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You searched for subject:(Genomic Prediction). Showing records 1 – 30 of 47 total matches.

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Università della Svizzera italiana

1. Verbosio, Fabio. High performance selected inversion methods for sparse matrices: direct and stochastic approaches to selected inversion.

Degree: 2019, Università della Svizzera italiana

 The explicit evaluation of selected entries of the inverse of a given sparse matrix is an important process in various application fields and is gaining… (more)

Subjects/Keywords: Genomic prediction

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APA (6th Edition):

Verbosio, F. (2019). High performance selected inversion methods for sparse matrices: direct and stochastic approaches to selected inversion. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/324252

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):

Verbosio, Fabio. “High performance selected inversion methods for sparse matrices: direct and stochastic approaches to selected inversion.” 2019. Thesis, Università della Svizzera italiana. Accessed September 19, 2019. http://doc.rero.ch/record/324252.

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

MLA Handbook (7th Edition):

Verbosio, Fabio. “High performance selected inversion methods for sparse matrices: direct and stochastic approaches to selected inversion.” 2019. Web. 19 Sep 2019.

Vancouver:

Verbosio F. High performance selected inversion methods for sparse matrices: direct and stochastic approaches to selected inversion. [Internet] [Thesis]. Università della Svizzera italiana; 2019. [cited 2019 Sep 19]. Available from: http://doc.rero.ch/record/324252.

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

Council of Science Editors:

Verbosio F. High performance selected inversion methods for sparse matrices: direct and stochastic approaches to selected inversion. [Thesis]. Università della Svizzera italiana; 2019. Available from: http://doc.rero.ch/record/324252

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


University of Edinburgh

2. Ilska, Joanna Jadwiga. Understanding genomic prediction in chickens.

Degree: PhD, 2015, University of Edinburgh

Genomic prediction (GP) is a novel tool used for prediction of EBVs by using molecular markers. Within the last decade, GP has been widely introduced… (more)

Subjects/Keywords: 636.5; genomic prediction; GBLUP; heritability; accuracy

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APA (6th Edition):

Ilska, J. J. (2015). Understanding genomic prediction in chickens. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15876

Chicago Manual of Style (16th Edition):

Ilska, Joanna Jadwiga. “Understanding genomic prediction in chickens.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2019. http://hdl.handle.net/1842/15876.

MLA Handbook (7th Edition):

Ilska, Joanna Jadwiga. “Understanding genomic prediction in chickens.” 2015. Web. 19 Sep 2019.

Vancouver:

Ilska JJ. Understanding genomic prediction in chickens. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1842/15876.

Council of Science Editors:

Ilska JJ. Understanding genomic prediction in chickens. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/15876


Iowa State University

3. Mao, Xiaojun. Topics in matrix completion and genomic prediction.

Degree: 2018, Iowa State University

 This dissertation consists of three projects focused on low-rank modeling to deal with matrix completion problems and genomic prediction by adjusting spatial effects. One big… (more)

Subjects/Keywords: Genomic Prediction; Matrix Completion; Statistics and Probability

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APA (6th Edition):

Mao, X. (2018). Topics in matrix completion and genomic prediction. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16632

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):

Mao, Xiaojun. “Topics in matrix completion and genomic prediction.” 2018. Thesis, Iowa State University. Accessed September 19, 2019. https://lib.dr.iastate.edu/etd/16632.

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

MLA Handbook (7th Edition):

Mao, Xiaojun. “Topics in matrix completion and genomic prediction.” 2018. Web. 19 Sep 2019.

Vancouver:

Mao X. Topics in matrix completion and genomic prediction. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Sep 19]. Available from: https://lib.dr.iastate.edu/etd/16632.

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

Council of Science Editors:

Mao X. Topics in matrix completion and genomic prediction. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16632

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

4. Torres-Dini, Diego Gabriel [UNESP]. Detecção de qtl associado a dap em eucaliptus grandis x eucaliptus globulus monoprogênie.

Degree: 2017, Universidade Estadual Paulista

 In Uruguay, reforestation with Eucalyptus sp. is of fundamental importance to produce paper, pulp and wood. The productivity of these continually grows due to application… (more)

Subjects/Keywords: Eucalyptus Breeding; Quantitative Genetics; Genomic Wide Prediction (GWP); Genomic Wide Association (GWAS); SNPs Markers; Uruguay

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APA (6th Edition):

Torres-Dini, D. G. [. (2017). Detecção de qtl associado a dap em eucaliptus grandis x eucaliptus globulus monoprogênie. (Thesis). Universidade Estadual Paulista. Retrieved from http://hdl.handle.net/11449/148905

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):

Torres-Dini, Diego Gabriel [UNESP]. “Detecção de qtl associado a dap em eucaliptus grandis x eucaliptus globulus monoprogênie.” 2017. Thesis, Universidade Estadual Paulista. Accessed September 19, 2019. http://hdl.handle.net/11449/148905.

