The relation between yield indices of maize plant and soil physicochemical characteristics

Authors : Nalan KARS, İmanverdi EKBERLİ

Pages : 52-59

Doi:10.18393/ejss.644038

View : 38 | Download : 7

Publication Date : 2020-01-01

Article Type : Research Paper

Abstract :The aim of this study was to set regression models based on correlation between yield parameters of maize plant insert ignore into journalissuearticles values(height, thousand seed weight and yield); and physical and chemical characteristics of soils and to determine applicability of obtained models in estimation of plant yield grown in soils of Çarşamba Plain. Regression coefficient insert ignore into journalissuearticles values(R);, root mean square error insert ignore into journalissuearticles values(RMSE);, index of agreement , model efficiency insert ignore into journalissuearticles values(ME); were evaluated to determine the validity of regression models between the yield components and physical and chemical characteristics of 40 soil samples taken from root zone of cultivated farms. Model associated with the relation between insert ignore into journalissuearticles values(i); plant height and bulk density insert ignore into journalissuearticles values( BD);, field capacity insert ignore into journalissuearticles values(FC);, clay and sand content wasn’t statistical significant insert ignore into journalissuearticles values( R = 0.53, p >0.05);; insert ignore into journalissuearticles values(ii); thousand seed weight and soil electrical conductivity insert ignore into journalissuearticles values(EC);, organic matter insert ignore into journalissuearticles values(OM);, lime insert ignore into journalissuearticles values(CaCO 3 );, nitrogen insert ignore into journalissuearticles values(N);, phosphorus insert ignore into journalissuearticles values(P);, potassium insert ignore into journalissuearticles values(K);, Ca + Mg was characterized with a moderate R insert ignore into journalissuearticles values( R =0.79, p < 0.05);, and insert ignore into journalissuearticles values(iii); seed yield and OM, N, P, K, copper insert ignore into journalissuearticles values(Cu);, cation exchange capacity insert ignore into journalissuearticles values(CEC);, CaCO 3 indices has the highest R insert ignore into journalissuearticles values( R = 0.87; p <0.01);. In general, statistical parameters were within the validity limits. The established regression models can be applied for the predicting of yield parameters of maize plant grown in the farmed areas of the region.
Keywords : Soil physicochemical properties, plant height, regression models, seed yield

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