农学最新文献

{"title":"Integrated metabolomics and microbiome analysis reveal blended oil diet improves meat quality of broiler chickens by modulating flavor and gut microbiota","authors":"Dong Ruan, Jiashuai Jiang, Wenjie Huang, A. Fouad, H. K. El-Senousey, Xiajing Lin, Sai Zhang, Lihua Sun, Shijuan Yan, Zongyong Jiang, Shouqun Jiang","doi":"10.1016/j.aninu.2024.04.024","DOIUrl":"https://doi.org/10.1016/j.aninu.2024.04.024","url":null,"abstract":"","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"57 7","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influences of lauric acid addition on performance, nutrient digestibility and proteins related to mammary gland development in dairy cows","authors":"Jing Zhang, Lijun Bu, Yapeng Liu, Wenjie Huo, Chengqiang Xia, C. Pei, Qiang Liu","doi":"10.1016/j.aninu.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.aninu.2024.06.002","url":null,"abstract":"","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"2 8","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Marine red yeast supplementation improves laying performance by regulating small intestinal homeostasis in aging chickens","authors":"Yudian Zhao, Sujin Si, Y. Ren, Xing Wu, Zihao Zhang, Yixiang Tian, Jing Li, Yijie Li, Meng Hou, Xueyang Yao, Zhaoheng Xu, Ruirui Jiang, Xiangtao Kang, Yujie Gong, Qiang Li, Yadong Tian","doi":"10.1016/j.aninu.2024.04.022","DOIUrl":"https://doi.org/10.1016/j.aninu.2024.04.022","url":null,"abstract":"","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"55 11","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141710857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of biochanin A on lactational performance, nitrogen metabolism, and blood metabolites in dairy cows","authors":"Zhanbo Xiong, Yanjun Li, Xiaoyin Zhang, Shiqi Zhang, Kexin Li, Nan Zheng, Shengguo Zhao, Jiaqi Wang","doi":"10.1016/j.aninu.2024.05.004","DOIUrl":"https://doi.org/10.1016/j.aninu.2024.05.004","url":null,"abstract":"","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"4 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating mRNA transcripts and genomic information into genomic prediction.","authors":"Yu-Long Hu, Fang Yang, Yan-Tong Chen, Shuo-Kai Shen, Yu-Bo Yan, Yue-Bo Zhang, Xiao-Lin Wu, Jia-Ming Wang, Jun He, Ning Gao","doi":"10.16288/j.yczz.24-096","DOIUrl":"https://doi.org/10.16288/j.yczz.24-096","url":null,"abstract":"<p><p>Genomic prediction has emerged as a pivotal technology for the genetic evaluation of livestock, crops, and for predicting human disease risks. However, classical genomic prediction methods face challenges in incorporating biological prior information such as the genetic regulation mechanisms of traits. This study introduces a novel approach that integrates mRNA transcript information to predict complex trait phenotypes. To evaluate the accuracy of the new method, we utilized a <i>Drosophila</i> population that is widely employed in quantitative genetics researches globally. Results indicate that integrating mRNA transcript data can significantly enhance the genomic prediction accuracy for certain traits, though it does not improve phenotype prediction accuracy for all traits. Compared with GBLUP, the prediction accuracy for olfactory response to dCarvone in male <i>Drosophila</i> increased from 0.256 to 0.274. Similarly, the accuracy for cafe in male <i>Drosophila</i> rose from 0.355 to 0.401. The prediction accuracy for survival_paraquat in male <i>Drosophila</i> is improved from 0.101 to 0.138. In female <i>Drosophila</i>, the accuracy of olfactory response to 1hexanol increased from 0.147 to 0.210. In conclusion, integrating mRNA transcripts can substantially improve genomic prediction accuracy of certain traits by up to 43%, with range of 7% to 43%. Furthermore, for some traits, considering interaction effects along with mRNA transcript integration can lead to even higher prediction accuracy.</p>","PeriodicalId":35536,"journal":{"name":"Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji","volume":"46 7","pages":"560-569"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Targeting gut microbiota and metabolism profiles with coated sodium butyrate to ameliorate high-energy and low-protein diet-induced intestinal barrier dysfunction in laying hens","authors":"Sasa Miao, Jiankui Li, Ying Chen, Wenyan Zhao, Mengru Xu, Fang Liu, Xiaoting Zou, Xinyang Dong","doi":"10.1016/j.aninu.2024.06.006","DOIUrl":"https://doi.org/10.1016/j.aninu.2024.06.006","url":null,"abstract":"","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"2 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141850444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genes for editing to improve economic traits in aquaculture fish species","authors":"Zituo Yang, Guihong Fu, May Lee, S. Yeo, G. Yue","doi":"10.1016/j.aaf.2024.05.005","DOIUrl":"https://doi.org/10.1016/j.aaf.2024.05.005","url":null,"abstract":"","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"22 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141699982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Redescription of two Euplotes species (Ciliophora, Euplotida) from Yangtze River Estuary, China, with a note on the distributions of this genus in China","authors":"Guanhua Wang, Kun Han, Yu Hu, Hongbo Pan, Jiamei Jiang","doi":"10.1016/j.aaf.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.aaf.2024.06.002","url":null,"abstract":"","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141696677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification accuracy of machine learning algorithms for Chinese local cattle breeds using genomic markers.","authors":"Hui Liang, Xue Wang, Jing-Fang Si, Yi Zhang","doi":"10.16288/j.yczz.24-059","DOIUrl":"https://doi.org/10.16288/j.yczz.24-059","url":null,"abstract":"<p><p>Accurate breed classification is required for the conservation and utilization of farm animal genetic resources. Traditional classification methods mainly rely on phenotypic characterization. However, it is difficult to distinguish between the highly similar breeds due to the challenges in qualifying the phenotypic character. Machine learning algorithms show unique advantages in breed classification using genomic information. To evaluate the classification methods for Chinese cattle breeds, this study utilized genomic SNP data from 213 individuals across seven Chinese local breeds and compared the classification accuracies of three feature selection methods (F_ST value sorting and screening, mRMR, and Relief-F) and three machine learning algorithms (Random Forest, Support Vector Machine, and Naive Bayes). Results showed that: 1) using the F_ST method to screen more than 1500 SNPs, or using the mRMR algorithm to screen more than 1000 SNPs, the SVM classification algorithm can achieve more than 99.47% classification accuracy; 2) the most effective algorithm was SVM, followed by NB, while the best SNP selection method was F_ST and mRMR, followed by Relief-F; 3) species misclassification often occurs between breeds with high similarity. This study demonstrates that machine learning classification models combined with genomic data are effective methods for the classification of local cattle breeds, providing a technical basis for the rapid and accurate classification of cattle breeds in China.</p>","PeriodicalId":35536,"journal":{"name":"Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji","volume":"46 7","pages":"530-539"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rumen metagenome reveals the mechanism of mitigation methane emissions by unsaturated fatty acid while maintaining the performance of dairy cows","authors":"Zhantao Yang, Yuhui Zheng, Siyuan Liu, T. Xie, Qianqian Wang, Zhonghan Wang, Shengli Li, Wei Wang","doi":"10.1016/j.aninu.2024.06.003","DOIUrl":"https://doi.org/10.1016/j.aninu.2024.06.003","url":null,"abstract":"","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"19 2","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}