Genotype x Environment Interactions in Sugarcane under Irrigation for Agronomic Traits at Advanced Screening Stage in Ferké, Northern Ivory Coast

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Crépin B. Péné
Yavo Michael Béhou


Background: The selection procedure of commercial sugarcane varieties introduced in Ivory Coast involves two different stages. Four varieties pre-selected at the first stage regarding a previous trial were due to be tested at the advanced stage.

Aims: The study aimed to determine the best performing sugarcane genotypes at the advanced selection stage under sprinkler irrigation, in comparison with to two check varieties (R579, SP70-1006).

Methodology: The same field experiment was carried out on two different locations in Ferké 2 sugar estate of Northern Ivory Coast. The experimental design used was a randomized complete block (RCB) with six cane genotypes in four replications. Every plot consisted of five dual rows of ten meters with 0.5 and 1.90 m of inter-row spacing, i.e. 95 m² per plot and about 3000 m² for each experiment. Both experiments were conducted over two seasons (plant cane and first ratoon) as early-season crops from early November, 2017 to mid-December, 2019. Over each micro-plot, data based on different agro-morphological traits were collected at harvest from three central dual rows.

Results: The study showed that most relevant traits in genotype clustering were related to juice quality (recoverable sucrose, sucrose content, purity), yields and yield components (Millable stalk number/ha, stalk height, stalk diameter, internode number). Based on sugar yields, two genotypes (N47, ECU01) superior to both check varieties were found promising with, respectively, 13.7 and 13.5 t sugar/ha. Their cane yield performances gave 124 and 123 t/ha, respectively, compared to 126.8 t/ha for the best performing check.

Conclusions: Not only sugar yield, but also flowering rate, stem borer infestation rate, stalk diameter, average stalk height and the number of tillers per hectare were found as the most relevant agronomic traits in the genetic variation of sugarcane genotypes tested. It came out also that GxE interactions were highly significant for five different traits, namely, cane and sugar yields, stalk borer infestation rate, fiber content and the average stalk height.

Juice quality, yield performance, phenotypic correlation, genotypic correlation, genetic variation, heritability, genetic advance

Article Details

How to Cite
Péné, C. B., & Béhou, Y. M. (2020). Genotype x Environment Interactions in Sugarcane under Irrigation for Agronomic Traits at Advanced Screening Stage in Ferké, Northern Ivory Coast. Journal of Experimental Agriculture International, 42(2), 97-115.
Original Research Article


FAO. FAO STAT, FAO statistical databases; 2014.
(Accessed on June 07, 2016)

Jackson PA. Breeding for improved sugar content in sugarcane. Field Crops Res. 2005;92(2-3):277-90.

Béhou YYM, Péné CB. Genetic variability and heritability among sugarcane genotypes in plant crop for some agronomic traits under tropical dry climate of Ferké, Ivory Coast. J. Exp. Agric. Int. 2019;38(1):1-14.

Péné CB, Kouamé KD, Dove H, Boua BM. Incidence des infestations du foreur de tiges Eldana saccharina W. (Lepidoptera: Pyralidae) en culture irriguée de canne à sucre selon la variété et la période de récolte en Côte d’Ivoire. J. Appl. Biosci. 2016;102:9687-9698.

Tyagi SD, Singh DN. Studies on genetic variability for stalk characters in sugarcane. Indian Sugar. 1998;XL(8):259-62.

Chaudhary RR. Genetic variability and heritability in sugarcane. Nepal Agric Res. 2001;4&5:56-8.

Mohammadi R, Haghparast R, Aghaee M, Rostaee M, Pourdad SS. Biplot analysis of multi-environment trials for identification of winter wheat mega-environments in Iran. Word J. Agric. Sci. 2007;3:475-80.

Tena E, et al. GxE interaction by AMMI and GGE-biplot analysis for sugar yield in three crop cycles of sugarcane (Saccharum officinarum) clones in Ethiopia. Cogent Food & Agric. 2019;5:1-14(1651925).

Jamoza JE, et al. Estimates of genetic parameters and GxE interaction for sugar yield and its components in sugarcane genotypes of western Kenya. J. Plant Breed. Crop Sci. 2019;11(9):206-212.

Kimbeng CA, Zhou MM, Da Silva JA. GXE interactions and resource allocation in sugarcane yield trials in the Rio Grande valley region of Texas. In: Proc. S. Afr. Sug Technol. Ass. 2009;29:11-24.

Khan IA, Seema N, Raza S, Yasmine S. Environmental interaction of sugarcane genotypes and yield stability analysis. Pakistan J. Bot. 2013;45:1617-1622.

Mebrahtom F. GxE interaction, in viro screening for salinity and drought tolerance in sugarcane (Saccharum officinarum L.). PhD Dissertation in Plant Breeding. School of Sciences, Haramaya Univ., Ethiopia; 2017.

Kang MS. Preface. In: Kang MS (ed.). Crop improvement: challenges in the twenty first century. Food products. Press, Binghamton, New York; 2002.

