scholarly journals High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley ( Hordeum vulgare )

2019 ◽  
Vol 98 (3) ◽  
pp. 555-570 ◽  
Author(s):  
Ben Ward ◽  
Chris Brien ◽  
Helena Oakey ◽  
Allison Pearson ◽  
Sónia Negrão ◽  
...  
2014 ◽  
Vol 203 (1) ◽  
pp. 195-205 ◽  
Author(s):  
Timothy S. George ◽  
Lawrie K. Brown ◽  
Luke Ramsay ◽  
Philip J. White ◽  
Adrian C. Newton ◽  
...  

Genome ◽  
2001 ◽  
Vol 44 (4) ◽  
pp. 523-528 ◽  
Author(s):  
Raja Kota ◽  
Markus Wolf ◽  
Wolfgang Michalek ◽  
Andreas Graner

Recent advances in DNA sequence analysis and the establishment of high-throughput assays have provided the framework for large-scale discovery and analysis of DNA sequence variation. In this context, single nucleotide polymorphisms (SNPs) are of particular interest. To initiate a systematic approach to develop an SNP map of barley (Hordeum vulgare L.), we have employed denaturing high-performance liquid chromatography (DHPLC) to analyse segregating SNP patterns in a doubled-haploid (DH) mapping population. To this end, SNPs between the parental genotypes were identified using a direct sequencing approach. Once a SNP was established between the parents, the optimal melting temperature of the PCR fragment containing the SNP was predicted for its analysis by DHPLC. Following the detection of the optimal temperature, the DH lines were analysed for the presence of either of the alleles. To test the utility of the analysis, data from previously mapped RFLP markers from which these SNPs were derived were compared. Results from these experiments indicate that DHPLC can be efficiently employed in analysing SNPs on a high-throughput scale.Key words: denaturing high performance liquid chromatography, doubled-haploid lines, restriction fragment length polymorphism, genetic mapping, molecular markers.


Plants ◽  
2016 ◽  
Vol 6 (4) ◽  
pp. 1 ◽  
Author(s):  
Abdur Rashid ◽  
Thomas Baldwin ◽  
Michael Gines ◽  
Phil Bregitzer ◽  
Kathy Esvelt Klos

1972 ◽  
Vol 14 (2) ◽  
pp. 209-213 ◽  
Author(s):  
Gurmel Sidhu ◽  
Clayton Person

The genetics of resistance of three barley varieties, Excelsior (E), Hannchen (H) and Vantage (V), was investigated against two known virulence genes (Uhv-1 and Uhv-2) present in two test cultures of Ustilago hordei. Segregations obtained from F3 progenies derived from crosses EXH and EXV revealed that resistance and susceptibility to the two test cultures were inherited independently of one another; the resistance was expressed as a dominant characteristic at both loci. The host alleles discovered through the interactions with culture UhV1UhV1Uhv2Uhv2 were designated as UhR1 and Uhr1; those revealed by interactions with culture Uhv1Uhv1UhV2UhV2 were designated as UhR2 and Uhr2. The genotype UhR1UhR1Uhr2UhV2 was thus assigned to varieties Hannchen and Vantage and UhR1Uhr1UhR2UhR2 to variety Excelsior. The interrelationships between two loci for resistance in the host and the two corresponding loci for virulence in the pathogen thus lead us to conclude that a gene-for-gene relationship also exists in the Hordeum vulgare: Ustilago hordei system.


2012 ◽  
Vol 13 (3) ◽  
pp. 2973-2984 ◽  
Author(s):  
Shuzuo Lv ◽  
Xiaojun Nie ◽  
Le Wang ◽  
Xianghong Du ◽  
Siddanagouda S. Biradar ◽  
...  

Author(s):  
M. Herrero-Huerta ◽  
K. M. Rainey

<p><strong>Abstract.</strong> Nowadays, an essential tool to improve the efficiency of crop genetics is automated, precise and cost-effective phenotyping of the plants. The aim of this study is to generate a methodology for high throughput phenotyping the physiological growth dynamics of soybeans by UAS-based 3D modelling. During the 2018 growing season, a soybean experiment was performed at the Agronomy Center for Research and Education (ACRE) in West-Lafayette (Indiana, USA). Periodic images were acquired by G9X Canon compact digital camera on board senseFly eBee. The study area is reconstructed in 3D by Image-based modelling. Algorithms and techniques were combined to analyse growth dynamics of the crop via height variations and to quantify biomass. Results provide practical information for the selection of phenotypes for breeding.</p>


2010 ◽  
Vol 119 (1) ◽  
pp. 36-47 ◽  
Author(s):  
Gisela Borràs-Gelonch ◽  
Gustavo A. Slafer ◽  
Ana M. Casas ◽  
Fred van Eeuwijk ◽  
Ignacio Romagosa

2018 ◽  
Author(s):  
Oluwaseyi Shorinola ◽  
Ryan Kaye ◽  
Guy Golan ◽  
Zvi Peleg ◽  
Stefan Kepinski ◽  
...  

ABSTRACTRoots are the main channel for water and nutrient uptake in plants. Optimisation of root architecture provides a viable strategy to improve nutrient and water uptake efficiency and maintain crop productivity under water-limiting and nutrient-poor conditions. We know little, however, about the genetic control of root development in wheat, a crop supplying 20% of global calorie and protein intake. To improve our understanding of the genetic control of seminal root development in wheat, we conducted a high-throughput screen for variation in seminal root number using an exome-sequenced mutant population derived from the hexaploid wheat cultivar Cadenza. The screen identified seven independent mutants with homozygous and stably altered seminal root number phenotypes. One mutant, Cadenza0900, displays a recessive extra seminal root number phenotype, while six mutants (Cadenza0062, Cadenza0369, Cadenza0393, Cadenza0465, Cadenza0818 and Cadenza1273) show lower seminal root number phenotypes most likely originating from defects in the formation and activation of seminal root primordia. Segregation analysis in F2 populations suggest that the phenotype of Cadenza0900 is controlled by multiple loci whereas the Cadenza0062 phenotype fits a 3:1 mutant:wild-type segregation ratio characteristic of dominant single gene action. This work highlights the potential to use the sequenced wheat mutant population as a forward genetic resource to uncover novel variation in agronomic traits, such as seminal root architecture.


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