EconPapers    
Economics at your fingertips  
 

SCREENING FOR MAIZE RESISTANT GENOTYPES AGAINST STALK BORERS’ (Sesamia calamistis Hampson) INFESTATION IN MINNA, NIGER STATE, NIGERIA

R.o Oyewale (), G.a Idowu, A.k Bello, B.s Jiboh, M.h Bolajoko and H.M. Ibrahim
Additional contact information
R.o Oyewale: Department of Crop Production, Federal University of Technology, Minna, Niger State, Nigeria
G.a Idowu: National Agricultural seeds council, Seed Certification and quality control Department, Abuja-Nigeria
A.k Bello: National Agricultural seeds council, Seed Certification and quality control Department, Abuja-Nigeria
B.s Jiboh: Standards Organizations of Nigeria (SON)
M.h Bolajoko: Department of Crop Production, Federal University of Technology, Minna, Niger State, Nigeria
H.M. Ibrahim: Department of Horticulture, Federal University of Technology, Minna, Niger State, Nigeria

Big Data In Agriculture (BDA), 2024, vol. 6, issue 2, 93-97

Abstract: The experiment was conducted at the screenhouse of the Department of Crop production, Federal University of Technology Minna, (Gidan Kwano Campus) Niger state. The maize genotypes were obtained from the International Institution of Tropical Agriculture (IITA) Ibadan, Oyo state while the stem borer larvae were reared at the Department of Crop Protection, Faculty of Agriculture, Ahmadu Bello University Zaria, Kaduna state. Average infested plants were converted to percentage infestation. Analysis of variance (ANOVA) was carried out using Minitab Package and the significant means were separated using Duncan Multiple Range Test (DMRT). The result revealed that maize genotypes under stem borer infestation showed significant variations in plant height and stem diameter at various weeks under study. Result also showed significant variation among genotypes for yield parameters although number of days to silking showed no variation among treatments. MG-J had the least significant number of days to tasseling, MG-A recorded the highest number of ears followed by MG-S. It was concluded that MG-H and MG-S had the lowest rate of infestation. MG-C and MG-A had the highest grain yields among the genotypes. Therefore, MG-H and MG-S were recommended as tolerant maize genotypes while MG-C and MG-S were also recommended as high yielding maize genotypes among other genotypes under study.

Keywords: Genotypes; infested plants; yield parameters; MG-H and MG-S (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/paper/issue22024/2bda2024-93-97.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:6:y:2024:i:2:p:93-97

DOI: 10.26480/bda.02.2024.93.97

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).

 
Page updated 2025-05-03
Handle: RePEc:zib:zbnbda:v:6:y:2024:i:2:p:93-97