Establishing modalities for commercial-based variety evaluation and review of relative cane variety composition in sugarcane plantations
Keywords:Crop cycle, Datasets, General performance, Growers’ preferences, Major criteria, Post release variety evaluation, Survey data
Coordinated commercial and trial based variety evaluation is compulsory to avoid sugarcane growers’ unexpected loss due to the pre- and post release variety performance discrepancies. This investigation was conducted to establish modalities for commercial based variety evaluation, estimating the general performance (Gp) and relative variety composition or proportion (RCV) of commercial varieties cultivated in Ethiopia. The cane, sugar and estimated recoverable sucrose yield (ERS) data of commercial varieties obtained from agricultural and factory operations datasets and the survey data were included and analyzed. Three modalities were established for commercial based variety evaluation, estimating GP and RVC of sugarcane varieties. Results from the analysis of variance revealed the existence of significant and complex interactions among the variety, crop cycle, cutting and harvest age effects. Its significance demonstrated the importance of specific crop management for a specific sugarcane variety cultivated in the respective sugarcane plantation and demands the revision of the existing crop management practices in all sugarcane plantations. Generally, the established models were adequate to evaluate variety yield performance, estimate GP and RVC of the varieties evaluated. The models developed to estimate the GP and RCV of varieties in a specific sugarcane plantation were original and are the major innovative parts of this investigation. The serious variety ranking changes across locations highlighted the existence of substantial genotype x environment interaction and signals the long year cultivated sugarcane varieties had specific environmental domains in Ethiopia. The inclusion of survey data (growers’ preference) in the present investigation was much helpful in the process of identifying appropriate variety rankings. Hence, we recommend active participations of sugarcane growers in future commercial and trial based variety evaluations. Moreover, we suggested that future research efforts involving commercial and trial based variety evaluation to adopt the established modalities as a guide to assure efficient and coordinated sugarcane variety evaluation program in Ethiopia.
Cadet, P., Berry, S., Spaul, V.W., 2005. Long-term ratooning of sugarcane on sandy soils in Kwa-Zulu Natal. Proc. S. Afr. Sug. Technol. Ass. Durban, 79, 175-178.
Ellis, R.N., Basford, K.E., Leslie, J.K., Hogarth, D.M., Cooper, M., 2004. A methodology for analysis of sugarcane productivity trends 2. Comparing variety trials with com¬mercial productivity. Aust. J. Agr. Res., 55, 109-116.
Ftwi, M., Mekbib, F., Abraha, E., 2017. Temporal and spatial factors affecting the nature of genotype x environment interaction in sugarcane (Saccharum officinarum L.) under Ethiopian agro-climatic conditions: An integrated approach. Am. J. Plant Sci., 8, 1721-1749.
Ftwi, M., Mekbib, F., Abraha, E., 2018. Genotype x environment interaction and genotype evaluations for yield, yield components and qualities in sugarcane (Saccharum Spp.) Ethiopia. Sci. J. Crop Sci., 7(1), 249-263.
Gilbert, R.A., Shine, J.M., Miller, J.D., Rice, R.W., Rainbolt, C.R., 2006. The effect of genotype, environment and time of harvest on sugarcane yields in Florida, USA. Field Crop. Res., 95, 156-170.
Mebrahtom, F., Firew, M., Eyasu, A., 2017. Multivariate analysis of sugar yield contributing traits in Sugarcane (Saccharum officinarum L.), in Ethiopia. Afr. J. Plant Sci., 10(8), 145-156.
Mordocco, A., Stringer, J.K., Cox, M.C., 2007. District adoption patterns of commercial sugarcane varieties to increase economic returns to the Australian sugar industry. Sug. Cane Int., 25(4), 3-6.
Parfitt, R.C., 2005. Release of sugarcane varieties in South Africa. Proc. S. Afr. Sugar Technol. Ass., 79, 63-71.
Ramburan, S., Redshaw, K.A., van den Berg, M., 2007. Variety evaluation in the South African sugarcane industry: An overview. Proc. S. Afr. Suger Technol. Ass., 26, 558-561.
Ramburan, S., van den Berg, M., 2011. Review and analysis of post-release variety evaluation of sugarcane: A South African perspective. Int. Sugar J., 113, 22-29.
Rice, R.W., Gilbert, R.A., Daroub, S.H., 2005. Application of the soil taxonomy key to the organic soils of the everglades agricultural area. Gainesville: University of Florida Institute of Food and Agricultural Sciences.
Sandhu, H.S., Gilbert, R.A., Shine, J., Rice, R.W., 2017. Performance of CP sugarcane cultivars grown in different locations in Florida. SSAGR-285, 1-5.
Statistical Analysis System Institute, SAS Users Guide; Version 9.2. 2009. SAS Ins. Inc. Cary North Carolina, USA.
Twomlow, S., Bekele, S., Cooper, P., Keatinge, J.D.H., 2008. Integrating genetics and natural resource management for technology targeting the greater impact of agricultural research in the semi-arid tropics. Exp. Agr., 44, 235-256.
Vargas, M., Combs, E., Alvarado, G., Gary, G., Mathews, K., Crossa, J., 2013. A suite of SAS programs to analyze multi-environment breeding trials. Biometrical, Modeling and Statistics. Universidad Autonoma Chapingo, Chapingo, Mexico. Agron. J., 105, 11-19.
How to Cite
Copyright (c) 2020 Mebrahtom Ftwi, Endris Yesuf, Melaku Tesfa, Abera Degefa
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.