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Total kernel yield was not significantly different between fertilizer treatments.
Therefore, it is feasible to improve both kernel yield and lysine content simultaneously in maize breeding.
This study aimed at seeking the genetic possibility of coinstantaneous improvement of kernel yield and lysine content in maize (Zea mays L .. Fifteen inbred lines selected from 5 basic maize populations were crossed with 5 elite inbred lines derived from different heterotic groups according to the NCII design.
Average kernel yield was calculated kilograms per hectare.
However, Kernel yield at Fedis site and pooled kernel yield were not significantly affected by the treatments.
To estimate the areca nut kernel yield, seventy-five palms were selected randomly from each treatment.
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The convolution of a data set with a kernel yields a measure of "how much" the data set looks like the kernel at every location in the data set.
The kernel yields varied significantly among different treatments.
The non-linear classifier based on Radial Basis Function (RBF) kernel yielded classification accuracy of 97%.
The kernel yields (kg/palm) varied significantly among different treatments (F = 200.73; df = 5, 70; P < 0.0001).
When tested on the same data, SVM classifier with a RBF kernel yielded better classification results than a neural network of the same kernel function [18, 41].
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