Crop residue management is a year-round process that aims to maintain sufficient crop residue cover. It influences all field operations and the amount, orientation, and distribution of residue. Conservation tillage systems like no-till, mulch-till and ridge-till leave over 30% residue cover after planting by disturbing only strips or the top of ridges during planting. Maintaining residue cover reduces erosion and improves soil quality. No-till provides environmental benefits due to mulch cover but soil improvement takes years of continuous use along with other practices like crop rotations and cover crops.
Conservation tillage, Practices used in Conservation Tillagescience book
This is presentation on topic of Conservation Tillage, it gives You information about conservation tillage, types of conservation tillage, Practices used in conservation tillage. It enhanced Your knowledge about conservation tillage.
Soil survey is the study and mapping of soils in their natural environment.
It is to enables, more numerous, more accurate, more useful prediction of soil for specific purpose
It is starting point of all soil research. .
A soil is composed primarily of minerals which are produced from parent material that is weathered or broken into small pieces. Like the classification systems for plants and animals, the soil classification system contains several levels of details, from the most general to the most specific types. The most general level of classification system is the soil order, of which there are 12 major types. This module explains these classes.
Conservation tillage, Practices used in Conservation Tillagescience book
This is presentation on topic of Conservation Tillage, it gives You information about conservation tillage, types of conservation tillage, Practices used in conservation tillage. It enhanced Your knowledge about conservation tillage.
Soil survey is the study and mapping of soils in their natural environment.
It is to enables, more numerous, more accurate, more useful prediction of soil for specific purpose
It is starting point of all soil research. .
A soil is composed primarily of minerals which are produced from parent material that is weathered or broken into small pieces. Like the classification systems for plants and animals, the soil classification system contains several levels of details, from the most general to the most specific types. The most general level of classification system is the soil order, of which there are 12 major types. This module explains these classes.
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
For More Visit - www.civilengineeringadda.com
Irrigation Efficiency
Water conveyance Efficiency
It takes into account, conveyance or transit losses such as seepage through canal and evaporation through it.
η_c=W_f/W_r ×100
Where, Wf = water delivered to the field
Wr = water delivered from river or stream
Water Application Efficiency
It is the ratio of water stored in root zone to the water delivered to the field.
η_a=W_s/W_f ×100
Where, WS = water weight stored in root zone
WS = Wf – deep percolation – runoff
Wf = water delivered to the field
This efficiency is also called as farm efficiency and it depends on the irrigation technique that has been adopted.
Water use efficiency
It is the ratio of water used beneficially or consumptively to the water delivered to the field.
η_u=W_u/W_f ×100
Where, Wf = water delivered to the field
WU = consumptively used water
Water Storage Efficiency
This is the ratio of actual water stored in the root zone to the water needed to be stored to bring the moisture content upto field capacity.
Water Distribution efficiency
This evaluate the degree to which water is uniformly distributed to the root zone throughout the field area.
η_d=(1-y/d)×100
Where, d = average depth
y = Average numerical deviation in the depth of water stored from the average depth stored during irrigation
Question – the depths of penetration along the length of a border strip at points 30 m apart were proved. There observed values are 2 m, 1.9 m, 1.8 m, 1.6 m and 1.5 m. Compute the water distribution efficiency.
Solution –
Water distribution efficiency,
η_d=(1-y/d)×100
Where, d = average depth
d = (2+1.9+1.8+1.6+1.5)/5=1.76
And y = average numerical deviation
y = 1/5((2-1.76)+(1.9-1.76)+(1.8-1.76)+(1.76-1.6)+(1.76-1.5)=0.168
Therefore,
η_d=(1-0.168/1.76)×100
η_d=90.45%
Consumptive Use Efficiency
It is the ratio of water used consumptively to the net amount of water from the root zone.
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
For More Visit - www.civilengineeringadda.com
Irrigation Efficiency
Water conveyance Efficiency
It takes into account, conveyance or transit losses such as seepage through canal and evaporation through it.
