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 ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Pearl Millet ◽  
Quantitative Trait ◽  
Pennisetum Glaucum ◽  
Zinc Content ◽  
High Iron ◽  
Trait Loci ◽  
Iron And Zinc

scholarly journals Mapping Grain Iron and Zinc Content Quantitative Trait Loci in an Iniadi-Derived Immortal Population of Pearl Millet

Genes ◽  
2018 ◽  
Vol 9 (5) ◽  
pp. 248 ◽  
Author(s):  
Sushil Kumar ◽  
Charles Hash ◽  
Thirunavukkarasu Nepolean ◽  
Mahesh Mahendrakar ◽  
Chellapilla Satyavathi ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Pearl Millet ◽  
Quantitative Trait ◽  
Zinc Content ◽  
Trait Loci ◽  
Iron And Zinc

scholarly journals Quantitative trait loci associated with constitutive traits control water use in pearl millet [Pennisetum glaucum(L.) R. Br.]

Plant Biology ◽  
2015 ◽  
Vol 17 (5) ◽  
pp. 1073-1084 ◽  
Author(s):  
K. Aparna ◽  
T. Nepolean ◽  
R. K. Srivastsava ◽  
J. Kholová ◽  
V. Rajaram ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Pearl Millet ◽  
Water Use ◽  
Quantitative Trait ◽  
Pennisetum Glaucum ◽  
Trait Loci ◽  
Control Water

scholarly journals MAPPING OF IRON AND ZINC QUANTITATIVE TRAIT LOCI IN SOYBEAN FOR ASSOCIATION TO IRON DEFICIENCY CHLOROSIS RESISTANCE

2013 ◽  
Vol 36 (14) ◽  
pp. 2132-2153 ◽  
Author(s):  
Keith E. King ◽  
Gregory A. Peiffer ◽  
Manju Reddy ◽  
Nick Lauter ◽  
Shun Fu Lin ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Iron Deficiency ◽  
Quantitative Trait ◽  
Iron Deficiency Chlorosis ◽  
Trait Loci ◽  
Iron And Zinc ◽  
Chlorosis Resistance

scholarly journals Mapping quantitative trait loci (QTLs) associated with resistance to major pathotype-isolates of pearl millet downy mildew pathogen

2019 ◽  
Vol 154 (4) ◽  
pp. 983-994 ◽  
Author(s):  
Durgaraju Chelpuri ◽  
Rajan Sharma ◽  
Kilaru Kanaka Durga ◽  
Pooja Katiyar ◽  
Mahesh D. Mahendrakar ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Downy Mildew ◽  
Pearl Millet ◽  
Quantitative Trait ◽  
Trait Loci

scholarly journals Integration of gene-based markers in a pearl millet genetic map for identification of candidate genes underlying drought tolerance quantitative trait loci

2012 ◽  
Vol 12 (1) ◽  
pp. 9 ◽  
Author(s):  
Deepmala Sehgal ◽  
Vengaldas Rajaram ◽  
Ian Peter Armstead ◽  
Vincent Vadez ◽  
Yash Pal Yadav ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Candidate Genes ◽  
Pearl Millet ◽  
Genetic Map ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Gene Based Markers

Evaluation of pearl millet [Pennisetum glaucum (L.) R. Br.] for grain iron and zinc content in different agro climatic zones of India

2017 ◽  
Vol 77 (1) ◽  
pp. 65 ◽  
Author(s):  
N. Anuradha ◽  
C. Tara Satyavathi ◽  
M. C. Meena ◽  
S. Mukesh Sankar ◽  
C. Bharadwaj ◽  
...  
Keyword(s):  
Pearl Millet ◽  
Pennisetum Glaucum ◽  
Zinc Content ◽  
Climatic Zones ◽  
Iron And Zinc

Potential of non-GMO biofortified pearl millet (Pennisetum glaucum) for increasing iron and zinc content and their estimated bioavailability during abrasive decortication

2012 ◽  
Vol 47 (8) ◽  
pp. 1660-1668 ◽  
Author(s):  
Fatoumata Hama ◽  
Christèle Icard-Vernière ◽  
Jean-Pierre Guyot ◽  
Isabelle Rochette ◽  
Bréhima Diawara ◽  
...  
Keyword(s):  
Pearl Millet ◽  
Pennisetum Glaucum ◽  
Zinc Content ◽  
Iron And Zinc

scholarly journals Genotype by Environment Interaction on Grain Yield Stability and Iron and Zinc Content in OPV of Pearl Millet in Ghana Using the AMMI Method

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Peter Anabire Asungre ◽  
Richard Akromah ◽  
Alexander Wireko Kena ◽  
Prakash Gangashetty
Keyword(s):  
Grain Yield ◽  
Pearl Millet ◽  
Coefficient Of Variation ◽  
Pennisetum Glaucum ◽  
Zinc Content ◽  
Genotype By Environment Interaction ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Fe Content ◽  
Iron And Zinc

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.

scholarly journals Stage Specific Comparative Transcriptomic Analysis To Reveal Gene Networks Regulating Iron And Zinc Content In Pearl Millet [Pennisetum glaucum (L.) R. Br.]

2021 ◽  
Author(s):  
C. Tara Satyavathi ◽  
Rukam S. Tomar ◽  
Supriya Ambawat ◽  
Jasminkumar Kheni ◽  
Shital M. Padhiyar ◽  
...  
Keyword(s):  
Pearl Millet ◽  
Gene Networks ◽  
Pennisetum Glaucum ◽  
Gene Annotation ◽  
Zinc Content ◽  
High Yield ◽  
Poor People ◽  
Zinc Metabolism ◽  
Iron And Zinc ◽  
Metabolic Activities

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.

Sign in / Sign up

Export Citation Format

Share Document