首页> 外文期刊>fresenius environmental bulletin >EGG AND CHICK QUALITY CHARACTERISTICS OF MEAT TYPE JAPANESE QUAIL (COTURNIX COTURNIX JAPONICA) LINE BY CANONICAL CORRELATION ANALYSIS
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EGG AND CHICK QUALITY CHARACTERISTICS OF MEAT TYPE JAPANESE QUAIL (COTURNIX COTURNIX JAPONICA) LINE BY CANONICAL CORRELATION ANALYSIS

机译:种肉的种蛋和雏鸡品质特征 日本鱼粟(Cotanicus cotanicus japonica)系蜜蜂规范相关分析

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摘要

Canonical correlation analysis is a multivariate analysis technique used to determine the relationships between two data sets with more than one variable. The use of canonical correlation analysis in biological studies about revealing the relations of quantitative characteristics can provide additional information to the investigator. In this study, total of 146 meat type female quails were used. 13 eggs were collected from each of 15-week-old and pedigree- raised quails. Four of these eggs were used for egg quality characteristics, 5 for chick quality characteristics analysis and 4 for egg protein analysis. The egg quality characteristics that are discussed in the research are; egg weight (EW), shape index (SI), shell weight (SW), albumen weight (AW), yolk weight (YW), albumen density (AD), yolk density (YD), and egg crude protein (CP) content. Chick quality features are; hatching weight (HW), daily chick weight (CW) and chick length (CL). As a result of the research, high canonical correlations (0.907) between egg quality characteristics and chick quality characteristics were determined. When egg quality characteristics are supposed as independent variables (X) and chick quality characteristics dependent variables (Y), 82.30 of the total variation in the Y variable set can be explained by the X variable set. This suggests that egg quality characteristics are likely to be determinants of chick quality characteristics. In the formation of the canonical variables in the egg quality traits set, the albumen weight had the highest contribution as the original values whereas in chick quality traits set, chick weight had the highest additive value.
机译:典型相关分析是一种多变量分析技术,用于确定具有多个变量的两个数据集之间的关系。在生物学研究中使用典型相关性分析来揭示定量特征的关系可以为研究者提供额外的信息。本研究共使用146只肉型雌性鹌鹑。从每只 15 周龄和纯种饲养的鹌鹑中收集了 13 个卵。其中4种蛋用于蛋品质特性分析,5种用于雏鸡品质特性分析,4种用于蛋蛋白分析。研究中讨论的鸡蛋质量特征是;蛋重(EW)、形状指数(SI)、蛋壳重(SW)、蛋白重(AW)、蛋黄重(YW)、蛋白密度(AD)、蛋黄密度(YD)和蛋粗蛋白(CP)含量。雏鸡质量特征是;孵化体重 (HW)、日雏鸡体重 (CW) 和雏鸡身长 (CL)。研究结果,确定了种蛋品质特征和雏鸡品质特征之间的高典型相关性(0.907)。当鸡蛋品质特征被假定为自变量(X)和雏鸡质量特征因变量(Y)时,Y变量集中总变异的82.30%可以用X变量集来解释。这表明鸡蛋质量特征可能是雏鸡质量特征的决定因素。在种蛋品质性状集中典型变量的形成中,蛋白重量作为原始值的贡献最大,而在雏鸡品质性状集中,雏鸡体重的加性值最高。

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