Construction of multiple linear regression models using blood biomarkers for selecting against abdominal fat traits in broilers

文献类型： 外文期刊

第一作者： Dong, J. Q.

作者： Dong, J. Q.;Zhang, X. Y.;Wang, S. Z.;Zhang, K.;Ma, G. W.;Wu, M. Q.;Li, H.;Zhang, H.;Dong, J. Q.;Zhang, X. Y.;Wang, S. Z.;Zhang, K.;Ma, G. W.;Wu, M. Q.;Li, H.;Zhang, H.;Dong, J. Q.;Zhang, X. Y.;Wang, S. Z.;Zhang, K.;Ma, G. W.;Wu, M. Q.;Li, H.;Zhang, H.;Dong, J. Q.;Jiang, X. F.

作者机构：

关键词： Abdominal fat;chicken;multiple linear regression;plasma biochemical parameter;very low-density lipoprotein

期刊名称：POULTRY SCIENCE （ 影响因子：3.352； 五年影响因子：3.679 ）

ISSN： 0032-5791

年卷期： 2018 年 97 卷 1 期

页码：

收录情况： SCI

摘要： Plasma very low-density lipoprotein (VLDL) can be used to select for low body fat or abdominal fat (AF) in broilers, but its correlation with AF is limited. We investigated whether any other biochemical indicator can be used in combination with VLDL for a better selective effect. Nineteen plasma biochemical indicators were measured in male chickens from the Northeast Agricultural University broiler lines divergently selected for AF content (NEAUHLF) in the fed state at 46 and 48 d of age. The average concentration of every parameter for the 2 d was used for statistical analysis. Levels of these 19 plasma biochemical parameters were compared between the lean and fat lines. The phenotypic correlations between these plasma biochemical indicators and AF traits were analyzed. Then, multiple linear regression models were constructed to select the best model used for selecting against AF content. and the heritabilities of plasma indicators contained in the best models were estimated. The results showed that 11 plasma biochemical indicators (triglycerides, total bile acid, total protein, globulin, albumin/globulin, aspartate transaminase, alanine transaminase, gamma-glutamyl transpeptidase, uric acid, creatinine, and VLDL) differed significantly between the lean and fat lines (P < 0.01), and correlated significantly with AF traits (P < 0.05). The best multiple linear regression models based on albumin/globulin, VLDL, triglycerides, globulin, total bile acid, and uric acid, had higher R-2 (0.73) than the model based only on VLDL (0.21). The plasma parameters included in the best models had moderate heritability estimates (0.21 <= h(2) <= 0.43). These results indicate that these multiple linear regression models can be used to select for lean broiler chickens.

分类号：

  • 相关文献

[1]Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content. Zhang, Hui,Du, Zhi-Qiang,Dong, Jia-Qiang,Wang, Hai-Xia,Shi, Hong-Yan,Wang, Ning,Wang, Shou-Zhi,Li, Hui,Zhang, Hui,Du, Zhi-Qiang,Dong, Jia-Qiang,Wang, Hai-Xia,Shi, Hong-Yan,Wang, Ning,Wang, Shou-Zhi,Li, Hui,Zhang, Hui,Du, Zhi-Qiang,Dong, Jia-Qiang,Wang, Hai-Xia,Shi, Hong-Yan,Wang, Ning,Wang, Shou-Zhi,Li, Hui. 2014

[2]The identification of 14 new genes for meat quality traits in chicken using a genome-wide association study. Sun, Yanfa,Zhao, Guiping,Liu, Ranran,Zheng, Maiqing,Hu, Yaodong,Wu, Dan,Zhang, Lei,Li, Peng,Wen, Jie,Zhao, Guiping,Liu, Ranran,Zheng, Maiqing,Li, Peng,Wen, Jie,Sun, Yanfa,Wen, Jie. 2013

[3]Comparison of serum biochemical parameters between two broiler chicken lines divergently selected for abdominal fat content. Dong, J. -Q.,Zhang, H.,Wang, S. -Z.,Du, Z. -Q.,Wang, Z. -P.,Leng, L.,Cao, Z. -P.,Li, Y. -M.,Luan, P.,Li, H.,Dong, J. -Q.,Zhang, H.,Wang, S. -Z.,Du, Z. -Q.,Wang, Z. -P.,Leng, L.,Cao, Z. -P.,Li, Y. -M.,Luan, P.,Li, H.,Dong, J. -Q.,Zhang, H.,Wang, S. -Z.,Du, Z. -Q.,Wang, Z. -P.,Leng, L.,Cao, Z. -P.,Li, Y. -M.,Luan, P.,Li, H.,Jiang, X. -F..

