Effects of submergence stress at the vegetative growth stage on hybrid rice growth and grain yield in China

Chen, Yutiao; Song, Jiayu; Yan, Chuan; Hong, Xiumei

doi:10.4067/s0718-58392021000200191

Cited by 9 publications

(9 citation statements)

References 27 publications

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“…This kind of information is valuable for buyers and processors as they can adjust their exporting volume or arrange other procurement channels to cover the loss when a decrease in production is predicted. This information is also helpful in policy making towards sustainable production for future years [57]. For example, the government or international organizations can monitor whether the coastal areas have been developed for aquaculture use illegally and if so, to what extent.…”

Section: Discussion On Monitoring Shrimp Ponds Using Rs Technologymentioning

confidence: 99%

Assessing Spatiotemporal differences in Shrimp ponds using Remote sensing data and Machine learning algorithms

Bellam¹,

Gumma²,

Panjala³

et al. 2023

Preprint

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Shrimp farming and exporting is the main income source for the southern coastal districts of the Mekong delta. Monitoring these shrimp ponds is helpful in identifying losses incurred due to natural calamities like floods, sources of water pollution by chemicals used in shrimp farming, and changes in the area of cultivation with an increase in demand for shrimp production. Satellite imagery, which is consistent with good spatial resolution and helpful in providing frequent information with temporal imagery, is a better solution for monitoring these shrimp ponds remotely for larger spatial extent. The shrimp ponds of Cai Doi Vam Township, Ca Mau Province, Viet Nam were mapped using DMC-3 (TripleSat) and Jilin-1 high-resolution satellite imagery for years of 2019 and 2022. The 3m spatial resolution shrimp pond extent product showed an overall accuracy of 87.5% with a producer’s accuracy of 90.91% (errors of omission = 11.09%), and a user’s accuracy of 90.91% (errors of commission = 11.09%) for the shrimp pond class. It was noted that 66 ha of shrimp ponds in 2019 were observed to be dry in 2022, and 39 ha of other ponds had been converted into shrimp ponds in 2022. The continuous monitoring of shrimp ponds helps achieve sustainable aquaculture and acts as crucial input for the decision-makers for any interventions.

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Section: Discussion On Monitoring Shrimp Ponds Using Rs Technologymentioning

confidence: 99%

Assessing Spatiotemporal differences in Shrimp ponds using Remote sensing data and Machine learning algorithms

Bellam¹,

Gumma²,

Panjala³

et al. 2023

Preprint

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“…Increased temperature significantly affects the growth and quality of rice varieties in India and the Himalayan region [36]. Sustained high temperatures reduce rice quality and grain weight [37]. The experiment analyzed the allocation of climate resources, production efficiency and comprehensive effects.…”

Section: Quantitative Evaluation Of the Allocation And Production Of ...mentioning

confidence: 99%

Improvement of Climate Resource Utilization in the Southwestern Hilly Region through the Construction of a New Multi-Maturing Cropping System

Kong,

Li,

Zhang

et al. 2024

Agronomy

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The construction of an appropriate cropping pattern is crucial for the improvement of regional agricultural economic efficiency and sustainable development. Despite previous efforts, there remains a gap in optimizing cropping patterns that fully leverage climate resources to enhance production efficiency. This study addresses this gap by systematically comparing the differences in climate resource allocation, production efficiency and crop response among models by constructing four new triple-maturing cropping models at typical ecological sites in the hilly areas of southwest China. To solve the above problems, we constructed eight cropping patterns and classified them to three as follows: the Traditional Double Cropping System, the Traditional Triple Cropping System, the Novel Triple Cropping System. The results showed that the new multi-maturing planting pattern was significantly better than the traditional two-maturing netting pattern and the traditional three-maturing planting pattern in terms of light, temperature and water productivity. Compared with the traditional two-maturity net cropping model and the traditional three-maturity cropping model, the new cropping model increased light energy productivity by 97.88% and 50.00%, respectively; light energy use by an average of 0.48% and 0.31%; cumulative temperature productivity by an average of 84.70% and 49.14%; and rainfall productivity by an average of 101.04% and 49.61%. An assessment of the light, temperature and water meteorological resource use efficiency of the different treatments showed that the resource use efficiency of the new multi-maturing planting pattern was on average 111.58% and 74.78% higher than that of the traditional two-maturing net planting pattern and the traditional three-maturing planting pattern, with the T6 pattern having the highest resource use efficiency. The new multi-ripening cropping pattern has demonstrated production stability in response to changes in light, temperature and water resources, better adapting to weekly climate changes, stabilizing yields and improving efficiency. In summary, the results of this study can provide a theoretical basis for optimizing cropping patterns and promoting the use of climate resources in agriculture and sustainable development. Future research should focus on further refining these models, exploring their adaptability to various climatic conditions, and evaluating their long-term economic and environmental impacts.

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“…Flooding stress is a serious form of abiotic stress and it can cause yield losses (Table 1) of up to 70% [84]. However, yield losses largely depend on the stage of plant growth (Table 1) and the intensity of flooding stress [54,[85][86][87][88][89][90]. For instance, Ploschuk et al [91] reported that flooding stress at the vegetative growth stages in barley and canola caused more yield losses as compared to flooding stress at the reproductive stage.…”

Section: Crop Yieldmentioning

confidence: 99%

Plant Adaptation to Flooding Stress under Changing Climate Conditions: Ongoing Breakthroughs and Future Challenges

Aslam,

Mahmood,

Ur-Rehman

et al. 2023

Plants

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Climate-change-induced variations in temperature and rainfall patterns are a serious threat across the globe. Flooding is the foremost challenge to agricultural productivity, and it is believed to become more intense under a changing climate. Flooding is a serious form of stress that significantly reduces crop yields, and future climatic anomalies are predicted to make the problem even worse in many areas of the world. To cope with the prevailing flooding stress, plants have developed different morphological and anatomical adaptations in their roots, aerenchyma cells, and leaves. Therefore, researchers are paying more attention to identifying developed and adopted molecular-based plant mechanisms with the objective of obtaining flooding-resistant cultivars. In this review, we discuss the various physiological, anatomical, and morphological adaptations (aerenchyma cells, ROL barriers (redial O2 loss), and adventitious roots) and the phytohormonal regulation in plants under flooding stress. This review comprises ongoing innovations and strategies to mitigate flooding stress, and it also provides new insights into how this knowledge can be used to improve productivity in the scenario of a rapidly changing climate and increasing flood intensity.

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Effects of submergence stress at the vegetative growth stage on hybrid rice growth and grain yield in China

Cited by 9 publications

References 27 publications

Assessing Spatiotemporal differences in Shrimp ponds using Remote sensing data and Machine learning algorithms

Assessing Spatiotemporal differences in Shrimp ponds using Remote sensing data and Machine learning algorithms

Improvement of Climate Resource Utilization in the Southwestern Hilly Region through the Construction of a New Multi-Maturing Cropping System

Plant Adaptation to Flooding Stress under Changing Climate Conditions: Ongoing Breakthroughs and Future Challenges

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