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You searched for subject:(Genomic selection). Showing records 1 – 30 of 118 total matches.

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University of Georgia

1. Hay, El Hamidi Abdel. Genomic selection in genetically heterogeneous populations.

Degree: PhD, Animal and Dairy Science, 2014, University of Georgia

 In Livestock applications, genome wide association studies and genomic selection are regularly conducted using purebred populations. Estimation and often validation of SNP are carried out… (more)

Subjects/Keywords: Genomic selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hay, E. H. A. (2014). Genomic selection in genetically heterogeneous populations. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/hay_el-hamidi_a_201412_phd

Chicago Manual of Style (16th Edition):

Hay, El Hamidi Abdel. “Genomic selection in genetically heterogeneous populations.” 2014. Doctoral Dissertation, University of Georgia. Accessed October 13, 2019. http://purl.galileo.usg.edu/uga_etd/hay_el-hamidi_a_201412_phd.

MLA Handbook (7th Edition):

Hay, El Hamidi Abdel. “Genomic selection in genetically heterogeneous populations.” 2014. Web. 13 Oct 2019.

Vancouver:

Hay EHA. Genomic selection in genetically heterogeneous populations. [Internet] [Doctoral dissertation]. University of Georgia; 2014. [cited 2019 Oct 13]. Available from: http://purl.galileo.usg.edu/uga_etd/hay_el-hamidi_a_201412_phd.

Council of Science Editors:

Hay EHA. Genomic selection in genetically heterogeneous populations. [Doctoral Dissertation]. University of Georgia; 2014. Available from: http://purl.galileo.usg.edu/uga_etd/hay_el-hamidi_a_201412_phd

2. AROJJU, SAI KRISHNA. Application of genomic tools for Irish pasture improvement.

Degree: School of Natural Sciences. Discipline of Botany, 2018, Trinity College Dublin

 The conventional way to improve populations in perennial ryegrass (Lolium perenne), the most important forage grass in Ireland, is through recurrent selection. However, despite breeding… (more)

Subjects/Keywords: Genomic Selection

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APA (6th Edition):

AROJJU, S. K. (2018). Application of genomic tools for Irish pasture improvement. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/82734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

AROJJU, SAI KRISHNA. “Application of genomic tools for Irish pasture improvement.” 2018. Thesis, Trinity College Dublin. Accessed October 13, 2019. http://hdl.handle.net/2262/82734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

AROJJU, SAI KRISHNA. “Application of genomic tools for Irish pasture improvement.” 2018. Web. 13 Oct 2019.

Vancouver:

AROJJU SK. Application of genomic tools for Irish pasture improvement. [Internet] [Thesis]. Trinity College Dublin; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2262/82734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

AROJJU SK. Application of genomic tools for Irish pasture improvement. [Thesis]. Trinity College Dublin; 2018. Available from: http://hdl.handle.net/2262/82734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

3. Vikram, Vikas. Implementing association mapping and genomic selection using germplasm from Midwest barley breeding programs.

Degree: PhD, Applied Plant Sciences, 2014, University of Minnesota

 Given the stringent requirements set by the malting and brewing industries and the complex nature of traits, marker based breeding will become increasingly important for… (more)

Subjects/Keywords: Barley; Genomic selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vikram, V. (2014). Implementing association mapping and genomic selection using germplasm from Midwest barley breeding programs. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162696

Chicago Manual of Style (16th Edition):

Vikram, Vikas. “Implementing association mapping and genomic selection using germplasm from Midwest barley breeding programs.” 2014. Doctoral Dissertation, University of Minnesota. Accessed October 13, 2019. http://hdl.handle.net/11299/162696.

MLA Handbook (7th Edition):

Vikram, Vikas. “Implementing association mapping and genomic selection using germplasm from Midwest barley breeding programs.” 2014. Web. 13 Oct 2019.

Vancouver:

Vikram V. Implementing association mapping and genomic selection using germplasm from Midwest barley breeding programs. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/11299/162696.

Council of Science Editors:

Vikram V. Implementing association mapping and genomic selection using germplasm from Midwest barley breeding programs. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/162696


University of Alberta

4. Xu, Jiaofen. Bagging E-Bayes for Estimated Breeding Value Prediction.

Degree: MS, Department of Computing Science, 2009, University of Alberta

 This work focuses on the evaluation of a bagging EB method in terms of its ability to select a subset of QTL-related markers for accurate… (more)

Subjects/Keywords: Genomic Selection; QTL Mapping

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APA (6th Edition):

Xu, J. (2009). Bagging E-Bayes for Estimated Breeding Value Prediction. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/mk61rj35r

Chicago Manual of Style (16th Edition):

Xu, Jiaofen. “Bagging E-Bayes for Estimated Breeding Value Prediction.” 2009. Masters Thesis, University of Alberta. Accessed October 13, 2019. https://era.library.ualberta.ca/files/mk61rj35r.

MLA Handbook (7th Edition):

Xu, Jiaofen. “Bagging E-Bayes for Estimated Breeding Value Prediction.” 2009. Web. 13 Oct 2019.