[4]Differential expression of six chicken genes associated with fatness traits in a divergently selected broiler population. Wu, Xianwen,Zhang, Qi,Xu, Songsong,Jin, Pengcheng,Luan, Peng,Li, Yumao,Cao, Zhiping,Leng, Li,Wang, Yuxiang,Wang, Shouzhi,Wu, Xianwen,Zhang, Qi,Xu, Songsong,Jin, Pengcheng,Luan, Peng,Li, Yumao,Cao, Zhiping,Leng, Li,Wang, Yuxiang,Wang, Shouzhi,Wu, Xianwen,Zhang, Qi,Xu, Songsong,Jin, Pengcheng,Luan, Peng,Li, Yumao,Cao, Zhiping,Leng, Li,Wang, Yuxiang,Wang, Shouzhi.

[5]CIDE proteins and lipid metabolism. Xu, Li,Zhou, Linkang,Li, Peng,Xu, Li.

[6]Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China. Yi Xiangsheng,Yi Xiangsheng,Li Guosheng,Yin Yanyu. 2016

[7]A genome-wide scan of selective sweeps in two broiler chicken lines divergently selected for abdominal fat content. Zhang, Hui,Wang, Shou-Zhi,Wang, Zhi-Peng,Wang, Ning,Wang, Yu-Xiang,Leng, Li,Tang, Zhi-Quan,Li, Hui,Zhang, Hui,Wang, Shou-Zhi,Wang, Zhi-Peng,Wang, Ning,Wang, Yu-Xiang,Leng, Li,Tang, Zhi-Quan,Li, Hui,Da, Yang,Hu, Xiao-Xiang,Zhang, Yuan-Dan. 2012

[8]Determination of thiophanate-methyl using UV absorption spectra based on multiple linear regression. Jiao, L.,Dong, D.,Zheng, W.,Zhao, X.,Zhang, S.,Shen, C.,Jiao, L.,Dong, D.,Zheng, W.,Zhao, X.,Zhang, S.,Shen, C.. 2014

[9]Estimating leaf nitrogen accumulation in maize based on canopy hyperspectrum data. Gu, Xiaohe,Wang, Lizhi,Song, Xiaoyu,Xu, Xingang. 2016

[10]Rapid Analysis of Apple Leaf Nitrogen using Near Infrared Spectroscopy and Multiple Linear Regression. Zhang, Guang-Cai,Yan, Xiang-Mei,Zhou, Ping,Lin, Guo-Lin,Zhou, Chong-Jun,Liu, Ning,Han, Xiao-Ri,Zhang, Guang-Cai,Li, Zhuang,Cheng, Cun-Gang,Yan, Xiang-Mei. 2012

[11]Prediction of soil organic matter using artificial neural network and topographic indicators in hilly areas. Guo, Peng-Tao,Sheng, Qing-Kai,Li, Mao-Fen,Liu, Hong-Bin,Wang, Zheng-Yin,Guo, Peng-Tao,Wu, Wei,Liu, Hong-Bin. 2013

[12]The Determination of Glucose Based on Terahertz Spectroscopy. Li Bin,Long Yuan,Zhao Chun-jiang,Li Bin,Long Yuan,Zhao Chun-jiang,Li Bin,Long Yuan,Zhao Chun-jiang,Liu Hai-shun,Zhao Chun-jiang. 2017

[13]Follicle-stimulating hormone increases the intramuscular fat content and expression of lipid biosynthesis genes in chicken breast muscle. Cui, Xiao-yan,Li, Ying-ying,Liu, Ran-ran,Zhao, Gui-ping,Zheng, Mai-qing,Li, Qing-he,Wen, Jie. 2016

[14]Transcriptome analysis of adiposity in domestic ducks by transcriptomic comparison with their wild counterparts. Chen, L.,Li, J. J.,Wang, D. Q.,Tian, Y.,Lu, L. Z.,Luo, J.,Li, J. X..

