Bibliografías temáticas / Genomic trait

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Literatura académica sobre el tema "Genomic trait"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Genomic trait"

Bohlouli, Mehdi, Sadegh Alijani, Ardashir Nejati Javaremi, Sven König, and Tong Yin. "Genomic prediction by considering genotype × environment interaction using different genomic architectures." Annals of Animal Science 17, no. 3 (2017): 683–701. http://dx.doi.org/10.1515/aoas-2016-0086.

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Abstract In this study, accuracies of genomic prediction across various scenarios were compared using single- trait and multiple-trait animal models to detect genotype × environment (G × E) interaction based on REML method. The simulated high and low linkage disequilibrium (HLD and LLD) genome consisted of 15,000 and 50,000 SNP chip applications with 300 and 600 QTLs controlling the trait of interest. The simulation was done to create the genetic correlations between the traits in 4 environments and heritabilities of the traits were 0.20, 0.25, 0.30 and 0.35 in environments 1, 2, 3 and 4, resp

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Lozada, Dennis, and Arron Carter. "Insights into the Genetic Architecture of Phenotypic Stability Traits in Winter Wheat." Agronomy 10, no. 3 (2020): 368. http://dx.doi.org/10.3390/agronomy10030368.

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Examining the architecture of traits through genomics is necessary to gain a better understanding of the genetic loci affecting important traits to facilitate improvement. Genomewide association study (GWAS) and genomic selection (GS) were implemented for grain yield, heading date, and plant height to gain insights into the genetic complexity of phenotypic stability of traits in a diverse population of US Pacific Northwest winter wheat. Analysis of variance using the Additive Main Effect and Multiplicative Interaction (AMMI) approach revealed significant genotype and genotype by environment in

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Calus, M. P. L., D. P. Berry, G. Banos, Y. de Haas, and R. F. Veerkamp. "Genomic selection: the option for new robustness traits?" Advances in Animal Biosciences 4, no. 3 (2013): 618–25. http://dx.doi.org/10.1017/s2040470013000186.

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Genomic selection is rapidly becoming the state-of-the-art genetic selection methodology in dairy cattle breeding schemes around the world. The objective of this paper was to explore possibilities to apply genomic selection for traits related to dairy cow robustness. Deterministic simulations indicate that replacing progeny testing with genomic selection may favour genetic response for production traits at the expense of robustness traits, owing to a disproportional change in accuracies obtained across trait groups. Nevertheless, several options are available to improve the accuracy of genomic

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Sunagar, Ramesh, and Manoj Kumar Pandey. "Genomic Approaches for Enhancing Yield and Quality Traits in Mustard (Brassica spp.): A Review of Breeding Strategies." Journal of Advances in Biology & Biotechnology 27, no. 6 (2024): 174–85. http://dx.doi.org/10.9734/jabb/2024/v27i6877.

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Mustard, a vital oilseed crop, plays a significant role in global agriculture due to its versatile applications in food, feed, and biofuel industries. However, meeting the increasing demands for yield and quality traits poses a substantial challenge to mustard breeders. In response, genomic approaches have emerged as powerful tools to expedite mustard breeding programs by unraveling the genetic basis of key agronomic traits. This review provides a comprehensive overview of genomic strategies aimed at enhancing yield and quality traits in mustard. Beginning with an exploration of traditional br

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Srivastava, Swati, Bryan Irvine Lopez, Sara de las Heras-Saldana, et al. "Estimation of Genetic Parameters by Single-Trait and Multi-Trait Models for Carcass Traits in Hanwoo Cattle." Animals 9, no. 12 (2019): 1061. http://dx.doi.org/10.3390/ani9121061.

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Hanwoo breed is preferred in South Korea because of the high standards in marbling and the palatability of its meat. Numerous studies have been conducted and are ongoing to increase the meat production and quality in this beef population. The aim of this study was to estimate and compare genetic parameters for carcass traits using BLUPF90 software. Four models were constructed, single trait pedigree model (STPM), single-trait genomic model (STGM), multi-trait pedigree model (MTPM), and multi-trait genomic model (MTGM), using the pedigree, phenotype, and genomic information of 7991 Hanwoo cattl

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Li, Hongwei, Yining Wang, Michael Vinsky, Tiago Valente, John A. Basarab, and Changxi Li. "114 Accuracy of genomic predictions using single and multiple-trait machine learning methods in Canadian beef cattle population." Journal of Animal Science 102, Supplement_3 (2024): 33–34. http://dx.doi.org/10.1093/jas/skae234.037.

