메뉴 건너뛰기




Volumn 66, Issue 4, 2012, Pages 447-450

Selection of haploid maize kernels from hybrid kernels for plant breeding using near-infrared spectroscopy and SIMCA analysis

Author keywords

Corn; Haploid selection; Maize; Near infrared spectroscopy; NIR spectroscopy; Partial least squares; PLS; SIMCA; Single kernel analysis; Soft independent modeling of class analogy

Indexed keywords

CORN; HAPLOID SELECTION; MAIZE; NIR SPECTROSCOPY; PARTIAL LEAST SQUARE (PLS); PLS; SIMCA; SINGLE KERNEL; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES;

EID: 84859761850     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/11-06426     Document Type: Article
Times cited : (30)

References (15)
  • 1
    • 84859753811 scopus 로고    scopus 로고
    • Federal Grain Inspection Service, U.S. Department of Agriculture, Washington, DC
    • Near-Infrared Transmittance Handbook (NIRT) (Federal Grain Inspection Service, U.S. Department of Agriculture, Washington, D.C., 2006).
    • (2006) Near-Infrared Transmittance Handbook (NIRT)
  • 12
    • 0000117331 scopus 로고
    • SIMCA: A method for analyzing chemical data in terms of similarity and analogy
    • Ed. ACS Symposium Series (American Chemical Society, Washington, D.C.,), Chap 12
    • S. Wold and M. Sjöström, "SIMCA: A Method for Analyzing Chemical Data in Terms of Similarity and Analogy," in Chemometrics: Theory and Application, B. Kowalski, Ed. ACS Symposium Series Vol. 52 (American Chemical Society, Washington, D.C., 1977), Chap 12, pp. 243-282.
    • (1977) Chemometrics: Theory and Application, B. Kowalski , vol.52 , pp. 243-282
    • Wold, S.1    Sjöström, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.