Thematische Bibliographien / Non-Additive genetic effects

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Buchteile
  4. Konferenzberichte
  5. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Non-Additive genetic effects“

Autor: Grafiati
Veröffentlicht am 11. Januar 2025

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Zeitschriftenartikel zum Thema "Non-Additive genetic effects"

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Oliveira, Leticia F., Luiz F. F. Brito, Jay S. Johnson, and Renata Veroneze. "PSXII-3 Including Non-Additive Genetic Effects in Genomic Prediction and Estimation of Variance Components for Performance and Heat Stress Traits in Pigs." Journal of Animal Science 101, Supplement_3 (2023): 345–46. http://dx.doi.org/10.1093/jas/skad281.410.

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Abstract Non-additive genetic effects may have important roles in the phenotypic expression of performance and adaptation traits in livestock. Therefore, we aimed to evaluate the inclusion of non-additive genetic effects in genomic prediction models and variance component estimation of performance traits in a purebred pig population and heat tolerance indicators in a crossbred pig population. The first dataset consisted of 3,534 individuals with genotypes for 52,843 SNPs and five pre-adjusted phenotypes from a public database of a purebred pig line. Twelve models fitting or not dominance and/o
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Pessoa, Angela Maria dos S., Elizanilda R. do Rêgo, and Maílson M. do Rêgo. "Additive and non-additive genetic effects for fruit traits of ornamental pepper." Horticultura Brasileira 39, no. 1 (2021): 39–45. http://dx.doi.org/10.1590/s0102-0536-20210106.

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ABSTRACT Pepper plants can be used as ornamental ones due to the contrasting traits of plants, flowers, and especially fruits. This variability can be exploited in genetic improvement programs aiming at identifying superior genotypes and obtaining hybrids. This work aimed to select parental and hybrid individuals through diallel analysis for fruit traits in Capsicum annuum. Seven pepper genotypes were crossed, and eleven fruit-related quantitative traits were evaluated. The data were subjected to diallel analysis using Griffing’s Method 1 (fixed model). There was a predominance of additive gen
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Guillenea, Ana, Mario Lema, Diego Gimeno, Olga Ravagnolo, and Ana Carolina Espasandín. "Additive and non-additive effects for mature weight in beef cattle." Archivos Latinoamericanos de Producción Animal 28, no. 1-2 (2020): 19–28. http://dx.doi.org/10.53588/alpa281204.

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Selection has emphasized animal growth, leading to an increase in their mature size affecting in some cases the pregnancy of the cows and the efficiency of the systems. Usually, crossbreeding improve productivity because of the genetic effects that the cows exploit, but the impact on mature weight (MW) has not been studied. The present study aimed at estimating MW and genetic parameters associated with the MW in crosses between two British breeds: Hereford (H/H) and Angus (A/A), a Continental: Salers (S/S), and a Zebu: Nelore (N/N). MW was analyzed at 4; 4.5; 5; 5.5 and 6 years of age using a
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Yadav, Seema, Xianming Wei, Priya Joyce, et al. "Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects." Theoretical and Applied Genetics 134, no. 7 (2021): 2235–52. http://dx.doi.org/10.1007/s00122-021-03822-1.

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Abstract Key message Non-additive genetic effects seem to play a substantial role in the expression of complex traits in sugarcane. Including non-additive effects in genomic prediction models significantly improves the prediction accuracy of clonal performance. Abstract In the recent decade, genetic progress has been slow in sugarcane. One reason might be that non-additive genetic effects contribute substantially to complex traits. Dense marker information provides the opportunity to exploit non-additive effects in genomic prediction. In this study, a series of genomic best linear unbiased pre
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Taye, Shambel, and Mahilet Dawit. "Additive and Non-additive Genetic Effects on Growth and Egg Production Performance of Crossbred Chicken in Ethiopia." International Journal of Animal Science and Technology 8, no. 4 (2024): 106–11. https://doi.org/10.11648/j.ijast.20240804.13.

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The present review article aims to provide an overview of the additive and non-additive genetic effects of crossbreeding and their contribution to the improvement of growth and egg production traits in chickens. It discusses the advancement in crossbreeding effects and mating design contribution to a significant rate of genetic progress in indigenous chicken. In Ethiopia, crossbreeding practice may be used to enhance the performance of local chicken ecotypes. The article extensively reviews various papers related to crossbreeding trials conducted in Ethiopia, evaluating their effectiveness in
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de Almeida Filho, Janeo Eustáquio, João Filipi Rodrigues Guimarães, Fabyano Fonsceca e Silva, et al. "Genomic Prediction of Additive and Non-additive Effects Using Genetic Markers and Pedigrees." G3: Genes|Genomes|Genetics 9, no. 8 (2019): 2739–48. http://dx.doi.org/10.1534/g3.119.201004.

