scholarly journals Long-day increase of HvVRN2 expression marks the deadline to fulfill the vernalization requirement in winter barley

2018 ◽  
Author(s):  
Arantxa Monteagudo ◽  
Ernesto Igartua ◽  
Ildikó Karsai ◽  
M Pilar Gracia ◽  
Ana M. Casas
Keyword(s):  
Climate Change Scenario ◽  
Winter Barley ◽  
Day Length ◽  
Change Scenario ◽  
Complex Mechanism ◽  
Long Day ◽  
Cold Requirement ◽  
The Moment ◽  
The Right ◽  
H 30

AbstractVernalization and photoperiod cues are integrated in winter barley plants to flower in the right conditions. We hypothesize that there is a timeframe to satisfy the vernalization needs in order to flower in the optimum moment. Growth and expression of different flowering promoters (HvVRN1, HvCO2, Ppd-H1, HvFT1, HvFT3) and repressors (HvVRN2, HvCO9 and HvOS2) were evaluated in two winter barley varieties under: (1) natural increasing photoperiod, without vernalization, and (2) under short day conditions in three insufficient vernalization treatments. Here, we provide evidence of the existence of a day-length threshold, around 12 h 30 min in our latitudes (Zaragoza, Spain, 41°43’N), marked by the rise of HvVRN2 expression, which defines the moment in which cold requirement must be satisfied to acquire competency to flower. Before that, expression of HvCO2 was induced and might be promoting HvFT1 in both inductive and non-inductive conditions. HvFT3, to be effectively expressed, must receive induction of cold or plant development, through downregulation of HvVRN2 and HvOS2. We emphasize the contribution of HvOS2, together with HvVRN2, in the delay of flowering in vernalization-responsive cultivars. Understanding this complex mechanism of flowering might be useful for breeders to define varieties, particularly in a climate change scenario.

scholarly journals Projection in Future Drought Hazard of South Korea Based on RCP Climate Change Scenario 8.5 Using SPEI

2016 ◽  
Vol 2016 ◽  
pp. 1-23 ◽  
Author(s):  
Byung Sik Kim ◽  
In Gi Chang ◽  
Jang Hyun Sung ◽  
Hae Jin Han
Keyword(s):  
Climate Change ◽  
South Korea ◽  
Climate Change Scenario ◽  
Future Climate Change ◽  
Drought Severity ◽  
Change Scenario ◽  
Monthly Precipitation ◽  
Drought Intensity ◽  
Drought Hazard ◽  
The Right

The Standardized Precipitation Evapotranspiration Index (SPEI) analysis was conducted using monthly precipitation data and temperature data on a 12.5 km × 12.5 km resolution based on a Representative Concentration Pathways (RCP) 8.5 climate change scenario, and the characteristics of drought were identified by the threshold. In addition, the changes in drought severity and intensity were projected using the threshold based on the run-length concept and frequency analysis. As a result of the analysis, the probability density function of the total drought and maximum drought intensity moved the upper tail for the upcoming years, and the average drought intensity was also projected to become stronger in the future than in the present to the right side. Through this, it could be projected that the drought scale and frequency and the drought intensity will become severer over South Korea because of future climate change.

scholarly journals Evaluation of climate change influence on agroclimatic conditions of sunflower growing in Ukraine

2017 ◽  
pp. 86-92
Author(s):  
О.L. Zhygailo ◽  
T.S. Zhygailo
Keyword(s):  
Climate Change ◽  
Comparative Analysis ◽  
Climate Change Scenario ◽  
Weather Conditions ◽  
Vegetation Period ◽  
Change Scenario ◽  
Forest Steppe ◽  
Precipitation Regime ◽  
Temperature And Precipitation ◽  
The Right

The problem of climate change and global warming both in whole and in particular has become one of the most serious and urgent directions of scientific and technical activity at the present stage. The future food security of Ukraine depends on the effectiveness of adaptation of agriculture to new conditions dictated by the global anthropogenic warming. In order to evaluate possible impact of climate change in Ukraine on agroclimatic indicators the scenario A1B - "moderate" was used providing a balance between all energy sources. Researches of sunflower harvest formation are carried out using a dynamic model of agricultural crops productivity. For a comparative analysis of scenary meteorological variables with previous data the period from 1986 to 2005 is taken from agroclimatic directory of Ukraine. It serves as a base when performing calculations. According to calculations of A1B climate change scenario, periods of sowing and subsequent phases of development will occur earlier than at present, which will lead to reduction of the whole vegetation period at most parts of the area under study. As a result of comparative analysis of temperature and precipitation regime it was found that, subject to implementation of the climate change scenario under study, expected weather conditions will be more favourable for cultivation of sun-flower in the Western and Central forest-steppe, as well as at the Right-Bank Ukraine and in the Donetsk sub-zone of Northern steppe of Ukraine.

