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Testing New Genetic And Genomic Approaches For Trait Mapping And Prediction In Wheat Triticum Aestivum And Rice Oryza Spp
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Book Synopsis Testing New Genetic and Genomic Approaches for Trait Mapping and Prediction in Wheat (Triticum Aestivum) and Rice (Oryza Spp). by : Olufunmilayo Olubukola Ladejobi
Download or read book Testing New Genetic and Genomic Approaches for Trait Mapping and Prediction in Wheat (Triticum Aestivum) and Rice (Oryza Spp). written by Olufunmilayo Olubukola Ladejobi and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genomic Approaches for Mapping and Predicting Disease Resistance in Wheat (Triticum Aestivum L.) by : Cristiano Lemes Da Silva
Download or read book Genomic Approaches for Mapping and Predicting Disease Resistance in Wheat (Triticum Aestivum L.) written by Cristiano Lemes Da Silva and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 pathogens, acceptable end-use quality, and high yield potential. Genetic host resistance stands out from other management strategies as the most viable option for controlling diseases. New genotyping platforms allow whole genome marker discovery at a relatively low cost, favoring the identification of novel loci underlying traits of interest. The work presented here describes genomic approaches for mapping and predicting the resistance to Fusarium head blight (FHB) and wheat rusts. The first study used biparental mapping to identify quantitative trait loci (QTL) associated with Fusarium head blight (FHB) resistance. A doubled haploid population (DH) was originated from a cross of Everest and WB-Cedar, which are widely grown wheat cultivars in Kansas with moderately resistant and moderately susceptible reactions to FHB, respectively. We confirmed that neither of the parents carry known large-effect QTLs, suggesting that FHB resistance is native. Eight small-effect QTLs were identified as associated with multiple mechanisms of FHB resistance. All QTLs had additive effects, providing significant improvements in levels of resistance when they were found in combinations within DH lines. In the second study, a genome-wide association mapping (GWAS) and genomic selection (GS) models were applied for FHB resistance in a panel of 962 elite lines from the K-State Wheat Breeding Program. Significant single nucleotide polymorphisms (SNPs) associated with the percentage of symptomatic spikelets were identified but not reproducible across breeding panels tested in each year. Accuracy of predictions ranged from 0.25 to 0.51 depending on GS model, indicating that it can be a useful tool to increase levels of FHB resistance. GWAS and GS approaches were also applied to a historical dataset to identify loci underlying resistance to leaf and stem rust at seedling stage in a panel of elite winter wheat lines. Infection types of multiple races of wheat rusts from the last sixteen years of the Southern Regional Performance Nursery (SRPN) were used in this study. A total of 533 elite lines originating from several breeding programs were tested in the SRPN during this period of time. GWAS identified significant SNP-trait associations for wheat rusts, confirming the effectiveness of already known genes and revealing potentially novel loci associated with resistance.
