Heat units, also known as growing degree days (GDD), are a crucial concept in plant physiology and agricultural science, providing a measure of heat accumulation used to predict plant development rates and stages. This measure is particularly useful in understanding and forecasting the growth phases of plants, such as flowering, fruiting, and maturity, which are temperature-dependent.
Key points on the importance of heat units in plant physiology include:
Predicting Phenological Events: Heat units help predict significant events in a plant’s life cycle, such as germination, flowering, and harvest times. This is vital for farmers and gardeners to optimize planting schedules and manage crop cycles efficiently.
Agricultural Planning: By calculating GDDs, agriculturists can decide the best times for planting, irrigating, applying fertilizers, and controlling pests. This can lead to better crop yields and improved management of resources.
Varietal Selection: Different plant varieties have specific heat unit requirements. Understanding these requirements helps in selecting the right varieties for a particular climatic zone, thus maximizing productivity and sustainability.
Climate Change Adaptation: Monitoring heat units over time can provide insights into shifting climate patterns and help in developing strategies to adapt agricultural practices to changing environmental conditions.
Research and Breeding: In plant breeding, heat unit data can help in developing varieties with desired traits such as drought tolerance or shortened growing periods, which are particularly valuable in regions facing climatic stresses.
How to nail your estimates and act at the right time
When you use inaccurate data, the further you are into the growing season, the greater the estimate will differ from reality. For longer season crops, the difference could be quite significant, which is a problem because plant maturity, flowering, and pest/disease GDD targets often have tight windows.
In this 20-minute webinar, Dr. Colin Campbell discusses what you need to know for more accurate models, so you can be confident in your management decisions.
Genetic progress over the last 10 years has steadily improved broiler economic performance. One component of this is growth potential which has increased each year by 60 grams at six weeks of age. In order to achieve a standard processing weight (of e.g. 2kg), the age at which a flock of broilers are killed has fallen by, on average, 1 day per year over this time. Birds of 2kg that were killed at 49 days in 1988 are now killed at 39 days.
The consequence of this change is that the brooding period now takes up a much bigger proportion of the whole growing period and is more important in the final performance of the flock. Over the same 10 year period, the equipment used in brooding and starting chickens has changed, and some of these changes have significant consequences for the well-being of the day-old chick.
Our customers have become more focussed on the predictability of performance and uniformity of the product at all stages, especially in the processing plant. Many features of broiler management can affect uniformity and, in some cases, small changes in management technique can make a previously unimportant factor critical (e.g. the need for more feeding space once feed intake control is initiated) This Ross Tech is aimed at encouraging better general management and especially brooding management for broiler flocks, to improve performance and uniformity
Parent-offspring conflict: evolutionary biology of tension arising between pa...Brahmesh Reddy B R
Parent-offspring conflict is a concept in evolutionary biology that describes the tension arising between parents and their offspring over the allocation of resources. This conflict was first extensively discussed by Robert Trivers in 1974, building on the principles of evolutionary theory. The theory posits that while parents and their offspring share a substantial amount of genetic material, their genetic interests are not perfectly aligned, leading to conflicts of interest.
Theoretical Basis
The theory is based on the principle that both parents and offspring are driven by natural selection to maximize their own inclusive fitness. However, the ways they can maximize their fitness often conflict, especially over the distribution of resources such as food, care, and shelter.
Parents' Perspective: From a parent's standpoint, the optimal strategy typically involves distributing resources equitably among all current and future offspring to maximize the total number of surviving offspring. This means that a parent may withhold some resources from a current offspring if it increases the survival and reproductive prospects of subsequent offspring.
Offspring's Perspective: Each offspring, however, will benefit from obtaining more resources than the siblings to maximize its own survival and reproductive success. This can lead to a situation where the offspring demands more resources than the parent is willing to allocate.
Manifestations of the Conflict
1. Weaning Conflict: This is one of the most common examples of parent-offspring conflict. Offspring may seek to prolong nursing to gain more nutrients, while the mother may attempt to wean them earlier to conserve resources for future offspring or her own survival.
2. Sibling Rivalry: Sibling rivalry can be seen as an extension of parent-offspring conflict where siblings compete for parental attention and resources. Here, the conflict manifests not directly between parent and offspring but mediated through competition among siblings.
3. Reproductive Conflict: In some species, especially birds, offspring may attempt to manipulate parents into providing more care by feigning hunger or weakness. Parents need to discern genuine signals of need from manipulative ones to distribute care optimally among all offspring.
Evolutionary Consequences
Resource Allocation Strategies: Evolution shapes both parental and offspring strategies for resource allocation. Parents evolve mechanisms to detect and counteract manipulation by offspring, while offspring evolve more sophisticated strategies to extract resources.
Impact on Life History Traits: Parent-offspring conflict can influence key life history traits such as growth rates, age at independence, and reproductive strategy. For example, faster growth can be an adaptive strategy for offspring in response to parental underinvestment.
How to nail your estimates and act at the right time
When you use inaccurate data, the further you are into the growing season, the greater the estimate will differ from reality. For longer season crops, the difference could be quite significant, which is a problem because plant maturity, flowering, and pest/disease GDD targets often have tight windows.