Variability Analysis of Climate Extreme Index using Downscaled Multi-models and Grid-based CMIP5 Climate Change Scenario Data

2020 ◽  
Vol 11 (2) ◽  
pp. 123-132
Author(s):  
Jae-Pil Cho ◽  
Jae-Uk Kim ◽  
Soon-Kun Choi ◽  
Sye-Woon Hwang ◽  
Hui-Cheul Jung
Keyword(s):  
Climate Change ◽  
Climate Change Scenario ◽  
Extreme Index ◽  
Change Scenario ◽  
Climate Extreme ◽  
Variability Analysis ◽  
Grid Based

Would you Make the Right Decision? – Decision Making Biases in Economy - Related Dilemmas

2018 ◽  
Vol 9 (1) ◽  
pp. 59-66
Author(s):  
Zsuzsanna Gödör ◽  
Georgina Szabó
Keyword(s):  
Decision Making ◽  
Online Survey ◽  
Framing Effect ◽  
Economic Knowledge ◽  
Bank Account ◽  
Financial Decisions ◽  
Hungarian Population ◽  
The Moment ◽  
The Right ◽  
Decision Making Biases

Abstract As they say, money can’t buy happiness. However, the lack of it can make people’s lives much harder. From the moment we open our first bank account, we have to make lots of financial decisions in our life. Should I save some money or should I spend it? Is it a good idea to ask for a loan? How to invest my money? When we make such decisions, unfortunately we sometimes make mistakes, too. In this study, we selected seven common decision making biases - anchoring and adjustment, overconfidence, high optimism, the law of small numbers, framing effect, disposition effect and gambler’s fallacy – and tested them on the Hungarian population via an online survey. In the focus of our study was the question whether the presence of economic knowledge helps people make better decisions? The decision making biases found in literature mostly appeared in the sample as well. It proves that people do apply them when making decisions and in certain cases this could result in serious and costly errors. That’s why it would be absolutely important for people to learn about them, thus increasing their awareness and attention when making decisions. Furthermore, in our research we did find some connection between decisions and the knowledge of economics, people with some knowledge of economics opted for the better solution in bigger proportion

Possible vegetation change in Mountain Altai under climate warming and compiling the prognosis maps

2000 ◽  
pp. 26-31
Author(s):  
E. I. Parfenova ◽  
N. M. Chebakova
Keyword(s):  
Climate Warming ◽  
Vegetation Change ◽  
Climate Change Scenario ◽  
Change Scenario ◽  
Forest Steppe ◽  
Vegetation Map ◽  
Climatic Indices ◽  
Bioclimatic Model ◽  
Open Woodland ◽  
Mountain Taiga

Global climate warming is expected to be a new factor influencing vegetation redistribution and productivity in the XXI century. In this paper possible vegetation change in Mountain Altai under global warming is evaluated. The attention is focused on forest vegetation being one of the most important natural resources for the regional economy. A bioclimatic model of correlation between vegetation and climate is used to predict vegetation change (Parfenova, Tchebakova 1998). In the model, a vegetation class — an altitudinal vegetation belt (mountain tundra, dark- coniferous subalpine open woodland, light-coniferous subgolets open woodland, dark-coniferous mountain taiga, light-coniferous mountain taiga, chern taiga, subtaiga and forest-steppe, mountain steppe) is predicted from a combination of July Temperature (JT) and Complex Moisture Index (CMI). Borders between vegetation classes are determined by certain values of these two climatic indices. Some bioclimatic regularities of vegetation distribution in Mountain Altai have been found: 1. Tundra is separated from taiga by the JT value of 8.5°C; 2. Dark- coniferous taiga is separated from light-coniferous taiga by the CMI value of 2.25; 3. Mountain steppe is separated from the forests by the CMI value of 4.0. 4. Within both dark-coniferous and light-coniferous taiga, vegetation classes are separated by the temperature factor. For the spatially model of vegetation distribution in Mountain Altai within the window 84 E — 90 E and 48 N — 52 N, the DEM (Digital Elevation Model) was used with a pixel of 1 km resolution. In a GIS Package IDRISI for Windows 2.0, climatic layers were developed based on DEM and multiple regressions relating climatic indices to physiography (elevation and latitude). Coupling the map of climatic indices with the authors' bioclimatic model resulted into a vegetation map for the region of interest. Visual comparison of the modelled vegetation map with the observed geobotanical map (Kuminova, 1960; Ogureeva, 1980) showed a good similarity between them. The new climatic indices map was developed under the climate change scenario with summer temperature increase 2°C and annual precipitation increase 20% (Menzhulin, 1998). For most mountains under such climate change scenario vegetation belts would rise 300—400 m on average. Under current climate, the dark-coniferous and light-coniferous mountain taiga forests dominate throughout Mountain Altai. The chern forests are the most productive and floristically rich and are also widely distributed. Under climate warming, light-coniferous mountain taiga may be expected to transform into subtaiga and forest-steppe and dark-coniferous taiga may be expected to transform partly into chern taiga. Other consequences of warming may happen such as the increase of forest productivity within the territories with sufficient rainfall and the increase of forest fire occurrence over territories with insufficient rainfall.

