International Journal of Agriculture and Earth Science (IJAES )
E- ISSN 2489-0081
P- ISSN 2695-1894
VOL. 9 NO. 6 2023
DOI: https://doi.org/10.56201/ijaes.v9.no6.2023.pg34.45
AJON, A.T. and WUESE, S.T
Field experiments were carried out at the Teaching and Research Farms of the Akperan Orshi Polytechnic, Yandev (AOPOLY) (Latitude 7o45’ – 8o00’N and Longitude 8o36’ – 8o45’E) in September, 2022. The experiment was carried out to assess soil productivity using soil productivity models in Akperan Orshi Polytechnic, Yandev area of Benue State. Soil productivity models considered were: Productivity Index (PI) model, Modified Productivity Index (PIm) model and Riquier index (RI) model. Three agricultural lands located within Akperan Orshi Polytechnic, Yandev namely western, eastern and southern parts of the school farming areas were used for the experiment. A total of 9 soil composite auger samples were collected at depth 0 – 30 cm for physical and chemical analysis across the three locations. The soils of the study area were of dominantly loamy sand textures at western and eastern farm sites while southern farm site was of sandy loam texture. Chemical properties of soils such as organic matter content, total nitrogen, available phosphorus and exchangeable bases contents of the soils were generally low throughout the study areas. Calculated productivity index (PI), modified Productivity Index (PIm) and Riquier Productivity Index (RI) show that Western School Farm site had 0.32, 0.18 and 0.25 values for PI, PIm and RI models respectively. Eastern School Farm site had 0.38 for PI, 0.21 for PIm and 0.25 for RI. Similarly, Southern School Farm site had 0.45 for PI, 0.25 for PIm and 0.31 for RI. The RI values of Western, Eastern and Southern School Farm sites fall under productivity class 3 and rated as ‘average productivity’. Generally, PI model had higher values followed by RI and PIm models across the locations. Soil productivity models across the locations generally, could be ranked as Southern Farm>Eastern Farm>Western Farm while ranking on the basis of the models could be PI> RI> PIm
Productivity, models, soil, index, Agricultural lands
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