In this 20-minute webinar, Dr. Colin Campbell discusses what you need to know for more accurate models, so you can be confident in your management decisions.
Genetic progress over the last 10 years has steadily improved broiler economic performance. One component of this is growth potential which has increased each year by 60 grams at six weeks of age. In order to achieve a standard processing weight (of e.g. 2kg), the age at which a flock of broilers are killed has fallen by, on average, 1 day per year over this time. Birds of 2kg that were killed at 49 days in 1988 are now killed at 39 days.
The consequence of this change is that the brooding period now takes up a much bigger proportion of the whole growing period and is more important in the final performance of the flock. Over the same 10 year period, the equipment used in brooding and starting chickens has changed, and some of these changes have significant consequences for the well-being of the day-old chick.
Our customers have become more focussed on the predictability of performance and uniformity of the product at all stages, especially in the processing plant. Many features of broiler management can affect uniformity and, in some cases, small changes in management technique can make a previously unimportant factor critical (e.g. the need for more feeding space once feed intake control is initiated) This Ross Tech is aimed at encouraging better general management and especially brooding management for broiler flocks, to improve performance and uniformity
Parent-offspring conflict: evolutionary biology of tension arising between pa...Brahmesh Reddy B R
Parent-offspring conflict is a concept in evolutionary biology that describes the tension arising between parents and their offspring over the allocation of resources. This conflict was first extensively discussed by Robert Trivers in 1974, building on the principles of evolutionary theory. The theory posits that while parents and their offspring share a substantial amount of genetic material, their genetic interests are not perfectly aligned, leading to conflicts of interest.
Theoretical Basis
The theory is based on the principle that both parents and offspring are driven by natural selection to maximize their own inclusive fitness. However, the ways they can maximize their fitness often conflict, especially over the distribution of resources such as food, care, and shelter.
Parents' Perspective: From a parent's standpoint, the optimal strategy typically involves distributing resources equitably among all current and future offspring to maximize the total number of surviving offspring. This means that a parent may withhold some resources from a current offspring if it increases the survival and reproductive prospects of subsequent offspring.
Offspring's Perspective: Each offspring, however, will benefit from obtaining more resources than the siblings to maximize its own survival and reproductive success. This can lead to a situation where the offspring demands more resources than the parent is willing to allocate.
Manifestations of the Conflict
1. Weaning Conflict: This is one of the most common examples of parent-offspring conflict. Offspring may seek to prolong nursing to gain more nutrients, while the mother may attempt to wean them earlier to conserve resources for future offspring or her own survival.
2. Sibling Rivalry: Sibling rivalry can be seen as an extension of parent-offspring conflict where siblings compete for parental attention and resources. Here, the conflict manifests not directly between parent and offspring but mediated through competition among siblings.
3. Reproductive Conflict: In some species, especially birds, offspring may attempt to manipulate parents into providing more care by feigning hunger or weakness. Parents need to discern genuine signals of need from manipulative ones to distribute care optimally among all offspring.
Evolutionary Consequences
Resource Allocation Strategies: Evolution shapes both parental and offspring strategies for resource allocation. Parents evolve mechanisms to detect and counteract manipulation by offspring, while offspring evolve more sophisticated strategies to extract resources.
Impact on Life History Traits: Parent-offspring conflict can influence key life history traits such as growth rates, age at independence, and reproductive strategy. For example, faster growth can be an adaptive strategy for offspring in response to parental underinvestment.
Domestication is a form of artificial selection where humans selectively breed plants and animals for specific traits that are advantageous for agriculture, companionship, work, or other purposes. This process has profound effects on the species being domesticated, often resulting in genetic, morphological, physiological, and behavioral changes. Here's an overview of the effects of domestication in the course of evolution:
Genetic Diversity
Reduction in Genetic Diversity: Domestication typically involves selecting a few individuals with desirable traits to breed the next generation. This selective breeding can reduce genetic diversity because it often excludes a large portion of the population from reproducing. Reduced genetic diversity can make domesticated species more susceptible to diseases and reduce their ability to adapt to changing environmental conditions.
Founder Effect: Many domesticated species originated from a relatively small ancestral population, which can lead to a pronounced founder effect. This effect occurs when a new population (in this case, domesticated species) is established from a small number of individuals, carrying only a fraction of the genetic diversity of the original population.
Morphological Changes
Size and Shape: Domestication often leads to changes in the size and shape of animals and plants. For example, domesticated animals tend to be larger or smaller than their wild counterparts, depending on the use intended by humans. Similarly, domesticated plants often have larger fruit or seeds than their wild relatives.
Neotenization: Domesticated animals often exhibit juvenile characteristics into adulthood, a process known as neotenization. This can include changes such as floppy ears, smaller jaws, and more docile behavior compared to their wild ancestors.
Physiological Changes
Reproductive Changes: Domesticated species often have higher reproductive rates compared to their wild counterparts. For instance, domesticated animals may breed more frequently or produce more offspring per breeding season. In plants, domestication can lead to a loss of natural seed dispersal mechanisms and an increase in seed yield.
