Download or read book Quantitative Trait Loci QTL Analysis of Yield Components and Heat Tolerance in Wheat Triticum Aestivum written by Jung Hwa Do and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study was conducted to identify and map QTLs for yield components and heat tolerance of wheat in response to two kinds of heat treatment (short term-and long term-heat treatment) during seed formation in a set of 62 RILs derived from a cross of '7C' (heat resistant variety) and 'Seri M82' (heat susceptible variety) in environmentally controlled growth rooms and field. Phenotypic variations of yield components (kernel number, kernel weight, spike number and grain filling duration) were evaluated as indicators of heat tolerance / susceptibility. Most of the phenotypic variations of yield components exhibited a normally distributed pattern in response to heat stress treatments. This suggests that the yield component responses to high temperature stress are likely quantitatively inherited. A transgressive segregation pattern compared to the two parents was observed in several yield traits. This suggests that genetic variation from optimal recombination from the two parents have occurred in the progeny population. The Pearson correlation coefficients revealed significant correlations between yield components. This suggests the probability of co-segregation of genes controlling each yield components. The ANOVA also revealed a significant genotype x environment effect on individual yield components in response to reproductive stage high temperature stress. The heritability of the individual yield components was low (0.42 to 25%, 0.1~ 2% for heat tolerance). One hundred two polymorphic SSRs markers among 323 SSRs markers tested were used to construct a linkage coverage and average interval distance of 1860.2 cM and 18.2 cM/marker, respectively. Eighty-one QTLs for yield components and 68 QTLs for heat tolerance were detected with high LOD values (2.50~8.35 for yield components, 2.51~ 9.37 for heat tolerance) and that explained significant phenotypic variations (7~40% for individual QTL for yield components, 2~40 % for individual heat tolerance QTLs) from seven individual environments and the four individual heat stress environments, respectively. Specifically the regions between wmc48 and wmc89, and between wmc622 and wmc332 on the chromosome 4A and 6A, respectively possessed QTLs for both yield components and heat tolerance from various environments.
Download or read book Phenotypic and Molecular Genetic Analysis of Reproductive Stage Heat Tolerance in Wheat triticum Aestivum written by Richard Esten Mason and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Heat stress adversely affects wheat production in many regions of the world and is particularly detrimental during reproductive development. The objective of this study was to identify quantitative trait loci (QTL) associated with improved heat tolerance in hexaploid bread wheat (Triticum aestivum). To accomplish this objective, an analysis of both the phenotypic and genetic responses of two recombinant inbred line (RIL) populations was conducted. RIL populations Halberd x Cutter and Halberd x Karl 92 (H/K) both derive heat tolerance from Halberd and segregate in their response to heat stress. A heat susceptibility index (HSI) was calculated from the reduction of three yield components; kernel number, kernel weight, and single kernel weight, following a three-day 38 degrees C heat stress treatment during early grain-filling. The HSI, as well as temperature depression of the main spike and flag leaf were used as measurements of heat tolerance. Genetic linkage maps were constructed for both populations and were used in combination with phenotypic data and statistical software to detect QTL for heat tolerance. In a comparison across the two across populations, seven common QTL regions were identified for HSI, located on chromosomes 1B, 3B, 4A, 5A, 5B, and 6D. Subsequent analysis of temperature depression in the H/K population identified seven QTL that co-localized for both cooler organ temperature and improved HSI. Four of the beneficial alleles at these loci were contributed Halberd. The genetic effect of combining QTL, including QHkw.tam-1B, QHkwm.tam-5A.1, and QHskm.tam-6D showed the potential benefit of selection for multiple heat tolerant alleles simultaneously. Analysis of the H/K population in the field under abiotic stress detected QTL on chromosome 3B and 5A, which were in agreement with results from the greenhouse study. The locus QYld.tam-3B was pleiotropic for both temperature depression and HSI in both experiments and was associated with higher biomass and yield under field conditions. The results presented here represent a comprehensive analysis of both the phenotypic response of wheat to high temperature stress and the genetic loci associated with improved heat tolerance and will be valuable for future understanding and improvement of heat stress tolerance in wheat.
