An approach for assessing the effects of site-specific fertilization on crop growth and yield of durum wheat in organic agriculture

被引:0
|
作者
M. Diacono
A. Castrignanò
C. Vitti
A. M. Stellacci
L. Marino
C. Cocozza
D. De Benedetto
A. Troccoli
P. Rubino
D. Ventrella
机构
[1] University of Bari,Dipartimento di Scienze Agro
[2] Consiglio per la ricerca e la sperimentazione in agricoltura - Unità di ricerca per i sistemi colturali degli ambienti caldo-aridi (Bari),ambientali e Territoriali
[3] University of Bari,Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti
[4] Consiglio per la ricerca e la sperimentazione in agricoltura - Centro di ricerca per la cerealicoltura,undefined
来源
Precision Agriculture | 2014年 / 15卷
关键词
Precision fertilization; Hyperspectral data; Plant response; Grain yield variability; Polygon kriging;
D O I
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中图分类号
学科分类号
摘要
Precision agriculture (PA) technologies allow us to assess field variability and support site-specific (SSP) application of inputs. The joint application of PA and organic farming practices might be synergetic. The objective of this 3-year study was to propose a multivariate statistical and geostatistical approach, to evaluate the effects of SSP nitrogen (N) fertilization on durum wheat in transition to organic farming. Soil parameters were measured to assess soil fertility level before the SSP fertilization on wheat, which was carried out by management zones in the third year. Radiometric measurements were performed with a hyperspectral spectroradiometer and N-uptake at anthesis and grain yield were determined. The expected values and 95 % confidence intervals of the soil parameters, N-uptake and yield data were estimated with polygon kriging for each management zone. Reflectance data were reduced through principal component analysis and the retained principal components were submitted to factorial co-kriging analysis to estimate orthogonal scale-dependent factors. Comparisons between N-uptake and yield and between the retained regionalized factors (F1) and yield were performed. The spatial pattern of F1 at shorter scales was mostly reproduced in the N-uptake map, suggesting the predictive capacity of hyperspectral data for crop N-status. Within-cluster variance for yield was reduced, quite probably as a combined effect of meteorological pattern and management. The preliminary results seem to be promising in the perspective of PA. Moreover, an inverse relationship between grain yield and crop N-status was observed.
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页码:479 / 498
页数:19
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