DISASTER MANAGEMENT CONTROL FOR PREVENTING DROUGHT
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Richard's aventures in two entangled wonderlandsRichard 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.
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.
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.
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.
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.
Comparative structure of adrenal gland in vertebrates
Irrigation Scheduling and approaches
1.
2. For Agronomists
It is very much important to get higher yield per unit
quantity of water in normal situations and to protect the
crop to get as much as possible yield under drought
situation by means on supplying water in optimum ratio
and minimizing all field losses.
3. Irrigation scheduling is defined as frequency with which water is to be
applied based on needs of the crop and nature of the soil.
Irrigation scheduling is nothing but number of irrigations and their
frequency required to meet the crop water requirement.
Irrigation scheduling may be defined as scientific management
techniques of allocating irrigation water based on the individual crop
water requirement (ETc) under different soil and climatic condition, with
an aim to achieve maximum crop production per unit of water applied
over a unit area in unit time.
4. Based on the above definition, the concept made is.
“If we provide irrigation facility the agricultural production and
productivity will go up automatically”
Irrigation scheduling is a decision making process repeated many times
in each year involving when to irrigate and how much of water to apply?
Both criteria influence the quantity and quality of the crop. It indicates
how much of irrigation water to be used and how often it has to be given.
5. Effect of application of right amount and
excess amount of water
Excess irrigation is harmful because
a) It wastes water below root zone.
b) It results in loss of fertilizer nutrients.
c) It causes water stagnation and salinity.
d) It causes poor aeration.
e) Ultimately it damages the crops.
However, Irrigation scheduling has its own meaning and importance
according to the nature of the work.
6. Importance of irrigation scheduling
How much and how often water has to be given depends on the irrigation
requirement of the crop.
Irrigation requirement (IR) = Crop water requirement (CWR) – Effective
rainfall (ERF) It can be expressed either in mm/day/ or mm/month
If the crop water requirement of a particular crop is 6 mm per day,
it means every day we have to give 6 mm of water to the crop. Practically
it is not possible since it is time consuming and laborious. Hence, it is
necessary to schedule the water supply by means of some time intervals
and quantity. For example the water requirement of 6 mm/ day can be
scheduled as 24 mm/for every 4 days or 30 mm/for every 5 days or 36
mm/for every 6 days depending upon the soil type and climatic
conditions prevailing in that particular place. While doing so we must be
very cautions that the interval should not allow the crop to suffer for want
of water.
7. Practical considerations in irrigation
scheduling
1. Crop factors
2. Water delivery system
3. Types of soil
4. Salinity hazard
5. Irrigation methods
6. Irrigation interval
7. Minimum spreadable depth
8. 1. Crop factors
a) Sensitiveness to water shortage
b) Critical stages of the crop
c) Rooting depth
d) Economic value of the crop
2. Water delivery system
a) Canal irrigation or tank irrigation (It is a public distribution system
where
scheduling is arranged based on the decision made by public based on the
resource availability).
b) Well irrigation (individual decision is final)
3. Types of soil
a) Sandy – needs short frequency of irrigation and less quantity of water.
b) Clay – needs long frequency of irrigation and more quantity of water.
9. 4. Salinity hazard
To maintain favorable salt balance, excess water application may be
required rather than ET requirement of the crop to leach the excess salt
through deep percolation
5. Irrigation methods
a) Basin method allows more infiltration through more wetting surface
which in turn needs more water and long interval in irrigation frequency
b) Furrow method allows less infiltration due to less wetting surface which
needs less water and short interval in irrigation frequency.
c) Sprinkler method needs less water and more frequency
d) Drip method needs less water and more frequency
6. Irrigation interval
The extension of irrigation interval does not always save water. The interval
has to be optimized based on the agroclimatic situation.
10. 7. Minimum spreadable depth
We cannot reduce the depth based on the water requirement of the crop
alone. The depth should be fixed based on the soil type, rooting nature of
the crop and irrigation method followed. The minimum depth should be
so as to achieve uniformity of application and to get uniform distribution
over the entire field.
11. Theoretical approaches of irrigation
scheduling
I. Direct approach
II. Indirect or predictive approach
III. Mathematical approach
IV. System as a whole approach
12. I. Direct approach
A) Depth interval and yield approach
In this method, different depths of irrigation water at different
time intervals fixed arbitrarily are tried without considering the soil and
weather characters.
The irrigation treatment which gives the maximum yield with
minimum depth and extended interval is chosen as the best irrigation
schedule. Earlier workers have adopted this practice to work out the duty
of water for different crops in many irrigation projects. It is the rough
irrigation schedule. Hence may irrigation projects which have adopted this
practice have failed to achieve the full efficiency?