Download or read book Physiological and Genetic Analyses of Post anthesis Heat Tolerance in Winter Wheat Triticum Aestivum L written by Kolluru Vijayalakshmi and published by . This book was released on 2007 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: GFD was positively correlated with TKW and negatively with GFR and maximum rate of senescence. Principle component analysis (PCA) showed kernels per spike, maximum rate of senescence, and TKW accounted for 98% of total variability among the genotypes for heat tolerance.
Download or read book Genetic Studies for Improved Agronomic Performance Under Abiotic and Biotic Stresses in Spring Wheat Triticum Aestivum L written by Jayfred Gaham Villegas Godoy and published by . This book was released on 2016 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wheat (Triticum aestivum L.) is the main source of food for roughly one-third of the world's population. In order to satisfy demand, wheat is planted over millions of acres and exposed to various abiotic and biotic stresses such as heat stress and stripe rust (Puccinia striiformis). Development of cultivars with improved agronomic performance and stable yields is necessary to prevent yield losses and possibly food shortage. A quantitative trait loci (QTL) mapping study was performed using a recombinant inbred population derived from a cross between elite spring wheat varieties 'Kelse' and 'Scarlet' to identify QTL associated with heat tolerance under natural and controlled conditions. Our analysis yielded 19 QTL linked to 14 traits related to heat tolerance. A pleiotropic region for yield components was detected on chromosome 4AL which can be a valuable resource of favorable alleles for heat tolerance. Genome-wide association analysis was conducted on a population of elite North American germplasm to detect significant marker-traits associations (MTAs) for resistance to stripe rust infection and improved grain yield and yield component traits. Eleven highly significant (FDR
Download or read book Quantitative Trait Loci Mapping of Yield Its Related Traits and Spike Morphology Factors in Winter Wheat Triticum Aestivum L written by Robert Christopher Gaynor and published by . This book was released on 2011 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing grain yield in wheat (Triticum aestivum L.) is a challenging task, because yield is a complex trait controlled by many genes and highly influenced by environmental factors. The genetic control of yield components and other traits associated with yield may be less complex and thus more manageable for breeding. This study seeks to identify quantitative trait loci (QTLs) for these traits. Two new genetic linkage maps were constructed from recombinant inbred lines (RILs) derived from crosses between the Oregon soft white winter wheat variety Tubbs and a Western European hard red winter wheat variety, Einstein. A third linkage map was constructed from RILs from a cross with Tubbs and a Western European experimental hard red winter wheat line. A combination of Diversity Arrays Technology (DArT), Simple Sequence Repeat (SSR), orw5, and B1 markers were used to construct genetic linkage maps. Two replications of the RIL populations were grown in yield trial sized plots at Corvallis, OR and Pendleton, OR in 2009. The RILs were evaluated for grain yield, spikes per m2, fertile spikelets per spike, sterile spikelets per spike, seeds per spike, seeds per fertile spikelet, average seed weight, growing degree days (GDD) to flowering, GDD to physiological maturity, GDD of grain fill, plant height, test weight, and percent grain protein. Composite interval mapping (CIM) detected 146 QTLs for these traits spread across all chromosomes except for 6D. Thirty six percent of all of the QTLs detected were in close proximity to four loci: Rht-B1, Rht-D1, B1, and Xgwm372. The use of factor analysis to aid in QTL mapping for correlated traits related to spike morphology was explored. Quantitative trait loci mapping of factor scores for these traits potentially showed an increase in statistical power to detect QTLs and a decrease in the probability of type I error over mapping the traits individually.
Download or read book Genetical Analysis of Quantitative Traits written by Dr M Kearsey and published by Garland Science. This book was released on 2020-10-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a guide to the experimental and analytical methodologies available to study quantitative traits, a review of the genetic control of quantitative traits, and a discussion of how this knowledge can be applied to breeding problems and evolution.
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.
