The Interactive Effects of Deficit Irrigation and Bacillus pumilus Inoculation on Growth and Physiology of Tomato Plant

Liu, Jie; Zhang, Jiarui; Shi, Qimiao; Liu, Xiangliang; Yang, Zhen‐Yu; Han, Pan; Li, Jingjing; Wei, Zhenhua; Hu, Tiantian; Liu, Fulai

doi:10.3390/plants12030670

Cited by 8 publications

(4 citation statements)

References 49 publications

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“…Additionally, the time-lag parameter between the Tc and Ta in winter wheat calculated by the four methods all experienced a significant sudden drop under the heavy water stress treatment. Pn, Tr, and gs all exhibited a decreasing trend with diminishing soil moisture [ 47 ], and a sudden drop occurred during the severe water stress treatment (T4) [ 2 ]. This phenomenon might be related to the soil moisture quench value [ 5 ].…”

Section: Discussionmentioning

confidence: 99%

Influence of Time-Lag Effects between Winter-Wheat Canopy Temperature and Atmospheric Temperature on the Accuracy of CWSI Inversion of Photosynthetic Parameters

Wang,

Lu,

Yang

et al. 2024

Plants

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When calculating the CWSI, previous researchers usually used canopy temperature and atmospheric temperature at the same time. However, it takes some time for the canopy temperature (Tc) to respond to atmospheric temperature (Ta), suggesting the time-lag effects between Ta and Tc. In order to investigate time-lag effects between Ta and Tc on the accuracy of the CWSI inversion of photosynthetic parameters in winter wheat, we conducted an experiment. In this study, four moisture treatments were set up: T1 (95% of field water holding capacity), T2 (80% of field water holding capacity), T3 (65% of field water holding capacity), and T4 (50% of field water holding capacity). We quantified the time-lag parameter in winter wheat using time-lag peak-seeking, time-lag cross-correlation, time-lag mutual information, and gray time-lag correlation analysis. Based on the time-lag parameter, we modified the CWSI theoretical and empirical models and assessed the impact of time-lag effects on the accuracy of the CWSI inversion of photosynthesis parameters. Finally, we applied several machine learning algorithms to predict the daily variation in the CWSI after time-lag correction. The results show that: (1) The time-lag parameter calculated using time-lag peak-seeking, time-lag cross-correlation, time-lag mutual information, and gray time-lag correlation analysis are 44–70, 32–44, 42–58, and 76–97 min, respectively. (2) The CWSI empirical model corrected by the time-lag mutual information method has the highest correlation with photosynthetic parameters. (3) GA-SVM has the highest prediction accuracy for the CWSI empirical model corrected by the time-lag mutual information method. Considering time lag effects between Ta and Tc effectively enhanced the correlation between CWSI and photosynthetic parameters, which can provide theoretical support for thermal infrared remote sensing to diagnose crop water stress conditions.

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Section: Discussionmentioning

confidence: 99%

Influence of Time-Lag Effects between Winter-Wheat Canopy Temperature and Atmospheric Temperature on the Accuracy of CWSI Inversion of Photosynthetic Parameters

Wang,

Lu,

Yang

et al. 2024

Plants

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show abstract

“…Additionally, the time lag parameter between Tc and Ta in winter wheat calculated by the four methods all experienced a significant sudden drop under the heavy water stress treatment. Pn, Tr, and gs all exhibited a decreasing trend with diminishing soil moisture (Liu et al 2023), and a sudden drop occurred in the heavy water stress treatment (T4) (Liu EK et al 2016). This phenomenon might be related to the soil moisture quench value (Carrasco-Benavides et al 2024).…”

Section: Time Lag Parameters Between Tc and Ta Calculated By Differen...mentioning

confidence: 93%

Influence of time lag effect between winter wheat canopy temperature and atmospheric temperature on the accuracy of CWSI inversion of photosynthetic parameters