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Abstract The advancement in various machine learning (ML) methods provides tools to extract features from a large data set of complex traits and to predict the outcome of the target trait. In this study, we assessed the genomic prediction accuracy using single trait models based on kernel ridge regression (ST_KRR) and linear support vector regression (STLinearSVR) for female feed intake, feed efficiency and fertility traits of Canadian crossbreed beef cattle (n = 2,834 genotyped with 83,875 single nucleotide polymorphisms) and compared their prediction performances to a single trait genomic be

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Eduardo, Iban, Pere Arús, Antonio José Monforte, et al. "Estimating the Genetic Architecture of Fruit Quality Traits in Melon Using a Genomic Library of Near Isogenic Lines." Journal of the American Society for Horticultural Science 132, no. 1 (2007): 80–89. http://dx.doi.org/10.21273/jashs.132.1.80.

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A melon (Cucumis melo L.) genomic library of near-isogenic lines derived from the cross between the Spanish cultivar Piel de Sapo and the exotic accession PI 161375 has been evaluated for fruit quality traits in four different locations. Traits evaluated were fruit weight, soluble solids content, maximum fruit diameter, fruit length, fruit shape index, ovary shape index, external color, and flesh color. Among these traits, soluble solids content showed the highest genotype × environment interaction, whereas genotype × environment interactions for fruit shape and fruit weight were low. Heritabi

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Fragomeni, Breno, Zulma Vitezica, Justine Liu, et al. "209 Genomic selection for multiple maternal and growth traits in large white pigs using Single-Step GBLUP." Journal of Animal Science 97, Supplement_3 (2019): 42. http://dx.doi.org/10.1093/jas/skz258.084.

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Abstract The objective of this study was to implement a multi-trait genomic evaluation for maternal and growth traits in a swine population. Phenotypes for preweaning mortality, litter size, weaning weight, and average daily gain were available for 282K Large White pigs. The pedigree included 314k individuals, of which 35,731 were genotyped for 45K SNPs. Variance components were estimated in a multi-trait animal model without genomic information by AIREMLF90. Genomic breeding values were estimated using the genomic information by single-step GBLUP. The algorithm for proven and young (APY) was

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Huang, Mao, Antonio Cabrera, Amber Hoffstetter, et al. "Genomic selection for wheat traits and trait stability." Theoretical and Applied Genetics 129, no. 9 (2016): 1697–710. http://dx.doi.org/10.1007/s00122-016-2733-z.

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Shabannejad, Morteza, Mohammad-Reza Bihamta, Eslam Majidi-Hervan, Hadi Alipour, and Asa Ebrahimi. "A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars." PLOS ONE 16, no. 3 (2021): e0247824. http://dx.doi.org/10.1371/journal.pone.0247824.

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The present study aimed to improve the accuracy of genomic prediction of 16 agronomic traits in a diverse bread wheat (Triticum aestivum L.) germplasm under terminal drought stress and well-watered conditions in semi-arid environments. An association panel including 87 bread wheat cultivars and 199 landraces from Iran bread wheat germplasm was planted under two irrigation systems in semi-arid climate zones. The whole association panel was genotyped with 9047 single nucleotide polymorphism markers using the genotyping-by-sequencing method. A number of 23 marker-trait associations were selected

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Tesis sobre el tema "Genomic trait"

Kindt, Alida Sophie Dorothea. "Genomic signature of trait-associated variants." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9620.

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Genome-wide association studies have been used extensively to study hundreds of phenotypes and have determined thousands of associated SNPs whose underlying biology and causation is as yet largely unknown. Many previous studies attempted to clarify the causal biology by investigating overlaps of trait-associated variants with functional annotations, but lacked statistical rigor and examined incomplete subsets of available functional annotations. Additionally, it has been difficult to disentangle the relative contributions of different annotations that may show strong correlations with one anot

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Hu, Wei. "Genomic determinants of alcohol effects /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2008. http://proquest.umi.com/pqdweb?did=1545571871&sid=1&Fmt=6&clientId=18952&RQT=309&VName=PQD.

