國立虎尾科技大學 |

Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Spatial and Temporal Salinity Dynamics in Flooded Rice Fields./
Author:	Marcos, Mathias.
Description:	1 online resource (38 pages)
Notes:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
Subject:	Agriculture. -
Online resource:	click for full text (PQDT)
ISBN:	9780355151206

Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.
Marcos, Mathias.

Spatial and Temporal Salinity Dynamics in Flooded Rice Fields. - 1 online resource (38 pages)

Source: Masters Abstracts International, Volume: 56-06.

Thesis (M.S.)--University of California, Davis, 2017.

Includes bibliographical references

The scarcity of high quality irrigation water is a global issue facing rice growers, forcing many to adopt water management systems that may result in increased salinity and yield reductions. While salt concentrations in field water have been shown to vary depending on water management, the distribution and build-up patterns of dissolved salts are unclear. This study was conducted to elucidate the within field spatial and temporal salinity dynamics in flooded rice cropping systems, and to assess current salinity thresholds for rice yield reduction. In this two-year study, water and soil salinity concentrations of eleven field sites were monitored weekly, with three sampling points being established in the top, middle and bottom basins of each field. There was a consistent spatio-temporal water salinity pattern among all fields: the maximum water salinity within a field occurred during week 2 to week 7 after planting, ranged from 0.36 to 6.06 dS m-1, and was greatest farther from the irrigation inlet and where soil salinity was high. A model developed to predict water salinity within a field indicates that, averaged over an entire growing season, the position within a field contributed to 78% of the variation explained by the model, while preseason soil salinity contributed to 22%. Preseason soil salinity was a poor predictor of yield loss; however, season-average water salinity above 0.88 dS m-1 was negatively correlated with yield. These results illustrate the ability to predict water salinity in a rice field with few parameters, while highlighting the importance of field water salinity as the main salinity metric for rice cropping systems.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355151206Subjects--Topical Terms:

660421
Agriculture.
Index Terms--Genre/Form:

554714
Electronic books.

Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.
LDR:02869ntm a2200337Ki 4500 001 916782
005 20180928111501.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355151206
035 $a (MiAaPQ)AAI10284391
035 $a (MiAaPQ)ucdavis:17019
035 $a AAI10284391
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Marcos, Mathias. $3 1190615
245 1 0 $a Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.
264 0 $c 2017
300 $a 1 online resource (38 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 56-06.
500 $a Adviser: Bruce A. Linquist.
502 $a Thesis (M.S.)--University of California, Davis, 2017.
504 $a Includes bibliographical references
520 $a The scarcity of high quality irrigation water is a global issue facing rice growers, forcing many to adopt water management systems that may result in increased salinity and yield reductions. While salt concentrations in field water have been shown to vary depending on water management, the distribution and build-up patterns of dissolved salts are unclear. This study was conducted to elucidate the within field spatial and temporal salinity dynamics in flooded rice cropping systems, and to assess current salinity thresholds for rice yield reduction. In this two-year study, water and soil salinity concentrations of eleven field sites were monitored weekly, with three sampling points being established in the top, middle and bottom basins of each field. There was a consistent spatio-temporal water salinity pattern among all fields: the maximum water salinity within a field occurred during week 2 to week 7 after planting, ranged from 0.36 to 6.06 dS m-1, and was greatest farther from the irrigation inlet and where soil salinity was high. A model developed to predict water salinity within a field indicates that, averaged over an entire growing season, the position within a field contributed to 78% of the variation explained by the model, while preseason soil salinity contributed to 22%. Preseason soil salinity was a poor predictor of yield loss; however, season-average water salinity above 0.88 dS m-1 was negatively correlated with yield. These results illustrate the ability to predict water salinity in a rice field with few parameters, while highlighting the importance of field water salinity as the main salinity metric for rice cropping systems.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Agriculture. $3 660421
650 4 $a Agronomy. $3 1027735
655 7 $a Electronic books. $2 local $3 554714
690 $a 0473
690 $a 0285
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of California, Davis. $b Horticulture and Agronomy. $3 1190616
773 0 $t Masters Abstracts International $g 56-06(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10284391 $z click for full text (PQDT)