scholarly journals TaGRF3-2A Improves Some Agronomically Valuable Traits in Semi-Dwarf Spring Triticale

Plants ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2012
Author(s):  
Mikhail Divashuk ◽  
Anastasiya Chernook ◽  
Aleksandra Kroupina ◽  
Milena Vukovic ◽  
Gennady Karlov ◽  
...  
Keyword(s):  
Growth Regulation ◽  
Stem Elongation ◽  
Grain Weight ◽  
Thousand Grain Weight ◽  
Marker Assisted Breeding ◽  
Negative Effects ◽  
Spring Triticale ◽  
Allelic State ◽  
Size Growth ◽  
Economically Valuable Traits

The breeding improvement of triticale is tightly associated with the introgression of dwarfing genes, in particular, gibberellin (GA)-insensitive Ddw1 from rye. Despite the increase in harvest index and resistance to lodging, this gene adversely affects grain weight and size. Growth regulation factor (GRF) genes are plant-specific transcription factors that play an important role in plant growth, including GA-induced stem elongation. This study presents the results of a two-year field experiment to assess the effect of alleles of the TaGRF3-2A gene in interaction with DDW1 on economically valuable traits of spring triticale plants grown in the Non-Chernozem zone. Our results show that, depending on the allelic state, the TaGRF3-2A gene in semi-dwarf spring triticale plants influences the thousand grain weight and the grain weight of the main spike in spring triticale, which makes it possible to use it to compensate for the negative effects of the dwarfing allele Ddw1. The identified allelic variants of the TaGRF3-2A gene can be included in marker-assisted breeding for triticale to improve traits.

scholarly journals The development and validation of new DNA markers linked to the thousand-grain weight QTL in bread wheat (Triticum aestivum L.)

2020 ◽  
Vol 56 (No. 2) ◽  
pp. 52-61
Author(s):  
Cong Cong Yang ◽  
Jian Ma ◽  
Cong Li ◽  
Min Sun ◽  
Ya Ya Zou ◽  
...  
Keyword(s):  
Dna Markers ◽  
High Resolution Melting ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
Scar Markers ◽  
Thousand Grain Weight ◽  
Marker Assisted Breeding ◽  
Positive Allele ◽  
Important Trait ◽  
Development And Validation

Thousand-grain weight (TGW) is an important trait affecting wheat production. We previously identified a major quantitative trait loci (QTL) controlling the TGW on the 2D chromosome of wheat using a recombinant inbred line (RIL) population constructed by the cross between Tibetan semi-wild wheat Q1028 (Q1028) and Zhengmai 9023 (ZM9023). The positive allele at this QTL is from ZM9023. To further characterise this QTL, here, we try to develop and validate the high-resolution melting (HRM) and sequence-characterised amplified region (SCAR) markers. One HRM marker (0C98-411) and two SCAR markers (E301-700 and B0BB-10470) were developed and integrated into the genetic map. All of these three markers were validated in three populations with different genetic backgrounds. 0C98-411 is the most closely linked marker that could trace QTgw.sau-2D in molecular marker assisted breeding.

scholarly journals Research on a Rice Counting Algorithm Based on an Improved MCNN and a Density Map

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 721
Author(s):  
Ao Feng ◽  
Hongxiang Li ◽  
Zixi Liu ◽  
Yuanjiang Luo ◽  
Haibo Pu ◽  
...  
Keyword(s):  
Grain Weight ◽  
Gaussian Kernel ◽  
Density Level ◽  
Thousand Grain Weight ◽  
Original Algorithm ◽  
Different Types ◽  
Different Shapes ◽  
Density Map ◽  
Important Basis ◽  
Adhesion Condition