Book Synopsis Quantitative Genetics in Maize Breeding by : Arnel R. Hallauer
Download or read book Quantitative Genetics in Maize Breeding written by Arnel R. Hallauer and published by Springer Science & Business Media. This book was released on 2010-09-28 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maize is used in an endless list of products that are directly or indirectly related to human nutrition and food security. Maize is grown in producer farms, farmers depend on genetically improved cultivars, and maize breeders develop improved maize cultivars for farmers. Nikolai I. Vavilov defined plant breeding as plant evolution directed by man. Among crops, maize is one of the most successful examples for breeder-directed evolution. Maize is a cross-pollinated species with unique and separate male and female organs allowing techniques from both self and cross-pollinated crops to be utilized. As a consequence, a diverse set of breeding methods can be utilized for the development of various maize cultivar types for all economic conditions (e.g., improved populations, inbred lines, and their hybrids for different types of markets). Maize breeding is the science of maize cultivar development. Public investment in maize breeding from 1865 to 1996 was $3 billion (Crosbie et al., 2004) and the return on investment was $260 billion as a consequence of applied maize breeding, even without full understanding of the genetic basis of heterosis. The principles of quantitative genetics have been successfully applied by maize breeders worldwide to adapt and improve germplasm sources of cultivars for very simple traits (e.g. maize flowering) and very complex ones (e.g., grain yield). For instance, genomic efforts have isolated early-maturing genes and QTL for potential MAS but very simple and low cost phenotypic efforts have caused significant and fast genetic progress across genotypes moving elite tropical and late temperate maize northward with minimal investment. Quantitative genetics has allowed the integration of pre-breeding with cultivar development by characterizing populations genetically, adapting them to places never thought of (e.g., tropical to short-seasons), improving them by all sorts of intra- and inter-population recurrent selection methods, extracting lines with more probability of success, and exploiting inbreeding and heterosis. Quantitative genetics in maize breeding has improved the odds of developing outstanding maize cultivars from genetically broad based improved populations such as B73. The inbred-hybrid concept in maize was a public sector invention 100 years ago and it is still considered one of the greatest achievements in plant breeding. Maize hybrids grown by farmers today are still produced following this methodology and there is still no limit to genetic improvement when most genes are targeted in the breeding process. Heterotic effects are unique for each hybrid and exotic genetic materials (e.g., tropical, early maturing) carry useful alleles for complex traits not present in the B73 genome just sequenced while increasing the genetic diversity of U.S. hybrids. Breeding programs based on classical quantitative genetics and selection methods will be the basis for proving theoretical approaches on breeding plans based on molecular markers. Mating designs still offer large sample sizes when compared to QTL approaches and there is still a need to successful integration of these methods. There is a need to increase the genetic diversity of maize hybrids available in the market (e.g., there is a need to increase the number of early maturing testers in the northern U.S.). Public programs can still develop new and genetically diverse products not available in industry. However, public U.S. maize breeding programs have either been discontinued or are eroding because of decreasing state and federal funding toward basic science. Future significant genetic gains in maize are dependent on the incorporation of useful and unique genetic diversity not available in industry (e.g., NDSU EarlyGEM lines). The integration of pre-breeding methods with cultivar development should enhance future breeding efforts to maintain active public breeding programs not only adapting and improving genetically broad-based germplasm but also developing unique products and training the next generation of maize breeders producing research dissertations directly linked to breeding programs. This is especially important in areas where commercial hybrids are not locally bred. More than ever public and private institutions are encouraged to cooperate in order to share breeding rights, research goals, winter nurseries, managed stress environments, and latest technology for the benefit of producing the best possible hybrids for farmers with the least cost. We have the opportunity to link both classical and modern technology for the benefit of breeding in close cooperation with industry without the need for investing in academic labs and time (e.g., industry labs take a week vs months/years in academic labs for the same work). This volume, as part of the Handbook of Plant Breeding series, aims to increase awareness of