دورية أكاديمية

CALIBRATION OF THE CROPWAT MODEL FOR THE STUDY OF SOYBEAN PRODUCTION SYSTEMS

التفاصيل البيبلوغرافية
العنوان: CALIBRATION OF THE CROPWAT MODEL FOR THE STUDY OF SOYBEAN PRODUCTION SYSTEMS
المؤلفون: Lidiane D. Gomes, Danilton L. Flumignan, Éder Comunello, Rodrigo A. Garcia
المصدر: Engenharia Agrícola, Vol 43, Iss 1 (2023)
بيانات النشر: Sociedade Brasileira de Engenharia Agrícola, 2023.
سنة النشر: 2023
المجموعة: LCC:Agriculture (General)
مصطلحات موضوعية: Evapotranspiration, Glycine max, modeling, Agriculture (General), S1-972
الوصف: ABSTRACT CROPWAT is a model that uses water balance to study the water factor and productivity in production systems. In this sense, this study aimed to calibrate the CROPWAT for modeling rainfed and irrigated soybean production systems. Climate and soil data from a soybean-producing region in the south of Mato Grosso do Sul, Brazil, were used to implementing simulations in nine agricultural years, and crop shortfalls were calculated and compared with reference data. Statistical indices were applied to evaluate the performance of the model in its calibration. For validation, two field trials with 12 cultivars were implemented under irrigation and rainfed and the mean productivity in each water management was compared with the CROPWAT estimate by Student’s t-test. Accuracy (r) was 0.976 (“very strong”), precision (r2) was equivalent to 95.3%, and the indices of agreement (d) and performance (c) were considered excellent (0.95 and 0.93, respectively) in the calibration. Validation demonstrated that the hypothesis that CROPWAT correctly estimated soybean productivity under irrigated and rainfed systems cannot be rejected at 1 or 5% significance levels.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Spanish; Castilian
Portuguese
تدمد: 0100-6916
1809-4430
Relation: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162023000100206&tlng=en; https://doaj.org/toc/0100-6916
DOI: 10.1590/1809-4430-eng.agric.v43n1e20220059/2023
URL الوصول: https://doaj.org/article/3239f58c20314010b2e4aa171e58d85b
رقم الأكسشن: edsdoj.3239f58c20314010b2e4aa171e58d85b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:01006916
18094430
DOI:10.1590/1809-4430-eng.agric.v43n1e20220059/2023