Exploring the Feasibility of Winter Wheat Freeze Injury by Integrating Grey System Model with RS and GIS

Wang, Hui‐Fang; Guo, Wei; Wang, Jihua; Huang, Wen-jiang; Gu, Xiaohe; Dong, Yingying; Xu, Xingang

doi:10.1016/s2095-3119(13)60445-1

Cited by 11 publications

(7 citation statements)

References 6 publications

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“…DTIY was an integrated evaluation for crop drought tolerance (Lan et al, 1990 A grey relational analysis (GRA) was used to estimate the effect of the investigated parameters and identify the principal parameters in evaluating drought tolerance in sorghum. The method of GRA was initially applied by Deng (1989), and has been proved to be an effective way to explain the correlation between system behaviour (such as crop production) and relevant affecting factors (Li et al, 2007;Jia, Shao, 2013;Wang et al, 2013). ISSN 1392-3196 Zemdirbyste-Agriculture Vol.…”

Section: Methodsmentioning

confidence: 99%

“…Given that crop behaviour (such as drought tolerance) could be associated with multiple factors and be treated as a complicated system, the method of grey relational analysis (GRA) can be used to identify the primary factors that contribute to the drought tolerance. The GRA was initially applied by Deng (1989), and has been proved to be an effective way to explain the correlation between system behaviour (such as crop production) and relevant affecting factors (Li et al, 2007;Jia, Shao, 2013;Wang et al, 2013). Since the factors have different effects on crop behaviour, they can be assigned with different values to reflect their importance.…”

Section: Prioritization Of Feasible Physiological Parameters In Drougmentioning

confidence: 99%

“…Since the factors have different effects on crop behaviour, they can be assigned with different values to reflect their importance. Wang et al (2013) analyzed the habitat factors to discriminate which factor was closely associated with winter wheat freeze injury by using the method of GRA. However, little is known about the application of the method in evaluating the drought tolerance of sorghum.…”

Section: Prioritization Of Feasible Physiological Parameters In Drougmentioning

confidence: 99%

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Prioritization of feasible physiological parameters in drought tolerance evaluation in sorghum: a grey relational analysis

Wang

Wang²,

et al. 2015

Zemdirbyste-Agriculture

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Identification and evaluation of drought tolerant germplasm is the primary step for sorghum (Sorghum bicolor L. Moench) breeding and utilization under drought conditions. The objective of this study was to use a grey relational analysis to investigate the role of feasible physiological parameters in evaluating drought tolerance in sorghum. Four sorghum varieties were cultivated in pots with two water treatments, including normal watering (75-80% of the soil moisture capacity) and water deficit (45-50% of the soil moisture capacity), which occurred at jointing stage, anthesis and filling stage, respectively. Drought tolerance index of yield was used as the key indicator to evaluate sorghum performance under drought. The grey relational degree of the investigated parameters decreased in the order of transpiration rate, stomatal conductance, photosynthetic rate, soluble sugar content, proline content, relative water content, activity of catalase, activity of superoxide dismutase and activity of peroxidase, implying that drought tolerance for guaranteeing sorghum yield formation was the most related to gas exchange parameters. Water content was a very sensitive parameter of plant growth under drought stress and was more important as compared to the activities of antioxidant enzymes. Results of this research suggested that feasible physiological parameters could be used in the evaluation of drought tolerance to improve the efficiency and accuracy of selection.

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Section: Methodsmentioning

confidence: 99%

Section: Prioritization Of Feasible Physiological Parameters In Drougmentioning

confidence: 99%

Section: Prioritization Of Feasible Physiological Parameters In Drougmentioning

confidence: 99%

See 1 more Smart Citation

Prioritization of feasible physiological parameters in drought tolerance evaluation in sorghum: a grey relational analysis

