Evaluating Human Resource Capacity for Crop Breeding in National Programs in Africa and South and Southeast Asia

Abstract

Plant breeders must keep abreast of the rapid evolution of new technologies, and also implement information management strategies that efficaciously handle the ever growing amount of data required for efficient integrated breeding. Updated training for breeders is critical to build relevant human resource capacity, particularly in developing countries whose breeding programs suffer a lack of staff with diverse expertise. The CGIAR Generation Challenge Programme is leading such a capacity-building initiative. A survey was conducted among course nominees to establish a baseline of breeder level of education, knowledge and skills in analyzing data and their involvement in molecular breeding programs. The breeders were mainly from three regions: West and Central Africa, East and Southern Africa, and South and Southeast Asia, and also included a few participants from North Africa. Many of the breeders from all the regions held or were working towards a PhD. Gender balance was low, principally in West and Central Africa, where less than 15% of the breeders were women. Between 57% and 73% of the breeders surveyed in the different regions were involved in molecular breeding projects at regional or international level. The Use of multiple software tools by individual breeders for data analysis was low for breeders from all the regions, with most using 1 - 3 packages. A lack of high data-analysis capacity will be a problem in an era where integration of genomics and phenotypic data in breeding programs is essential to efficiently deliver improved cultivars.

Share and Cite:

Diop, N. , Okono, F. & Ribaut, J. (2013). Evaluating Human Resource Capacity for Crop Breeding in National Programs in Africa and South and Southeast Asia. Creative Education, 4, 72-81. doi: 10.4236/ce.2013.410A011.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17, 369-386.
http://dx.doi.org/10.1080/09540250500145072
[2] Bliss, F. A. (2007). Education and preparation of plant breeders for careers in global crop improvement. Crop Sci, 47, S-250-S-261.
http://dx.doi.org/10.2135/cropsci2007.04.0017IPBS
[3] Delannay, X., McLaren, G., & Ribaut, J.-M. (2012). Fostering molecu lar breeding in developing countries. Molecular Breeding, 29, 857 873. http://dx.doi.org/10.1007/s11032-011-9611-9
[4] Gautami, B., Foncéka, D., Pandey, M. K., Moretzsohn, M. C., Sujay, V., Qin, H. et al. (2012). An international reference consensus genetic map with 897 marker loci based on 11 mapping populations for tetraploid groundnut (Arachis hypogaea L.). PloS One, 7, e41213.
http://dx.doi.org/10.1371/journal.pone.0041213
[5] Gepts, P., & Hancock, J. (2006). The future of plant breeding. Crop Sci, 46, 1630-1634.
http://dx.doi.org/10.2135/cropsci2005-12-0497op
[6] Guimaraes, E. P., Kueneman, E., & Paganini, M. (2007). Assessment of the national plant breeding and associated biotechnology capacity around the world. Crop Science, 47, S-262-S-273.
http://dx.doi.org/10.2135/cropsci2007.04.0007IPBS
[7] Guimaraes, E., Kueneman, E., & Carena, M. (2006). Assessment of national plant breeding and biotechnology capacity in Africa and recommendations for future capacity building. HortScience, 41, 50.
[8] Miller, J. K., Repinski, S. L., Hayes, K. N., Bliss, F. A., & Trexler, C. J. (2011). Designing graduate-level plant breeding curriculum: A delphi study of private sector stakeholder opinions. Jnrlse, 40, 82-90.
[9] Moose, S. P., & Mumm, R. H. (2008). Molecular plant breeding as the foundation for 21st century crop improvement. Plant Physiology, 147, 969-977. http://dx.doi.org/10.1104/pp.108.118232
[10] Morris, M., Edmeades, G., & Pehu, E. (2006). The global need for plant breeding capacity: What roles for the public and private sectors? HortScience, 41, 30.
[11] Raju, N., Gnanesh, B., Lekha, P., Jayashree, B., Pande, S., Hiremath, P. et al. (2010). The first set of EST resource for gene discovery and marker development in pigeonpea (Cajanus cajan L.). BMC Plant Biology, 10, 45. http://dx.doi.org/10.1186/1471-2229-10-45
[12] Repinski, S. L., Hayes, K. N., Miller, J. K., Trexler, C. J., & Bliss, F. A. (2011). Plant breeding graduate education: Opinions about critical knowledge, experience, and skill requirements from public and private stakeholders worldwide. Crop Science, 51, 2325-2336.
http://dx.doi.org/10.2135/cropsci2011.03.0137
[13] Ribaut, J. M., de Vicente, M. C., & Delannay, X. (2010). Molecular breeding in developing countries: challenges and perspectives. Cur rent Opinion in Plant Biology, 13, 213-218.
http://dx.doi.org/10.1016/j.pbi.2009.12.011
[14] Ribaut, J.-M., Delannay, X., McLaren, G., & Okono, F. (2013). Molecular breeding molecular breeding (MB) platforms molecular breeding (MB) platforms (MBP) in world agriculture. In P. Christou, R. Savin, B. Costa-Pierce, I. Misztal, & C. B. Whitelaw, Eds., Sus tainable food production (pp. 1201-1228). New York: Springer.
http://dx.doi.org/10.1007/978-1-4614-5797-8_237
[15] Ribaut, J.-M., Monneveux, P., Glaszman, J.-C., Leung, H., Hintum, T., & Vicente, C. (2008). International programs and the use of modern biotechnologies for crop improvement. In P. Moore, & R. Ming, Eds., Genomics of tropical crop plants (pp. 21-61). New York: Springer.
http://dx.doi.org/10.1007/978-0-387-71219-2_2
[16] Sun, X., Peng, T., & Mumm, R. (2011). The role and basics of com puter simulation in support of critical decisions in plant breeding. Molecular Breeding, 28, 421-436.
http://dx.doi.org/10.1007/s11032-011-9630-6
[17] Thorisson, G. A., Muilu, J., & Brookes, A. J. (2009). Genotype-pheno type databases: Challenges and solutions for the post-genomic era. Nature Reviews Genetics, 10, 9-18.
http://dx.doi.org/10.1038/nrg2483
[18] Varshney, R. K., Glaszmann, J.-C., Leung, H., & Ribaut, J.-M. (2010). More genomic resources for less-studied crops. Trends in Biotech nology, 28, 452-460.
http://dx.doi.org/10.1016/j.tibtech.2010.06.007
[19] Varshney, R. K., Ribaut, J.-M., Buckler, E. S., Tuberosa, R., Rafalski, J. A., & Langridge, P. (2012). Can genomics boost productivity of or phan crops? Nature biotechnology, 30, 1172-1176.
http://dx.doi.org/10.1038/nbt.2440

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.