Disadvantages
Rainfall is not taken into account
Ground water contribution is not taken into account
Soil parameters are not taken for calculating irrigation requirement and
hence this approach is not in use.
13. B) Soil moisture deficit and optimum moisture regime
approach
This approach considers soil moisture content in the root zone of the crop
for fixing the schedule. When the soil moisture reaches a pre fixed value,
may be 40% of Available Soil Moisture (ASM) or 50% ASM or 60% ASM,
irrigation is given. The degree of depletion is measured through
percentage of availability by using gravimetric, tensiometer, resistance
block, neutron probe, etc.
Disadvantages
Soil moisture alone is taken into account
Hence it cannot be taken for all type of soil in particular region
It varies from soil to soil
C) Sensitive crop approach
The crops which are grown for their fresh leaves or fruits are more
sensitive to water shortage than the crops which are grown for their dry
seeds or fruits.
14. D) Plant observation method
Normally in field condition farmers use to adopt this practice for
scheduling irrigation. The day to day changes in plant physical character
like colour of the plant, erect nature of plant leaves, wilting symptoms,
etc., are closely and carefully observed on the whole and not for
individual plant and then time of irrigation is fixed according to the crop
symptoms. It needs more skill and experience about the crop as well as
local circumstances like field condition, the rainy days of that tract etc.,
Disadvantage
• No accuracy in finding the crop water need
• Sometimes sensitive symptoms are evident only after reaching almost
the wilting point. So yield loss will occur.
I. Indicator plant technique.
II. Micro plot technique or indicator plot tech.nique
15. i) Indicator plant technique
As we have seen already some crops like sunflower, tomato are highly
sensitive to water stress which will show stress symptom earlier than other
stress tolerating crops. Hence, to know the stress symptoms earlier such
sensitive crops are planted in random in the field and based on the stress
symptoms noticed in such plants, scheduling of irrigation can be made.
This technique is called indicator plant technique.
ii) Micro plot technique or indicator plot technique
In this method a one cubic foot micro plot is made of with coarse textured
soil to have more infiltration less water holding capacity and more
evaporation than the actual main field. Normally the field soil is mixed
with sand in 1:2 ratio and filled in the micro plots made in the field. The
seed of the same crop and variety is grown in micro plot with all similar
cultural practices as that of the main crop. The crops in micro plot show
early stress symptoms than that of main field. Based on this scheduling of
irrigation can be made.
16. II. Predictive approach of indirect approach
A) Critical stage or phonological stage approach
The growth period of an annual crop can be divided into four growth
stages
Initial stage : from sowing to 10% ground cover
Crop development stage : 10 to 70% ground cover
Mid season stage : flowering to grain setting stage
Late season stage : ripening and harvesting stage
B) Meteorological approach
The basic principles employed with this approach are estimation of daily
potential evapo-transpiration rates. Hence it requires knowledge on
a) Short term evapo-transpiration rates at various stages of plant
development
b) Soil water retention characteristics
c) Permissible soil water deficit in respect to evaporative demand
d) Effective rooting depth of the crop grown
17. III. Mathematical approach
A) Estimation method approach
It is nothing but scientific prediction mainly based on he climate and soil
type. Calculated crop water need and estimated root depth are taken into
account in this.
a. Soil type
Soil type are classified as follows
Sandy / shallow - Low depth of water and more frequency
Loamy soil - Moderate depth water and less frequency
Clay soil - More depth of water and less frequency
b. Climate
Climates are classified based on reference ET as follows:
Reference ET
4 – 5 mm/day – Low
6 – 7 mm/day – Medium
8 – 9 mm/day – High
18. B) Simple Calculation Method
It is based on the estimated depth of irrigation application and
calculated irrigation need of the crop over growing season. Hence the
influence of climate especially temperature and rainfall is taken for
consideration. Hence, it is more accurate than that of the estimated
method.
19. IV. System as a whole approach
A) Rotational water supply
R.W.S is one of the techniques in irrigation water distribution
management. It aims at equi-distribution of irrigation water irrespective
of location of the land in the command area by enforcing irrigation time
schedules.
Each 10 ha block is divided into 3 to 4 sub units (irrigation groups)
According to the availability of irrigation water, stabilized field channels
and group-wise irrigation requirement, time schedules are evolved. The
irrigation will be done strictly in accordance with the group-wise time
schedules by the block committees. Within the group, the time is to be
shared by the farmers themselves.