Wang

Wang²,

et al. 2015

Zemdirbyste-Agriculture

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“…Cereals (e.g., maize and wheat) (Wang et al, 2013;Wang et al, 2019) and economic plantings (e.g., beech, apple, coffee and tea) (Susan et al, 2018;László et al, 2019) have been shown to be vulnerable to frost, with different performance characteristics and mechanisms in response to frost. For example, serious frost caused by an extreme cold event has been witnessed after an earlier growing season onset, resulting in considerable loss of fruit tree yield and quality (Frederiks et al, 2015;Crimp et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Process-based indicators for timely identification of apricot frost disaster on the warm temperate zone, China

Yang

Huo

Wang

et al. 2021

Theor Appl Climatol

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Frequent occurrences of extreme cold weather processes create severe agricultural/forest frost events, even given the background of global warming. In the warm temperate zone of China, which is the largest planting area for fresh apricot, late spring frost disaster has become one of the major meteorological hazards during flowering. To prevent cold weather-induced apricot frost events and reduce potential losses in related fruit economic value, it is vital to establish a meteorological indicator for timely and accurate identification of cold weather process-based apricot frost events, to provide support for timely apricot frost monitoring and warning in late spring. In this study, daily minimax temperature (𝑇 𝑚𝑖𝑛 ) and apricot frost disaster data during flowering were combined to establish meteorological identification indicators of apricot frost based on cold weather processes.A process-based apricot frost model 𝑓(𝐷, 𝑇 𝑐𝑢𝑚 ) was firstly constructed, and characteristics of 𝑇 𝑐𝑢𝑚 (accumulated harmful temperature) were explored under different D (duration days) based on the representation of historical apricot frost processes. Thresholds for the 𝑇 𝑐𝑢𝑚 for apricot frost in 1, 2, 3, 4 and more than 5 days of apricot frost process were determined as -1.51, -2.92, -4.39, -5.84

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“…For the large-scale measurement of freezing injury, remote sensing can potentially measure freezing injury [ 15 ]. Remote sensing monitoring was used to assess the freezing injury of spring wheat, summer maize [ 16 ], and winter wheat [ 17 ] in Ningxia. To systematically evaluate the severity of winter wheat freezing injury, Wang et al [ 18 ] proposed a grey system model (GSM) to monitor the extent and distribution of winter wheat freezing injury.…”

Section: Introductionmentioning

confidence: 99%

A method for obtaining field wheat freezing injury phenotype based on RGB camera and software control

Bai

Zhou

et al. 2021

Plant Methods

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Background Low temperature freezing stress has adverse effects on wheat seedling growth and final yield. The traditional method to evaluate the wheat injury caused by the freezing stress is by visual observations, which is time-consuming and laborious. Therefore, a more efficient and accurate method for freezing damage identification is urgently needed. Results A high-throughput phenotyping system was developed in this paper, namely, RGB freezing injury system, to effectively and efficiently quantify the wheat freezing injury in the field environments. The system is able to automatically collect, processing, and analyze the wheat images collected using a mobile phenotype cabin in the field conditions. A data management system was also developed to store and manage the original images and the calculated phenotypic data in the system. In this experiment, a total of 128 wheat varieties were planted, three nitrogen concentrations were applied and two biological and technical replicates were performed. And wheat canopy images were collected at the seedling pulling stage and three image features were extracted for each wheat samples, including ExG, ExR and ExV. We compared different test parameters and found that the coverage had a greater impact on freezing injury. Therefore, we preliminarily divided four grades of freezing injury according to the test results to evaluate the freezing injury of different varieties of wheat at the seedling stage. Conclusions The automatic phenotypic analysis method of freezing injury provides an alternative solution for high-throughput freezing damage analysis of field crops and it can be used to quantify freezing stress and has guiding significance for accelerating the selection of wheat excellent frost resistance genotypes.

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Exploring the Feasibility of Winter Wheat Freeze Injury by Integrating Grey System Model with RS and GIS

Cited by 11 publications

References 6 publications

Prioritization of feasible physiological parameters in drought tolerance evaluation in sorghum: a grey relational analysis

Prioritization of feasible physiological parameters in drought tolerance evaluation in sorghum: a grey relational analysis

Process-based indicators for timely identification of apricot frost disaster on the warm temperate zone, China

A method for obtaining field wheat freezing injury phenotype based on RGB camera and software control

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