Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Mang Liang"'
Autor:
Keanning Li, Bingxing An, Mang Liang, Tianpeng Chang, Tianyu Deng, Lili Du, Sheng Cao, Yueying Du, Hongyan Li, Lingyang Xu, Lupei Zhang, Xue Gao, Junya LI, Huijiang Gao
Publikováno v:
Journal of Integrative Agriculture, Vol 23, Iss 5, Pp 1634-1643 (2024)
Presently, integrating multi-omics information into a prediction model has become a ameliorate strategy for genomic selection to improve genomic prediction accuracy. Here, we set the genomic and transcriptomic data as the training population data, us
Externí odkaz:
https://doaj.org/article/174d1302262e4897b4aa7669990028b7
Autor:
Tianyu Deng, Keanning Li, Lili Du, Mang Liang, Li Qian, Qingqing Xue, Shiyuan Qiu, Lingyang Xu, Lupei Zhang, Xue Gao, Xianyong Lan, Junya Li, Huijiang Gao
Publikováno v:
Animals, Vol 14, Iss 11, p 1695 (2024)
Complex traits are widely considered to be the result of a compound regulation of genes, environmental factors, and genotype-by-environment interaction (G × E). The inclusion of G × E in genome-wide association analyses is essential to understand a
Externí odkaz:
https://doaj.org/article/e1253c5ef77f45fdb9df57ff62c542a7
Autor:
Mang Liang, Bingxing An, Tianpeng Chang, Tianyu Deng, Lili Du, Keanning Li, Sheng Cao, Yueying Du, Lingyang Xu, Lupei Zhang, Xue Gao, Junya Li, Huijiang Gao
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Background Genomic selection (GS) has revolutionized animal and plant breeding after the first implementation via early selection before measuring phenotypes. Besides genome, transcriptome and metabolome information are increasingly consider
Externí odkaz:
https://doaj.org/article/166382f0fcab4ba79de31f7559573a7f
Autor:
Mang Liang, Bingxing An, Tianyu Deng, Lili Du, Keanning Li, Sheng Cao, Yueying Du, Lingyang Xu, Lupei Zhang, Xue Gao, Yang Cao, Yuming Zhao, Junya Li, Huijiang Gao
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
Locating the genetic variation of important livestock and poultry economic traits is essential for genetic improvement in breeding programs. Identifying the candidate genes for the productive ability of Huaxi cattle was one crucial element for practi
Externí odkaz:
https://doaj.org/article/66d58d4f45264bdf89739bf97f6acf54
Autor:
Lili Du, Tianpeng Chang, Bingxing An, Mang Liang, Xinghai Duan, Wentao Cai, Bo Zhu, Xue Gao, Yan Chen, Lingyang Xu, Lupei Zhang, Junya Li, Huijiang Gao
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of
Externí odkaz:
https://doaj.org/article/807e7b0a526e4c28b17663279f2cce7b
Autor:
Mang Liang, Bingxing An, Keanning Li, Lili Du, Tianyu Deng, Sheng Cao, Yueying Du, Lingyang Xu, Xue Gao, Lupei Zhang, Junya Li, Huijiang Gao
Publikováno v:
Biology, Vol 11, Iss 11, p 1647 (2022)
Depending on excellent prediction ability, machine learning has been considered the most powerful implement to analyze high-throughput sequencing genome data. However, the sophisticated process of tuning hyperparameters tremendously impedes the wider
Externí odkaz:
https://doaj.org/article/41e07fee139348bdae5abb1f9ab9497f
Autor:
Tianpeng Chang, Bingxing An, Mang Liang, Xinghai Duan, Lili Du, Wentao Cai, Bo Zhu, Xue Gao, Yan Chen, Lingyang Xu, Lupei Zhang, Huijiang Gao, Junya Li
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Cattle (Bos taurus) is one of the most widely distributed livestock species in the world, and provides us with high-quality milk and meat which have a huge impact on the quality of human life. Therefore, accurate and complete transcriptome and genome
Externí odkaz:
https://doaj.org/article/5db086f454bb49cc96c4185ad8c8519f
Autor:
Mang Liang, Tianpeng Chang, Bingxing An, Xinghai Duan, Lili Du, Xiaoqiao Wang, Jian Miao, Lingyang Xu, Xue Gao, Lupei Zhang, Junya Li, Huijiang Gao
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Machine learning (ML) is perhaps the most useful tool for the interpretation of large genomic datasets. However, the performance of a single machine learning method in genomic selection (GS) is currently unsatisfactory. To improve the genomic predict
Externí odkaz:
https://doaj.org/article/e7a7b1fab9e34cc2bbb5aebb8efc3b48
Autor:
Lili Du, Xinghai Duan, Bingxing An, Tianpeng Chang, Mang Liang, Lingyang Xu, Lupei Zhang, Junya Li, Guangxin E, Huijiang Gao
Publikováno v:
Animals, Vol 11, Iss 9, p 2524 (2021)
Body weight (BW) is an important longitudinal trait that directly described the growth gain of bovine in production. However, previous genome-wide association study (GWAS) mainly focused on the single-record traits, with less attention paid to longit
Externí odkaz:
https://doaj.org/article/dce7e98163634b3c937f3502cb092a49
Autor:
Xinghai Duan, Bingxing An, Lili Du, Tianpeng Chang, Mang Liang, Bai-Gao Yang, Lingyang Xu, Lupei Zhang, Junya Li, Guangxin E, Huijiang Gao
Publikováno v:
Animals, Vol 11, Iss 1, p 192 (2021)
The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight–age records. In this study, data from 808 Chinese Simmental beef cattle that were w
Externí odkaz:
https://doaj.org/article/0a6f6a91dc45405e9d9e87c8349f1fa5