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

MLA Handbook (7th Edition):

Torres-Dini, Diego Gabriel [UNESP]. “Detecção de qtl associado a dap em eucaliptus grandis x eucaliptus globulus monoprogênie.” 2017. Web. 19 Sep 2019.

Vancouver:

Torres-Dini DG[. Detecção de qtl associado a dap em eucaliptus grandis x eucaliptus globulus monoprogênie. [Internet] [Thesis]. Universidade Estadual Paulista; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/11449/148905.

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

Council of Science Editors:

Torres-Dini DG[. Detecção de qtl associado a dap em eucaliptus grandis x eucaliptus globulus monoprogênie. [Thesis]. Universidade Estadual Paulista; 2017. Available from: http://hdl.handle.net/11449/148905

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


Cornell University

5. 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 September 19, 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. 19 Sep 2019.

Vancouver:

Santantonio N. Homeologous epistasis in wheat: The search for an immortal hybrid . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Sep 19]. 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 Guelph

6. Rocha Guarini, Aline. Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle .

Degree: 2018, University of Guelph

 Reliabilities of genomic estimated breeding values (GEBV) for functional traits, e.g. health, fertility and reproduction, remain low compared to those for production in dairy cattle.… (more)

Subjects/Keywords: Dairy Cattle; Genomic prediction; Functional traits; Single-step Genomic BLUP; Heritability; Reliability

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APA (6th Edition):

Rocha Guarini, A. (2018). Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12165

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):

Rocha Guarini, Aline. “Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle .” 2018. Thesis, University of Guelph. Accessed September 19, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12165.

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

MLA Handbook (7th Edition):

Rocha Guarini, Aline. “Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle .” 2018. Web. 19 Sep 2019.

Vancouver:

Rocha Guarini A. Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle . [Internet] [Thesis]. University of Guelph; 2018. [cited 2019 Sep 19]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12165.

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

Council of Science Editors:

Rocha Guarini A. Combining Genotypic, Phenotypic and Pedigree Information to Analyze Functional Traits in Dairy Cattle . [Thesis]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/12165

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


Cornell University

7. 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 September 19, 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. 19 Sep 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 Sep 19]. 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

8. Pace, Jordon Michael. Genetic architecture and predictability of seedling root traits in maize (Zea mays L.).

Degree: 2015, Iowa State University

 The maize (Zea mays L.) root system is important for proper growth and productivity of the plant. There is substantial genetic and phenotypic variation for… (more)

Subjects/Keywords: Genetics; Association Analysis; Genomic Prediction; GWAS; Roots; Agriculture; Genetics

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APA (6th Edition):

Pace, J. M. (2015). Genetic architecture and predictability of seedling root traits in maize (Zea mays L.). (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14600

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):

Pace, Jordon Michael. “Genetic architecture and predictability of seedling root traits in maize (Zea mays L.).” 2015. Thesis, Iowa State University. Accessed September 19, 2019. https://lib.dr.iastate.edu/etd/14600.

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

MLA Handbook (7th Edition):

Pace, Jordon Michael. “Genetic architecture and predictability of seedling root traits in maize (Zea mays L.).” 2015. Web. 19 Sep 2019.

Vancouver:

Pace JM. Genetic architecture and predictability of seedling root traits in maize (Zea mays L.). [Internet] [Thesis]. Iowa State University; 2015. [cited 2019 Sep 19]. Available from: https://lib.dr.iastate.edu/etd/14600.

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

Council of Science Editors:

Pace JM. Genetic architecture and predictability of seedling root traits in maize (Zea mays L.). [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14600

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


Curtin University of Technology

9. Jiang, Zhenyu. Statistical analysis of genomic data : a new model for class prediction and inference .

Degree: 2011, Curtin University of Technology

 Genomics is a major scientific revolution in this century. High-throughput genomic data provides an opportunity for identifying genes and SNPs (singlenucleotide polymorphism) that are related… (more)

Subjects/Keywords: genomic data; class prediction; class inference; Statistical analysis

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APA (6th Edition):

Jiang, Z. (2011). Statistical analysis of genomic data : a new model for class prediction and inference . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/1017

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):

Jiang, Zhenyu. “Statistical analysis of genomic data : a new model for class prediction and inference .” 2011. Thesis, Curtin University of Technology. Accessed September 19, 2019. http://hdl.handle.net/20.500.11937/1017.

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

MLA Handbook (7th Edition):

Jiang, Zhenyu. “Statistical analysis of genomic data : a new model for class prediction and inference .” 2011. Web. 19 Sep 2019.

Vancouver:

Jiang Z. Statistical analysis of genomic data : a new model for class prediction and inference . [Internet] [Thesis]. Curtin University of Technology; 2011. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/20.500.11937/1017.