the relative value and impact of maize breeding for food, feed, and fuel security. Without breeding programs continuously developing improved germplasm, no technology can develop improved cultivars. Quantitative Genetics in Maize Breeding presents principles and data that can be applied to maximize genetic improvement of germplasm and develop superior genotypes in different crops. The topics included should be of interest of graduate students and breeders conducting research not only on breeding and selection methods but also developing pure lines and hybrid cultivars in crop species. This volume is a unique and permanent contribution to breeders, geneticists, students, policy makers, and land-grant institutions still promoting quality research in applied plant breeding as opposed to promoting grant monies and indirect costs at any short-term cost. The book is dedicated to those who envision the development of the next generation of cultivars with less need of water and inputs, with better nutrition; and with higher percentages of exotic germplasm as well as those that pursue independent research goals before searching for funding. Scientists are encouraged to use all possible breeding methodologies available (e.g., transgenics, classical breeding, MAS, and all possible combinations could be used with specific sound long and short-term goals on mind) once germplasm is chosen making wise decisions with proven and scientifically sound technologies for assisting current breeding efforts depending on the particular trait under selection. Arnel R. Hallauer is C. F. Curtiss Distinguished Professor in Agriculture (Emeritus) at Iowa State University (ISU). Dr. Hallauer has led maize-breeding research for mid-season maturity at ISU since 1958. His work has had a worldwide impact on plant-breeding programs, industry, and students and was named a member of the National Academy of Sciences. Hallauer is a native of Kansas, USA. José B. Miranda Filho is full-professor in the Department of Genetics, Escola Superior de Agricultura Luiz de Queiroz - University of São Paulo located at Piracicaba, Brazil. His research interests have emphasized development of quantitative genetic theory and its application to maize breeding. Miranda Filho is native of Pirassununga, São Paulo, Brazil. M.J. Carena is professor of plant sciences at North Dakota State University (NDSU). Dr. Carena has led maize-breeding research for short-season maturity at NDSU since 1999. This program is currently one the of the few public U.S. programs left integrating pre-breeding with cultivar development and training in applied maize breeding. He teaches Quantitative Genetics and Crop Breeding Techniques at NDSU. Carena is a native of Buenos Aires, Argentina. http://www.ag.ndsu.nodak.edu/plantsci/faculty/Carena.htm
Book Synopsis Genomic Prediction and Genome Wide Association Mapping for Disease Resistance in Wheat by : Philomin Juliana
Download or read book Genomic Prediction and Genome Wide Association Mapping for Disease Resistance in Wheat written by Philomin Juliana and published by . This book was released on 2017 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wheat (Triticum aestivum L.) is one of the major food crops in the world that is grown on more land area than any other commercial crop. The demand for wheat is expected to increase by 60% by 2050 which cannot be met with the current yield gain of 1%. Hence, it is important to evaluate different strategies for increasing the genetic gain in wheat. With this focus, we evaluated two strategies, genomic prediction and genome-wide association studies (GWAS) for disease resistance in CIMMYT’s international bread wheat screening nurseries (IBWSN). Our objective was to compare different prediction models for resistance to leaf rust (LR), stem rust (SR), stripe rust (STR), Septoria tritici blotch (STB), Stagonospora nodorum blotch (SNB) and tan spot (TS) in the 45th and 46th IBWSN entries. The prediction models tested include: Least-squares (LS), genomic-BLUP (G-BLUP), Bayesian ridge regression (BRR), Bayes A (BA), Bayes B (BB), Bayes C (BC), Bayesian least absolute shrinkage and selection operator (BL), reproducing kernel Hilbert spaces (RKHS) markers (RKHS-M), RKHS pedigree (RKHS-P) and RKHS markers and pedigree (RKHS-MP). The 333 lines in the 45th IBWSN and the 313 lines in the 46th IBWSN were genotyped using genotyping-by-sequencing markers. For the rusts, the mean prediction accuracies were 0.74 for LR seedling, 0.56 for LR APR, 0.65 for SR APR, 0.78 for YR seedling and 0.71 for YR APR. For the leaf spotting diseases, the mean genomic prediction accuracies were 0.45 for STB APR, 0.55 for SNB seedling, 0.66 for TS seedling and 0.48 for TS APR. Using genome-wide marker based models resulted in an average of 42-48% increase in accuracy over LS. Overall, the RKHS-MP model gave the highest accuracies, while LS gave the lowest. GWAS was also performed on these traits and several significant markers and candidate genes were identified. We conclude that implementing GWAS and genomic selection in breeding for these diseases would help to achieve higher accuracies and rapid gains from selection. ...
