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Rapid Estimation of Crop Water Stress Index on Tomato Growth
The goal of this research is to use a WORKSWELL WIRIS AGRO R INFRARED CAMERA (WWARIC) to assess the crop water stress index (CWSI(W)) on tomato growth in two soil types. This normalized index (CWSI) can map water stress to prevent drought, mapping yield, and irrigation scheduling. The canopy tempera...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347285/ https://www.ncbi.nlm.nih.gov/pubmed/34372375 http://dx.doi.org/10.3390/s21155142 |
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author | Alordzinu, Kelvin Edom Li, Jiuhao Lan, Yubin Appiah, Sadick Amoakohene AL Aasmi, Alaa Wang, Hao |
author_facet | Alordzinu, Kelvin Edom Li, Jiuhao Lan, Yubin Appiah, Sadick Amoakohene AL Aasmi, Alaa Wang, Hao |
author_sort | Alordzinu, Kelvin Edom |
collection | PubMed |
description | The goal of this research is to use a WORKSWELL WIRIS AGRO R INFRARED CAMERA (WWARIC) to assess the crop water stress index (CWSI(W)) on tomato growth in two soil types. This normalized index (CWSI) can map water stress to prevent drought, mapping yield, and irrigation scheduling. The canopy temperature, air temperature, and vapor pressure deficit were measured and used to calculate the empirical value of the CWSI based on the Idso approach (CWSI(Idso)). The vegetation water content (VWC) was also measured at each growth stage of tomato growth. The research was conducted as a 2 × 4 factorial experiment arranged in a Completely Randomized Block Design. The treatments imposed were two soil types: sandy loam and silt loam, with four water stress treatment levels at 70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC on the growth of tomatoes to assess the water stress. The results revealed that CWSI(Idso) and CWSI(W) proved a strong correlation in estimating the crop water status at R(2) above 0.60 at each growth stage in both soil types. The fruit expansion stage showed the highest correlation at R(2) = 0.8363 in sandy loam and R(2) = 0.7611 in silt loam. VWC and CWSI(W) showed a negative relationship with a strong correlation at all the growth stages with R(2) values above 0.8 at p < 0.05 in both soil types. Similarly, the CWSI(W) and yield also showed a negative relationship and a strong correlation with R(2) values above 0.95, which indicated that increasing the CWSI(W) had a negative effect on the yield. However, the total marketable yield ranged from 2.02 to 6.8 kg plant(−1) in sandy loam soil and 1.75 to 5.4 kg plant(−1) in silty loam soil from a low to high CWSI(W). The highest mean marketable yield was obtained in sandy loam soil at 70–100% FC (0.0 < CWSI(W) ≤ 0.25), while the least-marketable yield was obtained in silty loam soil 40–50% FC (0.75 < CWSI(W) ≤ 1.0); hence, it is ideal for maintaining the crop water status between 0.0 < CWSI(W) ≤ 0.25 for the optimum yield. These experimental results proved that the WWARIC effectively assesses the crop water stress index (CWSI(W)) in tomatoes for mapping the yield and irrigation scheduling. |
format | Online Article Text |
id | pubmed-8347285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83472852021-08-08 Rapid Estimation of Crop Water Stress Index on Tomato Growth Alordzinu, Kelvin Edom Li, Jiuhao Lan, Yubin Appiah, Sadick Amoakohene AL Aasmi, Alaa Wang, Hao Sensors (Basel) Article The goal of this research is to use a WORKSWELL WIRIS AGRO R INFRARED CAMERA (WWARIC) to assess the crop water stress index (CWSI(W)) on tomato growth in two soil types. This normalized index (CWSI) can map water stress to prevent drought, mapping yield, and irrigation scheduling. The canopy temperature, air temperature, and vapor pressure deficit were measured and used to calculate the empirical value of the CWSI based on the Idso approach (CWSI(Idso)). The vegetation water content (VWC) was also measured at each growth stage of tomato growth. The research was conducted as a 2 × 4 factorial experiment arranged in a Completely Randomized Block Design. The treatments imposed were two soil types: sandy loam and silt loam, with four water stress treatment levels at 70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC on the growth of tomatoes to assess the water stress. The results revealed that CWSI(Idso) and CWSI(W) proved a strong correlation in estimating the crop water status at R(2) above 0.60 at each growth stage in both soil types. The fruit expansion stage showed the highest correlation at R(2) = 0.8363 in sandy loam and R(2) = 0.7611 in silt loam. VWC and CWSI(W) showed a negative relationship with a strong correlation at all the growth stages with R(2) values above 0.8 at p < 0.05 in both soil types. Similarly, the CWSI(W) and yield also showed a negative relationship and a strong correlation with R(2) values above 0.95, which indicated that increasing the CWSI(W) had a negative effect on the yield. However, the total marketable yield ranged from 2.02 to 6.8 kg plant(−1) in sandy loam soil and 1.75 to 5.4 kg plant(−1) in silty loam soil from a low to high CWSI(W). The highest mean marketable yield was obtained in sandy loam soil at 70–100% FC (0.0 < CWSI(W) ≤ 0.25), while the least-marketable yield was obtained in silty loam soil 40–50% FC (0.75 < CWSI(W) ≤ 1.0); hence, it is ideal for maintaining the crop water status between 0.0 < CWSI(W) ≤ 0.25 for the optimum yield. These experimental results proved that the WWARIC effectively assesses the crop water stress index (CWSI(W)) in tomatoes for mapping the yield and irrigation scheduling. MDPI 2021-07-29 /pmc/articles/PMC8347285/ /pubmed/34372375 http://dx.doi.org/10.3390/s21155142 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alordzinu, Kelvin Edom Li, Jiuhao Lan, Yubin Appiah, Sadick Amoakohene AL Aasmi, Alaa Wang, Hao Rapid Estimation of Crop Water Stress Index on Tomato Growth |
title | Rapid Estimation of Crop Water Stress Index on Tomato Growth |
title_full | Rapid Estimation of Crop Water Stress Index on Tomato Growth |
title_fullStr | Rapid Estimation of Crop Water Stress Index on Tomato Growth |
title_full_unstemmed | Rapid Estimation of Crop Water Stress Index on Tomato Growth |
title_short | Rapid Estimation of Crop Water Stress Index on Tomato Growth |
title_sort | rapid estimation of crop water stress index on tomato growth |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347285/ https://www.ncbi.nlm.nih.gov/pubmed/34372375 http://dx.doi.org/10.3390/s21155142 |
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