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

Council of Science Editors:

Jiang Z. Statistical analysis of genomic data : a new model for class prediction and inference . [Thesis]. Curtin University of Technology; 2011. Available from: http://hdl.handle.net/20.500.11937/1017

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


Kansas State University

10. Maulana, Frank. Agronomic, genetic and genomic approaches for predicting heterosis in sorghum [Sorghum bicolor (L.) Moench].

Degree: PhD, Department of Agronomy, 2016, Kansas State University

 The approach used to identify inbred lines that can produce superior hybrids is costly and time-consuming. It requires creation of all possible crosses and evaluation… (more)

Subjects/Keywords: Sorghum; Heterosis; Hybrid; Genomic Prediction; Genotyping-by-sequencing

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APA (6th Edition):

Maulana, F. (2016). Agronomic, genetic and genomic approaches for predicting heterosis in sorghum [Sorghum bicolor (L.) Moench]. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/32810

Chicago Manual of Style (16th Edition):

Maulana, Frank. “Agronomic, genetic and genomic approaches for predicting heterosis in sorghum [Sorghum bicolor (L.) Moench].” 2016. Doctoral Dissertation, Kansas State University. Accessed September 19, 2019. http://hdl.handle.net/2097/32810.

MLA Handbook (7th Edition):

Maulana, Frank. “Agronomic, genetic and genomic approaches for predicting heterosis in sorghum [Sorghum bicolor (L.) Moench].” 2016. Web. 19 Sep 2019.

Vancouver:

Maulana F. Agronomic, genetic and genomic approaches for predicting heterosis in sorghum [Sorghum bicolor (L.) Moench]. [Internet] [Doctoral dissertation]. Kansas State University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2097/32810.

Council of Science Editors:

Maulana F. Agronomic, genetic and genomic approaches for predicting heterosis in sorghum [Sorghum bicolor (L.) Moench]. [Doctoral Dissertation]. Kansas State University; 2016. Available from: http://hdl.handle.net/2097/32810

11. Battenfield, Sarah. Genomic selection and association mapping for wheat processing and end-use quality.

Degree: PhD, Genetics Interdepartmental Program, 2015, Kansas State University

 Globally, wheat (Triticum aestivum L.) is the second most widely grown cereal grain and is primarily used as a food crop. To meet the demands… (more)

Subjects/Keywords: Wheat; Genomic selection; Prediction; Genetics; Wheat quality; Bread making

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APA (6th Edition):

Battenfield, S. (2015). Genomic selection and association mapping for wheat processing and end-use quality. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/35219

Chicago Manual of Style (16th Edition):

Battenfield, Sarah. “Genomic selection and association mapping for wheat processing and end-use quality.” 2015. Doctoral Dissertation, Kansas State University. Accessed September 19, 2019. http://hdl.handle.net/2097/35219.

MLA Handbook (7th Edition):

Battenfield, Sarah. “Genomic selection and association mapping for wheat processing and end-use quality.” 2015. Web. 19 Sep 2019.

Vancouver:

Battenfield S. Genomic selection and association mapping for wheat processing and end-use quality. [Internet] [Doctoral dissertation]. Kansas State University; 2015. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2097/35219.

Council of Science Editors:

Battenfield S. Genomic selection and association mapping for wheat processing and end-use quality. [Doctoral Dissertation]. Kansas State University; 2015. Available from: http://hdl.handle.net/2097/35219


Kansas State University

12. Lemes Da Silva, Cristiano. Genomic approaches for mapping and predicting disease resistance in wheat (Triticum aestivum L.).

Degree: PhD, Genetics Interdepartmental Program, 2018, Kansas State University

 Wheat diseases cause significant economic losses every year. To ensure global food security, newly released cultivars must possess increased levels of broadly-effective resistance against wheat… (more)

Subjects/Keywords: Wheat breeding; Disease resistance; QTL mapping; Association mapping; Genomic prediction; Genetics

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APA (6th Edition):

Lemes Da Silva, C. (2018). Genomic approaches for mapping and predicting disease resistance in wheat (Triticum aestivum L.). (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/38555

Chicago Manual of Style (16th Edition):

Lemes Da Silva, Cristiano. “Genomic approaches for mapping and predicting disease resistance in wheat (Triticum aestivum L.).” 2018. Doctoral Dissertation, Kansas State University. Accessed September 19, 2019. http://hdl.handle.net/2097/38555.

MLA Handbook (7th Edition):

Lemes Da Silva, Cristiano. “Genomic approaches for mapping and predicting disease resistance in wheat (Triticum aestivum L.).” 2018. Web. 19 Sep 2019.

Vancouver:

Lemes Da Silva C. Genomic approaches for mapping and predicting disease resistance in wheat (Triticum aestivum L.). [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2097/38555.

