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פותח על ידי קלירמאש פתרונות בע"מ -
Generalization of the root length density distribution of cotton under film mulched drip irrigation
Year:
2015
Source of publication :
Field Crops Research
Authors :
בן-גל, אלון
;
.
Volume :
177
Co-Authors:
Ning, S., College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China
Shi, J., College of Resources and Environmental Sciences, China Agricultural University, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, China
Zuo, Q., College of Resources and Environmental Sciences, China Agricultural University, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, China
Wang, S., College of Resources and Environmental Sciences, China Agricultural University, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, China
Ben-Gal, A., Soil, Water and Environmental Sciences, Agricultural Research Organization, Gilat Research Center, mobile post, Negev, Israel
Facilitators :
From page:
125
To page:
136
(
Total pages:
12
)
Abstract:
Root length density (RLD) distribution information is essential to crop growth and soil water/solute transport predictions and for rational irrigation scheduling and crop management. Unfortunately, measuring RLD accurately in the field is difficult and time-consuming, especially for row crops such as cotton. Field experiments were conducted over two seasons (Exp. 1 and 2 in 2011 and 2012, respectively) to investigate two-dimensional RLD distribution of cotton under film mulched drip irrigation in Xinjiang, China. Different RLD distributions were created by varying row and drip line spacing, irrigation water salinity, irrigation volume and fertilizer application rate. Both distributions of measured RLD and calculated normalized RLD (NRLD), the root length allocation proportions of a plant at different relative depths, were found to decrease with depth, concentrating within the upper soil layers with nearly negligible differences along the horizontal direction. NRLD values in Exp. 2 were pooled together and simply generalized as a vertical one-dimensional decreasing function with just one fitted coefficient of a = 2.06, which was employed to characterize the maximum value of NRLD at the soil surface and its downward decreasing rate. The generalized function was verified to be in good agreement with the measured NRLD distributions of cotton in Exp. 1, and then further improved using all the NRLD data from Exp. 1 and 2. The improved function (with a = 1.96) was shown useful in estimating RLD distribution and simulating soil water flow and salinity transport in a soil-cotton system. © 2015 Elsevier B.V.
Note:
Related Files :
drip irrigation
fertilizer application
Mulching
salinity
Soil water and salinity stresses
Xinjiang Uygur
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.fcr.2015.03.012
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
24280
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:06
You may also be interested in
Scientific Publication
Generalization of the root length density distribution of cotton under film mulched drip irrigation
177
Ning, S., College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China
Shi, J., College of Resources and Environmental Sciences, China Agricultural University, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, China
Zuo, Q., College of Resources and Environmental Sciences, China Agricultural University, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, China
Wang, S., College of Resources and Environmental Sciences, China Agricultural University, Key Laboratory of Plant-Soil Interactions, Ministry of Education, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture, Beijing, China
Ben-Gal, A., Soil, Water and Environmental Sciences, Agricultural Research Organization, Gilat Research Center, mobile post, Negev, Israel
Generalization of the root length density distribution of cotton under film mulched drip irrigation
Root length density (RLD) distribution information is essential to crop growth and soil water/solute transport predictions and for rational irrigation scheduling and crop management. Unfortunately, measuring RLD accurately in the field is difficult and time-consuming, especially for row crops such as cotton. Field experiments were conducted over two seasons (Exp. 1 and 2 in 2011 and 2012, respectively) to investigate two-dimensional RLD distribution of cotton under film mulched drip irrigation in Xinjiang, China. Different RLD distributions were created by varying row and drip line spacing, irrigation water salinity, irrigation volume and fertilizer application rate. Both distributions of measured RLD and calculated normalized RLD (NRLD), the root length allocation proportions of a plant at different relative depths, were found to decrease with depth, concentrating within the upper soil layers with nearly negligible differences along the horizontal direction. NRLD values in Exp. 2 were pooled together and simply generalized as a vertical one-dimensional decreasing function with just one fitted coefficient of a = 2.06, which was employed to characterize the maximum value of NRLD at the soil surface and its downward decreasing rate. The generalized function was verified to be in good agreement with the measured NRLD distributions of cotton in Exp. 1, and then further improved using all the NRLD data from Exp. 1 and 2. The improved function (with a = 1.96) was shown useful in estimating RLD distribution and simulating soil water flow and salinity transport in a soil-cotton system. © 2015 Elsevier B.V.
Scientific Publication
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