000110788 001__ 110788
000110788 005__ 20240319080948.0
000110788 0247_ $$2doi$$a10.3390/biology11020261
000110788 0248_ $$2sideral$$a127642
000110788 037__ $$aART-2022-127642
000110788 041__ $$aeng
000110788 100__ $$0(orcid)0000-0003-3929-5064$$aCarvajal Serna, M.$$uUniversidad de Zaragoza
000110788 245__ $$aTesticular ultrasound analysis as a predictive tool of ram sperm quality
000110788 260__ $$c2022
000110788 5060_ $$aAccess copy available to the general public$$fUnrestricted
000110788 5203_ $$aesticular ultrasound is a non-invasive technique that could be very useful for predicting ram seminal quality. Recent software developments allow macroscopic and microscopic evaluation of testicular parenchyma. Thus, the aim of this study was to evaluate the testicular echotexture using ultrasound-video analysis and investigate its possible correlation with semen quality. Nine rams were evaluated for one year using a portable ultrasound scanner and the echotexture was analyzed with ECOTEXT® software. The number of black (Ec1), white (Ec2), and grey pixels (Ec3), tubular density (TD), lumen area (LA), and lumen diameter (LD) were analyzed. Semen was collected by an artificial vagina the same day and the sperm concentration, morphology, motility, viability, phosphatidylserine (PS) translocation, reactive-oxygen-species (ROS) levels, DNA damage and capacitation state were evaluated. Ec2 and Ec3 correlated positively with “bad quality” sperm parameters (the percentage of spermatozoa with high ROS levels, with PS translocation and proximal cytoplasmic droplets), and negatively with motility. In contrast, TD and LA showed a positive correlation with “good quality” parameters (motility or normal morphology) and a negative correlation with spermatozoa with high ROS levels, with DNA fragmentation, and proximal or distal cytoplasmic droplets. Thus, echotexture analysis by ultrasound-video analysis could be a valuable tool for assessing ram fertility.
000110788 536__ $$9info:eu-repo/grantAgreement/ES/CICYT-FEDER/AGL2017-83799-R$$9info:eu-repo/grantAgreement/ES/DGA/A07-17R$$9info:eu-repo/grantAgreement/ES/MICINN/PRE2018-085198
000110788 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000110788 590__ $$a4.2$$b2022
000110788 592__ $$a0.779$$b2022
000110788 591__ $$aBIOLOGY$$b25 / 92 = 0.272$$c2022$$dQ2$$eT1
000110788 593__ $$aAgricultural and Biological Sciences (miscellaneous)$$c2022$$dQ1
000110788 593__ $$aImmunology and Microbiology (miscellaneous)$$c2022$$dQ2
000110788 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2022$$dQ2
000110788 594__ $$a4.0$$b2022
000110788 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000110788 700__ $$0(orcid)0000-0001-6733-9373$$aMiguel Jiménez, S.$$uUniversidad de Zaragoza
000110788 700__ $$0(orcid)0000-0002-2312-6402$$aPérez Pe, R.$$uUniversidad de Zaragoza
000110788 700__ $$0(orcid)0000-0003-1997-4262$$aCasao, A.$$uUniversidad de Zaragoza
000110788 7102_ $$11002$$2819$$aUniversidad de Zaragoza$$bDpto. Bioq.Biolog.Mol. Celular$$cÁrea Zoología
000110788 773__ $$g11, 2 (2022), 261 [18 pp.]$$tBiology$$x2079-7737
000110788 8564_ $$s971625$$uhttps://zaguan.unizar.es/record/110788/files/texto_completo.pdf$$yVersión publicada
000110788 8564_ $$s2609058$$uhttps://zaguan.unizar.es/record/110788/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000110788 909CO $$ooai:zaguan.unizar.es:110788$$particulos$$pdriver
000110788 951__ $$a2024-03-18-12:47:57
000110788 980__ $$aARTICLE