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Barbosa, Leandro, Paulo Sávio Lopes, Adair José Regazzi, Robledo de Almeida Torres, Mário Luiz Santana Júnior, and Renata Veroneze. "Estimation of variance components, genetic parameters and genetic trends for litter size of swines." Revista Brasileira de Zootecnia 39, no. 10 (2010): 2155–59. http://dx.doi.org/10.1590/s1516-35982010001000008.

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Records of Large White breed animals were used to estimate variance components, genetic parameters and trends for the character total number of born piglets (TNBP) as measure of litter size. For obtaining variance components and genetic parameters, it was used the Restricted Maximum Likelihood Method using MTDFREML software. Two mixed models (additive and repeatability) were evaluated. The additive model contained fixed effect of the contemporary group and the following random effects: direct additive genetic and residual effect for the first parturition. Repeatability model had the same effec
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Cui, Leilei, Bin Yang, Nikolas Pontikos, Richard Mott, and Lusheng Huang. "ADDO: a comprehensive toolkit to detect, classify and visualize additive and non-additive quantitative trait loci." Bioinformatics 36, no. 5 (2019): 1517–21. http://dx.doi.org/10.1093/bioinformatics/btz786.

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Abstract Motivation During the past decade, genome-wide association studies (GWAS) have been used to map quantitative trait loci (QTLs) underlying complex traits. However, most GWAS focus on additive genetic effects while ignoring non-additive effects, on the assumption that most QTL act additively. Consequently, QTLs driven by dominance and other non-additive effects could be overlooked. Results We developed ADDO, a highly efficient tool to detect, classify and visualize QTLs with additive and non-additive effects. ADDO implements a mixed-model transformation to control for population structu
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Kelleher, M. M., F. Buckley, R. D. Evans, and D. P. Berry. "Additive genetic, non-additive genetic and permanent environmental effects for female reproductive performance in seasonal calving dairy females." Irish Journal of Agricultural and Food Research 55, no. 1 (2016): 10–23. http://dx.doi.org/10.1515/ijafr-2016-0002.

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AbstractExcellent reproductive performance (i.e. 365-day calving interval) is paramount to herd profit in seasonal-calving dairy systems. Reproductive targets are currently not being achieved in Irish dairy herds. Furthermore, most research on the genetics of reproductive performance in dairy cattle has focused primarily on lactating cows and relatively few studies have attempted to quantify the genetic contribution to differences in reproductive performance in nulliparae. The objective of the present study was to estimate the contribution of both the additive and non-additive genetic componen
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GIANOLA, DANIEL, and GUSTAVO de los CAMPOS. "Inferring genetic values for quantitative traits non-parametrically." Genetics Research 90, no. 6 (2008): 525–40. http://dx.doi.org/10.1017/s0016672308009890.

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SummaryInferences about genetic values and prediction of phenotypes for a quantitative trait in the presence of complex forms of gene action, issues of importance in animal and plant breeding, and in evolutionary quantitative genetics, are discussed. Current methods for dealing with epistatic variability via variance component models are reviewed. Problems posed by cryptic, non-linear, forms of epistasis are identified and discussed. Alternative statistical procedures are suggested. Non-parametric definitions of additive effects (breeding values), with and without employing molecular informati
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Dissertationen zum Thema "Non-Additive genetic effects"

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Pante, Maria Josefa Rull. "Inbreeding effects and estimation of additive and non-additive genetic variances for growth of rainbow trout (Oncorhynchus mykiss)." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ35809.pdf.

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Gonzalez, Dieguez David. "Genomic selection accounting for non-additive genetic effects in pig and corn crossbreeding schemes." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0078.

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Cette thèse explore et développe des méthodes pour exploiter les effets génétiques de dominance ou/et d'épistasie sur des modèles de sélection génomique dans les schémas de sélection utilisant le croisement chez le porc et le maïs. Le Chapitre 2 a consisté à estimer et à exploiter la variance de dominance intra-race à travers des stratégies de planification des accouplements pour maximiser le progrès génétique global de l’âge à 100 kg (AGE), de l’épaisseur de lard dorsal (BD) et du poids moyen des porcelets par portée (APWL), dans une population porcine de race Landrace française. La maximisat
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Gendre, Blandine. "Recherche agnostique d'effets génétiques non additifs à partir de données génétiques pan-génomiques : application à l'étude de facteurs de la coagulation." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0324.

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Les études d'association pan-génomiques (GWAS) ont révolutionné ces 15 dernières années la recherche en génétique humaine en permettant l'identification de milliers de variants génétiques associés à des maladies complexes comme les maladies cardiovasculaires et des traits biologiques comme des facteurs de la coagulation. Toutefois, ces études reposent principalement sur des modèles additifs qui ne permettent pas de capturer toute la complexité des mécanismes génétiques qui peuvent être mis en jeu. Les interactions entre gènes (épistasie), entre gènes et facteurs environnementaux ainsi que les
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Sokolovska, Natalia. "Estimation of additive and non-additive effects in traits related to growth, adult size, fecundity and flight in the cricket : Gryllus firmus." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79131.

