| Title |
A multivariate morphometric investigation to delineate stock structure of gangetic whiting, Sillaginopsis panijus (Teleostei: Sillaginidae)
|
|---|---|
| Published in |
SpringerPlus, April 2016
|
| DOI | 10.1186/s40064-016-2143-3 |
| Pubmed ID | |
| Authors |
Muhammad Abu Bakar Siddik, Md. Abu Hanif, Md. Reaz Chaklader, Ashfaqun Nahar, Ravi Fotedar |
| Abstract |
This study was conducted to delineate the stock structure of Sillaginopsis paniijus based on morphometric characters of the species. A total of 194 specimens were collected from the Meghna, Tentulia and Baleswar rivers located in the southern coastal zone of Bangladesh. Data were subjected to univariate ANOVA, multivariate ANOVA, discriminate function analysis (DFA), and principal component analysis. Mean variations of ten morphometric characters; HD, HBD, LBD, PsOL, ED, SnL, SPrDL, HAF, LSDB and LPB showed significant differences (p < 0.05) among 27 morphometric traits that were selected for the study. In DFA, the overall assignments of individuals into their correctly classified original groups were 71.1 and 70.6 % for male and female, respectively. A scatter plot of the first two discriminant functions was used to visually depict the discrimination among the populations. The results showed different stocks of S. panijus in the rivers of Baleswar, Tentulia and Meghna in southwest coast of Bangladesh. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 8 | 18% |
| Student > Master | 7 | 16% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Environmental Science | 6 | 13% |
| Engineering | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 27% |