Evaluation of yield performance of sorghum (Sorghum bicolor L. Moench) varieties in Central Tanzania

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Research Paper 01/08/2018
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Evaluation of yield performance of sorghum (Sorghum bicolor L. Moench) varieties in Central Tanzania

Andekelile Mwamahonje, Zacharia Maseta
Int. J. Agron. Agri. Res.13( 2), 8-14, August 2018.
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Abstract

The study was conducted to determine the performance of local and improved varieties in Central zone, Tanzania. The experiment was arranged in a Randomized Complete Block Design (RCBD) with three replications, one local variety (udo) and two improved varieties (NACO-1 and macia) were used. Results indicated significance variation at p < 0.05 among sorghum tested in terms of plant height, leaf area, and leaf length. Out of three sorghum varieties tested, variety macia was the shortest in plant height (122.37 cm) while variety udo showed the highest plant height (279.8 cm). There was no significance variation in yield, number of tillers, leaf width, total leaf area, leaf area index and moisture content among three varieties tested. However, improved variety NACO-1 yielded the highest (1870.83 g) followed by macia (1412.7 g) while local variety udo yielded the lowest 914.43 (g) respectively. Such results indicate that, there is a difference in genetic bases with variation in the gene action expressing phenotypes among varieties tested. The variety NACO-1 could contains QTLs expressing high yielding compared to the rest varieties. Moreover, varieties respond different in the level of tolerant during dry spell period. This may be one factor that has favoured high yielding in improved varieties in addition to high stay green ability than udo. From this study, we recommend variety NACO-1 for adoption by farmers to enhance high production of sorghum, considering that this variety has performed better in most sorghum production areas in Tanzania.

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Abduselam F, Tegene S, Legese Z, Tadesse F, Biri A, Tessema T. 2018. Evaluation of Early Maturing Sorghum (Sorghum bicolor (L.)Moench) Varieties, for Yield and Yield Components in the Lowlands of Eastern Hararghe. Asian Journal of Plant Science and Research 8, 40-43.

Agrama HA, Tuinstra MR. 2003.Phylogenetic diversity and relationships among sorghum accessions using SSRs and RAPDs. African Journal of Biotechnology 2, 334-340.

Ayub M, Nadeem MA, Tahir M, Ghafoor A, Ahmed Z, Naeem M. 2010. Comparative Studies on the Growth, Forage Yield and Quality of Sorgum (Sorghum Bicolor L.) Varieties under Irrigated Conditions of Faisalabad. Pakistan Journal of Life and Social Sciences 8, 94-97.

Bayu W, Rethman NFG, Hammes PS.  2005. Growth and yield compensation in sorghum (Sorghum bicolor L. Moench) as a function of planting density and nitrogen fertilizer in semi-arid areas of north eastern Ethiopia. South African Journal of Plant and Soil 22, 76-83.

Belay F, Meresa H. 2017.Performance evaluation of sorghum [Sorghum bicolor (L.) Moench] hybrids in the moisture stress conditions of Abergelle District, Northern Ethiopia. Journal of Cereals and Oilseeds 8, 26-32.

Bibi A, Sadaqat HA, Tahir MHN, Akram HM. 2012. Screening of sorghum (Sorghum bicolor Varmoench) for drought tolerance at seedling stage in polyethylene glycol. Journal of Animal and Plant Sciences 22, 671-678.

Borrell AK, Hammer GL, Douglas ACL. 2000. Does maintaining green leaf area in sorghum improve yield under drought. Leaf growth and senescence. Crop Science 40, 1026–1037.

Felderhoff TJ. 2011. QTLs for Energy Related Traits in a Sweet × Grain RIL Sorghum [Sorghum bicolor (L.) Moench] Population. MSc. Thesis, Graduate Studies of Texas A & M University. August, 2011.

FAOSTAT. 2013. Database of agricultural production. Rome: Food and Agriculture Organization of the United Nations. Available at [accessed December, 2017]. http://faostat.fao.org/default.aspx

Getnet Z, Husen A, Fetene M, Yemata G. 2015. Growth, Water Status, Physiological, Biochem ical and Yield Response of Stay Green Sorghum (Sorghum bicolor (L.) Moench) Varieties- A Field Trial Under Drought-Prone Area in Amhara Regional State, Ethiopia. Journal of Agronomy 14, 188-202.

