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|Title:||STUDIES ON INBREEDING DEPRESSION AND COMBINING ABILITY IN GARDEN PEA (Pisum sativum L.)|
|Abstract:||The present investigation entitled “Studies on inbreeding depression and combining ability in garden pea (Pisum sativum L.)” was carried out at the Vegetable Research Farm, Department of Vegetable Science and Floriculture, CSK HPKV Palampur during rabi 2016-17 to derive information on extent of residual heterosis, inbreeding depression and nature of gene action following line × tester analysis. The experimental material comprised of five diverse lines of pea viz., Line 12, Line 13, Line 14, Line 15 and Line 17; three testers namely, Matar Ageta, Palam Triloki and Arkel and F2 generation of 15 crosses. Cross L13 × T2 exhibited maximum significant negative residual heterosis over Line12 (BP) and Matar Ageta (SC1) for days to 50% flowering and days to first picking. Cross L17 × T2 was most promising for pod yield per plant and related traits like number of pods per plant and number of primary branches per plant. Estimates of GCA effects among parental lines revealed that Line 17 was the best general combiner for days to 50% flowering, pod length, number of pods per plant and pod yield per plant. Line 14 was the best general combiner for pod length and number of seeds per pod. Line 13 was the best general combiner for days to 50% flowering and total soluble solids. Among testers, Palam Triloki (T2) was the best general combiner for days to 50% flowering and days to first picking. The estimates of SCA variances were much higher than the GCA variances for all the characters studied except for days to first picking and pod yield per plant, indicating importance of non-additive gene effects. On the basis of mean performance and residual heterosis cross L13 × T2 was found to be the best with respect to earliness and pod length. Cross L17 × T2 exhibited highest number of pods per plant and pod yield per plant.|
|Theme:||Combining ability in garden pea|
|Appears in Collections:||Theses|
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|SANDEEP KUMAR MSc VEGETABLE Sc 2018.pdf||1.97 MB||Adobe PDF||View/Open|
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