Evaluation of a Landrace Potato Kumdi Performance and Attributed Traits Across Three Different Agro-Ecological Zones in the Highlands of Papua New Guinea
Author(s)
Jonah Anton , Rodney Aku , Mauro Okrupa , Kud Sitango , Birte Komolong ,
Download Full PDF Pages: 17-28 | Views: 390 | Downloads: 135 | DOI: 10.5281/zenodo.6596735
Abstract
This study was conducted to assess attributed traits and economic performances of the landrace Kumdi potato cultivar in comparison to the existing commercial varieties at three different agro-environments in the highlands of Papua New Guinea. Several field trials were conducted over two cropping seasons using a complete randomized block design with five replicates. The landrace Kumdi and the two released varieties (E2 and E24) were found to be highly resistant (90 – 100%) to potato late blight (PLB) disease, whereas Sequoia is known to be highly susceptible and was successfully controlled with fungicide applications across all sites. The results indicated significant variation for the Genotypes, Environments and Genotype by Environment interactions. The marketable and total yield (t ha-1) for Sequoia was higher than the yields of the other three genotypes across all sites. Kumdi appeared to be the most stable cultivar across the three environments by using various stability analysis parameters. The fresh boiled and fried chips consumer preferences for Kumdi and Sequoia were highly prepared followed by E2 and E24, but the consumers’ preferences for all these varieties were above 50% like to compare to the moderately like and dislike preferences. Profit margins varied across locations with Kumdi having a greater profit margin for Yawar while E2 and E24 showed a greater profit margin for Pepik and Aiyura respectively while Sequoia had the highest production cost due to PLB management. Overall, Kumdi had acceptable traits of being resistant to PLB infestation, are most stable across all tested environments, and had acceptable profit margins with highly preferred sensory preferences. Based on these findings, the landrace Kumdi cultivar is strongly recommended for further research to verify these results using clean planting materials and possibly be included in the formal seed system
Keywords
Potato varieties, potato late blight, consumer preference and cost benefit analysis
References
i. Anton, J., Roberts, A., Sitango, K., Amben, S. and Ahizo, J. (2018). Management Practices for the Recovery for Irish Potato after Frost Incidence in the High Altitude of PNG. Unigor Ltd printing and publication, PNG.
ii. Anton, J., Sitango, K., & Roberts, A. (2020). Stem Height and Yield Response of Four Potato Varieties to Planting Density and Fertilizer in Tambul, Western Highlands Province, Papua New Guinea. International Journal of Horticultural Science, 6(1), 092-098.
iii. Baird, D., Murray, D., Payne, R., & Soutar, D. (2019). Introduction to Genstat for windows (20th Edition) VSN International LTD. VSN International LTD, 2 Amberside, Wood Lane, UK.
iv. Bonierbale, M. (2007). Procedures for standard evaluation trials of advanced potato clones. An international cooperator's guide. International Potato Center.
v. Bourke, R., Allen, M., & Salisbury, J. (2001). Food Security for Papua New Guinea: Proceedings of the Papua New Guinea Food and Nutrition 2000 Conference, PNG University of Technology, Lae, 26-30 June 2000 (Issue 99). ACIAR.
vi. Byarugaba, A. A., Benon, M., Tibanyedera, D., & Barekye, A. (2018). Genotype by environment interaction (GxE) as a measure of yield stability of Dutch potato varieties in Uganda. African Journal of Agricultural Research, 13(17), 890-896.
vii. FAO (2009). The State of Food and Agriculture 2009. Food and Agriculture Organization (FAO) of the United Nations, Rome, Italy. ISBN: 9789251062159.
viii. Forbes, G. (2012). Using host resistance to manage potato late blight with particular reference to developing countries. Potato Research, 55(3–4), 205–216.
ix. FPDA Annual Report (2013) Fresh Produce Development Agency, Goroka, Eastern Highlands Province, Papua New Guinea.