Ghosh SC, Akram S, Ahsan SM, Al-Asif A, Shahriyar S. 2015.Morpho-physiological and yield performance of grain sorghum genotypes. Asian Journal of Medican and Biological Research 1, 271-284.

Grossi MC, Justino F, Rodrigues RD, Andrade CLT. 2015. Sensitivity of the sorghum yield to individual changes in climate parameters: Modelling based approach. Bragantia 74, 341-349.

INTSORMIL, 2007. Crop utilization and marketing: An evaluation of new market development and marketing strategies on sorghum and millet farmer’s income in Tanzania and Zambia. Ohio, United State of America, p. 79-84.

Kim HK, Luquet D, Oosterom E, Dingkuhn M, Hammer G. 2010. Regulation of tillering in sorghum: genotypic effects. Annals of Botany 106, 69–78.

Kotu BH, Admassie A. 2015.Potential impact of improved varieties on poverty reduction: a case study of selected cereal crops in two districts of Ethiopia. International Conference for Agricultural Economists, Milan, Italy.

Lafarge TA, Broad IJ, Hammer GL. 2002. Tillering in grain sorghum over a wide range of population densities: Identification of a common hierarchy for tiller emergency, leaf area development and fertility. Annals of Botany 90, 87-98.

Macauley H. 2015. Cereal Crops: Rice, Maize, Millet, Sorghum, Wheat. An Action Plan for African Agricultural Transformation. Feeding Africa, 21-23 October, 2015. Dakar, Senegal.

May A, de Souza VF, Gravina GD,  Fernandes PG. 2014.Plant population and row spacing on biomass sorghum yield performance Espaçamento entrelinhas e população de plantas no desempenho produtivo do sorgo biomassa. Ciência Rural, Santa Maria.

Mitaru BN, Mgonja MA, Rwomushana I, Opio F, eds. 2012.Integrated sorghum and millet sector for increased economic growth and improved livelihoods in Eastern and Central Africa. Proceedings of the ECARSAM Stakeholders Conference, 20–22 November 2006, Dar es Salaam, Tanzania. ASARECA (Association for Strengthening Agricultural Research in Eastern and Central Africa), Entebbe.

Mpangwa M. 2011. Adoption and economic impacts of improved sorghum varieties in semi-arid areas of Tanzania: A case of Singida rural district. MSc. Thesis, Agricultural Economics of Sokoine University of Agriculture, Morogoro, Tanzania.

Msongaleli BM, Tumbo SD, Kihupi NI, Rwehumbiza FB. 2017. Performance of Sorghum Varieties under Variable Rainfall in Central Tanzania. International Scholarly Research Notices. Article ID 2506946.

Munishi PKT. 2009. Analysis of climate change and its impacts on productive sectors, particularly agriculture in Tanzania, Tech. Rep., Ministry of Finance and Economic Affairs, 2009.

Muui CW, Muasya RM, Kirubi DT. 2013. Participatory identification and evaluation of sorghum (Sorghum bicolor (L.) Moench) landraces from lower eastern Kenya. International Research Journal of Agricultural Science and Soil Science 3, 283–290.

Orr A, Mwema C, Gierend A, Nedumaran S. 2016. Sorghum and Millets in Eastern and Southern Africa. Facts, Trends and Outlook. Working Paper Series No. 62.ICRISAT Research Program, Markets, Institutions and Policies. Patancheru 502 324, Telangana, India: International Crops Research Institute for the Semi-Arid Tropics, p. 76.

Saadan HM, Mgonja MA, Obilana AB. 2000.Performance of the Sorghum Variety Macia in Multiple Environments in Tanzania. ISMN 4I, 10– 12.

Vadez V, Deshpande S, Kholova J, Ramu P, Hash CT. 2013. Molecular Breeding for Stay-Green: Progress and Challenges in Sorghum. In: Varshney RK, Tuberosa R, Ed. Translational Genomics for Crop Breeding. John Wiley & Sons Ltd, 125–141.

Yoseph T, Sorsa Z. 2014.Evaluation of sorghum (Sorghum bicolor (L.) Moench) varieties, for yield and yield components at Kako, Southern Ethiopia. Journal of Plant Sciences 2, 129-133.

Zou G, Zhai G, Feng Q, Yan S, Wang A, Zhao Q, Shao J, Zhang Z, Zou Z, Han B, Tao Y. 2012. Identification of QTLs for eight ergonomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods. Journal of Experimental Botany 63(15), 5451–5462.