Molecular marker analysis of kernel size and shape in bread wheat

Dholakia, Bhushan B.; Ammiraju, Jetty S.S.; Singh, Harinder; Lagu, M. D.; Röder, Marion S.; Rao, V. S.; Dhaliwal, H. S.; Ranjekar, P. K.; Gupta, Vidya S.; Weber, Wilhelm

doi:10.1046/j.1439-0523.2003.00896.x

Cited by 128 publications

(83 citation statements)

References 24 publications

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“…In the same way the maximum test weight was observed in Shafaq and minimum in TJ-83. Test weight and thousand kernel weight were highly significant and similar to the earlier findings of Anjum et al (2002) and Dholakia et al (2003).…”

Section: Physical Characteristics Of Wheat Varietiessupporting

confidence: 91%

Suitability of spring wheat varieties for the production of best quality pizza

et al. 2012

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The selection of appropriate wheat cultivars is an imperative issue in product development and realization. The nutritional profiling of plants and their cultivars along with their suitability for development of specific products is of considerable interests for multi-national food chains. In this project, Pizza-Hut Pakistan provided funds for the selection of suitable newly developed Pakistani spring variety for pizza production. In this regard, the recent varieties were selected and evaluated for nutritional and functional properties for pizza production. Additionally, emphasis has been paid to assess all varieties for their physico-chemical attributes, rheological parameters and mineral content. Furthermore, pizza prepared from respective flour samples were further evaluated for sensory attributes Results showed that Anmool, Abadgar, Imdad, SKD-1, Shafaq and Moomal have higher values for protein, gluten content, pelshenke value and SDS sedimentation and these were relatively better in studied parameters as compared to other varieties although which were considered best for good quality pizza production. TD-1 got significantly highest score for flavor of pizza and lowest score was observed from wheat variety Kiran. Moreover, it is concluded from current study that all wheat varieties except TJ-83 and Kiran exhibited better results for flavor.

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Section: Physical Characteristics Of Wheat Varietiessupporting

confidence: 91%

Suitability of spring wheat varieties for the production of best quality pizza

et al. 2012

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“…Xgwm30 was associated with kernel width in NY at high significance; Xwmc18 was near the most important QTL for kernel cross section in the mapping population AC Reed 3 Grandin (F. Breseghello and M. E. Sorrells, unpublished results) and Xgwm515 has been related to kernel weight (Dholakia et al 2003). The association of kernel width with Xgwm30 and not with other closely linked markers can be interpreted as improved resolution of AM compared to QTL analysis.…”

Section: 46)mentioning

confidence: 94%

“…Dholakia et al (2003) detected a QTL for kernel size in bread wheat near Xgwm261. Our population did not allow a precise location of this QTL because LD was relatively high in this genomic region (Figure 4).…”

Section: 46)mentioning

confidence: 99%

Association Mapping of Kernel Size and Milling Quality in Wheat (Triticum aestivum L.) Cultivars

2006

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Association mapping is a method for detection of gene effects based on linkage disequilibrium (LD) that complements QTL analysis in the development of tools for molecular plant breeding. In this study, association mapping was performed on a selected sample of 95 cultivars of soft winter wheat. Population structure was estimated on the basis of 36 unlinked simple-sequence repeat (SSR) markers. The extent of LD was estimated on chromosomes 2D and part of 5A, relative to the LD observed among unlinked markers. Consistent LD on chromosome 2D was ,1 cM, whereas in the centromeric region of 5A, LD extended for 5 cM. Association of 62 SSR loci on chromosomes 2D, 5A, and 5B with kernel morphology and milling quality was analyzed through a mixed-effects model, where subpopulation was considered as a random factor and the marker tested was considered as a fixed factor. Permutations were used to adjust the threshold of significance for multiple testing within chromosomes. In agreement with previous QTL analysis, significant markers for kernel size were detected on the three chromosomes tested, and alleles potentially useful for selection were identified. Our results demonstrated that association mapping could complement and enhance previous QTL information for marker-assisted selection. T HE basic objective of association mapping (AM)studies is to detect correlations between genotypes and phenotypes in a sample of individuals on the basis of linkage disequilibrium (LD) (Zondervan and Cardon 2004). In the study of genetics of complex diseases in humans, AM offers the important advantage of sampling unrelated individuals in the population, as compared to other experimental designs that require sampling within families (Risch 2000). In contrast to humans, plants can be manipulated to develop large experimental populations with desirable characteristics for genetic mapping, so in principle use of the association approach might not seem as appealing as it is in humans.However, sampling unrelated genotypes presents a number of advantages for the development of tools for marker-assisted selection in plant breeding ( Jannink et al. 2001). First, the experimental population can be a representative sample of the population to which inference is desired. Examples are a core collection from a gene bank, varieties representing the elite germplasm of a breeding program or inbred lines representing a synthetic outcrossing population. In this way, information derived from the experiments should be readily applicable to crop improvement. Second, AM can be more efficient in the use of resources. A group of unrelated individuals normally presents variation for many phenotypic aspects; thus several traits can be studied in the same population using the same genotypic data. A higher proportion of molecular markers are likely to be polymorphic, providing better genome coverage than any biparental map. Furthermore, if elite lines are used for study, multi-year and multi-location phenotypic data may be available at no additional cost (Ra...

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“…Previous studies used a limited number of metrics that were analyzed discretely largely in single mapping populations (Giura and Saulescu, 1996;Campbell et al, 1999;Dholakia et al, 2003;Breseghello and Sorrels, 2007;Sun et al, 2009). This approach identifies only pairwise associations between traits and single-trait genetic effects; therefore, it is limited in providing a comprehensive model for the phenotypic and genetic structure of the quantitative traits.…”

Section: Introductionmentioning

confidence: 99%

A Genetic Framework for Grain Size and Shape Variation in Wheat

et al. 2010

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Grain morphology in wheat (Triticum aestivum) has been selected and manipulated even in very early agrarian societies and remains a major breeding target. We undertook a large-scale quantitative analysis to determine the genetic basis of the phenotypic diversity in wheat grain morphology. A high-throughput method was used to capture grain size and shape variation in multiple mapping populations, elite varieties, and a broad collection of ancestral wheat species. This analysis reveals that grain size and shape are largely independent traits in both primitive wheat and in modern varieties. This phenotypic structure was retained across the mapping populations studied, suggesting that these traits are under the control of a limited number of discrete genetic components. We identified the underlying genes as quantitative trait loci that are distinct for grain size and shape and are largely shared between the different mapping populations. Moreover, our results show a significant reduction of phenotypic variation in grain shape in the modern germplasm pool compared with the ancestral wheat species, probably as a result of a relatively recent bottleneck. Therefore, this study provides the genetic underpinnings of an emerging phenotypic model where wheat domestication has transformed a long thin primitive grain to a wider and shorter modern grain.

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Molecular marker analysis of kernel size and shape in bread wheat

Cited by 128 publications

References 24 publications

Suitability of spring wheat varieties for the production of best quality pizza

Suitability of spring wheat varieties for the production of best quality pizza

Association Mapping of Kernel Size and Milling Quality in Wheat (Triticum aestivum L.) Cultivars

A Genetic Framework for Grain Size and Shape Variation in Wheat

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