Influence translocation from Secale cereale and Aegilops speltoides to agronomic traits of spring wheat breeding lines

Author(s):  
V. V. Piskarev ◽  
◽  
V. A. Aparina ◽  
N. I. Boyko ◽  
E. V. Morozova ◽  
...  

The results of a comparative study of recombinants carrying translocations from Secale сereale (Lr45) and Aegilops speltoides (Lr28, Lr47) with recombinants without translocations and recipient cultivars Novosibirskaya 31 and Sibirskaya 17 were presented in the article.

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0148671 ◽  
Author(s):  
Liangliang Gao ◽  
M. Kathryn Turner ◽  
Shiaoman Chao ◽  
James Kolmer ◽  
James A. Anderson

2021 ◽  
Vol 12 ◽  
Author(s):  
Harsimardeep S. Gill ◽  
Jyotirmoy Halder ◽  
Jinfeng Zhang ◽  
Navreet K. Brar ◽  
Teerath S. Rai ◽  
...  

Genomic prediction is a promising approach for accelerating the genetic gain of complex traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic prediction (GP) models remains a challenge in the successful implementation of this approach. Multivariate models have shown promise when evaluated using diverse panels of unrelated accessions; however, limited information is available on their performance in advanced breeding trials. Here, we used multivariate GP models to predict multiple agronomic traits using 314 advanced and elite breeding lines of winter wheat evaluated in 10 site-year environments. We evaluated a multi-trait (MT) model with two cross-validation schemes representing different breeding scenarios (CV1, prediction of completely unphenotyped lines; and CV2, prediction of partially phenotyped lines for correlated traits). Moreover, extensive data from multi-environment trials (METs) were used to cross-validate a Bayesian multi-trait multi-environment (MTME) model that integrates the analysis of multiple-traits, such as G × E interaction. The MT-CV2 model outperformed all the other models for predicting grain yield with significant improvement in PA over the single-trait (ST-CV1) model. The MTME model performed better for all traits, with average improvement over the ST-CV1 reaching up to 19, 71, 17, 48, and 51% for grain yield, grain protein content, test weight, plant height, and days to heading, respectively. Overall, the empirical analyses elucidate the potential of both the MT-CV2 and MTME models when advanced breeding lines are used as a training population to predict related preliminary breeding lines. Further, we evaluated the practical application of the MTME model in the breeding program to reduce phenotyping cost using a sparse testing design. This showed that complementing METs with GP can substantially enhance resource efficiency. Our results demonstrate that multivariate GS models have a great potential in implementing GS in breeding programs.


2010 ◽  
Vol 121 (4) ◽  
pp. 717-730 ◽  
Author(s):  
Toi J. Tsilo ◽  
Gary A. Hareland ◽  
Senay Simsek ◽  
Shiaoman Chao ◽  
James A. Anderson

Author(s):  
Vija Strazdiņa

History of wheat breeding in Latvia A gene pool of Latvian winter and spring wheat (Triticum aestivum L.) has been created over a very long period, by collection, evaluation and selection of local genetic resources, and investigation of varieties and breeding lines from other countries in the world. It is not only a historical collection, but also serves as the foundation for research and plant breeding. National wheat germplasm is the framework for creating competitive winter and spring wheat varieties of grain with high yield, resistant to lodging and diseases, and quality acceptable for producers in the Baltic agroclimatical region. In Latvia, from 1920 to 1990, the selected wheat varieties were not stable pure lines, but mostly population varieties. After accession to UPOV (International Union for the Protection of New Varieties of Plants), the requirements for new varieties have changed, and only distinct, uniform and stable varieties, characterised by high economical value are registered in Plant Catalogues. To implement wheat breeding programmes it is necessary to improve breeding methods by plant tissue culture and production of doubled haploids (DH). During 90 years, 16 winter and 11 spring wheat varieties of bread wheat (Tr. aestivum L.) have been created at Priekuļi and Stende and introduced in the market. The achievements of several generations of Latvian wheat breeders are reviewed in this paper.


aBIOTECH ◽  
2021 ◽  
Author(s):  
Jun Li ◽  
Yan Li ◽  
Ligeng Ma

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.


2015 ◽  
Vol 43 (4) ◽  
pp. 638-648 ◽  
Author(s):  
M. Kwiatek ◽  
H. Wiśniewska ◽  
Z. Kaczmarek ◽  
M. Korbas ◽  
M. Gawłowska ◽  
...  

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1152
Author(s):  
Mir Asif Iquebal ◽  
Pallavi Mishra ◽  
Ranjeet Maurya ◽  
Sarika Jaiswal ◽  
Anil Rai ◽  
...  

