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- W4313207922 abstract "In mung bean, limited work has been done on yield attributes along with water use efficiency (WUE) and heat stress tolerance related traits. Realizing the significance of drought and heat stress on yield components, there is need to enhance the genetic potential of mung bean genotypes with high yield and drought and heat stress tolerance. The experimental material comprising six populations viz P1, P2, F1, F2, B1 and B2 of the cross LM 95 × EC 362096 was grown at the dryland farm of SV Agricultural College, Tirupati, Andhra Pradesh during rabi 2017 in compact family block design with two replications. The mean data obtained from six generations (P1, P2, F1, F2, B1 and B2) of selected superior cross LM 95 × EC 362096 for yield, yield components, WUE and heat stress tolerance related traits were subjected to generation mean analysis. Partitioning of generation means into six components revealed that the component mean [m] was positive and highly significant for all the traits. The results of scaling tests revealed that additive-dominance model was not sufficient to explain the inheritance of the characters studied. The inadequacy of additive-dominance model suggested the possible involvement of di-genic or higher order epistatic gene action in the expression of all the traits. It also indicated the presence of positively significant proportion of epistatic {[i], [j] and [l]} effects besides main {[d] and [h]} effects for yield, yield attributes, WUE and heat stress tolerance related traits. The findings divulged that both additive and the dominance components were important in the inheritance of yield, WUE and heat stress tolerance related components." @default.
- W4313207922 created "2023-01-06" @default.
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- W4313207922 date "2022-01-01" @default.
- W4313207922 modified "2023-09-26" @default.
- W4313207922 title "Evaluation of P1, P2, F1, F2, B1 and B2 generations of LM 95 × EC 362096 cross of mung bean for yield and yield attributes along with water use efficiency and heat stress tolerance related traits using generation mean analysis" @default.
- W4313207922 doi "https://doi.org/10.5958/2250-0499.2022.00118.5" @default.
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