Wang,

Lu,

Yang

et al. 2024

Preprint

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Aims Considering time lag effects between atmospheric temperature (Ta) and canopy temperature (Tc) may improve the accuracy of Crop Water Stress Index (CWSI) inversions of photosynthetic parameters, which is crucial for enhancing the precision in monitoring crop water stress conditions. Methods In this study, four moisture treatments were set up, T1 (95% of field water holding capacity), T2 (80% of field water holding capacity), T3 (65% of field water holding capacity), and T4 (50% of field water holding capacity). We quantified the time-lag parameter in winter wheat using time-lag peak-seeking, time-lag cross-correlation, time-lag mutual information, and grey time-lag correlation analysis; Based on the time lag parameter, we modified CWSI theoretical and empirical model, and assessed the impact of time lag effects on the accuracy of CWSI inversion of photosynthesis parameters. Finally, we applied several machine learning algorithms to predict the daily variation of CWSI after time-lag correction. Results The results showed that: (1) The time lag parameter calculated using the time-lag peak-seeking, time-lag cross-correlation, time-lag mutual information, and grey time-lag correlation an-alysis were 44–70, 32–44, 42–58, and 76–97 min. (2) CWSI empirical model corrected by the time-lag mutual information method had the highest correlation with photosynthetic parameters. (3) GA-SVM had the highest prediction accuracy for CWSI empirical model corrected by the time-lag mutual information method. Conclusions Considering time lag effects between Ta and Tc effectively enhanced the correlation between CWSI and photosynthetic parameters,which can provide theoretical support for thermal infrared remote sensing to diagnose crop water stress conditions.

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“…Also, the result is in accord with those of Sanjay and Asmita (2018) who clearly mentioned that application of Azotobacter resulted increase of shoot length and a greater number of leaves. It is quite possible that the beneficial effect of Azotobacter on tomato plants might be due partly to nitrogen fixation as nitrogen enrichment helps in vegetative growth of tomatoes (Liu et al, 2023).…”

Section: Figure 3 Effects Of Inoculants On Plants Heightmentioning

confidence: 99%

Impact of soil amendment using indigenous inoculants on tomato growth and yield parameters

Seweje TP,

Okoye CI,

Ideh RR

et al. 2023

GSC Adv. Res. Rev.

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Tomato (Lycopersicon esculentum mill) is one of the most important vegetable crops in the world. It is widely acknowledged that using composts and microbial inoculants as soil amendments, rather than industrialized fertilizer and raw manure, could improve soil nutrients, promote soil health and consequently improve crop yields. Global population increase necessitates increasing crop yields. Improvement and maintenance of soil fertility is essential via bio-augmentation in this economic recovery era. In this work, an open field experiment was conducted in other to study the "Yield Effects of Indigenous Microbial Inoculants on Tomato using autochthonous microbial consortia”. The experiment was laid in Randomized complete Block Design (RCBD) with three replicate consisted of six inoculants samples; Indigenous cultures viz; (A) Control, (B)Bacillus mucilaginosus (C) Azospirillum sp., (D) Azotobacter sp. (E) Commercial strains of the inoculants (F) Consortium of B, C and D. The various morphological features/yields parameters measured at intervals includes; no. of leaves, plant height, root length, accumulated dry matter and average fruit weight. The result shows that indigenous inoculants (F) increased tomato overall yield. This research is also of great significance for the development of management strategies for soil maintenance, environmental protection, and resource conservation in Nigeria where soil fertility is on the decrease due to over-use of land in other to achieve food security. From the result of the research, it can be concluded that soil augmentation with indigenous inoculants improves tomato morphological features and yields, hence should be preferred above their exotic commercial strain counterparts because of cost of importation/indigenous product development and GDP growth.

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The Interactive Effects of Deficit Irrigation and Bacillus pumilus Inoculation on Growth and Physiology of Tomato Plant

Cited by 8 publications

References 49 publications

Influence of Time-Lag Effects between Winter-Wheat Canopy Temperature and Atmospheric Temperature on the Accuracy of CWSI Inversion of Photosynthetic Parameters

Influence of Time-Lag Effects between Winter-Wheat Canopy Temperature and Atmospheric Temperature on the Accuracy of CWSI Inversion of Photosynthetic Parameters

Influence of time lag effect between winter wheat canopy temperature and atmospheric temperature on the accuracy of CWSI inversion of photosynthetic parameters

Impact of soil amendment using indigenous inoculants on tomato growth and yield parameters

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