scholarly journals Current status of salt tolerant indigenous rice genotypes, problems and feasibility at farmer's level in the coastal areas of Bangladesh

2021 ◽  
pp. 1
Author(s):  
Md Hoque ◽  
Fatema zohra ◽  
Md Seen ◽  
Rumana Biswas ◽  
Akbar Hosen ◽  
...  
EDIS ◽  
2018 ◽  
Vol 2018 (5) ◽  
Author(s):  
Debbie Miller ◽  
Mack Thetford ◽  
Chris Verlinde ◽  
Gabriel Campbell ◽  
Ashlynn Smith

Sea oats occur throughout Florida on beach dunes and beaches and on coastal areas west to Texas and north to Maryland. Sea oats are vital dune builders that accumulate sand and prevent erosion due to wind, waves, and large storms. As sand is trapped by the long leaves of sea oats, vertical growth is stimulated, and rooting occurs at the buried nodes. This plant is extremely drought- and salt-tolerant, grows up to the high tide line of beaches, and propagates both vegetatively and by seed in the wild (Shadow 2007).https://edis.ifas.ufl.edu/sg186 This publication is derived from information in SGEB-75/SG156, Dune Restoration and Enhancement for the Florida Panhandle, by Debbie Miller, Mack Thetford, Christina Verlinde, Gabriel Campbell, and Ashlynn Smith. https://edis.ifas.ufl.edu/sg156.


2021 ◽  
Author(s):  
Pablo Lorente ◽  

<p>The Mediterranean Sea is considered a relevant geostrategic region and a prominent climate change hot spot. This semi-enclosed basin has been the subject of abundant studies due to its vulnerability to sea-level rise and other coastal hazards. With the steady advent of new technologies, a growing wealth of observational data are nowadays available to efficiently monitor the sea state and properly respond to socio-ecological challenges and stakeholder needs, thereby strengthening the community resilience at multiple scales.</p><p>Nowadays, High-Frequency radar (HFR) is a worldwide consolidated land-based remote sensing technology since it provides, concurrently and in near real time, fine-resolution maps of the surface circulation along with (increasingly) wave and wind information over broad coastal areas. HFR systems present a wide range of practical applications: maritime safety, oil spill emergencies, energy production, management of extreme coastal hazards. Consequently, they have become an essential component of coastal ocean observatories since they offer a unique dynamical framework that complement conventional in-situ observing platforms. Likewise, within the frame of the Copernicus Marine Environment Monitoring Service (CMEMS), HFR are valuable assets that play a key pivotal role in both the effective monitoring of coastal areas and the rigorous skill assessment of operational ocean forecasting systems.</p><p>The present work aims to show a panoramic overview not only of the current status of diverse Mediterranean HFR systems, but also of the coordinated joint efforts between many multi-disciplinary institutions to establish a permanent HFR monitoring network in the Mediterranean, aligned with European and global initiatives. In this context, it is worth highlighting that many of the Mediterranean HFR systems are already integrated into the European HFR Node, which acts as central focal point for data collection, homogenization, quality assurance and dissemination and promotes networking between EU infrastructures and the Global HFR network.</p><p>Furthermore, priority challenges tied to the implementation of a long-term, fully integrated, sustainable operational Mediterranean HFR network are described. This includes aspects related to the setting up of such a system within the broader framework of the European Ocean Observing System (EOOS), and a long-term financial support required to preserve the infrastructure core service already implemented. Apart from the technological challenges, the enhancing of the HFR data discovery and access, the boosting of the data usage as well as the research integration must be achieved by building synergies among academia, management agencies, state government offices, intermediate and end users. This would guarantee a coordinated development of tailored products that meet the societal needs and foster user uptake, serving the marine industry with dedicated smart innovative services, along with the promotion of strategic planning and informed decision-making in the marine environment.</p>


2016 ◽  
Vol 7 (2) ◽  
pp. 7-13
Author(s):  
Tadesse Girma Beakal ◽  
Mohammed Hussein ◽  
Abegaz Kebede

Author(s):  
M Al-Amin ◽  
MM Islam ◽  
SN Begum ◽  
MS Alam ◽  
M Moniruzzaman ◽  
...  

Twenty eight rice germplasms were used for identification of salt tolerant rice genotypes at the seedling stage at the experimental farm and Biotechnology laboratory of the Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh during February 2009 to October 2009. Phenotyping for salinity screening of the rice genotypes was done using salinized (EC level 12 dS m-1) nutrient solution in hydroponic system. Genotypes were evaluated for salinity tolerance on 1-9 scale based on seedling growth parameters following modified Standard Evaluation Scoring (SES) of IRRI. Phenotypically, on the basis of SES and % total dry matter (TDM) reduction of the genotypes viz. PBSAL-614, PBSAL-613, PBSAL-730, Horkuch, S-478/3 Pokkali and PBSAL (STL)-15 were found to be salt tolerant; on the other hand Iratom-24, S-653/32, S-612/32, S-604/32, S-633/32, Charnock (DA6), BINA Dhan-6 and S-608/32 were identified as salt susceptible. For genotyping, ten SSR markers were used for polymorphism, where 3 primers (RM127, RM443 and RM140) were selected for evaluation of salt tolerance. In respect of Primer RM127, 7 lines were found salt tolerant and 11 lines were moderately tolerant and 10 lines were susceptible. Nine tolerant, 9 moderately tolerant and 10 susceptible lines were found when the primer RM140 was used and primer RM443 identified 8 lines as tolerant, 9 lines as moderately tolerant and 11 lines as susceptible. Thus, the salt tolerant lines can be used in further evaluation for salinity tolerance and the SSR markers used in this study are proving valuable for identifying salt tolerant genes in marker assisted breeding. Int. J. Agril. Res. Innov. & Tech. 3 (1): 52-59, June, 2013 DOI: http://dx.doi.org/10.3329/ijarit.v3i1.16093