Download or read book QTL Analysis of Wheat Grain Yield Components and Agronomic Traits Using Advanced Genotyping Platforms written by Kyle D. Isham and published by . This book was released on 2019 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: The genetic manipulation of major yield components and agronomic traits is an important approach to increase wheat grain yield. Phenotyping of these traits is cost-effective but is time-consuming and the output is also confounded by environmental conditions. In the present study, we aimed to identify quantitative trait loci (QTL) and tightly linked, friendly used molecular markers to select for productive tiller number (PTN), fertile spikelet number per spike (fSNS), thousand kernel weight (TKW), grain yield (GY), height (HT), and heading date (HD). These traits were assessed in eight field trials over three years in a double haploid (DH) population that were derived from two adapted high yielding spring wheat cultivars 'UI Platinum' and 'LCS Star'. The DH population of 181 lines was genotyped using the 90K iSelect SNP platform and markers for known genes (Ppd, Vrn, Rht, and FT) that affect plant adaptation. The genotypic data was used in linkage analysis and QTL analysis for yield components and agronomic data using JMP Genomics Software (V9.0). To consider spatial variation, the best linear unbiased prediction (BLUP) was calculated for each trait across all trials. QTL analyses were conducted separately for each trait in individual environments and in trait BLUP across all environments. A total of 48 linkage groups were constructed with a total length of 3892.81 cM and a marker density of 0.33 marker/cM. A total of nineteen QTL were detected, including five for fSNS on chromosomes 5D, 6A, 7B (two QTL), and 7D; two for PTN on chromosomes 4A and 6A; three QTL for TKW on chromosomes 4A, 6A, and 7D; one QTL for GY on chromosome 7D; four QTL for HD on chromosomes 4B, 6A, 7B, and 7D; and four QTL for HT on chromosomes 4A (two QTL), 5D, and 7D. The two parents have complementary and additive QTL effects in all traits evaluated, providing opportunities to improve each trait through pyramiding. However, four QTL, QPTN.uia2-6A, QfSNS.uia2-6A, QTKW.uia2-6A, and QHD.uia2-6A were clustered on chromosome 6A; five other QTL, QTKW.uia2-7D, QfSNS.uia2-7D, QHT.uia2-7D, QGY.uia2-7D, and QHD.uia2-7D were clustered in a small region on chromosome 7DS. The two QTL clusters each control traits that were negatively correlated, suggesting that the trade-off effects pose a challenge and further dissecting of the two clusters is necessary in order to use them in yield improvement. Using the exosome capture data, linkage maps of interest were saturated with additional KASP markers, which helps to dissect the identified QTL clusters. A few of QTL in the two cluster regions were further validated in an elite spring wheat panel, confirming the realty and effectiveness of the identified QTL. KASP markers developed in the present study may useful to pyramid multiple yield components to enhance yield improvement in wheat.
Download or read book Physiological Breeding written by Alistair Pask and published by CIMMYT. This book was released on 2012 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Effect of Heat Stress and Auxin Application at Flowering on Grain Yield and QTL Associated with Heat Stress Responses in Wheat Triticum Aestivum L written by Ganegama Lekamge Dhuanuja Neranjalee Abeysingha and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reproductive phase of wheat (Triticum aestivum L.) is highly sensitive to high-temperature stress. Temperatures above the growth optimum (23oC) interfere negatively with the reproductive development processes, resulting in poor grain set and yield. Crop adaptation strategies can be used to overcome the negative effects of heat stress on grain yield and can be achieved through genetic modifications and proper agronomic practices. Experiments presented in this thesis test the hypotheses that: 1) heat stress at initial flowering (35 °C for 6 h per day for 6 days) has a negative impact on grain yield and foliar auxin application (4-Cl-IAA, 1μM) has the ability to at least partially