Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains
Dry edible bean is an important crop for protein sources worldwide. As freshwater resources become increasingly constrained, understanding how dry beans respond to different irrigation regimes and identifying optimal irrigation management strategies becomes crucial for maintaining adequate yields. T...
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Format: | Article |
Language: | English |
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Elsevier
2025-03-01
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Series: | Agricultural Water Management |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424006164 |
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author | Angie Gradiz Xin Qiao Saleh Taghvaeian Wei-zhen Liang Daran Rudnick Abia Katimbo Jun Wang Swathi Palle |
author_facet | Angie Gradiz Xin Qiao Saleh Taghvaeian Wei-zhen Liang Daran Rudnick Abia Katimbo Jun Wang Swathi Palle |
author_sort | Angie Gradiz |
collection | DOAJ |
description | Dry edible bean is an important crop for protein sources worldwide. As freshwater resources become increasingly constrained, understanding how dry beans respond to different irrigation regimes and identifying optimal irrigation management strategies becomes crucial for maintaining adequate yields. This three-year (2021–2023) study investigated the impacts of irrigation treatments, ranging from rainfed to over-irrigated conditions, on soil water dynamics, canopy cover, leaf area index, yield, actual evapotranspiration, and water productivities for dry edible beans grown in western Nebraska, U.S. Although dry beans are often considered a shallow-rooted crop, our results demonstrated their ability to adapt to drought stress by extracting soil water from significantly deeper depths than previously expected. Results also revealed that reducing irrigation by 25 % did not significantly decrease yields across all three growing seasons. The pooled normalized biomass water productivity (WPb) was 16.5 g m−2 with an R2 of 0.68. This quantified WPb can be valuable for future crop modeling simulations, such as those using FAO's AquaCrop model. |
format | Article |
id | doaj-art-3a5fe25498b0430180147e9d093ea58e |
institution | Kabale University |
issn | 1873-2283 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | Agricultural Water Management |
spelling | doaj-art-3a5fe25498b0430180147e9d093ea58e2025-01-25T04:10:43ZengElsevierAgricultural Water Management1873-22832025-03-01308109280Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plainsAngie Gradiz0Xin Qiao1Saleh Taghvaeian2Wei-zhen Liang3Daran Rudnick4Abia Katimbo5Jun Wang6Swathi Palle7Michigan State University, USAUniversity of Nebraska-Lincoln, USA; Correspondence to: University of Nebraska-Lincoln 4502 Avenue I, Scottsbluff, Nebraska 69361, USA.University of Nebraska-Lincoln, USAUniversity of Nebraska-Lincoln, USAKansas State University, USAUniversity of Nebraska-Lincoln, USAThe University of Iowa, USAIRZ Engineering & Consulting, USADry edible bean is an important crop for protein sources worldwide. As freshwater resources become increasingly constrained, understanding how dry beans respond to different irrigation regimes and identifying optimal irrigation management strategies becomes crucial for maintaining adequate yields. This three-year (2021–2023) study investigated the impacts of irrigation treatments, ranging from rainfed to over-irrigated conditions, on soil water dynamics, canopy cover, leaf area index, yield, actual evapotranspiration, and water productivities for dry edible beans grown in western Nebraska, U.S. Although dry beans are often considered a shallow-rooted crop, our results demonstrated their ability to adapt to drought stress by extracting soil water from significantly deeper depths than previously expected. Results also revealed that reducing irrigation by 25 % did not significantly decrease yields across all three growing seasons. The pooled normalized biomass water productivity (WPb) was 16.5 g m−2 with an R2 of 0.68. This quantified WPb can be valuable for future crop modeling simulations, such as those using FAO's AquaCrop model.http://www.sciencedirect.com/science/article/pii/S0378377424006164Deficit irrigationNormalized biomass water productivityVariable rate irrigation |
spellingShingle | Angie Gradiz Xin Qiao Saleh Taghvaeian Wei-zhen Liang Daran Rudnick Abia Katimbo Jun Wang Swathi Palle Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains Agricultural Water Management Deficit irrigation Normalized biomass water productivity Variable rate irrigation |
title | Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains |
title_full | Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains |
title_fullStr | Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains |
title_full_unstemmed | Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains |
title_short | Responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the U.S. high plains |
title_sort | responses of dry edible bean crop growth and water productivities under different irrigation scenarios in the u s high plains |
topic | Deficit irrigation Normalized biomass water productivity Variable rate irrigation |
url | http://www.sciencedirect.com/science/article/pii/S0378377424006164 |
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