Brittleness culm is an important agronomic trait that has a potential usefulness in agricultural activity as animal forage. In the present study, the anatomy of culm of rice (Oryza sativa L.) brittle mutant bc7(t) was investigated with light microscopy and electron microscopy. Findings showed bc7(t) exhibited higher area percentages of mechanical and conducting tissues, and lower cell wall thickness of sclerenchyma cells. Chemical analyses and 13C CP/MAS NMR spectra of cell walls indicated that the content of cellulose decreased, and the contents of hemicellulose, lignin and silicon was increased in bc7(t). Lignin histochemical staining and cytochemical localisation revealed that the higher lignin was localised in epidermal, sclerenchyma and vascular bundle cells in bc7(t). The energy dispersive X-ray microanalysis showed that the contents of silicon were higher in bc7(t) than in the wild type. These results indicate that cellulose, hemicellulose, lignin, silicon and the area percentages of mechanical and conducting tissues could be regulated in a compensatory fashion, possibly contributing to metabolic flexibility and a growth advantage to sustain the bc7(t) normal growth habit like the wild-type plant.
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http://dx.doi.org/10.1071/FP10235 | DOI Listing |
Plant J
March 2025
Department of Applied Biosciences, Kyungpook National University, Daegu, 41566, Republic of Korea.
Rice is a staple food for billions of people but also a major source of methane emissions, contributing approximately 10% of global agricultural methane. Therefore, this study aimed to conduct a correlation analysis of various traits gathered from years of research on the 120 Cheongcheong Nagdong Double Haploid (CNDH) population to identify key traits responsible for methane emission in rice. This study focused on practical plant traits, including culm length, spikelets per panicle, and grain weight, which have a positive correlation with methane emission.
View Article and Find Full Text PDFPlant Mol Biol
February 2025
College of Juncao Science and Ecology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China.
The root is one of the most important organs that determines the final grain yield in rice. Auxin is essential for root development in plants. Rice auxin response factor7 (OsARF7), belonging to the ARF family, is a key regulator of root development.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Jilin Province Green and High Quality Japonica Rice Engineering Research Center, Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China.
Silicon (Si) has been proven to enhance the stress resistance of rice, but its effect on the lodging resistance of rice under dry cultivation (DCR) is still unclear. The purpose of this experiment is to clarify the appropriate amount of silicon fertilizer for DCR to resist lodging and to elucidate how it coordinates lodging resistance and yield. This experiment used the 'Suigeng 18' cultivar as the material and set six silicon fertilizers (SiO) with dosages of 0, 15, 30, 45, 60, and 75 kg·ha (Si0, Si1, Si2, Si3, Si4, Si5).
View Article and Find Full Text PDFPlants (Basel)
January 2025
Division of Horticultural Biotechnology, Hankyong National University, Anseong 17579, Republic of Korea.
We generated and characterized knockout mutant lines of the gene using the CRISPR/Cas9 system. The knockout lines of the gene showed that 1 bp and 7 bp deletion, early termination codons were used for protein production. Agronomic characteristics of knock-out lines were reduced in plant height, culm diameter, panicle length, seed size and weight, except for the number of tillers.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Institute of Crop Science, NARO, Tsukuba, Japan.
Unmanned aerial vehicles (UAVs) are one of the most effective tools for crop monitoring in the field. Time-series RGB and multispectral data obtained with UAVs can be used for revealing changes of three-dimensional growth. We previously showed using a rice population with our regular cultivation protocol that canopy height (CH) parameters extracted from time-series RGB data are useful for predicting manually measured traits such as days to heading (DTH), culm length (CL), and aboveground dried weight (ADW).
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