scholarly journals Mapping Quantitative Trait Loci Controlling High Iron and Zinc Content in Self and Open Pollinated Grains of Pearl Millet [Pennisetum glaucum (L.) R. Br.]

2016 ◽  
Vol 7 ◽  
Author(s):  
Sushil Kumar ◽  
Charles T. Hash ◽  
Nepolean Thirunavukkarasu ◽  
Govind Singh ◽  
Vengaldas Rajaram ◽  
...  
Genes ◽  
2018 ◽  
Vol 9 (5) ◽  
pp. 248 ◽  
Author(s):  
Sushil Kumar ◽  
Charles Hash ◽  
Thirunavukkarasu Nepolean ◽  
Mahesh Mahendrakar ◽  
Chellapilla Satyavathi ◽  
...  

Plant Biology ◽  
2015 ◽  
Vol 17 (5) ◽  
pp. 1073-1084 ◽  
Author(s):  
K. Aparna ◽  
T. Nepolean ◽  
R. K. Srivastsava ◽  
J. Kholová ◽  
V. Rajaram ◽  
...  

2013 ◽  
Vol 36 (14) ◽  
pp. 2132-2153 ◽  
Author(s):  
Keith E. King ◽  
Gregory A. Peiffer ◽  
Manju Reddy ◽  
Nick Lauter ◽  
Shun Fu Lin ◽  
...  

2019 ◽  
Vol 154 (4) ◽  
pp. 983-994 ◽  
Author(s):  
Durgaraju Chelpuri ◽  
Rajan Sharma ◽  
Kilaru Kanaka Durga ◽  
Pooja Katiyar ◽  
Mahesh D. Mahendrakar ◽  
...  

2012 ◽  
Vol 12 (1) ◽  
pp. 9 ◽  
Author(s):  
Deepmala Sehgal ◽  
Vengaldas Rajaram ◽  
Ian Peter Armstead ◽  
Vincent Vadez ◽  
Yash Pal Yadav ◽  
...  

2017 ◽  
Vol 77 (1) ◽  
pp. 65 ◽  
Author(s):  
N. Anuradha ◽  
C. Tara Satyavathi ◽  
M. C. Meena ◽  
S. Mukesh Sankar ◽  
C. Bharadwaj ◽  
...  

2012 ◽  
Vol 47 (8) ◽  
pp. 1660-1668 ◽  
Author(s):  
Fatoumata Hama ◽  
Christèle Icard-Vernière ◽  
Jean-Pierre Guyot ◽  
Isabelle Rochette ◽  
Bréhima Diawara ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Peter Anabire Asungre ◽  
Richard Akromah ◽  
Alexander Wireko Kena ◽  
Prakash Gangashetty

Twenty-two open-pollinated varieties (OPVs) of pearl millet (Pennisetum glaucum) genotypes were tested in two locations for three seasons in Ghana to estimate the magnitude of genetic variability, heritability, and stability for grain yield and related traits and grain micronutrients among the varieties. General analysis of variance within and across locations and years revealed very highly significant variability ( p < 0.01 ) among the genotypes. The additive main effects and multiplicative interaction (AMMI) analyses revealed significant genotype × environment interaction (GEI) that influenced the relative ranking of genotypes across the environments. Genotypic variance ( σ 2 g ) contributed a greater proportion of the phenotypic variance (σ2p) for plant height (530.31) and grain Fe content (34.72). Broad-sense heritability ( h b s 2 ) varied widely from 24.82% for grain yield to 77.53% in days to flower. Phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all traits, indicating strong play of environment on trait expressions. 11 out of the 22 OPVs were stable for grain yield and micronutrients across environments for the three-year period and included GB 8735 and ICMV 221 Wbr and SOSAT-C88.


2021 ◽  
Author(s):  
C. Tara Satyavathi ◽  
Rukam S. Tomar ◽  
Supriya Ambawat ◽  
Jasminkumar Kheni ◽  
Shital M. Padhiyar ◽  
...  

Abstract Pearl millet is an important staple food crop of poor people which is rich in micronutrients like iron and zinc and amenable for focused breeding for these micronutrients along with high yield. Transcriptome sequencing using ION S5 Next Generation Sequencer generated 43.5 million sequence reads resulting in 83,721 transcripts with N50 of 597 bp and 84.35% of transcripts matched with the pearl millet genome assembly. The genotypes having high Fe and Zn showed differential gene expression during different stages. Of which, 155 were up-regulated and 251were down-regulated while during flowering stage and milking stage 349 and 378 transcripts were differentially expressed, respectively. Gene annotation and GO term showed the presence of transcripts involved in metabolic activities associated with uptake and transport of iron and zinc. In the present study, the 83,721 transcripts were also examined for identification of SSRs. A total of 4,327 SSRs were identified with dominance of tri-nucleotide SSRs in comparison to di-nucleotide SSRs. These EST-SSRs can be used in molecular breeding, genetic diversity analysis and determination of heterozygosity of the allelic loci. Information generated will help in gaining insights into iron and zinc metabolism and develop genotypes with high yield, grain iron and zinc content.


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