[15]Complementary deoxyribonucleic acid cloning of avian G0/G1 switch gene 2, and its expression and association with production traits in chicken. Pang, X.,Liu, W.,Nie, Q.,Zhang, X.,Zeng, F.,Pang, X.,Nie, Q.,Zhang, X.,Xie, L..

[16]Deep Sequencing Analysis of miRNA Expression in Breast Muscle of Fast-Growing and Slow-Growing Broilers. Ouyang, Hongjia,He, Xiaomei,Li, Guihuan,Xu, Haiping,Jia, Xinzheng,Nie, Qinghua,Zhang, Xiquan,Ouyang, Hongjia,He, Xiaomei,Li, Guihuan,Xu, Haiping,Jia, Xinzheng,Nie, Qinghua,Zhang, Xiquan,Ouyang, Hongjia,He, Xiaomei,Li, Guihuan,Xu, Haiping,Jia, Xinzheng,Nie, Qinghua,Zhang, Xiquan. 2015

[17]Molecular epidemiology of hydropericardium syndrome outbreak-associated serotype 4 fowl adenovirus isolates in central China. Zhang, Teng,Zhang, Teng,Jin, Qianyue,Ding, Peiyang,Chai, Yongxiao,Li, Yafei,Liu, Xiao,Luo, Jun,Zhang, Gaiping,Chai, Yongxiao,Liu, Xiao,Zhang, Gaiping,Ding, Peiyang,Li, Yafei,Wang, Yinbiao,Jin, Qianyue,Zhang, Gaiping. 2016

[18]A premature stop codon within the tvb receptor gene results in decreased susceptibility to infection by avian leukosis virus subgroups B, D, and E. Chen, WeiGuo,Liu, Yang,Li, Xinjian,Li, Hongxing,Dai, Zhenkai,Yan, Yiming,Zhang, Xinheng,Lin, Wencheng,Ma, Jingyun,Xie, Qingmei,Chen, WeiGuo,Liu, Yang,Li, Xinjian,Li, Hongxing,Dai, Zhenkai,Yan, Yiming,Zhang, Xinheng,Lin, Wencheng,Ma, Jingyun,Xie, Qingmei,Li, Aijun,Shu, Dingming,Zhang, Huanmin,Chen, WeiGuo,Liu, Yang,Li, Xinjian,Li, Hongxing,Dai, Zhenkai,Yan, Yiming,Zhang, Xinheng,Lin, Wencheng,Ma, Jingyun,Xie, Qingmei,Chen, WeiGuo,Lin, Wencheng,Ma, Jingyun,Xie, Qingmei. 2017

[19]Differential expression of L-FABP and L-BABP between fat and lean chickens. Zhang, Q.,Shi, H.,Liu, W.,Wang, Y.,Wang, Q.,Li, H.,Zhang, Q.,Shi, H.,Liu, W.,Wang, Y.,Li, H.,Wang, Q.. 2013

[20]An association between genetic variation in the roundabout, axon guidance receptor, homolog 2 gene and immunity traits in chickens. Shu, D. M.. 2014

作者其他论文 更多>>
  • A comprehensive molecular phylogeny of Cephalotrichum and Microascus provides novel insights into their systematics and evolutionary history

    作者：Wei, T. P.;Zhang, X.;Zhang, H.;Jiang, Y. L.;Wu, Y. M.;Wu, Y. M.;Zhang, X.;Zhang, H.;Crous, P. W.;Crous, P. W.

