Leaf spectral reflectance for nondestructive measurement of plant nutrient status

被引:14
作者
Davenport, JR
Perry, EM
Lang, NS
Stevens, RG
机构
[1] Washington State Univ, Dept Crop & Soil Sci, Prosser, WA 99350 USA
[2] Washington State Univ, Ctr Precis Agr Syst, Prosser, WA 99350 USA
[3] Michigan State Univ, Dept Hort, E Lansing, MI 48824 USA
关键词
apple; potato; grape; nitrogen; leaf; petiole; NDVI;
D O I
10.21273/HORTTECH.15.1.0031
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
The ability to monitor plant nutrient status of high value horticultural crops and to adjust seasonal nutrient supply via fertilizer application has economic and environmental benefits. Recent technological advances may enable growers and field consultants to conduct this type of monitoring nondestructively in the future. Using the perennial crop apple (Malus domestica) and the annual crop potato (Solanum tuberosum), a hand-held leaf reflectance meter was used to evaluate leaf nitrogen (N) status throughout the growing season. In potato, this meter showed good correlation with leaf blade N content. Both time of day and time of season influenced leaf meter measurement, but leaf position did not. In apple, three different leaf meters were compared: the leaf spectral reflectance meter and two leaf greenness meters. Correlation with both N rate and leaf N content were strongest for the leaf reflectance meter early in the season but nonsignificant late in the season, whereas the leaf greenness meters gave weak but significant correlations throughout the growing season. The tapering off of leaf reflectance values found with the hand-held meter is consistent with normalized difference vegetation index (NDVI) values calculated from satellite images from the same plots. Overall, the use of leaf spectral reflectance shows promise as a tool for nondestructive monitoring of plant leaf status and would enable multiple georeferenced measurements throughout a field for differential N management.
引用
收藏
页码:31 / 35
页数:5
相关论文
共 21 条
[1]  
Bausch WC, 1996, T ASAE, V39, P1869, DOI 10.13031/2013.27665
[2]  
Bremner JM., 1996, CHEM METHODS SSSA BO, V5, P1085
[3]   Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance [J].
Daughtry, CST ;
Walthall, CL ;
Kim, MS ;
de Colstoun, EB ;
McMurtrey, JE .
REMOTE SENSING OF ENVIRONMENT, 2000, 74 (02) :229-239
[4]   Does potassium fertilizer form, source, and time of application influence potato yield and quality in the Columbia Basin? [J].
Davenport, JR ;
Bentley, EM .
AMERICAN JOURNAL OF POTATO RESEARCH, 2001, 78 (04) :311-318
[5]  
DAVENPORT JR, 2000, P 5 INT C PREC AGR U
[6]  
*DIG GLOB INC, 2004, BAS IM
[7]   USE OF A CHLOROPHYLL METER TO EVALUATE THE NITROGEN STATUS OF DRYLAND WINTER-WHEAT [J].
FOLLETT, RH ;
FOLLETT, RF ;
HALVORSON, AD .
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 1992, 23 (7-8) :687-697
[8]   Estimating leaf nitrogen concentration in ryegrass (Lolium spp.) pasture using the chlorophyll red-edge:: theoretical modelling and experimental observations [J].
Lamb, DW ;
Steyn-Ross, M ;
Schaare, P ;
Hanna, MM ;
Silvester, W ;
Steyn-Ross, A .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (18) :3619-3648
[9]  
Lang N. S., 2000, HortTechnology, V10, P468
[10]  
Lang N. S., 1999, WASHINGTON STATE U E, VEB1871