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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Main Authors: Angie Gradiz, Xin Qiao, Saleh Taghvaeian, Wei-zhen Liang, Daran Rudnick, Abia Katimbo, Jun Wang, Swathi Palle
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Agricultural Water Management
Subjects:
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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