Vancouver:

Xu J. Bagging E-Bayes for Estimated Breeding Value Prediction. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2019 Oct 13]. Available from: https://era.library.ualberta.ca/files/mk61rj35r.

Council of Science Editors:

Xu J. Bagging E-Bayes for Estimated Breeding Value Prediction. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/mk61rj35r


Cornell University

5. Isidro Sanchez, Julio. Training Set Optimization Under Population Structure In Genomic Selection .

Degree: 2015, Cornell University

 The optimization of the training set (TRS) in genomic selection has received much interest in both animal and plant breeding, because it is critical to… (more)

Subjects/Keywords: Genomic Selection; population structure; wheat

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APA (6th Edition):

Isidro Sanchez, J. (2015). Training Set Optimization Under Population Structure In Genomic Selection . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/39353

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Isidro Sanchez, Julio. “Training Set Optimization Under Population Structure In Genomic Selection .” 2015. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/39353.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Isidro Sanchez, Julio. “Training Set Optimization Under Population Structure In Genomic Selection .” 2015. Web. 13 Oct 2019.

Vancouver:

Isidro Sanchez J. Training Set Optimization Under Population Structure In Genomic Selection . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/39353.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Isidro Sanchez J. Training Set Optimization Under Population Structure In Genomic Selection . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39353

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

6. Verbyla, Klara. Aspects of statistical modelling for genomic selection.

Degree: 2010, University of Melbourne

 The research reported in this thesis investigated aspects of statistical models used for genomic selection. The importance of, and, interest in genomic selection is driven… (more)

Subjects/Keywords: genomic selection; statistics; Bayesian; genetics

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APA (6th Edition):

Verbyla, K. (2010). Aspects of statistical modelling for genomic selection. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/35654

Chicago Manual of Style (16th Edition):

Verbyla, Klara. “Aspects of statistical modelling for genomic selection.” 2010. Doctoral Dissertation, University of Melbourne. Accessed October 13, 2019. http://hdl.handle.net/11343/35654.

MLA Handbook (7th Edition):

Verbyla, Klara. “Aspects of statistical modelling for genomic selection.” 2010. Web. 13 Oct 2019.

Vancouver:

Verbyla K. Aspects of statistical modelling for genomic selection. [Internet] [Doctoral dissertation]. University of Melbourne; 2010. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/11343/35654.

Council of Science Editors:

Verbyla K. Aspects of statistical modelling for genomic selection. [Doctoral Dissertation]. University of Melbourne; 2010. Available from: http://hdl.handle.net/11343/35654


University of Guelph

7. Hemingway, Joel. Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed .

Degree: 2019, University of Guelph

 Soybean (Glycine max [L.] Merrill) oil is an economically important commodity worldwide with many uses. High levels of polyunsaturated fatty acids cause oxidative instability of… (more)

Subjects/Keywords: Soybean; High Oleic; genomic selection

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APA (6th Edition):

Hemingway, J. (2019). Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/15068

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hemingway, Joel. “Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed .” 2019. Thesis, University of Guelph. Accessed October 13, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/15068.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hemingway, Joel. “Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed .” 2019. Web. 13 Oct 2019.

Vancouver:

Hemingway J. Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed . [Internet] [Thesis]. University of Guelph; 2019. [cited 2019 Oct 13]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/15068.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hemingway J. Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed . [Thesis]. University of Guelph; 2019. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/15068

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Tribout, Thierry. Intérêt de la sélection génomique dans les programmes de sélection porcins : cas d'une lignée mâle de grande taille : Interest of genomic selection in a pig sire line breeding scheme.

Degree: Docteur es, Génétique Animale, 2013, Paris, AgroParisTech

 L'objectif de ce travail de thèse était d'évaluer l'intérêt de mettre en place des évaluations génomiques dans les programmes de sélection porcins. Des simulations stochastiques… (more)

Subjects/Keywords: Porc; Selection; Selection genomique; Pig; Selection; Genomic selection; 636.0821

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APA (6th Edition):

Tribout, T. (2013). Intérêt de la sélection génomique dans les programmes de sélection porcins : cas d'une lignée mâle de grande taille : Interest of genomic selection in a pig sire line breeding scheme. (Doctoral Dissertation). Paris, AgroParisTech. Retrieved from http://www.theses.fr/2013AGPT0054

Chicago Manual of Style (16th Edition):

Tribout, Thierry. “Intérêt de la sélection génomique dans les programmes de sélection porcins : cas d'une lignée mâle de grande taille : Interest of genomic selection in a pig sire line breeding scheme.” 2013. Doctoral Dissertation, Paris, AgroParisTech. Accessed October 13, 2019. http://www.theses.fr/2013AGPT0054.

MLA Handbook (7th Edition):

Tribout, Thierry. “Intérêt de la sélection génomique dans les programmes de sélection porcins : cas d'une lignée mâle de grande taille : Interest of genomic selection in a pig sire line breeding scheme.” 2013. Web. 13 Oct 2019.

