In order to</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> study the meat quality characteristics of </span>...In order to</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> study the meat quality characteristics of </span><span style="font-family:Verdana;">Ningdu</span><span style="font-family:Verdana;"> yellow rooster, the 7 indexes of 120 healthy </span><span style="font-family:Verdana;">Ningdu</span><span style="font-family:Verdana;"> yellow rooster</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> after </span><span style="font-family:Verdana;">slaughter</span><span style="font-family:Verdana;"> at the age of 16 weeks were determined, and correlation analysis, regression analysis </span><span style="font-family:Verdana;">and</span><span style="font-family:Verdana;"> principal component analysis were carried out among the indexes.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The results showed that the variation coefficient of PH value was smaller than that of water drop rate and meat colorimetric, and the lactic acid produced by anaerobic glycolysis of glycogen in chicken meat was slower.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Through correlation analysis, the 24-hour drip rate was strongly correlated with the 48-hour drip rate (coefficient ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.7,</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">p</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">≤</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.05), and the other indicators were independent of each other.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">By means of</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> regression analysis, the regression equation (fitting degree R</span><sup><span style="font-family:Verdana;">2</span></sup></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">=</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">0.984) of </span><span style="font-family:Verdana;">24</span><span style="font-family:Verdana;">- and 48-hour drip rate was established.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Principal component analysis synthesized 7 indicators into 3 principal components, with a cumulative contribution rate of 70.13%, indicating that the meat quality of Ningdu Yellow chicken rooster is mainly selected by water drop rate, PH value </span><span style="font-family:Verdana;">and</span><span style="font-family:Verdana;"> meat color test.展开更多
The Ningdu basin,located in southern Jiangxi province of southwest China,is one of the Mesozoic basin groups which has exploration prospects for geothermal energy.A study on the detailed velocity structure of the Ning...The Ningdu basin,located in southern Jiangxi province of southwest China,is one of the Mesozoic basin groups which has exploration prospects for geothermal energy.A study on the detailed velocity structure of the Ningdu basin can provide important information for geothermal resource exploration.In this study,we deployed a dense seismic array in the Ningdu basin to investigate the 3D velocity structure and discuss implications for geothermal exploration and geological evolution.Based on the dense seismic array including 35 short-period(5 s-100 Hz)seismometers with an average interstation distance of~5 km,Rayleigh surface wave dispersion curves were extracted from the continuous ambient noise data for surface wave tomographic inversion.Group velocity tomography was conducted and the 3D S-wave velocity structure was inverted by the neighborhood algorithm.The results revealed obvious low-velocity anomalies in the center of the basin,consistent with the low-velocity Cretaceous sedimentary rocks.The basement and basin-controlling fault can also be depicted by the S-wave velocity anomalies.The obvious seismic interface is about 2 km depth in the basin center and decreases to 700 m depth near the basin boundary,suggesting spatial thickness variations of the Cretaceous sediment.The fault features of the S-wave velocity profile coincide with the geological cognition of the western boundary basincontrolling fault,which may provide possible upwelling channels for geothermal fluid.This study suggests that seismic tomography with a dense array is an effective method and can play an important role in the detailed investigations of sedimentary basins.展开更多
试验旨在探讨成年宁都黄鸡睾丸的蛋白质表达谱,筛选大小睾丸个体差异表达蛋白和功能通路,为繁殖性能选育提供基础数据。以6只22周龄宁都黄鸡的睾丸组织为研究对象,分为大睾丸组(H-TES)和小睾丸组(L-TES),采用串联质量标签(tandem mass t...试验旨在探讨成年宁都黄鸡睾丸的蛋白质表达谱,筛选大小睾丸个体差异表达蛋白和功能通路,为繁殖性能选育提供基础数据。以6只22周龄宁都黄鸡的睾丸组织为研究对象,分为大睾丸组(H-TES)和小睾丸组(L-TES),采用串联质量标签(tandem mass tags, TMT)技术对2组个体睾丸蛋白质进行差异表达、功能富集和基因互作分析,初步筛选候选蛋白质,分析这些蛋白质在6个个体的表达量与6个睾丸性状指标(左侧睾丸重、右侧睾丸重、总睾丸重、左侧睾丸指数、右侧睾丸指数、总睾丸指数)之间的相关性,分析候选蛋白质的功能。结果表明,宁都黄鸡睾丸中共鉴定到4 683个蛋白质,筛选到144个差异表达蛋白质。GO分析结果表明,差异蛋白质主要参与精子结构组成,具有尿蛋白-谷氨酸连接酶活性、胸腺嘧啶结合、脱氢抗坏血酸跨膜转运体活性等功能。差异蛋白质显著富集的KEGG通路为精氨酸和脯氨酸代谢、泛酸和辅酶A的生物合成、β-丙氨酸代谢等。蛋白质互作网络中有34个差异蛋白质,初步筛选出30个候选蛋白质。结合相关性分析和文献查阅,筛选出16个关键候选蛋白质,即SPAG6、TPPP2、ENKUR、ODF2、SAXO1、TCP11、DNALI1、CCDC63、TSSK3、TEKT2、TEKT3、ALDH2、DNAH5、CCDC40、CCDC39、DNAH10。结合关键候选蛋白质的功能,初步确定精氨酸和脯氨酸代谢、泛酸和辅酶A生物合成、β-丙氨酸代谢、紧密连接、间隙连接是睾丸性状调控关键KEGG通路。研究结果为地方鸡种睾丸质量性状选育提供了基础依据。展开更多
