Issue |
E3S Web Conf.
Volume 492, 2024
International Conference on Climate Nexus Perspectives: Toward Urgent, Innovative, Sustainable Natural and Technological Solutions for Water, Energy, Food and Environmental Systems (I2CNP 2023)
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Article Number | 03001 | |
Number of page(s) | 6 | |
Section | Food Systems “Sustainable Agri Food-Agriculture” | |
DOI | https://doi.org/10.1051/e3sconf/202449203001 | |
Published online | 20 February 2024 |
Towards Striga-resistant Gene pool in Nigerian Pearl millet landraces
1 Lake Chad Research Institute, Maiduguri, Nigeria
2 West Africa Centre for Crop Improvement, University of Ghana
3 International Crops Research Institute for the Semi-arid Tropics, Kano Nigeria
Parasitism of crop plants by Striga species is a major constraint in the savannah zones of West Africa. A germplasm collection comprised of 240 accessions of pearl millet was screened under natural Striga hermonthica infestation to identify sources of Striga resistance. Data were collected at different time points, specifically at 70, 90 and 140 days after planting for Striga count, Striga vigour and Striga severity. Number of panicles, panicle weight and Grain yield were also measured. The results revealed significant variation in the resistance of pearl millet genotypes to Striga. Fifteen genotypes identified as the most resistant were free of emerged Striga shoots, 10 genotypes supported 14 Striga shoots but with appreciable yield and 15 genotypes with 1-4 Striga shoots and low grain yield. Principal Component and cluster analyses grouped these genotypes into 3 main clusters medium yielding tolerant to Striga, low yielding susceptible to Striga and medium to high yielding resistant to Striga. The high level of resistance observed in some breeding lines enabled the selection of suitable parents for population development.
Key words: Pearl millet / Landrace / Resistance / Striga hermonthica
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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