Book Synopsis Pan-Genome Level Genotype and Phenotype Prediction: Advances in Precision Agriculture by : Penghao Wang
Download or read book Pan-Genome Level Genotype and Phenotype Prediction: Advances in Precision Agriculture written by Penghao Wang and published by Frontiers Media SA. This book was released on 2021-11-26 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Whole Genome Approaches for Characterizing and Utilizing Synthetic Wheat by : Sandra Margarita Dunckel
Download or read book Whole Genome Approaches for Characterizing and Utilizing Synthetic Wheat written by Sandra Margarita Dunckel and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The global population is estimated to reach 9.1 billion by 2050. Together with climate change, insuring food security for this population presents a significant challenge to agriculture. In this context, a large number of breeding objectives must be targeted. The focus of the work presented here is to explore genomic approaches for tapping exotic germplasm for valuable alleles to increased yield, disease resistance and abiotic stress tolerance. The loss of genetic diversity in bread wheat (Triticum aestivum L.) due to bottlenecks during polyploidization, domestication and modern plant breeding can be compensated by introgressing novel exotic germplasm. Here, the potential of genomic selection (GS) for rapid introgression of synthetic derived wheat is evaluated in field trials. Overall, the GS models had moderate predictive ability. However, prediction accuracies were lower than expected likely due to complex and confounding physiological effects. As such, implementation of rapid cycle GS for introgression of exotic alleles is possible but might not perform very well with synthetic derived wheat. Disease resistance is another important trait affecting grain yield. Stem rust (Puccinia graminis f. sp. tritici) has historically caused severe yield loss of wheat worldwide. In a quantitative trait loci (QTL) mapping study with a synthetic-derived mapping population, QTLs for resistance to stem rust races TRTTF and QTHJC were identified on chromosomes 1AS, 2BS, 6AS and 6AL. Some of these genes could be new resistance genes and useful for marker-assisted selection (MAS). In addition to food insecurity through lack of sufficient source of calories, nutrient deficiency is considered the 'hidden hunger' and can lead to serious disorders in humans. Through biofortification, essential nutrients are increased in staple crops for improved quality of food and human health. A high-throughput elemental profiling experiment was performed with the same synthetic derived mapping population to study the wheat ionome. Twenty-seven QTL for different elements in wheat shoots and two QTL in roots were identified. Four "hotspots" for nutrient accumulation in the shoots were located on chromosomes 5AL, 5BL, 6DL and 7AL. Overall, exotic germplasm is a valuable source of favorable alleles, but improved breeding methodologies are needed to rapidly utilize this diversity.
Book Synopsis Accuracy of Genomic Selection in a Soft Winter Wheat (Triticum Aestivum L.) Breeding Program by : Mao Huang
Download or read book Accuracy of Genomic Selection in a Soft Winter Wheat (Triticum Aestivum L.) Breeding Program written by Mao Huang and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic selection (GS) is a new marker assisted selection tool that utilizes data from lines in a training population (TP) to predict performance of other related lines by generating their genetic estimated breeding values. The selection process is complicated by genotype by environment interaction (GEI), as the performance of lines in one environment may not predict their performance in other environments. It is critical to evaluate and optimize GS accuracy with the existence of GEI. The GS accuracy can be evaluated by testing the GS model on different validation populations (VP). This study utilized subset of soft winter wheat lines from TP as the VP, and also utilized a VP composed of lines not included in, yet were genetically related to the TP. Our objectives were: 1) to assess GEI patterns and generate trait stability indices; 2) to evaluate GS accuracy for traits and trait stability indices for within and between-population predictions; 3) to assess the effects of optimization approaches on GS accuracy for between-environment predictions within population; 4) to assess GS accuracy from different optimization approaches for between-environment predictions across populations. An elite population (EP) of 273 lines and a yield population (YP) of 294 lines were phenotyped in independent sets of environments. A total of up to 24 different environments, representing four years across locations in five different states were assessed. The EP and YP were both phenotyped for yield (YLD), test weight (TW), plant height (HGT), and heading date (HD), and were genotyped with a common set of 3,537 single nucleotide polymorphism (SNP) markers. The EP was additionally phenotyped for seven quality traits. We produced useful GS prediction accuracy for within-population predictions for all traits (r ranging from 0.33 to 0.74) and most trait stability indices. We observed that ridge regression Best Linear Unbiased Prediction model was as predictive as other GS models, including the ones incorporating GEI term. The best approach to optimize the TP for between-environment accuracy was to subset markers that had the significant and stable effects coupled with eliminating least predictive lines in the TP. The between-population prediction for TW, HGT and HD were useful (r exceeded 0.29) though the between-population prediction for YLD was not within useful range (r ranged from -0.28 to 0.17). The EP and YP environments were separated in two distinct clusters based on the marker effects of YLD, and further supported the hypothesis that the low GS accuracy for YLD was mainly due to the marker effects by population interaction. This suggests that in order to obtain maximum GS accuracy for complex traits such as yield, the population to be predicted could consist of the same lines as in TP, but would be grown under different environments, or the new population to be predicted may be directly derived from TP. Our findings are directly applicable for wheat breeders in North-Eastern U.S. to best design GS schemes, and to implement GS in wheat breeding programs to achieve higher genetic gains with reduced costs and time than conventional breeding methods.