文摘In order to</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> study the meat quality characteristics of </span><span style="font-family:Verdana;">Ningdu</span><span style="font-family:Verdana;"> yellow rooster, the 7 indexes of 120 healthy </span><span style="font-family:Verdana;">Ningdu</span><span style="font-family:Verdana;"> yellow rooster</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> after </span><span style="font-family:Verdana;">slaughter</span><span style="font-family:Verdana;"> at the age of 16 weeks were determined, and correlation analysis, regression analysis </span><span style="font-family:Verdana;">and</span><span style="font-family:Verdana;"> principal component analysis were carried out among the indexes.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The results showed that the variation coefficient of PH value was smaller than that of water drop rate and meat colorimetric, and the lactic acid produced by anaerobic glycolysis of glycogen in chicken meat was slower.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Through correlation analysis, the 24-hour drip rate was strongly correlated with the 48-hour drip rate (coefficient ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.7,</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">p</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">≤</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.05), and the other indicators were independent of each other.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">By means of</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> regression analysis, the regression equation (fitting degree R</span><sup><span style="font-family:Verdana;">2</span></sup></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">=</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">0.984) of </span><span style="font-family:Verdana;">24</span><span style="font-family:Verdana;">- and 48-hour drip rate was established.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Principal component analysis synthesized 7 indicators into 3 principal components, with a cumulative contribution rate of 70.13%, indicating that the meat quality of Ningdu Yellow chicken rooster is mainly selected by water drop rate, PH value </span><span style="font-family:Verdana;">and</span><span style="font-family:Verdana;"> meat color test.
基金supported by China Geological Survey (DD20190083, DD20221662)National Natural Science Foundation of China (41904044, 41974064, 42174076, 41874069)Youth Innovation Promotion Association CAS (2019330).
文摘The Ningdu basin,located in southern Jiangxi province of southwest China,is one of the Mesozoic basin groups which has exploration prospects for geothermal energy.A study on the detailed velocity structure of the Ningdu basin can provide important information for geothermal resource exploration.In this study,we deployed a dense seismic array in the Ningdu basin to investigate the 3D velocity structure and discuss implications for geothermal exploration and geological evolution.Based on the dense seismic array including 35 short-period(5 s-100 Hz)seismometers with an average interstation distance of~5 km,Rayleigh surface wave dispersion curves were extracted from the continuous ambient noise data for surface wave tomographic inversion.Group velocity tomography was conducted and the 3D S-wave velocity structure was inverted by the neighborhood algorithm.The results revealed obvious low-velocity anomalies in the center of the basin,consistent with the low-velocity Cretaceous sedimentary rocks.The basement and basin-controlling fault can also be depicted by the S-wave velocity anomalies.The obvious seismic interface is about 2 km depth in the basin center and decreases to 700 m depth near the basin boundary,suggesting spatial thickness variations of the Cretaceous sediment.The fault features of the S-wave velocity profile coincide with the geological cognition of the western boundary basincontrolling fault,which may provide possible upwelling channels for geothermal fluid.This study suggests that seismic tomography with a dense array is an effective method and can play an important role in the detailed investigations of sedimentary basins.
文摘试验旨在探讨成年宁都黄鸡睾丸的蛋白质表达谱,筛选大小睾丸个体差异表达蛋白和功能通路,为繁殖性能选育提供基础数据。以6只22周龄宁都黄鸡的睾丸组织为研究对象,分为大睾丸组(H-TES)和小睾丸组(L-TES),采用串联质量标签(tandem mass tags, TMT)技术对2组个体睾丸蛋白质进行差异表达、功能富集和基因互作分析,初步筛选候选蛋白质,分析这些蛋白质在6个个体的表达量与6个睾丸性状指标(左侧睾丸重、右侧睾丸重、总睾丸重、左侧睾丸指数、右侧睾丸指数、总睾丸指数)之间的相关性,分析候选蛋白质的功能。结果表明,宁都黄鸡睾丸中共鉴定到4 683个蛋白质,筛选到144个差异表达蛋白质。GO分析结果表明,差异蛋白质主要参与精子结构组成,具有尿蛋白-谷氨酸连接酶活性、胸腺嘧啶结合、脱氢抗坏血酸跨膜转运体活性等功能。差异蛋白质显著富集的KEGG通路为精氨酸和脯氨酸代谢、泛酸和辅酶A的生物合成、β-丙氨酸代谢等。蛋白质互作网络中有34个差异蛋白质,初步筛选出30个候选蛋白质。结合相关性分析和文献查阅,筛选出16个关键候选蛋白质,即SPAG6、TPPP2、ENKUR、ODF2、SAXO1、TCP11、DNALI1、CCDC63、TSSK3、TEKT2、TEKT3、ALDH2、DNAH5、CCDC40、CCDC39、DNAH10。结合关键候选蛋白质的功能,初步确定精氨酸和脯氨酸代谢、泛酸和辅酶A生物合成、β-丙氨酸代谢、紧密连接、间隙连接是睾丸性状调控关键KEGG通路。研究结果为地方鸡种睾丸质量性状选育提供了基础依据。