Vancouver:

Tribout T. Intérêt de la sélection génomique dans les programmes de sélection porcins : cas d'une lignée mâle de grande taille : Interest of genomic selection in a pig sire line breeding scheme. [Internet] [Doctoral dissertation]. Paris, AgroParisTech; 2013. [cited 2019 Oct 13]. Available from: http://www.theses.fr/2013AGPT0054.

Council of Science Editors:

Tribout T. Intérêt de la sélection génomique dans les programmes de sélection porcins : cas d'une lignée mâle de grande taille : Interest of genomic selection in a pig sire line breeding scheme. [Doctoral Dissertation]. Paris, AgroParisTech; 2013. Available from: http://www.theses.fr/2013AGPT0054


Cornell University

9. Heslot, Nicolas Didier. Optimal Use Of Phenotypic Data For Breeding Using Genomic Predictions .

Degree: 2014, Cornell University

Genomic predictions or genomic selection (GS) was proposed to overcome a number of challenges in application of marker assisted selection to complex quantitative traits. Simulations… (more)

Subjects/Keywords: genomic selection; genotype by environment interactions; genomic predictions

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APA (6th Edition):

Heslot, N. D. (2014). Optimal Use Of Phenotypic Data For Breeding Using Genomic Predictions . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/36138

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heslot, Nicolas Didier. “Optimal Use Of Phenotypic Data For Breeding Using Genomic Predictions .” 2014. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/36138.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heslot, Nicolas Didier. “Optimal Use Of Phenotypic Data For Breeding Using Genomic Predictions .” 2014. Web. 13 Oct 2019.

Vancouver:

Heslot ND. Optimal Use Of Phenotypic Data For Breeding Using Genomic Predictions . [Internet] [Thesis]. Cornell University; 2014. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/36138.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heslot ND. Optimal Use Of Phenotypic Data For Breeding Using Genomic Predictions . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36138

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

10. Todd, Darren Lindsay. Implementation of genomic selection in UK beef and sheep breeding.

Degree: PhD, 2013, University of Edinburgh

Genomic selection (GS) has been adopted by the dairy cattle breeding industry and the opportunity exists to implement this technology in UK beef and sheep… (more)

Subjects/Keywords: 636.2; Genomic selection; Cattle breeding; Sheep breeding

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APA (6th Edition):

Todd, D. L. (2013). Implementation of genomic selection in UK beef and sheep breeding. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8766

Chicago Manual of Style (16th Edition):

Todd, Darren Lindsay. “Implementation of genomic selection in UK beef and sheep breeding.” 2013. Doctoral Dissertation, University of Edinburgh. Accessed October 13, 2019. http://hdl.handle.net/1842/8766.

MLA Handbook (7th Edition):

Todd, Darren Lindsay. “Implementation of genomic selection in UK beef and sheep breeding.” 2013. Web. 13 Oct 2019.

Vancouver:

Todd DL. Implementation of genomic selection in UK beef and sheep breeding. [Internet] [Doctoral dissertation]. University of Edinburgh; 2013. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1842/8766.

Council of Science Editors:

Todd DL. Implementation of genomic selection in UK beef and sheep breeding. [Doctoral Dissertation]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8766


University of Georgia

11. Bradford, Heather Lynn. Region-specific analyses of beef cattle growth and implementation of single-step genomic blup with many genotyped animals.

Degree: PhD, Animal Science, 2017, University of Georgia

 Beef cattle are raised in a wide range of environmental conditions in the United States. Producers use calving seasons to help match the cows’ nutritional… (more)

Subjects/Keywords: genomic selection; heat stress; single-step GBLUP

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APA (6th Edition):

Bradford, H. L. (2017). Region-specific analyses of beef cattle growth and implementation of single-step genomic blup with many genotyped animals. (Doctoral Dissertation). University of Georgia. Retrieved from http://hdl.handle.net/10724/37629

Chicago Manual of Style (16th Edition):

Bradford, Heather Lynn. “Region-specific analyses of beef cattle growth and implementation of single-step genomic blup with many genotyped animals.” 2017. Doctoral Dissertation, University of Georgia. Accessed October 13, 2019. http://hdl.handle.net/10724/37629.

MLA Handbook (7th Edition):

Bradford, Heather Lynn. “Region-specific analyses of beef cattle growth and implementation of single-step genomic blup with many genotyped animals.” 2017. Web. 13 Oct 2019.

Vancouver:

Bradford HL. Region-specific analyses of beef cattle growth and implementation of single-step genomic blup with many genotyped animals. [Internet] [Doctoral dissertation]. University of Georgia; 2017. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10724/37629.

Council of Science Editors:

Bradford HL. Region-specific analyses of beef cattle growth and implementation of single-step genomic blup with many genotyped animals. [Doctoral Dissertation]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37629


University of Edinburgh

12. Brown, Alexandra. Across breed genomic evaluation in cattle.

Degree: PhD, 2017, University of Edinburgh

Genomic evaluation techniques have been a huge success in the dairy cattle industry, as they allow accurate enough estimation of breeding values at a young… (more)

Subjects/Keywords: 636.2; genomic selection; cattle; dairy; across breed

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APA (6th Edition):

Brown, A. (2017). Across breed genomic evaluation in cattle. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/23593

Chicago Manual of Style (16th Edition):

Brown, Alexandra. “Across breed genomic evaluation in cattle.” 2017. Doctoral Dissertation, University of Edinburgh. Accessed October 13, 2019. http://hdl.handle.net/1842/23593.

