Grain yield potential and stability of some open-pollinated varieties, exotic hybrids and promising single crosses of maize (Zea mays L.) in Central Sudan

Paper Details

Research Paper 01/11/2018
Views (286) Download (10)
current_issue_feature_image
publication_file

Grain yield potential and stability of some open-pollinated varieties, exotic hybrids and promising single crosses of maize (Zea mays L.) in Central Sudan

Suliman H Suliman, Abdel Rahman A Mohammed, Abu Elhassan S Ibrahim
Int. J. Agron. Agri. Res.13( 5), 62-70, November 2018.
Certificate: IJAAR 2018 [Generate Certificate]

Abstract

Maize (Zea mays L.) in the Sudan is a promising cereal crop with the potential usefulness for both human beings and livestock. In this study, 13 maize genotypes were evaluated over two consecutive seasons (2013 and 2014) at three locations, viz. Gezira, Rahad and Elsuki research stations farms of the Agricultural Research Corporation (ARC), under irrigation. The objectives were to evaluate these genotypes for grain yield potential and stability and henceforth identifying the highest yielding and stable genotypes for the different environments. A wide range of genetic variability was observed among the genotypes for most of the studied traits. The significant environment, genotype and genotype x environment (GE) component of interaction indicated wide differences among the environments and differential genotypic behavior to the test environments. Moreover, the three open pollinated genotypes HSD-5158, PR-89B-5655 and S99TLWQHG”AB, in addition to the exotic hybrids JKH 56 and PAC 745 were not significantly different in grain yield among themselves, but showed the highest grain yield, 2048, 1838, 2040, 1819 and 1858kg/ha, respectively, when compared to the rest of the genotypes. They out-yielded than the local check, Hudeiba-2 (1728kg/ha) by 18.5%, 6.4% 18.0%, 5.0% and 8.0%, respectively. The regression coefficients of the five genotypes were 0.591, 1.346, 1.136, 1.227 and 1.158. The results also indicated that, HSD-5158 and S99TLWQHG”AB showed taller plants (150 and 174cm) and they were late maturing compared to the rest of the genotypes. The results on the other hand, showed that, AMMI and pattern analysis have higher efficiency in partitioning and analyzing stability studies compared to regression analysis. PCA1and PCA2 in AMMI accounted for 55.8% and 20.3% and together they accounted for 76.1% of the GE sum of squares. This study concluded that, the five genotypes, HSD-5158, PR-89B-5655, S99TLWQHG”AB, JKH 56 and PAC 745 showed grain yield superiority and stability under the test environments. They could be grown successfully in the irrigated central clay plains of the Sudan. It is suggested to grow these genotypes under rain-fed conditions in southern Gadaref and the Blue Nile State for more than two seasons to test them for yield potential and stability.

VIEWS 22

Abdalla EA, Mahmoud MF, El Naim AM. 2010. Evaluation of some maize (Zea mays L.) varieties in different environments of the Nuba Mountains of Sudan. Australian Journal of Basic and Applied Sciences 4(12), 6605-6610.

Becker HC, Leon J. 1988. Stability analysis in plant breeding. Plant Breeding 101, 1-23.

Crossa J. 1990. Statistical analysis of multi-location trials. Advance Agronomy 44, 55-85.

Dowswell CR, Paliwal RL, Cantrell RP. 1996. Maize in the Third World. Westview Press, Inc. A division of Harper Collins Publisher, Inc., USA.

Eberhart S, Russell WA. 1966. Stability parameters for comparing varieties. Crop Science 6, 36-40.

FAOSTAT. 2010. Statistical databases and data-sets of the Food and Agriculture Organization of the United Nations (http:// faostat.fao.org.aspx.

Finlay KW, Wilkinson GN. 1963. The analysis of adaptation in a plant breeding programme. Australian Journal of Agricultural Research 14, 742-745.

Heisey PW, Morris ML, Byerlee D, Lopez-Pereira MA. 1998. Economics of hybrid maize adoption. In: Morris ML (Editor): Maize Seed Industries in Developing Countries. Lynne Rienner Publishers. Boulder, Colorado pp. 143 – 158.

Hohls Trevor. 2001. Conditions under which selection for mean productivity, tolerance to environmental stress, or stability should be used to improve yield across a range of contrasting environments. Euphyitca 120, 235-245.

Ishag AA. 2004. Estimation of general and specific combing ability of some maize inbred lines (Zea mays L.). Ph. D. Thesis, Faculty of Agriculture, University of Khartoum, Sudan.

Koutsika-Sotiriou M. 1999. Hybrid seed production in maize. In Basra A.S. (ed.): Heterosis and Hybrid Seed Production in Agronomic Crops. Food Products Press, New York 25-64.

Mohammed AA, Osama MA, Mohammed HKH. 2015. Performance and grain yield of maize (Zea mays L.) hybrids in the irrigated and rainfed central clay plains of the Sudan. Sudan Journal of Agricultural Research 24, 17-28.

Rosegrant MW, Msangi S, Ringler C, Sulser TB, Zhu T, Cline SA. 2008. International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model Description. International Food Policy Research Institute: Washington, D.C http://www.ifpri.org/themes/impact/impactwater.pdf (accessed May 1, 2011).

Salih MA, Ali ES, Babiker EA, Ali NA. 2008. Effects of nitrogen source on yield and nitrogen use efficiency of two maize (Zea mays L.) varieties. Sudan Journal of Agricultural Research 12, 11-22.

Sallah PYK, Obeng-Antwi K, Ewool MB. 2002. Potential of elite maize composites for drought tolerance in stress and non-drought stress environments. African Crop Science Journal 10, 1- 9.

Sneller CH, Kilgore-Norquest L, Dombek D. 1997. Repeatability of yield stability statistics in soybean. Crop Science 37, 383-390.

Yau SK. 1995. Regression and AMMI analysis of genotype x environment interaction: An empirical comparison. Agronomy Journal 87, 121-126.

Zobel RW, Wright MJ, Gauch HG. 1988. Statistical analysis of a yield trial. Agronomy Journal 80, 388-393.