EconPapers    
Economics at your fingertips  
 

Identifying drivers for variability in maize (Zea mays L.) yield in Ghana: A meta-regression approach

Anselme K.K. Kouame, Prem S. Bindraban, Isaac N. Kissiedu, Williams K. Atakora and Khalil El Mejahed

Agricultural Systems, 2023, vol. 209, issue C

Abstract: Maize is the main cereal crop in Ghana, but its production is adversely affected by various biotic and abiotic factors.

Keywords: Maize yield variability; Fertilizer rate; QUEFTS; Linear Mixed Effects Model; Random Forest; Maize yield prediction (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X23000720
Full text for ScienceDirect subscribers only

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:eee:agisys:v:209:y:2023:i:c:s0308521x23000720

DOI: 10.1016/j.agsy.2023.103667

Access Statistics for this article

Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen

More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:agisys:v:209:y:2023:i:c:s0308521x23000720