Pennisetum glaucum subsp. monodii accessions with Striga resistance in West Africa

Wilson, J. L.; Hess, D. E.; Hanna, W. W.; Kumar, K. Anand; Gupta, S. C.

doi:10.1016/j.cropro.2004.01.006

Cited by 38 publications

(21 citation statements)

References 10 publications

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“…Many different selection measures have been developed for resistance. All of these measures are based on the number of aboveground Striga plants and vary from a single count at a specific moment in time (Adetimirin et al, 2000a;Omanya et al, 2004) or the maximum number of aboveground Striga plants (Wilson et al, 2000(Wilson et al, , 2004Rodenburg et al, 2005) to the area under the Striga number progress curve (ASNPC) (Adetimirin et al, 2000a;Haussmann et al, 2000;Wilson et al, 2000Wilson et al, , 2004Omanya et al, 2004;Rodenburg et al, 2005). Complete resistance, also referred to as immunity against Striga, has not yet been found.…”

Section: Introductionmentioning

confidence: 99%

Characterization of host tolerance to Striga hermonthica

2006

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SummaryOne of the most promising control options against the parasitic weed Striga hermonthica is the use of crop varieties that combine resistance with high levels of tolerance. The aim of this study was to clarify the relation between Striga infestation level, Striga infection level and relative yield loss of sorghum and to use this insight for exploring the options for a proper screening procedure for tolerance. In three pot experiments, conducted in Mali (2003) and The Netherlands (2003, 2004), four sorghum genotypes were exposed to a range of Striga infestation levels, ranging from 0.0625 to 16 seeds cm . Observations included regular Striga emergence counts and sorghum grain yield at maturity.There were significant genotype, infestation and genotype × infestation effects on sorghum yield. The relation between infestation level and infection level was density dependent. Furthermore, the relation between Striga infection level and relative yield loss was non-linear, though for the most resistant genotype Framida only the linear part of the relation was obtained, as even at high infestation levels only moderate infection levels were achieved. The results suggest that for resistant genotypes, tolerance can best be quantified as a reduced relative yield loss per aboveground Striga plant, whereas for less resistant genotypes the maximum relative yield loss can best be used. Whether both expressions of tolerance are interrelated could not be resolved. Complications of screening for tolerance under field conditions are discussed.Abbreviations: ASNPC, area under the Striga number progress curve; DW kernel , dry weight of kernel yield (g); NS max , maximum aboveground Striga numbers; RYL, relative yield loss (%); Y s , observed yield of an individual plant grown under Striga infestation (g); Y c , average kernel yield of all control plants of a specific genotype (g)

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Section: Introductionmentioning

confidence: 99%

Characterization of host tolerance to Striga hermonthica

2006

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“…It is grown on more than 26 million ha in arid and semi-arid regions of Asia and Africa, where it is often a basic staple among the poorest people but has received relatively little attention of researchers compared with its potential contribution to humanity and is still regarded as an 'orphan' crop. Pearl millet hybrids are largely generated from relatively narrow gene pools and current breeding programs do not make use of wild pearl millets except as donors of specific traits such as apomixis (Ozias-Akins et al 1998), or resistance to pests and diseases (Wilson et al 2004) and make only limited use of landrace germplasm. Genetic diversity studies in Pennisetum germplasm offer possibilities of identifying diverse germplasm for utilization in improving pearl millet open-pollinated varieties and hybrids.…”

Section: Introductionmentioning

confidence: 99%

Development of a molecular linkage map of pearl millet integrating DArT and SSR markers

et al. 2011

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Pearl millet is an important component of food security in the semi-arid tropics and is assuming greater importance in the context of changing climate and increasing demand for highly nutritious food and feed. Molecular tools have been developed and applied for pearl millet on a limited scale. However, the existing tool kit needs to be strengthened further for its routine use in applied breeding programs. Here, we report enrichment of the pearl millet molecular linkage map by exploiting low-cost and high-

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“…monodii accessions and incorporated into inbred lines to develop commercial pearl millet forage (Hanna et al, 1988) and grain (Hanna, 1993) hybrids. Wilson et al (2004) reported P. glaucum subsp. monodii to be a source of Striga (Striga hermonthica) resistance.…”

Section: Discussionmentioning

confidence: 99%

Diversity and gaps in Pennisetum glaucum subsp. monodii (Maire) Br. germplasm conserved at the ICRISAT genebank

et al. 2013

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The International Crops Research Institute for the Semi-Arid Tropics conserves 335 accessions of Pennisetum glaucum subsp. monodii originated in 13 countries. In the present study, the collection was evaluated and assessed for diversity and geographical gaps. A wide variation was observed in the collection for total tillers per plant (16 to 609), productive tillers per plant (12 to 368), leaf length (21.3 to 58.8 cm) and leaf width (8.1 to 33.1 mm), indicating high fodder yield potential of the collection. The accessions of cluster 3 flowered late, grew tall with thick stems and long and broad leaves, and differed significantly from those of cluster 1 and cluster 2. The accessions of cluster 2 were found to be promising for tillering. The highly significant positive correlation (r ¼ 0.944) between total and productive tillers per plant suggests that the selection for total tillers will result in selection for productive tillers. A total of 354 districts located in 86 provinces of eight countries in the primary centre of origin for pearl millet were identified as geographical gaps. The probability map generated using FloraMap in the present study matched quite closely to the origin of pearl millet, supporting the prediction of P. glaucum subsp. monodii occurrence in the primary centre of diversity for pearl millet. The high fodder yield potential of P. glaucum subsp. monodii germplasm and low intensity of collection in countries under study suggest the need for launching germplasm collection missions, exclusively for pearl millet wild relatives to fill taxonomic and geographical gaps in the collection.

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Pennisetum glaucum subsp. monodii accessions with Striga resistance in West Africa

Cited by 38 publications

References 10 publications

Characterization of host tolerance to Striga hermonthica

Characterization of host tolerance to Striga hermonthica

Development of a molecular linkage map of pearl millet integrating DArT and SSR markers

Diversity and gaps in Pennisetum glaucum subsp. monodii (Maire) Br. germplasm conserved at the ICRISAT genebank

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