GRINDING TIME—A SCREENING TEST FOR KERNEL HARDNESS IN WHEAT

1978 ◽  
Vol 58 (2) ◽  
pp. 415-420 ◽  
Author(s):  
F. G. KOSMOLAK
Keyword(s):  
Screening Test ◽  
Wheat Breeding ◽  
Small Samples ◽  
Kernel Hardness ◽  
Breeding Programs ◽  
Seed Damage ◽  
Percent Moisture ◽  
Wheat Lines ◽  
Grinding Time

A test for screening early generation wheat lines for kernel hardness is described. The test is rapid, uses small samples and is easily performed. Resulting grinding times can be used to classify wheat according to hardness, to detect possible seed damage, to give an estimate of the potential milling and baking quality of wheat and to make quality screening more efficient. Differences between hard and soft wheats are large so that protein content, kernel size and percent moisture have little effect on the use of grinding time as a quality screening test in wheat breeding programs in western Canada.

Haplotype analyses in wheat for complex traits: tracking the chromosome 3B and 7B regions associated with late maturity alpha amylase (LMA) in breeding programs

2009 ◽  
Vol 60 (5) ◽  
pp. 463 ◽  
Author(s):  
M. D. McNeil ◽  
D. Diepeveen ◽  
R. Wilson ◽  
I. Barclay ◽  
R. McLean ◽  
...  
Keyword(s):  
Complex Traits ◽  
Genetic Relationships ◽  
Artificial Chromosome ◽  
Wheat Breeding ◽  
Breeding Programs ◽  
Discriminating Power ◽  
Late Maturity ◽  
Australian Wheat ◽  
Wheat Lines ◽  
Chromosome 3B

The quantitative trait loci (QTLs) on chromosomes 7BL and 3BS from Halberd have been used as a major source of tolerance to late maturity α amylase (LMA) within Australian wheat breeding programs. New simple sequence repeat (SSR) markers identified from the sequencing of Bacterial Artificial Chromosome (BAC) clones from the wheat cv. Renan library, and known SSRs, were used to characterise these major QTLs. The reduction or elimination of the LMA defect in wheat cultivars is a major goal for wheat breeding programs and is confounded by the complexity in measuring the trait unambiguously. In this haplotyping study focussing on two significant chromosomal regions, markers and combinations of markers were investigated for their ability to discriminate between 39 Australian and Mexican wheat lines differing in levels of LMA. Genetic relationships among these wheat lines estimated by cluster analysis of molecular marker data were combined with phenotypic information in order to calibrate the genotypes of the wheat lines against their LMA phenotype. It was evident that some SSRs from the respective QTLs had greater discriminating power than others to identify LMA phenotypes. Discrimination was not, however, absolute and a statistical analysis of the data defined a risk factor associated with particular combinations of alleles, for use in early selection or backcrossing.

Contributions of glutenin and puroindoline genes to grain quality traits in southern Australian wheat breeding programs

2006 ◽  
Vol 57 (2) ◽  
pp. 179 ◽  
Author(s):  
H. A. Eagles ◽  
Karen Cane ◽  
R. F. Eastwood ◽  
G. J. Hollamby ◽  
Haydn Kuchel ◽  
...  
Keyword(s):  
Water Absorption ◽  
Development Time ◽  
Grain Quality ◽  
Genotypic Variation ◽  
Wheat Breeding ◽  
Wagga Wagga ◽  
Breeding Programs ◽  
Dough Development Time ◽  
Milling Yield

Glutenin genes were known to influence maximum dough resistance (Rmax), dough extensibility (extensibility), and dough development time, whereas puroindoline genes were known to influence grain hardness, flour water absorption (water absorption), and milling yield. These are important determinants of grain quality of wheat in Australia. This study was conducted to investigate the combined effect of these genes on Rmax, extensibility, dough development time, water absorption, and milling yield in a large dataset assembled from the breeding programs based at Horsham, Victoria; Roseworthy, South Australia; and Wagga Wagga, New South Wales; for at least 10 seasons. The effect of the glutenin genes on Rmax, extensibility, and dough development time was confirmed, as was the effect of the puroindoline genes on water absorption and milling yield. In addition, puroindoline genes were shown to significantly affect extensibility and dough development time. The Pina-D1a/Pinb-D1b genotype increased extensibility, dough development time, and milling yield relative to the Pina-D1b/Pinb-D1a genotype. Both of these genotypes are present in cultivars classified as hard-grained in southern Australia. Therefore, the allelic composition of both glutenin and puroindoline genes is required to predict the grain quality of hard wheat in southern Australian breeding programs. The glutenin and puroindoline genes in combination accounted for more than 50% of the genotypic variance for these traits, except for milling yield, but a substantial proportion of the genotypic variation could not be attributed to these genes, indicating that other genes affecting the traits were present in the populations of these wheat-breeding programs.