MLA Handbook (7th Edition):

Brown, Alexandra. “Across breed genomic evaluation in cattle.” 2017. Web. 13 Oct 2019.

Vancouver:

Brown A. Across breed genomic evaluation in cattle. [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1842/23593.

Council of Science Editors:

Brown A. Across breed genomic evaluation in cattle. [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/23593


University of Edinburgh

13. Howard, David Mark. Managing genomic diversity in the course of selection.

Degree: PhD, 2016, University of Edinburgh

 The management of genomic diversity is important within breeding programs and is primarily achieved through controlling the rate of inbreeding. A failure to adequately manage… (more)

Subjects/Keywords: genetic diversity; Optimal Contributions; porcine; genomic selection

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APA (6th Edition):

Howard, D. M. (2016). Managing genomic diversity in the course of selection. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/25901

Chicago Manual of Style (16th Edition):

Howard, David Mark. “Managing genomic diversity in the course of selection.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed October 13, 2019. http://hdl.handle.net/1842/25901.

MLA Handbook (7th Edition):

Howard, David Mark. “Managing genomic diversity in the course of selection.” 2016. Web. 13 Oct 2019.

Vancouver:

Howard DM. Managing genomic diversity in the course of selection. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1842/25901.

Council of Science Editors:

Howard DM. Managing genomic diversity in the course of selection. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/25901

14. Crain, Jared Levi. Leveraging the genomics revolution with high-throughput phenotyping for crop improvement of abiotic stresses.

Degree: PhD, Genetics Interdepartmental Program - Plant Pathology, 2016, Kansas State University

 A major challenge for 21st century plant geneticists is to predict plant performance based on genetic information. This is a daunting challenge, especially when there… (more)

Subjects/Keywords: High-throughput phenotyping; Wheat; Phenomics; Genomic selection

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APA (6th Edition):

Crain, J. L. (2016). Leveraging the genomics revolution with high-throughput phenotyping for crop improvement of abiotic stresses. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/32566

Chicago Manual of Style (16th Edition):

Crain, Jared Levi. “Leveraging the genomics revolution with high-throughput phenotyping for crop improvement of abiotic stresses.” 2016. Doctoral Dissertation, Kansas State University. Accessed October 13, 2019. http://hdl.handle.net/2097/32566.

MLA Handbook (7th Edition):

Crain, Jared Levi. “Leveraging the genomics revolution with high-throughput phenotyping for crop improvement of abiotic stresses.” 2016. Web. 13 Oct 2019.

Vancouver:

Crain JL. Leveraging the genomics revolution with high-throughput phenotyping for crop improvement of abiotic stresses. [Internet] [Doctoral dissertation]. Kansas State University; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2097/32566.

Council of Science Editors:

Crain JL. Leveraging the genomics revolution with high-throughput phenotyping for crop improvement of abiotic stresses. [Doctoral Dissertation]. Kansas State University; 2016. Available from: http://hdl.handle.net/2097/32566


University of Minnesota

15. Tiede, Tyler. Evaluating genomewide marker-based breeding methods in traditional and wild relative-derived barley populations.

Degree: PhD, Applied Plant Sciences, 2016, University of Minnesota

 The genetic improvement of plants for human use is the primary goal of plant breeding. Through repeated processes of population development and selection, breeders have… (more)

Subjects/Keywords: barley; genomewide; genomic selection; plant breeding

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APA (6th Edition):

Tiede, T. (2016). Evaluating genomewide marker-based breeding methods in traditional and wild relative-derived barley populations. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/181675

Chicago Manual of Style (16th Edition):

Tiede, Tyler. “Evaluating genomewide marker-based breeding methods in traditional and wild relative-derived barley populations.” 2016. Doctoral Dissertation, University of Minnesota. Accessed October 13, 2019. http://hdl.handle.net/11299/181675.

MLA Handbook (7th Edition):

Tiede, Tyler. “Evaluating genomewide marker-based breeding methods in traditional and wild relative-derived barley populations.” 2016. Web. 13 Oct 2019.

Vancouver:

Tiede T. Evaluating genomewide marker-based breeding methods in traditional and wild relative-derived barley populations. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/11299/181675.

Council of Science Editors:

Tiede T. Evaluating genomewide marker-based breeding methods in traditional and wild relative-derived barley populations. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/181675


University of Minnesota

16. Sallam, Ahmad Hussein. Assessing genomic selection prediction accuracy in a dynamic barley breeding population and comparing gain between genomic and phenotypic selection in barley.