Growth Rates: Enhanced growth rates are common in domesticated species, especially in animals bred for meat production, such as chickens and cattle, and in plants with selected traits for increased biomass or yield.
Auxin signal perception begins when auxin molecules bind to their receptor. The primary receptor for auxin is Transport Inhibitor Response 1 (TIR1), which is part of the SCF (SKP1, CUL1, F-box protein) complex, functioning as an E3 ubiquitin ligase. This receptor-ligand interaction is crucial for initiating the auxin response pathway.
Auxin Signal Transduction
Once auxin is bound to TIR1, the signal transduction pathway follows several steps:
Degradation of Aux/IAA Proteins: Auxin binding enhances the affinity of TIR1 for Aux/IAA proteins, which are repressors of auxin-responsive transcription factors called ARFs (Auxin Response Factors). The binding of auxin facilitates the ubiquitination of Aux/IAA proteins by the SCF complex, leading to their degradation via the 26S proteasome.
Activation of ARFs: With the degradation of Aux/IAA proteins, ARFs are released from repression. These transcription factors can then bind to auxin response elements (AuxREs) in the promoters of auxin-responsive genes, activating or repressing their expression.
Gene Expression Changes: The activation or repression of ARFs leads to changes in the expression of numerous genes involved in cell growth, division, and differentiation, as well as other physiological processes. This results in the various developmental and growth responses associated with auxin.
Feedback Regulation: The auxin signaling pathway includes mechanisms for feedback regulation to modulate the sensitivity of the response. For instance, some of the genes activated by ARFs encode Aux/IAA proteins, thus providing a negative feedback loop that adjusts the response to auxin.
Selection Intensity & Frequency based Selection in evolutionBrahmesh Reddy B R
Selection intensity and frequency-based selection are two important concepts in evolutionary biology, particularly in the study of how populations change over time due to various selective pressures. These concepts help explain differences in survival and reproductive success among individuals within a population, which are key to understanding evolutionary dynamics.
population. This concept is used to quantify how much a population's genetic makeup is altered by natural selection for or against a specific trait.
High Selection Intensity: When a trait significantly increases or decreases an organism's chances of survival and reproduction, selection intensity is said to be high. This typically results in rapid changes in allele frequencies within the population, driving quick evolutionary responses.
Low Selection Intensity: Conversely, if the trait has a smaller impact on survival and reproduction, selection intensity is low, resulting in slower evolutionary changes.
Selection intensity can be affected by environmental factors, predation pressures, competition for resources, and changes in population size.
Frequency-based selection (or frequency-dependent selection) occurs when the fitness of a phenotype depends on its frequency relative to other phenotypes in the population. There are two main types:
Positive Frequency-Dependent Selection: Here, the fitness of a phenotype increases as it becomes more common. An example is the selection for common warning colors in poisonous or distasteful animals, where predators more easily recognize and avoid commonly seen patterns.
Negative Frequency-Dependent Selection: In this case, the fitness of a phenotype increases as it becomes rarer. This can help maintain genetic diversity within a population. A classic example is seen in host-parasite interactions, where rare genotypes of the host may be less likely to be recognized and targeted by parasites.
Importance in Evolutionary Biology
Both selection intensity and frequency-based selection are crucial for understanding how populations adapt to their environments and how biodiversity is maintained. Selection intensity helps explain the speed and direction of evolution, while frequency-based selection helps explain the maintenance of diverse phenotypes within populations.
CO2 diffusion & concentration: aspects of stomatal conductance and intercellu...Brahmesh Reddy B R
Carbon dioxide (CO2) diffusion and concentration are fundamental aspects of plant physiology, directly influencing photosynthesis, the process by which plants convert light energy into chemical energy. The efficiency of this process affects plant growth, productivity, and carbon cycling in ecosystems.
CO2 moves into the plant primarily through structures called stomata, which are tiny openings usually found on the underside of leaves. The opening and closing of these stomata are regulated by the plant in response to various environmental signals such as light, CO2 concentration, and water availability. Once inside the leaf, CO2 diffuses from the air spaces within the leaf to the site of photosynthesis in the chloroplasts of mesophyll cells.
Within the leaf, the concentration of CO2 is influenced by several factors:
Stomatal conductance: The degree to which stomata allow gas exchange; it controls how much CO2 enters the leaf.
Photosynthetic rate: The rate at which CO2 is consumed in photosynthesis. High rates of photosynthesis can lower internal CO2 concentrations, increasing CO2 diffusion from the atmosphere into the leaf.
Respiration: Plant cells respire, releasing CO2, which can then be reused for photosynthesis or diffuse out of the leaf.
Boundary layer resistance: A thin layer of still air hugging the leaf surface that can impede CO2 diffusion into the stomata.
Internal CO2 Concentration (Ci):
This is the concentration of CO2 within the leaf, which is a dynamic balance between CO2 diffusion into the leaf and its consumption during photosynthesis. The internal CO2 concentration is crucial for understanding photosynthetic efficiency and water use efficiency of plants.