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Thesis (Ph.D. in Pharmacology) -- University of Colorado Denver, 2008. Typescript. Includes bibliographical references (leaves 121-149). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

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Huang, Mao. "Accuracy of genomic selection in a soft winter wheat (Triticum aestivum L.) breeding program." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1468841458.

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Ward, Brian Phillip. "Genomic Prediction and Genetic Dissection of Yield-Related Traits in Soft Red Winter Wheat." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/85503.

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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 this, relatively few GWA analyses using high-density genomic markers have been carried out on highly quantitative traits in wheat. We utilized single-nucleotide polymorphism (SNP) data generated via a genotyping-by-sequencing (GBS) protocol to perform GWA on multiple yield-related traits using a panel of 329 soft red winter wheat genotypes grown in four environments. In addition, the SNP data was used to

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Lin, Meng. "Genetic and genomic studies on wheat pre-harvest sprouting resistance." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/34597.

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Doctor of Philosophy Department of Agronomy Guihua Bai Allan K. Fritz 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. Many quantitative trait loci (QTL) for PHS resistance have been reported in different sources. To determine the genetic architecture of PHS resistance and its relationship with grain color (GC) in US hard winter wheat, a genome-wide association study (GWAS) on both PHS resistance and GC was conducted using in a panel of 185 U.S. el

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Masekoameng, Tshepiso. "Sickle cell trait and targeted genomic variants in chronic kidney disease an African cohort." Master's thesis, Faculty of Health Sciences, 2019. http://hdl.handle.net/11427/31357.

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Background Chronic Kidney Disease (CKD), has a high and increasing burden in sub-Saharan Africa. Environmental factors that have been associated to CKD are associated with multiple co-morbidities such as hypertension, diabetes, and HIV. Some genetics factors such APOL1 have been associated with the highest burden of CKD among population of African ancestries. Other emerging genetic factors such as Sickle Cell trait (SCT) have been investigated mostly among African Americans. Sickle Cell trait (SCT) has the highest burden in sub-Saharan Africans, because of a natural selection, attributed to it

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Pecoraro, Carlo <1986&gt. "Global Population Genomic Structure and Life History Trait Analysis of Yellowfin Tuna (Thunnus Albacares)." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7537/1/Pecoraro_Carlo_tesi.pdf.

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Yellowfin tuna (Thunnus albacares; YFT) represents one of the most important seafood commodities in the world. The rationale of this Ph.D. project was identified by prioritizing key issues as objectives for contributing to the conservation of YFT and helping to develop a more realistic stock assessment and sustainable management of this species. Specifically, in this work the current mismatch between the biology and/or ecology and the realized management strategies was highlighted, putting particular emphasis on YFT population structure, which is currently characterized by a high degree of unc

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He, Feng, and 贺峰. "Detection of parent-of-origin effects and association in relation to aquantitative trait." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44921408.

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Toubiana, William. "Towards an adaptive and genomic understanding of an exaggerated secondary sexual trait in water striders." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEN058/document.

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Les nombreuses différences qui existent entre les organismes illustrent que le processus de variation est un phénomène universel en biologie. Ces variations sont particulièrement observables chez les espèces sexuées, entre mâles et femelles. Comprendre les différents facteurs biologiques, environnementaux et génétiques, à l'origine de ce dimorphisme sexuel est le cœur de mon sujet de thèse. Pour cela, j’ai établi un nouveau modèle d'étude, l’insecte semi-aquatique Microvelia longipes. Ces insectes ont évolué un dimorphisme sexuel spectaculaire où les mâles présentent une croissance extrême et

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Libros sobre el tema "Genomic trait"

Lantbruksuniversitet, Sveriges, ed. Genome analysis of quantitative trait loci in the pig. Sveriges Lantbruksuniversitet, 1997.

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Fontanesi, Luca, ed. The genetics and genomics of the rabbit. CABI, 2021. http://dx.doi.org/10.1079/9781780643342.0000.

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Abstract The purpose of the book is to present in one location a comprehensive overview of the progress of genetics in the rabbit, with a modern vision that integrates genomics to obtain a complete picture of the state of the art and of the applications in this species, defined according to the multiple uses and multi-faceted places that this species has in applied and fundamental biology. The 18 chapters cover several fields of genetics and genomics: Chapters 1 and 2 present the rabbit within the evolutionary framework, including the systematics, its domestication and an overview of the genet

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Gloyn, Anna L., and Mark I. McCarthy. Genetics in diabetes: Type 2 diabetes and related traits. Karger, 2014.

