000 02415cam  2200361zi 4500
0019.862566
003CaOODSP
00520221107161042
006m     o  d f      
007cr |||||||||||
008181001s20182019nfc     o    f000 0 eng d
020 |a9780660279718
040 |aCaOODSP|beng|erda|cCaOODSP
041 |aeng|bfre
043 |an-cn-nf
0861 |aFs97-6/3275E-PDF
1001 |aMurray, Harry M.|q(Harry Michael),|d1966- |eauthor.
24512|aA comparison of ArcGIS and Image J software tools for calculation of gonad volume fraction (GVF) from histological sections of blue mussel cultured in deep and shallow sites on the northeast coast of Newfoundland / |cby Harry M. Murray and L. M. Neil Ollerhead.
264 1|aSt. John's, NL : |bFisheries and Oceans Canada, |c2018.
264 4|c©2019
300 |a1 online resource (vi, 17 pages) : |bfigures.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aCanadian technical report of fisheries and aquatic sciences, |x1488-5379 ; |v3275
504 |aIncludes bibliographical references.
520 |a"The stereological determination of reproductive indices in bivalve shellfish is accepted as standard and is a reflection of changes in gonadal development and thus can be predictive of spawning activity and industry meat yield. The measurement of gonadal characteristics associated with calculation of the above indices has been traditionally limited to small sample number due to the time and effort involved in making individual measurements. The evaluation of larger sample sizes would be beneficial as it is more representative of the population of interest. In the current paper we have applied tools from ArcGIS software (ArcGIS, 2016) designed for spatial analysis to measure histological features from photomicrographs of bivalve mantle and applied these to the calculation of reproductive indices like gonad volume fraction"--Abstract.
546 |aIncludes abstract in French.
69207|2gccst|aMolluscs
7001 |aOllerhead, L. M. N., |eauthor.
7101 |aCanada. |bDepartment of Fisheries and Oceans.
830#0|aCanadian technical report of fisheries and aquatic sciences,|x1488-5379 ; |v3275|w(CaOODSP)9.504449
85640|qPDF|s1.08 MB|uhttps://publications.gc.ca/collections/collection_2019/mpo-dfo/Fs97-6-3275-eng.pdf