Council of Science Editors:

Lemes Da Silva C. Genomic approaches for mapping and predicting disease resistance in wheat (Triticum aestivum L.). [Doctoral Dissertation]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/38555


University of Florida

13. Martinez Nino, Carlos Alberto. Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values.

Degree: PhD, Animal Sciences, 2017, University of Florida

 This dissertation is devoted to the development of novel statistical methods for point estimation and prediction that incorporate genomic information into a series of relevant… (more)

Subjects/Keywords: bayesian-inference  – genetics  – genomic-selection  – graphical-models  – prediction  – statistical-genomics

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APA (6th Edition):

Martinez Nino, C. A. (2017). Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051012

Chicago Manual of Style (16th Edition):

Martinez Nino, Carlos Alberto. “Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values.” 2017. Doctoral Dissertation, University of Florida. Accessed September 19, 2019. http://ufdc.ufl.edu/UFE0051012.

MLA Handbook (7th Edition):

Martinez Nino, Carlos Alberto. “Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values.” 2017. Web. 19 Sep 2019.

Vancouver:

Martinez Nino CA. Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Sep 19]. Available from: http://ufdc.ufl.edu/UFE0051012.

Council of Science Editors:

Martinez Nino CA. Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051012


University of Washington

14. Sverdlov, Serge. Functional Quantitative Genetics and the Missing Heritability Problem.

Degree: PhD, 2014, University of Washington

 In classical quantitative genetics, the correlation between the phenotypes of individuals with unknown genotypes and a known pedigree relationship is expressed in terms of probabilities… (more)

Subjects/Keywords: Combinatorial Systems Biology; Epistasis; Genomic Prediction; Genomic Selection; Identity by Function; Linkage Disequilibrium; Statistics; Genetics; Bioinformatics; statistics

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APA (6th Edition):

Sverdlov, S. (2014). Functional Quantitative Genetics and the Missing Heritability Problem. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/27121

Chicago Manual of Style (16th Edition):

Sverdlov, Serge. “Functional Quantitative Genetics and the Missing Heritability Problem.” 2014. Doctoral Dissertation, University of Washington. Accessed September 19, 2019. http://hdl.handle.net/1773/27121.

MLA Handbook (7th Edition):

Sverdlov, Serge. “Functional Quantitative Genetics and the Missing Heritability Problem.” 2014. Web. 19 Sep 2019.

Vancouver:

Sverdlov S. Functional Quantitative Genetics and the Missing Heritability Problem. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1773/27121.

Council of Science Editors:

Sverdlov S. Functional Quantitative Genetics and the Missing Heritability Problem. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/27121


Virginia Tech

15. Ward, Brian Phillip. Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat.

Degree: PhD, Crop and Soil Environmental Sciences, 2017, Virginia Tech

 In multiple species, genome-wide association (GWA) studies have become an increasingly prevalent method of identifying the quantitative trait loci (QTLs) that underlie complex traits. Despite… (more)

Subjects/Keywords: wheat; Triticum aestivum; genomic prediction; genomic selection; quantitative trait locus; genome-wide association study; yield; grain yield

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

APA (6th Edition):

Ward, B. P. (2017). Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85503

Chicago Manual of Style (16th Edition):

Ward, Brian Phillip. “Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 19, 2019. http://hdl.handle.net/10919/85503.

MLA Handbook (7th Edition):

Ward, Brian Phillip. “Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat.” 2017. Web. 19 Sep 2019.

Vancouver:

Ward BP. Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10919/85503.

Council of Science Editors:

Ward BP. Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/85503


Cornell University

16. Baracuhy Brum, Itaraju Junior. Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program .

Degree: 2018, Cornell University

 Sugarcane is a clonally propagated crop of economic importance in tropical areas and is mostly used for production of sugar, ethanol, energy and animal feed.… (more)

Subjects/Keywords: Genomic selection; Sugarcane; genomic best linear unbiased prediction (GBLUP); Mixed Models; Polyploid Genetics; Plant Breeding; Biostatistics; Agriculture; Plant sciences

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APA (6th Edition):

Baracuhy Brum, I. J. (2018). Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59529

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):

Baracuhy Brum, Itaraju Junior. “Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program .” 2018. Thesis, Cornell University. Accessed September 19, 2019. http://hdl.handle.net/1813/59529.

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

MLA Handbook (7th Edition):

Baracuhy Brum, Itaraju Junior. “Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program .” 2018. Web. 19 Sep 2019.

Vancouver:

Baracuhy Brum IJ. Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1813/59529.

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

Council of Science Editors:

Baracuhy Brum IJ. Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59529

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


Cornell University

17. Jafarzadeh, Jafar. DETERMINING THE BREEDING VALUE OF PRIMARY SYNTHETIC BREAD WHEATS FOR INCREASED GRAIN YIELD .

Degree: 2017, Cornell University

 Long term domestication and breeding of bread wheat increased grain yield, but this increase has slowed down, in part, due to the reduction of genetic… (more)

Subjects/Keywords: Drought stress; Genetic diversity; Genomic estimated breeding value; Genomic prediction; Grain yield; Synthetic hexaploid wheat; Agriculture; Plant sciences

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

APA (6th Edition):

Jafarzadeh, J. (2017). DETERMINING THE BREEDING VALUE OF PRIMARY SYNTHETIC BREAD WHEATS FOR INCREASED GRAIN YIELD . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56935

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):

Jafarzadeh, Jafar. “DETERMINING THE BREEDING VALUE OF PRIMARY SYNTHETIC BREAD WHEATS FOR INCREASED GRAIN YIELD .” 2017. Thesis, Cornell University. Accessed September 19, 2019. http://hdl.handle.net/1813/56935.

