Prediction of Parental Genetic Compatibility to Enhance Flavor Attributes of Peanuts

Pattee, H. E.; Isleib, T. G.; Giesbrecht, Francis G.; Zhang, Cui

doi:10.1021/bk-2002-0829.ch017

Cited by 6 publications

(8 citation statements)

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“…BLUP is a standard method for the prediction of genotypic values free of any environmental effects. Its use is relatively limited in plant breeding compared to animal breeding, but has been used as a tool associated with progeny selection in several crops (Piepho et al, 2008) and has been used for the detection of transgressive segregants in peanuts (Pattee et al, 2002) and mungbean (Jambormias et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Transgressive Segregation, Heterosis and Heritability for Yield-Related Traits in a Segregating Population of Pisum Sativum L.

et al. 2018

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SUMMARYPea is a self-pollinated, diploid (2n = 14), annual crop produced worldwide for human consumption and animal feed. The exploitation of maximum genetic potential from available pea resources implies the knowledge of genetic parameters of yield components. Hence, the present study was conducted in a cross between two pea varieties, namely DDR14 and Explorer, its F2 progeny and F3 families to find out transgressive segregants and to determine the magnitude of narrow sense heritability and heterosis. The high narrow sense heritability values obtained indicated that rapid gain could be achieved through selection for the different traits; however, the presence of genotype x environment interaction could limit the correspondence of these estimated values with the observed ones. The selection of lines through their phenotypic values is influenced by environmental and error effects. Best linear unbiased prediction (BLUP) was used for the prediction of genotypic values using morphological data from different years, allowing the correction for environmental effects. These estimates were used for genetic analysis of the traits. Heterosis was observed for number of pods (27.1%) and number of seeds (23.3%), characters that have a direct effect on yield. The cross also showed high frequency of transgressive segregation for these characters in F3 generation (15.5% and 13.6%, respectively). There were 12.73% families transgressive for two or more characters, with genotypic values of 49.82–64.41 for number of pods and 153.75–189.59 for seed number. The crossing between Explorer and DDR14 provided a base for the selection of superior progeny.

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Section: Discussionmentioning

confidence: 99%

Transgressive Segregation, Heterosis and Heritability for Yield-Related Traits in a Segregating Population of Pisum Sativum L.

et al. 2018

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“…These predictions were found to be more closely correlated with actual cross performance than the mid-parent value. Pattee et al (2001Pattee et al ( , 2002 used a similar approach in peanuts (Arachis hypogaea), and Souza et al (2000) in peaches (Prunus persica). It should be stressed that setting up the A matrix based on historical records implies reference to some base population, starting from which selection has been exercised.…”

Section: Pedigree-based Blup Using the Coefficient Of Coancestrymentioning

confidence: 99%

BLUP for phenotypic selection in plant breeding and variety testing

et al. 2007

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Best linear unbiased prediction (BLUP) is a standard method for estimating random effects of a mixed model. This method was originally developed in animal breeding for estimation of breeding values and is now widely used in many areas of research. It does not, however, seem to have gained the same popularity in plant breeding and variety testing as it has in animal breeding. In plants, application of mixed models with random genetic effects has up until recently been mainly restricted to the estimation of genetic and nongenetic components of variance, whereas estimation of genotypic values is mostly based on a model with fixed effects. This paper reviews recent developments in the application of BLUP in plant breeding and variety testing. These include the use of pedigree information to model and exploit genetic correlation among relatives and the use of flexible variance-covariance structures for genotype-by-environment interaction. We demonstrate that BLUP has good predictive accuracy compared to other procedures. While pedigree information is often included via the so-called numerator relationship matrix ðAÞ, we stress that it is frequently straightforward to exploit the same information by a simple mixed model without explicit reference to the A-matrix.