Degree: PhD, Applied Plant Sciences, 2014, University of Minnesota

 Prediction accuracy of genomic selection has been previously evaluated through simulation and cross-validation; however validation based on progeny performance in a plant breeding program has… (more)

Subjects/Keywords: Association mapping; Genomic selection; Applied plant sciences

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APA (6th Edition):

Sallam, A. H. (2014). Assessing genomic selection prediction accuracy in a dynamic barley breeding population and comparing gain between genomic and phenotypic selection in barley. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/170192

Chicago Manual of Style (16th Edition):

Sallam, Ahmad Hussein. “Assessing genomic selection prediction accuracy in a dynamic barley breeding population and comparing gain between genomic and phenotypic selection in barley.” 2014. Doctoral Dissertation, University of Minnesota. Accessed October 13, 2019. http://hdl.handle.net/11299/170192.

MLA Handbook (7th Edition):

Sallam, Ahmad Hussein. “Assessing genomic selection prediction accuracy in a dynamic barley breeding population and comparing gain between genomic and phenotypic selection in barley.” 2014. Web. 13 Oct 2019.

Vancouver:

Sallam AH. Assessing genomic selection prediction accuracy in a dynamic barley breeding population and comparing gain between genomic and phenotypic selection in barley. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/11299/170192.

Council of Science Editors:

Sallam AH. Assessing genomic selection prediction accuracy in a dynamic barley breeding population and comparing gain between genomic and phenotypic selection in barley. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/170192


Cornell University

17. Lozano Gonzalez del Valle, Roberto Jesus. FUNCTIONAL GENOMICS TO AID GENOMIC PREDICTION MODELS IN CASSAVA .

Degree: 2018, Cornell University

Genomic Prediction (GP) is commonly performed using tens of thousands, even millions of single-nucleotide polymorphism (SNP) markers. Associations among the phenotypes and genotypes of a… (more)

Subjects/Keywords: Genetics; Functional Genomics; Genomic selection; Agriculture

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APA (6th Edition):

Lozano Gonzalez del Valle, R. J. (2018). FUNCTIONAL GENOMICS TO AID GENOMIC PREDICTION MODELS IN CASSAVA . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lozano Gonzalez del Valle, Roberto Jesus. “FUNCTIONAL GENOMICS TO AID GENOMIC PREDICTION MODELS IN CASSAVA .” 2018. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/59500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lozano Gonzalez del Valle, Roberto Jesus. “FUNCTIONAL GENOMICS TO AID GENOMIC PREDICTION MODELS IN CASSAVA .” 2018. Web. 13 Oct 2019.

Vancouver:

Lozano Gonzalez del Valle RJ. FUNCTIONAL GENOMICS TO AID GENOMIC PREDICTION MODELS IN CASSAVA . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/59500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lozano Gonzalez del Valle RJ. FUNCTIONAL GENOMICS TO AID GENOMIC PREDICTION MODELS IN CASSAVA . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Chen, Liuhong. Improving accuracy of genomic prediction in dairy and beef cattle .

Degree: 2013, University of Guelph

 The overall goal of this thesis was to improve the accuracy of genomic prediction in dairy and beef cattle by developing, evaluating and enhancing novel… (more)

Subjects/Keywords: Genomic selection

…xi GENERAL INTRODUCTION Genomic selection has become a new tool for genetic improvement… …throughput genotyping technology. Genomic selection refers to selection for breeding candidates… …predicted by summing up the marker effects. The advantage of genomic selection is that GEBV can be… …2009). In dairy cattle, genomic selection has been implemented in several countries… …usually the cases as in genomic selection. Alternatively, approximation methods, such as maximum… 

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APA (6th Edition):

Chen, L. (2013). Improving accuracy of genomic prediction in dairy and beef cattle . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/6596

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Liuhong. “Improving accuracy of genomic prediction in dairy and beef cattle .” 2013. Thesis, University of Guelph. Accessed October 13, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/6596.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Liuhong. “Improving accuracy of genomic prediction in dairy and beef cattle .” 2013. Web. 13 Oct 2019.

Vancouver:

Chen L. Improving accuracy of genomic prediction in dairy and beef cattle . [Internet] [Thesis]. University of Guelph; 2013. [cited 2019 Oct 13]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/6596.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen L. Improving accuracy of genomic prediction in dairy and beef cattle . [Thesis]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/6596

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Australian National University

19. Kainer, David. Genome-wide analysis of essential oil yield variation in Eucalyptus polybractea .

Degree: 2017, Australian National University

 Essential oil found in the leaves of Myrtaceous species, stored in specialised sub-epidermic secretory cavities, consists mostly of a large variety of terpenoid compounds. One… (more)

Subjects/Keywords: Eucalyptus; terpenes; essential oil; GWAS; genomic selection

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APA (6th Edition):

Kainer, D. (2017). Genome-wide analysis of essential oil yield variation in Eucalyptus polybractea . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/133347

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kainer, David. “Genome-wide analysis of essential oil yield variation in Eucalyptus polybractea .” 2017. Thesis, Australian National University. Accessed October 13, 2019. http://hdl.handle.net/1885/133347.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kainer, David. “Genome-wide analysis of essential oil yield variation in Eucalyptus polybractea .” 2017. Web. 13 Oct 2019.