G-protein coupled receptors and crucial roles in cellular signalingBrahmesh Reddy B R
In plants, GPCRs have not been as clearly defined or classified as in animals, partly due to their structural and functional diversity. However, several plant proteins with homology to animal GPCRs have been identified and are implicated in important biological processes. These include the perception of light, hormones, sugars, and other external stimuli.
One well-studied example in plants is the GCR1 (G-protein Coupled Receptor 1). Although its specific ligands and complete range of functions are still under investigation, GCR1 is linked with several signaling pathways that regulate development and responses to environmental changes. Plant GPCRs typically activate a heterotrimeric G protein, leading to a cascade of downstream signals that result in physiological and developmental changes.
Another example includes potential GPCRs involved in abscisic acid (ABA) signaling, which plays a pivotal role in response to stress and developmental processes. These receptors are crucial for plants to cope with adverse conditions such as drought and salinity.
Isoelectric Focusing for high resolution separation of proteinsBrahmesh Reddy B R
The development of the technique of isoelectric focusing (IEF) represents a major advance in the field of high-resolution separations of proteins and other amphoteric macromolecules. IEF is an equilibrium method in which amphoteric molecules are segregated according to their isoelectric points (pl) in pH gradients. The pH gradients are formed by electrolysis of amphoteric buffer substances known as carrier ampholytes. When introduced into this system, other amphoteric molecules such as proteins migrate to pH zones that correspond to their respective pls where their net charge is zero. By counteracting back-diffusion with an appropriate electrical field the separated molecules can be concentrated into extremely sharp bands. The technique has now been refined to a level that permits the resolution of molecules whose pls differ by as little as 0.005 pH unit or less. This degree of resolution cannot normally be obtained by conventional electrophoretic or chromatographic procedures. In these latter procedures, specially adjusted conditions have to be devised for particular separations. While in contrast, IEF, by virtue of being an equilibrium method has a “built-in” resolution which usually allows one to separate in only one or two experiments all components with measurably different pl values. Further. because it is an equilibrium method, the system is self-correcting and therefore considerably less demanding in terms of experimental technique. IEF is particularly suitable for differentiating closely related molecules and provides a valuable criterion of homogeneity.
This presentation briefly describes the methods by which stem reserve mobilization occurs with some case studies proving the occurrence of stem reserve mobilization. Also trying to explain the mechanism
an insight into the stem cutting propagation in the chickpea crop
-why stem cutting in chickpea
-technique of stem cutting in chickpea
-case study of stem cutting propagation in chickpea
cultivation practices in Potato, true potato seed (TPS)and its commercial usageBrahmesh Reddy B R
the presentation gives in brief idea and in depth information on cultivation practices in the horticultural crop of potato and its production through true potato seed technique. the physiological disorders in potato and irradiation in potato are also been explained
the presentation is a brief information on the different post harvest practices practiced commonly in lndia and the presentation is generalized to the context of the world
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.
Domestication is a form of artificial selection where humans selectively breed plants and animals for specific traits that are advantageous for agriculture, companionship, work, or other purposes. This process has profound effects on the species being domesticated, often resulting in genetic, morphological, physiological, and behavioral changes. Here's an overview of the effects of domestication in the course of evolution:
Genetic Diversity
Reduction in Genetic Diversity: Domestication typically involves selecting a few individuals with desirable traits to breed the next generation. This selective breeding can reduce genetic diversity because it often excludes a large portion of the population from reproducing. Reduced genetic diversity can make domesticated species more susceptible to diseases and reduce their ability to adapt to changing environmental conditions.
Founder Effect: Many domesticated species originated from a relatively small ancestral population, which can lead to a pronounced founder effect. This effect occurs when a new population (in this case, domesticated species) is established from a small number of individuals, carrying only a fraction of the genetic diversity of the original population.
Morphological Changes
Size and Shape: Domestication often leads to changes in the size and shape of animals and plants. For example, domesticated animals tend to be larger or smaller than their wild counterparts, depending on the use intended by humans. Similarly, domesticated plants often have larger fruit or seeds than their wild relatives.
Neotenization: Domesticated animals often exhibit juvenile characteristics into adulthood, a process known as neotenization. This can include changes such as floppy ears, smaller jaws, and more docile behavior compared to their wild ancestors.
Physiological Changes
Reproductive Changes: Domesticated species often have higher reproductive rates compared to their wild counterparts. For instance, domesticated animals may breed more frequently or produce more offspring per breeding season. In plants, domestication can lead to a loss of natural seed dispersal mechanisms and an increase in seed yield.
Growth Rates: Enhanced growth rates are common in domesticated species, especially in animals bred for meat production, such as chickens and cattle, and in plants with selected traits for increased biomass or yield.
Auxin signal perception begins when auxin molecules bind to their receptor. The primary receptor for auxin is Transport Inhibitor Response 1 (TIR1), which is part of the SCF (SKP1, CUL1, F-box protein) complex, functioning as an E3 ubiquitin ligase. This receptor-ligand interaction is crucial for initiating the auxin response pathway.