Book Synopsis Genomic Prediction of Complex Traits by : Nourollah Ahmadi
Download or read book Genomic Prediction of Complex Traits written by Nourollah Ahmadi and published by Springer Nature. This book was released on 2022-04-22 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to predict phenotypic variations. Part Two presents the principles of genomic prediction of complex traits, and reviews factors that affect its reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation into genomic prediction models of “omics” data and crop growth models. Part Five is dedicated to lessons learned from cases studies in the fields of human health and animal and plant breeding, and to methods for analysis of the economic effectiveness of genomic prediction. Written in the highly successful Methods in Molecular Biology series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for further methodological researches. Cutting-edge and thorough, Complex Trait Predictions: Methods and Protocols is a valuable resource for scientists and researchers who are interested in learning more about this important and developing field. Chapters 3, 9, 13, 14, and 21 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Book Synopsis Wheat Landraces by : Nusret Zencirci
Download or read book Wheat Landraces written by Nusret Zencirci and published by Springer Nature. This book was released on 2021-09-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Landraces possess a very large genetic base in population structure and are dynamic populations of cultivated plants with historical origin, distinct identity, and without any formal crop improvement. They are often genetically diverse, locally adapted, and associated with traditional farming systems. Resistance genes to biotic and abiotic stress factors, which are especially diversified in landraces, are of great interest to plant breeders, faced with global climate challenge. In addition, gene pools made of different landraces grown in different ecological conditions can be used for wheat breeding to enhance quality; yield and other desirable agricultural parameters. An estimated 75% of the genetic diversity of crop plants was lost in the last century due to the replacement of high yielding modern varieties. There is, thus, an urgent need to preserve existing species, not only for posterity but also as a means to secure food supply for a rising world population. In this book, we provide an overview of wheat landraces with special attention to genetic diversities, conservation, and utilization.
Book Synopsis Data Production and Analysis in Population Genomics by : Francois Pompanon
Download or read book Data Production and Analysis in Population Genomics written by Francois Pompanon and published by Humana Press. This book was released on 2012-05-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Population genomics is a recently emerged discipline, which aims at understanding how evolutionary processes influence genetic variation across genomes. Today, in the era of cheaper next-generation sequencing, it is no longer as daunting to obtain whole genome data for any species of interest and population genomics is now conceivable in a wide range of fields, from medicine and pharmacology to ecology and evolutionary biology. However, because of the lack of reference genome and of enough a priori data on the polymorphism, population genomics analyses of populations will still involve higher constraints for researchers working on non-model organisms, as regards the choice of the genotyping/sequencing technique or that of the analysis methods. Therefore, Data Production and Analysis in Population Genomics purposely puts emphasis on protocols and methods that are applicable to species where genomic resources are still scarce. It is divided into three convenient sections, each one tackling one of the main challenges facing scientists setting up a population genomics study. The first section helps devising a sampling and/or experimental design suitable to address the biological question of interest. The second section addresses how to implement the best genotyping or sequencing method to obtain the required data given the time and cost constraints as well as the other genetic resources already available, Finally, the last section is about making the most of the (generally huge) dataset produced by using appropriate analysis methods in order to reach a biologically relevant conclusion. Written in the successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, advice on methodology and implementation, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Data Production and Analysis in Population Genomics serves a wide readership by providing guidelines to help choose and implement the best experimental or analytical strategy for a given purpose.
