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Genomic Selection For Yield And Seed Composition Stability In An Applied Soybean Breeding Program
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Book Synopsis Genomic Selection for Yield and Seed Composition Stability in an Applied Soybean Breeding Program by : Benjamin Mark Harms
Download or read book Genomic Selection for Yield and Seed Composition Stability in an Applied Soybean Breeding Program written by Benjamin Mark Harms and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stability traits are of primary importance in plant breeding to ensure consistency in phenotype across a range of environments. However, selection efficiency and accuracy for stability traits can be hindered due to the requirement of obtaining phenotype data across multiple years and environments for proper stability analysis. Genomic selection is a method that allows prediction of a phenotype prior to observation in the field using genome-wide marker data and phenotype data from a training population. To assess prediction of stability traits, two elite-yielding soybean populations developed three years apart in the same breeding program were used. The individuals in each population were tested across three years and seven or more environments, allowing for calculation of observed stability and assessment of prediction accuracy. The primary goal of this research was to provide an overview of genomic selection for yield stability, protein content stability, and oil content stability in an applied soybean breeding program. Factors affecting prediction accuracy were assessed, including SNP density, SNP marker type, and stability measure. Briefly, predictive abilities were low across all stability traits and stability measures for prediction across populations, ranging from -0.01 to 0.37. During applied prediction of non-parametric measures for yield stability, we obtained rank coincidence of roughly 0.65. When individuals in the top half of predicted stability are selected, roughly 65% of those individuals are expected to be in the top half of observed stability. For prediction of protein and oil content stability for static environmental variance stability, we obtained rank coincidence of 0.59 and 0.58. While predictive abilities were too low for use in a breeding program, rank coincidence gave more promising results for applied genomic selection for stability traits. With improvement in methods such as prediction model, SNP type, and greater training and validation phenotype environments, there is potential for genomic selection to effectively improve stability in a breeding program by implementing selection at an early stage when phenotype data are insufficient to select for stability.
Book Synopsis Soybean Breeding by : Felipe Lopes da Silva
Download or read book Soybean Breeding written by Felipe Lopes da Silva and published by Springer. This book was released on 2017-06-10 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written by soybean experts to cluster in a single publication the most relevant and modern topics in soybean breeding. It is geared mainly to students and soybean breeders around the world. It is unique since it presents the challenges and opportunities faced by soybean breeders outside the temperate world.
Book Synopsis Breeding for Modified Seed Composition in Soybean by : Luciano M. Jaureguy
Download or read book Breeding for Modified Seed Composition in Soybean written by Luciano M. Jaureguy and published by . This book was released on 2012 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of cultivars with modified seed composition represents an excellent alternative to cope with the world's need for more nutritious food. Understanding the genetic and environmental factors controlling crop seed quality traits is of crucial importance for such an endeavor. The objectives of this study were: a) to evaluate the efficiency of phenotype and marker-assisted selection for low stachyose and low phytate soybean breeding lines, and their yield stability, b) to study the effect of management practices planting date and delayed harvest on soybean seed composition, and c) to study the potential association between soil properties and leaf chemical element concentration, with seed composition. Selection efficiency in six breeding populations segregating for the low phytate and low stachyose traits was studied by determining the proportion of phenotypically selected lines that carried the alleles for the low phytate trait or low stachyose traits. Yield stability of low phytate/low stachyose lines was studied in a set of 16 breeding lines selected from a breeding population segregating for the low phytate/low stachyose trait, and grown in five Arkansas environments. Planting date effects on seed composition were studied in nine breeding lines planted in early May, late May, and late June at two Arkansas locations in two consecutive years. Delayed harvest effects on seed composition and the