negate the negative impact of heat stress, and 2) variation in heat stress response with respect to grain yield among a wheat RIL population will allow for the identification of specific phenotypic traits and quantitative trait loci (QTL) associated with heat stress resistance. First, a controlled environment experiment was conducted to evaluate the Canadian hard-red spring and/or CIMMYTY derived parents of two recombinant inbred line (RIL) populations of wheat for heat resistance and auxin responsiveness; the first population was derived from a cross between 'Attila' and 'CDC Go', and the second between 'CDC Teal' and 'CDC Go'. The 'Attila' x 'CDC Go' RIL population (171 lines) was selected for in-depth evaluation because 1) grain yield after heat-stress differed in 'Attila' and 'CDC Go', 2) the ability of a one-time foliar 4-Cl-IAA application (prior to heat stress) to ameliorate the negative effects of heat stress with respect to grain yield was observed in 'Attila' and 'CDC Go', and 3) the 'Attila' × 'CDC Go' RIL population was more extensively characterized in the field in previous studies than the 'CDC Teal' x 'CDC Go' RIL population. The 'Attila' x 'CDC Go' RILs, the parental RIL cultivars, and seven other Canadian spring wheat cultivars were further evaluated for heat resistance and auxin responsiveness under controlled environmental conditions. 'Attila' showed greater yield stability under heat stress conditions at flowering compared to 'CDC Go'. The lower heat tolerance for 'CDC Go' when exposed to the heat stress treatment was reflected in substantial reduction in main tiller grain yield (~ 45%) associated with reductions in the number of fertile spikelets per spike, grains per spikelet and per fertile spikelet. Heat stress reduced the RIL population mean grain number and weight with a substantial reduction in fertile spikelets per spike and grain number per spikelet or per fertile spikelet. Within the RIL population, 45% (77 RILs) were categorized as heat-resistant, 20.5% as moderately heat susceptible (35 RILs) and 7.6% (13 RILs) as highly heat susceptible with respect to grain weight. Strong to minor relationships were observed between yield component traits and grain yield among the standard spring wheat cultivars and the 'Attila' × 'CDC Go' RIL population, and in some cases heat stress affected the strength of the relationships. Auxin treatment increased some yield traits (grain number and weight, fertile spikelets per spike, and grain number per spikelet or per fertile spikelet) under heat stress and/or non-temperature stress conditions in 'Attila', 'CDC Go', and RILs 18, 46, 70, 80, and 145. Inclusive composite interval QTL mapping was conducted using phenotypic data of the 'Attila' x 'CDC Go' RIL population and genotypic data obtained from a previous study conducted using a subset of (1200 SNPs) Wheat 90K SNP array together with Ppd-D1, Vrn-A1, and Rht-B1 genes. Whole spike and spike section data from non-temperature stress (NS) and heat stress (HS) treatments identified 73 QTL (NS, 37; HS, 36) on 14 of the 21 chromosomes (1A, 1B, 2A, 2B, 2D, 3A, 4A, 4B, 5A, 5B, 6A, 6B, 7B, 7D) that individually explained 1.6 to 47.5% phenotypic variation with Logarithm of Odds (LOD) values ranging from 2.5 to 25.8. Eight important QTL clusters associated with two or more important grain yield or yield-related traits were identified on chromosomes 5A, 4B, 2B, 2D and 1B. Overall, heat stress at early flowering reduced grain yield, with the magnitude of the reduction dependent on the genotype. Relationships between grain yield and other yield-component traits were modified by the heat stress in some cases, stressing the importance of cultivar trait evaluation under environments where the cultivar will be grown. One-time foliar application of auxin prior to heat stress (4-Cl-IAA at 1 μM) at the early flowering stage can increase the grain yield and/or yield component traits in some genotypes and has the potential for use as an agronomic tool to enhance wheat grain yield. QTL and QTL clusters were identified for non-temperature stress and/or heat stress, with many detected in QTL hotspots in the wheat genome for grain yield and spike architecture.
