660 PB 072 IDENTIFICATION OF GENETIC VARIABILITY AMONG SPECIES AND CULTIVARS OF PENSTEMON USING RANDOM AMPLIFIED POLYMORPHIC DNA (RAPDS)

Eight species and 57 selections/cultivars of Penstemon were compared for genetic variability using Random Amplified Polymorphic DNAs (RAPDs). The RAPD technique was used to help understand the genetic relationships in species and cultivars in the genus Penstemon. Ten RAPD primers (from Operon) were screened to identify polymorphisms among these eight species and 57 selections. More than 100 RAPD polymorphic bands were obtained. A principle component analysis was used to study genetic relationships. Variation among species was greater than variation among selections/cultivars within species. RAPD markers distinguished differences between most cultivars tested. DNA fingerprints generated by RAPDs should be useful to distinguish cultivars of Penstemon, as well as to assist in determining genetic relationships between species.

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Genetic characterization of the Moxotó goat breed using RAPD markers

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2005000300006 ◽

2005 ◽

Vol 40 (3) ◽

pp. 233-239 ◽

Cited By ~ 12

Author(s):

Rejane Rodrigues de Oliveira ◽

Andréa Alves do Egito ◽

Maria Norma Ribeiro ◽

Samuel Rezende Paiva ◽

Maria do Socorro Maués Albuquerque ◽

...

Keyword(s):

Genetic Variability ◽

Rapd Markers ◽

Genetic Characterization ◽

Random Amplified Polymorphic Dna ◽

Genetic Distances ◽

Goat Breed ◽

Breeding Programs ◽

Analysis Of Molecular Variance ◽

Polymorphic Bands

The objective of this study was to verify the genetic diversity between and within seven populations of Moxotó goat (n = 264) from the States of Pernambuco, Paraíba and Rio Grande do Norte, using RAPD (Random Amplified Polymorphic DNA). Moxotó, as well as other naturalized breeds, suffers genetic losses due to the indiscriminate miscegenation with breeds raised in the Northeast Region of Brazil. The genetic characterization of these genetic resources is essential to conservation and breeding programs. DNA was extracted from lymphocytes using a non-organic protocol. The 16 primers used were selected from 120 decamer oligonucleotide primers and generated 56 polymorphic bands. The analysis of molecular variance (AMOVA) showed that the greater part of total genetic variability (71.55%) was due to differences between individuals within populations, while 21.21% was among populations. The analysis of variance among the pairs of populations demonstrated that the populations located in Floresta, PE x Angicos, RN presented a smaller value of intrapopulational differentiation (8.9%), indicating low genetic variability among them. Nei's genetic distances varied between 0.0546 and 0.1868 in the populations. The dendrogram generated showed that the Canindé breed, used as outgroup, clustered with the populations of Moxotó, indicating a possible common origin of the naturalized goat breeds.

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ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

Recent Patents on Computer Science ◽

10.2174/2213275912666190819113541 ◽

2019 ◽

Vol 12 ◽

Cited By ~ 1

Author(s):

Basavaraj N Hiremath ◽

Malini M Patilb

Keyword(s):

Feature Extraction ◽

Computer Program ◽

Principle Component Analysis ◽

Voice Recognition ◽

Component Analysis ◽

Recognition System ◽

Principle Component ◽

Whole Process ◽

The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

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Four challenges for cognitive neuroscience and the cortico-hippocampal division of memory

Behavioral and Brain Sciences ◽

10.1017/s0140525x03370153 ◽

2003 ◽

Vol 26 (6) ◽

pp. 681-682

Author(s):

Harry Howard

Keyword(s):

Independent Component Analysis ◽

Recent Work ◽

Cognitive Neuroscience ◽

Principle Component Analysis ◽

Pattern Analysis ◽

Component Analysis ◽

Independent Component ◽

Principle Component ◽

Complementary Methods ◽

Current State

Jackendoff's criticisms of the current state of theorization in cognitive neuroscience are defused by recent work on the computational complementarity of the hippocampus and neocortex. Such considerations lead to a grounding of Jackendoff's processing model in the complementary methods of pattern analysis effected by independent component analysis (ICA) and principle component analysis (PCA).

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