Auxin Signal Transduction
Once auxin is bound to TIR1, the signal transduction pathway follows several steps:
Degradation of Aux/IAA Proteins: Auxin binding enhances the affinity of TIR1 for Aux/IAA proteins, which are repressors of auxin-responsive transcription factors called ARFs (Auxin Response Factors). The binding of auxin facilitates the ubiquitination of Aux/IAA proteins by the SCF complex, leading to their degradation via the 26S proteasome.
Activation of ARFs: With the degradation of Aux/IAA proteins, ARFs are released from repression. These transcription factors can then bind to auxin response elements (AuxREs) in the promoters of auxin-responsive genes, activating or repressing their expression.
Gene Expression Changes: The activation or repression of ARFs leads to changes in the expression of numerous genes involved in cell growth, division, and differentiation, as well as other physiological processes. This results in the various developmental and growth responses associated with auxin.
Feedback Regulation: The auxin signaling pathway includes mechanisms for feedback regulation to modulate the sensitivity of the response. For instance, some of the genes activated by ARFs encode Aux/IAA proteins, thus providing a negative feedback loop that adjusts the response to auxin.
Selection Intensity & Frequency based Selection in evolutionBrahmesh Reddy B R
Selection intensity and frequency-based selection are two important concepts in evolutionary biology, particularly in the study of how populations change over time due to various selective pressures. These concepts help explain differences in survival and reproductive success among individuals within a population, which are key to understanding evolutionary dynamics.
population. This concept is used to quantify how much a population's genetic makeup is altered by natural selection for or against a specific trait.
High Selection Intensity: When a trait significantly increases or decreases an organism's chances of survival and reproduction, selection intensity is said to be high. This typically results in rapid changes in allele frequencies within the population, driving quick evolutionary responses.
Low Selection Intensity: Conversely, if the trait has a smaller impact on survival and reproduction, selection intensity is low, resulting in slower evolutionary changes.
Selection intensity can be affected by environmental factors, predation pressures, competition for resources, and changes in population size.
Frequency-based selection (or frequency-dependent selection) occurs when the fitness of a phenotype depends on its frequency relative to other phenotypes in the population. There are two main types:
Positive Frequency-Dependent Selection: Here, the fitness of a phenotype increases as it becomes more common. An example is the selection for common warning colors in poisonous or distasteful animals, where predators more easily recognize and avoid commonly seen patterns.
Negative Frequency-Dependent Selection: In this case, the fitness of a phenotype increases as it becomes rarer. This can help maintain genetic diversity within a population. A classic example is seen in host-parasite interactions, where rare genotypes of the host may be less likely to be recognized and targeted by parasites.
Importance in Evolutionary Biology
Both selection intensity and frequency-based selection are crucial for understanding how populations adapt to their environments and how biodiversity is maintained. Selection intensity helps explain the speed and direction of evolution, while frequency-based selection helps explain the maintenance of diverse phenotypes within populations.
CO2 diffusion & concentration: aspects of stomatal conductance and intercellu...Brahmesh Reddy B R
Carbon dioxide (CO2) diffusion and concentration are fundamental aspects of plant physiology, directly influencing photosynthesis, the process by which plants convert light energy into chemical energy. The efficiency of this process affects plant growth, productivity, and carbon cycling in ecosystems.
CO2 moves into the plant primarily through structures called stomata, which are tiny openings usually found on the underside of leaves. The opening and closing of these stomata are regulated by the plant in response to various environmental signals such as light, CO2 concentration, and water availability. Once inside the leaf, CO2 diffuses from the air spaces within the leaf to the site of photosynthesis in the chloroplasts of mesophyll cells.
Within the leaf, the concentration of CO2 is influenced by several factors:
Stomatal conductance: The degree to which stomata allow gas exchange; it controls how much CO2 enters the leaf.
Photosynthetic rate: The rate at which CO2 is consumed in photosynthesis. High rates of photosynthesis can lower internal CO2 concentrations, increasing CO2 diffusion from the atmosphere into the leaf.
Respiration: Plant cells respire, releasing CO2, which can then be reused for photosynthesis or diffuse out of the leaf.
Boundary layer resistance: A thin layer of still air hugging the leaf surface that can impede CO2 diffusion into the stomata.
Internal CO2 Concentration (Ci):
This is the concentration of CO2 within the leaf, which is a dynamic balance between CO2 diffusion into the leaf and its consumption during photosynthesis. The internal CO2 concentration is crucial for understanding photosynthetic efficiency and water use efficiency of plants.
G-protein coupled receptors and crucial roles in cellular signalingBrahmesh Reddy B R
In plants, GPCRs have not been as clearly defined or classified as in animals, partly due to their structural and functional diversity. However, several plant proteins with homology to animal GPCRs have been identified and are implicated in important biological processes. These include the perception of light, hormones, sugars, and other external stimuli.
One well-studied example in plants is the GCR1 (G-protein Coupled Receptor 1). Although its specific ligands and complete range of functions are still under investigation, GCR1 is linked with several signaling pathways that regulate development and responses to environmental changes. Plant GPCRs typically activate a heterotrimeric G protein, leading to a cascade of downstream signals that result in physiological and developmental changes.
