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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
16/09/2014 |
Actualizado : |
23/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; VAN RADEN, P.M.; LAWLOR, T.J. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Methods to approximate reliabilities in single-step genomic evaluation. |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
Journal of Dairy Science, 2013, v.96, no.1, p.647-654. OPEN ACCESS. |
ISSN : |
0022-0302 |
DOI : |
10.3168/jds.2012-5656 |
Idioma : |
Inglés |
Notas : |
Article history: Received April 24, 2012. / Accepted September 18, 2012. |
Contenido : |
ABSTRACT.
Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by matrix inversion, but that is not feasible for large data sets. Two methods of approximating reliability were developed based on the decomposition of a function of reliability into contributions from records, pedigrees, and genotypes. Those contributions can be expressed in record or daughter equivalents. The first approximation method involved inversion of a matrix that contains inverses of the genomic relationship matrix and the pedigree relationship matrix for genotyped animals. The second approximation method involved only the diagonal elements of those inverses. The 2 approximation methods were tested with a simulated data set. The correlations between ssGBLUP and approximated contributions from genomic information were 0.92 for the first approximation method and 0.56 for the second approximation method; contributions were inflated by 62 and 258%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After empirical correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible for populations with up to 100,000 genotyped animals. A critical part of the approximations is quality control of information from single nucleotide polymorphisms and proper scaling of the genomic relationship matrix.
© 2013 American Dairy Science Association. |
Thesagro : |
GENETICA ANIMAL; MEJORAMIENTO GENETICO ANIMAL; MÉTODOS ESTADÍSTICOS. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/3143/1/Aguilar-J.-2013.-Jr.Dairy-Sci.-v.961-p.647-654.pdf
http://www.journalofdairyscience.org/article/S0022-0302(12)00802-8/pdf
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Marc : |
LEADER 02299naa a2200253 a 4500 001 1050289 005 2019-10-23 008 2013 bl uuuu u00u1 u #d 022 $a0022-0302 024 7 $a10.3168/jds.2012-5656$2DOI 100 1 $aMISZTAL, I. 245 $aMethods to approximate reliabilities in single-step genomic evaluation.$h[electronic resource] 260 $c2013 500 $aArticle history: Received April 24, 2012. / Accepted September 18, 2012. 520 $aABSTRACT. Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by matrix inversion, but that is not feasible for large data sets. Two methods of approximating reliability were developed based on the decomposition of a function of reliability into contributions from records, pedigrees, and genotypes. Those contributions can be expressed in record or daughter equivalents. The first approximation method involved inversion of a matrix that contains inverses of the genomic relationship matrix and the pedigree relationship matrix for genotyped animals. The second approximation method involved only the diagonal elements of those inverses. The 2 approximation methods were tested with a simulated data set. The correlations between ssGBLUP and approximated contributions from genomic information were 0.92 for the first approximation method and 0.56 for the second approximation method; contributions were inflated by 62 and 258%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After empirical correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible for populations with up to 100,000 genotyped animals. A critical part of the approximations is quality control of information from single nucleotide polymorphisms and proper scaling of the genomic relationship matrix. © 2013 American Dairy Science Association. 650 $aGENETICA ANIMAL 650 $aMEJORAMIENTO GENETICO ANIMAL 650 $aMÉTODOS ESTADÍSTICOS 700 1 $aTSURUTA, S. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aVAN RADEN, P.M. 700 1 $aLAWLOR, T.J. 773 $tJournal of Dairy Science, 2013$gv.96, no.1, p.647-654. OPEN ACCESS.
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Registro original : |
INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
14/03/2017 |
Actualizado : |
05/06/2018 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
GÓMEZ, A.; CARBAJAL, G.; FUENTES, M.; VIÑOLES, C. |
Afiliación : |
ÁLVARO GÓMEZ; GUILLERMO CARBAJAL; MAGDALENA FUENTES; CAROLINA VIÑOLES GIL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Detection of follicles in ultrasound videos of bovine ovaries. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: Beltrán-Castañón C.; Nyström I.; Famili F. (eds.). Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Lecture Notes in Computer Science, vol 10125. Springer, Cham, 2017. |
Páginas : |
p. 352-359 |
DOI : |
10.1007/978-3-319-52277-7_43 |
Idioma : |
Inglés |
Contenido : |
Ultrasound imaging is a veterinarian standard procedure for the monitoring of ovarian structures in cattle. Recent studies, suggest that the number of antral follicles can give a cue of the future fertility of a specimen. Therefore, there has been a growing interest in counting the number of antral follicles at early stages in life.
In the most typical procedure, the operator performs a trans-rectal ultrasound scan and counts the follicles on the live video that is seen in the ultrasound machine. This is a challenging task and requires highly trained experts that can reliably detect and count the follicles in a quick sweep of a few seconds.
This work presents the integration of several signal processing techniques to the problem of automatically detecting follicles in ultrasound videos of bovine cattle ovaries. The approach starts from an ultrasound video that traverses the ovary from end to end. Putative follicle regions are detected on each frame with a cascade of boosted classifiers. In order to impose temporal coherence, the detections are tracked across the frames with multiple Kalman filters. The tracks are analyzed to separate follicle detections from other false detections.
The method is tested on a phantom dataset of ovaries in gelatin with dissection ground truth. Results are promising and encourage further extension to in-vivo ultrasound videos.
© Springer International Publishing AG 2017. |
Palabras claves : |
CASCADE CLASSIFIER; FOLLICLE DETECTION; MULTITRACKING. |
Thesagro : |
ECOGRAFIA; ULTRASONIDO. |
Asunto categoría : |
L53 Fisiología Animal - Reproducción |
Marc : |
LEADER 02272naa a2200241 a 4500 001 1056832 005 2018-06-05 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1007/978-3-319-52277-7_43$2DOI 100 1 $aGÓMEZ, A. 245 $aDetection of follicles in ultrasound videos of bovine ovaries.$h[electronic resource] 260 $c2017 300 $ap. 352-359 520 $aUltrasound imaging is a veterinarian standard procedure for the monitoring of ovarian structures in cattle. Recent studies, suggest that the number of antral follicles can give a cue of the future fertility of a specimen. Therefore, there has been a growing interest in counting the number of antral follicles at early stages in life. In the most typical procedure, the operator performs a trans-rectal ultrasound scan and counts the follicles on the live video that is seen in the ultrasound machine. This is a challenging task and requires highly trained experts that can reliably detect and count the follicles in a quick sweep of a few seconds. This work presents the integration of several signal processing techniques to the problem of automatically detecting follicles in ultrasound videos of bovine cattle ovaries. The approach starts from an ultrasound video that traverses the ovary from end to end. Putative follicle regions are detected on each frame with a cascade of boosted classifiers. In order to impose temporal coherence, the detections are tracked across the frames with multiple Kalman filters. The tracks are analyzed to separate follicle detections from other false detections. The method is tested on a phantom dataset of ovaries in gelatin with dissection ground truth. Results are promising and encourage further extension to in-vivo ultrasound videos. © Springer International Publishing AG 2017. 650 $aECOGRAFIA 650 $aULTRASONIDO 653 $aCASCADE CLASSIFIER 653 $aFOLLICLE DETECTION 653 $aMULTITRACKING 700 1 $aCARBAJAL, G. 700 1 $aFUENTES, M. 700 1 $aVIÑOLES, C. 773 $tIn: Beltrán-Castañón C.; Nyström I.; Famili F. (eds.). Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Lecture Notes in Computer Science, vol 10125. Springer, Cham, 2017.
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