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Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum

An accurate assessment of vegetable yield is essential for agricultural production and management. One approach to estimate yield with remote sensing is via vegetation indices, which are selected in a statistical and empirical approach, rather than a mechanistic way. This study aimed to estimate the...

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Autores principales: He, Yiyin, Wang, Zhao, Sun, Sashuang, Zhu, Lijun, Li, Yu, Wang, Xiaoxiao, Shi, Jiang, Chen, Si, Qi, Dunchang, Peng, Junxiang, Zhou, Zhenjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544932/
https://www.ncbi.nlm.nih.gov/pubmed/37790780
http://dx.doi.org/10.3389/fpls.2023.1208404
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author He, Yiyin
Wang, Zhao
Sun, Sashuang
Zhu, Lijun
Li, Yu
Wang, Xiaoxiao
Shi, Jiang
Chen, Si
Qi, Dunchang
Peng, Junxiang
Zhou, Zhenjiang
author_facet He, Yiyin
Wang, Zhao
Sun, Sashuang
Zhu, Lijun
Li, Yu
Wang, Xiaoxiao
Shi, Jiang
Chen, Si
Qi, Dunchang
Peng, Junxiang
Zhou, Zhenjiang
author_sort He, Yiyin
collection PubMed
description An accurate assessment of vegetable yield is essential for agricultural production and management. One approach to estimate yield with remote sensing is via vegetation indices, which are selected in a statistical and empirical approach, rather than a mechanistic way. This study aimed to estimate the dry matter of Choy Sum by both a causality-guided intercepted radiation-based model and a spectral reflectance-based model and compare their performance. Moreover, the effect of nitrogen (N) rates on the radiation use efficiency (RUE) of Choy Sum was also evaluated. A 2-year field experiment was conducted with different N rate treatments (0 kg/ha, 25 kg/ha, 50 kg/ha, 100 kg/ha, 150 kg/ha, and 200 kg/ha). At different growth stages, canopy spectra, photosynthetic active radiation, and canopy coverage were measured by RapidScan CS-45, light quantum sensor, and camera, respectively. The results reveal that exponential models best match the connection between dry matter and vegetation indices, with coefficients of determination (R(2)) all below 0.80 for normalized difference red edge (NDRE), normalized difference vegetation index (NDVI), red edge ratio vegetation index (RERVI), and ratio vegetation index (RVI). In contrast, accumulated intercepted photosynthetic active radiation (Aipar) showed a significant linear correlation with the dry matter of Choy Sum, with root mean square error (RMSE) of 9.4 and R(2) values of 0.82, implying that the Aipar-based estimation model performed better than that of spectral-based ones. Moreover, the RUE of Choy Sum was significantly affected by the N rate, with 100 kg N/ha, 150 kg N/ha, and 200 kg N/ha having the highest RUE values. The study demonstrated the potential of Aipar-based models for precisely estimating the dry matter yield of vegetable crops and understanding the effect of N application on dry matter accumulation of Choy Sum.
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spelling pubmed-105449322023-10-03 Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum He, Yiyin Wang, Zhao Sun, Sashuang Zhu, Lijun Li, Yu Wang, Xiaoxiao Shi, Jiang Chen, Si Qi, Dunchang Peng, Junxiang Zhou, Zhenjiang Front Plant Sci Plant Science An accurate assessment of vegetable yield is essential for agricultural production and management. One approach to estimate yield with remote sensing is via vegetation indices, which are selected in a statistical and empirical approach, rather than a mechanistic way. This study aimed to estimate the dry matter of Choy Sum by both a causality-guided intercepted radiation-based model and a spectral reflectance-based model and compare their performance. Moreover, the effect of nitrogen (N) rates on the radiation use efficiency (RUE) of Choy Sum was also evaluated. A 2-year field experiment was conducted with different N rate treatments (0 kg/ha, 25 kg/ha, 50 kg/ha, 100 kg/ha, 150 kg/ha, and 200 kg/ha). At different growth stages, canopy spectra, photosynthetic active radiation, and canopy coverage were measured by RapidScan CS-45, light quantum sensor, and camera, respectively. The results reveal that exponential models best match the connection between dry matter and vegetation indices, with coefficients of determination (R(2)) all below 0.80 for normalized difference red edge (NDRE), normalized difference vegetation index (NDVI), red edge ratio vegetation index (RERVI), and ratio vegetation index (RVI). In contrast, accumulated intercepted photosynthetic active radiation (Aipar) showed a significant linear correlation with the dry matter of Choy Sum, with root mean square error (RMSE) of 9.4 and R(2) values of 0.82, implying that the Aipar-based estimation model performed better than that of spectral-based ones. Moreover, the RUE of Choy Sum was significantly affected by the N rate, with 100 kg N/ha, 150 kg N/ha, and 200 kg N/ha having the highest RUE values. The study demonstrated the potential of Aipar-based models for precisely estimating the dry matter yield of vegetable crops and understanding the effect of N application on dry matter accumulation of Choy Sum. Frontiers Media S.A. 2023-09-18 /pmc/articles/PMC10544932/ /pubmed/37790780 http://dx.doi.org/10.3389/fpls.2023.1208404 Text en Copyright © 2023 He, Wang, Sun, Zhu, Li, Wang, Shi, Chen, Qi, Peng and Zhou https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
He, Yiyin
Wang, Zhao
Sun, Sashuang
Zhu, Lijun
Li, Yu
Wang, Xiaoxiao
Shi, Jiang
Chen, Si
Qi, Dunchang
Peng, Junxiang
Zhou, Zhenjiang
Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
title Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
title_full Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
title_fullStr Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
title_full_unstemmed Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
title_short Using crop intercepted solar radiation and vegetation index to estimate dry matter yield of Choy Sum
title_sort using crop intercepted solar radiation and vegetation index to estimate dry matter yield of choy sum
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544932/
https://www.ncbi.nlm.nih.gov/pubmed/37790780
http://dx.doi.org/10.3389/fpls.2023.1208404
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