Another example includes potential GPCRs involved in abscisic acid (ABA) signaling, which plays a pivotal role in response to stress and developmental processes. These receptors are crucial for plants to cope with adverse conditions such as drought and salinity.
Isoelectric Focusing for high resolution separation of proteinsBrahmesh Reddy B R
The development of the technique of isoelectric focusing (IEF) represents a major advance in the field of high-resolution separations of proteins and other amphoteric macromolecules. IEF is an equilibrium method in which amphoteric molecules are segregated according to their isoelectric points (pl) in pH gradients. The pH gradients are formed by electrolysis of amphoteric buffer substances known as carrier ampholytes. When introduced into this system, other amphoteric molecules such as proteins migrate to pH zones that correspond to their respective pls where their net charge is zero. By counteracting back-diffusion with an appropriate electrical field the separated molecules can be concentrated into extremely sharp bands. The technique has now been refined to a level that permits the resolution of molecules whose pls differ by as little as 0.005 pH unit or less. This degree of resolution cannot normally be obtained by conventional electrophoretic or chromatographic procedures. In these latter procedures, specially adjusted conditions have to be devised for particular separations. While in contrast, IEF, by virtue of being an equilibrium method has a “built-in” resolution which usually allows one to separate in only one or two experiments all components with measurably different pl values. Further. because it is an equilibrium method, the system is self-correcting and therefore considerably less demanding in terms of experimental technique. IEF is particularly suitable for differentiating closely related molecules and provides a valuable criterion of homogeneity.
This presentation briefly describes the methods by which stem reserve mobilization occurs with some case studies proving the occurrence of stem reserve mobilization. Also trying to explain the mechanism
an insight into the stem cutting propagation in the chickpea crop
-why stem cutting in chickpea
-technique of stem cutting in chickpea
-case study of stem cutting propagation in chickpea
cultivation practices in Potato, true potato seed (TPS)and its commercial usageBrahmesh Reddy B R
the presentation gives in brief idea and in depth information on cultivation practices in the horticultural crop of potato and its production through true potato seed technique. the physiological disorders in potato and irradiation in potato are also been explained
the presentation is a brief information on the different post harvest practices practiced commonly in lndia and the presentation is generalized to the context of the world
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.
(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.
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
This report details the geological observations and interpretations made during a field investigation of the Kaptai Rangamati road-cut section, located in southeastern Bangladesh. The purpose of this report is to document the exposed rock units, their characteristics, and the geological structures present within the road cut.
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.
3. Concept of heat unit
Many physiological processes such as respiration, photosynthesis, germination,
flowering, protein denaturation and the physical processes like, transpiration,
evaporation etc are temperature dependent.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
4. Concept of heat unit
The heat unit concept assumes that there is a
direct and linear relationship between plant growth and temperature.
It starts with the assumption that the growth of plants is dependent on the
`total amount of heat`
to which it is subjected during its life period.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
5. Concept of heat unit
A degree-day, or a heat unit, is the
departure from the mean daily temperature above the base temperature.
This minimum threshold is the temperature below which no growth takes place.
The threshold varies with different plants, and for the majority it ranges from 4. 5
to 12.5°C, with higher values for tropical plants and lower values for temperate
plants.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
6. The portions of the curve that are
nearly horizontal or flat (A & C)
represent thermal environments
that are either too cold or hot for
the organism
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
7. Between the lower and upper
temperature thresholds resides a
range of temperatures (B) wherein
development increases with
increasing temperature
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
8. Mean temperature methods are most widely used in humid regions where
diurnal temperature fluctuations are relatively small during the growing season.
The single sine curve approach is more common in ‘semi-arid and arid regions’
that experience large diurnal fluctuations in temperature
Computation of heat units
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
9. The single sine curve procedure reconstructs the daily temperature cycle by
forcing a sine curve through the maximum and minimum temperatures for the
day
Computation of heat units:
1. SINE CURVE HEAT UNITS
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
10. The area bounded by the sine curve
b/w upper and lower temperature
thresholds represents the
temperature or heat that
contributes to growth and
development (grey area)
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
11. Note that temperatures above the
upper threshold and below the
lower threshold do not contribute to
growth and development and are
excluded
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
12. A heat unit value of 15 DDF simply
means that:
thermal conditions on that date
support a development rate
equivalent to 15°F above the lower
temperature threshold for the
organism
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
13. In this case with a heat unit value of
15 DDF one simply extends a
vertical line from the x-axis at 15
degrees above the lower
temperature threshold until the line
intersects the S-shaped curve to
obtain the relative rate of growth
and development
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
14. Figure represents an early spring
day where nighttime temperatures
(35ºF) are well below the lower
threshold and daytime
temperatures (75ºF) reside
between the two thresholds.
Heat unit accumulation on this cool
day totals just 6 DDF.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
15. Figure represents a typical
midsummer day where the
minimum temperature (68ºF) falls
between the two temperature
thresholds and the maximum
temperature (108ºF) is well above
the upper temperature threshold.