η_c=W_f/W_r ×100
Where, Wf = water delivered to the field
Wr = water delivered from river or stream
Water Application Efficiency
It is the ratio of water stored in root zone to the water delivered to the field.
η_a=W_s/W_f ×100
Where, WS = water weight stored in root zone
WS = Wf – deep percolation – runoff
Wf = water delivered to the field
This efficiency is also called as farm efficiency and it depends on the irrigation technique that has been adopted.
Water use efficiency
It is the ratio of water used beneficially or consumptively to the water delivered to the field.
η_u=W_u/W_f ×100
Where, Wf = water delivered to the field
WU = consumptively used water
Water Storage Efficiency
This is the ratio of actual water stored in the root zone to the water needed to be stored to bring the moisture content upto field capacity.
Water Distribution efficiency
This evaluate the degree to which water is uniformly distributed to the root zone throughout the field area.
η_d=(1-y/d)×100
Where, d = average depth
y = Average numerical deviation in the depth of water stored from the average depth stored during irrigation
Question – the depths of penetration along the length of a border strip at points 30 m apart were proved. There observed values are 2 m, 1.9 m, 1.8 m, 1.6 m and 1.5 m. Compute the water distribution efficiency.
Solution –
Water distribution efficiency,
η_d=(1-y/d)×100
Where, d = average depth
d = (2+1.9+1.8+1.6+1.5)/5=1.76
And y = average numerical deviation
y = 1/5((2-1.76)+(1.9-1.76)+(1.8-1.76)+(1.76-1.6)+(1.76-1.5)=0.168
Therefore,
η_d=(1-0.168/1.76)×100
η_d=90.45%
Consumptive Use Efficiency
It is the ratio of water used consumptively to the net amount of water from the root zone.
Why Healthcare Brands Need Digital Strategies Now More Than EverPeter Figueredo
Presentation from The 2016 Healthcare IT & PR Marketing Conference in Atlanta.
In this presentation, Peter will discuss why there has recently been a shift in which healthcare brands have started putting a higher value and need on digital marketing. This has not always been the case but is shifting to become a key priority for healthcare brand execs, and digital marketers should look to healthcare brands as vital sources of work, revenue, and purpose. An article that further discusses this point can be found here at Ad Age.Peter will touch on:
Why is this shift taking place now?How is this shift benefitting digital marketers?Why do healthcare brands need to jump at the opportunity to take advantage of digital marketing now, and how can they begin to implement solid strategies for their brands? Where do they find the resources to do this?What can healthcare marketing professionals do to ensure they are creating a solid strategy for their healthcare brand?What does a solid digital marketing strategy look like for a healthcare brand? How does it differ from other industry brand’s strategies?Why should digital marketing professionals and CMOs embrace this shift and how can it improve the digital marketing space as a whole? What opportunities will this bring digital marketing professionals?
Var är bekämpningsmedel används?
BEKÄMPNINGSKRETSLOPP , KLASSIFICERING AV BEKÄMPNINGSMEDEL VERKNINGSSÄTT AV BEKÄMPNINGSMEDEL MEKANISM VAD TYCKER DU OM ANVÄNDNING AV KEMISKA BEKÄMPNINGSMEDEL BEKÄMPNINGSKRETSLOPP
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 .
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.
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.
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.
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.
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.
3. Crop Residue Management
1. Crop Residue Management (CRM) is a year-round process
that begins with the selection of crops that produce
sufficient quantities of residue and may also include the
use of cover crops after low residue producing crops.
2. CRM will influence all field operations that affect residue
amounts, orientation, and distribution throughout the
period requiring protection.
3. Residue cover amounts are usually expressed in
percentage but may also be expressed in pounds.
4. CRM is an “umbrella” term encompassing several tillage
systems including no-till, ridge-till, mulch-till, and
reduced-till.
4. Conservation tillage
1. Conservation tillage is a generic term that includes
many varied tillage systems that leave more than 30%
crop residue cover after planting.
2. Conservation tillage can include no-till, minimum
tillage systems, zone tillage, strip tillage, and ridge
tillage, as long as these systems leave more than the
required residue cover after planting.
