Claim · model-written summary
Greater parent-progeny testcross correlation increased optimal candidate numbers within crosses.
- Material
- parental linese1
- Outcome
- number of test candidates within crossese0
- Direction
- increasede0
- Qualifier
- increasing correlation between the mean testcross performance of the parental lines and the mean testcross performance of their progeniese1
Zea maysNot reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“an increased number of test candidates within crosses”
e1“With an increasing correlation between the mean testcross performance of the parental lines and the mean testcross performance of their progenies”
t0“hybrid maize”
Title
Optimum schemes for hybrid maize breeding with doubled haploids
Thilo Wegenast University writing server of the University of Hohenheim (Universität Hohenheim) 2012
Other claims from this paper (16)
- Observation Selection across all S1 families or DH lines while ignoring cross structure was best for both schemes.
- Association In S1TC-DHTC, allocating more DH lines to superior crosses and families increased selection progress.
- Association Parental cross selection strongly affected optimal test-resource allocation and selection gain in both schemes.
- Association Greater parent-progeny mean testcross correlation increased the progress advantage over random parents.
- Association Greater parent-progeny testcross correlation decreased the optimal number of parental crosses.
- Method / resource BLUP gave more precise genotypic-value estimates than conventional phenotypic selection.
- Method / resource BLUP slightly increased selection progress under both ΔG and P(q) criteria.
- Method / resource Analytical solutions enabled fast calculation of optimal test-resource allocation and superseded mixed-model matrix inversions.
- Observation S1TC-DHTC optimal allocation used at least 10 test locations at both stages.
- Observation S1TC-DHTC optimal first-stage allocation used at most 10 parental crosses with 100 to 300 S1 families each.
- Observation S1TC-DHTC optimal second-stage allocation used at least 500 DH lines in few crosses and families.
- Observation DHTC required 5 to 10 times more first-stage test candidates than S1TC-DHTC.
- Observation DHTC had fewer first-stage test locations and second-stage DH lines than S1TC-DHTC.
- Recommendation The authors identify selecting parental lines to reduce parental crosses as important for optimal resource allocation and selection progress.
- Recommendation Optimal test-resource allocation is crucial to maximizing selection progress under the given parameters.
- Recommendation Marker information and BLUP-based genomic selection could enable more efficient hybrid maize selection strategies.