Reliability of morphometric measures for determining the sex of adult and fledgling shy albatrosses, Diomedea cauta cauta, in Australia

1998 ◽  
Vol 25 (1) ◽  
pp. 69 ◽  
Author(s):  
April Hedd ◽  
Rosemary Gales ◽  
Nigel Brothers

Dissection and measurement of the carcasses of shy albatrosses, Diomedea cauta cauta, provided morphometric data from known-sex birds from fledgling age to adulthood. These data were used to determine the efficacy of external measures for reliably identifying the sex of birds in the field. As fledglings were smaller than adults and subadults in all measures, separate age-specific equations were developed for assigning their sex. Sexual dimorphism was evident in all head, beak and leg measurements for the adult and subadult birds, with males being significantly larger than females, while there were no sex differences in measures of the wings and tail. Beak and head measurements, along with the weight of fledglings, were taken, and sex differences were evident for all parameters. A stepwise discriminant function analysis of the seven head and beak measures (head length, head width, basal bill width, culmen length, basal bill depth, minimum bill depth and upper bill depth) indicated that 98% of adult and subadult birds could be correctly sexed by measuring the upper bill depth and head width, whilst the sex of 89% of fledglings could be discerned by measuring head length and width and the minimum bill depth. Discriminant scores overlapped less for adults–subadults than for fledglings, indicating that external measurements may be used more reliably to sex this age-class. Data from three experienced observers indicated significant differences in the morphometric measures taken from the same individual albatrosses. The extent of these differences, however, varied greatly depending on the measure taken (i.e. beak v. wing measures), with head and beak measures showing the least inter-observer differences. Such differences resulted in a decrease in the success rate of the adult–subadult discriminant function analysis from 98 to 90%. When working with breeding birds, sex-allocation errors can be reduced by measuring both members of a pair and allowing the relative size of the discriminant score to identify the individuals concerned.

2020 ◽  
Vol 44 (1) ◽  
Author(s):  
Farrag F. B. Abu-Ellail ◽  
Eman M. A. Hussein ◽  
A. El-Bakry

Abstract Background Selection indices help the plant breeders to discriminate desirable genotypes on the basis of phenotypic performance. Therefore, the present study was conducted to evaluate thirty sugarcane genotypes (clones) along with two check cultivars in two cropping seasons at Mattana Agricultural Research Station. Results The results showed the studied traits observed in all genotypes were significantly different. The results could significantly discriminate between low and high sugar yield genotypes by describing eleven traits including sugar yield (ton/fed), cane yield (ton/fed), number of stalk/m2, stalk weight (kg), stalk height (cm), stalk diameter (cm), number of internodes, Brix %, sucrose %, purity %, and sugar recovery %. High sugar yield genotypes were selected by discriminant analysis. The discriminant score (DS) could explain 79.2% of sugar yield variations and had a significant canonical correlation (0.89**). Results of discriminant function analysis (DFA) indicated that the most important traits, in order of appearance, are stalk weight, stalk height, purity %, Brix%, and cane yields. Conclusions Genotypes, G.2017-43, G.2017-42, G.2017-29, G.2017-33, and G.2017-44, showed the highest values of the discriminant score and were recognized as the highest yielder sugarcane genotypes. While the genotypes named Vis, G.2017-30, G.2017-10, G.2017-27, G.2017-25, G.2017-70, G.2017-41, G.2017-40, G.2017-35, and G.2017-58, recognized as the lowest yielder sugarcane genotypes which represent the lowest values of the discriminant score.


1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.


Diversity ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Long Kim Pham ◽  
Bang Van Tran ◽  
Quy Tan Le ◽  
Trung Thanh Nguyen ◽  
Christian C. Voigt

This study is the first step towards more systematic monitoring of urban bat fauna in Vietnam and other Southeast Asian countries by collecting bat echolocation call parameters in Ho Chi Minh and Tra Vinh cities. We captured urban bats and then recorded echolocation calls after releasing in a tent. Additional bat’s echolocation calls from the free-flying bats were recorded at the site where we captured bat. We used the obtained echolocation call parameters for a discriminant function analysis to test the accuracy of classifying these species based on their echolocation call parameters. Data from this pilot work revealed a low level of diversity for the studied bat assemblages. Additionally, the discriminant function analysis successfully classified bats to four bat species with an accuracy of >87.4%. On average, species assignments were correct for all calls from Taphozous melanopogon (100% success rate), for 70% of calls from Pipistrellus javanicus, for 80.8% of calls from Myotis hasseltii and 67.3% of calls from Scotophilus kuhlii. Our study comprises the first quantitative description of echolocation call parameters for urban bats of Vietnam. The success in classifying urban bats based on their echolocation call parameters provides a promising baseline for monitoring the effect of urbanization on bat assemblages in Vietnam and potentially also other Southeast Asian countries.


2012 ◽  
Vol 60 (4) ◽  
pp. 387-404 ◽  
Author(s):  
Mohamed Agha ◽  
Ray E. Ferrell ◽  
George F. Hart

1986 ◽  
Vol 23 (6) ◽  
pp. 804-812 ◽  
Author(s):  
A. B. Beaudoin ◽  
R. H. King

The magnetite composition from three sets of samples of Mazama, St. Helens set Y, and Bridge River tephras from Jasper and Banff national parks are used to test whether discriminant function analysis can unambiguously distinguish these tephras. The multivariate method is found to be very sensitive to the change in reference samples. St. Helens set Y tephra is clearly distinguished. However, discrimination between Mazama and Bridge River tephras is less distinct. A set of unknown tephras from the Sunwapta Pass area was used to test the classification schemes. Unknown tephras are assigned to different tephra types depending on which reference tephra set is used in the discriminant function analysis.


1967 ◽  
Vol 25 (2) ◽  
pp. 421-436
Author(s):  
Rayman W. Bortner

When statements of formal eligibility requirements fail to account for the characteristics of institutional populations, there is a tendency to resort to speculative explanations. This study examined some methods for empirical evaluations of these speculative notions. Univariate and step-down analyses did not aid in conceptualizing informal selection processes in this study; a discriminant function analysis seemed to provide an adequate approach to a synthesis. The method was illustrated by examining definable subsamples in a VA domiciliary which were compared with a non-institutional, community sample; means of the standardization samples for the tests used provided additional reference points for comparison. For these particular subsamples from this institution, alterations in self concept appeared to provide the single unifying theme which best integrated the diverse differences among the groups.


1982 ◽  
Vol 141 (1) ◽  
pp. 37-44 ◽  
Author(s):  
D. J. Pallis ◽  
A. B. Levey ◽  
J. S. Jenkins ◽  
P. Sainsbury ◽  
B. M. Barraclough

SummaryA discriminant function analysis was carried out to separate a sample of 75 suicides from a sample of 146 attempted suicides, on which comprehensive clinical and social data were recorded on an identical schedule. Two sets of discriminating items (with 18 and 6 variables) correctly classified 91 per cent and 83 per cent of the two samples in their respective groups. The results provide a basis for examining the usefulness of these variables as predictors of future suicide in people who have attempted suicide.


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