QTL analysis of kernel size and shape in two hexaploid wheat mapping populations

2007 ◽  
Vol 101 (2) ◽  
pp. 172-179 ◽  
Author(s):  
Flavio Breseghello ◽  
Mark E. Sorrells
Keyword(s):  
Qtl Analysis ◽  
Hexaploid Wheat ◽  
Kernel Size ◽  
Size And Shape ◽  
Mapping Populations

scholarly journals High-density QTL mapping of leaf-related traits and chlorophyll content in three soybean RIL populations

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Kaiye Yu ◽  
Jinshe Wang ◽  
Chongyuan Sun ◽  
Xiaoqian Liu ◽  
Huanqing Xu ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Photosynthetic Efficiency ◽  
Plant Architecture ◽  
Seed Quality ◽  
Leaf Size ◽  
Yield Potential ◽  
Size And Shape ◽  
Genetic Components ◽  
Leaf Size And Shape ◽  
Mapping Populations

Abstract Background Leaf size and shape, which affect light capture, and chlorophyll content are important factors affecting photosynthetic efficiency. Genetic variation of these components significantly affects yield potential and seed quality. Identification of the genetic basis for these traits and the relationship between them is of great practical significance for achieving ideal plant architecture and high photosynthetic efficiency for improved yield. Results Here, we undertook a large-scale linkage mapping study using three mapping populations to determine the genetic interplay between soybean leaf-related traits and chlorophyll content across two environments. Correlation analysis revealed a significant negative correlation between leaf size and shape, while both traits were positively correlated with chlorophyll content. This phenotypic relationship was verified across the three mapping populations as determined by principal component analysis, suggesting that these traits are under the control of complex and interrelated genetic components. The QTLs for leaf-related traits and chlorophyll are partly shared, which further supports the close genetic relationship between the two traits. The largest-effect major loci, q20, was stably identified across all population and environments and harbored the narrow leaflet gene Gm-JAG1 (Ln/ln), which is a key regulator of leaflet shape in soybean. Conclusion Our results uncover several major QTLs (q4–1, q4–2, q11, q13, q18 and q20) and its candidate genes specific or common to leaf-related traits and chlorophyll, and also show a complex epistatic interaction between the two traits. The SNP markers closely linked to these valuable QTLs could be used for molecular design breeding with improved plant architecture, photosynthetic capacity and even yield.

QTLs affecting kernel size and shape in a two-rowed by six-rowed barley cross

2002 ◽  
Vol 105 (2) ◽  
pp. 237-247 ◽  
Author(s):  
M. Ayoub ◽  
S. Symons ◽  
M. Edney ◽  
D. Mather
Keyword(s):  
Kernel Size ◽  
Size And Shape

Association between Grain Size, Shape and Thousand Kernel Weight in Pakistani Wheat Landraces

2021 ◽  
Vol 5 (1) ◽  
pp. 25-37
Author(s):  
Sumaira Salah-ud-din ◽  
Alvina Gul ◽  
Rabia Amir ◽  
Muhammad Jamil ◽  
Hadi Alipour ◽  
...  
Keyword(s):  
Grain Size ◽  
Phenotypic Diversity ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Kernel Size ◽  
Seed Shape ◽  
Thousand Kernel Weight ◽  
Size And Shape ◽  
High Throughput Method ◽  
Wheat Landraces

Wheat (Triticum aestivum. L) grain size is considered to be one of the main criteria of yield constituents by wheat breeders. In order to detect phenotypic diversity and relationship between thousand kernel weight, a collection of 204 landraces from different parts of Pakistan was planted across two years (2012-2014). High throughput method based on seed imaging was used to measure the kernel size and shape. The correlation analysis revealed significant positive correlation between thousand kernel weight (TKW) with perimeter of vertical (PV), thickness (T), area of vertical (AV), area of horizontal (AH), perimeter of horizontal (PH), width (W) and Length (L). Bioplot showed that accessions with high seed shape parameters have higher TKW. By taking TKW as a dependent variable multiple regression analysis was performed. Regression summary indicated that 31% of the variations in TKW are explained by the independent variables. It was shown that grain thickness, length and width are most important for predicting TKW. Based on image analysis this study provides useful information about the relationship between TKW, kernel size and shape in Pakistani wheat landraces that may help to improve grain weight in a breeding program.

scholarly journals Salinity tolerance and Na+ exclusion in wheat: variability, genetics, mapping populations and QTL analysis

2011 ◽  
Vol 47 (Special Issue) ◽  
pp. S85-S93 ◽  
Author(s):  
Y. Shavrukov ◽  
N. Shamaya ◽  
M. Baho ◽  
J. Edwards ◽  
C. Ramsey ◽  
...  
Keyword(s):  
Bread Wheat ◽  
Salinity Tolerance ◽  
Qtl Analysis ◽  
Triticum Dicoccoides ◽  
Field Trials ◽  
Wide Range ◽  
Growing Conditions ◽  
Tolerance Gene ◽  
Tolerance To Salinity ◽  
Mapping Populations