x. Funga, A., Tadesse M., Eshete M., Fikre, A., Korbu, L., Girma N., Bekele, D., Mohamed, R. and Bishaw, Z. (2017). Genotype by environment interaction on yield stability of desi type chickpea at major chickpea production areas of Ethiopia. Australia Journal of Crop Science, 11 (02) 212-219.
xi. Gauch, H., & Zobel, R. (1996). AMMI analysis in yield trials. KANG, MS, GAUCH, HG (Ed) Genotype by environment interaction.
xii. Kerru, B. A. and Akanda, S. (2011). Evaluation of CIP potato breeding lines for Late Blight resistance and yield at Tambul in the Highlands of Papua New Guinea. Niugini Agrisaiens. Volume 3, 30–36, 2011.
xiii. Kromannet, P., Miethbauer, T., Ortiz, O., & Forbes, G. A. (2014). Review of potato biotic constraints and experiences with integrated pest management interventions. In Integrated pest management (pp. 245–268). Springer.
xiv. Lisinska, G., Peksa, A., Kita, A., Rytel, E. and Czopek, (2009). The Quality of Potato for Processing and Consumption. Global Science Book, Poland.
xv. Lule, D., Tesfaye K. and Mengistu G. (2014). Genotype by environment interaction and grain yield stability analysis for advianced Triticale Genotypes in Western Oromia, Ethiopia. College of Natural Sciences, Addis Ababa University. 37 (1), 63-68.
xvi. Miheretu, F. (2014). Genotype and Environment Interaction and Marketable Tuber Yield Stability of Potato ( Solanumtuberosum L ) Genotypes Grown in Bale Highlands, Southeastern Ethiopia. Advance Crop Science and Technology. 2(1) 2329-8863.
xvii. Minemba, D. and Kerru, A. (2014). Management of Potato Late Blight Disease in Papua New Guinea. Final Project Report. Project no. CD/2003/029.
xviii. Ngeve, J. (1993). Regression analysis of genotype x environment interaction in sweet potato. Euphytica, 71(3), 231–238.
xix. Olivoto, T., & Lúcio, A. D. (2020). metan: An R package for multi‐environment trial analysis. Methods in Ecology and Evolution.
xx. Pevicharova, G. (2015). Correlation between Sensory Traits of Boiled Potato. Bulgarina Journal of Agriculture Science, 21 (No 4) 877-881. Agriculture Academy.
xxi. Rani, A., Singh, R., Kumar, P., and Shukla, G. (2017). PROS and CONS OF FUNGICIDES: AN OVERVIEW. International Journal of Engineering Science and Research Technology. 6(1), 2277-9655.
xxii. Sawanga, B. (1991). Field Pocket Book on Potato, Pocket Book No. 4. Department of Agriculture and Livestock, Port Moresby.
xxiii. Tjosvold, S. A. (2018). Disease Triangle: Fundamental Concept for Disease Management. UC ARN Blogs.
xxiv. Vera, B., Deros M., Kawale, G., Ramakrishna A., Anton, J., Sitango, K. and Guaf, E. (2018). Study of Genotype x Environment Interaction for Sweet Potato Tuber Yield and Related Traits in Papua New Guinea. International Journal of Crop Breeding. 5(1), 308-323.
xxv. Verma, R.P.S., Kharab, A. S., Singh, J., Kumar, V., Sharma, I. and Verma, A. (2016). AMMI model to analysis GxE for dual purpose barley in multi-environmental trials. Agriculture Research Communication Center. 36 (1) 9-16.
xxvi. Zadoks, J. C., & Schein, R. D. (1979). Epidemiology and plant disease management. Epidemiology and Plant Disease Management.
xxvii. Zali H., Farshadfar E., Sabaghpour S. H. and Karimizadeh R. 2012. Evaluation of genotype × environment interaction in chickpea using measures of stability from AMMI model. Ann. Biol. Res., 3: 3126-3136
Cite this Article: