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