Results 131 to 140 of about 3,203 (163)

Construction and Functional Validation of a Cross-Niche Multifunctional Microbial Consortium for Straw-Returning Agricultural Systems. [PDF]

Microorganisms
Jia S, Qu H, Li B, Chu J, Juan Y, Xing Y, Liu Y, Bao H, Sun W.   +8 more
europepmc   +1 more source

The current state of the use of DNA markers for improving the efficiency of rice breeding in Japan. [PDF]

Breed Sci
Goto A, Matsushita K, Yamanouchi U.
europepmc   +1 more source

Targeting OsRING80 enables resistance to rice blast without developmental costs. [PDF]

Plant Physiol
Teixeira M.
europepmc   +1 more source

A prebiotic-based biostimulant enhances growth parameters, photosynthetic efficiency, and grain yield in rice (<i>Oryza sativa</i> ssp. <i>japonica</i>). [PDF]

Front Plant Sci
Medina-Jiménez K, Hale B, Cerquera-Hernández C, Gesto-Borroto R, Lorence A.   +4 more
europepmc   +1 more source

Allele-informed QTL-seq identifies Hd18 as a minor modifier of heading date in elite rice cultivars. [PDF]

Plant Genome
Lee H, Kim M, Han J, Park HS, Lee SY, Mo Y.   +5 more
europepmc   +1 more source

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Effects of Protection Time on Infection of Rice Panicle Blast

Plant Disease
Panicle blast, caused by Magnaporthe oryzae, is a destructive disease of rice worldwide. Clarifying the susceptibility of rice panicles at different stages is of great significance for effective disease management. Field experiments were conducted in two paddy fields at Wuyuan County in 2016 and 2017 to determine the effects of head covering and its ...
Bo Wu, Fangfang Guo
exaly   +3 more sources

OsGF14e positively regulates panicle blast resistance in rice

Biochemical and Biophysical Research Communications, 2016
Though GF14e has been reported to negatively regulate bacterial blight and sheath blight resistance in rice, its effect on panicle blast, the most destructive disease in rice is still unknown. In the present study, we identified that GF14e was highly expressed in panicles and was induced in panicles infected by blast pathogen.
Qing, Liu, Jianyuan, Yang, Shaohong, Zhang, Junliang, Zhao, Aiqing, Feng, Tifeng, Yang, Xiaofei, Wang, Xingxue, Mao, Jingfang, Dong, Xiaoyuan, Zhu, Hei, Leung, Jan E, Leach, Bin, Liu   +12 more
openaire   +2 more sources

Research on Recognition of Rice Panicle Blast in Cold Region Based on UAV

2021
Rice blast is one of the major rice diseases recognized in the world, and it is also the most serious rice disease in Northeast China. This study is based on the natural disease in the field, using a six-rotor drone equipped with a six-channel multi-spectral camera Micro-MCA6 Snap to obtain multi-spectral data of the diseased field.
Jianqing Yuan, Weiwei Wang, Qiuju Zheng
openaire   +1 more source

Damage Analysis of Rice Panicle Blast on Disease Occurrence Time and Severity

Plant Pathology Journal, 2005
The structural differences between healthy and diseasedpanicle necks caused by Pyricularia oryzae were observed using electron-microscope. In the diseased panicle neck, the infection hyphae of the rice blast pathogen grew through the sclerenchymatous fiber tissue and reached to the central internal lacuna.
Hong-Sik Shim, Sung-Jun Hong, Wan-Hae Yeh, Seong-Sook Han, Jae-Mo Sung   +4 more
exaly   +3 more sources

Hyperspectral image analysis based on BoSW model for rice panicle blast grading

Computers and Electronics in Agriculture, 2015
A new BoSW model for hyperspectral image data representation is proposed.High-dimension hyperspectral image is reduced to a compact vector by BoSW model.Spatial and full-spectral information are jointly considered.Spectrum prototype is searched and counted to reflect the severity of panicle blast.Classification accuracy is up to 81.41% for six and 96 ...
Shuangping Huang, Long Qi, Xu Ma 0001, Kunnan Xue, Wenjuan Wang, Xiaoyuan Zhu   +5 more
openaire   +2 more sources