The thousand grain weight is an index of size, fullness and quality in crop seed detection and is an important basis for field yield prediction. To detect the thousand grain weight of rice requires the accurate counting of rice. We collected a total of 5670 images of three different types of rice seeds with different qualities to construct a model. Considering the different shapes of different types of rice, this study used an adaptive Gaussian kernel to convolve with the rice coordinate function to obtain a more accurate density map, which was used as an important basis for determining the results of subsequent experiments. A Multi-Column Convolutional Neural Network was used to extract the features of different sizes of rice, and the features were fused by the fusion network to learn the mapping relationship from the original map features to the density map features. An advanced prior step was added to the original algorithm to estimate the density level of the image, which weakened the effect of the rice adhesion condition on the counting results. Extensive comparison experiments show that the proposed method is more accurate than the original MCNN algorithm.

scholarly journals Expected genetic advance for thousand grain weight and grain number per spike of bread wheat and durum wheat

2016 ◽  
Vol 61 (2) ◽  
pp. 113-125
Author(s):  
Gordana Brankovic ◽  
Dejan Dodig ◽  
Desimir Knezevic ◽  
Vesna Kandic ◽  
Jovan Pavlov
Keyword(s):  
Durum Wheat ◽  
Bread Wheat ◽  
Yield Component ◽  
Grain Weight ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Genetic Advance ◽  
Thousand Grain Weight ◽  
Grain Number ◽  
Grain Number Per Spike

The research was aimed at examining variability, variance components, broadsense heritability (h2), expected genetic advance of thousand grain weight (TGW) and grain number per spike (GNS) of 15 genotypes of bread wheat and 15 genotypes of durum wheat. Field trials were carried out during 2010-2011 and 2011-2012 growing seasons at the three sites: Rimski Sancevi, Zemun Polje and Padinska Skela. Results of this investigation showed that the genetic component of variance (?2 g) was predominant for TGW of bread and durum wheat and for GNS of bread wheat. The genotype ? environment interaction (?2 ge) component of phenotypic variance was 8.72 times higher than ?2 g for GNS of durum wheat and pointed to the greater instability of durum wheat genotypes. h2 was very high (>90%) for TGW and GNS of bread wheat, high for TGW of durum wheat - 87.3% and low for GNS of durum wheat - 39.5%. Considering the high values obtained for h2 - 96.4% and the highest value for expected genetic advance as percent of mean (GAM) - 19.3% for TGW of bread wheat, the success of selection for desired values of this yield component can be anticipated. The success of selection cannot be predicted for GNS of durum wheat due to low values obtained for h2 and GAM of 39.5% and 2.8%, respectively.

scholarly journals Genetic correlations and path-coefficient analysis of yield and quality components in wheat, Triticum aestivum L.

Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Veselinka Zecevic ◽  
Desimir Knezevic ◽  
Danica Micanovic
Keyword(s):  
Genetic Correlation ◽  
Harvest Index ◽  
Genetic Correlations ◽  
Grain Weight ◽  
Spike Length ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Bread Making

The genetic and phenotypic correlations between yield components (productive tillering, plant height, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, grain weight per plant, harvest index, thousand grain weight) and quality components (grain protein content and sedimentation value) were investigated. The plant material was comprised of 50 genotypes of winter wheat grown during two years. Path- coefficient analysis of genetic correlation coefficients for grain mass/plant and other traits determined interrelationships among grain mass per plant and other yield and bread making quality components. The strongest positive genetic correlation was found between grain weight per spike and thousand grain weight and between spike length and number of spikelets per spike. Phenotypic correlation analysis indicated that grain weight per spike correlated positively and significantly with harvest index and thousand kernel weight. The strongest direct effect on grain weight per plant had harvest index and number of spikelets per spike. The spike length through number of spikelets per spike had the strongest indirect effect on grain weight per plant.

scholarly journals Plant growth regulators to manipulate oat stands

2008 ◽  
Vol 13 (1-2) ◽  
pp. 186 ◽  
Author(s):  
A. RAJALA
Keyword(s):  
Plant Growth ◽  
Plant Growth Regulators ◽  
Growth Regulators ◽  
Stand Structure ◽  
Stem Elongation ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
Biological Traits ◽  
Hordeum Vulgare L ◽  
Division Cell