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

MLA Handbook (7th Edition):

Jafarzadeh, Jafar. “DETERMINING THE BREEDING VALUE OF PRIMARY SYNTHETIC BREAD WHEATS FOR INCREASED GRAIN YIELD .” 2017. Web. 19 Sep 2019.

Vancouver:

Jafarzadeh J. DETERMINING THE BREEDING VALUE OF PRIMARY SYNTHETIC BREAD WHEATS FOR INCREASED GRAIN YIELD . [Internet] [Thesis]. Cornell University; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1813/56935.

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

Council of Science Editors:

Jafarzadeh J. DETERMINING THE BREEDING VALUE OF PRIMARY SYNTHETIC BREAD WHEATS FOR INCREASED GRAIN YIELD . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56935

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


University of California – Berkeley

18. Sankararaman, Sriram. Statistical models for analyzing human genetic variation.

Degree: Computer Science, 2010, University of California – Berkeley

 Advances in sequencing and genomic technologies are providing new opportunities to understand the genetic basis of phenotypes such as diseases. Translating the large volumes of… (more)

Subjects/Keywords: Computer Science; Statistics; Biology, Bioinformatics; Functional residue prediction; Genomic privacy; Human genetic variation; Statistical models

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

APA (6th Edition):

Sankararaman, S. (2010). Statistical models for analyzing human genetic variation. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/8j30h6p8

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):

Sankararaman, Sriram. “Statistical models for analyzing human genetic variation.” 2010. Thesis, University of California – Berkeley. Accessed September 19, 2019. http://www.escholarship.org/uc/item/8j30h6p8.

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

MLA Handbook (7th Edition):

Sankararaman, Sriram. “Statistical models for analyzing human genetic variation.” 2010. Web. 19 Sep 2019.

Vancouver:

Sankararaman S. Statistical models for analyzing human genetic variation. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Sep 19]. Available from: http://www.escholarship.org/uc/item/8j30h6p8.

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

Council of Science Editors:

Sankararaman S. Statistical models for analyzing human genetic variation. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/8j30h6p8

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


University of Edinburgh

19. Tsai, Hsin Yuan. Genomic basis of growth traits and host resistance against sea lice (L. Salmonis) in Atlantic salmon (S. Salar).

Degree: PhD, 2017, University of Edinburgh

 Background Atlantic salmon (Salmo Salar) is a key aquaculture species in several countries. Since its critical role in economic sector and scientific research, this species… (more)

Subjects/Keywords: Atlantic salmon; sea louse disease; host resistance; quantitative trait loci; genomic prediction

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

APA (6th Edition):

Tsai, H. Y. (2017). Genomic basis of growth traits and host resistance against sea lice (L. Salmonis) in Atlantic salmon (S. Salar). (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/28918

Chicago Manual of Style (16th Edition):

Tsai, Hsin Yuan. “Genomic basis of growth traits and host resistance against sea lice (L. Salmonis) in Atlantic salmon (S. Salar).” 2017. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2019. http://hdl.handle.net/1842/28918.

MLA Handbook (7th Edition):

Tsai, Hsin Yuan. “Genomic basis of growth traits and host resistance against sea lice (L. Salmonis) in Atlantic salmon (S. Salar).” 2017. Web. 19 Sep 2019.

Vancouver:

Tsai HY. Genomic basis of growth traits and host resistance against sea lice (L. Salmonis) in Atlantic salmon (S. Salar). [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1842/28918.

Council of Science Editors:

Tsai HY. Genomic basis of growth traits and host resistance against sea lice (L. Salmonis) in Atlantic salmon (S. Salar). [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/28918


University of Edinburgh

20. Tsairidou, Smaragda. Genetics of disease resistance : application to bovine tuberculosis.

Degree: PhD, 2016, University of Edinburgh

 Bovine Tuberculosis (bTB) is a disease of significant economic importance, being one of the most persistent animal health problems in the UK and the Republic… (more)

Subjects/Keywords: 636.2; bovine Tuberculosis; genomic selection; SICCT; Single Intradermal Comparative Cervical Test; prediction accuracy; imputation

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

APA (6th Edition):

Tsairidou, S. (2016). Genetics of disease resistance : application to bovine tuberculosis. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/25397

Chicago Manual of Style (16th Edition):

Tsairidou, Smaragda. “Genetics of disease resistance : application to bovine tuberculosis.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2019. http://hdl.handle.net/1842/25397.

MLA Handbook (7th Edition):

Tsairidou, Smaragda. “Genetics of disease resistance : application to bovine tuberculosis.” 2016. Web. 19 Sep 2019.