Heat unit accumulation in this case
totals 26 DDF
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
16. (Tmax + Tmin)/2 is the average daily temperature and Tbase is the minimum
threshold temperature for a crop
Computation of heat units:
2. STANDARD DEGREE-DAY METHOD
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
17. 1. The use of degree-days for calculating the temperature-dependent
development of insects, birds, and plants is widely accepted as a basis for
building phenology and population dynamics models.
Uses / Applications
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
18. Uses / Applications
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
2. Most applications of the growing degree-day concept are for the forecast of
crop harvest dates, yield, and quality.
19. Uses / Applications
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
3. A potential area of application lies in estimating the likelihood of the
successful growth of a crop in an area in which it has not been grown
before.
The growing degree-day concept can also be applied to the selection of one
variety from several varieties of plants to be grown in a new area.
20. Uses / Applications
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
4. Another application of the concept can be to change or modify the
microclimate in such a way as to produce nearly optimum conditions at
each point in the developmental cycle of an organism.
The concept is also applied to plants other than crop plants and to the
issues of growth and development of insects, plant pathogens, birds, and
other animals.
21. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
1. Though the degree-day concept is simple and useful, it lacks theoretical
soundness
22. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
2. the conditions that impact the physiological state of an organism (such as
nutrition and behavior-based thermoregulation) are not considered
23. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
3. error associated with the assumptions and approximation processes used
in estimating developmental rates and thresholds, and the limitations of
available weather data.
24. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
4. a lot of weightage is given to high temperature
- early maturing
- high biomass
25. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
5. The effects of topography, altitude, and latitude on crop growth cannot be
taken into account.
26. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
6. Wind, hail, insects, and diseases may influence the plant growth and
development, but these cannot be accounted for in this concept.
27. Drawbacks / Weaknesses
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
7. Soil fertility may affect crop maturity. This cannot be explained in this
concept.
Drawbacks outweigh uses
28. Importance of Heat Units in Crop Production
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Temperature controls the developmental rate of many organisms. Plants require
a certain amount of heat to develop from one point in their life cycles to another.
This measure of accumulated heat is known as physiological time.
29. Importance of Heat Units in Crop Production
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Theoretically, physiological time provides a common reference for the
development of organisms.
The amount of heat required to complete a given organism’s development does
not vary; the combination of temperature (between thresholds) and time will
always be the same.
30. Importance of Heat Units in Crop Production
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Physiological time is often expressed and approximated on hourly or daily time
scales using units of degree-hour (°hr) or degree-day (°D).
31. Importance of Heat Units in Crop Production
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Each developmental stage of an organism has its own total heat requirement.
The fifth-leaf stage of wheat occurs either at an average of 21 calendar days
after germination or 350 degree days after germination.
32. GDD: Growing degree days
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
“Growing degree days” (abbreviated GDD or DD) is a way of assigning a heat
value to each day. Growing degree days are calculated in each day using the
Tmax, Tmin and Tbase.
Generally, the threshold temperatures are higher values for tropical crops and
lower values for temperate crops.
GDD =
Tmax - Tmin
2
- Tbase
33. GDD: Growing degree days
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Crops Temperature (°C)
Wheat, barley 4.4
Potato, oats, sugarbeet 5.0
Sorghum, maize, groundnut 8.0-10.0
Rice 10.0-12.0
Tobacco 13.0-14.0
Threshold Temperature of Agricultural Crops
34. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS
The specific amount of heat units required for the plant at each stage from its
germination to harvest of the crop would vary and the important processes are
listed below:
● Growth and development
● Growth parameters
● Nitrification
● Biomass Physiological maturity
● Yield
35. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS
1.1 Phenology
The plants in higher temperature environment during floral induction would
produce higher primodia with same initiation rate and duration of induction on an
average with one leaf every 4 °C temperature range of 15 to 32 °C.
: 1. Growth
36. Phenology
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS : 1. Growth
37. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS : 1. Growth
CROP PHYLLOCHRON (DAY ℃)
Sorghum 54
Cotton 20
soybean 18.9
Pearl millet 75-98
maize 38-45.5
Leaf appearance : The rate of leaf emergence is affected by temperature. An
increase in temperature speeds up leaf emergence.
38. End of Leaf Growth: The end of leaf growth is influenced by temperature,
vernalization and photoperiod. The development of leaves stop in this stage and
takes duration of thermal time of 10-15 phyllochrons.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS : 1. Growth
39. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Grain Filling: It is an important phenological stage to set grain size. The thermal
time varied with different genotypes.
The thermal time requirement for genotypes is 500 °D after flowering or
20 °D after anthesis to maturity at which a rapid increase in grain weight takes
place.
Effect of heat units on
PHYSIOLOGICAL PROCESS : 1. Growth
40. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Comparison of growth
chamber (dark) and field
(light). Thermal time
requirements of various
developmental stages for
the Pisum sativum using
growth chamber determined
cardinal temperatures
Effect of heat units on
PHYSIOLOGICAL PROCESS : 2. Development
41. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS : 2. Development
42. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
: 3. NITRIFICATION
Effect of heat units on
PHYSIOLOGICAL PROCESS
Nitrification process will be initiated according to the degree-day accumulation.
