用多元主成分分析法研究印度喜马拉雅地区本地绵羊品种的形态计量指数。

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-04-01 DOI:10.1017/S0967199422000636
Nusrat Nabi Khan, Nazir A Ganai, Tavsief Ahmad, Syed Shanaz, Ruksana Majid, Mohsin Ayoub Mir, Shiekh Firdous Ahmad
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引用次数: 0

摘要

采用多变量分析方法,对喜马拉雅地区5个注册羊品种3000只羊的形态特征和指标进行了分析。在相同覆盖条件下,记录了Karnah、Gurez、Poonchi、Bakerwal和Changthangi 5个品种的体长(BL)、肩高(HW)、胸围(CG)、耳长(EL)和尾长(TL)。此外,还研究了4个衍生性状(指数),包括体架指数(IBF)、胸发育指数(ITD)、Baron-Crevat指数(BCI)和体重指数(IBW)。对9个形态计量性状进行多元主成分分析(PCA)。Kaiser标准用于减少主成分的数量,以便进一步分析和解释。采用KMO检验和Bartlett球度检验评价样本的充分性。平均BL为52.15 (Changthangi) ~ 71.13 (Gurez)。HW、CG、EL和TL的估计值最高的品种分别是Gurez(63.49)、Bakerwal(84.82)、Bakerwal(7.26)和Karnah(8.18)。在衍生性状中,Gurez品种的IBF最高,估计为112.22。对数据集进行多元主成分分析,前四个主成分能够解释总方差的92.117%。KMO检验、Bartlett's球形度检验和估计群落检验表明主成分分析法对评价性状的适宜性。四个特征值大于1,并被提取以供进一步分析。除EL和TL与其他性状相关性较低外,其余性状均呈高度相关。长滩种群的BL、HW、CG和矩形体框的估定值最低。本研究确定了重要的形态特征/指数,这些特征/指数可以帮助制定对-à-vis温带喜马拉雅地区独特绵羊品种的选择标准和制定可持续的育种和保护计划。
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Morphometric indices of native sheep breeds of the Himalayan region of India using multivariate principal component analysis.

This study was performed to analyze the morphometric traits and indices in 3000 animals of five registered sheep breeds in the Himalayan region under a multivariate approach. Data were recorded under field conditions with equal coverage of the five breeds, viz., Karnah, Gurez, Poonchi, Bakerwal and Changthangi on body length (BL), height at withers (HW), chest girth (CG), ear length (EL), and tail length (TL). Furthermore, four derived traits (indices) were studied, which included an index of body frame (IBF), an index of thorax development (ITD), a Baron-Crevat index (BCI), and an index of body weight (IBW). Multivariate principal component analysis (PCA) was undertaken on nine morphometric traits. Kaiser's criterion was used to reduce the number of principal components for further analysis and interpretation. The adequacy of sampling was evaluated using Kaiser-Meyer-Olkin (KMO) test and Bartlett's test of sphericity. The mean BL ranged from 52.15 (Changthangi) to 71.13 (Gurez). The estimates of HW, CG, EL and TL were highest in Gurez (63.49), Bakerwal (84.82), Bakerwal (7.26), and Karnah (8.18) breeds, respectively. Among the derived traits, the highest IBF was observed in the Gurez breed with an estimate of 112.22. Upon multivariate PCA on the dataset, the first four principal components were able to explain 92.117% of the total variance. The KMO test, Bartlett's test of sphericity and estimated communalities showed the appropriateness of PCA on the evaluated traits. Four eigenvalues were greater than one and were extracted for further analysis. Morphometric traits were highly correlated, except for EL and TL that showed lower correlation estimates with other traits. The Changthangi population showed the lowest estimates of BL, HW, CG and rectangular body frame. The present study ascertained important morphometric traits/indices that can help in developing selection criteria and formulating sustainable breeding and conservation plans vis-à-vis the unique sheep breeds of the temperate Himalayas.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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