Principal component analysis for agronomic traits in multi-cut forage sorghum

The present investigation in fodder sorghum was conducted in parental entries for estimation of principal components involving thirteen yield and component traits. Four principal components (PCs) were identified reporting more than one Eigen values and explaining 86.51 percent of the cumulative variance attributing to divergence. The biplot constructed using first two principal components (PC1 and PC2) have identified traits exhibiting positive and negative correlation with total green fodder yield per plant. Based on the angle between trait vectors, the traits viz., number of leaves per plant at first cut, leaf length at first cut, number of nodes per plant at first, plant height at first and second cut, and number of tillers per plant at third cut have exhibited high positive correlation with total green fodder yield per plant. Thus, these traits can be considered important for selections in fodder sorghum hybrid breeding programmes.

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Publication Details

Journal
International Journal of Research in Agronomy
Published
2024-10-01
DOI
https://doi.org/10.33545/2618060x.2024.v7.i11a.1919
Primary Topic
Ruminant Nutrition and Digestive Physiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Principal component analysis for agronomic traits in multi-cut forage sorghum

T. Shashikala, Ephrem Habyarimana, S. Vanisri, Sonal Chavan et al.
International Journal of Research in Agronomy
Ruminant Nutrition and Digestive Physiology
article

Principal component analysis for agronomic traits in multi-cut forage sorghum

T. Shashikala, Ephrem Habyarimana, S. Vanisri, Sonal Chavan, Ramesh Thatikunta, Nand Kishore
article en

Abstract

The present investigation in fodder sorghum was conducted in parental entries for estimation of principal components involving thirteen yield and component traits. Four principal components (PCs) were identified reporting more than one Eigen values and explaining 86.51 percent of the cumulative variance attributing to divergence. The biplot constructed using first two principal components (PC1 and PC2) have identified traits exhibiting positive and negative correlation with total green fodder yield per plant. Based on the angle between trait vectors, the traits viz., number of leaves per plant at first cut, leaf length at first cut, number of nodes per plant at first, plant height at first and second cut, and number of tillers per plant at third cut have exhibited high positive correlation with total green fodder yield per plant. Thus, these traits can be considered important for selections in fodder sorghum hybrid breeding programmes.

International Journal of Research in AgronomyVol. 7(11)
Acharya N. G. Ranga Agricultural University (IN), Indian Institute of Rice Research (IN), Professor Jayashankar Telangana Agricultural University (IN), International Crops Research Institute for the Semi-Arid Tropics (IN)
Acharya N.G.Ranga Agricultural University
Zero hunger
Openalex Percentile: Top 73%
Ruminant Nutrition and Digestive Physiology
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Principal component analysis for agronomic traits in multi-cut forage sorghum — T. Shashikala, Ephrem Habyarimana, et al. · International Journal of Research in Agronomy (2024) | TGRS Research Map | TGRS