Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Zenglu Li"'
Autor:
Qijian Song, Charles Quigley, Ruifeng He, Dechun Wang, Henry Nguyen, Carrie Miranda, Zenglu Li
Publikováno v:
The Plant Genome, Vol 17, Iss 3, Pp n/a-n/a (2024)
Abstract SoySNP50K and SoySNP6K are commonly used for soybean (Glycine max) genotyping. The SoySNP50K assay has been used to genetically analyze the entire USDA Soybean Germplasm Collection, while the SoySNP6K assay, containing a subset of 6000 singl
Externí odkaz:
https://doaj.org/article/35dfd28f18884b548b84970f39c06836
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103790- (2024)
Pantana phyllostachysae Chao is a leaf-eating pest that poses a significant threat to bamboo forest health. Current research mainly focuses on statically identifying damage using remote sensing images. However, the mechanism behind the damage's trace
Externí odkaz:
https://doaj.org/article/7d614969417f44479fae83eaed7b5d87
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
Microbial communities play an important role in the growth and development of plants, including plant immunity and the decomposition of complex substances into absorbable nutrients. Hence, utilizing beneficial microbes becomes a promising strategy fo
Externí odkaz:
https://doaj.org/article/0b700ff2964245b6bd7554f66d33beca
Autor:
Lingyan Chen, Anqi He, Zhanghua Xu, Bin Li, Huafeng Zhang, Guantong Li, Xiaoyu Guo, Zenglu Li
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111564- (2024)
Moso bamboo (Phyllostachys pubescens) stands as a pivotal economic bamboo species globally, holding substantial potential for carbon sequestration. Accurate estimation of aboveground biomass (AGB) in Moso bamboo forests is crucial due to its close ti
Externí odkaz:
https://doaj.org/article/c57b3039263c4d2d9d2fe8b406177054
Publikováno v:
The Plant Genome, Vol 16, Iss 4, Pp n/a-n/a (2023)
Abstract Genomic selection has been utilized for genetic improvement in both plant and animal breeding and is a favorable technique for quantitative trait development. Within this study, genomic selection was evaluated within a breeding program, usin
Externí odkaz:
https://doaj.org/article/6a0784ffd86e42baace8408a35d36bff
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Soybean meal is a major component of livestock feed due to its high content and quality of protein. Understanding the genetic control of protein is essential to develop new cultivars with improved meal protein. Previously, a genomic region on chromos
Externí odkaz:
https://doaj.org/article/003305b87f3c45fdb2b7435b49f7524c
Autor:
Songyang Xiang, Zhanghua Xu, Wanling Shen, Lingyan Chen, Zhenbang Hao, Lin Wang, Zhicai Liu, Zenglu Li, Xiaoyu Guo, Huafeng Zhang
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Bamboo groves predominantly thrive in tropical or subtropical regions. Assessing the efficacy of remote sensing data of various types in extracting bamboo forest information from bright and shadow areas is a critical issue for achieving precise ident
Externí odkaz:
https://doaj.org/article/b8651849b3594727a55d7291af7f6f51
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-11 (2022)
Abstract Background Frogeye leaf spot is a disease of soybean, and there are limited sources of crop genetic resistance. Accurate quantification of resistance is necessary for the discovery of novel resistance sources, which can be accelerated by usi
Externí odkaz:
https://doaj.org/article/949aedf2656440ef82e732bb1783a665
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Improving yield is a primary soybean breeding goal, as yield is the main determinant of soybean’s profitability. Within the breeding process, selection of cross combinations is one of most important elements. Cross prediction will assist soybean br
Externí odkaz:
https://doaj.org/article/5998c9601062413182e4e3b818719446
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0285137 (2023)
Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction
Externí odkaz:
https://doaj.org/article/28b475411b58451b847ca3952e3586e8