Tahir M, Khalil HI, Mc Cord PH, Barry G, Sugarcane genotype performance in three environments (based on crop cycle) at Mardan, Pakistan. Am. J. Exp. Agric. 2014;4:362-75.

Ramburan S. A multivariate illustration and interpretation of non-repeatable GxE interactions in sugarcane. S. Afr. Sugar Res. Inst. Field Crops Res. 2014;157:57-64.

Queme JL, Orozco H, Melgar M. CGE bi-plot analysis used to evaluate cane yield of sugarcane (Saccharum spp.) cultivars across sites and crop cycles. Proc. Int. Soc. Sugar Cane Technol. 2010;27:1-7.

Bakhsh A, Arshad M, Haqqan AM. Effect of GxE interaction on relationship between grain yield and its components in chickpea (Cicer arietinum L). Pakistan J. Bot. 2006; 38:683-90.

Da Silva FF, Pereira MG, Ramos HCC, Damasceno Jr, Pereira NS, Ide CD. Genotypic correlations of morpho-agronomic traits in papayas and implications for genetic breeding. Crop Breed. Appl. Biotech. 2007;7:345-52.

Tena E, Ayana A, Mekbib F. Heritability and correlation among sugarcane (Saccharum spp.) yields and some agronomic and sugar quality traits in Ethiopia. Am. J. Pant Sci. 2016;7(10): 1453-77.

Tyagi SD, Khan MH. Studies on genetic variability and interrelationships among different traits in Microsperma Lentil (Lens culinaris Medik). J. Agric Biotech Sust. Dev. 2010;2:15-20.

Jackson P. Genetic relationships between attributes in sugarcane clones closely related to Saccharum spontaneum. Euphytica. 1994;79:101-8.

Péné CB, Béhou YM. Screening of fifteen sugarcane genotypes under irrigation based on genetic variations and heritability for agro-morphological traits at early selection stage in Ferké, Ivory Coast. Am. J. Biom. Sci. Res. 2019a;4(5):362- 71.

De Sousa-Vierra O, Milligan SB. Interrelationships of cane yield components and their utility in sugarcane family selection: Path coefficient analysis. Intersciencia. 2005;30:93-9.

Milligan SB, Gravois KA, Bischoff KP, Martin FA. Crop effects on broad-sense heritability and genetic variances of sugarcane yield components. Crop Sci. 1990;30:344-49.

Gravois KA, Milligan SB, Martin FA. Additive genetic effects for sugarcane yield components and implications for hybridization. Trop. Agric. (Trinidad). 1991;68:376-80.

Péné CB, Béhou YM. Evaluation of sugarcane genotypes under irrigation based on genetic variations and heritability for agronomic traits at early selection stage in Ferké, Ivory Coast. Am. J. Biosci. Bioeng. 2019b;7(6):82-92.

Tyagi AP, Lal P. Correlation and path coefficient analysis in sugarcane. South Pacific J. Nat. Sci. 2007;25:1-9.

Péné CB, Ouattara HM, Koulibaly GS. Late season sugarcane performance as affected by soil water regime at the yield formation stage on commercial farms in northern Ivory Coast. J Life Sci. 2012;6(6): 644-651.

Konan EA, Péné CB, Dick E. Main factors determining the yield of sugarcane plantations on Ferralsols in Ferké 2 sugar complex, Northern Ivory Coast. J. Emerg. Trends Engin. Appl. Sci. JETEAS. 2017a;8(6):244-256.

Konan EA, Péné CB, Dick E. Caractérisation agro-climatique du périmètre sucrier de Ferké 2 au Nord de la Côte d’Ivoire. J Appl. Biosci. 2017b;116:11532-11545.

Tadesse F, Negi T, Getaneh A, Dilnesaw Z, Ayele N, Teferi Y. Genetic variability and heritability of ten exotic sugarcane genotypes at Wonji sugar estate of Ethiopia. Global Adv. Res. J. Phys. Appl. Sci. 2014;3(4):1-4.

Burton GW, Devane EH. Estimating heritability in tall Fescue (Festuca arundinacea) from replicated clonal materials. Agron. J. 1953;45:487-88.

Shitahum A, Feyissa T, Abera D. Performances evaluation of advanced sugarcane genotypes (Cirad 2013) at Metahara sugar estate, Ethiopia. Int. J Adv. Res. Biol. Sci. 2018;5(1):91-104.

Singh RK, Chaundary BD. Biometrical methods in quantitative genetics analysis. New Delhi, Kalyani Publishers. 1977;57-8.

Robinson HF. Quantitative genetics in relation to breeding of the centennial of mendalism. Indian J. Gen. 1966;26:171-87.

Shivasubramanian S, Menon M. Heterosis and inbreeding depression in rice. Madras Agric. J. 1973;60:1139.

Li C. Genotypic variations in transpiration efficiency due to differences in photosynthetic capacity among sugarcane related clones. J. Exper. Bot. 2017;68(6): 2377-85.

Falconer DS, Mackay TFC. Introduction to quantitative genetics. 4th eds. Harmlow: Longman; 1996.

Singh RK, Singh DN, Singh SK, Singh HN. Genetic variability and correlation studies in foreign commercial hybrids of sugarcane. Agric. Sci. Dig. 1994;14:103-7.

