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Clonal breeding strategies to harness heterosis: insights from stochastic simulation
by
Endelman, Jeffrey B
, Covarrubias-Pazaran, G Eduardo
, Gaynor, R Chris
, Gemenet, Dorcus C
, Labroo, Marlee R
, Werner, Christian R
in
Autosomal dominant inheritance
/ Combining ability
/ Diploids
/ Genetics
/ Heterosis
/ Hybrids
/ Inbreeding
/ Inbreeding depression
/ Plant breeding
/ Ploidy
/ Population
/ Population genetics
/ Population studies
2022
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Clonal breeding strategies to harness heterosis: insights from stochastic simulation
by
Endelman, Jeffrey B
, Covarrubias-Pazaran, G Eduardo
, Gaynor, R Chris
, Gemenet, Dorcus C
, Labroo, Marlee R
, Werner, Christian R
in
Autosomal dominant inheritance
/ Combining ability
/ Diploids
/ Genetics
/ Heterosis
/ Hybrids
/ Inbreeding
/ Inbreeding depression
/ Plant breeding
/ Ploidy
/ Population
/ Population genetics
/ Population studies
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Clonal breeding strategies to harness heterosis: insights from stochastic simulation
by
Endelman, Jeffrey B
, Covarrubias-Pazaran, G Eduardo
, Gaynor, R Chris
, Gemenet, Dorcus C
, Labroo, Marlee R
, Werner, Christian R
in
Autosomal dominant inheritance
/ Combining ability
/ Diploids
/ Genetics
/ Heterosis
/ Hybrids
/ Inbreeding
/ Inbreeding depression
/ Plant breeding
/ Ploidy
/ Population
/ Population genetics
/ Population studies
2022
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Clonal breeding strategies to harness heterosis: insights from stochastic simulation
Paper
Clonal breeding strategies to harness heterosis: insights from stochastic simulation
2022
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Overview
To produce genetic gain, hybrid crop breeding can change the additive as well as dominance genetic value of populations, which can lead to utilization of heterosis. A common hybrid breeding strategy is reciprocal recurrent selection (RRS), in which parents of hybrids are typically recycled within pools based on general combining ability (GCA). However, the relative performance of RRS and other possible breeding strategies have not been thoroughly compared. RRS can have relatively increased costs and longer cycle lengths which reduce genetic gain, but these are sometimes outweighed by its ability to harness heterosis due to dominance and increase genetic gain. Here, we used stochastic simulation to compare gain per unit cost of various breeding strategies with different amounts of population inbreeding depression and heterosis due to dominance, relative cycle lengths, time horizons, estimation methods, selection intensities, and ploidy levels. In diploids with phenotypic selection at high intensity, whether RRS was the optimal breeding strategy depended on the initial population heterosis. However, in diploids with rapid cycling genomic selection at high intensity, RRS was the optimal breeding strategy after 50 years over almost all amounts of initial population heterosis under the study assumptions. RRS required more population heterosis to outperform other strategies as its relative cycle length increased and as selection intensity decreased. Use of diploid fully inbred parents vs. outbred parents with RRS typically did not affect genetic gain. In autopolyploids, RRS typically was not beneficial regardless of the amount of population inbreeding depression. Competing Interest Statement The authors have declared no competing interest.
Publisher
Cold Spring Harbor Laboratory Press,Cold Spring Harbor Laboratory
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