Download or read book Wheat Blast written by Sudheer Kumar and published by CRC Press. This book was released on 2020-04-09 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wheat Blast provides systematic and practical information on wheat blast pathology, summarises research progress and discusses future perspectives based on current understanding of the existing issues. The book explores advance technologies that may help in deciding the path for future research and development for better strategies and techniques to manage the wheat blast disease. It equips readers with basic and applied understanding on the identification of disease, its distribution and chances of further spread in new areas, its potential to cause yield losses to wheat, the conditions that favour disease development, disease prediction modelling, resistance breeding methods and management strategies against wheat blast. Features: Provides comprehensive information on wheat blast pathogen and its management under a single umbrella Covers disease identification and diagnostics which will be helpful to check introduction in new areas Discusses methods and protocol to study the different aspects of the disease such as diagnostics, variability, resistance screening, epiphytotic creation etc. Gives deep insight on the past, present and future outlook of wheat blast research progress This book’s chapters are contributed by experts and pioneers in their respective fields and it provides comprehensive insight with updated findings on wheat blast research. It serves as a valuable reference for researchers, policy makers, students, teachers, farmers, seed growers, traders, and other stakeholders dealing with wheat.
Book Synopsis Alien Introgression in Wheat by : Márta Molnár-Láng
Download or read book Alien Introgression in Wheat written by Márta Molnár-Láng and published by Springer. This book was released on 2015-11-20 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the latest advancements in the field of alien introgression in wheat. The discovery and wide application of molecular genetic techniques including molecular markers, in situ hybridization, and genomics has led to a surge in interspecific and intergeneric hybridization in recent decades. The work begins with the taxonomy of cereals, especially of those species which are potential gene sources for wheat improvement. The text then goes on to cover the origin of wheat, breeding in connection with alien introgressions, and the problems of producing intergeneric hybrids and backcross derivatives. These problems can include crossability, sterility, and unequal chromosome transmission. The work then covers alien introgressions according to the related species used, as well as new results in the field of genomics of wild wheat relatives and introgressions.
Book Synopsis Molecular Marker Technology for Crop Improvement by : José Miguel Soriano
Download or read book Molecular Marker Technology for Crop Improvement written by José Miguel Soriano and published by MDPI. This book was released on 2021-01-15 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the 1980s, agriculture and plant breeding have changed with the development of molecular marker technology. In recent decades, different types of molecular markers have been used for different purposes: mapping, marker-assisted selection, characterization of genetic resources, etc. These have produced effective genotyping, but the results have been costly and time-consuming due to the small number of markers that could be tested simultaneously. Recent advances in molecular marker technologies such as the development of high-throughput genotyping platforms, genotyping by sequencing, and the release of the genome sequences of major crop plants have opened new possibilities for advancing crop improvement. This Special Issue collects 16 research studies, including the application of molecular markers in 11 crop species, from the generation of linkage maps and diversity studies to the application of marker-assisted selection and genomic prediction.
Book Synopsis Statistical Genetics of Quantitative Traits by : Rongling Wu
Download or read book Statistical Genetics of Quantitative Traits written by Rongling Wu and published by Springer Science & Business Media. This book was released on 2007-07-17 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping, and assumes a background in regression analysis and maximum likelihood approaches. The strength of this book lies in the construction of general models and algorithms for linkage analysis, as well as in QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops.
