Field Evaluation of Yield and Yield Component Traits of Breeding Lines of Maize over Two Seasons in Derived Savannah Agro-Ecology


  • Charles U. UBA University of Nigeria, Department of Crop Sciencem Nsukka, Enugu State (NG)
  • Christian U. AGBO University of Nigeria, Department of Crop Sciencem Nsukka, Enugu State (NG)
  • Uchechukwu P. CHUKWUDI University of Nigeria, Department of Crop Sciencem Nsukka, Enugu State (NG)
  • Andrew A. EFUSIE University of Port Harcourt, Department of Crop & Soil Science, P.M.B. 5323 Choba, Port Harcourt, Rivers State (NG)
  • Stella O. MUOJIAMA University of Nigeria, Department of Crop Sciencem Nsukka, Enugu State (NG)



contrasting season; correlation coefficient; path coefficient analysis; yield; Zea mays


The understanding of yield and the interaction with its components is very important for selection in early generations of crop breeding. Twelve maize genotypes were collected from International Institute for Tropical Agriculture (IITA) along with seven landraces in order to identify the contribution of different traits to yield improvement. The experiments were carried out in two different seasons (March/April-early and July/August- late) in a randomized complete block design with three replications. Early season planting had a higher grain yield than late season planting. The difference in grain yield between early and late season was 3.92 tons/ha. This represents a 27.8% increase in grain yield during the early season over the late season planting. Number of ears per plant and shelling percentage were not influenced by seasonal effects. Ear weight and days to tasselling showed the highest direct positive effects of 0.972 and 0.665, respectively on grain yield, during early season. Furthermore, ear weight, followed by shelling percentage, exerted the highest direct positive effect on grain yield in late season. Higher indirect positive effects were obtained for ear diameter, ear length, ear height and plant height via ear weight in both seasons. Ear weight, days to tasselling and ear length were identified as the major traits affecting yield of maize in both seasons in the derived Savannah agro-ecology.


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Agele SO (2006). Weather and seasonal effects on growth, seed yield and soluble carbohydrate concentrations in selected maize cultivars in the humid areas of Nigeria. African Journal of Agricultural Research 1(4):101-110.

Aldrich SR, Scott WO, Leng ER (1975). Modern corn production. 2nded., A & L Publications, Champaign, III pp 103-117.

Beiragi MA, Khorasani SK, Shojaei SH, Dadresan M, Mostafavi K, Golbashy M (2011). A study on effects of planting dates on growth and yield of 18 corn hybrids (Zea mays L.). American Journal of Experimental Agriculture 1(3):110-120.

Bell M.J, Wright GC (1998). Groundnut growth and development in contrasting environment. Growth and plant density responses. Experimental Agriculture 34(1):99-112

Bello O B, Ige SA, Azeez MA, Afolabi MS, Abdulmaliq SY, Mahamood J (2012). Heritability and genetic advance for grain yield and its component characters in maize (Zea Mays L). International Journal of Plant Research 2(5):138-145.

De Groote H (2002). Maize yield losses from tem borers in Kenya. Insect Science and its Application 22:89-96.

Dewey DR, Lu KH (1959). A correlation and path coefficient analysis ofcomponents of crested wheat grass seed production. Agronomy Journal 51(9):515-518.

Eckert D (1995). Corn production in Ohio. Retrieved 23 Febr 2018 from http: //ohioline. osu. Edu /b472/.Htm

Eleweanya NP, Uguru MI, Eneobong EE, Okocha PI (2005). Correlation and path coefficient analysis of grain yield related characters in maize (Zea mays L.) under umudike conditions of South Eastern Nigeria. Agro-Science 4(1).

Fakorede MAB (2001). Revolutionizing nigerian agriculture with the golden seed. Inaugural Lecture, Obafemi Awolowo University, Ile-Ife.

Henfy M (2011). Genetic parameters and path analysis of yield and its components in corn inbred lines (Zea mays L) at different sowing dates. Asian Journal of Crop Science 3(3):106-117.

Hordzi WHK, Botchey MA (2012). Some parasitoids of Lepidopterous stem borer pests on maize in Southern Ghana. Bulletin of Environment Pharmacology and Life Sciences 1(6):77-83.

Ibrahim K, Shamsudin MN, Yacob R, Radan A (2014). Economic impact of climate change on maize production in Northern Nigeria. Trends in Applied Science and Research 9(9):522-533.

Kamara Y, Ekeleme F, Chikoye D, Omioigui LO (2009). Planting date and cultivar effects on grain yield in dry land corn production. Agronomy Journal 101(1):91-98.

Linderholm HW, Walther A, Chen D (2008). Twentieth-century trends in the thermal growing season in the Greater Baltic Area. Climatic Change 87(3-4):405-419.

Majumder DAN, Hassan L, Rahim MA, Kabir MA (2012). Correlation and path coefficient analysis of mango (Mangifera indica L.). Bangladesh Journal of Agricultural Research 37(3): 493-503.

Namaka A, Abubakar IU, Sadik IA, Sharifai AI, Hassas AH (2008). Effect of sowing date and nitrogen level on yield and yield components of two extra early maize varieties (Zea mays L.) in Sudan savanna of Nigeria. Journal of Agricultural and Biological Science 3(2):1-5.

Nielson RL, Thomison PR, Brown GA, Halter AL, Wells J, Wuethricc KL (2002). Delayed planting date effects on flowering and grain maturation of corn. Agronomy Journal 94(3):549-558.

Norwood CA (2001). Dryland corn production in Western Kansas: effect of hybrid maturity, planting date and plant population. Agronomy Journal 93(3):540-547.

Obi IU (1981). Identified major disease hazards of maize production in Southern Nigeria. Der Tropenlandwirt - Journal of Agriculture in the Tropics and Subtropics 82(2):137-144.

Obi IU (2006). Maize: Its agronomy, diseases, pests and food values. Optimal Computer Solutions, ISBN: 978-2039-13-6 2nd ed.

Olakojo SA, Akinlosotu TA (2004). Comparative study of storage methods of maize grains in South Western Nigeria. African Journal of Biotechnology 3(7):362-365.

Olawuyi OJ, Odebode AC, Alfar A, Olakojo SA, Adesoye AI (2010). Performance of maize genotypes and arbuscular mycorrhizal fungi in Samara district of South West region of Doha Qatar. Nigerian Journal of Mycology 3(1):86-100.

Rani GU, Rao VS, Ahmad ML, Rao KLN (2017). Character association and path coefficient analysis of grain yield and yield components in maize (Zea mays L.). International Journal of Current Microbiology and Applied Sciences 6(12):4044-4050.

Tyagi SD, Khan MH (2010). Studies on genetic variability and inter relationship among different traits in Microsperma lentil (Lens culinaris Medik). Journal of Agriculture Biotechnology and Sustainable Development 2(1):15-20.

Uguru MI, Baiyeri KP, Abba SC (2011). Indicators of climate change in derived Savannah niche on Nsukka, South Eastern Nigeria. Agro-Science 10(1).

Wright S (1934). The method of path coefficients. The Annals of Mathematical Statistics 5(3):161-215.




How to Cite

UBA, C. U., AGBO, C. U., CHUKWUDI, U. P., EFUSIE, A. A., & MUOJIAMA, S. O. (2018). Field Evaluation of Yield and Yield Component Traits of Breeding Lines of Maize over Two Seasons in Derived Savannah Agro-Ecology. Notulae Scientia Biologicae, 10(4), 567–574.



Research articles
DOI: 10.15835/nsb10410329