Genotype by environment interaction remains a substantial issue in all breeding programs. Crop genotypes are generally developed in a central breeding location, but always require the evaluation of breeding products in different environments. This is particularly relevant in countries that have a wide range of climates. Eighteen cassava genotypes were evaluated in Cameroon in eight environments—varying in seasonal rainfall and temperature patterns and soil characteristics—over two cropping seasons. Soil nutrient content was analyzed and trials were established in a randomized complete block design in three replications. Response of genotypes to major cassava pests and diseases, yield and carotenoids content was evaluated. It was observed that four genotypes did not show cassava mosaic disease (CMD) symptoms irrespective of the environments. The local check had highest CMD incidence and severity across all environments. Average number of whitefly per plant across all environments was highest on TMS 96/0023. Average cassava green mite (CGM) infestation was low on all the genotypes. Fresh root yield of five genotypes ranged between 25 and 30 tons per ha for both years. Significant and positive correlation was found across locations between fresh root yield and soil K, P and Mg. AMMI analysis revealed highly significant differences among genotypes and environments and significant genotype × environment interaction for most of the estimated traits, indicating variability in genotypes performance with environment.
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Akinbade S, Hanna R, Nguenkam A et al (2010) First report of the East African cassava mosaic virus-Uganda (EACMV-UG) infecting cassava (Manihot esculenta) in Cameroon. New Dis Rep 21:22
Akinwale MG, Akinyele BO, Odiyi AC, Dixon AGO (2011) Genotype × environment interaction and yield performance of 43 improved cassava (Manihot esculenta Crantz) genotypes at three agro-climatic zones in Nigeria. Br Biotechnol J 1:68–84
Benesi I, Labuschagne M, Dixon A, Mahungu N (2005) Genotype × enviroment interaction effects on native cassava starch quality and potential for starch use in the commercial sector. Afr Crop Sci J 12:205–216. https://doi.org/10.4314/acsj.v12i3.27880
Boateng SA, Boadi S (2010) Cassava yield response to sources and rates of potassium in the forest–savanna transition zone of Ghana. Afr J Root Tuber Crop 8:1–5
Bradbury G, Potts B, Beadle C (2011) Genetic and environmental variation in wood properties of Acacia melanoxylon. Ann For Sci 68:1363–1373
Byju G, Nedunchezhiyan M, Ravindran CS et al (2012) Modeling the response of cassava to fertilizers: a site-specific nutrient management approach for greater tuberous root yield. Commun Soil Sci Plant Anal 43:1149–1162. https://doi.org/10.1080/00103624.2012.662563
Cach NT, Lenis JI, Perez JC et al (2006) Inheritance of useful traits in cassava grown in subhumid conditions. Plant Breed 125:177–182. https://doi.org/10.1111/j.1439-0523.2006.01192.x
Callist Kundy A (2015) Effect of G × E interaction on yield and yield components of cassava genotype by environment interaction. LAP LAMBERT Academic Publishing, Saarbrücken
Chikoti PC, Shanahan P, Melis R (2009) Evaluation of cassava genotypes for resistance to cassava mosaic disease and agronomic traits. Am J Plant Sci 7:1122–1128. https://doi.org/10.4236/ajps.2016.77107
Coe R (2012) Multi-environment trials: an overview. Stat Serv Centre, Univ Read UK World Agrofor Centre, Kenya 1–13
Crossa J (1990) Statistical analyses of multilocation trials. Adv Agron 44:55–85. https://doi.org/10.1016/S0065-2113(08)60818-4
Dixon AG, Nukenine EN (1998) Genotype × environment interaction and optimum resource allocation for yield and yield components of cassava. Afr Crop Sci J 8:1–10
Dixon A, Ssemakula G (2008) Prospects for cassava breeding in Sub-Saharan Africa in the next decade. J Food Agric Environ 6(4):256–262
Easwari ACS, Sheela MN (1998) Genetic analysis in a diallel cross of inbred lines of cassava. Madras Agric J 85:264–268
Egesi CN, Onyeka TJ, Asiedu R (2009) Environmental stability of resistance to anthracnose and virus diseases of water yam (Dioscorea alata). Afr J Agric Res 4:113–118
Ekanayake IJ, Ortiz R, of Tropical Agriculture II (2000) Genotype × environment interaction analysis of IITA mandate crops in Sub-Saharan Africa. International Institute of Tropical Agriculture, Ibadan
Fu J, Jiang D, Huang Y et al (2014) Evaluating the marginal land resources suitable for developing bioenergy in Asia. Adv Meteorol 2014:1–9. https://doi.org/10.1155/2014/238945
IITA (1990) Cassava in tropical Africa: a reference manual. IITA, Ibadan
Jalata Z (2011) GGE-biplot analysis of multi-environment yield trials of barley (Hordeum vulgare L.) genotypes in southeastern Ethiopia Highlands. Int J Plant Breed Genet 5:59–75. https://doi.org/10.3923/ijpbg.2011.59.75
Kota S, Singh S, Mohapatra T et al (2013) Genotype × environment interaction analysis for grain yield in new plant type (npt) wheat derivatives. SABRAO J Breed Genet 45:382–390