Download or read book Quantitative Trait Locus Mapping of Agronomic Physiological and End use Quality Traits of Common Wheat T Aestivum written by Junli Zhang (Doctoral student) and published by . This book was released on 2013 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grain yield (GY) is always the first priority in wheat (Triticum aestivum L.) breeding; however, progress in improvement of this trait is hampered due to quantitative inheritance, low heritability, and confounding environmental effects. Thanks to the advancements of high throughput genotyping and phenotyping technologies, both molecular markers and physiological traits are now promising indirect selection tools in breeding for this trait and other traits. Besides grain yield, grain quality is another important respect in wheat breeding, and one of the quality traits is the Hagberg falling number (FN), which is commonly used in grain grading. The FN test has a genetic component but is also strongly influenced by environmental conditions during the reproductive growth stage, including excessive moisture, extreme temperature, and biotic and abiotic stresses. The objective of the current studies was to identify potential genomic regions and molecular markers that influence GY, three important physiological traits (canopy temperature, CT; chlorophyll content index, CCI; flag leaf senescence, FLS) that could impact grain yield during heat and moisture stress, and FN by QTL mapping approaches. A winter wheat population of 159 recombinant inbred lines (RILs) from the cross of ID0444 and Rio Blanco were used to map QTL for GY, CT, CCI and FLS, and a total of 110 hard white spring (HWS) wheat accessions from the National Small Grain Collection (NSGC) were used in genome-wide association mapping of FN. GY was evaluated under three field conditions, rainfed, terminal drought (water stress applied after anthesis), and fully irrigated, with a total of six location-year environments. QTL mapping was conducted for main effect (G) of GY, and the genotype x environment interaction (GEI) effect of GY. A total of 17 QTL were associated with G and 13 QTL associated with GEI, and nine of 13 QTL for GEI were mapped in the flanking chromosomal regions of QTL for GEI. One QTL, Q.Gy.ui-1B.2 found on chromosome 1B, was associated with GY in all six individual environments. Significant QTL x environment interaction (QEI), QTL x QTL interaction (QQI) and QTL x QTL x environment (QQEI) were also identified. The present study showed that the QEI and QQI were as important as the QTL main effect of GY, and they should be taken into consideration in future QTL studies and marker-assisted selection (MAS). The three physiological traits, CT, CCI and FLS, which have been reported to be closely related to grain yield of wheat in diverse environments, were evaluated in two terminal drought and one rainfed environments in southeastern Idaho. Correlation results showed that CT and FLS were highly correlated with GY but the relationship between CCI and GY varied among the three environments. FLS was closely related to heading date (HD) and its effect on grain yield might be determined by HD in the RIL population used in the study. Stepwise multiple regression showed that CT and FLS could predict grain yield effectively and could be used as indirect selection criteria in wheat breeding. A total of 27 main effect QTL (M-QTL) were identified on 12 chromosomes, explaining 5 to 14% of phenotypic variation. Seven epistatic QTL (E-QTL) were identified for FLS and CCI and these could explain 9-25% of the phenotypic variation, but most of them did not have a main effect. Most of the QTL were reported for the first time. FN tests were conducted using grain flour samples from the 110 HWS wheat accessions grown in five environments. A total of 1,740 SNP markers were used to detect SNP-FN associations using both general linear model (GLM) and mixed linear model (MLM). A total of 13 QTL located in nine chromosomal regions were identified in both GLM and MLM approaches. These new QTL have the potential to increase the selection efficiency for wheat breeding, and can be further explored to identify candidate genes.
Download or read book Quantitative Trait Loci written by Nicola J. Camp and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL). Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and variations in method ease the way to understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov Chain Monte Carlo method for joint linkage and segregation analysis.
