Evaluation of rice (Oryza sativa L.) advance uniform lines using multivariate analysis
Principal component analysis is a multivariate statistical technique used to observe the
variance and to assess the relative influence of various traits for aggregate variability. In this
study, ten advance uniform rice lines were grown for two consecutive years and
morphometric data on eight yield and yield related attributes were collected. The principle
component analysis was performed on the means of two years' agronomic data to identify
the patterns of variation and to determine the selection criteria. The first five principle …
variance and to assess the relative influence of various traits for aggregate variability. In this
study, ten advance uniform rice lines were grown for two consecutive years and
morphometric data on eight yield and yield related attributes were collected. The principle
component analysis was performed on the means of two years' agronomic data to identify
the patterns of variation and to determine the selection criteria. The first five principle …
Evaluation of rice (Oryza sativa L.) advance uniform lines using multivariate analysis.
AR Awais Riaz, TB Tahira Bibi, QR Qasim Raza… - 2018 - cabidigitallibrary.org
Principal component analysis is a multivariate statistical technique used to observe the
variance and to assess the relative influence of various traits for aggregate variability. In this
study, ten advance uniform rice lines were grown for two consecutive years and
morphometric data on eight yield and yield related attributes were collected. The principle
component analysis was performed on the means of two years' agronomic data to identify
the patterns of variation and to determine the selection criteria. The first five principle …
variance and to assess the relative influence of various traits for aggregate variability. In this
study, ten advance uniform rice lines were grown for two consecutive years and
morphometric data on eight yield and yield related attributes were collected. The principle
component analysis was performed on the means of two years' agronomic data to identify
the patterns of variation and to determine the selection criteria. The first five principle …
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