| Title |
Robustness and Strategies of Adaptation among Farmer Varieties of African Rice (Oryza glaberrima) and Asian Rice (Oryza sativa) across West Africa
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0034801 |
| Pubmed ID | |
| Authors |
Alfred Mokuwa, Edwin Nuijten, Florent Okry, Béla Teeken, Harro Maat, Paul Richards, Paul C. Struik |
| Abstract |
This study offers evidence of the robustness of farmer rice varieties (Oryza glaberrima and O. sativa) in West Africa. Our experiments in five West African countries showed that farmer varieties were tolerant of sub-optimal conditions, but employed a range of strategies to cope with stress. Varieties belonging to the species Oryza glaberrima - solely the product of farmer agency - were the most successful in adapting to a range of adverse conditions. Some of the farmer selections from within the indica and japonica subspecies of O. sativa also performed well in a range of conditions, but other farmer selections from within these two subspecies were mainly limited to more specific niches. The results contradict the rather common belief that farmer varieties are only of local value. Farmer varieties should be considered by breeding programmes and used (alongside improved varieties) in dissemination projects for rural food security. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Germany | 1 | 13% |
| Côte d'Ivoire | 1 | 13% |
| United Kingdom | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Côte d'Ivoire | 1 | 1% |
| Tanzania, United Republic of | 1 | 1% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| India | 1 | 1% |
| Benin | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 31% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 41% |
| Social Sciences | 9 | 13% |
| Environmental Science | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 19 | 27% |