Plant growth regulators (PGRs) are exogenously applied chemicals that alter plant metabolism, cell division, cell enlargement, growth and development by regulating plant hormones or other biological signals. For example, some PGRs regulate stem elongation by inhibiting biosynthesis of gibberellins or through releasing ethylene. PGR effects are widely studied and reported on barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.), whereas there are only a few reports addressing oat (Avena sativa L.). This is likely to be a result of smaller acreage and lower intensity of oat management and production and hence a reduced need for stem shortening by PGRs. However, this is not the case for all cereal producing regions and there exists a need to understand the potential application of PGRs to oat production. This paper represents a review of the potential of PGRs to regulate stem elongation and other biological traits governing plant stand structure and yield components, with special emphasis on oat and its responses to PGRs. Yield improvement requires more heads per unit land area, more grains per head or heavier grains. Of these yield-determining parameters, the number of head bearing tillers and grain numbers per head, compared with grain weight, are more likely to be improved by PGR application. In the absence of lodging, PGR may reduce grain yield due to potential reduction in mean grain weight and/or grain number. Cultivation systems aiming at extensive yields with intensive use of inputs likely benefit from PGR applications more often compared with low or moderate input cultivation, for which cost effectiveness of PGRs is not frequently reached.;

scholarly journals The study of the nature of the inheritance of quantitative traits in F1 hybrids of winter soft wheat

2020 ◽  
Vol 17 ◽  
pp. 00084
Author(s):  
Olga Antoshina ◽  
Julia Odnodushnova ◽  
Gennadiy Fadkin ◽  
Irina Kondakova ◽  
Olga Fedosova
Keyword(s):  
Quantitative Traits ◽  
First Generation ◽  
Grain Weight ◽  
Soft Wheat ◽  
F1 Hybrids ◽  
Complex Nature ◽  
Intraspecific Hybridization ◽  
Quantitative Characteristics ◽  
Economically Valuable Traits ◽  
Ear Number

In the conditions of the south of the Nonchernozem Zone, intraspecific hybridization of winter soft wheat was carried out. When selecting parental forms used in crossing, special attention was paid to such economically valuable traits as productive tilling capacity, the number of grains and the mass of grain per spike. The true (Htru) and hypothetical heterosis (Hhyp) on the basis of “plant height”, “length of the lower internode”, “length of the upper internode”, “general tilling capacity”, “productive tilling capacity”, “spike length”, “number of spikelets”, “number of grains” and “grain weight per spike” were determined. It was established that the inheritance of quantitative traits in hybrids of the first generation was distinguished by the complex nature of distribution by types. Studies have made possible to identify 5 hybrid combinations F1, in which the effect of heterosis manifests itself simultaneously on five quantitative characteristics (ear length, number of spikelets per ear, number of grains per ear, grain weight per ear, mass grain from a plant).

A major and stable QTL controlling wheat thousand grain weight: identification, characterization, and CAPS marker development

2020 ◽  
Vol 40 (7) ◽  
Author(s):  
Xixian Duan ◽  
Haixia Yu ◽  
Wujun Ma ◽  
Jiaqiang Sun ◽  
Yun Zhao ◽  
...  
Keyword(s):  
Grain Weight ◽  
Marker Development ◽  
Thousand Grain Weight ◽  
Caps Marker

scholarly journals Full-length transcriptome sequences of Agropyron cristatum facilitate the prediction of putative genes for thousand-grain weight in a wheat-A. cristatum translocation line

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Shenghui Zhou ◽  
Jinpeng Zhang ◽  
Haiming Han ◽  
Jing Zhang ◽  
Huihui Ma ◽  
...  
Keyword(s):  
Single Molecule ◽  
Sequence Data ◽  
Full Length ◽  
Grain Weight ◽  
Agropyron Cristatum ◽  
Reference Sequence ◽  
Translocation Line ◽  
Thousand Grain Weight ◽  
Sequencing Platform ◽  
Transcriptome Sequences

