Selection indexes using principal component analysis for reproductive, beef and milk traits in Simmental cattle

Amaya, Alejandro; Martínez, Rodrigo; Cerón-Muñoz, Mário Fernando

doi:10.1007/s11250-021-02815-y

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…PCA was used to extract components from evaluation indexes based on SPSS 18.0 software, and the eigenvalue matrix of the evaluation indexes was obtained. The cumulative variance contribution rate of the first six principal components was 82.26%, and λ > 1, indicating that it could represent most of the original evaluation indexes ( 34 , 35 ). The variance contribution rate indicates the dispersion degree of different index traits in the principal component.…”

Section: Resultsmentioning

confidence: 97%

Establishment of a quality evaluation system of sweet potato starch using multivariate statistics

Zhang²,

Yue³

et al. 2022

Front. Nutr.

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BackgroundThe quality of starch greatly affects the quality of processed products. There are many indexes for quality evaluation of starch. Currently, amylose content is considered the chief index in the quality evaluation of sweet potato starch, which is entirely based on tradition (experience) method. The existing evaluation standards lack quality evaluation standards for sweet potato starch.PurposeTo screen reasonable evaluation indexes of sweet potato starch, and establish a scientific and systematic evaluation system of sweet potato starch.MethodsTwenty-two components and quality indexes of sweet potato starch were measured. The evaluation indexes of sweet potato starch were screened based on a statistical description, correlation analysis, and principal component analysis (PCA), and a quality evaluation model of sweet potato starch for brewing was established based on analytic hierarchy process. The calculated values of the model were verified by linear fitting with standardized sensory evaluation values.ResultsThe coefficient of variation of total starch content (%), amylose content (%), amylopectin content (%), L* value, ΔE, water absorption capacity (g/g), and pasting temperature was less than 6%, while the coefficient of variation of other indexes was larger. In addition, there were different degrees of correlation among the indexes. PCA was used to identify interrelated variables, and the first six principal components together account for 82.26% of the total variability. Then, seven core indexes — setback (cp), rate of regression (%), ratio of amylose to amylopectin (%), gel strength (kgf/cm2), a* value, ash content (%), and solubility (%) — were selected from the six principal components according to the load value of the rotation matrix. These seven core indexes replaced the original 22 indexes to simplify the evaluation of sweet potato starch. The quality evaluation model of sweet potato starch was Y = 0.034X2 + 0.321X6 + 0.141X8 + 0.08X17 + 0.023X19 + 0.08X21 + 0.321X22.ConclusionThe comprehensive evaluation system of sweet potato starch can accurately predict the quality of sweet potato starch. The development of such a system is of great significance to the post-harvest processing of high-starch sweet potato and the breeding of high-quality and high-starch sweet potato varieties.

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Section: Resultsmentioning

confidence: 97%

Establishment of a quality evaluation system of sweet potato starch using multivariate statistics

Zhang²,

Yue³

et al. 2022

Front. Nutr.

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“…Hence, only Bali and Simbal that are adequate to use the principal component to characterize the parameters. The use of the selected principal component allows constructing improvement simultaneously for several variables without losing much information (Amaya et al, 2021).…”

Section: Principal Component and Canonical Discriminant Analysismentioning

confidence: 99%

Body Morphometric Characterization in Conjunction with Reproductive Performance of Bali and Bali Cross Cattle in Indonesia

Baliarti,

Auliya Rozzaq,

Tiya Warman

et al. 2022

AAVS

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B ali Cattle (Bos javanicus) is Indonesian indigenous cattle originated from Bali Island, Indonesia but spread over the archipelago. They are small-sized meat-type cattle that are known to be highly adaptable to harsh con-ditions and low quality feed resources (Mohamad et al., 2012;Sutarno and Setyawan, 2016). However, a previous study found that Bali Cattle reared outside Bali Island mostly have smaller body weights than those reared in Bali (Widyas et al., 2017). To improve the production performance, in several areas outside Bali, crossbreeding is ap-

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Selection indexes to optimise genetic and economic progress in Colombian Blanco Orejinegro cattle

2022

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Selection indexes using principal component analysis for reproductive, beef and milk traits in Simmental cattle

Cited by 7 publications

References 21 publications

Establishment of a quality evaluation system of sweet potato starch using multivariate statistics

Establishment of a quality evaluation system of sweet potato starch using multivariate statistics

Body Morphometric Characterization in Conjunction with Reproductive Performance of Bali and Bali Cross Cattle in Indonesia

Selection indexes to optimise genetic and economic progress in Colombian Blanco Orejinegro cattle

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