Historic Role of the Wheat Variety Akakomugi in Southern and Central European Wheat Breeding Programs

Borojević, Ksenija

doi:10.1270/jsbbs.55.253

Cited by 30 publications

(24 citation statements)

References 3 publications

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“…Likewise, the genotypes grouped in the fourth cluster with predominant Croatian varieties represented descendants of Mara and Libellula, two Italian varieties that had a great impact on wheat breeding in former Yugoslavia. These cultivars were improved for the local climatic conditions and industry requirements (Borojevic and Borojevic 2005). Our findings confirmed that population structure and genotype relatedness assessed with molecular markers are consistent with genotype origin and available pedigree data.…”

Section: Discussionsupporting

confidence: 83%

Determination of population structure of wheat core collection for association mapping

Brbaklić¹,

Trkulja²,

Kondić‐Špika³

et al. 2015

Cereal Research Communications

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The microsatellites, as one of the most robust markers for identification of wheat varieties, were used for assessment of genetic diversity and population structure to promote effective use of genetic resources. In this study, the set of 284 wheat varieties were genotyped using 30 microsatellite markers. The chosen SSR markers were located among almost all linkage groups and covered all three genomes. The genotypes used originate from 24 different breeding centers worldwide and are included in an extensive core collection of the Institute of Field and Vegetable Crops in Novi Sad, Serbia. The total number of detected alleles was 349 at all analyzed loci. The average number of detected allelic variant per locus was 11.5. The mean value of polymorphic information content was 0.68. According to the probability of data obtained by program Structure, the results have shown presence of 6 subpopulations within the studied set of genotypes. The population structure positively correlated to some extent with geographic origin. The available pedigree data were included for additional explanation of population structure. The results of this study should provide valuable information for future association studies using the diverse wheat breeding material.

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Section: Discussionsupporting

confidence: 83%

Determination of population structure of wheat core collection for association mapping

Brbaklić¹,

Trkulja²,

Kondić‐Špika³

et al. 2015

Cereal Research Communications

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“…This suggests that Ppd‐D1a originated in Asia. Haplotype I was detected in many Chinese landraces, such as ‘Mazhamai’, ‘Youzimai’, ‘Jiangdongmen’ and ‘Wangshuibai’ in the present study, and in Japanese landraces, such as ‘Akakomugi’ (Borojevic, 2005). These landraces were used widely as parents in Chinese and worldwide wheat‐breeding programs.…”

Section: Discussionsupporting

confidence: 61%

Discovery, evaluation and distribution of haplotypes of the wheat Ppd‐D1 gene

et al. 2009

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Summary• Ppd-D1 is one of the most potent genes affecting the photoperiod response of wheat (Triticum aestivum). Only two alleles, insensitive Ppd-D1a and sensitive Ppd-D1b, were known previously, and these did not adequately explain the broad adaptation of wheat to photoperiod variation.• In this study, five diagnostic molecular markers were employed to identify Ppd-D1 haplotypes in 492 wheat varieties from diverse geographic locations and 55 accessions of Aegilops tauschii, the D genome donor species of wheat.• Six Ppd-D1 haplotypes, designated I-VI, were identified. Types II, V and VI were considered to be more ancient and types I, III and IV were considered to be derived from type II. The transcript abundances of the Ppd-D1 haplotypes showed continuous variation, being highest for haplotype I, lowest for haplotype III, and correlating negatively with varietal differences in heading time. These haplotypes also significantly affected other agronomic traits. The distribution frequency of Ppd-D1 haplotypes showed partial correlations with both latitudes and altitudes of wheat cultivation regions.• The evolution, expression and distribution of Ppd-D1 haplotypes were consistent evidentially with each other. What was regarded as a pair of alleles in the past can now be considered a series of alleles leading to continuous variation.

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“…These results demonstrated that the grain yield potential of wheat has risen from 4.86 to 7.81 t ha − For example, the improvement of kernels per spike can be attributed in part to the effect of the dwarfing genes coming from Akakomugi and introduced in modern genotypes (Borojevic and Borojevic 2005a). These genes have been reported to modify morphogenetic patterns within spikes, which can result in more kernels per spike (Austin et al 1980, Donmez et al 2001, Mladenov et al 2007.…”

Section: Discussionmentioning

confidence: 94%

“…Bezostaja 1 came from very complex crosses in which one parent was Klein 33 from Argentina. Klein 33 came from a cross in which one parent was Ardito, of which one parent was Akakomugi (Borojevic and Borojevic 2005a). The pathway of the Rht8 gene (of the variety Akakomugi) was from Japan to Italy, from Italy to Argentina and from Argentina to Europe and the former Soviet Union.…”

Section: Grain Yieldmentioning

confidence: 99%

Breeding progress in grain yield of winter wheat cultivars grown at different nitrogen levels in semiarid conditions

et al. 2011

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The objectives of this study were to estimate the progress in wheat genetic yield potential, associated with changes in some agronomic traits, under different N rates. Twenty-four cultivars of winter wheat (T. aestivum L.) representing most of the cultivars released in Serbia from 1955 to 2006 were analyzed. The cultivars were grown for four years (2005)(2006)(2007)(2008) in field trails with two levels of agronomic inputs (low nitrogen-N 45 and high nitrogen-N 110 ). Data were collected on 1000-kernel weight, kernels per spike, kernels per square meter, spikes per square meter, plant height, harvest index, heading time and grain yield. Mean difference between the two fertilization levels was 0.44 t ha −1 . The average rate of increase in yield potential per year of release, estimated from the slope, was 41 kg ha −1 year −1 and it was significantly different from zero (P ≤ 0.01). It was 35 kg ha −1 year −1 or 0.55% at the low level of N input, and 46 kg ha −1 year −1 or 0.68% at the high level of N input. This suggests that modern cultivars are better adapted to high N input. Our results suggested that individual contribution of the most of analyzed traits may vary depending on the genotype as well as environmental conditions.

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Historic Role of the Wheat Variety Akakomugi in Southern and Central European Wheat Breeding Programs

Cited by 30 publications

References 3 publications

Determination of population structure of wheat core collection for association mapping

Determination of population structure of wheat core collection for association mapping

Discovery, evaluation and distribution of haplotypes of the wheat Ppd‐D1 gene

Breeding progress in grain yield of winter wheat cultivars grown at different nitrogen levels in semiarid conditions

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