Kulakow PA, Parkes EY, Friedrich SK et al (2015) Linearity, reproducibility and comparison of iCheckTM carotene with spectrophotometer and HPLC for evaluation of total carotenoids in cassava roots. Eur J Nutr Food Saf 136:57881. https://doi.org/10.13140/2.1.4534.4007
Manrique LA (1992) Growth and yield performance of cassava grown at three elevations in Hawaii. Commun Soil Sci Plant Anal 23:129–141. https://doi.org/10.1080/00103629209368576
Manrique K, Hermann M (1999) CIP program report effect of G × E interaction on root yield and beta- carotene content of selected sweetpotato (Ipomoea batatas (L) Lam.) varieties and breeding clones. CIP Program Report 281–287
Maroya NG, Kulakow P, Dixon A, Maziya-Dixon B (2012) Genotype × environment interaction of mosaic disease, root yields and total carotene concentration of yellow-fleshed cassava in Nigeria. Int J Agron 2012:1–8. https://doi.org/10.1155/2012/434675
Mkumbira J, Mahungu NM, Gullberg U (2003) Grouping locations for efficient cassava evaluation in Malawi. Exp Agric 39:167–179. https://doi.org/10.1017/S0014479702001199
Mtunguja MK, Laswai HS, Kanju E et al (2016) Effect of genotype and genotype by environment interaction on total cyanide content, fresh root, and starch yield in farmer-preferred cassava landraces in Tanzania. Food Sci Nutr 4:791–801. https://doi.org/10.1002/fsn3.345
Nassir AL, Ariyo OJ (2011) Genotype × environment interaction and yield-stability analyses of rice grown in tropical inland swamp. Not Bot Hort Agrobot Cluj 39:220–225
Ngeve JM (1994) Yield stability parameters for comparing cassava varieties. Acta Hortic. https://doi.org/10.17660/ActaHortic.1994.380.21
Njoroge MK, Kilalo DC, Miano DW et al (2016) Whiteflies species distribution and abundance on cassava crop in different agro-ecological zones of Kenya. J Entomol Zool Stud 258:258–262
Noerwijati K, Budiono R (2015) Yield and yield components evaluation of cassava (manihot esculenta crantz) clones in different altitudes. Energy Procedia 65:155–161. https://doi.org/10.1016/j.egypro.2015.01.050
Okao-Okuja G, Legg JP, Traore L, Alexandra Jorge M (2004) Viruses associated with cassava mosaic disease in Senegal and Guinea Conakry. J Phytopathol 152:69–76. https://doi.org/10.1046/j.1439-0434.2003.00797.x
Otoo JA, Dixon AGO, Asiedu R et al (1994) Genotype × environment interaction studies with cassava. Acta Hortic. https://doi.org/10.17660/ActaHortic.1994.380.22
Pacheco Á, Vargas M, Alvarado G et al (2015) GEA-R (Genotype × environment analysis with R for Windows) Version 3.0—CIMMYT Research Software Dataverse—CIMMYT Dataverse Network
Pariyo A, Baguma Y, Alicai T et al (2015) Stability of resistance to cassava brown streak disease in major agro-ecologies of Uganda. J Plant Breed Crop Sci 7:67–78. https://doi.org/10.5897/JPBCS2013.0490
SAS (2009) JMP® Version 8.0.2. SAS Institute, Cary, NC
Ssemakula G, Dixon A (2007) Genotype × environment interaction, stability and agronomic performance of carotenoid-rich cassava clones. Sci Res Essay 2:390–399
Tan SL, Mak C (1995) Genotype × environment influence on cassava performance. Field Crop Res. https://doi.org/10.1016/0378-4290(95)00016-J
Temegne NC, Ajebesone FN, Fotso KA (2015) Influence de la composition chimique du sol sur la teneur en éléments nutritifs et le rendement du manioc (Manihot esculenta Crantz, Euphorbiaceae) dans deux zones agro-écologiques du Cameroun. Int J Biol Chem Sci 9:2776–2788. https://doi.org/10.4314/ijbcs.v9i6.21
Teye E, Asare AP, Amoah RS, Tetteh JP (2011) Determination of the dry matter content of cassava (Manihot esculenta Crantz) tubers using specific gravity method. ARPN J Agric Biol Sci 6:23–28
Thresh JM, Cooter RJ (2005) Strategies for controlling cassava mosaic virus disease in Africa. Plant Pathol 54:587–614. https://doi.org/10.1111/j.1365-3059.2005.01282.x
van Mölken T, Stuefer JF (2011) The potential of plant viruses to promote genotypic diversity via genotype × environment interactions. Ann Bot 107:1391–1397. https://doi.org/10.1093/aob/mcr078
Yan W, Kang MS (2003) GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton. https://doi.org/10.1201/9781420040371
Yan W, Tinker NA (2006) Biplot analysis of multi-environment trial data: principles and applications. Can J Plant Sci 86:623–645. https://doi.org/10.4141/P05-169
Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000) Cultivar evaluation and mega-environment investigation based on the GGE Biplot. Crop Sci 40:597. https://doi.org/10.2135/cropsci2000.403597x
This work was supported by the Agricultural Investment and Market Development Project (AIMDP) jointly funded by the Cameroonian government and the World Bank, and CGIAR Research Program on Roots, Tubers and Bananas (RTB). The administrative and logistic support from IRAD Office is acknowledged.
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The authors declare that there is no conflict of interest.
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Fotso, A.K., Hanna, R., Kulakow, P. et al. AMMI analysis of cassava response to contrasting environments: case study of genotype by environment effect on pests and diseases, root yield, and carotenoids content in Cameroon. Euphytica 214, 155 (2018). https://doi.org/10.1007/s10681-018-2234-z
- Cassava mosaic disease
- G × E interaction
- Root yield
- Soil nutrient