    关键词：divergence times; evolution; multi-gene phylogeny; new taxa; taxonomy

  • Effects of dietary defatted Periplaneta americana meal on the growth, antioxidant status, immunity, hepatic and intestinal health of Nile tilapia

    作者：Li, Y. C.;Yang, H. C.;Wang, G. J.;Gong, W. B.;Tian, J. J.;Li, H. Y.;Zhang, K.;Xia, Y.;Li, Z. F.;Xie, J.;Yu, E. M.;Yu, E. M.;Zhang, J. M.

    关键词：defatted Periplaneta americana meal; Nile tilapia; growth performance; antioxidant ability; immunity

  • Low-depth Raw Reads of Nanopore Sequencing Enables Rapid and Accurate Bacterial Identification

    作者：Gao, W.;Hong, W.;Wu, Y.;Liu, Y.;Fan, X.;Wang, H.;Wang, M.;Yang, B.;Wang, T.;Li, H.;Liu, S.;Li, J.

    关键词：assembly; reads; Nanopore sequencing; Illumina sequencing; bacterial identification

  • Global consortium for the classification of fungi and fungus-like taxa

    作者：Hyde, K. D.;Dai, D. Q.;Du, T. Y.;Li, Q.;Liu, X. F.;Tibpromma, S.;Wijayawardene, N. N.;Hyde, K. D.;Absalan, S.;Afshari, N.;Amuhenage, T. B.;Apurillo, C. C. S.;Armand, A.;Asghari, R.;Bera, I;Bhunjun, C. S.;Boonmee, S.;Bundhun, D.;Chaharmiri-Dokhaharani, S.;Chen, C.;Chethana, K. W. T.;Du, T. Y.;Gajanayake, A. J.;Gentekaki, E.;Gomdola, D.;Gomes de Farias, A. R.;Gunarathne, A.;He, S.;Huanraluek, N.;Hurdeal, V. G.;Jayawardena, R. S.;Karimi, O.;Khyaju, S.;Lestari, A. S.;Li, C. J. Y.;Li, H.;Li, L.;Li, Y. X.;Liao, C. F.;Linn, M. M.;Lu, L.;Luangharn, T.;Luo, L.;Ma, J.;Madagammana, A. D.;Mapook, A.;Marasinghe, D. S.;Meng, Q. F.;Mukhopadyay, S.;Noorabadi, M. T.;Norphanphoun, C.;Pem, D.;Perera, R. H.;Phonemany, M.;Phukhamsakda, C.;Phutthacharoen, K.;Rathnayaka, A. R.;Samarakoon, B. C.;Seifollahi, E.;Su, H. L.;Sun, Y. R.;Sysouphanthong, P.;Tan, T. H.;Tang, X.;Tavakol, N. M.;Thiyagaraja, V;Thongklang, N.;Walker, A.;Wannasawang, N.;Wijesinghe, S. N.;Wu, N.;Xiong, Y. R.;Xu, R. F.;Xu, R. J.;Yang, H. D.;Yang, J.;Yang, Y. H.;Yasanthika, E.;Yu, F. M.;Zeng, M.;Zhang, F.;Zhang, J. Y.;Zin, H. H.;Hyde, K. D.;Amuhenage, T. B.;Apurillo, C. C. S.;Armand, A.;Asghari, R.;Bhunjun, C. S.;Boonmee, S.;Bundhun, D.;Chen, C.;Chethana, K. W. T.;Gajanayake, A. J.;Gentekaki, E.;Gomdola, D.;Gunarathne, A.;He, S.;Hurdeal, V. G.;Jayawardena, R. S.;Karimi, O.;Khyaju, S.;Lestari, A. S.;Li, C. J. Y.;Li, H.;Li, L.;Li, Y. X.;Liao, C. F.;Linn, M. M.;Liu, X. F.;Luo, L.;Ma, J.;Madagammana, A. D.;Meng, Q. F.;Mukhopadyay, S.;Pem, D.;Phonemany, M.;Phutthacharoen, K.;Samarakoon, B. C.;Su, H. L.;Sun, Y. R.;Tang, X.;Thongklang, N.;Walker, A.;Wu, N.;Xiong, Y. R.;Xu, R. F.;Xu, R. J.;Yang, H. D.;Yang, Y. H.;Yasanthika, E.;Yu, F. M.;Zeng, M.;Zhang, F.;Zhang, J. Y.;Zin, H. H.;Abdel-Wahab, M. A.;Abdollahzadeh, J.;Abeywickrama, P. D.;Yan, J. Y.;Zhang, W.;Absalan, S.;Afshari, N.;de