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasanta K. Subudhi ◽  
Rama Shankar ◽  
Mukesh Jain

AbstractSalinity is a major abiotic constraint for rice farming. Abundant natural variability exists in rice germplasm for salt tolerance traits. Since few studies focused on the genome level variation in rice genotypes with contrasting response to salt stress, genomic resequencing in diverse genetic materials is needed to elucidate the molecular basis of salt tolerance mechanisms. The whole genome sequences of two salt tolerant (Pokkali and Nona Bokra) and three salt sensitive (Bengal, Cocodrie, and IR64) rice genotypes were analyzed. A total of 413 million reads were generated with a mean genome coverage of 93% and mean sequencing depth of 18X. Analysis of the DNA polymorphisms revealed that 2347 nonsynonymous SNPs and 51 frameshift mutations could differentiate the salt tolerant from the salt sensitive genotypes. The integration of genome-wide polymorphism information with the QTL mapping and expression profiling data led to identification of 396 differentially expressed genes with large effect variants in the coding regions. These genes were involved in multiple salt tolerance mechanisms, such as ion transport, oxidative stress tolerance, signal transduction, and transcriptional regulation. The genome-wide DNA polymorphisms and the promising candidate genes identified in this study represent a valuable resource for molecular breeding of salt tolerant rice varieties.


2019 ◽  
Vol 16 (2) ◽  
pp. 377-390
Author(s):  
Shahabuddin Ahmed ◽  
Touhidur Rahman Anik ◽  
Ashraful Islam ◽  
Imtiaz Uddin ◽  
Mohammad S. Haque

Salinity is one of the major abiotic stresses, which adversely affects the crop productivity. Thirty rice genotypes of diverse origin including three salt tolerant check varieties, Binadhan-8, Binadhan-10 and Pokkali, were used to evaluate salt tolerance at seedling stage and to determine the genetic diversity using microsatellite markers. Salinity screening was done at the seedling stage using hydroponic system following IRRI standard protocol. Three salinity levels as 6dSm-1, 8dSm-1, and 10dSm-1 were used along with control. Data were recorded on root length, shoot length and dry weight and the genotypes were scored based on modified standard evaluation score (SES) for visual injury. Sixteen SSR markers were used to study the genetic variation within 30 rice genotypes. A total of 65 alleles with an average of 4.06 allele per locus were detected among 30 rice genotypes. The polymorphism information content (PIC) value ranged from 0.24 to 0.86 with an average of 0.51. The unweighted pair group method with arithmetic mean (UPGMA) dendrogram revealed four clusters. Among them cluster I identified 5 salt tolerant genotypes and cluster IV separated one tolerant and one moderately tolerant genotype. Based on SES evaluation and molecular analysis genotypes Balam, THDB, Q-31, Ab.Hai, BR-5, FR13A ware salt tolerant; Moulota, Super hybrid, Y-1281, Binadhan-16 were moderate salt tolerant. This information could be useful for selection of suitable genotypes for developing salt tolerant rice variety through molecular breeding.


Author(s):  
Ch Sai Nayan Raju ◽  
Gabrial M. Lal ◽  
Ch. Damodar Raju

The present investigation was undertaken to study the 54 rice genotypes to estimate the diversity, among selected rice genotypes for yield and its component characters. The experiment was carried out during Kharif, 2020, in a randomized block design with three replications at the Indian Institute of Rice Research, Rajendranagar, Hyderabad voluntary center (Kampasagar), in Telangana State. The data was collected on characters viz and salt-tolerant score 0-9 scale. The 54 genotypes of rice were grouped into twelve clusters. Clusters with their genotypes are presented in. Cluster I had 15 genotypes, Cluster II had 13 genotypes, whereas Cluster III had 4 genotypes Cluster IV, V had 4 genotypes and cluster VI had 6 genotypes cluster VII had 1 genotype cluster VIII had three genotypes cluster Ⅸ, Ⅹ, Ⅺ had 1 genotypes cluster Ⅻ had 3 genotypes Highest inter-cluster distance was exhibited between clusters VIII and Ⅺ. and lowest cluster divergence found between the clusters Ⅳ and VII Greater the distance, wider the genetic diversity among the genotypes of those clusters. For high heterotic recombinants performing genotypes would be used as parents in the recombination breeding program. 


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