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Yuting Huang
Researcher at South China Agricultural University
Publications - 4
Citations - 71
Yuting Huang is an academic researcher from South China Agricultural University. The author has contributed to research in topics: Population & Molecular breeding. The author has an hindex of 2, co-authored 3 publications receiving 38 citations.
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Journal ArticleDOI
Development of a core SNP arrays based on the KASP method for molecular breeding of rice
Guili Yang,Siping Chen,Likai Chen,Kai Sun,Huang Cuihong,Zhou Danhua,Yuting Huang,Jiafeng Wang,Yongzhu Liu,Hui Wang,Zhiqiang Chen,Tao Guo +11 more
TL;DR: The core KASP arrays developed in this study were efficient and versatile for rice germplasm assessment, genetic diversity and population evaluation and are valuable for promoting SNP molecular breeding in rice.
Journal ArticleDOI
Development and utilization of functional KASP markers to improve rice eating and cooking quality through MAS breeding
Guili Yang,Siping Chen,Likai Chen,Weiwei Gao,Yuting Huang,Huang Cuihong,Zhou Danhua,Jiafeng Wang,Yongzhu Liu,Ming Huang,Wuming Xiao,Hui Wang,Tao Guo,Zhiqiang Chen +13 more
TL;DR: Developing functional markers based on the Kompetitive Allele-Specific PCR (KASP) method for three principal genes, Wx, BADH2 and ALK, affecting ECQ in rice showed that the functional KASP markers could effectively distinguish the different alleles.
Journal ArticleDOI
Identification and candidate gene screening of qCIR9.1, a novel QTL associated with anther culturability in rice (Oryza sativa L.)
Huang Cuihong,Jian Zhang,Zhou Danhua,Yuting Huang,Ling Su,Guili Yang,Luo Wenlong,Zhiqiang Chen,Hui Wang,Tao Guo +9 more
TL;DR: In this article, a quantitative trait loci (QTL) responsible for anther culturability was identified on chromosome 9 in rice, and based on RNA-seq data, Os09g0551600 was the most promising candidate gene.
Journal ArticleDOI
Integrating ecosystem services and complex network theory to construct and optimize ecological security patterns: a case study of Guangdong-Hong Kong-Macao Greater Bay Area, China
TL;DR: Zhang et al. as mentioned in this paper provided a completely scientific framework for the construction and management of ecological security pattern (ESP) in urban agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by simulating multiple ESP weight assignment scenarios through GeoSOS area optimization.