scholarly journals Combining ability and gene action in sesame (Sesamum indicum L) elite genotypes by diallel mating design

2016 ◽  
Vol 8 (11) ◽  
pp. 250-256
Author(s):  
Okello Anyanga Walter ◽  
Rubaihayo Patrick ◽  
Gibson Paul ◽  
Okori Patrick
2021 ◽  
Author(s):  
Md Al-Mamun ◽  
RAFII Y. MOHD. ◽  
MISRAN AZIZAH ◽  
BERAHIM ZULKARAMI ◽  
AHMAD ZAITON ◽  
...  

Abstract Nine morphologically distinct kenaf genotypes were hybridized to produce 36 hybrids following a half diallel mating design. The combining ability and gene action of 15 yield and yield components were assessed in hybrids and their parents across two environments. Except for the mid diameter and plant height traits, there were highly significant differences (p ≤ 0.01) between both the analysis of variance of environments and the interaction of genotype and environment. For the inheritance of these traits, additive gene effects were considerable, and the expression of these additive genes was heavily influenced by the environment. Significant differences were found for all studied traits for GCA except top diameter, and SCA except plant height and top diameter, implying the presence of both additive and non-additive gene action for the inheritance of the concerned characters. For all features except top diameter and number of nodes, the magnitude of GCA variation was significantly higher than that of SCA variance, indicating the additive gene's predominance. The parental lines P1, P3 and P4 were determined to be outstanding general combiners for fibre yield and yield-related parameters. Considering combining ability and genetic analysis study together, the crosses P1 × P4, P1 × P9, P2 × P3, P2 × P5, P4 × P6, P4 × P7, P4 × P9, P5 × P8, and P7 × P9 were found promising for their heterotic response to higher fibre yield, stick yield, seed yield and and could be useful by adopting proper strategies for future improvement in kenaf breeding programmes.


Agriways ◽  
2020 ◽  
Vol 08 (01) ◽  
pp. 45-49
Author(s):  
Ranjit Singh ◽  
Ravindra Kumar ◽  
Jujhar Singh ◽  
Raksha Pal Singh

Crop Science ◽  
2018 ◽  
Vol 58 (1) ◽  
pp. 180-191 ◽  
Author(s):  
Eugenia M. Munaro ◽  
Abelardo J. de la Vega ◽  
Karina E. D'Andrea ◽  
Carlos D. Messina ◽  
Maria E. Otegui

2017 ◽  
Author(s):  
Sarah D. Turner ◽  
Paul L. Maurizio ◽  
William Valdar ◽  
Brian S. Yandell ◽  
Philipp W. Simon

ABSTRACTCrop establishment in carrot (Daucus carota L.) is limited by slow seedling growth and delayed canopy closure, resulting in high management costs for weed control. Varieties with improved growth habit (i.e. larger canopy and increased shoot biomass) may help mitigate weed control, but the underlying genetics of these traits in carrot is unknown. This project used a diallel mating design coupled with recent Bayesian analytical methods to determine the genetic basis of carrot shoot growth. Six diverse carrot inbred lines with variable shoot size were crossed in WI in 2014. F1 hybrids, reciprocal crosses, and parental selfs were grown in a randomized complete block design (RCBD) with two blocks in CA (2015, 2016) and in WI (2015). Measurements included canopy height, canopy width, shoot biomass, and root biomass. General and specific combining abilities were estimated using Griffing’s Model I. In parallel, additive, inbreeding, epistatic, and maternal effects were estimated from a Bayesian linear mixed model, which is more robust to dealing with missing data, outliers, and theoretical constraints than traditional biometric methods. Both additive and non-additive effects significantly influenced shoot traits, with non-additive effects playing a larger role early in the growing season, when weed control is most critical. Results suggest that early season canopy growth and root size express hybrid vigor and can be improved through reciprocal recurrent selection.Article SummaryBreeding for improved competitive ability is a priority in carrot, which suffers yield losses under weed pressure. However, improvement and in-depth genetic studies for these traits relies on knowledge of the underlying genetic architecture. This study estimated heritable and non-heritable components of carrot shoot growth from a diallel mating design using a Bayesian mixed model. Results directly contribute to improvement efforts by providing estimates of combining ability, identifying a useful tester line, and characterizing the genetic and non-genetic influences on traits for improved competitive ability in carrot.


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