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A promising resilience parameter for breeding:the use of weight and feed trajectories in growing pigs 被引量:1
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作者 Wim Gorssen Carmen Winters +7 位作者 Roel Meyermans Lea Chapard Katrijn Hooyberghs Steven Janssens Abe Huisman Katrijn Peeters Han Mulder Nadine Buys 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2023年第6期2363-2382,共20页
Background Increasing resilience is a priority in modern pig breeding.Recent research shows that general resilience can be quantified via variability in longitudinal data.The collection of such longitudinal data on we... Background Increasing resilience is a priority in modern pig breeding.Recent research shows that general resilience can be quantified via variability in longitudinal data.The collection of such longitudinal data on weight,feed intake and feeding behaviour in pigs has been facilitated by the development of technologies such as automated feeding stations.The goal of this study was to investigate resilience traits,which were estimated as deviations from longitudinal weight,feed intake and feeding behaviour data during the finishing phase.A dataset with 324,207 records between the age of 95 and 155 days on 5,939 Pietrain pigs with known pedigree and genomic information was used.We provided guidelines for a rigid quality control of longitudinal body weight data,as we found that outliers can significantly affect results.Gompertz growth curve analysis,linear modelling and trajectory analyses were used for quantifying resilience traits.Results To our knowledge,this is the first study comparing resilience traits from longitudinal body weight,feed intake and feeding behaviour data in pigs.We demonstrated that the resilience traits are lowly to moderately heritable for deviations in body weight(h2=2.9%–20.2%),in feed intake(9.4%–23.3%)and in feeding behaviour(16.2%–28.3%).Additionally,these traits have good predictive abilities in cross-validation analyses.Deviations in individual body weight and feed intake trajectories are highly correlated(rg=0.78)with low to moderate favourable genetic correlations with feed conversion ratio(rg=0.39–0.49).Lastly,we showed that some resilience traits,such as the natural logarithm of variances of observed versus predicted body weights(lnvarweight),are more robust to lower observation frequencies and are repeatable over three different time periods of the finishing phase.Conclusions Our results will help future studies investigating resilience traits and resilience-related traits.Moreover,our study provides first results on standardization of quality control and efficient data sampling from automated feeding station data.Our findings will be valuable for breeding organizations as they offer evidence that pigs’general resilience can be selected on with good accuracy.Moreover,this methodology might be extended to other species to quantify resilience based on longitudinal data. 展开更多
关键词 DEVIATIONS GENETICS gompertz growth curves HERITABILITY PIGS Predictive ability RESILIENCE Trajectory analysis
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华中地区畜牧业温室气体排放特征分析与预测 被引量:16
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作者 谢婷 张慧 +3 位作者 何家军 刘煜 黄凯葳 宋明伟 《中国环境科学》 EI CAS CSCD 北大核心 2020年第2期564-572,共9页
采用IPCC推荐的温室气体清单计算方法,从温室气体排放总量、排放强度等方面分析了华中地区畜牧业温室气体排放现状;根据不同牲畜饲养数量,采用Logistic growth model、Gompertz curve model等非线性时间序列模型模拟2030年华中地区牲畜... 采用IPCC推荐的温室气体清单计算方法,从温室气体排放总量、排放强度等方面分析了华中地区畜牧业温室气体排放现状;根据不同牲畜饲养数量,采用Logistic growth model、Gompertz curve model等非线性时间序列模型模拟2030年华中地区牲畜数量,并计算畜牧业温室气体排放量.结果显示,2015年华中地区温室气体排放为6289.09万t CO2-eq,单位GDP温室气体排放量为1.13万t CO2-eq/亿元,单位肉类产量排放强度为3.73t CO2-eq/t;2030年华中地区畜牧业温室气体排放总量约为4990.06(温室气体排放预测1)~5932.74万tCO2-eq(温室气体排放预测2).应当进一步优化畜牧业饲养技术及条件来提高产业温室气体排放效率,科学合理的规划不同牲畜的饲养规模,优化牲畜饲养结构来降低畜牧业温室气体排放量. 展开更多
关键词 畜牧业温室气体排放 Logistic growth模型 gompertz curve模型 牲畜饲养结构
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