Abstract Background Agropyron cristatum (L.) Gaertn. (2n = 4x = 28; genomes PPPP) is a wild relative of common wheat (Triticum aestivum L.) and provides many desirable genetic resources for wheat improvement. However, there is still a lack of reference genome and transcriptome information for A. cristatum, which severely impedes functional and molecular breeding studies. Results Single-molecule long-read sequencing technology from Pacific Biosciences (PacBio) was used to sequence full-length cDNA from a mixture of leaves, roots, stems and caryopses and constructed the first full-length transcriptome dataset of A. cristatum, which comprised 44,372 transcripts. As expected, the PacBio transcripts were generally longer and more complete than the transcripts assembled via the Illumina sequencing platform in previous studies. By analyzing RNA-Seq data, we identified tissue-enriched transcripts and assessed their GO term enrichment; the results indicated that tissue-enriched transcripts were enriched for particular molecular functions that varied by tissue. We identified 3398 novel and 1352 A. cristatum-specific transcripts compared with the wheat gene model set. To better apply this A. cristatum transcriptome, the A. cristatum transcripts were integrated with the wheat genome as a reference sequence to try to identify candidate A. cristatum transcripts associated with thousand-grain weight in a wheat-A. cristatum translocation line, Pubing 3035. Conclusions Full-length transcriptome sequences were used in our study. The present study not only provides comprehensive transcriptomic insights and information for A. cristatum but also proposes a new method for exploring the functional genes of wheat relatives under a wheat genetic background. The sequence data have been deposited in the NCBI under BioProject accession number PRJNA534411.

scholarly journals Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat

BMC Genetics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Huijun Guo ◽  
Hongchun Xiong ◽  
Yongdun Xie ◽  
Linshu Zhao ◽  
Jiayu Gu ◽  
...  
Keyword(s):  
Plant Height ◽  
Phenotypic Variation ◽  
Plant Architecture ◽  
Agronomic Traits ◽  
Tiller Number ◽  
Grain Weight ◽  
Leaf Angle ◽  
Cytokinin Oxidase ◽  
Thousand Grain Weight ◽  
Wheat Mutant

Abstract Background Wheat mutant resources with phenotypic variation have been developed in recent years. These mutants might carry favorable mutation alleles, which have the potential to be utilized in the breeding process. Plant architecture and yield-related features are important agronomic traits for wheat breeders and mining favorable alleles of these traits will improve wheat characteristics. Results Here we used 190 wheat phenotypic mutants as material and by analyzing their SNP variation and phenotypic data, mutation alleles for plant architecture and yield-related traits were identified, and the genetic effects of these alleles were evaluated. In total, 32 mutation alleles, including three pleiotropic alleles, significantly associated with agronomic traits were identified from the 190 wheat mutant lines. The SNPs were distributed on 12 chromosomes and were associated with plant height (PH), tiller number, flag leaf angle (FLA), thousand grain weight (TGW), and other yield-related traits. Further phenotypic analysis of multiple lines carrying the same mutant allele was performed to determine the effect of the allele on the traits of interest. PH-associated SNPs on chromosomes 2BL, 3BS, 3DL, and 5DL might show additive effects, reducing PH by 10.0 cm to 31.3 cm compared with wild type, which means that these alleles may be favorable for wheat improvement. Only unfavorable mutation alleles that reduced TGW and tiller number were identified. A region on chromosome 5DL with mutation alleles for PH and TGW contained several long ncRNAs, and their sequences shared more than 90% identity with cytokinin oxidase/dehydrogenase genes. Some of the mutation alleles we mined were colocalized with previously reported QTLs or genes while others were novel; these novel alleles could also result in phenotypic variation. Conclusion Our results demonstrate that favorable mutation alleles are present in mutant resources, and the region between 409.5 to 419.8 Mb on chromosome 5DL affects wheat plant height and thousand grain weight.

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