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首页> 外文期刊>Czech Journal of Animal Science >The effect of non-genetic factors on milk yield and composition in goats of White Short-Haired breed.
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The effect of non-genetic factors on milk yield and composition in goats of White Short-Haired breed.

机译:非遗传因素对白色短毛种山羊产奶量和组成的影响。

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The objective of the paper was to determine the effect of some non-genetic factors on milk yield and composition in goats of White Short-Haired breed (WSH); their population is largest in Slovakia. Another objective was to determine differences in the production and content of basic milk constituents in the goat population concerned using a suitable model of the analysis of covariance, in relation to lactation number and number of sucking kids. A total of 4950 lactations of goats from 64 farms wereassessed; data were acquired as part of milk records (MR) in 1995-1997. All records of WSH goats were excluded from the analysis if milking period (MP) was shorter than 150 days and longer than 325 days, if the interval between parturition and 1st milkcontrol (INT) was shorter than 10 days and longer than 70 days, and if the actual milk yield of goats was lower than 100 litres and higher than 1300 litres. Milk yield was measured after kid weaning. Other data excluded from the analysis concerned fat content lower than 2% and higher than 5.5%, average protein content lower than 2% and higher than 4% and average lactose content per milking period lower than 2% and higher than 5%. The least-squares method and several linear models with fixed effects wereused for estimation of the effect of environmental factors in adjusted data from MR. The effects of these factors: farm (F), lactation number (LN), check year (Year), season, i.e. month of parturition (Se), number of sucking kids (NSK), and of compositevariable FYS (F x Year x Se) and 2 accompanying variables (MP, INT) were estimated, as exerted on actual and standardized milk yield (AMY, SMY) and on fat, protein and lactose contents (%F, %P, %L). Standardized yield was calculated per 240-day milkingperiod. The highest determination coefficients (R2) were calculated in models with composite variable FYS; they were substantially higher for AMY and SMY (0.76-0.79) than for %F, %P and %L (0.38-0.47). If factor F was excluded from the analysis of covariance, the fall of R2 values was steep (in comparison with the other analysed factors) for both the production and milk constituents. Factors F, LN, Year, Se, and FYS had a significant effect (P < 0.001) on AMY and SMY, and a considerable effect on %F, %Pand %L. The significance of the effect of factor NSK on milk yield and composition was related to other analysed environmental factors to a large extent. The effect of the latter factor on AMY was statistically significant (P < 0.05). Neither linear norquadratic effect of MP and INT on milk yield was observed. Variability in MP was conditioned by factors Year, F and Se, being 214 days on average with a range from 151 to 314 days. In the population of WSH goats, actual milk yield after adjustment of systematic environmental effects (LSM) amounted to 396.9 litres, SMY 450.7 litres, fat content 3.54%, protein content 2.83% and lactose content 4.47%. Goats in the 1st lactation (AMY 378.3 litres, SMY 428.4 litres) produced less milk than goats in higher lactations (P < 0.001). Actual and standardized milk yield of goats in the 2nd lactation was also lower (P < 0.001) than that of goats in the 3rd and 4th lactations, when milk production was at a maximum level. The highest SMY in milking period was achieved also by goats that nursed triplets (493.3 litres). In comparison with goats nursing single kids or twins till weaning this difference was significant (P < 0.05). Goats in the 1st lactation had a higher (P < 0.001) content of proteins (2.92%) than goats in the 3rd lactation (2.86%) and in the other lactations (P < 0.01). The number of sucking kids during nursing did not have a significant effect on goat milk composition. All the data can be used to draw up proposals of new methods of breeding value estimates in WSH goats that should be used for selection aimed at faster genetic progress in milk and utilizable dry matter production.
机译:本文的目的是确定一些非遗传因素对白色短发品种(WSH)山羊产奶​​量和组成的影响。他们的人口是斯洛伐克最大的。另一个目标是使用合适的协方差分析模型来确定相关山羊种群中基本乳成分的产量和含量方面的差异,该模型涉及哺乳次数和吮吸孩子的数量。评估了来自64个农场的4950头山羊的泌乳情况。这些数据是1995-1997年的牛奶记录(MR)的一部分。如果分娩和第一次泌乳控制(INT)之间的间隔短于10天且长于70天,并且挤奶期(MP)短于150天且长于325天,则所有WSH山羊的记录均从分析中排除,并且如果山羊的实际牛奶产量低于100升且高于1300升。在孩子断奶后测量牛奶产量。分析中排除的其他数据涉及脂肪含量低于2%且高于5.5%,平均蛋白质含量低于2%且高于4%,每个挤奶期间的平均乳糖含量低于2%且高于5%。使用最小二乘法和几个具有固定效应的线性模型来估计环境因素在MR调整数据中的效应。这些因素的影响:农场(F),哺乳期数(LN),检查年数(年),季节,即分娩月(Se),吮吸孩子的人数(NSK)和综合变量FYS(F x Year x估计Se和2个伴随变量(MP,INT),分别应用于实际和标准化的牛奶产量(AMY,SMY)以及脂肪,蛋白质和乳糖含量(%F,%P,%L)。每240天的挤奶期计算标准产量。在具有复合变量FYS的模型中计算出最高确定系数(R2);对于AMY和SMY(0.76-0.79),它们明显高于%F,%P和%L(0.38-0.47)。如果协方差分析中不包括因素F,则生产成分和牛奶成分的R2值下降幅度都很大(与其他分析因素相比)。 F,LN,Year,Se和FYS因子对AMY和SMY具有显着影响(P <0.001),而对%F,%Pand%L具有显着影响。 NSK因子对牛奶产量和组成的影响的重要性在很大程度上与其他分析环境因素有关。后一个因素对AMY的影响具有统计学意义(P <0.05)。均未观察到MP和INT对产奶量的线性正交影响。 MP中的变异性受年,F和Se因子的影响,平均为214天,范围为151至314天。在WSH山羊种群中,经过系统环境影响(LSM)调整后,实际牛奶产量为396.9升,SMY 450.7升,脂肪含量3.54%,蛋白质含量2.83%和乳糖含量4.47%。第一次泌乳的山羊(AMY 378.3升,SMY 428.4升)与较高泌乳期的山羊相比,产奶量少(P <0.001)。当泌乳量达到最高水平时,第二泌乳期山羊的实际和标准化产奶量也低于第三和第四泌乳期山羊(P <0.001)。挤奶三胞胎(493.3升)的山羊也达到了挤奶期最高的SMY。与在断奶前照料山羊的单胎或双胞胎相比,这种差异是显着的(P <0.05)。第一次泌乳的山羊比第三次泌乳的山羊(2.86%)和其他泌乳的山羊(2.82%)的蛋白质含量高(P <0.001)(2.92%)。哺乳期间吸吮孩子的人数对山羊奶成分没有显着影响。所有数据都可用于拟定WSH山羊育种价值估算新方法的建议,这些方法应用于选择,以期加快牛奶中的遗传进程并利用可利用的干物质生产。

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