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Spatial and Temporal Salinity Dynami...

Marcos, Mathias.

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Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spatial and Temporal Salinity Dynamics in Flooded Rice Fields./
Author:	Marcos, Mathias.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	38 p.
Notes:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
Subject:	Agriculture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10284391
ISBN:	9780355151206

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

Spatial and Temporal Salinity Dynamics in Flooded Rice Fields. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 38 p.

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

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

This item is not available from ProQuest Dissertations & Theses.

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.

ISBN: 9780355151206Subjects--Topical Terms:

518588
Agriculture.

Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.
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245 1 0 $a Spatial and Temporal Salinity Dynamics in Flooded Rice Fields.
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300 $a 38 p.
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.
506 $a This item is not available from ProQuest Dissertations & Theses.
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.
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650 4 $a Agronomy. $3 2122783
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