Journal of Environmental and Agricultural Sciences (JEAS). Ali et al., 2019. Volume 21: 23-28

Open Access – Research Article

Some Direct and Indirect Selection Indices for Increased Yield of Peas (Pisum sativum L.)
Imtiaz Ali ^1,*, Muhammad Tariq Mahmood ^2,3, Imran Akhtar ¹, Akash Zafar ¹, Abdul Majid Khan ¹, Muhammad Zubair ⁴, Wajiha Anum ^1
1Regional Agricultural Research Institute, Bahawalpur, Pakistan
²Vegetable Research Station, Bahawalpur, Pakistan
³Gram Research Station, KallurKot, Bhakkar, Pakistan
⁴Guar Research Station, Bahawalpur, Pakistan

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Abstract: The phenotypic expression of field pea (Pisum sativum L.) in terms of grain yield results as outcome of direct and indirect effects of various agronomic traits. An experiment was conducted at Vegetable Research Station, Bahawalpur, Pakistan during 2015-2016 to measure the effects of various yield attributes on the final yield. Ten genotypes of field pea viz; DP-1-14, DP-2-14, DP-3-14, DP-4-14, DP-5-14, DP-6-14, DP-7-14, DP-8-14, No. 267 and Pea-09 were grown in field under randomized complete block design replicated thrice. Data for various traits including plant height, branches per plant, number of clusters per plant, pods per plant, pod length, pod width, seeds per pod, 100-seed weight and grain yield per plant were recorded at maturity. Statistical analysis showed that plant height had the highest values of GCV% (57.77), heritability (0.95), genetic advance and percentage of genetic advance (116), while the highest value of phenotypic coefficient of variation was exhibited by number of cluster per plant. The highest significant and positive genotypic correlation was observed between seeds per pod and pod length (88%). 100-seed weight also showed significant and positive association with seeds per pod. Path analysis revealed that pod length had the highest direct effect on seed yield of peas (7.99) followed by number of cluster per pod (5.82) and branches per plant (5.19). The above mentioned traits may be considered while attempting for improvement in pea seed yield.

Keywords: Pea, variability, correlation, path analysis, yield attributes

*Corresponding author: Imtiaz Ali: imtiaz.malghani@gmail.com

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Cite this article as:
Ali, I., M.T. Mahmood, M.I. Akhtar, A. Zafar, A. M. Khan M. Zubair and W. Anum. 2019. Some direct and indirect selection indices for increased yield of peas (Pisum sativum L.).  Journal of Environmental& Agricultural Sciences. 21:23-28. [Abstract] [View Full-Text] [Citations] 

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Copyright © Ali et al., 2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium provided the original author and source are appropriately cited and credited.

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