Silva, N., I;Lumyong, S.;Promputtha, I;Tennakoon, D. S.;Ainsworth, A. M.;Kirk, P. M.;Liimatainen, K.;Akulov, O. Y.;Aleoshin, V. V.;Mikhailov, K., V;Aleoshin, V. V.;Mikhailov, K., V;Al-Sadi, A. M.;Thamodini, G. K.;Alvarado, P.;Alves, A.;Amalfi, M.;De Kesel, A.;Ertz, D.;Haelewaters, D.;Amalfi, M.;Ertz, D.;Amira, Y.;Anderson, J. L.;Antonin, V;Aouali, S.;Aptroot, A.;Apurillo, C. C. S.;Araujo, J. P. M.;Ariyawansa, H. A.;Arumugam, E.;Gunaseelan, S.;Kaliyaperumal, M.;Kezo, K.;Murugadoss, R.;Assis, D. M. A.;Barbosa, R. N.;da Silva, D. K. A.;da Silva, G. A.;da Silva, R. M. F.;da Silva Santos, A. C.;de Oliveira, N. T.;Diniz, A. G.;Gibertoni, T. B.;Machado, A. R.;Malosso, E.;Meiras-Ottoni, A.;Melo, R. F. R.;Mendes-Alvarenga, R. L.;Santiago, A. L. C. M. A.;Souza-Motta, C. M.;Tiago, P., V;Vieira, L. C.;Atienza, V;Garrido-Benavent, I;Avasthi, S.;Azevedo, E.;Caeiro, M. F.;Azevedo, E.;Caeiro, M. F.;Bahkali, A. H.;Bhat, D. J.;Jones, E. B. G.;Bakhshi, M.;Zare, R.;Banihashemi, Z.;Bao, D. F.;Luo, Z. L.;Shen, H. W.;Baral, H. O.;Barata, M.;Barata, M.;Barbosa, F. R.;Barreto, R. W.;Thines, M.;Thines, M.;Thines, M.;Belamesiatseva, D. B.;Shabashova, T. G.;Bennett Reuel, M.;dela Cruz, T. E. E.;Bennett Reuel, M.;Bezerra, J. D. P.;Bezerra, J. D. P.;Bezerra, J. L.;Bhat, D. J.;Bianchinotti, M., V;Blaszkowski, J.;Boekhout, T.;Tedersoo, L.;Bonito, G.;Boonyuen, N.;Luangsa-ard, J. J.;Bregant, C.;Linaldeddu, B. T.;Buchanan, P.;Johnston, P. R.;McKenzie, E. H. C.;Burgaud, G.;Jany, J. L.;Burgess, T.;Buyck, B.;Cabarroi-Hernandez, M.;Castro-Jauregui, O.;Cortes-Perez, A.;Guzman-Davalos, L.;Ramirez-Cruz, V;Caceres, M. E. S.;Zhang, J. F.;Cai, L.;Raza, M.;Wei, X. L.;Cai, M. F.;Calabon, M. S.;Calaca, F. J. S.;Calaca, F. J. S.;Callalli, M.;Callalli, M.;Callalli, M.;Camara, M. P. S.;Cano-Lira, J. F.;Cantillo, T.;Cao, B.;He, M. Q.;Liu, F.;Liu, S. L.;Wang, K.;Zhao, R. L.;Zhou, L. W.;Carlavilla, J. R.;Carvalho, A.;Castaneda-Ruiz, R. F.;Castlebury, L.;Catania, M. D., V;Cavalcanti, L. H.;Cazabonne, J.;Cazabonne, J.;Cedeno-Sanchez, M. L.;Chaiwan, N.;Chakraborty, N.;Chaverri, P.;Chaverri, P.;Cheewangkoon, R.;Samarakoon, M. C.;Thiyagaraja, V;Chen, C. Y.;Chen, K. H.;Chen, Q.;Chen, W. H.;Chen, Y. P.;Dissanayake, A. J.;Li, W. L.;Liu, J. K.;Maharachchikumbura, S. S. N.;Tian, Q.;Tian, W. H.;Wu, N.;Yu, X. D.;Yu, Y. X.;Zhang, S. N.;Coleine, C.;Li, C. J. Y.;Selbmann, L.;Conde, T. O.;Corazon-Guivin, M. A.;Corazon-Guivin, M. A.;Costa-Rezende, D. H.;Courtecuisse, R.;Crouch, J. A.;Crous, P. W.;Groenewald, J. Z.;Groenewald, M.;Herandez-Restrepo, M.;Houbraken, J.;Sandoval-Denis, M.;Cui, B. K.;Dai, Y. C.;He, S. H.;Li, Y.;Liu, S.;Liu, Z. B.;Song, C. G.;Sun, Y. F.;Wang, C. G.;Xu, T. M.;Yuan, Y.;Zhang, Q. Y.;Zhang, Y.;Zhao, H.;Zhou, M.;Cui, Y. Y.;Ge, Z-W;He, S.;Li, Y. C.;Luo, L.;Su, H. L.;Wang, X. Y.;Worthy, F. R.;Xu, R. F.;Xu, R. J.;Cui, Y. Y.;Li, Y. C.;Wang, X. Y.;Worthy, F. R.;Wu, G.;da