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| 1 | Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models显示文摘Backgrounds:Evaluating the growth performance of pigs in real-time is laborious and expensive,thus mathematical models based on easily accessible variables are developed.Multiple regression(MR)is the most widely used tool to build prediction models in swine nutrition,while the artificial neural networks(ANN)model is reported to be more accurate than MR model in prediction performance.Therefore,the potential of ANN models in predicting the growth performance of pigs was evaluated and compared with MR models in this study.Results:Body weight(BW),net energy(NE)intake,standardized ileal digestible lysine(SID Lys)intake,and their quadratic terms were selected as input variables to predict ADG and F/G among 10 candidate variables.In the training phase,MR models showed high accuracy in both ADG and F/G prediction(R^(2)_(ADG)=0.929,R^(2)_(F/G)=0.886)while ANN models with 4,6 neurons and radial basis activation function yielded the best performance in ADG and F/G prediction(R^(2)_(ADG)=0.964,R^(2)_(F/G)=0.932).In the testing phase,these ANN models showed better accuracy in ADG prediction(CCC:0.976 vs.0.861,R^(2):0.951 vs.0.584),and F/G prediction(CCC:0.952 vs.0.900,R^(2):0.905 vs.0.821)compared with the MR models.Meanwhile,the“over-fitting”occurred in MR models but not in ANN models.On validation data from the animal trial,ANN models exhibited superiority over MR models in both ADG and F/G prediction(P<0.01).Moreover,the growth stages have a significant effect on the prediction accuracy of the models.Conclusion:Body weight,NE intake and SID Lys intake can be used as input variables to predict the growth performance of growing-finishing pigs,with trained ANN models are more flexible and accurate than MR models.Therefore,it is promising to use ANN models in related swine nutrition studies in the future. | Li Wang Qile Hu Lu Wang Huangwei Shi Changhua Lai Shuai Zhang | 2022 | Journal of Animal Science and Biotechnology2022，13，6： | 5 |
| 2 | Fine Mapping and Analysis of DWARF TILLER1 in Controlling Rice Architecture显示文摘Rice is one of the most consumed staple food plants around the world,and its plant architecture is very important to improve the grain yield(Zhang et al.,2008).Plant height,leaf angle,tiller number and angle,and uniformity of panicle layer all can have strong effects on grain yield(Wang and Li,2008).During the long history of domestication,rice has been selected to develop uniform tiller height architecture that ensures panicle layer uniformity and ease of harvesting(Ma et al.,2009),and is largely determined by the | Wenfei Wang Huangwei Chu Dabing Zhang Wanqi Liang | 2013 | Journal of Genetics and Genomics2013，40，9： | 3 |
| 3 | Mining scientific literatureto predict new relationships 显示文摘 | HuangWei NakamoriY Wang Shouyang | 2005 | Intelligen DataAnalysis2005，，9： | 1 |
| 4 | Tau hyperphosphorylation is associated with memory impairment after exposure to 1.5% isoflurane without temperature maintenance in rats显示文摘 | Wenfei Tan Xuezhao Cao Junke Wang Huangwei Lv Binyang Wu Hong Ma | 2010 | European Journal of Anaesthesiology2010，，9： | 1 |
| 5 | Distribution of Eight Blast-resistant Genes in Parents of Three-line Japonica Hybrid Rice显示文摘The distribution of rice blast-resistant genes Pi2, Pi5, Pi9, Pi54, Pia, Pib, Pit and Pita in 36 restoring lines and 42 sterile lines were detected using functional molecular markers. The results indicated that those eight blast-resistant genes distributed in the 78 tested lines at various frequencies. Six rice blast-resistant genes were detected in the sterile line Shen 11 A, containing the most rice blast-resistant genes among the 78 lines, whereas no rice blast-resistant gene was detected in the lines 8527 A, Xu1 A and 016 A. The genetic distance-based clustering analysis showed that those 78 lines could be divided into five groups. | Chu Huangwei Cheng Can Niu Fu’an Zhou Jihua Tu Rongjian Luo Zhongyong Wang Xinqi Cao Liming | 2018 | Plant Diseases and Pests2018，9，2： | 0 |
| 6 | Effects of dietary oil sources and fat extraction methods on apparent and standardized ileal digestibility of fat and fatty acids in growing pigs显示文摘Background:There is a lack of data for the standardized ileal digestibility(SID) of fat and fatty acids in national feed databases.In addition,it is important to specify the procedures used for fat analyses.Therefore,an experiment was conducted to 1) determine the apparent ileal digestibility(AID) and SID of fat and fatty acids in ten different oil sources for growing pigs and to develop prediction equations for SID of fat based on fatty acid composition;and 2) compare the effect of the fat extraction methods on the calculated values for endogenous loss and digestibility of fat.Methods:Twenty-two barrows(initial body weight:32.1 ± 2.3 