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1955-, Saxton Arnold Myron, and SAS Institute, eds. Genetic analysis of complex traits using SAS. SAS Institute, 2004.

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Nōrin Suisan Gijutsu Kaigi. Jimukyoku., ed. Yūyō idenshi katsuyō no tame no shokubutsu (ine) dōbutsu genomu kenkyū, ine genomu no jūyō keishitsu kanren idenshi no kinō kaimei =: Functional analysis of genes relevant to agriculturally important traits in rice genome. Nōrin Suisan Gijutsu Kaigi Jimukyoku, 2009.

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Maroni, Gustavo. Molecular and Genetic Analysis of Human Traits. John Wiley & Sons, Ltd., 2007.

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Nōrin Suisan Gijutsu Kaigi. Jimukyoku., ed. Genomu ikushu ni yoru kōritsuteki hinshu ikusei gijutsu no kaihatsu, QTL idenshi kaiseki no suishin =: Genetic and molecular dissection of quantitative traits in rice. Nōrin Suisan Gijutsu Kaigi Jimukyoku, 2009.

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Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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Capítulos de libros sobre el tema "Genomic trait"

Montesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "Linear Mixed Models." In Multivariate Statistical Machine Learning Methods for Genomic Prediction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_5.

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AbstractThe linear mixed model framework is explained in detail in this chapter. We explore three methods of parameter estimation (maximum likelihood, EM algorithm, and REML) and illustrate how genomic-enabled predictions are performed under this framework. We illustrate the use of linear mixed models by using the predictor several components such as environments, genotypes, and genotype × environment interaction. Also, the linear mixed model is illustrated under a multi-trait framework that is important in the prediction performance when the degree of correlation between traits is moderate or

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Crossa, José, J. Jesús Cerón-Rojas, Johannes W. R. Martini, et al. "Theory and Practice of Phenotypic and Genomic Selection Indices." In Wheat Improvement. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_32.

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AbstractThe plant net genetic merit is a linear combination of trait breeding values weighted by its respective economic weights whereas a linear selection index (LSI) is a linear combination of phenotypic or genomic estimated breeding values (GEBV) which is used to predict the net genetic merit of candidates for selection. Because economic values are difficult to assign, some authors developed economic weight-free LSI. The economic weights LSI are associated with linear regression theory, while the economic weight-free LSI is associated with canonical correlation theory. Both LSI can be uncon

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Qiu, Zhixu, Yunjia Tang, and Chuang Ma. "An Effective Strategy for Trait Combinations in Multiple-Trait Genomic Selection." In Intelligent Computing Theories and Application. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63312-1_21.

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Montesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "Bayesian Genomic Linear Regression." In Multivariate Statistical Machine Learning Methods for Genomic Prediction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_6.

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AbstractThe Bayesian paradigm for parameter estimation is introduced and linked to the main problem of genomic-enabled prediction to predict the trait of interest of the non-phenotyped individuals from genotypic information, environment variables, or other information (covariates). In this situation, a convenient practice is to include the individuals to be predicted in the posterior distribution to be sampled. We explained how the Bayesian Ridge regression method is derived and exemplified with data from plant breeding genomic selection. Other Bayesian methods (Bayes A, Bayes B, Bayes C, and

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Sukumaran, Sivakumar, Greg Rebetzke, Ian Mackay, Alison R. Bentley, and Matthew P. Reynolds. "Pre-breeding Strategies." In Wheat Improvement. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_25.

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AbstractIn general terms, pre-breeding links needed traits to new varieties and encompasses activities from discovery research, exploration of gene banks, phenomics, genomics and breeding. How does pre-breeding given its importance differ from varietal-based breeding? Why is pre-breeding important? Pre-breeding identifies trait or trait combinations to help boost yield, protect it from biotic or abiotic stress, and enhance nutritional or quality characteristics of grain. Sources of new traits/alleles are typically found in germplasm banks, and include the following categories of ‘exotic’ mater

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da Silva Pereira, Guilherme, Carla Cristina da Silva, João Ricardo Bachega Feijó Rosa, et al. "New Analytical Tools for Molecular Mapping of Quantitative Trait Loci in Sweetpotato." In Compendium of Plant Genomes. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-65003-1_6.

