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Quantitative Trait Loci (QTL) Analysis of Yield Components and Heat Tolerance in Wheat (Triticum Aestivum)

Quantitative Trait Loci (QTL) Analysis of Yield Components and Heat Tolerance in Wheat (Triticum Aestivum)
Author: Jung Hwa Do
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

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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.


Phenotypic and Molecular Genetic Analysis of Reproductive Stage Heat Tolerance in Wheat (triticum Aestivum)

Phenotypic and Molecular Genetic Analysis of Reproductive Stage Heat Tolerance in Wheat (triticum Aestivum)
Author: Richard Esten Mason
Publisher:
Total Pages:
Release: 2011
Genre:
ISBN:

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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.


Physiological and Genetic Analyses of Post-anthesis Heat Tolerance in Winter Wheat (Triticum Aestivum L.).

Physiological and Genetic Analyses of Post-anthesis Heat Tolerance in Winter Wheat (Triticum Aestivum L.).
Author: Kolluru Vijayalakshmi
Publisher:
Total Pages: 237
Release: 2007
Genre:
ISBN:

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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.


Genetic Studies for Improved Agronomic Performance Under Abiotic and Biotic Stresses in Spring Wheat (Triticum Aestivum L.)

Genetic Studies for Improved Agronomic Performance Under Abiotic and Biotic Stresses in Spring Wheat (Triticum Aestivum L.)
Author: Jayfred Gaham Villegas Godoy
Publisher:
Total Pages: 229
Release: 2016
Genre:
ISBN:

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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


Quantitative Trait Loci Mapping of Yield, Its Related Traits, and Spike Morphology Factors in Winter Wheat (Triticum Aestivum L. )

Quantitative Trait Loci Mapping of Yield, Its Related Traits, and Spike Morphology Factors in Winter Wheat (Triticum Aestivum L. )
Author: Robert Christopher Gaynor
Publisher:
Total Pages: 170
Release: 2011
Genre: Factor analysis
ISBN:

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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.


Wheat Blast

Wheat Blast
Author: Sudheer Kumar
Publisher: CRC Press
Total Pages: 157
Release: 2020-04-09
Genre: Science
ISBN: 0429894074

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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.


Genetical Analysis of Quantitative Traits

Genetical Analysis of Quantitative Traits
Author: Dr M Kearsey
Publisher: Garland Science
Total Pages: 396
Release: 2020-10-29
Genre: Science
ISBN: 1000144178

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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.


Physiological Breeding

Physiological Breeding
Author: Alistair Pask
Publisher: CIMMYT
Total Pages: 140
Release: 2012
Genre:
ISBN: 9706481826

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QTL Analysis of Wheat Grain Yield Components and Agronomic Traits Using Advanced Genotyping Platforms

QTL Analysis of Wheat Grain Yield Components and Agronomic Traits Using Advanced Genotyping Platforms
Author: Kyle D. Isham
Publisher:
Total Pages: 180
Release: 2019
Genre: Plant genetics
ISBN:

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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.


Effect of Heat Stress and Auxin Application at Flowering on Grain Yield and QTL Associated with Heat Stress Responses in Wheat (Triticum Aestivum L.)

Effect of Heat Stress and Auxin Application at Flowering on Grain Yield and QTL Associated with Heat Stress Responses in Wheat (Triticum Aestivum L.)
Author: Ganegama Lekamge Dhuanuja Neranjalee Abeysingha
Publisher:
Total Pages: 0
Release: 2022
Genre: Heat
ISBN:

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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.