Vancouver:

Tsairidou S. Genetics of disease resistance : application to bovine tuberculosis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1842/25397.

Council of Science Editors:

Tsairidou S. Genetics of disease resistance : application to bovine tuberculosis. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/25397

21. De Coninck, Arne. High performance computing for large-scale genomic prediction.

Degree: 2016, Ghent University

 In the past decades genetics was studied intensively leading to the knowledge that DNA is the molecule behind genetic inheritance and starting from the new… (more)

Subjects/Keywords: Technology and Engineering; animal breeding; distributed computing; genomic prediction; plant breeding; High performance computing

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

APA (6th Edition):

De Coninck, A. (2016). High performance computing for large-scale genomic prediction. (Thesis). Ghent University. Retrieved from http://hdl.handle.net/1854/LU-7061094

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):

De Coninck, Arne. “High performance computing for large-scale genomic prediction.” 2016. Thesis, Ghent University. Accessed September 19, 2019. http://hdl.handle.net/1854/LU-7061094.

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

MLA Handbook (7th Edition):

De Coninck, Arne. “High performance computing for large-scale genomic prediction.” 2016. Web. 19 Sep 2019.

Vancouver:

De Coninck A. High performance computing for large-scale genomic prediction. [Internet] [Thesis]. Ghent University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1854/LU-7061094.

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

Council of Science Editors:

De Coninck A. High performance computing for large-scale genomic prediction. [Thesis]. Ghent University; 2016. Available from: http://hdl.handle.net/1854/LU-7061094

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


Iowa State University

22. Howard, Reka. Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction.

Degree: 2016, Iowa State University

 The availability of high-density markers resulted an increased interest in the use of markers for phenotype prediction in plant breeding. Genomic Prediction is a technique… (more)

Subjects/Keywords: Genomic Prediction; Nonparametric; Parametric; Response Surface Methodology; Simulation; Agriculture; Plant Sciences; Statistics and Probability

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

APA (6th Edition):

Howard, R. (2016). Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15720

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):

Howard, Reka. “Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction.” 2016. Thesis, Iowa State University. Accessed September 19, 2019. https://lib.dr.iastate.edu/etd/15720.

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

MLA Handbook (7th Edition):

Howard, Reka. “Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction.” 2016. Web. 19 Sep 2019.

Vancouver:

Howard R. Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Sep 19]. Available from: https://lib.dr.iastate.edu/etd/15720.

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

Council of Science Editors:

Howard R. Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/15720

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


Kansas State University

23. Lin, Meng. Genetic and genomic studies on wheat pre-harvest sprouting resistance.

Degree: PhD, Department of Agronomy, 2017, Kansas State University

 Wheat pre-harvest sprouting (PHS), germination of physiologically matured grains in a wheat spike before harvesting, can cause significant reduction in grain yield and end-use quality.… (more)

Subjects/Keywords: Triticum aestivum; Pre-harvest sprouting resistance; Quantitative trait locus; Genome- wide association studies; Genomic prediction

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

APA (6th Edition):

Lin, M. (2017). Genetic and genomic studies on wheat pre-harvest sprouting resistance. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/34597

Chicago Manual of Style (16th Edition):

Lin, Meng. “Genetic and genomic studies on wheat pre-harvest sprouting resistance.” 2017. Doctoral Dissertation, Kansas State University. Accessed September 19, 2019. http://hdl.handle.net/2097/34597.

MLA Handbook (7th Edition):

Lin, Meng. “Genetic and genomic studies on wheat pre-harvest sprouting resistance.” 2017. Web. 19 Sep 2019.

Vancouver:

Lin M. Genetic and genomic studies on wheat pre-harvest sprouting resistance. [Internet] [Doctoral dissertation]. Kansas State University; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2097/34597.

Council of Science Editors:

Lin M. Genetic and genomic studies on wheat pre-harvest sprouting resistance. [Doctoral Dissertation]. Kansas State University; 2017. Available from: http://hdl.handle.net/2097/34597


University of California – San Francisco

24. Yunes, Jeffrey Michael. Prediction of Protein Function with a Probabilistic Model for Analysis of Sequence Similarity Networks and Genomic Context.

Degree: Bioengineering, 2018, University of California – San Francisco

 The number of known protein sequences is growing faster than the number of curated protein functions. To help bridge this gap, bioinformatics scientists have created… (more)

Subjects/Keywords: Bioinformatics; genomic context analysis; probabilistic graphical model; protein function prediction; sequence similarity network

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

APA (6th Edition):

Yunes, J. M. (2018). Prediction of Protein Function with a Probabilistic Model for Analysis of Sequence Similarity Networks and Genomic Context. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/2rr61756

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):

Yunes, Jeffrey Michael. “Prediction of Protein Function with a Probabilistic Model for Analysis of Sequence Similarity Networks and Genomic Context.” 2018. Thesis, University of California – San Francisco. Accessed September 19, 2019. http://www.escholarship.org/uc/item/2rr61756.