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Non-additive effects may affect the evolution of populations by lowering the heritability of the traits that they affect, thus causing inbreeding depression within populations and playing a role in the conversion of non-additive into additive variation during bottlenecks and in the evolution and maintenance of negative genetic correlations between traits (Crnokrak and Roff 1995, Wolf et al. 2000). Furthermore, dominance variance should be present to a greater degree in traits closer to fitness (Crnokrak and Roff 1995). This study uses diallel cross analyses of inbred lines of the sand c
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Diaz, Johanna Ramirez. "Inclusão de efeitos genéticos não aditivos na avaliação de características de crescimento e carcaça em bovinos compostos (Bos taurus x Bos indicus)." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11139/tde-30042014-113108/.

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Nas últimas décadas, a produção e exportação de carne bovina no Brasil consolidaram o país como um importante fornecedor no mercado internacional. No ano de 2012 o Brasil produziu aproximadamente 17% da demanda mundial de carne, exportando 1.325 milhão de toneladas (USDA, 2012). No entanto, apesar desta posição privilegiada, a produção brasileira é caracterizada pela criação extensiva dos animais e pela baixa qualidade do produto final. O rebanho é composto basicamente por animais Bos indicus e seus cruzamentos, com predominância da raça Nelore. Estes animais, por sua vez, apresentam ótima ada
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Nickolas, H. "Genetic architecture of economic traits in Eucalyptus globulus." Thesis, 2020. https://eprints.utas.edu.au/35903/1/Nickolas_whole_thesis.pdf.

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This thesis addresses several key issues related to the genetic architecture of traits relevant to the genetic improvement of Eucalypts globulus for pulpwood and solid wood production. It comprises three main studies, that address (i) the long-term effect of inbreeding, (ii) the genetic association between pulp-wood and solid wood selection traits and (iii) the importance of non-additive genetic effects. The long-term effect of inbreeding was studied using a 28 year-old field trial comprising outcrossed, selfed and open-pollinated (OP) families of Eucalyptus globulus and a commonly cooccurri
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Buchteile zum Thema "Non-Additive genetic effects"

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Owen, Michael J., Peter McGuffin, and Irving I. Gottesman. "The future and post-genomic psychiatry." In Psychiatric Genetics and Genomics. Oxford University PressNew York, NY, 2002. http://dx.doi.org/10.1093/oso/9780192631480.003.0017.

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Abstract Research in psychiatric genetics is not for the fainthearted. Mental disorders pose great challenges to genetic analyses because, in the majority of cases, they result from the predisposing effects of alleles at an unknown number of different genes, as well as environmental influences. Further complexities include the likelihood of non-additive genetic effects, including gene–gene interactions (epistasis), and potential gene–environment (physical and experiential) interactions. Genetic complexity is compounded by possible epigenetic factors (Gottesman 2001; Petronis 2001), stochastic effects (McGuffin et al. 1994; Woolf 1997) and nosological complexity and uncertainty.
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E. Mitrousi, Konstantina, Emma C. Hart, Mark C.K. Hamilton, and Nathan E. Manghat. "Hypertension with a Focus on Comprehensive Magnetic Resonance Imaging." In Hypertension [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103697.

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Arterial hypertension is a leading cause of mortality, affecting at least a quarter of the adult population, with its effects having devastating consequences to the global economy. Unfortunately, the underlying causes and pathophysiology of the disease often remain unclear. Ongoing research in this important field investigates the mechanisms involved in the genesis of hypertension. Magnetic resonance imaging is a well-established imaging technique that is widely used for anatomical organ and vascular evaluation. According to the latest European Society of Hypertension (ESC) guidelines, cardiovascular magnetic resonance can be used in the assessment of hypertensive patients. But the authors advocate a more comprehensive and multisystem use of the varied and novel sequences of MRI scanners to provide an even better understanding of the development of hypertension and its consequences. The extensive and detailed data that can be derived, with the additive focus on the concept of the ‘selfish brain hypothesis’, might further assist us in altering and providing a more individualised therapeutic approach to one of the greatest non-communicable causes of human mortality and morbidity.
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Brack, Graham, Penny Franklin, and Jill Caldwell. "Principles of Pharmacology." In Medicines management for nursing practice. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199697878.003.0009.

