Ratoon Rice System of Production: A Rapid Growth Pattern of Multiple Cropping in China: A Review

Wu, Wenge; Li, Zhong; Xi, Min; Tu, Debao; Xu, Youzun; Zhou, Yongjin; Zhang, Zhixing

doi:10.3390/plants12193446

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…Plants in the ratoon crop were grown and headed from the dormant buds on the rice stubble of the main crop. Therefore, part of their nutrients in the early stage came from the absorption of the old roots in the main crop and the accumulation and translocation of rice stubble, and the plant then relied on new roots to absorb nutrients ( Wu et al., 2023 ). In the current study, the dry matter weight of organs in each growth stage of the ratoon crop generally increased with the extension of the growth duration of the varieties, and the dry matter weight of grains spikelet among varieties with different growth duration was significantly different.…”

Section: Discussionmentioning

confidence: 99%

Difference in Cd accumulation among varieties with different growth duration corresponding to typical agro-climate condition in rice ratooning system

Yuan,

Jiang,

Chen

et al. 2024

Front. Plant Sci.

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IntroductionThe ratoon rice planting area is gradually expanding, but there has been relatively little research on ratoon rice grains contaminated with Cd.MethodsIn this study, five ratoon rice varieties were selected and divided into three groups according to early-maturity (growth duration: 100–110 days), mid-maturity (growth duration: 110–120 days) and late-maturity (growth duration: 120–130 days) varieties. Field experiments were done to study the differences in Cd accumulation among ratoon rice varieties with different growth duration.ResultsThe results showed that the Cd accumulation and concentration of grains spikelet at each growth stage in the main crop were in the order of late-maturity > mid-maturity > early-maturity varieties. However, the trends in Cd concentration and accumulation in grains spikelet during the ratoon crop were the opposite. Analysis found that as the growth duration of the variety extended, the accumulated temperature and daily average temperature in the main crop increased, which significantly increased the translocation factors of Cd from root, stem, and leaf to grains spikelet, and increased the daily average Cd accumulation rate in grains spikelet. The daily average temperature in the ratoon crop increased as the growth duration shortened. The early-maturity variety had higher Cd accumulation in stubble, which promoted the translocation of Cd from the root, stem, and leaf of the plant to the grains spikelet.DiscussionTherefore, appropriately shortening the growth duration of the main crop and extending the growth duration of the ratoon crop are important ways to reduce Cd accumulation in ratoon rice in areas with mild Cd pollution.

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Section: Discussionmentioning

confidence: 99%

Difference in Cd accumulation among varieties with different growth duration corresponding to typical agro-climate condition in rice ratooning system

Yuan,

Jiang,

Chen

et al. 2024

Front. Plant Sci.

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“…The production rate of ratoon rice depends on different factors such as variety selection, sowing time, stubble height, and the growth status of the ratoon spikelet [ 3 ]. The ratoon spikelet consists of an outgrowth of the axillary bud and tillering at the base.…”

Section: Introductionmentioning

confidence: 99%

Comparative Transcriptome Analysis Reveals Inhibitory Roles of Strigolactone in Axillary Bud Outgrowth in Ratoon Rice

Ku,

Su,

Peng

et al. 2024

Plants

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Axillary bud outgrowth, a key factor in ratoon rice yield formation, is regulated by several phytohormone signals. The regulatory mechanism of key genes underlying ratoon buds in response to phytohormones in ratoon rice has been less reported. In this study, GR24 (a strigolactone analogue) was used to analyze the ratooning characteristics in rice cultivar Huanghuazhan (HHZ). Results show that the elongation of the axillary buds in the first seasonal rice was significantly inhibited and the ratoon rate was reduced at most by up to 40% with GR24 treatment. Compared with the control, a significant reduction in the content of auxin and cytokinin in the second bud from the upper spike could be detected after GR24 treatment, especially 3 days after treatment. Transcriptome analysis suggested that there were at least 742 and 2877 differentially expressed genes (DEGs) within 6 h of GR24 treatment and 12 h of GR24 treatment, respectively. Further bioinformatics analysis revealed that GR24 treatment had a significant effect on the homeostasis and signal transduction of cytokinin and auxin. It is noteworthy that the gene expression levels of OsCKX1, OsCKX2, OsGH3.6, and OsGH3.8, which are involved in cytokinin or auxin metabolism, were enhanced by the 12 h GR24 treatment. Taken overall, this study showed the gene regulatory network of auxin and cytokinin homeostasis to be regulated by strigolactone in the axillary bud outgrowth of ratoon rice, which highlights the importance of these biological pathways in the regulation of axillary bud outgrowth in ratoon rice and would provide theoretical support for the molecular breeding of ratoon rice.

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“…Recently, there has been a significant shift towards mechanization in rice production. This evolution has been crucial in increasing productivity and efficiency while simultaneously reducing both operational costs and labor reliance in rice cultivation practices [2].…”

Section: Introduction and Related Work 1introductionmentioning

confidence: 99%

Evaluation Model of Rice Seedling Production Line Seeding Quality Based on Deep Learning

Liu,

He,

Cao

et al. 2024

Applied Sciences

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A critical precondition for realizing mechanized transplantation in rice cultivation is the implementation of seedling tray techniques. To augment the efficacy of seeding, a precise evaluation of the quality of rice seedling cultivation in these trays is imperative. This research centers on the analysis of rice seedling tray images, employing deep learning as the foundational technology. The aim is to construct a computational model capable of autonomously evaluating seeding quality within the ambit of intelligent seedling cultivation processes. This study proposes a virtual grid-based image segmentation preprocessing method. It involves dividing the complete image of a rice seedling tray into several grid images. These grid images are then classified and marked using an improved ResNet50 model that integrates the SE attention mechanism with the Adam optimizer. Finally, the objective of detecting missing seeding areas is achieved by reassembling the marked grid images. The experimental results demonstrate that the improved ResNet50 model, integrating the SE attention mechanism and employing an initial learning rate of 0.01 over 50 iterations, attains a test set accuracy of 95.82%. This accuracy surpasses that of the AlexNet, DenseNet, and VGG16 models by respective margins of 4.55%, 2.07%, and 2.62%. This study introduces an innovative model for the automatic assessment of rice seeding quality. This model is capable of rapidly evaluating the seeding quality during the seedling phase; precisely identifying the locations of missing seeds in individual seedling trays; and effectively calculating the missing seed rate for each tray. Such precision in assessment is instrumental for optimizing seedling processes

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Ratoon Rice System of Production: A Rapid Growth Pattern of Multiple Cropping in China: A Review

Cited by 4 publications

References 43 publications

Difference in Cd accumulation among varieties with different growth duration corresponding to typical agro-climate condition in rice ratooning system

Difference in Cd accumulation among varieties with different growth duration corresponding to typical agro-climate condition in rice ratooning system

Comparative Transcriptome Analysis Reveals Inhibitory Roles of Strigolactone in Axillary Bud Outgrowth in Ratoon Rice

Evaluation Model of Rice Seedling Production Line Seeding Quality Based on Deep Learning

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