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Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic mulch conditions in arid environment

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Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic mulch conditions in arid environment. / Ai, Zhipin; Yang, Yonghui; Wang, Qinxue; Manevski, Kiril; Wang, Quan; Hu, Qiuli; Eer, Deni; Wang, Jiusheng.

In: Journal of Agricultural Meterology, Vol. 74, No. 1, 2018, p. 1-8.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articlepeer-review

Harvard

Ai, Z, Yang, Y, Wang, Q, Manevski, K, Wang, Q, Hu, Q, Eer, D & Wang, J 2018, 'Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic mulch conditions in arid environment', Journal of Agricultural Meterology, vol. 74, no. 1, pp. 1-8. https://doi.org/10.2480/agrmet.D-16-00020

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Author

Ai, Zhipin ; Yang, Yonghui ; Wang, Qinxue ; Manevski, Kiril ; Wang, Quan ; Hu, Qiuli ; Eer, Deni ; Wang, Jiusheng. / Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic mulch conditions in arid environment. In: Journal of Agricultural Meterology. 2018 ; Vol. 74, No. 1. pp. 1-8.

Bibtex

@article{6720a16e42104511a932d993a2c26699,
title = "Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic mulch conditions in arid environment",
abstract = "Crop coefficient (Kc) is a very useful and widely used variable in evapotranspiration estimation in cropland. Traditional methods in calculating Kc are based on field water balance, which is limited by long measurement interval and small study area. In addition, there is the need for Kc under new agronomy practice such as plastic mulching and drip irrigation in arid environments. This study calculated and analyzed Kc of a drip-irrigated and plastic-mulched cotton field in Aksu Oasis of the arid Tarim River Basin, China, and its relationships with several crop-, soil- and management variables such as relative growth days (RGD), leaf area index (LAI), extractable soil water (ESW), and irrigation, based on two years{\textquoteright} observations. The results showed that daily Kc varied within the range of 0.08‒1.28, with an average of 0.54 for the entire cotton growth season, in 2013 and 2014. Compared to non-mulched condition already published, the Kc of mulched cotton for the entire growth season decreased by 16 to 39%. The largest reductions in Kc due to plastic mulch were found in the initial and developmental growth stage. Kc could be calculated by a third-degree polynomial model in relation to RGD, which was satisfactorily validated and can be used in other studies under the same or similar pedo-climatic and management conditions. Cotton LAI and ESW were found to be important factors influencing Kc, particularly their critical values of 3.0 in LAI and 0.5 for ESW. Moreover, the results showed that irrigation significantly increased Kc, i.e., 29% on average, partly due to arid advection. This study provided up-to-date and detailed information on cotton crop coefficient under plastic mulching and drip irrigation conditions in arid environment, and it is useful for improved management of agricultural water resources.",
keywords = "arid advection, bowen ratio, cotton growth, Eddy covariance",
author = "Zhipin Ai and Yonghui Yang and Qinxue Wang and Kiril Manevski and Quan Wang and Qiuli Hu and Deni Eer and Jiusheng Wang",
year = "2018",
doi = "10.2480/agrmet.D-16-00020",
language = "English",
volume = "74",
pages = "1--8",
journal = "Journal of Agricultural Meterology",
issn = "1881-0136",
publisher = "Society of Agricultural Meteorology of Japan/Nihon Nogyo Kisho Gakkai",
number = "1",

}

RIS

TY - JOUR

T1 - Characteristics and influencing factors of crop coefficient for drip-irrigated cotton under plastic mulch conditions in arid environment

AU - Ai, Zhipin

AU - Yang, Yonghui

AU - Wang, Qinxue

AU - Manevski, Kiril

AU - Wang, Quan

AU - Hu, Qiuli

AU - Eer, Deni

AU - Wang, Jiusheng

PY - 2018

Y1 - 2018

N2 - Crop coefficient (Kc) is a very useful and widely used variable in evapotranspiration estimation in cropland. Traditional methods in calculating Kc are based on field water balance, which is limited by long measurement interval and small study area. In addition, there is the need for Kc under new agronomy practice such as plastic mulching and drip irrigation in arid environments. This study calculated and analyzed Kc of a drip-irrigated and plastic-mulched cotton field in Aksu Oasis of the arid Tarim River Basin, China, and its relationships with several crop-, soil- and management variables such as relative growth days (RGD), leaf area index (LAI), extractable soil water (ESW), and irrigation, based on two years’ observations. The results showed that daily Kc varied within the range of 0.08‒1.28, with an average of 0.54 for the entire cotton growth season, in 2013 and 2014. Compared to non-mulched condition already published, the Kc of mulched cotton for the entire growth season decreased by 16 to 39%. The largest reductions in Kc due to plastic mulch were found in the initial and developmental growth stage. Kc could be calculated by a third-degree polynomial model in relation to RGD, which was satisfactorily validated and can be used in other studies under the same or similar pedo-climatic and management conditions. Cotton LAI and ESW were found to be important factors influencing Kc, particularly their critical values of 3.0 in LAI and 0.5 for ESW. Moreover, the results showed that irrigation significantly increased Kc, i.e., 29% on average, partly due to arid advection. This study provided up-to-date and detailed information on cotton crop coefficient under plastic mulching and drip irrigation conditions in arid environment, and it is useful for improved management of agricultural water resources.

AB - Crop coefficient (Kc) is a very useful and widely used variable in evapotranspiration estimation in cropland. Traditional methods in calculating Kc are based on field water balance, which is limited by long measurement interval and small study area. In addition, there is the need for Kc under new agronomy practice such as plastic mulching and drip irrigation in arid environments. This study calculated and analyzed Kc of a drip-irrigated and plastic-mulched cotton field in Aksu Oasis of the arid Tarim River Basin, China, and its relationships with several crop-, soil- and management variables such as relative growth days (RGD), leaf area index (LAI), extractable soil water (ESW), and irrigation, based on two years’ observations. The results showed that daily Kc varied within the range of 0.08‒1.28, with an average of 0.54 for the entire cotton growth season, in 2013 and 2014. Compared to non-mulched condition already published, the Kc of mulched cotton for the entire growth season decreased by 16 to 39%. The largest reductions in Kc due to plastic mulch were found in the initial and developmental growth stage. Kc could be calculated by a third-degree polynomial model in relation to RGD, which was satisfactorily validated and can be used in other studies under the same or similar pedo-climatic and management conditions. Cotton LAI and ESW were found to be important factors influencing Kc, particularly their critical values of 3.0 in LAI and 0.5 for ESW. Moreover, the results showed that irrigation significantly increased Kc, i.e., 29% on average, partly due to arid advection. This study provided up-to-date and detailed information on cotton crop coefficient under plastic mulching and drip irrigation conditions in arid environment, and it is useful for improved management of agricultural water resources.

KW - arid advection

KW - bowen ratio

KW - cotton growth

KW - Eddy covariance

UR - https://www.jstage.jst.go.jp/article/agrmet/advpub/0/advpub_D-16-00020/_article/-char/ja/

U2 - 10.2480/agrmet.D-16-00020

DO - 10.2480/agrmet.D-16-00020

M3 - Journal article

VL - 74

SP - 1

EP - 8

JO - Journal of Agricultural Meterology

JF - Journal of Agricultural Meterology

SN - 1881-0136

IS - 1

ER -