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From the previous chapters you will see that understanding the pharmacological aspects of the drugs you are administering is vital to keeping your patients safe. Nurses need to understand the pharmacodynamics of a medicine, or how it actually works within the body, since this will need to be explained to patients and carers. For example, how will you ensure that a patient understands the importance of taking their treatment for hypertension (especially if they are experiencing no symptoms) if you are unable to explain how the medicine will be working? Similarly, your understanding of the pharmacokinetics (the absorption, distribution, metabolism, and excretion) of individual medicines is vital to ensure compromised patients are not administered inappropriate medicines. For example, you would question the prescribing of a non-steroidal anti-inflammatory drug (NSAID) to a patient with significant renal impairment, because the kidney is essential to the elimination of NSAIDs so the drug could accumulate if the kidneys are not functioning properly. From the point of view of ensuring patient safety, you will need to understand the principles of drug interactions so that you can understand how two medicines (or food and medicine) could interact and be alert to signs that this may be happening. There are several good textbooks dealing with the uses and actions of individual medicines, including interactions. However, these will not be discussed here because at this stage of your career you are not expected to have a detailed knowledge of particular medicines, but rather an understanding of the key principles. As nurses, we are concerned with how the body handles medicines (pharmacokinetics) so that we can see how this may be affected by age, genetics, or illness, and how the actions of medicines may conflict with one another or produce toxicity because their effects are additive. Equally, we need to look at occasions in which two medicines produce the same response by two different routes; such interactions can be beneficial to the patient and avoid having to give large doses of a single medicine because the same result can be achieved with smaller doses of two medicines, thereby reducing the risk of adverse effects.
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Konferenzberichte zum Thema "Non-Additive genetic effects"

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Inoue, K., M. Nishio, Y. Inoue, M. Takeda, and H. Hirooka. "651. Genomic prediction with non-additive genetic effects for carcass weight and beef marbling in Japanese Black cattle." In World Congress on Genetics Applied to Livestock Production. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_651.

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Baldauf, Niklas, Alen Turnwald, Toni Lubiniecki, Kristin Lakatos, and Nickolaos Panagiotopoulos. "Learning-based motion control of a rover on unknown ground." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-061.

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This paper presents the current status and scientific approaches from the ESA project DeLeMIS. Within that, e:fs and DLR Robotics investigate state-of-the-art approaches of self-learning methods to enable improvements in planetary space missions. The main objective of DeLeMIS is the autonomous navigation of a rover on unknown terrain without human intervention. To this end, algorithms from the latest research in the AI and control engineering community are used for environmental perception and behaviour control. On the one hand, the rover is supposed to learn the ground conditions of different
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Berichte der Organisationen zum Thema "Non-Additive genetic effects"

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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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Smith, Margaret, Nurit Katzir, Susan McCouch, and Yaakov Tadmor. Discovery and Transfer of Genes from Wild Zea Germplasm to Improve Grain Oil and Protein Composition of Temperate Maize. United States Department of Agriculture, 1998. http://dx.doi.org/10.32747/1998.7580683.bard.

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Project Objectives 1. Develop and amplify two interspecific populations (annual and perennial teosintes x elite maize inbred) as the basis for genetic analysis of grain quality. 2. Identify quantitative trait loci (QTLs) from teosinte that improve oil, protein, and essential amino acid composition of maize grain. 3. Develop near isogenic lines (NILs) to quantify QTL contributions to grain quality and as a resource for future breeding and gene cloning efforts. 4. Analyze the contribution of these QTLs to hybrid performance in both the US and Israel. 5. Measure the yield potential of improved gr
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Smith, Margaret, Nurit Katzir, Susan McCouch, and Yaakov Tadmor. Discovery and Transfer of Genes from Wild Zea Germplasm to Improve Grain Oil and Protein Composition of Temperate Maize. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7695846.bard.

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Project Objectives 1. Develop and amplify two interspecific populations (annual and perennial teosintes x elite maize inbred) as the basis for genetic analysis of grain quality. 2. Identify quantitative trait loci (QTLs) from teosinte that improve oil, protein, and essential amino acid composition of maize grain. 3. Develop near isogenic lines (NILs) to quantify QTL contributions to grain quality and as a resource for future breeding and gene cloning efforts. 4. Analyze the contribution of these QTLs to hybrid performance in both the US and Israel. 5. Measure the yield potential of improved gr
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Reisch, Bruce, Avichai Perl, Julie Kikkert, Ruth Ben-Arie, and Rachel Gollop. Use of Anti-Fungal Gene Synergisms for Improved Foliar and Fruit Disease Tolerance in Transgenic Grapes. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7575292.bard.

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Original objectives . 1. Test anti-fungal gene products for activity against Uncinula necator, Aspergillus niger, Rhizopus stolonifer and Botrytis cinerea. 2. For Agrobacterium transformation, design appropriate vectors with gene combinations. 3. Use biolistic bombardment and Agrobacterium for transformation of important cultivars. 4. Characterize gene expression in transformants, as well as level of powdery mildew and Botrytis resistance in foliage of transformed plants. Background The production of new grape cultivars by conventional breeding is a complex and time-consuming process. Transfer
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