JUSTICE AND SOCIAL CHANGE FOR INCLUSIVE EDUCATION IN INDONESIA AND ASEAN FOR DISABLED PERSONS (STUDY ON PEOPLE AFFECTED BY LEPROSY)

2017 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Nuah Perdamenta Tarigan ◽  
Christian Siregar ◽  
Simon Mangatur Tampubolon
Keyword(s):  
Inclusive Education ◽  
Local Governments ◽  
Disabled Persons ◽  
Equal Rights ◽  
Central Java ◽  
The People ◽  
Asean Countries ◽  
The Government ◽  
The Moment ◽  
The Right

Justice that has not existed and is apparent among the disabilities in Indonesia is very large and spread in the archipelago is very large, making the issue of equality is a very important thing especially with the publication of the Disability Act No. 8 of 2016 at the beginning of that year. Only a few provinces that understand properly and well on open and potential issues and issues will affect other areas including the increasingly growing number of elderly people in Indonesia due to the increasing welfare of the people. The government of DKI Jakarta, including the most concerned with disability, from the beginning has set a bold step to defend things related to disability, including local governments in Solo, Bali, Makassar and several other areas. Leprosy belonging to the disability community has a very tough marginalization, the disability that arises from leprosy quite a lot, reaches ten percent more and covers the poor areas of Indonesia, such as Nusa Tenggara Timur, Papua, South Sulawesi Provinces and even East Java and West Java and Central Java Provinces. If we compare again with the ASEAN countries we also do not miss the moment in ratifying the CRPD (Convention of Rights for People with Disability) into the Law of Disability No. 8 of 2016 which, although already published but still get rejections in some sections because do not provide proper empowerment and rights equality. The struggle is long and must be continued to build equal rights in all areas, not only health and welfare but also in the right of the right to receive continuous inclusive education.

scholarly journals Simulating Agroforestry Adoption in Rural Indonesia: The Potential of Trees on Farms for Livelihoods and Environment

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 385
Author(s):  
Beatrice Nöldeke ◽  
Etti Winter ◽  
Yves Laumonier ◽  
Trifosa Simamora
Keyword(s):  
Climate Change ◽  
Climate Change Scenario ◽  
Agroforestry System ◽  
Environmental Benefits ◽  
Small Scale ◽  
Change Scenario ◽  
Trees On Farms ◽  
Agroforestry Adoption ◽  
Mitigate Climate Change ◽  
Small Scale Farmers

In recent years, agroforestry has gained increasing attention as an option to simultaneously alleviate poverty, provide ecological benefits, and mitigate climate change. The present study simulates small-scale farmers’ agroforestry adoption decisions to investigate the consequences for livelihoods and the environment over time. To explore the interdependencies between agroforestry adoption, livelihoods, and the environment, an agent-based model adjusted to a case study area in rural Indonesia was implemented. Thereby, the model compares different scenarios, including a climate change scenario. The agroforestry system under investigation consists of an illipe (Shorea stenoptera) rubber (Hevea brasiliensis) mix, which are both locally valued tree species. The simulations reveal that farmers who adopt agroforestry diversify their livelihood portfolio while increasing income. Additionally, the model predicts environmental benefits: enhanced biodiversity and higher carbon sequestration in the landscape. The benefits of agroforestry for livelihoods and nature gain particular importance in the climate change scenario. The results therefore provide policy-makers and practitioners with insights into the dynamic economic and environmental advantages of promoting agroforestry.

scholarly journals FLOWERING HTH1 is involved in CONSTANS-mediated flowering regulation in Arabidopsis

2019 ◽  
Vol 62 (1) ◽  
Author(s):  
Soon Ae Sim ◽  
Su Gyeong Woo ◽  
Dae Yeon Hwang ◽  
Jin-Hong Kim ◽  
Seung Sik Lee ◽  
...  
Keyword(s):  
Subcellular Location ◽  
Day Length ◽  
Interacting Protein ◽  
Photoperiodic Flowering ◽  
Family Protein ◽  
Flowering Regulation ◽  
Delayed Flowering ◽  
The Right ◽  
Two Hybrid ◽  
Repression Domain

Abstract Flowering at the right time is essential for maximum reproductive fitness. In Arabidopsis thaliana, the CONSTANS (CO) protein facilitates the transition from the vegetative phase to the reproductive phase under long-day conditions. The formation of heterodimeric complexes between CO and DNA binding domain-containing transcription factors is important for the induction of day length-dependent flowering. Here, we report a myb-like helix turn helix (HTH) transcriptional regulator family protein as a new modulator of floral transition, which we have named FLOWERING HTH1 (FHTH1). We isolated FHTH1 as a CO-interacting protein by a yeast two-hybrid screen using an Arabidopsis transcription factor library. Our analysis showed that FHTH1 presented in the nucleus and the FHTH1-CO complex was formed in the same subcellular location. We also observed the expression of a FHTH1:GUS construct in the leaf vasculature, where CO exists. Transgenic plants overexpressing FHTH1 fused with the plant-specific repression domain SRDX showed a delayed flowering phenotype in long days, resembling the phenotype of the co mutant. Our results suggest that FHTH1 may contribute to CO-mediated photoperiodic flowering regulation.

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