Silva, I. R.;Anderson, J. L.;Fernandes, I;Fryar, S. C.;Damm, U.;Darmostuk, V;Flakus, A.;Janik, P.;Rodriguez-Flakus, P.;Ronikier, A.;Zoha, Daroodi;Das, K.;Das, K.;Davoodian, N.;Davydov, E. A.;Dayarathne, M. C.;Decock, C.;Blondelle, A.;de Groot, M. D.;De Lange, R.;Haelewaters, D.;Santamaria, B.;Schoutteten, N.;Sulistyo, B.;Van Caenegem, W.;de Groot, M. D.;Zamora, J. C.;Karakehian, J. M.;Delgado, G.;Denchev, C. M.;Denchev, T. T.;de Silva, N., I;Tennakoon, D. S.;de Souza, F. A.;Dentinger, B.;Devadatha, B.;Devadatha, B.;Dianese, J. C.;Dima, B.;Dissanayake, L. S.;Dogan, H. H.;Chen, C.;Doilom, M.;Dong, W.;Dong, Z. Y.;Li, H.;Li, Y. X.;Liao, C. F.;Luo, M.;Manawasinghe, I. S.;Xiong, Y. R.;Xu, B.;Yang, Y. H.;Zhang, Y. X.;Dolatabadi, S.;Ma, J.;Nanayakkara, C. M.;Dos Santos, L. A.;Alves-Silva, G.;Drechsler-Santos, E. R.;Dubey, M. K.;Dutta, A. K.;Egidi, E.;Elliott, T. F.;Elshahed, M. S.;Youssef, N. H.;Erdogdu, M.;Etayo, J.;Evans, H. C.;Fan, X. L.;Fan, Y. G.;Fedosova, A. G.;Zhurbenko, M. P.;Fell, J.;Fernandes, I;Fernandes, I;Firmino, A. L.;Fiuza, P. O.;Xu, R.;Fragoso de Souza, C. A.;Frisvad, J. C.;Fryar, S. C.;Gabaldon, T.;Torruella, G.;Gabaldon, T.;Torruella, G.;Gabaldon, T.;Gabaldon, T.;Gannibal, P. B.;Gannibal, P. B.;Garcia, D.;Gene, D. J.;Garcia, D.;Gene, D. J.;Garcia-Sandoval, S. R.;Garcia-Sandoval, S. R.;Senanayake, I. C.;Garzoli, L.;Gautam, A. K.;Wu, H. X.;Ghobad-Nejhad, M.;Giachini, A. J.;Goes-Neto, A.;Galindo, L. J.;Gorjon, S. P.;Goto, B. T.;Granados-Montero, M. M.;Granados-Montero, M. M.;Griffith, G. W.;Grossart, H. P.;Grossart, H. P.;Gueidan, C.;Baschien, C.;Yurkov, A.;Gusmao, L. F. P.;Gutierrez, A. C.;Chen, J.;Haelewaters, D.;Haelewaters, D.;Halling, R.;Halling, R.;Han, Y. F.;Hapuarachchi, K. K.;Zhao, C. L.;Harder, C. B.;Harrington, T. C.;Hattori, T.;Wu, W. P.;Healy, R.;Heredia, G.;Hodge, K. T.;Iturriaga, T.;Holgado-Rojas, M.;Holgado-Rojas, M.;Holgado-Rojas, M.;Hongsanan, S.;Hongsanan, S.;Horak, E.;Horak, E.;Hosoya, T.;Takamatsu, S.;Huang, S. K.;Hur, J. S.;Hustad, V. P.;Iotti, M.;Leonardi, M.;Rossi, W.;Jafar, E.;Xu, R.;Jayalal, R. G. U.;Jayasiri, S. C.;Jayawardena, R. S.;Jeewon, R.;Jeewon, R.;Jin, J.;Zafari, D.;Jones, E. B. G.;Zhang, H.;Justo, A.;Kaishian, P.;Kakishima, M.;Piepenbring, M.;Kang, G. P.;Tan, T. H.;Kang, G. P.;Tan, T. H.;Kang, J. C.;Karpov, S. A.;Karunarathna, S. C.;Kaufmann, M.;Kemler, M.;Kirchmair, M.;Neuhauser, S.;Peintner, U.;Zucconi, L.;Kitaura, M. J.;Klawonn, I;Kolarik, M.;Kong, A.;Kuhar, F.;Kukwa, M.;Kumar, S.;Kusan, I;Matocec, N.;Mesic, A.;Posta, A.;Tkalcec, Z.;Lado, C.;Larsson, K. H.;Larsson, K. H.;Latha, K. P. D.;Leontyev, D. L.;Leontyev, D. L.;Lestari, A. S.;Li, D. W.;Li, H. Y.;Li, L.;Lu, Y. Z.;Ma, J.;Zhang, J. Y.;Li, Q. R.;Wurzbacher, C.;Xiao, Y. P.;Lee, H. B.;Wijayawardene, N. N.;Lim, Y. W.;Lim, Y. W.;Lin, C. G.;Linde, C. C.;Liu, N. G.;Liu, N. G.;Liu, X. Y.;Liu, X. Z.;Wisitrassameewong, K.;Lumbsch, H. T.;Lumyong, S.;Lumyong, S.;White, J. F.;Zeng, N. K.;Madrid, H.;Magurno, F.;Magyar, D.;Mahadevan, N.;Mahadevan, N.;Maharachchikumbura, S. S. N.;Maimaiti, Y.;Raza, M.;Manamgoda, D. S.;Udayanga, D.;Wartchow, F.;Mardones, M.;Cedeno-Sanchez, M. L.;Marin-Felix, Y.;Stadler, M.;Cedeno-Sanchez, M. L.;Marin-Felix, Y.;Stadler, M.;Marquez, R.;Masigol, H.;May, T. W.;Yuan, H. S.;Mendieta, S.;Meng, Q. F.;Menkis, A.;Menolli, N., Jr.;Nascimento, C. C.;Silva-Filho, A. G. S.;Meza Calvo, J. G.;Miller, S. L.;Moncada, B.;Moncada, B.;Moncalvo, J. M.;Moncalvo, J. M.;Monteiro, J. S.;Monteiro, J. S.;Monteiro, M.;Mora-Montes, H. M.;Moreau, P. A.;Mueller, G. M.;Nagy, L. G.;Najafiniya, M.;Nascimento, C. C.;Nei, Y.;Neves, M. A.;Niego, A. G. T.;Nilsson, R. H.;Niskanen, T.;Niveiro, N.;Noordeloos, M. E.;Noordeloos, M. E.;Nunez Otano, N. B.;O'Donnell, R. P.;Oehl, F.;Olariaga, I;Orlando, O. P.;Pang, K. L.;Pang, K. L.;Papp, V;Pawlowska, J.;Pereira, O. L.;Perera, R. H.;Perera, R. H.;Perez-Moreno, J.;Perez-Ortega, S.;Peter, G.;Phillips, A. J. L.;Jeronimo, G. H.;Jesus, A. L.;Pires-Zottarelli, C. L. A.;Poinar, G.;Prieto, M.;Quandt, C. A.;Radek, R.;Rahnama, K.;Raj, K. N. A.;Rajeshkumar, K. C.;Sruthi, O. P.;Rama, T.;Rama, T.;Rambold, G.;Rasconi, S.;Ren, G. C.;Ren, G. C.;Robledo, G. L.;Flakus, A.;Rodriguez-Flakus, P.;Ryberg, M.;Ryvarden, L. R.;Salvador-Montoya, C. A.;Samant, B.;Sanchez-Castro, I;Sanchez-Garcia, M.;Sarma, V. V.;Savchenko, A.;Savchenko, K.;Saxena, R. K.;Scholler, M.;Selbmann, L.;Selcuk, F.;Senanayake, I. C.;Shen, Y. M.;Simmons, D. R.;Singh, R.;Sir, E. B.;Yu, Q.;Stemler, J.;Stemler, J.;Stemler, J.;Stemler, J.;Stephenson, S. L.;Strassert, J. F. H.;Su, L.;Su, L.;Suetrong, S.;Norphanphoun, C.;Sun, Y. R.;Wang, Y.;Zeng, X. Y.;Svantesson, S.;Svantesson, S.;Takamatsu, S.;Tanaka, K.;Tang, A. M. C.;Tang, X.;Wei, D. P.;Tanney, J. B.;Taylor, J. E.;Taylor, P. W. J.;Tedersoo, L.;Zhang, F.;Zhang, J. F.;Thiyagaraja, V;Wanasinghe, D. N.;Tibell, L.;Tibell, S.;Tomsovsky, M.;Toome-Heller, M.;Yakovchenko, L.;Yang, H. D.;Yang, Z. L.;Yu, F. M.;Zeng, M.;Zhao, Q.;Tsurykau, A.;Tsurykau, A.;Untereiner, W. A.;Uzunov, B. A.;Valle, L. G.;Van den Wyngaert, S.;Van Vooren, N.;Velez, P.;Verma, R. K.;Vieira, W. A. S.;Vizzini, A.;Walker, A. K.;Yapa, N.;Joshi, Y.;Wang, S. X.;Wijesundara, D. S. A.;Xu, L. J.;Yu, Z. F.