association between soil properties and leaf chemical element concentration, with seed composition were studied in the late May planting date. Results showed that the efficiency of marker-assisted selection depended on the type of marker used, whereas phenotype-assisted selection depended on the germplasm that was being screened and on the phenotype used to make breeding selections. Breeders should use marker-assisted selection for low phytate/low stachyose lines only if phenotyping large number of progenies is not time or cost effective. Most of the low phytate/low stachyose lines showed low yield stability. However, one of the low phytate/low stachyose lines studied, R08-6009, showed competitive yield and adaptation to all the environments where the line was evaluated. R08-6009 should be crossed to high-yield lines to generate progeny with greater yield potential. Other lines studied showed moderately high oleic (>45 mg g-1) and low linolenic (
Book Synopsis Genetics, Genomics, and Breeding of Soybean by : Kristin Bilyeu
Download or read book Genetics, Genomics, and Breeding of Soybean written by Kristin Bilyeu and published by CRC Press. This book was released on 2016-04-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The soybean is an economically important leguminous seed crop for feed and food products that is rich in seed protein (about 40 percent) and oil (about 20 percent); it enriches the soil by fixing nitrogen in symbiosis with bacteria. Soybean was domesticated in northeastern China about 2500 BC and subsequently spread to other countries. The enormous
Book Synopsis Genetic and Genomic Analyses for Improvement of Soybean Yield by : Benjamin Bruce Stewart-Brown
Download or read book Genetic and Genomic Analyses for Improvement of Soybean Yield written by Benjamin Bruce Stewart-Brown and published by . This book was released on 2018 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: PI 416937 is a Japanese plant introduction which has been utilized in the development of many high yielding lines over the past ~20 years. Nine genomic regions were identified from this PI under positive selection while 17 genomic regions were identified under negative selection. These genomic regions were not significantly associated with yield across replicated yield trials, but a methodology was illustrated for identifying regions under selection for yield and utilizing these regions for incorporation of beneficial diversity. Genomic selection is a strategy for modeling allelic effects across an entire genome to increase the rate of genetic gain for quantitative traits. Implementation of genomic selection for prediction of yield as well as higher heritability traits such as protein and oil content was investigated in soybean. There appeared to be an inflation in predictive ability due to population structure when performing cross-validation. Larger training sets, higher heritability traits, and closer genetic relationships between training and validation sets improved prediction while marker density had little effect. Light-tawny pubescence has been hypothesized to be related to improving yield as this phenotype has been hypothesized to increases light reflectance in the leaf canopy which reduces canopy temperature and plant stress, thus increasing yield potential. QTL mapping and GWAS were used to map and pinpoint the Td locus, but yield trials failed to validate a significant yield advantage associated with the light-tawny phenotype. G13-6299 is a recently released germplasm line from the UGA Soybean Breeding Program which contains 19% exotic pedigree, possesses nematode resistance and desirable agronomic characteristics, and is high yielding. This line was developed for utilization by breeders in order to increase grain yield via the incorporation of beneficial exotic yield alleles.
Book Synopsis Soybean Breeding Strategy for Pakistan by : Muhammad Aslam Khan
Download or read book Soybean Breeding Strategy for Pakistan written by Muhammad Aslam Khan and published by . This book was released on 2002 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Soybean Genome by : Henry T. Nguyen
Download or read book The Soybean Genome written by Henry T. Nguyen and published by Springer. This book was released on 2017-09-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the application of soybean genome sequences to comparative, structural, and functional genomics. Since the availability of the soybean genome sequence has revolutionized molecular research on this important crop species, the book also describes how the genome sequence has shaped research on transposon biology and applications for gene identification, tilling and positional gene cloning. Further, the book shows how the genome sequence influences research in the areas of genetic mapping, marker development, and genome-wide association mapping for identifying important trait genes and soybean breeding. In closing, the economic and botanical aspects of the soybean are also addressed.