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AbstractQuantitative trait loci(QTL) mapping is an important tool in sweetpotato research, contributing to the understanding of genetic architecture of various traits, including dry matter, nematode resistance, and flesh color. Early QTL work was carried out by using marker information alone via single marker analysis (SMA), or based on parent-specific linkage map using interval mapping (IM), composite interval mapping (CIM), and multiple interval mapping (MIM). Initially developed for inbred diploid species populations, these methods did not fully consider the complex autopolyploid, outcrossi

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Mukhopadhyay, CS, and Bhawanpreet Kaur. "Applications of Tag-SNPs in Quantitative Trait Loci (QTL) Identification." In Genomic, Proteomics, and Biotechnology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220831-6.

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Shi, Shaolei, Zhe Zhang, Bingjie Li, Shengli Zhang, and Lingzhao Fang. "Incorporation of Trait-Specific Genetic Information into Genomic Prediction Models." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2205-6_11.

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Pandey, Sarita, Abhishek Anand, Monika Jain, Shuvadeep Halder, and Md Kamaruzzaman. "Genomic Strategies for Enhancing Quantitative and Qualitative Traits in Tomato." In Omics Approaches for Tomato Yield and Quality Trait Improvement. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3890-1_17.

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Yunus, Mohd Hadi, Aliya Firdaus, Zeba Khan, and Mohd Yunus Khalil Ansari. "Genomics-Assisted Breeding (GAB) for Trait Improvement: Unveiling Genomic Strategies for Accelerated Crop Enhancement." In CABI Biotechnology Series. CABI, 2025. https://doi.org/10.1079/9781800626638.0007.

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Actas de conferencias sobre el tema "Genomic trait"

Beyer, Andreas, Silpa Suthram, and Trey Ideker. "Uncovering Regulatory Pathways with Expression Quantitative Trait Loci." In 2007 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2007. http://dx.doi.org/10.1109/gensips.2007.4365837.

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Schmidtmann, C., D. Segelke, J. Bennewitz, J. Tetens, and G. Thaller. "284. Considering chromosomal trait correlations improves accuracy of genomic prediction." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_284.

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Meyer, K. "361. Accounting for trait-specific genomic and residual polygenic covariances in multivariate single-step genomic evaluation." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_361.

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Akanno, E. C., D. M. Thekkoot, C. Zhang, C. Bierman, G. Plastow, and R. A. Kemp. "300. Multi-trait genomic estimation of genetic parameters for growth and carcass traits of Duroc pigs." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_300.

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Mamani, G. C., B. F. Santana, and D. Jarquin. "809. Assessing genomic prediction of economic trait in alpacas: a simulation study." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_809.

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COMERON, JOSEP M., MARTIN KREITMAN, and FRANCISCO M. DE LA VEGA. "ON THE POWER TO DETECT SNP/PHENOTYPE ASSOCIATION IN CANDIDATE QUANTITATIVE TRAIT LOCI GENOMIC REGIONS: A SIMULATION STUDY." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776303_0045.

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El-Attar, Noha E., and Yehia A. El-Mashad. "Artificial intelligence models for genomics analysis: review article." In Agria Média 2023 és ICI-17 Információ- és Oktatástechnológiai konferencia. Eszterházy Károly Katolikus Egyetem Líceum Kiadó, 2024. http://dx.doi.org/10.17048/am.2023.134.

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Artificial intelligence (AI) including machine learning (ML), and deep learning (DL) models have become powerful tools for analyzing genomics data in recent years. These models can process large amounts of data and identify complex patterns that may not be apparent through traditional statistical methods. ML and DL models have been used for a wide range of genomics applications, including gene expression analysis, variant detection, and drug discovery. One popular approach for using ML and DL models in genomics is to train these models on large datasets of genomic information. These datasets m

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"Marker-trait associations for agronomic traits in soybean harvested in Kazakhstan." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-213.

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Verweij, C. L., R. Quadt, E. Briët, and H. Pannekoek. "TWO VON WILLEBRAND FACTOR (vWF) GENE POLYMORPHISMS SEGREGATE WITH VON WILLEBRAND'S DISEASE (vWD) TYPE IIA: ASSIGNMENT OF THE DEFECTIVE GENE LOCUS IN vWD TYPE IIA." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644646.

