Korean Journal of Breeding Science :eISSN 2287-5174 / pISSN 0250-3360

Table. 1.

Regression models (MPLS, PLS, and PCR) with scatter correction (SNV-DT) and mathematical treatments for predicting germination rates of wheat seeds subjected to accelerated aging (N=1,360) using NIRS.

Method GH Math Tretment N Mean SD Calibration Cross-validation


SEC R2 SECV 1-VR SD/SECV
MPLS 10 1,4,4,1 828 65.395 29.966 8.209 0.930 9.083 0.911 3.27
3 1,4,4,1 799 97.096 29.806 7.514 0.936 9.075 0.914 3.28
3 2,4,4,1 797 65.379 30.779 8.594 0.922 10.256 0.890 3.00
3 2,8,6,1 801 65.539 30.817 8.232 0.929 9.416 0.913 3.27
PLS 10 1,4,4,1 828 65.395 31.066 9.146 0.913 9.939 0.898 3.13
3 1,4,4,1 790 66.347 29.929 8.289 0.923 9.947 0.893 3.01
3 2,4,4,1 813 65.317 30.958 9.713 0.902 11.054 0.872 2.80
3 2,8,6,1 802 65.482 30.839 9.738 0.900 10.253 0.890 3.01
PCR 10 1,4,4,1 828 65.395 31.066 14.626 0.778 14.586 0.779 2.13
3 1,4,4,1 794 66.345 29.949 12.253 0.833 12.961 0.814 2.31
3 2,4,4,1 817 65.570 30.962 18.156 0.656 18.474 0.644 1.68
3 2,8,6,1 806 65.290 30.793 17.509 0.677 17.800 0.665 1.73
Korean J. Breed. Sci. 2024;56:461-9 https://doi.org/10.9787/KJBS.2024.56.4.461
© 2024 Korean J. Breed. Sci.