scholarly journals Genomic Selection Outperforms Marker Assisted Selection for Grain Yield and Physiological Traits in a Maize Doubled Haploid Population Across Water Treatments

2018 ◽  
Vol 9 ◽  
Author(s):  
Diego Cerrudo ◽  
Shiliang Cao ◽  
Yibing Yuan ◽  
Carlos Martinez ◽  
Edgar Antonio Suarez ◽  
...  
Genome ◽  
2011 ◽  
Vol 54 (6) ◽  
pp. 517-527 ◽  
Author(s):  
Bahram Heidari ◽  
Badraldin Ebrahim Sayed-Tabatabaei ◽  
Ghodratollah Saeidi ◽  
Michael Kearsey ◽  
Kazuhiro Suenaga

A doubled haploid (DH) population derived from a cross between the Japanese cultivar ‘Fukuho-kumogi’ and the Israeli wheat line ‘Oligoculm’ was used to map genome regions involved in the expression of grain yield, yield components, and spike features in wheat (Triticum aestivum L). A total of 371 markers (RAPD, SSR, RFLP, AFLP, and two morphological traits) were used to construct the linkage map that covered 4190 cM of wheat genome including 28 linkage groups. The results of composite interval mapping for all studied traits showed that some of the quantitative trait loci (QTL) were stable over experiments conducted in 2004 and 2005. The major QTL located in the Hair–Xpsp2999 interval on chromosome 1A controlled the expression of grains/spike (R2 = 12.9% in 2004 and 22.4% in 2005), grain weight/spike (R2 = 21.4% in 2004 and 15.8% in 2005), and spike number (R2 = 15.6% in 2004 and 5.4% in 2005). The QTL for grain yield located on chromosomes 6A, 6B, and 6D totally accounted for 27.2% and 31.7% of total variation in this trait in 2004 and 2005, respectively. Alleles inherited from ‘Oligoculm’ increased the length of spikes and had decreasing effects on spike number. According to the data obtained in 2005, locus Xgwm261 was associated with a highly significant spike length QTL (R2 = 42.33%) and also the major QTL for spikelet compactness (R2 = 26.1%).


2014 ◽  
Vol 168 ◽  
pp. 126-134 ◽  
Author(s):  
Guillermo A. García ◽  
Román A. Serrago ◽  
Fernanda G. González ◽  
Gustavo A. Slafer ◽  
Matthew P. Reynolds ◽  
...  

2021 ◽  
Author(s):  
Yaswant Kumar Pankaj ◽  
Rajeev Kumar ◽  
Lalit Pal ◽  
Ragupati Nagarajan ◽  
Kulvinder Singh Gill ◽  
...  

Abstract India, the second most populated country and the largest wheat producer worldwide, is vulnerable to global warming especially heat stress. In the present investigation, the doubled haploid population derived from PBW343/IC252478 cross was characterized for various phenotypic and morpho-physiological traits and subjected to stability analysis under heat stress conditions. These lines were planted on a single location i.e., Agricultural farm of Rajendra Prasad Central Agricultural University, India for two successive seasons 2017/2018 and, 2018/2019 under three different sowing dates (Controlled or timely, late and, very late sown conditions). Here, the location preferred for this study was because it represents a hotspot for wheat production and the major constraint for the wheat grower is inclining heat stress. The alpha lattice design was used for the current investigation with three replicates. The overall objective of this study was to identify the ideal double haploid lines for heat-stressed conditions. The results revealed that heat stress had a significant adverse impact on all considered traits contributed to overall yield losses of about 50%. Stability measurements, and genotype × environment interaction (GGE), were useful tools to determine the ideal lines for late sowing (heat stressed condition) and very late sowing condition (terminal heat stress). Therefore, in the ranking of genotypes for both mean yield and stability performance across the six environments, DH 71, DH 150, DH 64, DH 138, DH 98, DH 84, DH 62, DH 104, DH 74, DH 3, DH 104, DH 107 & DH 156 were ranked closest to ideal genotype, these were highly adapted, most stable, heat tolerant and high yielding lines indicating them as the most desirable genotypes out of 167 lines studied. Hence, the physiological traits SPAD index (Soil plant analysis development) and Canopy temperature (CT) can be used effectively to screen out the line for heat tolerance. In addition, the stable wheat genotypes identified could be used in the future wheat breeding programs.


Heredity ◽  
1990 ◽  
Vol 65 (1) ◽  
pp. 115-122 ◽  
Author(s):  
W Powell ◽  
R P Ellis ◽  
M Macaulay ◽  
J McNicol ◽  
B P Forster

2020 ◽  
Vol 71 (8) ◽  
pp. 752
Author(s):  
Calum Watt ◽  
Gaofeng Zhou ◽  
Tefera Tolera Angessa ◽  
David Moody ◽  
Chengdao Li

The gene HvDEP1, on barley (Hordeum vulgare L.) chromosome 5H, encodes a γ-subunit of the heterotrimeric G-protein complex and was previously determined to be a candidate gene underlying a major quantitative trait locus for grain length. In the present study, we identified a 9 bp indel (insertion–deletion mutation) at position –84 bp from the start codon within a reported upstream open reading frame located in the 5′ UTR (untranslated region) and developed a diagnostic molecular marker. We also identified a 13 bp indel (–514 bp) in linkage disequilibrium that bridges an important regulatory motif. Using a doubled-haploid population and a barley diversity panel, we were able to show that the effects of these indels were environmentally stable and consistently delineated phenotypic groups based on grain length and 1000-grain weight. Genotypes represented by deletions at these two positions relative to the reference cv. Morex had consistently shorter grains, by 3.69–3.96%, and lower 1000-grain weight, by 2.38–4.21%, in a doubled-haploid population studied. Additionally, a diversity panel was tested but consistent differences were observed only for grain length, reinforcing literature indicating the importance of this gene for grain-length regulation. The frequency of the longer and heavier grained reference allele was higher in modern cultivars, suggesting that indirect selection for longer grain may have occurred through direct selection for grain yield via grain-weight improvement. These results indicate that grain length and 1000-grain weight in barley can be manipulated by targeting variation in gene promoters through marker-assisted selection.


2018 ◽  
Vol 97 (5) ◽  
pp. 1389-1406 ◽  
Author(s):  
Farshad Fattahi ◽  
Barat Ali Fakheri ◽  
Mahmood Solouki ◽  
Christian Möllers ◽  
Abbas Rezaizad

2019 ◽  
Vol 132 (6) ◽  
pp. 1705-1720 ◽  
Author(s):  
Jin Sun ◽  
Jesse A. Poland ◽  
Suchismita Mondal ◽  
José Crossa ◽  
Philomin Juliana ◽  
...  

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