Generation mean analysis to estimate genetic parameters of some traits for riceweed competitiveness

  • Moukoumbi Y
  • Sie M
  • Dieng I
  • et al.
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Abstract

Weeds are the most widespread biotic production constraint of rice in Africa and one of the major factors limiting grain yield. An efficient breeding strategy could be particularly important for improving weed management in sub-Saharan Africa (SSA) because most smallholder rice farmers use few external inputs. To understand rice weed competitiveness, experiments on reciprocal interspecific crosses derived from FKR19 (Oryza sativa) and CG20 (Oryza glaberrima) were carried out to estimate gene effects and heritability of traits: plant height at five leaves, plant height 30 days after transplanting, plant height at maturity, number of tillers at 30 and 60 DAT, number of fertile tillers, width of leaves at 80 DAT and at maturity, and length of leaves at 80 DAT and at maturity for rice–weed competitiveness. Six generations – P 1 , P 2 , F 1 , F 2 , BC 1 F 1 and BC 2 F 1 – were raised and subjected to generation mean analysis. The lowest heterosis of F 1 was obtained in both crosses (CG20/FKR19 and FKR19/CG20), except for plant height at 30 days after transplanting and leaf width at maturity in the CG20/FKR19 cross. The majority of traits displayed higher dominance gene effects (H 5_L , H 30 and L _80 for CG20/FKR19; W _mat and L _mat for FKR19/CG20) than additive gene effects; the latter were slight and non-significant for the majority of traits. Duplicate epistasis was observed for the number of tillers 30 days after transplanting and leaf length at maturity and plant height at maturity. Additive genetic variance values were higher in CG20/FKR19, revealing that the CG20 variety can be used as a donor parent. Plant height at maturity, length of leaves at 80 DAT and at maturity showed high narrow-sense heritability (h n 2 >0.70), influencing weed competitiveness.

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APA

Moukoumbi, Y. D., Sie, M., Dieng, I., Yao, K. N., & Ahanchede, A. (2015). Generation mean analysis to estimate genetic parameters of some traits for riceweed competitiveness. Journal of Plant Breeding and Crop Science, 7(6), 163–169. https://doi.org/10.5897/jpbcs2014.0450

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