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

MLA Handbook (7th Edition):

Yunes, Jeffrey Michael. “Prediction of Protein Function with a Probabilistic Model for Analysis of Sequence Similarity Networks and Genomic Context.” 2018. Web. 19 Sep 2019.

Vancouver:

Yunes JM. Prediction of Protein Function with a Probabilistic Model for Analysis of Sequence Similarity Networks and Genomic Context. [Internet] [Thesis]. University of California – San Francisco; 2018. [cited 2019 Sep 19]. Available from: http://www.escholarship.org/uc/item/2rr61756.

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

Council of Science Editors:

Yunes JM. Prediction of Protein Function with a Probabilistic Model for Analysis of Sequence Similarity Networks and Genomic Context. [Thesis]. University of California – San Francisco; 2018. Available from: http://www.escholarship.org/uc/item/2rr61756

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


University of Guelph

25. Karimi, zahra. Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada .

Degree: 2018, University of Guelph

Subjects/Keywords: genomic prediction; haplotype block; swine; cattle

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

APA (6th Edition):

Karimi, z. (2018). Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/13004

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):

Karimi, zahra. “Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada .” 2018. Thesis, University of Guelph. Accessed September 19, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/13004.

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

MLA Handbook (7th Edition):

Karimi, zahra. “Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada .” 2018. Web. 19 Sep 2019.

Vancouver:

Karimi z. Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada . [Internet] [Thesis]. University of Guelph; 2018. [cited 2019 Sep 19]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/13004.

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

Council of Science Editors:

Karimi z. Assessing Haplotype-based Methods for Genomic Prediction in Holstein Cattle and Major Swine Breeds in Canada . [Thesis]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/13004

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


Iowa State University

26. Falk, Kevin G. Phenotypic and molecular characterization root system architecture in diverse soybean (Glycine max L. Merr.) accessions.

Degree: 2019, Iowa State University

 Root system architecture (RSA), or the spatial arrangement of the root and its morphology, functions to anchor the plant, provide water and nutrient acquisition, nutrient… (more)

Subjects/Keywords: Genomic prediction; GWAS; Phenomics; Phenotyping; Plant breeding; Root system architecture; Agriculture; Plant Sciences

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APA (6th Edition):

Falk, K. G. (2019). Phenotypic and molecular characterization root system architecture in diverse soybean (Glycine max L. Merr.) accessions. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17181

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):

Falk, Kevin G. “Phenotypic and molecular characterization root system architecture in diverse soybean (Glycine max L. Merr.) accessions.” 2019. Thesis, Iowa State University. Accessed September 19, 2019. https://lib.dr.iastate.edu/etd/17181.

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

MLA Handbook (7th Edition):

Falk, Kevin G. “Phenotypic and molecular characterization root system architecture in diverse soybean (Glycine max L. Merr.) accessions.” 2019. Web. 19 Sep 2019.

Vancouver:

Falk KG. Phenotypic and molecular characterization root system architecture in diverse soybean (Glycine max L. Merr.) accessions. [Internet] [Thesis]. Iowa State University; 2019. [cited 2019 Sep 19]. Available from: https://lib.dr.iastate.edu/etd/17181.

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

Council of Science Editors:

Falk KG. Phenotypic and molecular characterization root system architecture in diverse soybean (Glycine max L. Merr.) accessions. [Thesis]. Iowa State University; 2019. Available from: https://lib.dr.iastate.edu/etd/17181

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


Iowa State University

27. Dzievit, Matthew James. Genetic dissection and prediction of leaf angle across the maize canopy.

Degree: 2019, Iowa State University

 Maize’s (Zea mays L.) leaf angle has changed over the last 60 years because of intense selection pressure for high yielding hybrids under increasing planting… (more)

Subjects/Keywords: genetic mapping; genomic prediction; genomic selection; maize; meta-analysis; quantitative trait loci; Agricultural Science; Agriculture; Agronomy and Crop Sciences; Genetics; Plant Sciences

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APA (6th Edition):

Dzievit, M. J. (2019). Genetic dissection and prediction of leaf angle across the maize canopy. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17179

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):

Dzievit, Matthew James. “Genetic dissection and prediction of leaf angle across the maize canopy.” 2019. Thesis, Iowa State University. Accessed September 19, 2019. https://lib.dr.iastate.edu/etd/17179.

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

MLA Handbook (7th Edition):

Dzievit, Matthew James. “Genetic dissection and prediction of leaf angle across the maize canopy.” 2019. Web. 19 Sep 2019.

Vancouver:

Dzievit MJ. Genetic dissection and prediction of leaf angle across the maize canopy. [Internet] [Thesis]. Iowa State University; 2019. [cited 2019 Sep 19]. Available from: https://lib.dr.iastate.edu/etd/17179.