Microsatellites as markers for Australian wheat improvement

2001 ◽  
Vol 52 (12) ◽  
pp. 1121 ◽  
Author(s):  
N. Harker ◽  
L. R. Rampling ◽  
M. R. Shariflou ◽  
M. J. Hayden ◽  
T. A. Holton ◽  
...  
Keyword(s):  
Molecular Marker ◽  
Genetic Markers ◽  
Wheat Breeding ◽  
Genetic Maps ◽  
Wheat Varieties ◽  
Breeding Programs ◽  
Wheat Improvement ◽  
Australian Wheat ◽  
Mapping Populations

Microsatellite markers have been shown to be highly polymorphic and simple to use in hexaploid wheat. This study aimed to establish microsatellites as informative markers for Australian wheat improvement. By screening microsatellites developed as part of the Wheat Microsatellite Consortium and other available microsatellite sources, 257 informative microsatellites for Australian wheat varieties were identified and reported in the Australian National Wheat Molecular Marker Program microsatellite database (http://www.scu.edu.au/research/cpcg/). Of these, 151 microsatellites identifying 172 loci were scored on at least 1 of 4 double haploid mapping populations and were then integrated, where possible, into existing genetic maps. Polymorphism information content values were calculated for most microsatellites to establish a reference for their value for future investigations. The mapping of available microsatellites enhances the quality of the genetic maps and may provide useful genetic markers for traits of interest to the Australian wheat breeding programs.

scholarly journals Correlation among SDS Sedimentation Value, Swelling Index of Glutenin and Solvent Retention Capacity of Spring Wheat

2012 ◽  
Vol 4 (2) ◽  
pp. 132-135 ◽  
Author(s):  
Deyong ZHAO ◽  
Lei WANG ◽  
Yunting LEI
Keyword(s):  
Spring Wheat ◽  
Wheat Breeding ◽  
Soft Wheat ◽  
High Quality ◽  
Early Generation ◽  
Wheat Breeding Program ◽  
Hard Wheat ◽  
Wheat Lines ◽  
Sedimentation Value

The determination of flour end-use quality of progenies is a routine process in high-quality wheat breeding program. Traditional determination involves larger amount of flour and specific instruments, meanwhile, is expensive and time-consuming. A rapid and accurate method which could predict the quality of early generation wheat lines is in high demand in the wheat breeding program. Clarifying the relationships among different prediction indexes is the prerequisite for devising a new prediction method screening the high-quality progenies. This study aimed to clarify the correlations between SDS sedimentation value, SIG and SRCs for both wholemeal flour and flour, as well as to study which parameter could be applied to predict the flour quality of spring wheat rapidly and conveniently. The result of the study showed that WSRC correlated significantly with all the parameters determined, the four different SRCs varied significantly between hard wheat and soft wheat, while SDS sedimentation value and SIG showed no significant difference between hard wheat and soft wheat. SRC test may provide a convenient method for predicting the quality of early generation wheat lines in wheat breeding.

scholarly journals Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision

2020 ◽  
Vol 13 (1) ◽  
pp. 26
Author(s):  
Wen-Hao Su ◽  
Jiajing Zhang ◽  
Ce Yang ◽  
Rae Page ◽  
Tamas Szinyei ◽  
...  
Keyword(s):  
Fusarium Head Blight ◽  
Ground Truth ◽  
Wheat Breeding ◽  
Head Blight ◽  
Detection Rates ◽  
Ground Truth Data ◽  
Resistant Cultivars ◽  
Feature Pyramid ◽  
Rater Error ◽  
Wheat Lines