It is assumed that the moisture is correct.
By the time 1000 growing degree-days have accumulated, 90% of the applied
nitrogen has been converted to the nitrate form.
43. : 4. PHOTOSENSITIVITY
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Effect of heat units on
PHYSIOLOGICAL PROCESS
Regulation of growth in photosensitive crops (varieties) regulated by
temperature is based on:
● A rise in temperature increases the rate at which leaves emerge.
● The number of developed leaves on main culm before heading is fairly
constant for a given variety.
● Because of the above two process, the number of days from sowing to
heading is fairly constant under a given temperature regime.
● A rise in temperature increases the rate of grain filling after flowering.
44. Impact of Excess or Deficit of Heat Units on Crop
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Flowering Performance:
The GDDs are must for the development of crop growth. The excess or deficit
GDD accumulation causes delay in flowering, or early flowering, in some crops
failure of flowering, yield loss, reduction in biomass occur.
45. Flowering
Accumulation of GDD is used to estimate the expected time of flowering.
The deficit growing degree days or heat unit accumulation at the time of
flowering leads to delayed flowering.
The excess GDD accumulation at flowering causes early flowering.
Impact of Excess or Deficit of Heat Units on Crop
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
46. Rice Heading Stage:
In rice where the temperature drops from 24 °C to 21 °C a sharp increase in days
to heading occur. A temperature drop by 1 °C leads to 13-day delay in heading.
When the temperature increases above 24 °C, days to heading decreases to 91
days at 27 °C and to 86 days at 30 °C. A temperature raise of 1 °C above 24 °C
shortens the number of days to heading by less than 2 days.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Impact of Excess or Deficit of Heat Units on Crop
Specific examples
47. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Impact of Excess or Deficit of Heat Units on Crop
Specific examples
Yield Reduction in Soybean
The study of HUE versus seed and stover yield
Early sown crop produced more dry matter and also resulted in higher yield of
both seed and stover than the late sown crop as they had accumulated more
growing degree days.
48. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Impact of Excess or Deficit of Heat Units on Crop
Specific examples
Yield Reduction in Soybean
The study of HUE versus seed and stover yield
49. Sunflower Yield Variation Depends on GDD
The accumulation of GDD is very less in spring than in the autumn season. Low
to high accumulation of GDD is compared with the yield and yield components.
The reduced achene yield was due to low GDD accumulation.
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Impact of Excess or Deficit of Heat Units on Crop
Specific examples
Spring r2 = .928
Autumn r2 = .969
50. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Heat unit requirements
51. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Heat unit requirements
52. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
53. Phenological shift by climate warming
Cereal crop phenology is very sensitive to climate change as compared to other
agronomic crops
Numerous methods have been utilized to elucidate the intensity of the effect of
climate change on agronomic cereal crops. The methods include analysis of
satellite images on vegetation greenness, measurement of net primary
production with Normalized Difference Vegetation Index (NDVI)
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
54. Wheat phenology trend
sowing (S), emergence (E), anthesis (A) and maturity (M) for wheat crop were
delayed by 9.5, 1.3, 5.3 and 5.4 days decade−1
phenological-phases S-A, A-M along with S-M were reduced by 5.5, 4.6 and 5.7
days decade−1
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
55. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
56. Rice phenology trend
sowing, transplanting (T), anthesis and maturity were earlier by 7.9, 6.6, 5.0 and
5.0 days decade−1
anthesis and maturity were earlier by 5.4, 3.2, 6.2 and 4.8 days decade−1 in
Madagascar. The phenological phases of sowing to transplanting, transplanting
to anthesis and A-M were reduced by 2.9, 1.6 and 5.2 days decade−1, respectively
in China during 1981 to 2009 as well as in other parts of world
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
57. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
58. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
59. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
60. Case studies
WHEAT
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
61. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
62. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
63. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
The crop sown on 15th November took maximum days to attain different
phenological stages and required maximum heat units which got reduced
with subsequent delay in sowing
The higher HUE in 15th November sown crop could be attributed to the
proportionate increase in dry matter per each heat unit absorbed.
64. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
65. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Among different irrigation levels, the maximum values of heat units were
noticed under full irrigation treatment and with the increase in moisture stress
from tillering to dough stage a significant reduction in heat
The less heat use efficiency for water stress conditions (I1, I2 and I3)may be
ascribed by less yield as well as growing degree days as compared to full
irrigation
66. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
67. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
68. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
Crop growth and seed yield were relatively higher in the first sown wheat crop
varieties because of more congenial weather conditions during the entire crop
growth period.
crop micro environment changed due to different sowing dates which
strongly influenced different phenological stages and crop yield.
69. Case studies
RICE
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
70. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
71. – Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R
72. THAT’S IT!!!
– Heat units and GDD
In regulating crop growth
PPH 605 (0+2)
Crop Physiology
Brahmesh
Reddy B R