Vancouver:

Kainer D. Genome-wide analysis of essential oil yield variation in Eucalyptus polybractea . [Internet] [Thesis]. Australian National University; 2017. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1885/133347.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kainer D. Genome-wide analysis of essential oil yield variation in Eucalyptus polybractea . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/133347

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Washington State University

20. [No author]. Reinforcing the hexaploid wheat breeding pipeline with genomic prediction of quantitative traits .

Degree: 2018, Washington State University

 Natural, artificial, and genomic selection are the driving forces of quantitative trait improvement in plants. Since the domestication of wheat over 10,000 years ago, steady… (more)

Subjects/Keywords: Genetics; Genetics; Genomic Selection; Plant Pathogens; Wheat

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APA (6th Edition):

author], [. (2018). Reinforcing the hexaploid wheat breeding pipeline with genomic prediction of quantitative traits . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/16323

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

author], [No. “Reinforcing the hexaploid wheat breeding pipeline with genomic prediction of quantitative traits .” 2018. Thesis, Washington State University. Accessed October 13, 2019. http://hdl.handle.net/2376/16323.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

author], [No. “Reinforcing the hexaploid wheat breeding pipeline with genomic prediction of quantitative traits .” 2018. Web. 13 Oct 2019.

Vancouver:

author] [. Reinforcing the hexaploid wheat breeding pipeline with genomic prediction of quantitative traits . [Internet] [Thesis]. Washington State University; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2376/16323.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Reinforcing the hexaploid wheat breeding pipeline with genomic prediction of quantitative traits . [Thesis]. Washington State University; 2018. Available from: http://hdl.handle.net/2376/16323

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

21. Norman, Adam Luke. [EMBARGOED] Application and Optimisation of Genomic Selection for Wheat Breeding.

Degree: 2019, University of Adelaide

 Plant breeding has a rich history of producing yield gains in bread wheat through the innovation and adoption of new technologies. This result is driven… (more)

Subjects/Keywords: Wheat; genetics; genomic selection; plant breeding

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APA (6th Edition):

Norman, A. L. (2019). [EMBARGOED] Application and Optimisation of Genomic Selection for Wheat Breeding. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/121300

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Norman, Adam Luke. “[EMBARGOED] Application and Optimisation of Genomic Selection for Wheat Breeding.” 2019. Thesis, University of Adelaide. Accessed October 13, 2019. http://hdl.handle.net/2440/121300.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Norman, Adam Luke. “[EMBARGOED] Application and Optimisation of Genomic Selection for Wheat Breeding.” 2019. Web. 13 Oct 2019.

Vancouver:

Norman AL. [EMBARGOED] Application and Optimisation of Genomic Selection for Wheat Breeding. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2440/121300.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Norman AL. [EMBARGOED] Application and Optimisation of Genomic Selection for Wheat Breeding. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/121300

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

22. Heffner, Elliot. Predicting Genetic Value Of Breeding Lines Using Genomic Selection In A Winter Wheat Breeding Program .

Degree: 2011, Cornell University

 The use of marker-assisted selection (MAS) to predict genetic value of breeding lines is increasing in private and public plant breeding. MAS is an attractive… (more)

Subjects/Keywords: Genomic Selection; Marker-Assisted Selection; Genome-wide Prediction

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APA (6th Edition):

Heffner, E. (2011). Predicting Genetic Value Of Breeding Lines Using Genomic Selection In A Winter Wheat Breeding Program . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heffner, Elliot. “Predicting Genetic Value Of Breeding Lines Using Genomic Selection In A Winter Wheat Breeding Program .” 2011. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/33518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heffner, Elliot. “Predicting Genetic Value Of Breeding Lines Using Genomic Selection In A Winter Wheat Breeding Program .” 2011. Web. 13 Oct 2019.

Vancouver:

Heffner E. Predicting Genetic Value Of Breeding Lines Using Genomic Selection In A Winter Wheat Breeding Program . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/33518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heffner E. Predicting Genetic Value Of Breeding Lines Using Genomic Selection In A Winter Wheat Breeding Program . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

23. Moeinizade, Saba. A stochastic simulation approach for improving response in genomic selection.

Degree: 2018, Iowa State University

 The world population is increasing rapidly and is projected to hit 9.1 billion by 2050. As the demand for food increases, agriculture production will continue… (more)

Subjects/Keywords: Genetic gain; Genomic selection; Look-ahead selection; Stochastic simulation; Agriculture

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APA (6th Edition):

Moeinizade, S. (2018). A stochastic simulation approach for improving response in genomic selection. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16735

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moeinizade, Saba. “A stochastic simulation approach for improving response in genomic selection.” 2018. Thesis, Iowa State University. Accessed October 13, 2019. https://lib.dr.iastate.edu/etd/16735.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moeinizade, Saba. “A stochastic simulation approach for improving response in genomic selection.” 2018. Web. 13 Oct 2019.

