scholarly journals Morphoagronomic and molecular characterization of Euterpe oleracea accessions from eastern Brazilian Amazon

2021 ◽  
Vol 43 ◽  
pp. e58099
Author(s):  
Rayane da Mota Rios ◽  
Silas Mochiutti ◽  
Wardsson Lustrino Borges ◽  
Lúcio André Viana Dias
Keyword(s):  
Rapd Markers ◽  
Mean Squared Error ◽  
Random Amplified Polymorphic Dna ◽  
Euterpe Oleracea ◽  
High Productivity ◽  
Squared Error ◽  
Environmental Importance ◽  
Selection Of ◽  
Euterpe Oleracea Mart

Açaí (Euterpe oleracea Mart.) - a common tropical palm has high social, economic, and environmental importance in the Amazon region. In the light of increasing exploration to obtain the fruit and heart of this palms, comprehensive studies are warranted for conservation and genetic improvement. Here, we characterized açaí accessions using phenological, morphological, and agronomic descriptors and random amplified polymorphic DNA (RAPD) molecular markers for joint selection of accessions with greater productivity. Hundred accessions were analyzed using 18 morphoagronomic descriptors and 13 RAPD markers. The spathe and inflorescence emission phases during flowering and fruiting showed seasonality. Based on the coefficient of variation and mean squared error, the accessions exhibited high variability in the tested morphoagronomic descriptors and were distributed into seven groups. Fruit, seed, and pulp weights were important descriptors for the distinction of accessions and identification of those with greater productivity. The accessions presented >85% similarity, and 85 accessions, distributed in nine subgroups, could not be differentiated using RAPD markers. There was no correlation between grouping based on morphometric descriptors and RAPD markers. Panicle weight was 3.9-9.0 kg in 15 accessions and 100-fruit pulp weight was 35-50 g in six accessions. Therefore, accessions with high productivity could be selected.

Preparation and Characterization of the Nutritive Value of Flour Made from Acai (Euterpe oleracea, Mart.) Seeds

2014 ◽  
Vol 4 (3) ◽  
pp. 224-228
Author(s):  
Elaine Lima ◽  
Edna Santos ◽  
Robert Smith ◽  
Armando Sabaa-Srur
Keyword(s):  
Nutritive Value ◽  
Euterpe Oleracea ◽  
Euterpe Oleracea Mart

scholarly journals Random Amplification of Polymorphic DNA Analysis for Genetic Characterization of Two Breeds of Dogs, German Shepherd and Japanese Spitz

2013 ◽  
Vol 13 (2) ◽  
pp. 73-78
Author(s):  
Jarina Joshsi ◽  
Lumanti Manandhar ◽  
Patima Shrestha ◽  
Rani Gupta ◽  
Rojlina Manadhar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Rapd Markers ◽  
Dna Analysis ◽  
Genetic Characterization ◽  
Random Amplified Polymorphic Dna ◽  
Neighbor Joining ◽  
German Shepherd ◽  
Polymorphic Loci ◽  
Random Amplification

Random amplified polymorphic DNA (RAPD) markers were used to study genetic diversity in dog samples belonging to populations of German Shepherd and Japanese Spitz. A total of twelve samples were typed using eight RAPD primers. Out of eight primers, three primers gave result in six individuals of dogs. The phylogenetic tree constructed by the neighbor joining method based on Nei. Original measures revealed highest genetic identity found in German Shepherd as 0.9444 and highest genetic distance as 1.2809. The analysis predicts the number of polymorphic loci as 15 and the percentage of polymorphic loci as 83.3. Nepal Journal of Science and Technology Vol. 13, No. 2 (2012) 73-78 DOI: http://dx.doi.org/10.3126/njst.v13i2.7717

scholarly journals Antioxidant Capacity and Chemical Characterization of Açaí (Euterpe oleracea Mart.) Fruit Fractions

2016 ◽  
Vol 4 (5) ◽  
pp. 95-102 ◽  
Author(s):  
Daniela Souza Ferreira ◽  
Alex Linardi Gomes ◽  
Marta Gomes da Silva ◽  
Adriana Barreto Alves ◽  
Wellington Hortenci Dall Agnol ◽  
...  
Keyword(s):  
Antioxidant Capacity ◽  
Chemical Characterization ◽  
Euterpe Oleracea ◽  
Euterpe Oleracea Mart

Molecular Diversity Analysis of Lentil (Lens culinaris Medik.) through RAPD Markers

2012 ◽  
Vol 22 (1) ◽  
pp. 51-58 ◽  
Author(s):  
M.E. Hoque ◽  
M.M. Hasan
Keyword(s):  
Genetic Distance ◽  
Rapd Markers ◽  
Gene Diversity ◽  
Random Amplified Polymorphic Dna ◽  
Molecular Genetic ◽  
Group Method ◽  
Diversity Analysis ◽  
Pair Group ◽  
Molecular Genetic Diversity

