Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Junya Li"'
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
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 168, Iss , Pp 115766- (2023)
Caffeic acid phenethyl ester (CAPE) is one of the main active ingredients of propolis with good antitumor activities. However, the potential effects of CAPE on the glycolysis and lipid metabolism of tumor cells are unclear. Here, the anti-tumor effec
Externí odkaz:
https://doaj.org/article/71fff3c1d2d3415480649b2e615b1f33
Autor:
Zezhao Wang, Haoran Ma, Hongwei Li, Lei Xu, Hongyan Li, Bo Zhu, El Hamidi Hay, Lingyang Xu, Junya Li
Publikováno v:
Animal Research and One Health, Vol 1, Iss 1, Pp 17-29 (2023)
Abstract Multiple trait genomic selection incorporating correlated traits can improve the predictive ability of low‐heritability traits. In this study, we evaluated genomic prediction accuracy using multi‐trait BayesCπ method (MT‐BayesCπ), wh
Externí odkaz:
https://doaj.org/article/898ddb4d941645c69017b9212a5c2bc7
Autor:
Yuanqing Wang, Jun Ma, Jing Wang, Lupei Zhang, Lingyang Xu, Yan Chen, Bo Zhu, Zezhao Wang, Huijiang Gao, Junya Li, Xue Gao
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 11, p 5626 (2024)
Copy number variation (CNV) serves as a significant source of genetic diversity in mammals and exerts substantial effects on various complex traits. Pingliang red cattle, an outstanding indigenous resource in China, possess remarkable breeding value
Externí odkaz:
https://doaj.org/article/aa20f282fae9408d8ace169eba55550a
Autor:
Wentao Cai, Yapeng Zhang, Tianpeng Chang, Zezhao Wang, Bo Zhu, Yan Chen, Xue Gao, Lingyang Xu, Lupei Zhang, Huijiang Gao, Jiuzhou Song, Junya Li
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract Background A detailed understanding of genetic variants that affect beef merit helps maximize the efficiency of breeding for improved production merit in beef cattle. To prioritize the putative variants and genes, we ran a comprehensive geno
Externí odkaz:
https://doaj.org/article/60e768276d924a22a9cfa7154e2a9003
Autor:
Hongwei Li, Zezhao Wang, Lei Xu, Qian Li, Han Gao, Haoran Ma, Wentao Cai, Yan Chen, Xue Gao, Lupei Zhang, Huijiang Gao, Bo Zhu, Lingyang Xu, Junya Li
Publikováno v:
Evolutionary Applications, Vol 15, Iss 12, Pp 2028-2042 (2022)
Abstract Genomic prediction (GP) based on haplotype alleles can capture quantitative trait loci (QTL) effects and increase predictive ability because the haplotypes are expected to be in linkage disequilibrium (LD) with QTL. In this study, we constru
Externí odkaz:
https://doaj.org/article/c714b3dfec1c4313b865473e29e146a9
Autor:
Tianyu Deng, Mang Liang, Lili Du, Keanning Li, Jinnan Li, Li Qian, Qingqing Xue, Shiyuan Qiu, Lingyang Xu, Lupei Zhang, Xue Gao, Junya Li, Xianyong Lan, Huijiang Gao
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 5, p 2704 (2024)
Compensatory growth (CG) is a physiological response that accelerates growth following a period of nutrient limitation, with the potential to improve growth efficiency and meat quality in cattle. However, the underlying molecular mechanisms remain po
Externí odkaz:
https://doaj.org/article/506760c5951c40f0a0a91d1b6bb57135
Autor:
Haoran Ma, Hongwei Li, Fei Ge, Huqiong Zhao, Bo Zhu, Lupei Zhang, Huijiang Gao, Lingyang Xu, Junya Li, Zezhao Wang
Publikováno v:
Genes, Vol 15, Iss 2, p 253 (2024)
Numerous studies have shown that combining populations from similar or closely related genetic breeds improves the accuracy of genomic predictions (GP). Extensive experimentation with diverse Bayesian and genomic best linear unbiased prediction (GBLU
Externí odkaz:
https://doaj.org/article/fdbfc9e045764f639e7ed243b44db373
Autor:
Jing Wang, Tingting Fan, Zhenwei Du, Lingyang Xu, Yan Chen, Lupei Zhang, Huijiang Gao, Junya Li, Yi Ma, Xue Gao
Publikováno v:
Animals, Vol 13, Iss 24, p 3821 (2023)
Coat color and birth weight, as easily selected traits in cattle, play important roles in cattle breeding. Therefore, we carried out a genome-wide association study on birth weight and coat color to identify loci or potential linkage regions in 233 S
Externí odkaz:
https://doaj.org/article/53662a4dcec4448c8209c46d68c4f6e9