In many regions of the world, wheat is vulnerable to severe yield and quality losses from the fungus disease of Fusarium head blight (FHB). The development of resistant cultivars is one means of ameliorating the devastating effects of this disease, but the breeding process requires the evaluation of hundreds of lines each year for reaction to the disease. These field evaluations are laborious, expensive, time-consuming, and are prone to rater error. A phenotyping cart that can quickly capture images of the spikes of wheat lines and their level of FHB infection would greatly benefit wheat breeding programs. In this study, mask region convolutional neural network (Mask-RCNN) allowed for reliable identification of the symptom location and the disease severity of wheat spikes. Within a wheat line planted in the field, color images of individual wheat spikes and their corresponding diseased areas were labeled and segmented into sub-images. Images with annotated spikes and sub-images of individual spikes with labeled diseased areas were used as ground truth data to train Mask-RCNN models for automatic image segmentation of wheat spikes and FHB diseased areas, respectively. The feature pyramid network (FPN) based on ResNet-101 network was used as the backbone of Mask-RCNN for constructing the feature pyramid and extracting features. After generating mask images of wheat spikes from full-size images, Mask-RCNN was performed to predict diseased areas on each individual spike. This protocol enabled the rapid recognition of wheat spikes and diseased areas with the detection rates of 77.76% and 98.81%, respectively. The prediction accuracy of 77.19% was achieved by calculating the ratio of the wheat FHB severity value of prediction over ground truth. This study demonstrates the feasibility of rapidly determining levels of FHB in wheat spikes, which will greatly facilitate the breeding of resistant cultivars.

scholarly journals Recent advances in CRISPR/Cas9 and applications for wheat functional genomics and breeding

aBIOTECH ◽  
2021 ◽  
Author(s):  
Jun Li ◽  
Yan Li ◽  
Ligeng Ma
Keyword(s):  
Functional Genomics ◽  
Genome Editing ◽  
Functional Annotation ◽  
Genome Engineering ◽  
Agronomic Traits ◽  
Wheat Breeding ◽  
Breeding Programs ◽  
Base Editing ◽  
The World ◽  
World Food Security

AbstractCommon wheat (Triticum aestivum L.) is one of the three major food crops in the world; thus, wheat breeding programs are important for world food security. Characterizing the genes that control important agronomic traits and finding new ways to alter them are necessary to improve wheat breeding. Functional genomics and breeding in polyploid wheat has been greatly accelerated by the advent of several powerful tools, especially CRISPR/Cas9 genome editing technology, which allows multiplex genome engineering. Here, we describe the development of CRISPR/Cas9, which has revolutionized the field of genome editing. In addition, we emphasize technological breakthroughs (e.g., base editing and prime editing) based on CRISPR/Cas9. We also summarize recent applications and advances in the functional annotation and breeding of wheat, and we introduce the production of CRISPR-edited DNA-free wheat. Combined with other achievements, CRISPR and CRISPR-based genome editing will speed progress in wheat biology and promote sustainable agriculture.

Revision of the estimates of glutenin gene effects at the Glu-B1 locus from southern Australian wheat breeding programs

2004 ◽  
Vol 55 (10) ◽  
pp. 1093 ◽  
Author(s):  
H. A. Eagles ◽  
R. F. Eastwood ◽  
G. J. Hollamby ◽  
E. M. Martin ◽  
G. B. Cornish
Keyword(s):  
Development Time ◽  
Low Frequency ◽  
Wheat Breeding ◽  
Correct Identification ◽  
Gene Effects ◽  
Breeding Programs ◽  
Multiple Alleles ◽  
Intermediate Allele ◽  
Dough Extensibility ◽  
Dough Development Time

Glutenins are the major determinant of dough characteristics in wheat. These proteins are determined by genes at 6 loci, with multiple alleles present in southern Australian breeding programs. Previously, we estimated the effects of these genes on maximum dough resistance (Rmax), dough extensibility and dough development time. Subsequently, the allele previously classified as Glu-B1b was found to consist of 2 alleles, with one, now considered to be Glu-B1al, producing an overexpression of the Bx7 glutenin subunit. Therefore, there is a potential bias in our previous estimates. An extended dataset was analysed with the 2 alleles now separated. These analyses identified negligible biases in our previous estimates, probably due to a low frequency of Glu-B1al before 1999. However, Glu-B1al produced significantly higher Rmax, dough extensibility, and dough development time values than all other alleles at the Glu-B1 locus. Therefore, at intermediate allele frequencies, substantial bias in estimates of the effects of the Glu-B1 alleles can be expected without correct identification of Glu-B1al.