Vancouver:

Moeinizade S. A stochastic simulation approach for improving response in genomic selection. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Oct 13]. Available from: https://lib.dr.iastate.edu/etd/16735.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moeinizade S. A stochastic simulation approach for improving response in genomic selection. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16735

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

24. Santantonio, Nicholas. Homeologous epistasis in wheat: The search for an immortal hybrid .

Degree: 2018, Cornell University

 The subgenomes of an allopolyploid crop will each contain complete, yet evolutionarily divergent, sets of genes. Like a diploid hybrid, allopolyploids will have two versions,… (more)

Subjects/Keywords: Genomic selection; allopolyploidy; Epistasis; Genomic prediction; Heterosis; Hybrid; Genetics; Biostatistics; Plant sciences

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APA (6th Edition):

Santantonio, N. (2018). Homeologous epistasis in wheat: The search for an immortal hybrid . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59754

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Santantonio, Nicholas. “Homeologous epistasis in wheat: The search for an immortal hybrid .” 2018. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/59754.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Santantonio, Nicholas. “Homeologous epistasis in wheat: The search for an immortal hybrid .” 2018. Web. 13 Oct 2019.

Vancouver:

Santantonio N. Homeologous epistasis in wheat: The search for an immortal hybrid . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/59754.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Santantonio N. Homeologous epistasis in wheat: The search for an immortal hybrid . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59754

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Saskatchewan

25. Haile, Teketel A. Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement.

Degree: 2018, University of Saskatchewan

 Molecular breeding involves the use of molecular markers to identify and characterize genes that control quantitative traits. Two of the most commonly used methods to… (more)

Subjects/Keywords: Cross-validation; Genomic selection; Genomic estimated breeding value; Quantitative trait loci; Training population; Selection Candidates; Validation population

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APA (6th Edition):

Haile, T. A. (2018). Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/8437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Haile, Teketel A. “Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement.” 2018. Thesis, University of Saskatchewan. Accessed October 13, 2019. http://hdl.handle.net/10388/8437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Haile, Teketel A. “Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement.” 2018. Web. 13 Oct 2019.

Vancouver:

Haile TA. Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10388/8437.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haile TA. Genomic Selection, Quantitative Trait Loci and Genome-Wide Association Mapping for Spring Bread Wheat (Triticum aestivum L.) Improvement. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/8437

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

26. Kumar, Leticia M. Genetic variance, transgressive segregation, and genomic selection prediction accuracy for Fusarium head blight resistance in advanced multi-parent barley breeding populations.

Degree: 2013, University of Minnesota

University of Minnesota M.S. thesis. Major: Applied plant sciences. Advisor: Kevin P. Smith. 1 computer file (PDF); viii, 74 pages, appendices A-C.

The contemporary era… (more)

Subjects/Keywords: Barley; Fusarium head blight; Genetic variance; Genomic selection; Transgressive segregation

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APA (6th Edition):

Kumar, L. M. (2013). Genetic variance, transgressive segregation, and genomic selection prediction accuracy for Fusarium head blight resistance in advanced multi-parent barley breeding populations. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/152322

Chicago Manual of Style (16th Edition):

Kumar, Leticia M. “Genetic variance, transgressive segregation, and genomic selection prediction accuracy for Fusarium head blight resistance in advanced multi-parent barley breeding populations.” 2013. Masters Thesis, University of Minnesota. Accessed October 13, 2019. http://purl.umn.edu/152322.

MLA Handbook (7th Edition):

Kumar, Leticia M. “Genetic variance, transgressive segregation, and genomic selection prediction accuracy for Fusarium head blight resistance in advanced multi-parent barley breeding populations.” 2013. Web. 13 Oct 2019.

Vancouver:

Kumar LM. Genetic variance, transgressive segregation, and genomic selection prediction accuracy for Fusarium head blight resistance in advanced multi-parent barley breeding populations. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Oct 13]. Available from: http://purl.umn.edu/152322.

Council of Science Editors:

Kumar LM. Genetic variance, transgressive segregation, and genomic selection prediction accuracy for Fusarium head blight resistance in advanced multi-parent barley breeding populations. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/152322


University of Ghana

27. Alabi, O.A. Empirical Validation of Genetic Gains of Genomic Selection In Cassava (Manihot Esculenta Crantz) Breeding .

Degree: 2017, University of Ghana

 The success of a genetic breeding program can be assessed by the genetic gain obtained and successful varieties released. The validation of genomic selection (GS)… (more)

Subjects/Keywords: Empirical Validation of Genetic Gains; Genomic Selection In Cassava; Breeding

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APA (6th Edition):

Alabi, O. A. (2017). Empirical Validation of Genetic Gains of Genomic Selection In Cassava (Manihot Esculenta Crantz) Breeding . (Masters Thesis). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/26578

Chicago Manual of Style (16th Edition):

Alabi, O A. “Empirical Validation of Genetic Gains of Genomic Selection In Cassava (Manihot Esculenta Crantz) Breeding .” 2017. Masters Thesis, University of Ghana. Accessed October 13, 2019. http://ugspace.ug.edu.gh/handle/123456789/26578.

MLA Handbook (7th Edition):

Alabi, O A. “Empirical Validation of Genetic Gains of Genomic Selection In Cassava (Manihot Esculenta Crantz) Breeding .” 2017. Web. 13 Oct 2019.

