Effects of Varieties, Producing Areas, Ears, and Ear Positions of Single Maize Kernels on Near-Infrared Spectra for Identification and Traceability.
The effects of varieties, producing areas, ears, and ear positions of maize on near-infrared (NIR) spectra were investigated to determine the factors causing the differences in NIR fingerprints of maize varieties. A total of 130 inbred lines were grown in two regions in China, and 12,350 kernel samples were analyzed through NIR spectroscopy. Spectral differences among varieties, producing areas, ears, and ear positions were determined and compared on the basis of pretreated spectra. The bands at 1300-1470, 1768-1949, 2010-2064, and 2235-2311 nm were mainly affected by the producing area. Band selection and principal component analysis were applied to improve the influence of variety on NIR spectra by processing the pretreated spectra. The degrees of the influence of varieties, producing areas, ears, and ear positions were calculated, and the percentages of the influence of varieties, producing areas, ears, and ear positions were 45.40%, 42.66%, 8.22%, and 3.72%, respectively. Therefore, genetic differences among maize inbred lines are the main factors accounted for NIR spectral differences. Producing area is a secondary factor. These results could provide a reference for researchers who authenticate varieties, perform geographical origin traceabilities, and conduct maize seed breeding.
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.|Modern Precision Agriculture System Integration Research Key Laboratory of Ministry of Education, Beijing, 100083, China.
Dong
D
An
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Yongjin
Y
Cui
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Xu
X
Liu
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Shiqiang
S
Jia
Beijing Kings Nower Seed S&T CO., LTD., Beijing, 100080, China.
Shuyun
S
Zheng
Beijing Kings Nower Seed S&T CO., LTD., Beijing, 100080, China.
Xiaoping
X
Che
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Zhe
Z
Liu
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Xiaodong
X
Zhang
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Dehai
D
Zhu
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.|Key Laboratory of Agricultural information acquisition technology (Beijing), Ministry of Agriculture, Beijing, 100083, China.
Shaoming
S
Li
D001947:Breeding; D002681:China; D005843:Geography; D025341:Principal Component Analysis; D012639:Seeds / Q000033:anatomy & histology* / Q000254:growth & development; D019265:Spectroscopy, Near-Infrared; D003313:Zea mays / Q000033:anatomy & histology* / Q000235:genetics / Q000254:growth & development