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Patients with autosomal, dominant von Willebrand's disease (vWD) type IIA display a decreasedristocetin cofactor activity and lack the large and intermediate size von Willebrand factor (vWF) multimers. As yet the cause for this abnormal vWF protein is not known. In this study we determined whether vWD type IIA is due to a mutation in the vWF gene or by a defect in another gene involved, in for example, vWF processing.Restriction fragment-length polymorphisms (RFLP's), using the enzymes BgIII and XbaI in conjunction with human vWF cDNA probes, have been described. Restriction endonuclease analy

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Mansour, O., D. M. Danilenko, and A. B. Komissarov. "DEVELOPMENT OF PRIMER PANEL FOR AMPLICON SEQUENCING OF HUMAN PARAINFLUENZA VIRUS TYPE 3." In XI МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ МОЛОДЫХ УЧЕНЫХ: БИОИНФОРМАТИКОВ, БИОТЕХНОЛОГОВ, БИОФИЗИКОВ, ВИРУСОЛОГОВ, МОЛЕКУЛЯРНЫХ БИОЛОГОВ И СПЕЦИАЛИСТОВ ФУНДАМЕНТАЛЬНОЙ МЕДИЦИНЫ. IPC NSU, 2024. https://doi.org/10.25205/978-5-4437-1691-6-173.

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Human parainfluenza viruses (hPIVs) are prominent etiological causes of acute respiratory tract infections. Genomic surveillance of hPIVs is not carried out in Russia. To date, there are no whole sequence data available that would allow for detailed epidemiological and phylogenetic analysis of circulating strains. This research aimed to develop primer panels for sequencing the whole viral genome of hPIV3 and describe the genetic diversity of these viruses.

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Informes sobre el tema "Genomic trait"

Sherman, A., D. N. Kuhn, Y. Cohen, R. Ophir, and R. Goenaga. Exploring the polyembryonic seed trait in mango as a basis for a biotechnology platform for fruit tree crops. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134176.bard.

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Mango is one of the most important fruit crops. However, the biology of this fruit tree is under studied. The lack of genetic and genomic resources has limited progress in mango research and breeding. Several research groups have recently started developing genomic tools for mango by creating transcriptome and genomic data. Sexual reproduction in plants is the main pathway for the creation of new genetic combinations. In modern agriculture, breeders exploit the genetic diversity generated through sexual reproduction to develop elite cultivars; however, these cultivars require genetic stabiliza

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Weller, Joel I., Derek M. Bickhart, Micha Ron, Eyal Seroussi, George Liu, and George R. Wiggans. Determination of actual polymorphisms responsible for economic trait variation in dairy cattle. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600017.bard.

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The project’s general objectives were to determine specific polymorphisms at the DNA level responsible for observed quantitative trait loci (QTLs) and to estimate their effects, frequencies, and selection potential in the Holstein dairy cattle breed. The specific objectives were to (1) localize the causative polymorphisms to small chromosomal segments based on analysis of 52 U.S. Holstein bulls each with at least 100 sons with high-reliability genetic evaluations using the a posteriori granddaughter design; (2) sequence the complete genomes of at least 40 of those bulls to 20 coverage; (3) de

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Weller, Joel I., Ignacy Misztal, and Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7594404.bard.

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The main objectives of this research was to detect the specific polymorphisms responsible for observed quantitative trait loci and develop optimal strategies for genomic evaluations and selection for moderate (Israel) and large (US) dairy cattle populations. A joint evaluation using all phenotypic, pedigree, and genomic data is the optimal strategy. The specific objectives were: 1) to apply strategies for determination of the causative polymorphisms based on the “a posteriori granddaughter design” (APGD), 2) to develop methods to derive unbiased estimates of gene effects derived from SNP chips

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Seroussi, Eyal, and George Liu. Genome-Wide Association Study of Copy Number Variation and QTL for Economic Traits in Holstein Cattle. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7593397.bard.