A wide range of variability in both Na<sup>+</sup> exclusion and salinity tolerance was shown in Triticum dicoccoides and the best performing genotype, from Getit, was identified for further study and for crossing. In bread wheat, plants BC<sub>6</sub>F<sub>1</sub> from the cross Chinese Spring/line SQ1 showed less variability, but the line 1868 was identified as a potential source of tissue tolerance to salinity. Two Afghani durum landraces were identified among 179 screened, with approximately 50% lower Na<sup>+</sup> accumulation in shoots. Genetic analysis of F<sub>2</sub> progenies between landraces and durum wheat showed clear segregation indicating on the single, major salinity tolerance gene in the landraces. Further genetic and molecular analysis of the candidate gene and its localization is in the progress. QTL analysis of two non-pedigree related mapping populations of bread wheat, Cranbrook &times;&nbsp;Halberd and Excalibur &times; Kukri, showed one QTL in each population on the same region of chromosome 7AS, independent of year or growing conditions (both supported hydroponics and field trials), and a novel gene is expected to be associated with this QTL.

ENU Large-scale Mutagenesis and Quantitative Trait Linkage (QTL) Analysis in Mice: Novel Technologies for Searching Polygenetic Determinants of Craniofacial Abnormalities

2003 ◽  
Vol 14 (5) ◽  
pp. 320-330 ◽  
Author(s):  
Ichiro Nishimura ◽  
Thomas A. Drake ◽  
Aldons J. Lusis ◽  
Karen M. Lyons ◽  
Joseph H. Nadeau ◽  
...  
Keyword(s):  
Qtl Analysis ◽  
Quantitative Trait ◽  
Large Scale ◽  
Genomic Sequence ◽  
Sequence Data ◽  
Craniofacial Abnormalities ◽  
Novel Technologies ◽  
Size And Shape ◽  
Quantitative Trait Linkage ◽  
Mapping Techniques

Discrepancies in size and shape of the jaws are the underlying etiology in many orthodontic and orthognathic surgery patients. Genetic factors combined with environmental interactions have been postulated to play a causal or contributory role in these craniofacial abnormalities. Along with the soon-to-be-available complete human and mouse genomic sequence data, mouse mutants have become a valuable tool in the functional mapping of genes involved in the development of human maxillofacial dysmorphologies. We review two powerful methods in such efforts: N-ethyl-N-nitrosourea (ENU) large-scale mutagenesis and quantitative trait linkage (QTL) analysis. The former aims at producing a plethora of novel variants of particular trait(s), and ultimately mapping the point mutations responsible for the appearance of these new traits. In contrast, the latter applies intensive breeding and mapping techniques to identify multiple loci (and, subsequently, genes) contributing to the phenotypic difference between the tested strains. A prerequisite for either approach to studying variations in the traits of interest is the application of effective mouse cephalometric phenotype analysis and rapid DNA mapping techniques. These approaches will produce a wealth of new data on critical genes that influence the size and shape of the human face.

QTL mapping for grain zinc and iron concentrations and zinc efficiency in a tetraploid and hexaploid wheat mapping populations

2016 ◽  
Vol 411 (1-2) ◽  
pp. 81-99 ◽  
Author(s):  
Govindan Velu ◽  
Yusuf Tutus ◽  
Hugo F. Gomez-Becerra ◽  
Yuanfeng Hao ◽  
Lütfü Demir ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Hexaploid Wheat ◽  
Zinc Efficiency ◽  
Grain Zinc ◽  
Mapping Populations ◽  
Iron Concentrations

Molecular marker analysis of kernel size and shape in bread wheat

2003 ◽  
Vol 122 (5) ◽  
pp. 392-395 ◽  
Author(s):  
B. B. Dholakia ◽  
J. S. S. Ammiraju ◽  
H. Singh ◽  
M. D. Lagu ◽  
M. S. Röder ◽  
...  
Keyword(s):  
Molecular Marker ◽  
Bread Wheat ◽  
Kernel Size ◽  
Size And Shape ◽  
Marker Analysis ◽  
Molecular Marker Analysis

The analysis of quantitative traits in wheat mapping populations

2001 ◽  
Vol 52 (12) ◽  
pp. 1195 ◽  
Author(s):  
P. J. Eckermann ◽  
A. P. Verbyla ◽  
B. R. Cullis ◽  
R. Thompson
Keyword(s):  
Doubled Haploid ◽  
Qtl Analysis ◽  
Field Trials ◽  
Major Effect ◽  
Field Variation ◽  
Percent Protein ◽  
Maturity Class ◽  
Highly Correlated ◽  
Standard Situation ◽  
Mapping Populations

This paper discusses the analysis of quantitative trait loci (QTLs) using molecular markers from a doubled haploid wheat mapping population arising from the Cranbrook Halberd cross. Two field trials are used to provide phenotypic information on the trait of interest, which is grain percentage protein. Methods for QTL analysis are reviewed together with methods for the analysis of field trials. The aim of the paper is to examine different approaches for QTL analysis, namely the conventional approach available in standard software, which ignores field variation, a 2-stage approach that provides adjusted phenotypic effects for a subsequent QTL analysis, and a joint marker and spatial analysis. The major effect, however, is the maturity class of the doubled haploid lines. Maturity and percent protein appear highly correlated genetically so QTL analysis shows marked changes if maturity is included as a covariate. More subtle changes occur due to field variation but this may not be the standard situation.

Sign in / Sign up

Export Citation Format

Share Document