    关键词：classification; nomenclature; scientific criticism; taxonomy

  • EFFECTS OF METEOROLOGICAL CONDITIONS ON GRASSLAND FIRES IN NORTHEAST CHINA

    作者：Yi, B. L.;Zhang, X. Y.;Wu, G. X.;Sun, J. X.;Zhou, M.;An, H. J.;Li, J.;Yang, S. X.;Du, W. L.;Qi, H. G. J.

    关键词：Hulun Buir Grassland; grassland fire; area burned; meteorological factors; ARDL model

  • EFFECTS OF METEOROLOGICAL CONDITIONS ON GRASSLAND FIRES IN NORTHEAST CHINA

    作者：Yi, B. L.;Zhang, X. Y.;Wu, G. X.;Sun, J. X.;Zhou, M.;An, H. J.;Li, J.;Yang, S. X.;Du, W. L.;Qi, H. G. J.

    关键词：Hulun Buir Grassland; grassland fire; area burned; meteorological factors; ARDL model

  • Dietary Periplaneta americana extract improved the growth performance, immune, and antioxidative status, and crowding stress responses in Nile tilapia

    作者：Li, Y. C.;Zhang, J. M.;Wang, G. J.;Gong, W. B.;Tian, J. J.;Li, H. Y.;Zhang, K.;Xia, Y.;Li, Z. F.;Xie, J.;Yu, E. M.;Bing, F.

    关键词：Periplaneta americana extract; nutrition; health; stress; welfare

微信小程序