Abstract
Abstract The early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different methods for the selection of individual plants in early wheat breeding stages, compare the efficiency of each method, and suggest the most suitable one for implementation in wheat breeding programs. An experiment with 56 F 2 segregant populations derived from a complete diallel, together with eight parents, was conducted and evaluated for grain yield (g pL −1 ). Analysis of variance and mixed model analysis were applied to obtain the genetic parameters and predict genotypic values. Four selection strategies were designed: mass selection and other three mixed model‐based methods (individual best linear unbiased prediction [BLUPI]; simulated individual best linear unbiased prediction [BLUPIS]; and modified simulated individual best linear unbiased [BLPISM]). The genotypic variability among and within populations allowed the selection of superior genotypes. Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI. The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing the evaluation of individual plants.
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Claims 5
Claim · model-written summary
Genotypic variability within and among populations enabled selection of superior wheat genotypes.
- Taxon
- wheat
Triticum aestivumt0 - Outcome
- selection of superior genotypese0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The genotypic variability among and within populations allowed the selection of superior genotypes.”
t0“wheat genotypes”
Claim · model-written summary
BLUPIS was equivalent to BLUPI in regression and rank-correlation analyses.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- equivalent to BLUPIe0
- Comparator
- BLUPIe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI.”
t0“wheat genotypes”
Claim · model-written summary
BLUPISM was equivalent to BLUPI in regression and rank-correlation analyses.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- equivalent to BLUPIe0
- Comparator
- BLUPIe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI.”
t0“wheat genotypes”
Claim · model-written summary
The authors recommend BLUPIS for selecting plants in populations with positive genetic effects without evaluating individual plants.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- BLUPISe0
- Qualifier
- populations with positive genetic effectse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing the evaluation of individual plants.”
t0“wheat genotypes”
Claim · model-written summary
The authors recommend BLUPISM for selecting plants in populations with positive genetic effects without evaluating individual plants.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- BLUPISMe0
- Qualifier
- populations with positive genetic effectse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing the evaluation of individual plants.”
t0“wheat genotypes”