Teklu DH, Kebede SA, Gebremichael DE. Assessment of genetic variability, genetic advance, correlation and path analysis for morphological traits in sesame genotypes. As. J. Agric. Res. 2014;8(4):181-194.

Fartek B, Nibouche S, Atiama-Nurbel T, Reynaud B, Costet L. Genotypic variability of sugarcane resistance to aphid Melanaphis sacchari, vector of the Sugarcane Yellow Leaf Virus. Plant Breed. 2014;133(6):771-6.

Jackson P, Basnayake J, Inman-Bamber G, Lakshmanan P, Natarajan S, Stokes C. Genetic variation in transpiration efficiency and relationships between whole plant and leaf gas exchange measurements in Saccharum spp. and related germplasm. J. Experim. Bot. 2015;67(3):861-71.

Gomez KA, Gomez AA. Statistical procedure for agricultural research (2nd eds). John Wiley and Sons Inc, New York; 1984.

Gravois KA, Milligan SB. Genetic relationship between fiber and sugarcane yield components. Crop Sci. 1992;32(1): 62-7.

Kang MS, Miller JD, Tai PYP. Genotypic and phenotypic path analyses and heritability in sugarcane. Crop Sci. 1983;23:643-47.

Rebettzke GJ, Condon AG, Richards RA, Farquhar GD. Selection of carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci. 2002;42(3):739-45.

Kimbeng CA, Rattey AR, Hetherington M. Interpretation and implications of GxE interactions in advanced stage of sugarcane selection trials in central Queensland. Aust. J. Agric. Res. 2002;53(9):1035-45.

Parfitt RC. Genotype x environment interaction among secondary variety trials in the northern region of the South African sugar industry. Proc. S. Afr. Sug. Technol. Assoc. 2000;74:245-58.

Glaz B, Kang MS. Location contributions determined via GGE biplot analysis of multi-environment sugarcane genotype-performance trials. Crop Sci. 2008;48:941-50.

Ram B, Hemaprabha G. Genetic variability in interspecific progenies in sugarcane (Saccharuim spp.). Ind. J. Genet. 1992;52(2):192-98.

Chaudhary RR. Genetic variability and heritability in sugarcane. Nepal Agric. Res. J. 2001;4:56-9.

Ram B. Estimation of genetic parameters in different environments and their implications in sugarcane breeding. In. J. Genet. 2005;52(2):192-98.

Ebid MHM, Khalil HA, Abd-ElAal AM, Fergany MA. Heritability and genotypic and phenotypic correlations among sugarcane yield and some agronomic traits. Egypt L Plant Breed. 2015;19(1):159-71.

Mancini MC, Leite DC, Perecin D. Characterization of the genetic variability of a sugarcane commercial cross through yield components and quality parameters. Sugar Tech. 2012;14(2):119-25.

Dagar P, Pahuja SK, Kaian SP, Singh. Evaluation of phenotypic variability in sugarcane using principal factor analysis. Ind. J. Sugarc. Technol. 2002;17:95-100.

Falconer DS. Introduction to quantitative genetics. 3rd eds. Longman, UK. 1989; 430.

Hallauer AR, Miranda JB. Quantitative genetics in maize breeding. Iowa State Univ. Press, Ames, Iowa .1988;468.

Nair NV, Somarajan KG, Baasundaram. Genetic variability, heritability and genetic advance in Saccharum officinarum. Int. Sugar J. 1980;82(981):275-6.

Vidya KL, Oommen SK, Vijayaraghava K. Genetic variability and heritability of yield and related characters in yard-long bean. J. Trop. Agric. 2002;40:11-3.

Butterfield MK, Nuss KJ. Prospects for new varieties in the medium to long term: The effects of current and future breeding strategy on variety characteristics. In: Proceed. S. Afric. Sugar Ind. Agron. Assoc., Kwa-Shukela. 2002;41-8.

Shoba D, Manivannan N, Vindhiyavarman P. Studies on variability, heritability and genetic advance in groundnut (Arachis hypogea L). Electron. J. Plant Breed. 2009;1(1):74-7.

Bakshi R. Estimation of genetic parameters in different environments and their implications in sugarcane breeding. Indian J. Gen. 2005;65(3):219-20.

Pandey RA. Variability study in the hybrid progenies of sugarcane (Saccharum complex). Bharatiya Sugar. 1989;49- 51.

Patel MM, Patel HS, Patel AD, Patel MP. Correlation and path analysis in sugarcane. Ind. Sugar. 2008;31:911- 14.

Tefera A, Sentayehu A, Leta T. Genetic variability, heritability and genetic advance for yield and its related traits in rainfed lowland rice (Oriza sativa L) genotypes at Fogera and Pawe, Ethiopia. Adv. Crop Sci. Technol. 2017;5(2): 1000272.

Dumont T, Thong-Chane A, Barau L, Siegmund B, Hoarau, JY. Genetic variability and genetic gains for yield components in regional sugarcane breeding program on Reunion Island. Sugar Tech; 2019.