Analysis of variability and correlations among different forage traits in guar (Cyamopsis tetragonoloba L.Taub.)

The present study was conducted with 15 genotypes at experimental area of Punjab Agricultural University, Ludhiana during Kharif 2021 with an objective to assess the variability, correlations and path coefficients among different forage and quality traits. The traits like leaf stem ratio followed...

詳細記述

書誌詳細
出版年:Electronic Journal of Plant Breeding
第一著者: Devinder Pal Singh*, R. S. Sohu, Meenakshi Goyal and Pritpal Singh
フォーマット: 論文
言語:英語
出版事項: Indian Society of Plant Breeders 2023-03-01
主題:
オンライン・アクセス:https://www.ejplantbreeding.org/index.php/EJPB/article/view/4560
その他の書誌記述
要約:The present study was conducted with 15 genotypes at experimental area of Punjab Agricultural University, Ludhiana during Kharif 2021 with an objective to assess the variability, correlations and path coefficients among different forage and quality traits. The traits like leaf stem ratio followed by number of branches per plant, stem girth, number of leaves per plant, dry matter yield and green fodder yield exhibited high PCVand GCVvalues. High heritability (> 90%) was observed for plant height, number of branches per plant, number of leaves per plant, stem girth, days to flowering and leaf stem ratio while more than 85% heritability was observed for green fodder yield. Higher genetic advance was observed for leaf stem ratio (48.9%) followed by number of branches per plant (35.9%), stem girth (32.1%) and number of leaves per plant (25.3%). Traits like plant height (0.42), number of branches per plant (0.75), stem girth (0.61) had significant positive correlation with green fodder yield. High positive direct effects were observed for number of branches per plant (0.890), acid detergent fiber (0.620), Leaf stem ratio (0.514), dry matter yield (0.508) and number of leaves (0.419).The results revealed that traits like number of leaves per plant, leaf stem ratio and number of branches per plant are the main forage yield components which can be improved through selection.
ISSN:0975-928X