Vancouver:

Alabi OA. Empirical Validation of Genetic Gains of Genomic Selection In Cassava (Manihot Esculenta Crantz) Breeding . [Internet] [Masters thesis]. University of Ghana; 2017. [cited 2019 Oct 13]. Available from: http://ugspace.ug.edu.gh/handle/123456789/26578.

Council of Science Editors:

Alabi OA. Empirical Validation of Genetic Gains of Genomic Selection In Cassava (Manihot Esculenta Crantz) Breeding . [Masters Thesis]. University of Ghana; 2017. Available from: http://ugspace.ug.edu.gh/handle/123456789/26578


Virginia Tech

28. Kaplan, Abdullah. Genomic Selection and Genome-Wide Association Study in  Populus trichocarpa and Pinus taeda.

Degree: MS, Forest Resources and Environmental Conservation, 2016, Virginia Tech

 Forest tree breeding methods rank among the most efficient ways to increase productivity and quality of forests. With the advent of high-throughput genotyping technology, genome-enabled… (more)

Subjects/Keywords: Genomic Selection; GEBV; GWAS; Pinus taeda; Populus trichocarpa

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APA (6th Edition):

Kaplan, A. (2016). Genomic Selection and Genome-Wide Association Study in  Populus trichocarpa and Pinus taeda. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82501

Chicago Manual of Style (16th Edition):

Kaplan, Abdullah. “Genomic Selection and Genome-Wide Association Study in  Populus trichocarpa and Pinus taeda.” 2016. Masters Thesis, Virginia Tech. Accessed October 13, 2019. http://hdl.handle.net/10919/82501.

MLA Handbook (7th Edition):

Kaplan, Abdullah. “Genomic Selection and Genome-Wide Association Study in  Populus trichocarpa and Pinus taeda.” 2016. Web. 13 Oct 2019.

Vancouver:

Kaplan A. Genomic Selection and Genome-Wide Association Study in  Populus trichocarpa and Pinus taeda. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/10919/82501.

Council of Science Editors:

Kaplan A. Genomic Selection and Genome-Wide Association Study in  Populus trichocarpa and Pinus taeda. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82501


Cornell University

29. Spindel, Jennifer. Delivering The Fruits Of Plant Genomics: Using Genotyping-By-Sequencing (Gbs), Genomic Selection (Gs), And Genome-Wide Association Studies (Gwas) To Improve Rice Breeding In The Tropics .

Degree: 2015, Cornell University

 To address the multiple challenges to food security posed by global climate change, population growth and rising incomes, plant breeders are developing new crop varieties… (more)

Subjects/Keywords: genomic selection; rice breeding; genome-wide association study

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APA (6th Edition):

Spindel, J. (2015). Delivering The Fruits Of Plant Genomics: Using Genotyping-By-Sequencing (Gbs), Genomic Selection (Gs), And Genome-Wide Association Studies (Gwas) To Improve Rice Breeding In The Tropics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40941

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Spindel, Jennifer. “Delivering The Fruits Of Plant Genomics: Using Genotyping-By-Sequencing (Gbs), Genomic Selection (Gs), And Genome-Wide Association Studies (Gwas) To Improve Rice Breeding In The Tropics .” 2015. Thesis, Cornell University. Accessed October 13, 2019. http://hdl.handle.net/1813/40941.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Spindel, Jennifer. “Delivering The Fruits Of Plant Genomics: Using Genotyping-By-Sequencing (Gbs), Genomic Selection (Gs), And Genome-Wide Association Studies (Gwas) To Improve Rice Breeding In The Tropics .” 2015. Web. 13 Oct 2019.

Vancouver:

Spindel J. Delivering The Fruits Of Plant Genomics: Using Genotyping-By-Sequencing (Gbs), Genomic Selection (Gs), And Genome-Wide Association Studies (Gwas) To Improve Rice Breeding In The Tropics . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1813/40941.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Spindel J. Delivering The Fruits Of Plant Genomics: Using Genotyping-By-Sequencing (Gbs), Genomic Selection (Gs), And Genome-Wide Association Studies (Gwas) To Improve Rice Breeding In The Tropics . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40941

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

30. Booker, Thomas Rhys. Understanding variation in nucleotide diversity across the mouse genome.

Degree: PhD, 2018, University of Edinburgh

 It is well known that nucleotide diversity varies across the genomes of eukaryotic species in ways consistent with the effects of natural selection. However, the… (more)

Subjects/Keywords: natural selection; genetic diversity; wild mice; genomic simulations

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APA (6th Edition):

Booker, T. R. (2018). Understanding variation in nucleotide diversity across the mouse genome. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/33239

Chicago Manual of Style (16th Edition):

Booker, Thomas Rhys. “Understanding variation in nucleotide diversity across the mouse genome.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed October 13, 2019. http://hdl.handle.net/1842/33239.

MLA Handbook (7th Edition):

Booker, Thomas Rhys. “Understanding variation in nucleotide diversity across the mouse genome.” 2018. Web. 13 Oct 2019.

Vancouver:

Booker TR. Understanding variation in nucleotide diversity across the mouse genome. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/1842/33239.

Council of Science Editors:

Booker TR. Understanding variation in nucleotide diversity across the mouse genome. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/33239

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