Expression of variability in corn as influenced by growth stage using optical sensor measurements

被引:72
作者
Martin, K. L.
Girma, K.
Freeman, K. W.
Teal, R. K.
Tubana, B.
Arnall, D. B.
Chung, B.
Walsh, O.
Solie, J. B.
Stone, M. L.
Raun, W. R. [1 ]
机构
[1] Oklahoma State Univ, Dept Plant & Soil Sci, Stillwater, OK 74078 USA
[2] Oklahoma State Univ, Dept Agr & Biosyst Engn, Stillwater, OK 74078 USA
关键词
D O I
10.2134/agronj2005.0268
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Improving crop management inputs with remote sensing devices is an emerging technology. This study documented the progression of the normalized difference vegetative index (NDVI) during the life cycle of corn (Zea mays L.), evaluated the spatial variability of corn growth in terms of the CV (calculated from NDVI readings), and documented the relationships between NDVI, CV (calculated from NDVI), and grain and biomass yields and plant density. Four rows, 30 m in length, from two locations during 2 yr were randomly selected for this study. An optical sensor was used to collect NDVI readings at multiple growth stages during the life cycle of corn. The NDVI increased with progression of vegetative growth stages until VIO, where a plateau was encountered, followed by a decline in NDVI after the VT growth stage. Coefficient of variation data from the NDVI readings revealed two dominant peaks during the life cycle of corn, one between the V6 and V8 growth stages and the second during the late reproductive growth stages. The CV data illustrated that the greatest variation expressed by corn during the vegetative growth stages was between the V6 and V8 growth stages. The highest correlation of NDVI with corn grain yield was found at the V7 to V9 growth stages; likewise, CV and plant density were also more highly correlated from V7 to V9. The CV from NDVI readings was highly correlated with grain and biomass yields at all growth stages.
引用
收藏
页码:384 / 389
页数:6
相关论文
共 19 条
  • [1] ANDERSON G, 1992, GEOCARTO INT, V1, P71
  • [2] ARNALL DB, 2004, THESIS OKLAHOMA STAT
  • [3] THE RELATION BETWEEN REFLECTED RADIATION AND YIELD ON THE BROADBALK WINTER-WHEAT EXPERIMENT
    ASHCROFT, PM
    CATT, JA
    CURRAN, PJ
    MUNDEN, J
    WEBSTER, R
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1990, 11 (10) : 1821 - 1836
  • [4] Characterizing water and nitrogen stress in corn using remote sensing
    Clay, D. E.
    Kim, Ki-In
    Chang, J.
    Clay, S. A.
    Dalsted, K.
    [J]. AGRONOMY JOURNAL, 2006, 98 (03) : 579 - 587
  • [5] Remote sensing of canopy dynamics and biophysical variables estimation of corn in Michigan
    Elwadie, ME
    Pierce, FJ
    Qi, J
    [J]. AGRONOMY JOURNAL, 2005, 97 (01) : 99 - 105
  • [6] Freund RJ, 2003, STAT METHODS
  • [7] Analyses of spectral biophysical relationships for a corn canopy
    Gilabert, MA
    Gandia, S
    Melia, J
    [J]. REMOTE SENSING OF ENVIRONMENT, 1996, 55 (01) : 11 - 20
  • [8] *IA STAT U, 1993, 48 IOW STAT U COOP E
  • [9] KNIPLING E B, 1970, Remote Sensing of Environment, V1, P155
  • [10] INFLUENCE OF WITHIN-ROW VARIABILITY IN PLANT SPACING ON CORN GRAIN-YIELD
    KRALL, JM
    ESECHIE, HA
    RANEY, RJ
    CLARK, S
    TENEYCK, G
    LUNDQUIST, M
    HUMBURG, NE
    AXTHELM, LS
    DAYTON, AD
    VANDERLIP, RL
    [J]. AGRONOMY JOURNAL, 1977, 69 (05) : 797 - 799