Mapping and characterisation of QTL × E interactions for traits determining grain and stover yield in pearl millet

Yadav, Rattan; Bidinger, F. R.; Hash, C. T.; Yadav, Y.P.; Yadav, O. P.; Bhatnagar, S. K.; Howarth, Catherine

doi:10.1007/s00122-002-1081-3

Cited by 76 publications

(61 citation statements)

References 19 publications

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“…This, in turn, requires an appropriate mapping population. In pearl millet, several F 2:3 and F 2:4 mapping populations have been developed from diverse inbred lines of Asian, American, and African origin [7] and genomic positions of QTLs were mapped for disease resistance [8][9][10][11][12][13][14], abiotic stress tolerance [6,10,[15][16][17][18], phenology [19,20], grain and stover yield, and quality components [16,18,[20][21][22][23]. However, panicle and grain size, though being major determinants of grain yield in pearl millet, have been sparingly subjected to QTL analysis.…”

Section: Introductionmentioning

confidence: 99%

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Construction of Genetic Linkage Map and QTL Analysis of Sink-Size Traits in Pearl Millet (Pennisetum glaucum)

Vengadessan¹,

Rai

Bapu

et al. 2013

ISRN Genetics

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A linkage map, primarily based on SSCP-SNP markers, was constructed using 188 F 2:3 mapping population progenies produced from a cross between two pearl millet inbred lines having diverse parentage. The skeleton linkage map covered 1019 cM and it comprised of 44 markers distributed across the seven linkage groups. Average adjacent-marker intervals ranged from 14 cM on LG1 to 38 cM on LG6, with an overall mean of 23 cM. Using the F 2 linkage map and phenotypic data from the F 2 and F 2:3 generations of the mapping population, a total of 18 putative QTLs were detected for the three sink-size components. Eight QTLs explained 42.7% of observed phenotypic variation for panicle length using the F 2:3 data set. For panicle diameter, 5 QTLs explained 45.8% of observed phenotypic variation. Similarly for grain size, 5 QTLs explained 29.6% of phenotypic variation. Genomic regions associated with panicle length, panicle diameter, and grain size were comapped on LG6 between Xpsms88 and Xpsms2270, indicating the existence of a gene or gene cluster. The QTLs for panicle length on LG2 and LG6 (LOD > 3 in both F 2 and F 2:3 data sets), for panicle diameter on LG2 and LG3 (LOD > 14 in the F 2:3 data set), and for grain size on LG3 and LG6 (LOD > 3 in both F 2 and F 2:3 data sets) were identified as promising candidates for validation prior to possible application in marker-assisted breeding.

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Section: Introductionmentioning

confidence: 99%

“…These include RFLPs [6,8,9,11,12,[16][17][18][19][20][30][31][32][33][34] and SSRs [14,[33][34][35]. SSRs present in ESTs are referred to as EST-SSRs, and are abundant in such EST sequences.…”

Section: Introductionmentioning

confidence: 99%

Construction of Genetic Linkage Map and QTL Analysis of Sink-Size Traits in Pearl Millet (Pennisetum glaucum)

Vengadessan¹,

Rai

Bapu

et al. 2013

ISRN Genetics

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“…The up-regulated genes include metallothionein, farnesylated protein ATFP6, Farnesyl pyrophosphate synthase and protein phosphatase 2A. Traits associated with drought tolerance were investigated using a genome scan and association mapping methods [77,78]. A single gene known as β-carbonic anhydrase (PgCA) was consistently up-regulated in pearl millet exposed to multiple abiotic stresses including drought, salinity and heat [79].…”

Section: Genes Involved In Drought Tolerancementioning

confidence: 99%

Drought Adaptation in Millets

Tadele¹

2016

Abiotic and Biotic Stress in Plants - Recent Advances and Future Perspectives

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Millets are major food and feed sources in the developing world especially in the semiarid tropical regions of Africa and Asia. The most widely cultivated millets are pearl mil- . Millets are resilient to extreme environmental conditions especially to inadequate moisture and are rich in nutrients. Millets are also considered to be a healthy food, mainly due to the lack of gluten (a substance that causes coeliac disease) in their grain. Despite these agronomic, nutritional and health-related benefits, millets produce very low yield compared to major cereals such as wheat and rice. This extremely low productivity is related to the challenging environment in which they are extensively cultivated and to the little research investment in these crops. Recently, several national and international initiatives have begun to support the improvement of diverse millet types.

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“…It has substantial stock of genetic and genomic resources with various DNA-based molecular markers including RFLP (Liu et al, 1994); sequence-tagged sites (STS; Devos et al, 1995); AFLP (Allouis et al, 2001); SSRs (Qi et al, 2004); diversity arrays technology (DArTs; Supriya et al, 2011); SNPs and conserved intron spanning primer (CISP) markers (Sehgal et al, 2012); mapping populations, and DNA-marker based linkage maps Sehgal et al, 2012). The genetic maps so developed have been demonstrated to be valuable not only for detection and breeding of promising QTLs for various traits (Jones et al, 1995;Morgan et al, 1998;Jones et al, 2002;Nepolean et al, 2006;Gulia et al, 2007;Bidinger et al, 2007) 402 Charu Lata including terminal drought tolerance (Yadav et al, 2002;Yadav et al, 2004), components of drought adaptation (Kholová et al, 2012) and grain and stover yield (Yadav et al, 2003) but also for better understanding of complex relationships between pearl millet and other cereal crops (Devos et al, 2000).…”

Section: Pearl Milletmentioning

confidence: 99%

Advances in Omics for Enhancing Abiotic Stress Tolerance in Millets

Lata¹

2015

Proceedings of the Indian National Science Academy

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Millets are small-seeded annual cereal crops which are mostly grown in marginal soils of arid and semi-arid regions, and consequently have to face several abiotic constraints that lead to reduction in the yield. Advanced biotechnological applications, particularly 'omics' approaches could serve as the most immediate and prospective strategies for improving abiotic stress tolerance in millet crops. Omics approaches lead to understand the mechanism of stress response and tolerance at molecular level through insights into gene, protein or metabolite profile and their phenotypic effects. Among millet crops, foxtail millet has been more intensively studied and characterized under abiotic stress conditions owing to its small genome size and diploidy. Genome-wide investigation and expression profiling studies have been extensively carried out in foxtail millet. However proteomic and metabolomic studies in response to abiotic stress in millets are still very limited. Some of the major quantitative trait loci (QTLs) controlling abiotic stress tolerance in millets have also been identified and mapped as for instance a major QTL for terminal drought tolerance in pearl millet and a major QTL for dehydration tolerance in foxtail millet. Gene manipulation for enhanced abiotic stress tolerance involving regulatory genes have proved to be more useful than using single or multiple stress responsive genes. Consequently, the recent advances in 'omics' technologies and accessibility to the genome sequences extend huge potential to enhance stress tolerance of millets. This review thus attempts to summarize various omics strategies and their applications in abiotic stress research in important millet crops namely foxtail millet, pearl millet and finger millet.

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Mapping and characterisation of QTL × E interactions for traits determining grain and stover yield in pearl millet

Cited by 76 publications

References 19 publications

Construction of Genetic Linkage Map and QTL Analysis of Sink-Size Traits in Pearl Millet (Pennisetum glaucum)

Construction of Genetic Linkage Map and QTL Analysis of Sink-Size Traits in Pearl Millet (Pennisetum glaucum)

Drought Adaptation in Millets

Advances in Omics for Enhancing Abiotic Stress Tolerance in Millets

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