Book Synopsis The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits by : Yuan-Ming Zhang
Download or read book The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits written by Yuan-Ming Zhang and published by Frontiers Media SA. This book was released on 2019-06-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genome-Wide Association Studies (GWAS) are widely used in the genetic dissection of complex traits. Most existing methods are based on single-marker association in genome-wide scans with population structure and polygenic background controls. To control the false positive rate, the Bonferroni correction for multiple tests is frequently adopted. This stringent correction results in the exclusion of important loci, especially for GWAS in crop genetics. To address this issue, multi-locus GWAS methodologies have been recommended, i.e., FASTmrEMMA, ISIS EM-BLASSO, mrMLM, FASTmrMLM, pLARmEB, pKWmEB and FarmCPU. In this Research Topic, our purpose is to clarify some important issues in the application of multi-locus GWAS methods. Here we discuss the following subjects: First, we discuss the advantages of new multi-locus GWAS methods over the widely-used single-locus GWAS methods in the genetic dissection of complex traits, metabolites and gene expression levels. Secondly, large experiment error in the field measurement of phenotypic values for complex traits in crop genetics results in relatively large P-values in GWAS, indicating the existence of small number of significantly associated SNPs. To solve this issue, a less stringent P-value critical value is often adopted, i.e., 0.001, 0.0001 and 1/m (m is the number of markers). Although lowering the stringency with which an association is made could identify more hits, confidence in these hits would significantly drop. In this Research Topic we propose a new threshold of significant QTN (LOD=3.0 or P-value=2.0e-4) in multi-locus GWAS to balance high power and low false positive rate. Thirdly, heritability missing in GWAS is a common phenomenon, and a series of scientists have explained the reasons why the heritability is missing. In this Research Topic, we also add one additional reason and propose the joint use of several GWAS methodologies to capture more QTNs. Thus, overall estimated heritability would be increased. Finally, we discuss how to select and use these multi-locus GWAS methods.
Book Synopsis Plant Breeding: Past, Present and Future by : John E. Bradshaw
Download or read book Plant Breeding: Past, Present and Future written by John E. Bradshaw and published by Springer. This book was released on 2016-03-08 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to help plant breeders by reviewing past achievements, currently successful practices, and emerging methods and techniques. Theoretical considerations are also presented to strike the right balance between being as simple as possible but as complex as necessary. The United Nations predicts that the global human population will continue rising to 9.0 billion by 2050. World food production will need to increase between 70-100 per cent in just 40 years. First generation bio-fuels are also using crops and cropland to produce energy rather than food. In addition, land area used for agriculture may remain static or even decrease as a result of degradation and climate change, despite more land being theoretically available, unless crops can be bred which tolerate associated abiotic stresses. Lastly, it is unlikely that steps can be taken to mitigate all of the climate change predicted to occur by 2050, and beyond, and hence adaptation of farming systems and crop production will be required to reduce predicted negative effects on yields that will occur without crop adaptation. Substantial progress will therefore be required in bridging the yield gap between what is currently achieved per unit of land and what should be possible in future, with the best farming methods and best storage and transportation of food, given the availability of suitably adapted cultivars, including adaptation to climate change. My book is divided into four parts: Part I is an historical introduction; Part II deals with the origin of genetic variation by mutation and recombination of DNA; Part III explains how the mating system of a crop species determines the genetic structure of its landraces; Part IV considers the three complementary options for future progress: use of sexual reproduction in further conventional breeding, base broadening and introgression; mutation breeding; and genetically modified crops.
Book Synopsis Association Mapping in Plants by : Nnadozie C. Oraguzie
Download or read book Association Mapping in Plants written by Nnadozie C. Oraguzie and published by Springer Science & Business Media. This book was released on 2007-01-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies.
