Paper · 2024 · Genetics

Genomic prediction of heterosis, inbreeding control, and mate allocation in outbred diploid and tetraploid populations

Jeffrey B Endelman

7
claims
13
verbatim quotes
13
citations
2
research areas
—
Not open access

Abstract

Breeders have long appreciated the need to balance selection for short-term genetic gain with maintaining genetic variance for long-term gain. For outbred populations, the method called optimum contribution selection (OCS) chooses parental contributions to maximize the average breeding value at a prescribed inbreeding rate. With optimum mate allocation (OMA), the contribution of each mating is optimized, which allows for specific combining ability due to dominance. To enable OCS and OMA in polyploid species, new theoretical results were derived to (1) predict midparent heterosis due to dominance and (2) control inbreeding in a population of arbitrary ploidy. A new convex optimization framework for OMA, named COMA, was developed and released as public software. Under stochastic simulation of a genomic selection program, COMA maintained a target inbreeding rate of 0.5% using either pedigree or genomic IBD (identity-by-descent) kinship. Significantly more genetic gain was realized with pedigree kinship, which is consistent with previous studies showing the selective advantage of an individual under OCS is dominated by its Mendelian sampling term. Despite the higher accuracy (+0.2-0.3) when predicting mate performance with OMA compared with OCS, there was little long-term gain advantage. The sparsity of the COMA mating design and flexibility to incorporate mating constraints offer practical incentives over OCS. In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings.

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Claims 7

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

COMA maintained a target inbreeding rate of 0.5% under simulation using pedigree or genomic IBD kinship.

Outcome
target inbreeding ratee1
Value
0.5%e1

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e1

“Under stochastic simulation of a genomic selection program, COMA maintained a target inbreeding rate of 0.5% using either pedigree or genomic IBD (identity-by-descent) kinship”

✓ located verbatim in the source · abstract, characters 771–946 · show in text ↑
e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑
Method / resourceobservedoriginal resultpositivesignificant (as stated)simulated

Claim · model-written summary

Significantly more genetic gain was realized with pedigree kinship than with genomic IBD kinship.

Treatment
pedigree kinshipe3
Outcome
genetic gaine3
Direction
moree3
Comparator
genomic IBD (identity-by-descent) kinshipe1

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e1

“Under stochastic simulation of a genomic selection program, COMA maintained a target inbreeding rate of 0.5% using either pedigree or genomic IBD (identity-by-descent) kinship”

✓ located verbatim in the source · abstract, characters 771–946 · show in text ↑
e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑
e3

“Significantly more genetic gain was realized with pedigree kinship”

✓ located verbatim in the source · abstract, characters 948–1014 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

OMA gave higher accuracy (+0.2-0.3) than OCS when predicting mate performance.

Outcome
accuracye4
Direction
highere4
Value
+0.2-0.3e4
Comparator
OCSe4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑
e4

“Despite the higher accuracy (+0.2-0.3) when predicting mate performance with OMA compared with OCS, there was little long-term gain advantage”

✓ located verbatim in the source · abstract, characters 1162–1303 · show in text ↑
Method / resourceobservedoriginal resultno effectsimulated

Claim · model-written summary

OMA gave little long-term gain advantage over OCS.

Outcome
long-term gain advantagee4
Qualifier
littlee4
Comparator
OCSe4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑
e4

“Despite the higher accuracy (+0.2-0.3) when predicting mate performance with OMA compared with OCS, there was little long-term gain advantage”

✓ located verbatim in the source · abstract, characters 1162–1303 · show in text ↑
Method / resourceauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The sparse COMA mating design and flexible mating constraints offer practical incentives over OCS.

Outcome
practical incentivese5
Comparator
OCSe5

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑
e5

“The sparsity of the COMA mating design and flexibility to incorporate mating constraints offer practical incentives over OCS”

✓ located verbatim in the source · abstract, characters 1305–1429 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

The optimal solution at 0.5% inbreeding involved 43 parents in the potato case study.

Outcome
optimal solutione2
Value
43 parentse2

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

The optimal solution at 0.5% inbreeding involved only 43 of the 903 possible matings in the potato case study.

Outcome
matingse2
Value
43 of the 903 possible matingse2

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e2

“In a potato breeding case study with 170 candidates, the optimal solution at 0.5% inbreeding involved 43 parents but only 43 of the 903 possible matings”

✓ located verbatim in the source · abstract, characters 1431–1583 · show in text ↑