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Copy number variation (CNV) has been recently identified in human and other mammalian genomes and increasing awareness that CNV might be a major source for heritable variation in complex traits has emerged. Despite this, little has been published on CNVs in Holsteins. In order to fill this knowledge-gap, we proposed a genome-wide association study between quantitative trait loci (QTL) for economic traits and CNV in the Holstein cattle. The approved feasibility study was aimed at the genome-wide characterization of CNVs in Holstein cattle and at the demonstrating of their possible association w

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Dechow, Chad Daniel, M. Cohen-Zinder, Morris Soller, et al. Genotypes and phenotypes of telomere length in Holstein cattle, actors or reporters. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134156.bard.

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Selection programs aiming at improving health and survival in cattle are complicated by low heritability estimates, the fact that true herd life and carcass quality is not known until the end of an animal's life, and that many health conditions manifest late in life. Young animals are now heavily favored in breeding programs because low generation intervals accelerate the rate of genetic progress, which means selection decisions must be made before phenotypic observation of health and survival is feasible. Moreover, profitability is compromised when livestock producers raise animals that fail

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Fridman, Eyal, Jianming Yu, and Rivka Elbaum. Combining diversity within Sorghum bicolor for genomic and fine mapping of intra-allelic interactions underlying heterosis. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597925.bard.

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Heterosis, the enigmatic phenomenon in which whole genome heterozygous hybrids demonstrate superior fitness compared to their homozygous parents, is the main cornerstone of modern crop plant breeding. One explanation for this non-additive inheritance of hybrids is interaction of alleles within the same locus. This proposal aims at screening, identifying and investigating heterosis trait loci (HTL) for different yield traits by implementing a novel integrated mapping approach in Sorghum bicolor as a model for other crop plants. Originally, the general goal of this research was to perform a gene

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Seroussi, E., L. Ma, and G. Liu. Genetic analyses of recombination and PRDM9 alleles and their implications in dairy cattle breeding. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134158.bard.

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Meiotic recombination is one of the important phenomena contributing to gamete genome diversity. However, it is not well studied in livestock including cattle. The general objectives of this project were to perform genetic analyses of recombination and PRDM9 alleles and study their implications in dairy cattle breeding. The specific objectives were: 1. Analyze variation in recombination across individuals, breeds, and environments; 1.1.Construct individual-level recombination maps; 1.2.Compare recombination features between bulls held under different environmental conditions in US and Israeli;

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Abbott, Albert G., Doron Holland, Douglas Bielenberg, and Gregory Reighard. Structural and Functional Genomic Approaches for Marking and Identifying Genes that Control Chilling Requirement in Apricot and Peach Trees. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591742.bard.

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Structural and functional genomic approaches for marking and identifying genes that control chilling requirement in apricot and peach trees. Specific aims: 1) Identify and characterize the genetic nature of chilling requirement for flowering and dormancy break of vegetative shoots in Prunusgermplasm through the utilization of existing apricot (NeweYa'ar Research Center, ARO) and peach (Clemson University) genetic mapping populations; 2) Use molecular genetic mapping techniques to identify markers flanking genomic regions controlling chilling; 3) Comparatively map the regions controlling chilli

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Ozias-Akins, P., and R. Hovav. molecular dissection of the crop maturation trait in peanut. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134157.bard.

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Crop maturation is one of the most recognized characteristics of peanut, and it is crucial for adaptability and yield. However, not much is known regarding its genetic and molecular control. The goals of this project were to study the molecular-genetic components that control crop maturation in peanut and identify candidate genes. Crop maturation was studied directly by phenotyping the maturity level or through other component traits such as flowering pattern and branching habit. Six different RIL populations (HH, RR, CC, FNC, TGT and FLIC) were used for the genetic analysis. In total, 14 QTLs

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Grumet, R., J. Burger, Y. Tadmor, et al. Cucumis fruit surface biology: Genetic analysis of fruit exocarp features in melon (C. melo) and cucumber (C. sativus). United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134155.bard.

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The fruit surface (exocarp) is a unique tissue with multiple roles influencing fruit growth and development, disease susceptibility, crop yield, post-harvest treatments, shipping and storage quality, and food safety. Furthermore, highly visible exocarp traits are the consumer's first exposure to the fruit, serving to identify fruit type, variety, attractiveness, and market value. Cucurbit fruit, including the closely related Cucumis species, melon (C. melo) and cucumber (C. sativus), exhibit tremendous diversity for fruit surface properties that are not present in model species. In this projec

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