Karnal bunt (KB) of wheat (Triticum aestivum L.), known as partial bunt has its origin in Karnal, India and is caused by Tilletia indica (Ti). Its incidence had grown drastically since late 1960s from northwestern India to northern India in early 1970s. It is a seed, air and soil borne pathogen mainly affecting common wheat, durum wheat, triticale and other related species. The seeds become inedible, inviable and infertile with the precedence of trimethylamine secreted by teliospores in the infected seeds. Initially the causal pathogen was named Tilletia indica but was later renamed Neovossia indica. The black powdered smelly spores remain viable for years in soil, wheat straw and farmyard manure as primary sources of inoculum. The losses reported were as high as 40% in India and also the cumulative reduction of national farm income in USA was USD 5.3 billion due to KB. The present review utilizes information from literature of the past 100 years, since 1909, to provide a comprehensive and updated understanding of KB, its causal pathogen, biology, epidemiology, pathogenesis, etc. Next generation sequencing (NGS) is gaining popularity in revolutionizing KB genomics for understanding and improving agronomic traits like yield, disease tolerance and disease resistance. Genetic resistance is the best way to manage KB, which may be achieved through detection of genes/quantitative trait loci (QTLs). The genome-wide association studies can be applied to reveal the association mapping panel for understanding and obtaining the KB resistance locus on the wheat genome, which can be crossed with elite wheat cultivars globally for a diverse wheat breeding program. The review discusses the current NGS-based genomic studies, assembly, annotations, resistant QTLs, GWAS, technology landscape of diagnostics and management of KB. The compiled exhaustive information can be beneficial to the wheat breeders for better understanding of incidence of disease in endeavor of quality production of the crop.


2020 ◽  
pp. 1
Author(s):  
Khem Pant ◽  
Bishnu Ojha ◽  
Dhruba Thapa ◽  
Raju Kharel ◽  
Nutan Gautam ◽  
...  

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2525
Author(s):  
Xuan Wang ◽  
Xinying Guo ◽  
Xixi Ma ◽  
Liang Luo ◽  
Yaoyu Fang ◽  
...  

Brown planthopper, blast, and bacterial blight are the main biotic stressors of rice and can cause a massive loss in rice production. Aroma is an important character of rice quality. It is of far-reaching significance to breed resistant and high-quality varieties using germplasms with objective genes. In this study, the introgression and pyramiding of brown planthopper (BPH), blast, and bacterial leaf blight (BLB) resistance genes and aroma genes into elite rice maintainers and restorers were conducted through conventional cross-breeding coupled with the marker-assisted selection (MAS) breeding method. Single-plant selection was performed from F2 onwards to select desirable recombinants possessing alleles of interest with suitable phenotypes. Respective linked markers were used in each generation from intercrossing to the F7 generation for tracking the presence of targeted genes. A total of 74 improved lines (ILs) have been developed which possess a combination of 1 to 4 genes for BPH, blast, and BLB resistance and aroma. These ILs showed moderate to high resistance to multiple biotic stresses (BPH, blast and BLB) or aromatic fragrance without obvious negative effects on agronomic traits. As multiple resistance and aromatic traits have become significant objectives in rice breeding, these resistance and/or aroma gene introgressed or pyramided lines have important application prospects. Core ideas: (1) marker-assisted breeding was used to pyramid multiple genes for an elite breeding line; (2) improved lines with the introgression of 1–4 genes were developed to achieve high resistance against various biotic stresses and aroma; (3) new lines were used as donor parents to introgress multiple genes in other genetic backgrounds.


Plants ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 149
Author(s):  
Sergey Shepelev ◽  
Alexey Morgounov ◽  
Paulina Flis ◽  
Hamit Koksel ◽  
Huihui Li ◽  
...  

Western Siberia is one of the major spring wheat regions of Russia, cultivating over 7 Mha. The objective of the study was to evaluate the variation of macro- and microelements, and of trace metals in four distinct groups of genetic resources: primary synthetics from CIMMYT (37 entries), primary synthetics from Japan (8), US hard red spring wheat cultivars (14), and material from the Kazakhstan–Siberian Network on Spring Wheat Improvement (KASIB) (74). The experiment was conducted at Omsk State Agrarian University, using a random complete block design with four replicates in 2017 and 2018. Concentrations of 15 elements were included in the analysis: macroelements, Ca, K, Mg, P, and S; microelements, Fe, Cu, Mn, and Zn; toxic trace elements, Cd, Co, Ni; and trace elements, Mo, Rb, and Sr. Protein content was found to be positively correlated with the concentrations of 11 of the elements in one or both years. Multiple regression was used to adjust the concentration of each element, based on significant correlations with agronomic traits and macroelements. All 15 elements were evaluated for their suitability for genetic enhancement, considering phenotypic variation, their share of the genetic component in this variation, as well as the dependence of the element concentration on other traits. Three trace elements (Sr, Mo, and Co) were identified as traits that were relatively easy to enhance through breeding. These were followed by Ca, Cd, Rb, and K. The important biofortification elements Mn and Zn were among the traits that were difficult to enhance genetically. The CIMMYT and Japanese synthetics had significantly higher concentrations of K and Sr, compared to the local check. The Japanese synthetics also had the highest concentrations of Ca, S, Cd, and Mo. The US cultivars had concentrations of Ca as high as the Japanese synthetics, and the highest concentrations of Mg and Fe. KASIB’s germplasm had near-average values for most elements. Superior germplasm, with high macro- and microelement concentrations and low trace-element concentrations, was found in all groups of material included.


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