This study examined the relationship between derived precipitation indices and millet in Kano State, Nigeria. Data on monthly rainfall (mm) and millet yield (kg/ha) from 1992-2022 were used for the study. The rainfall data was sourced from NiMet and IITA while the crop yield data was sourced from KNARDA. The data obtained were subjected to correlation analysis in SPSS environment version 20. The result obtained revealed that a relationship exists between precipitation indices and millet at the onset of rainfall (r=0.421, p=0.018) at the significant level of 1% and negative (r=0.059, p=0.753) at the Cessation period. Also, the study revealed that there were low and negative relations between the rainfall data and millet production in May (r= -0.057, p= 0.760) and June (r=0.193) at a 0.05 significant level. In July (r=0.233), and August a very low and positive relationship was observed between rainfall and millet yield (r=0.156, p=0.401). The result of the study further revealed that a very low and positive relationship was observed between A.G.S.R and Millet yield (r=0.298) and between Millet production with LRS (r=0.194, p=0.296). A markedly and negligible negative relationship was observed between SI and millet yield (r=0.010) at a 0.05 significant level. The study concluded that variation occurred in millet production in Kano state between the onset and cessation period of rainfall received. Based on the findings, the study recommends that medium-maturing varieties of millet should be introduced to minimize the effect of precipitation indices.
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