Random Amplified Polymorphic DNA (RAPD) markers were used to study the molecular genetic diversity analysis among six BARI released lentil varieties viz. BARI masur-1, BARI masur-2, BARI masur-3, BARI masur-4, BARI masur-5 and BARI masur-6. PCR amplified products were visualized on 1.0% agarose gel and the band for each primer were scored. Ten RAPD markers were used in this study. Out of them 7 primers showed amplification of 53 DNA fragments with 60.37% of them being polymorphic. The highest number of polymorphic loci was noticed in the variety BARI masur-3. The same variety also showed maximum Nei’s gene diversity value (0.0552). The highest Nei’s genetic distance (0.5002) was observed in BARI masur-1 vs. BARI masur-5 whereas, the lowest genetic distance (0.0692) was found in BARI masur-1 vs. BARI masur-2. The unweighted pair group method of arithmetic mean (UPGMA) dendrogram based on Nei’s genetic distance grouped the six cultivars into two main clusters. BARI masur-1, BARI masur-2 and BARI masur-3 were in cluster I and BARI masur-4, BARI masur-5 and BARI masur-6 were in cluster II. The cultivar BARI masur-4 was closest to the cultivar BARI masur-6 with the lowest genetic distance (0.0972) and the highest genetic distance (0.5002) was found between BARI masur-1 and BARI masur-5. The RAPD markers were found to be useful in molecular characterization of lentil varieties which could be utilized by the breeders for the improvement of lentil cultivars. DOI: http://dx.doi.org/10.3329/ptcb.v22i1.11260 Plant Tissue Cult. & Biotech. 22(1): 51-58, 2012 (June)

On the Applicability of Extreme Value Statistics in the Prediction of Maximum Pit Depth in Heavily Corroded Non-Piggable Buried Pipelines

2010 ◽  
Author(s):  
L. Alfonso ◽  
F. Caleyo ◽  
J. M. Hallen ◽  
J. Araujo
Keyword(s):  
Mean Squared Error ◽  
Extreme Value ◽  
Extreme Value Statistics ◽  
Extreme Value Analysis ◽  
Corrosion Condition ◽  
Value Analysis ◽  
Squared Error ◽  
Different Populations ◽  
Pit Depth ◽  
Selection Of

There exists a large number of works aimed at the application of Extreme Value Statistics to corrosion. However, there is a lack of studies devoted to the applicability of the Gumbel method to the prediction of maximum pitting-corrosion depth. This is especially true for works considering the typical pit densities and spatial patterns in long, underground pipelines. In the presence of spatial pit clustering, estimations could deteriorate, raising the need to increase the total inspection area in order to obtain the desired accuracy for the estimated maximum pit depth. In most practical situations, pit-depth samples collected along a pipeline belong to distinguishable groups, due to differences in corrosion environments. For example, it is quite probable that samples collected from the pipeline’s upper and lower external surfaces will differ and represent different pit populations. In that case, maximum pit-depth estimations should be made separately for these two quite different populations. Therefore, a good strategy to improve maximum pit-depth estimations is critically dependent upon a careful selection of the inspection area used for the extreme value analysis. The goal should be to obtain sampling sections that contain a pit population as homogenous as possible with regard to corrosion conditions. In this study, the aforementioned strategy is carefully tested by comparing extreme-value-oriented Monte Carlo simulations of maximum pit depth with the results of inline inspections. It was found that the variance to mean ratio, a measure of randomness, and the mean squared error of the maximum pit-depth estimations were considerably reduced, compared with the errors obtained for the entire pipeline area, when the inspection areas were selected based on corrosion-condition homogeneity.

Spray drying of extract from Euterpe oleracea Mart.: Optimization of process and characterization of the açaí powder

2019 ◽  
Vol 42 (8) ◽  
Author(s):  
Maria da C. da Costa Valente ◽  
Rafael A. Nascimento ◽  
Elza B. Santana ◽  
Nielson F. da Paixão Ribeiro ◽  
Cristiane M. L. Costa ◽  
...  
Keyword(s):  
Spray Drying ◽  
Euterpe Oleracea ◽  
Euterpe Oleracea Mart

Genotypic Characterization of Rhizopus Spp. Tempeh and Usar: Traditional Inoculum of Tempeh in Indonesia

2020 ◽  
Vol 14 (3) ◽  
pp. 3
Author(s):  
Tati Barus ◽  
Jason Wiranata Sanjaya ◽  
Anastasia Tatik Hartanti ◽  
Adi Yulandi ◽  
Vivitri Dewi Prasasty ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Internal Transcribed Spacer ◽  
Rapd Markers ◽  
Random Amplified Polymorphic Dna ◽  
Its Sequence ◽  
Rhizopus Microsporus ◽  
Rhizopus Delemar

Abstract. Soybeans tempeh (tempeh) is processed by fermentation using Rhizopus spp. Tempeh is an important source of protein in Indonesia. The traditional inoculum in fermentation locally is known as Usar which is made from the leaves of Hibiscus tiliaceus. However, Rhizopus information from Usar is still limited. Therefore, this study aims to identify and investigate the genetic diversity of Rhizopus species from Usar and tempeh based on the Internal Transcribed Spacer (ITS) sequence and the Random Amplified Polymorphic DNA (RAPD) markers. Twenty-three Rhizopus strains were isolated from Usar and ten Rhizopus strains were isolated from tempeh. Based on ITS sequences, the isolates were similar to R Rhizopus microsporus (30 isolates) and Rhizopus delemar (3 isolates) with 98-99% similarity. The genetics of R. microsporus and R. delemar are varied and different from the genetics of R. microsporus from tempeh. The growth temperature of R. microsporus varies from 33 to 48°C and R. delemar can grow to a maximum at 33°C. The role of R. microsporus and R. delemar from Usar in determining the quality of tempeh is still limited. Therefore, it needs to be investigated further.

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