کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6363475 1622909 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Crop coefficient for cotton under plastic mulch and drip irrigation based on eddy covariance observation in an arid area of northwestern China
ترجمه فارسی عنوان
ضریب محصول برای پنبه تحت مالش آب پلاستیکی و آبیاری قطره ای بر اساس مشاهدات کوواریانس گردابی در ناحیه خشک شمال غربی چین
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی


- Eddy covariance based crop evapotranspiration (ETc) of cotton under plastic mulch and drip irrigation in Xinjiang during the growing seasons in 3 years was 526 mm.
- Initial crop coefficient (Kc) was higher than literature due to the high soil moisture of base soil in the inter-film-zone.
- Three key variables were selected to establish Kc models under local conditions.
- Results showed that the growth days after sowing was a reliable indicator to estimate the Kc in the similar environments.

Crop coefficient (Kc) is an important parameter in irrigation management. Kc values published by Food and Agriculture Organization (FAO) are subject to uncertainties and adjustment when applied to different areas under different climates and/or irrigation methods. This study investigated Kc of cotton in an experimental site under plastic mulch and drip irrigation in the Tarim River Basin in northwestern China through a 3-year crop evapotranspiration (ETc) observation by using the eddy covariance system. The average ETc during the growing seasons in 3 years is 526 mm, and the locally developed Kc values during the initial, mid, and late seasons are 0.23, 0.88, and 0.44, respectively. The relationships between Kc and leaf area index (LAI), Kc and growing degree days (GDD), and Kc and growing days after sowing (GD) were further analyzed. The relationship between weekly Kc and GDD, as well as weekly Kc and GD, during the growth stage after sowing is fitted to a third-order polynomial model (R2 = 0.96 and 0.95, respectively). Meanwhile, the relationship between weekly Kc and LAI is suitably described using a logarithmic model (R2 = 0.87). As LAI was not measured every day, daily and weekly models were reestablished based on LAI measurement days. The performance of the LAI model is low on a weekly basis (R2 = 0.88, 0.88, 0.72 for GD, GDD, and LAI models, respectively) but accurate on a daily basis (R2 = 0.81, 0.81, 0.89 for GD, GDD, and LAI models, respectively). GD is a reliable indicator to estimate Kc of cotton under plastic mulch and drip irrigation and provides a basis for evapotranspiration estimation in cotton fields by using the FAO-56 method. This study provides valuable supplementary and reference information for efficient water management in cotton cropping systems in arid regions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Agricultural Water Management - Volume 171, June 2016, Pages 21-30
نویسندگان
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