Utilizing infrared radiometry thermometer and two source energy balance model for irrigation scheduling of dry edible beans in western Nebraska: Part 1. Experiment

Isabella Presotto Possignolo; Xin Qiao; Wei Zhen Liang

doi:10.13031/aim.201901289

Utilizing infrared radiometry thermometer and two source energy balance model for irrigation scheduling of dry edible beans in western Nebraska: Part 1. Experiment

Isabella Presotto Possignolo, Xin Qiao, Wei Zhen Liang

Daugherty Water for Food Global Institute

Research output: Contribution to conference › Paper › peer-review

Abstract

Infrared radiometry thermometer (IRT) is a tool that has proved its success on irrigation scheduling of many crops such as corn, sorghum, and cotton. Yet few studies have been done on dry edible beans. In this study, IRTs were installed at a dry edible bean field under various irrigation levels in western Nebraska during 2018 growing season. Crop water stress index (CWSI) was calculated during full canopy closure to quantify plant water stress. Preliminary results showed that average CWSI of full irrigation (100%) treatment (0.11) were lower compared to the rainfed (0%) treatment (0.46). This study will be presented in two parts and this paper presents part one: the experiment setup and calculation of CWSI for all irrigation levels, whereas part two of the study will discuss using different TSEB approaches to separate crop and soil component and calculate dry edible bean evapotranspiration.

Original language	English (US)
DOIs	https://doi.org/10.13031/aim.201901289
State	Published - 2019
Event	2019 ASABE Annual International Meeting - Boston, United States Duration: Jul 7 2019 → Jul 10 2019

Conference

Conference	2019 ASABE Annual International Meeting
Country/Territory	United States
City	Boston
Period	7/7/19 → 7/10/19

Keywords

CWSI
Dry edible bean
IRT
Irrigation scheduling
TSEB

ASJC Scopus subject areas

Agronomy and Crop Science
Bioengineering

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10.13031/aim.201901289

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Utilizing infrared radiometry thermometer and two source energy balance model for irrigation scheduling of dry edible beans in western Nebraska: Part 1. Experiment. / Possignolo, Isabella Presotto; Qiao, Xin; Liang, Wei Zhen.
2019. Paper presented at 2019 ASABE Annual International Meeting, Boston, United States.

Research output: Contribution to conference › Paper › peer-review

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title = "Utilizing infrared radiometry thermometer and two source energy balance model for irrigation scheduling of dry edible beans in western Nebraska: Part 1. Experiment",

abstract = "Infrared radiometry thermometer (IRT) is a tool that has proved its success on irrigation scheduling of many crops such as corn, sorghum, and cotton. Yet few studies have been done on dry edible beans. In this study, IRTs were installed at a dry edible bean field under various irrigation levels in western Nebraska during 2018 growing season. Crop water stress index (CWSI) was calculated during full canopy closure to quantify plant water stress. Preliminary results showed that average CWSI of full irrigation (100%) treatment (0.11) were lower compared to the rainfed (0%) treatment (0.46). This study will be presented in two parts and this paper presents part one: the experiment setup and calculation of CWSI for all irrigation levels, whereas part two of the study will discuss using different TSEB approaches to separate crop and soil component and calculate dry edible bean evapotranspiration.",

keywords = "CWSI, Dry edible bean, IRT, Irrigation scheduling, TSEB",

author = "Possignolo, {Isabella Presotto} and Xin Qiao and Liang, {Wei Zhen}",

year = "2019",

doi = "10.13031/aim.201901289",

language = "English (US)",

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TY - CONF

T1 - Utilizing infrared radiometry thermometer and two source energy balance model for irrigation scheduling of dry edible beans in western Nebraska

T2 - 2019 ASABE Annual International Meeting

AU - Possignolo, Isabella Presotto

AU - Qiao, Xin

AU - Liang, Wei Zhen

PY - 2019

Y1 - 2019

N2 - Infrared radiometry thermometer (IRT) is a tool that has proved its success on irrigation scheduling of many crops such as corn, sorghum, and cotton. Yet few studies have been done on dry edible beans. In this study, IRTs were installed at a dry edible bean field under various irrigation levels in western Nebraska during 2018 growing season. Crop water stress index (CWSI) was calculated during full canopy closure to quantify plant water stress. Preliminary results showed that average CWSI of full irrigation (100%) treatment (0.11) were lower compared to the rainfed (0%) treatment (0.46). This study will be presented in two parts and this paper presents part one: the experiment setup and calculation of CWSI for all irrigation levels, whereas part two of the study will discuss using different TSEB approaches to separate crop and soil component and calculate dry edible bean evapotranspiration.

AB - Infrared radiometry thermometer (IRT) is a tool that has proved its success on irrigation scheduling of many crops such as corn, sorghum, and cotton. Yet few studies have been done on dry edible beans. In this study, IRTs were installed at a dry edible bean field under various irrigation levels in western Nebraska during 2018 growing season. Crop water stress index (CWSI) was calculated during full canopy closure to quantify plant water stress. Preliminary results showed that average CWSI of full irrigation (100%) treatment (0.11) were lower compared to the rainfed (0%) treatment (0.46). This study will be presented in two parts and this paper presents part one: the experiment setup and calculation of CWSI for all irrigation levels, whereas part two of the study will discuss using different TSEB approaches to separate crop and soil component and calculate dry edible bean evapotranspiration.

KW - CWSI

KW - Dry edible bean

KW - IRT

KW - Irrigation scheduling

KW - TSEB

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Utilizing infrared radiometry thermometer and two source energy balance model for irrigation scheduling of dry edible beans in western Nebraska: Part 1. Experiment

Abstract

Conference

Keywords

ASJC Scopus subject areas

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