3. The residue limit of 30% was established as a result of
the relationship between residue cover and inter-rill
erosion (Figure 6.9), because an increase from 0 to
30% residue cover results in a 70% reduction of inter-
rill soil loss.
5. Tillage system
• Definitions The following definitions were adapted from those given
by the Conservation
1. Technology Information Center (2005): • No-till/strip-till (>30%
residue):
2. − Soil is left undisturbed from harvest to planting except for strips
up to 1/3 of the row width. These strips may involve only residue
disturbance or may include soil disturbance.
3. − Planting or drilling is accomplished using disc openers, coulters,
row cleaners, in-row chisels or roto-tillers.
4. − Weed control is accomplished primarily with herbicides.
Cultivation may be used for emergency weed control.
5. − Other common terms used to describe no-till include direct
seeding, slot planting, zero-till, row-till, and slot-till.
6. Ridge-till (>30% residue):
1) − The soil is left undisturbed from harvest to
planting except for strips up to 1/3 of the row
width.
2) − Planting is completed on the ridge with
sweeps, disk openers, coulters, or row cleaners,
and usually involves the removal of the top of
the ridge.
3) − Residue is left on the surface between ridges.
4) − Weed control is accomplished with herbicides
(frequently banded) or cultivation.
5) − Ridges are rebuilt during row cultivation.
7. Mulch-till (>30% residue):
− Full-width tillage involving one or more
tillage trips which disturb the entire soil
surface. Tillage tools such as chisels, field
cultivators, disks, sweeps, or blades are used.
− Done prior to and/or during planting.
− Weed control is accomplished with
herbicides or cultivation.
8. Reduced-till (15-30% residue):
− Full-width tillage involving one or more tillage
trips which disturb the entire soil surface.
− Done prior to planting. There is 15-30% residue
cover after planting or 500 to 1,000 pounds per
acre of small grain residue equivalent throughout
the critical wind erosion period.
− Weed control is accomplished with herbicides
or row cultivation
9. Conventional-till or intensive-till (<30%
residue):
− Full width tillage which disturbs the entire
soil surface and is performed prior to and/or
during planting. There is less than 15% residue
cover after planting, or less than 500 pounds
per acre of small grain residue equivalent
throughout the critical wind erosion period.
− Generally involves plowing or intensive
(numerous) tillage trips.
10. Stale seedbed:
1. − Not an official tillage category.
2. − Fields are tilled full-width soon after
harvest. The seedbed “settles” until planting
is performed in the undisturbed (settled)
seedbed or in re-formed beds (minimum
disturbance).
3. − Weeds and/or cover crops are controlled
with herbicides or row cultivation.
11. No-tillage In recent years there has been an increasing
realization of the negative aspects
• of soil tillage:
1. • takes time
2. • costs money (fuel, equipment, maintenance)
3. • increases erosion
4. • reduces organic matter content
5. • destroys soil tilth
6. • promotes soil crusting
7. • increases runoff
8. • increases evaporation losses
9. • reduces biological activity (e.g. earthworms)
10. • brings rocks to surface
12. As the adoption of no-till increases, we continue to learn more
about it. There
is now an increasing realization that:
•
No-till without or with little mulch is not a sustainable
practice. Almost all environmental benefits of no-
tillage are due to the mulch cover at the soil surface.
Soil improvement with no-till takes years. Continuous
no-till is recommended because rotating tillage and no-
till destroys the soil-building benefits of no-till.
No-till affects many other aspects of crop production
(nutrient, weed and pest dynamics; residue
distribution) that need to be integrated into a systems
approach. Crop rotations and cover crops are central to
this systems approach.
13. Cover crops Cover crops can provide many benefits,
including:
• erosion control
• organic matter increase
• soil structure improvement
• atmospheric nitrogen fixation
• nitrate recapture
• soil water management
• weed control
14. Brassica cover crops such as radish and
mustards are receiving increased
attention because of their taproots, which can
create large pore spaces in the
subsoil. These pores can later be occupied by
summer crop roots. Brassica
species also have allelopathic properties that
can help with weed control.