Analysis of Dry-Spells in the Western Maize-Growing Areas of South Africa

Author:

Daniel Siphamandla12,Mengistu Michael G.12ORCID,Olivier Cobus1,Clulow Alistair D.2ORCID

Affiliation:

1. South African Weather Service, P.O. Box X097, Pretoria 0001, South Africa

2. School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg 3209, South Africa

Abstract

Crop yield in rainfed agriculture is directly influenced by rainfall patterns, which vary from one growing season to another. The failure or success of such crops can depend on the amount and distribution of the rainfall and, particularly, on the occurrence of dry- and wet-spells during the growing season. The aim of this study was to investigate the initial and conditional probabilities of dry-spell pentads using the Markov chain model in the western maize-growing region of South Africa, as well as to determine the direction and magnitude of dry-spell trends using the Mann–Kendal monotonic trend test and Sen’s slope estimator. The results revealed that all the rainfall districts are affected by dry-spells during the mid-January-to-end-of-February period. This finding is significant because maize is usually planted during late November to late December in this region, and dry-spells may coincide with the flowering stage of the maize crop. When dry-spells occur during the flowering stage of maize, they significantly affect yield. The Mann–Kendal analysis revealed that most of the districts (7 out of 11 districts) have a decreasing trend in dry-spell occurrences except for districts 86, 87, 91 and 93. However, the decreasing trend is statistically insignificant in all the rainfall districts, and, thus, this reveals that there is no change or there is a minor change in dry-spell occurrence across all the districts. Furthermore, Sen’s slope estimator signalled a decrease in dry-spell magnitude or occurrence over the study period. Information from this study will inform farmers of the various districts regarding changes in their particular risk profile for dry-spells.

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference31 articles.

1. Department of Agriculture, Land Reform and Rural Development (DALRRD) (2020). A Profile of the South African Maize Market Value Chain, DALRRD.

2. Influencing Factors of Maize Production in South Africa: The case of Mpumalanga, Free State and North West Provinces. Department of Management, Jilin Agricultural University, Changchun, China;Diko;Asian J. Adv. Agric. Res.,2020

3. Du Plessis, J. (2003). Maize Production, Department of Agriculture. Directorate Agricultural Information Services, Department of Agriculture in Cooperation with ARC-Grain Crops Institute.

4. DARDLEA (2017, January 16). Water Infrastructure Report for Sabie River Catchment: Internal Document. Available online: https://www.iucma.co.za/wp-content/uploads/2018/11/Annual%20Report%202017-18.pdf.

5. Spatial and temporal analysis of the mid-summer dry-spells for the summer rainfall region of South Africa. South African Weather Service, Private Bag X097, Centurion, South Africa;Mengistu;Water SA,2021

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