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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Analysis and Estimation of Castor Bean Crop Productivity

Analysis and Estimation of Castor Bean Crop Productivity

Carlos Santana Dos Santos, Antonio
Costa, Alexandre A.
L. Menenses, Gerardo M.

Paperback

Botany & Horticulture

ISBN10: 6209449573
ISBN13: 9786209449574
Publisher: Our Knowledge Publishing
Published: Jan 14 2026
Pages: 64
Weight: 0.22
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
This study proposes a statistical model to estimate the productivity (kg/ha) of castor beans in the state of Ceará, as a function of rainfall throughout their vegetative and reproductive cycle. Seven municipalities located in the region known as Sertão Central were selected; this choice is justified by the fact that this is the most traditional region for castor bean cultivation in the state of Ceará. Correlation coefficients were calculated between productivity and various parameters related to precipitation (total rainfall, rainfall at the beginning and end of the castor bean cycle, duration of the rainy season, etc.). To minimize the effect of local factors, such as management and soil type, the precipitation and productivity variables were normalized. Next, to eliminate the redundancy in the original variables, principal component analysis (PCA) was used, which reduced the number of independent variables from six to two. By performing a multiple regression of productivity with these two new variables, a model was obtained that allowed the estimation of the harvest for the region studied.

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