Download or read book Discovery and Verification of Quantitative Trait Loci QTLs for Seminal Root Traits and Insights Into Root to Shoot Tradeoffs in Hexaploid Wheat Triticum Aestivum L written by Christopher Earl Hohn and published by . This book was released on 2016 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wheat is among the top three cereal crops with over ca. 600 million tons being harvested annually. In terms of its range of cultivation no other crop can rival wheat. It was first cultivated over 10,000 years ago as humans shifted from hunting and gathering to settled agriculture. Since then wheat has seen more than a threefold increase in grain yield and makes up ca. 20% of the human diet. Today climate change and increased incidence of drought in areas a wheat production negatively impact grain yield. This has prompted interest in studying root system traits and how those traits may improve drought tolerance. For these reasons, the research in this dissertation was aimed at identifying quantitative trait loci (QTLs) and allelic variation for root system traits while also gaining an understanding of root and shoot relationships. To accomplish this three integrated mapping populations of bread wheat were created and sets of unique experiments were conducted. Significant variation for root system traits was observed in all three populations and QTLs were identified and verified for some of these traits. One major QTL for seminal root angle on chromosome arm 2DS was verified in two of the three mapping populations. Additionally, we were able to draw some general conclusions about the relationship between root and shoot biomass within the materials we tested. Using over ca. 6,000 data points we observed that as root biomass continues to increase beyond a certain threshold it negatively impacts grain yields and shoot biomass. However, in individual cultivars this relationship may be entirely different, with root biomass increasing proportionately to increasing grain yields without any observable threshold. When testing for allelic variation at a locus thought to control root biomass on rye chromosome arm 1RS we were unable to identify any significant differences between sources of the 1RS translocation. In a similar study testing for allelic variation for a locus on wheat chromosome arm 1BS thought to control root system plasticity in response to drought we were also unable to identify any significant difference between 1B substitution lines in a common genetic background of cv. Pavon 76.
Download or read book Wheat written by E H Satorre and published by CRC Press. This book was released on 1999-05-06 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discussing the latest processes involved in researching yield generation, Wheat: Ecology and Physiology of Yield Determination will help you design various types of crop production systems for maximum yield. Featuring information on developing high-yielding, low-input, and quality-oriented systems, this book offers you both physiological and ecological approaches that will help you understand the crop as well as increase its production. Discussing aspects of wheat growth for specific regions around the world, Wheat provides you with information that will improve the size and quality of your crops, including: how temperature, vernalization, and the photoperiod affect the development of wheat using the correct amount of nitrogen fertilizers for wheat crops an explanation of the reproduction and nitrogen cycles of wheat how elements and conditions such as lipids, proteins, nitrogen, and climate enhance grain quality estimating and determining optimal sowing dates examining factors that may affect wheat yield-density relationships, such as planting arrangement and date of sowing preventing seed decay and examining effects of mildews and leaf blights examining historical trends of the crop to see what further research needs to be done You'll also receive information on the genetic gains in wheat research that are improving the physiological traits and numerical components of this essential grain. Within Wheat, you'll find data and methods from international experts in the field that will improve the yield and growth of the world's most important crop.
Download or read book Molecular Mapping of Quantitative Trait Loci Controlling Yield and Yield Components in Spring Wheat Triticum Aestivum L written by Janice Louise Cuthbert and published by . This book was released on 2008 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Gene Transfer to Plants written by Ingo Potrykus and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Wheat Genetics From Genome to Field written by Yasunari Ogihara and published by Springer. This book was released on 2015-09-15 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings is a collection of 46 selected papers that were presented at the 12th International Wheat Genetics Symposium (IWGS). Since the launch of the wheat genome sequencing project in 2005, the arrival of draft genome sequences has marked a new era in wheat genetics and genomics, catalyzing rapid advancement in the field. This book provides a comprehensive review of the forefront of wheat research, across various important topics such as germplasm and genetic diversity, cytogenetics and allopolyploid evolution, genome sequencing, structural and functional genomics, gene function and molecular biology, biotic stress, abiotic stress, grain quality, and classical and molecular breeding. Following an introduction, 9 parts of the book are dedicated to each of these topics. A final, 11th part entitled “Toward Sustainable Wheat Production” contains 7 excellent papers that were presented in the 12th IWGS Special Session supported by the OECD. With rapid population growth and radical climate changes, the world faces a global food crisis and is in need of another Green Revolution to boost yields of wheat and other widely grown staple crops. Although this book focuses on wheat, many of the newly developed techniques and results presented here can be applied to other plant species with large and complex genomes. As such, this volume is highly recommended for all students and researchers in wheat sciences and related plant sciences and for those who are interested in stable food production and food security.