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“…Eleven cultivars and breeding lines were chosen for use as parents of a half-diallel cross. Nine of the parents were selected on the basis of BLUPs of breeding value for the roasted peanut, sweet, and bitter sensory attributes (Pattee et al, 2001(Pattee et al, , 2002a; they included two runner-type lines [F439-2-3-2-1, a sibling of Florunner (Norden et al, 1969), and Andru 93 (Gorbet and Knauft, 1995)], four virginia-types [Florida breeding line UF714021, a component of the Altika cultivar (Norden and Gorbet, 1974), NCSU breeding lines N97054J selected from cross X90053 (Pattee et al, 2002b) and NC Ac 18457, and landrace selection White's Runner], two spanish-type cultivars [Pearl and Pronto (Banks and Kirby, 1983)], and one valencia-type cultivar [New Mexico Valencia C (Hsi, 1980)]. In addition to the parents predicted to have positive effects on peanut flavor, two additional parents were included because of their widespread use among peanut growers: runnertype cultivar Georgia Green (Branch, 1996) and virginia-type cultivar Perry .…”

Section: Methodsmentioning

confidence: 99%

“…In addition to the parents predicted to have positive effects on peanut flavor, two additional parents were included because of their widespread use among peanut growers: runnertype cultivar Georgia Green (Branch, 1996) and virginia-type cultivar Perry . Georgia Green was later found to have positive BLUPs of breeding value for flavor (Pattee et al, 2003) while Perry was a cultivar with negative BLUPs (Pattee et al, 2001(Pattee et al, , 2002a. The 11 parents were crossed in a half-diallel mating in the summer of 2001 in the greenhouse at the NCSU campus in Raleigh, NC.…”

Section: Methodsmentioning

confidence: 99%

“…Similarly, runner-type peanuts have superior average scores for the sweet and bitter attributes. Best linear unbiased prediction (BLUP) has been used to identify peanut germplasm with putatively beneficial breeding value for sensory attributes roasted peanut, sweet, and bitter (Pattee et al, 2001(Pattee et al, , 2002a(Pattee et al, , 2003, but the practical utility of those predictors of breeding value has not been validated.…”

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A Note on Combining Ability for Sensory Quality of Peanut

Isleib¹,

Pattee²

2007

Peanut Science

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The objective of this study was to empirically estimate the combining abilities of peanut (Arachis hypogaea L.) lines for sensory quality and to compare those combining abilities with best linear unbiased predictors (BLUPs) of breeding value and with mean performance of the parents as lines per se. Eleven cultivars and breeding lines were chosen for use as parents of a half-diallel cross, nine on the basis of BLUPs of breeding value for the roasted peanut, sweet, and bitter sensory attributes. Bulk F 4 populations from 33 crosses were grown in a replicated field trial at Lewiston, NC in 2004. An SMK sample from each plot was roasted, ground to paste, and evaluated by an eight-member, trained sensory panel. There was significant variation among test entries, among crosses, and among general combining abilities (GCAs) for intensity of the roasted peanut and sweet sensory attributes, but not for bitter. UF714021, a component of the Altika cultivar, was the best parent for improvement of roasted peanut and bitter attribute intensities and the old spanish-type cultivar Pearl for improvement of sweet. There were, however, several other parents not significantly different from these for each of the attributes. Correlations of the empirically determined GCAs with the previously predicted BLUPs of breeding values were positive but moderate in magnitude. For roasted peanut, adjusted genotypic means were slightly superior to the BLUPs as indicators of GCA while for sweet and bitter the BLUPs were slightly superior.

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Prediction of Parental Genetic Compatibility to Enhance Flavor Attributes of Peanuts

Cited by 6 publications

References 0 publications

Transgressive Segregation, Heterosis and Heritability for Yield-Related Traits in a Segregating Population of Pisum Sativum L.

Transgressive Segregation, Heterosis and Heritability for Yield-Related Traits in a Segregating Population of Pisum Sativum L.

BLUP for phenotypic selection in plant breeding and variety testing

A Note on Combining Ability for Sensory Quality of Peanut

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