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Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies
Seema Yadav1, Elizabeth M Ross1, Xianming Wei2
1Queensland Alliance for Agriculture and Food Science, The University of Queensland, Brisbane, QLD, Australia.
Optimizing mate allocation in sugarcane breeding by considering non-additive and heterozygosity effects significantly boosts clonal performance. This strategy enhances traits like tonnes of cane per hectare (TCH) and commercial cane sugar (CCS), while also reducing inbreeding depression.
Area of Science:
- Plant breeding
- Quantitative genetics
- Agricultural science
Background:
- Mate-allocation strategies can enhance progeny performance by utilizing non-additive genetic effects.
- These strategies are particularly beneficial for clonally propagated crops like sugarcane, prioritizing predicted progeny merit over parental breeding value.
Purpose of the Study:
- To compare mate-allocation strategies that utilize non-additive and heterozygosity effects against those focusing solely on additive effects for optimizing breeding value.
- To maximize clonal performance in sugarcane by exploring advanced mate-allocation approaches.
Main Methods:
- Utilized phenotypic and genotypic data from 2,909 sugarcane clones.
- Simulated families from 1,225 crosses, predicting progeny values using GBLUP (additive effects) and extended-GBLUP (additive, non-additive, heterozygosity effects).
- Employed integer linear programming for optimal mate-allocation and analyzed traits: tonnes of cane per hectare (TCH), commercial cane sugar (CCS), and Fibre.
Main Results:
- Mate-allocation strategies based on clonal performance significantly improved predicted progeny values: 57% for TCH, 12% for CCS, and 16% for Fibre compared to breeding value-based approaches.
- Exploiting non-additive and heterozygosity effects led to superior clonal performance but a decline in additive gain for TCH, attributed to epistasis.
- Selecting crosses based on clonal performance for TCH resulted in significantly lower progeny inbreeding coefficients than random mating.
Conclusions:
- Mate-allocation strategies leveraging non-additive and heterozygosity effects are highly effective for enhancing clonal performance in sugarcane.
- These advanced strategies successfully mitigate inbreeding depression, offering a significant advantage over traditional methods.
- The findings recommend implementing these sophisticated mate-allocation approaches in breeding programs for clonally propagated crops to improve overall crop yield and quality.
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