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

Council of Science Editors:

Dzievit MJ. Genetic dissection and prediction of leaf angle across the maize canopy. [Thesis]. Iowa State University; 2019. Available from: https://lib.dr.iastate.edu/etd/17179

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


Swedish University of Agricultural Sciences

28. Hidalgo, André Marubayashi. Exploiting genomic information on purebred and crossbred pigs.

Degree: 2015, Swedish University of Agricultural Sciences

 The use of genomic information has become increasingly important in a breeding program. In a pig breeding program, where the final goal is an increased… (more)

Subjects/Keywords: swine; crossbreds; pure lines; genomes; genetic markers; quantitative trait loci; breeding value; selection; genomics; animal breeding; Genomic selection; Pigs; Prediction

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

APA (6th Edition):

Hidalgo, A. M. (2015). Exploiting genomic information on purebred and crossbred pigs. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from http://pub.epsilon.slu.se/12788/

Chicago Manual of Style (16th Edition):

Hidalgo, André Marubayashi. “Exploiting genomic information on purebred and crossbred pigs.” 2015. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed September 19, 2019. http://pub.epsilon.slu.se/12788/.

MLA Handbook (7th Edition):

Hidalgo, André Marubayashi. “Exploiting genomic information on purebred and crossbred pigs.” 2015. Web. 19 Sep 2019.

Vancouver:

Hidalgo AM. Exploiting genomic information on purebred and crossbred pigs. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2015. [cited 2019 Sep 19]. Available from: http://pub.epsilon.slu.se/12788/.

Council of Science Editors:

Hidalgo AM. Exploiting genomic information on purebred and crossbred pigs. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2015. Available from: http://pub.epsilon.slu.se/12788/


Purdue University

29. Xavier, Alencar. Learning from data: Plant breeding applications of machine learning.

Degree: PhD, Agronomy, 2016, Purdue University

  Increasingly, new sources of data are being incorporated into plant breeding pipelines. Enormous amounts of data from field phenomics and genotyping technologies places data… (more)

Subjects/Keywords: Biological sciences; Bayesian methods; Genomic prediction; Machine learning; Markov random fields; Mixed models; Soybean breeding; Agriculture; Biostatistics; Plant Sciences

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APA (6th Edition):

Xavier, A. (2016). Learning from data: Plant breeding applications of machine learning. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/883

Chicago Manual of Style (16th Edition):

Xavier, Alencar. “Learning from data: Plant breeding applications of machine learning.” 2016. Doctoral Dissertation, Purdue University. Accessed September 19, 2019. http://docs.lib.purdue.edu/open_access_dissertations/883.

MLA Handbook (7th Edition):

Xavier, Alencar. “Learning from data: Plant breeding applications of machine learning.” 2016. Web. 19 Sep 2019.

Vancouver:

Xavier A. Learning from data: Plant breeding applications of machine learning. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Sep 19]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/883.

Council of Science Editors:

Xavier A. Learning from data: Plant breeding applications of machine learning. [Doctoral Dissertation]. Purdue University; 2016. Available from: http://docs.lib.purdue.edu/open_access_dissertations/883


University of Illinois – Urbana-Champaign

30. Chang, Hao-Xun. Identification of phytotoxins produced by fusarium virguliforme associated with foliar symptoms of sudden death syndrome and genome-wide association studies for soybean disease resistance.

Degree: PhD, Crop Sciences, 2016, University of Illinois – Urbana-Champaign

 Plant pathology is a multidisciplinary subject and the scientific progress in plant pathology follows the advent of sciences. Beginning in the 1800s, the father of… (more)

Subjects/Keywords: Soybean; Disease; Phytotoxin; Fusarium virguliforme, Sudden death Syndrome; Genome-wide association study; Genomic prediction; Tobacco ringspot virus

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

APA (6th Edition):

Chang, H. (2016). Identification of phytotoxins produced by fusarium virguliforme associated with foliar symptoms of sudden death syndrome and genome-wide association studies for soybean disease resistance. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90778

Chicago Manual of Style (16th Edition):

Chang, Hao-Xun. “Identification of phytotoxins produced by fusarium virguliforme associated with foliar symptoms of sudden death syndrome and genome-wide association studies for soybean disease resistance.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed September 19, 2019. http://hdl.handle.net/2142/90778.

MLA Handbook (7th Edition):

Chang, Hao-Xun. “Identification of phytotoxins produced by fusarium virguliforme associated with foliar symptoms of sudden death syndrome and genome-wide association studies for soybean disease resistance.” 2016. Web. 19 Sep 2019.

Vancouver:

Chang H. Identification of phytotoxins produced by fusarium virguliforme associated with foliar symptoms of sudden death syndrome and genome-wide association studies for soybean disease resistance. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2142/90778.

Council of Science Editors:

Chang H. Identification of phytotoxins produced by fusarium virguliforme associated with foliar symptoms of sudden death syndrome and genome-wide association studies for soybean disease resistance. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90778

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