Abstract
Despite the ability of sweetpotato to grow in marginal areas, large differential genotypic responses have been reported under varying environmental conditions. Differences in pest and disease pressure contribute significantly to inconsistencies in performance of genotypes in various environments. Using a randomized complete block design, eight sweetpotato genotypes were evaluated in one location successively for five years (seasons) (2010-2015). Additive main effects and multiplicative interaction (AMMI) stability value (ASV) was used to identify best genotypes that combine stability with high resistance to sweetpotato weevil Cylas puncticolis and root yield across the five seasons (years). Stability of genotypes for weevil infestation and damage thereof, and fresh storage root yield were determined for each season. The data on each of these parameters were correlated with rainfall and temperature data for each and across five seasons. Results show variability in the ranking of genotypes’ stability for resistance to weevil infestation and associated damage. Significant negative correlation was recorded between total rainfall and sweetpotato weevil damage. However, AMMI analysis of variance indicates genotype main effects, environmental main effects and the interaction thereof were all significant for root yield and weevil damage. Genotype selection index assisted to identify at least three genotypes namely Kokota, Lunga, and Kalungwishi which combined stability for high root yield and tolerance to weevil damage.
References
Aina O.O., Dixon A.G.O., Akinrinde E.A., Additive main effects and multiplicative interaction (AMMI) analysis for yield of cassava in Nigeria. Journal of Biological Sciences, 2007, 7, 796-80010.3923/jbs.2007.796.800Search in Google Scholar
Alghamdi S.S., Yield stability of some soybean genotypes across diverse environment. Pakistan Journal Biological Sciences, 2004, 7(12), 2109-211410.3923/pjbs.2004.2109.2114Search in Google Scholar
Benesi I.R.M., Labuschagne M.T., Dixon A.G.O., Mahungu N.M., Genotype x environment interaction effects on native cassava starch quality and potential for starch use in the commercial sector. African Crop Science Journal, 2004, 12, 205-21610.4314/acsj.v12i3.27880Search in Google Scholar
Bokanga M., Ekanayake I.J., Dixon A.G.O., Porto M.C.M., Genotype- environment interactions for cyanogenic potential in cassava. Acta Horticulturae,1994, 375,131-13910.17660/ActaHortic.1994.375.11Search in Google Scholar
Comstock R.E., Moll R.H., Genotype-environment interactions. In W.D. Hanson and H.F. Robinson (ed.) Statistical genetics and plant breeding. National Academy of Sciences-National Research Council Publ. 982. NAS-NRC, Washington, DC., 1963, 164-196Search in Google Scholar
Crossa J., Statistical analysis of multiplication trails. Advances in Agronomy, 1990, 4, 55-8310.1016/S0065-2113(08)60818-4Search in Google Scholar
Crossa J., Cornelius P.L., Yan W., Biplots of linear-bilinear models for studying crossover genotype x environment interaction. Crop Science, 2002, 42, 619-63310.2135/cropsci2002.6190Search in Google Scholar
Dia M., Wehner T.C., Hassell R., Price D.S., Boyhan G.E., Olson S., King S., Davis A.R., Tolla G.E., Genotype x environment interaction and stability analysis for watermelon fruit yield in the United States. Crop Science, 2016a, 56, 1645-1661, doi: 10.2135/cropsci2015.10.062510.2135/cropsci2015.10.0625Search in Google Scholar
Dia M., Wehner T.C., Arellano C., Analysis of genotype x environment interaction (GxE) using SAS programming. Agronomy Journal, 2016b, 108 (5), 1-15, doi: 10.2134/agronj2016.02.008510.2134/agronj2016.02.0085Search in Google Scholar
Dixon A.G.O., Ngeve J.M., Nukenine E.N., Genotype x environment effects on severity of cassava bacterial blight disease caused by Xanthomonasaxonopodis. Pv. Manihotis. European Journal of Plant Pathology, 2002, 108, 763-77010.1023/A:1020876019227Search in Google Scholar
Dixon A.G.O., Nukenine E.N., Genotype x environment interaction and optimum resource allocation for yield and yield components of cassava. African Crop Science Journal, 2000, 8, 1-1010.4314/acsj.v8i1.27711Search in Google Scholar
El-Sharkawy M.A., Drought-tolerant cassava for Africa, Asia and Latin America. Bioscience, 1993, 43, 441-45110.2307/1311903Search in Google Scholar
El-Sharkawy M.A., Cassava biology and physiology. Plant Molecular Biology, 2003, 53, 621-64110.1023/B:PLAN.0000019109.01740.c6Search in Google Scholar
El-Sharkawy M.A., Hernandez A.D.P., and Hershey C., Yield stability of cassava during prolonged mid-season water stress. Experimental Agriculture, 1992, 28, 165-17410.1017/S0014479700019608Search in Google Scholar