Book Synopsis New Sources of Soybean Seed Composition Traits Identified Through Functional Genomics by : Zhou Zhou
Download or read book New Sources of Soybean Seed Composition Traits Identified Through Functional Genomics written by Zhou Zhou and published by . This book was released on 2020 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merr.] is the world's most widely grown protein/oilseed crop and provides about 70% of global protein meal and 53% of vegetable oil in the United States. Soybean seed oil contains five major fatty acids, from which palmitic acid and stearic acid are two saturated fatty acids, oleic acid improves oxidative stability and linolenic acid is an essential fatty acid for human health. Soybean seed protein and oil are two important quality indices for soybean germplasm breeding. Soluble carbohydrates present in soybean meal provide metabolizable energy in livestock feed. To develop soybean germplasm with improved seed composition traits, it is important to discover novel source of seed fatty acid, protein, and carbohydrates traits. This dissertation aims to develop novel functional genomic technology coupled with an integrated approach for facilitating molecular soybean breeding. In this study, the first objective is to develop a high-throughput TILLING (Targeting Induced Local Lesions IN Genomes) by Target Capture Sequencing (TbyTCS) technology to improve the efficiency of discovering mutations in soybean. The robustness of this technology underlies the high yield of true mutations in genes controlling complex traits in soybean. Soybean mutagenized lines with modified fatty acids composition have been successfully developed to meet the different needs of end users. Altered fatty acids phenotypes have been associated with induced mutations in 3-ketoacyl-acyl carrier protein (ACP) synthase II (GmKASII), Delta-9-stearoyl-acyl carrier protein desaturase (GmSACPD), omega-6 fatty acid desaturase 2 (GmFAD2), and omega-3 fatty acid desaturase (GmFAD3) genes identified through TbyTCS. The second objective is to characterize the soybean acyl-ACP thioesterase gene family through a comprehensive analysis. The additional members have been discovered belonging to 16:0-ACP fatty acid thioesterase (GmFATB) gene family. The mutations at oleoyl-ACP fatty acid thioesterase (GmFATA1A) have been revealed to result in the high seed oleic acid content. The novel alleles of GmFATB genes have also been identified to confer low palmitic acid and high oleic acid phenotypes in soybean seeds. The third objective is to assess the phenotypic variations and correlation among seed composition traits in mutagenized soybean populations. Correlation analyses have been conducted among soybean carbohydrates, protein, and oil content of soybean mutagenized populations and germplasm lines. Chemical mutagenesis played an essential role in soybean breeding to generate novel and desired seed composition traits.
Book Synopsis Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed by : Joel Hemingway
Download or read book Genomic Selection for Seed Oil Concentration in Bi-parental Soybean Populations Derived from Parents Carrying the DP-305423-1 Transgene for High Oleic Acid in the Seed written by Joel Hemingway and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max [L.] Merrill) oil is an economically important commodity worldwide with many uses. High levels of polyunsaturated fatty acids cause oxidative instability of the oil; however, the DP-3054231-1 transgene confers elevated oleic acid concentrations resulting in oil with increased oxidative stability. The first objective of this thesis was to study the effects of the DP-305423-1 transgene on agronomic and seed traits across multiple genetic backgrounds and environments. An equal number of high oleic (HO) and normal oleic (NO) BC1F4:F6 progeny from four unique populations were grown at four locations in Southern Ontario and two in Northern Iowa. Overall, the difference in mean yield between the HO and NO progeny varied across populations and locations and the HO progeny consistently had lower mean oil concentration and greater mean protein concentration. Differences in 100-seed weight were not consistent across populations or locations. Genomic selection (GS) has been shown to be a valuable tool for performing selection on complex quantitative traits, such as seed oil concentration in soybean. The second objective of the thesis was to evaluate multiple GS models for seed oil concentration using a low-density marker panel in bi-parental, high oleic soybean populations and compare prediction accuracies of six unique training populations (TPs). Prediction accuracy was calculated as the Pearson correlation coefficient between the predicted value of an individual and the 'true' phenotypic value, as determined through multi location field testing. Genomic best linear unbiased predictor (GBLUP) produced the greatest predictability across all populations and training sets, compared to BayesA and BayesB, which had similar predictive ability across populations. Generally, TPs consisting of more individuals had greater predictability; however, variations were observed across populations and models. TPs consisting of individuals from a single location had greater predictability of all genotypes than training populations of equal size comprised of individuals from both locations, indicating potential influence of marker x environment effects across training environments. These results show that genomic selection using a low marker density can be a valuable tool for increasing oil concentration in biparental high oleic, low linolenic soybeans populations.