kg) were surgically fitted with a T-cannula in the distal ileum,and allotted to 1 of 11 experimental diets in a 4-period Youden Square design.A fat-free diet was formulated using cornstarch,soy protein isolate and sucrose.Ten oil-added diets were formulated by adding 6% of dietary oil sources to the fat-free diet at the expense of cornstarch.All diets contained 26% sugar beet pulp and 0.40% chromic oxide.Results:The endogenous loss of ether extract(EE) was lower than that of acid-hydrolyzed fat(AEE;P < 0.01).There were significant differences in the AID and SID of fat and saturated fatty acids across the dietary oil sources(P < 0.05).The SID of AEE for palm oil was lower than that of sunflower oil,corn oil,canola oil,rice oil and flaxseed oil(P < 0.01).The AID and SID of fat ranged from 79.65% to 86.97% and from 91.14% to 99.18%.Although the AID of EE was greater than that of AEE(P < 0.01),there was no significant difference in SID of EE and AEE except for palm oil.The ratio of unsaturated to saturated fatty acids(U/S) had a positive correlation with SID of fat(P < 0.05),whereas C16:0 and long chain saturated fatty acids(LSFA) were significant negatively correlated with SID of fat(P < 0.01).The best-fit equation to predict SID of fat was SID AEE = 102.75-0.15 × LSFA-0.74 × C18:0-0.03 × C18:1(Adjusted coefficient of determination = 0.88,P < 0.01).Conclusions:When calculating the SID of fat,the EE content of the samples can be analyzed using the direct extraction method,whereas the acid hydrolysis procedure should be used to determine the AID of fat.Fat digestibility of dietary oils was affected by their fatty acid composition,especially by the contents of C16:0,LSFA and U/S. | Lu Wang Wenjun Gao Junyan Zhou Huangwei Shi Tenghao Wang Changhua Lai | 2023 | Journal of Animal Science and Biotechnology2023，14，2： | 0 |
| 7 | Hydrogenase as the basis for green hydrogen production and utilization显示文摘Hydrogenase is a paradigm of highly efficient biocatalyst for H_(2) production and utilization evolved in nature. A dilemma is that despite the high activity and efficiency expected for hydrogenases as promising catalysts for the hydrogen economy, the poor oxygen tolerance and low yield of hydrogenases largely hinder their practical application. In these years, the enigmas surrounding hydrogenases regarding their structures, oxygen tolerance, mechanisms for catalysis, redox intermediates, and proton-coupled electron transfer schemes have been gradually elucidated;the schemes, which can well couple hydrogenases with other highly efficient(in)organic and biological catalysts to build novel reactors and drive valuable reactions, make it possible for hydrogenases to find their niches. To see how scientists put efforts to tackle this issue and design novel reactors in the fields where hydrogenases play crucial roles, in this review,recent advances were summarized, including different strategies for protecting enzyme molecules from oxygen, enzyme-based assembling systems for H_(2) evolution in the photoelectronic catalysis, enzymatic biofuel cells for H_(2) utilization and storage and the efficient electricity-hydrogen-carbohydrate cycle for high-purity hydrogen and biofuel automobiles. Limitations and future perspectives of hydrogenasebased applications in H_(2) production and utilization with great impact are discussed. In addition, this review also provides a new perspective on the use of biohydrogen in healthcare beyond energy. | Haishuo Ji Lei Wan Yanxin Gao Ping Du Wenjin Li Hang Luo Jiarui Ning Yingying Zhao Huangwei Wang Lixin Zhang Liyun Zhang | 2023 | Journal of Energy Chemistry2023，，10： | 0 |
| 8 | Effects of Salt Stress on Stipa breviflora Seedlings and Antioxidant Isozymes显示文摘Stipa breviflora seeds,collected from Inner Mongolia,were sowed on MS medium containing 0,50,100,150,200 mmol/L NaC l,to investigate the effects of salt stress on the physiological phenotype and antioxidant enzyme activity of S.breviflora seedlings.The results showed the germination rate,root length and fresh weight of seedlings were all influenced by salinity.Germination rate,root length and fresh weight of seedlings were significantly inhibited by 100,150 and50 mmol/L NaC l,and were 62%,1.30 cm,0.299 g,respectively.With NaC l content increasing,the trend of superoxide dismutase( SOD) and peroxidase( POD) activity was rising at first and then falling,and the activity of SOD and POD reached the maximum at 150 and 100 mmol/L,48.6 and 6 766 U/g,respectively.The activity of catalase( CAT) continued to increase and reached the maximum at 150 mmol/L,299 U/g.The isozyme zymogram showed that SOD 2-4,POD 1-2,and CAT 1-2 were positively correlated with salinity tolerance of S.breviflora seedlings. | Jing WANG Hongzhou ZI Huangwei LI Yanxia NING Ling LUO | 2018 | Agricultural Biotechnology2018，7，6： | 0 |
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