Eberhart S.A., Russell W.A., Stability parameters for comparing varieties. Crop Science, 1966, 6, 36-4010.2135/cropsci1966.0011183X000600010011xSearch in Google Scholar
Fikere M., Fikiru E., Tadesse T., Legesse T., Parametric stability analysis in field peas (Pisum sativum L.) under South Eastern Ethiopian condition. World Journal of Agricultural Sciences, 2009, 5, 146-151Search in Google Scholar
Farshadfar E., Incorporation of AMMI stability value and grain yield in a single non-parametric index (GSI) in bread wheat. Pakistan Journal of Biological Sciences, 2008, 11, 1791-179610.3923/pjbs.2008.1791.1796Search in Google Scholar PubMed
Farshadfar E., Mahamodi N., Yaghotipoor A., AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticumaestivum L.). Australian Journal of Crop Science, 2012, 5, 1837-1844Search in Google Scholar
Francis T.R., Kannenberg L.W., Yield stability in short-season maize. I. A descriptive method for grouping genotypes. Canadian Journal of Plant Science, 1978, 58, 1029-03410.4141/cjps78-157Search in Google Scholar
Gauch H.G., Statistical analysis of yield trials by AMMI and GGE. Crop Science , 2006, 46, 1488-150010.2135/cropsci2005.07-0193Search in Google Scholar
Gauch H.G., Zobel R.N., AMMI analysis of yield trials, In M.S.Kang and H.G. Gauch (eds) genotype by environment interaction. CPC Press, USA.P., 1996, 85-12210.1201/9781420049374.ch4Search in Google Scholar
Gauch H.G., Zobel R.W., Identifying mega-environments and targeting genotypes. Crop Science, 1997, 37, 311-32610.2135/cropsci1997.0011183X003700020002xSearch in Google Scholar
Hartley H.O., The maximum F-ratio as a short-cut test for heterogeneity of variance. Biometrika, 1950, 37, 308-31210.1093/biomet/37.3-4.308Search in Google Scholar
Kumar R., Dia M., Wehner T.C., Implications of mating behavior in watermelon breeding. Hort. Science, 2013, 48(8), 960-96410.21273/HORTSCI.48.8.960Search in Google Scholar
Lin C.S., Binns M.R., A superiority measure of cultivar performance for cultivar x location data. Canadian Journal of Plant Science, 1988, 68, 193-19810.4141/cjps88-018Search in Google Scholar
Mkumbira J., Mahungu N.M., Gullberg U., Grouping locations for efficient cassava evaluation in Malawi. Experimental Agriculture, 2003, 39, 167-17910.1017/S0014479702001199Search in Google Scholar
Ngeve J.M., Yield stability parameters for comparing cassava varieties, In F. Ofori and S.K. Hahn (eds).Tropical root crops in developing economy, Accra, Ghana. P., 1994, 138-14510.17660/ActaHortic.1994.380.21Search in Google Scholar
Payne R.W., Murray D.A., Harding S.A., Baird D.B., Soutar D.M., An introduction to Genstat for windows (14th edition). VSN international, Hemel Hempstead, UK, 2011Search in Google Scholar
Perkins J.M., Jinks J.D., Environmental and genotype-environmental components of variability. III. Multiple lines and crosses. Heredity, 1968, 23, 339-35610.1038/hdy.1968.48Search in Google Scholar PubMed
Purchase J.L., Hatting H., Van Deventer S.C., Genotype x environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South African Journal of Plant and Soil, 2000, 17, 101-10710.1080/02571862.2000.10634878Search in Google Scholar
Shukla G.K., Some statistical aspects of partitioning genotypeenvironmental components of variability. Heredity, 1972, 29, 237-24510.1038/hdy.1972.87Search in Google Scholar PubMed
Singh D, Guaf J., Okpul T., Wiles G., Hunter D., Taro (Colocasia esculenta) variety release recommendations for Papua New Guinea based on multi-location trials. New Zealand Journal of Crop and Horticultural Science, 2006, 34, 163-17110.1080/01140671.2006.9514402Search in Google Scholar
Singh R.P., Huerta-Espino J., Sharma R., Joshi A.K., Trethowan R., High yielding spring bread wheat germ plasm for global irrigated and rainfed production systems. Euphytica , 2007, 157, 351-36310.1007/s10681-006-9346-6Search in Google Scholar
Ssemakula G., Dixon A.G.O., Genotype x environment interaction, stability and agronomic performance of carotenoid-rich cassava clones. Scientific Research and Essay, 2007, 2, 390-399Search in Google Scholar
Wricke G., ÜbereineMethodezürErfassung der Okologischen- Streubreite in Feldresuchen. Z. Pflanzenzuchtg, 1962, 47, 92-96Search in Google Scholar
Zhang Y., He Z., Zhang A., Van Ginkel M., Ye G., Pattern analysis on grain yield of Chinese and CIMMYT spring wheat cultivars grown in China and CIMMYT. Euphytica, 2006, 147, 409-42010.1007/s10681-005-9038-7Search in Google Scholar
© 2017
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.