Download or read book Soybeans written by Lawrence A. Johnson and published by Elsevier. This book was released on 2015-08-08 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive new soybean reference book disseminates key soybean information to “drive success for soybeans via 23 concise chapters covering all aspects of soybeans--from genetics, breeding and quality to post-harvest management, marketing and utilization (food and energy applications), U.S. domestic versus foreign practices and production methods. The most complete and authoritative book on soybeans Features internationally recognized authors in the 21-chapter book Offers sufficient depth to meet the needs of experts in the subject matter, as well as individuals with basic knowledge of the topic
Book Synopsis Genetic Data Analysis for Plant and Animal Breeding by : Fikret Isik
Download or read book Genetic Data Analysis for Plant and Animal Breeding written by Fikret Isik and published by Springer. This book was released on 2017-09-09 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.
Book Synopsis Genetics and epigenetics: Plausible role in development of climate resilient crops by : Vijay Gahlaut
Download or read book Genetics and epigenetics: Plausible role in development of climate resilient crops written by Vijay Gahlaut and published by Frontiers Media SA. This book was released on 2023-04-13 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Safety of Genetically Engineered Foods by : National Research Council
Download or read book Safety of Genetically Engineered Foods written by National Research Council and published by National Academies Press. This book was released on 2004-07-08 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assists policymakers in evaluating the appropriate scientific methods for detecting unintended changes in food and assessing the potential for adverse health effects from genetically modified products. In this book, the committee recommended that greater scrutiny should be given to foods containing new compounds or unusual amounts of naturally occurring substances, regardless of the method used to create them. The book offers a framework to guide federal agencies in selecting the route of safety assessment. It identifies and recommends several pre- and post-market approaches to guide the assessment of unintended compositional changes that could result from genetically modified foods and research avenues to fill the knowledge gaps.
Book Synopsis Molecular Plant Breeding by : Yunbi Xu
Download or read book Molecular Plant Breeding written by Yunbi Xu and published by CABI. This book was released on 2010 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in plant genomics and molecular biology have revolutionized our understanding of plant genetics, providing new opportunities for more efficient and controllable plant breeding. Successful techniques require a solid understanding of the underlying molecular biology as well as experience in applied plant breeding. Bridging the gap between developments in biotechnology and its applications in plant improvement, Molecular Plant Breeding provides an integrative overview of issues from basic theories to their applications to crop improvement including molecular marker technology, gene mapping, genetic transformation, quantitative genetics, and breeding methodology.
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 Principles of Plant Breeding by : Robert W. Allard
Download or read book Principles of Plant Breeding written by Robert W. Allard and published by John Wiley & Sons. This book was released on 1999-05-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Die Pflanzenzucht enthält Elemente individueller und kultureller Selektion - ein Prozeß, den die langerwartete zweite Auflage hinsichtlich sowohl einzelner Pflanzen als auch kompletter Populationen unter die Lupe nimmt. Im Zuge der Aktualisierung des Stoffes wurden neue Themen aufgenommen: moderne Gewebekulturtechniken, molekularbiologische Verfahren, Aspekte der Wechselwirkung zwischen natürlicher und menschlicher Selektion und zwischen Genotyp und Umwelt sowie eine Reihe von Techniken zur Ertragssteigerung in ungünstigen Anbaugebieten. (05/99)
Book Synopsis Evolution and Selection of Quantitative Traits by : Bruce Walsh
Download or read book Evolution and Selection of Quantitative Traits written by Bruce Walsh and published by Oxford University Press. This book was released on 2018-06-21 with total page 1504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative traits-be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene-usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences.