scholarly journals Evolution of Physiologic Races and Virulence of Puccinia striiformis on Wheat in Syria and Lebanon

Plant Disease ◽  
2002 ◽  
Vol 86 (5) ◽  
pp. 499-504 ◽  
Author(s):  
A. H. Yahyaoui ◽  
M. S. Hakim ◽  
M. El Naimi ◽  
N. Rbeiz
Keyword(s):  
Resistance Genes ◽  
Puccinia Striiformis ◽  
Yellow Rust ◽  
Wheat Breeding ◽  
Natural Conditions ◽  
Breeding Programs ◽  
Land Race ◽  
Physiologic Races ◽  
Resistant Genotypes

Virulence-avirulence phenotypes of Puccinia striiformis isolates collected in Lebanon and Syria were determined on seedlings of the wheat-yellow rust differential genotypes. We found 25 and 11 physiologic races over 6 years (1994 to 1999) in Syria and Lebanon, respectively. The composition of physiologic races found in Syria and Lebanon differed greatly between 1994 and 1999. Races identified in 1999, such as 230E150 and 230E134, have wider spectra of virulence on resistant genotypes than races collected in 1994. In Lebanon, three races were found in 1994 compared with six races in 1999. Yellow rust differential genotypes were used in a trap nursery to monitor yellow rust populations under natural conditions. Races identified from cultivars in the trap nursery in Syria and Lebanon, and from land race cultivars in Iraq, were recovered among the races identified from farm fields. Yellow rust samples were collected from Yemen, and none of the races identified from Yemen samples were identical to those in Syria and Lebanon. Virulence frequencies in the yellow rust population on the differential genotypes tested in the trap nurseries were above 70% for some resistance genes. Yellow rust populations in Syria and Lebanon have diverse virulence phenotypes. P. striiformis populations appear to be changing over, and this would be an important consideration for wheat breeding programs in the region.

INHERITANCE OF KERNEL HARDNESS IN WHEAT CLARIFIED

1987 ◽  
Vol 67 (1) ◽  
pp. 235-237 ◽  
Author(s):  
D. R. SAMPSON ◽  
D. W. FLYNN
Keyword(s):  
Triticum Aestivum ◽  
Spring Wheat ◽  
Triticum Aestivum L ◽  
Kernel Hardness ◽  
Grinding Time

Kernel hardness, measured as grinding time, of seed from plant-rows extracted from the spring wheat (Triticum aestivum L.) parents of a previous study, showed that Cal 3, thought to have had medium-hard kernels, was in fact a mixture of soft and hard plants plus a few intermediates. This explains unexpected results. Parents Cal 9, Cal 25 and Cal 13 were each homogeneous for plants with soft, hard and very hard kernels, respectively.Key words: Wheat, Triticum aestivum L., medium-hard kernels, grinding time, genetics

scholarly journals Inheritance of plant height, spike length and number of spikelets per spike in Durum wheat

2007 ◽  
pp. 27-33 ◽  
Author(s):  
Biljana Gorjanovic ◽  
Marija Kraljevic-Balalic
Keyword(s):  
Durum Wheat ◽  
Plant Height ◽  
Combining Ability ◽  
Wheat Breeding ◽  
Specific Combining Ability ◽  
Spike Length ◽  
First Year ◽  
Gene Effects ◽  
Breeding Programs ◽  
Additive Genes

Using the line x tester analysis we studied the combining ability and gene effects of plant height, spike length and number of spikelets per spike in durum wheat. The results of the study show that non-additive genes play more important role than additive genes in the inheritance of plant height, number of spikelets per spike in both years and in inheritance of spike length only in the first year of research. Variety Belfugito, the best general combiner for plant height and number of spikelets per spike, combined well in two best hybrids: Belfugito x Alifen and Belfugito x Yavaros 79, and these hybrids may be used in wheat breeding programs. In the majority of the cases, good specific combining ability (SCA) effects were associated with crosses of two genetically divergent parents having at least one parent as a good general combiner.

Sign in / Sign up

Export Citation Format

Share Document