Relationship of Corn Yield, Biomass, and Leaf Nitrogen with Normalized Difference Vegetation Index and Plant Height

被引:24
作者
Yin, Xinhua [1 ]
McClure, M. Angela [1 ]
机构
[1] Univ Tennessee, Dep Plant Sci, Jackson, TN 38301 USA
关键词
IN-SEASON PREDICTION; GRAIN-YIELD; USE EFFICIENCY; WINTER-WHEAT; GROWTH; VARIABILITY; REFLECTANCE; CANOPY; NUTRITION; STRESS;
D O I
10.2134/agronj2012.0206
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The strength of the relationships of corn (Zea mays L.) yield, plant biomass, and leaf N concentration with early- to mid-growing season combined normalized difference vegetation index (NDVI) and plant height measurements has not been adequately documented. The objective of this study was to compare the strength among the relationships of corn yield, plant biomass, and leaf N with combined and respective NDVI and plant height measurements taken during the early to mid-season under major cropping systems. Two field N rate response studies in non-irrigated corn after soybean [Glycine max (L.) Merr.] (CS), non-irrigated corn after cotton [Gossypium hirsutum (L.)] (CCT), non-irrigated corn after corn (CC), and irrigated corn after soybean (ICS) were conducted at Jackson and Milan, TN, from 2008 through 2010. Regressions of corn yield, plant biomass, and leaf N concentration with NDVI x plant height and NDVI + plant height were slightly to markedly stronger in terms of R-2 values than those of corn yield, plant biomass, and leaf N with NDVI alone during 6-leaf growth stage (V6) to 12-leaf growth stage (V12) regardless of cropping system. No strength difference was observed between the regressions of corn yield, plant biomass, and leaf N with NDVI x plant height or NDVI + plant height and with plant height alone. Our results suggest that the benefits are variable in using combined NDVI and plant height measurements to assess corn growth and N nutrition and/or predict corn yield relative to the utilization of NDVI measurements alone during the early- to mid-season.
引用
收藏
页码:1005 / 1016
页数:12
相关论文
共 28 条
[1]   NITROGEN, PHOSPHORUS, AND POTASSIUM CONTENT OF THE CORN LEAF AND GRAIN AS RELATED TO NITROGEN FERTILIZATION AND YIELD [J].
BENNETT, WF ;
STANFORD, G ;
DUMENIL, L .
SOIL SCIENCE SOCIETY OF AMERICA PROCEEDINGS, 1953, 17 (03) :252-258
[2]   Maximum benefit of a precise nitrogen application system for wheat [J].
Biermacher, Jon T. ;
Epplin, Francis M. ;
Brorsen, B. Wade ;
Solie, John B. ;
Raun, William R. .
PRECISION AGRICULTURE, 2006, 7 (03) :193-204
[3]   In-season nitrogen status sensing in irrigated cotton: II. Leaf nitrogen and biomass [J].
Bronson, KF ;
Chua, TT ;
Booker, JD ;
Keeling, JW ;
Lascano, RJ .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2003, 67 (05) :1439-1448
[4]   By-plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height [J].
Freeman, Kyle W. ;
Girma, Kefyalew ;
Arnall, Daryl B. ;
Mullen, Robert W. ;
Martin, Kent L. ;
Teal, Roger K. ;
Raun, William R. .
AGRONOMY JOURNAL, 2007, 99 (02) :530-536
[5]  
Hatfield J.L., 2008, Agron. J, V100, pS
[6]   Spatial growth and nitrogen uptake variability of corn at two nitrogen levels [J].
Katsvairo, TW ;
Cox, WJ ;
Van Es, HM .
AGRONOMY JOURNAL, 2003, 95 (04) :1000-1011
[7]   Remote sensing of nitrogen stress in creeping bentgrass [J].
Kruse, Jason K. ;
Christians, Nick E. ;
Chaplin, Michael H. .
AGRONOMY JOURNAL, 2006, 98 (06) :1640-1645
[8]   A simple spectral index using reflectance of 735 nm to assess nitrogen status of rice canopy [J].
Lee, Yuh-Jyuan ;
Yang, Chwen-Ming ;
Chang, Kuo-Wei ;
Shen, Yuan .
AGRONOMY JOURNAL, 2008, 100 (01) :205-212
[9]  
Leib B.G., 2011, Management of irrigation systems in Tennessee (MOIST) spreadsheet
[10]   Spatial and temporal variability of corn growth and grain yield: Implications for site-specific farming [J].
Machado, S ;
Bynum, ED ;
Archer, TL ;
Lascano, RJ ;
Wilson, LT ;
Bordovsky, J ;
Segarra, E ;
Bronson, K ;
Nesmith, DM ;
Xu, W .
CROP SCIENCE, 2002, 42 (05) :1564-1576