Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data

Abstract

Identification of suitable areas for yam production is critical for ensuring yield in yam production in Nigeria. The study is aimed at determining suitable lands for yam production in Nigeria. Climate, soil, and environmental parameters that have a high contribution to yam production were used in developing a yam production suitability map using the Analytical Hierarchy Process (AHP). The AHP was used in deriving weights through a pairwise comparison technique. According to the findings, highly suitable (HS), suitable (S), marginally suitable (MS), and not suitable (NS) regions accounted for 11.79, 82.68, 4.05, and 1.47% of the study area, respectively. The Normalized Difference Vegetation Index (NDVI), a measure of vegetation vigor, was higher in HS, followed by S regions, and then MS regions. Similarly, climate variables in HS regions were more favorable for plant growth, followed by S regions and MS regions. The correlation between precipitation and temperature is high and significant only in the HS class, despite the fact that NDVI and climate variables are significantly connected in all the suitability classes. The output map, thus determined, provides information on highly suitable, suitable or marginally suitable lands that are of practical importance to agriculturists.

Effects of Ultraviolet Radiation (UVR) on Some Stages of <i>Clarias gariespinus</i> (Catfish) Growth

“…According to the Koppen climate classification, Benue State lies within the tropical Savannah climate and experiences two distinct seasons: the rainy season and the dry season. An air flux from the South Atlantic Ocean characterizes the rainy season, which lasts from April to October with annual rainfall ranging from 100 to 200 mm, while a dusty air flux from the Sahara Desert, known as Harmattan, characterizes the dry season [47], which begins in November and ends in March. The temperature fluctuates between 22 and 37°C .…”

Farming practices, varietal preferences, and land suitability analyses for yam production in Eastern D.R. Congo: implications for breeding initiatives and food sovereignty

“…The land suitability index for yam was calculated using an additive linear combination model . Yam soil and climate requirements were sourced from literature (Adifon et al, 2019a,b;Neina, 2021;Igbawua et al, 2022;Agre et al, 2022a) and summarized in Supplementary Table S9.…”

“…In addition to understanding farmers' perceptions towards factors hindering yam production, assessing land suitability is critical to recommending appropriate farming practices and developing varieties that suit local biophysical conditions (Alabi et al, 2019;Igbawua et al, 2022). Furthermore, for implementing a yam breeding program, clustering environments within agro-ecological zones (AEZ) will provide valuable insight for optimizing yam varietal selection and testing (Alabi et al, 2019).…”

“…Furthermore, for implementing a yam breeding program, clustering environments within agro-ecological zones (AEZ) will provide valuable insight for optimizing yam varietal selection and testing (Alabi et al, 2019). The use of geo-spatial tools, such as the Analytic Hierarchy Process (AHP), has proven effective in mapping suitable areas for the cultivation of various crops Mugiyo et al, 2021;Igbawua et al, 2022).…”