Genetic inheritance of pulp colour and selected traits of cassava (<scp><i>Manihot esculenta</i></scp> Crantz<i>)</i> at early generation selection

Nduwumuremyi, Athanase; Melis, Rob; Shanahan, Paul; Asiimwe, Theodore

doi:10.1002/jsfa.8825

Cited by 6 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonadditive effects are important in cassava, accounting for an average of 24% of genetic variance in this study. Our results are consistent with previous studies that highlight the importance of nonadditive effects for fresh root yields but not for dry matter or total carotenoid content ( Esuma et al 2016 ; Wolfe et al 2016a , 2017 ; Nduwumuremyi et al 2018 ; Andrade et al 2019 ). To our knowledge, we are the first to report partitions of trait-trait genetic co variance into additive and dominance components, though we do not comment on it in detail in this study.…”

Section: Discussionsupporting

confidence: 93%

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

et al. 2021

View full text Add to dashboard Cite

Diverse crops are both outbred and clonally propagated. Breeders typically use truncation selection of parents and invest significant time, land and money evaluating the progeny of crosses to find exceptional genotypes. We developed and tested genomic mate selection criteria suitable for organisms of arbitrary homozygosity level where the full-sibling progeny are of direct interest as future parents and/or cultivars. We extended cross variance and covariance variance prediction to include dominance effects and predicted the multivariate selection index genetic variance of crosses based on haplotypes of proposed parents, marker effects and recombination frequencies. We combined the predicted mean and variance into usefulness criteria for parent and variety development. We present an empirical study of cassava (Manihot esculenta), a staple tropical root crop. We assessed the potential to predict the multivariate genetic distribution (means, variances and trait covariances) of 462 cassava families in terms of additive and total value using cross-validation. Most variance (89%) and covariance (70%) prediction accuracy estimates were greater than zero. The usefulness of crosses were accurately predicted with good correspondence between the predicted and the actual mean performance of family members breeders selected for advancement as new parents and candidate varieties. We also used a directional dominance model to quantify significant inbreeding depression for most traits. We predicted 47,083 possible crosses of 306 parents and contrasted them to those previously tested to show how mate selection can reveal new potential within the germplasm. We enable breeders to consider the potential of crosses to produce future parents (progeny with top breeding values) and varieties (progeny with top own performance).

show abstract

Section: Discussionsupporting

confidence: 93%

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Non-additive effects are important in cassava, accounting for an average of 34% of genetic variance in this study. Our results are consistent with previous studies that highlight the importance of non-additive effects for fresh root yields but not for dry matter or total carotenoid content (Wolfe et al 2016b(Wolfe et al , 2017Esuma et al 2016;Nduwumuremyi et al 2018;Andrade et al 2019). To our knowledge, we are the first to report partitions of additive and dominance genetic covariance, though we do not comment on it in detail in this article.…”

Section: The Importance Of Non-additive Effects and The Effect On Inbsupporting

confidence: 91%

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Wolfe

Chan

Kulakow

et al. 2021

Preprint

View full text Add to dashboard Cite

Diverse crops are both outbred and clonally propagated. Breeders typically use truncation selection of parents and invest significant time, land and money evaluating the progeny of crosses to find exceptional genotypes. We developed and tested genomic mate selection criteria suitable for organisms of arbitrary homozygosity level where the full-sibling progeny are of direct interest as future parents and/or cultivars. We extended cross variance and covariance variance prediction to include dominance effects and predicted the multivariate selection index genetic variance of crosses based on haplotypes of proposed parents, marker effects and recombination frequencies. We combined the predicted mean and variance into usefulness criteria for parent and variety development. We present an empirical study of cassava (Manihot esculenta), a staple tropical root crop. We assessed the potential to predict the multivariate genetic distribution (means, variances and trait covariances) of 462 cassava families in terms of additive and total value using cross-validation. We were able to predict all genetic variances and most covariances with non-zero accuracy. We also tested a directional dominance model and found significant inbreeding depression for most traits and a boost in total merit accuracy for root yield. We predicted 47,083 possible crosses of 306 parents and contrasted them to those previously tested to show how mate selection can reveal new potential within the germplasm. We enable breeders to consider the potential of crosses to produce future parents (progeny with excellent breeding values) and varieties (progeny with top performance).Author SummaryBreeders typically use truncation selection and invest significant resources evaluating progeny to find exceptional genotypes. We extended genetic variance and trait covariance prediction to include dominance and predicting the multivariate selection index variance. We enable mate selection based on potential to produce future parents (progeny with excellent breeding values) and/or varieties (progeny with top performance). Using cross-validation, we demonstrate that genetic variances and covariances can be predicted with non-zero accuracy in cassava, a staple tropical root crop.

show abstract

“…This requires that experiments be maintained for long periods under field conditions, resulting in a costly process for selection and validation of the cassava genotypes that are promising for tolerance. Consequently, it is important to develop early phenotyping strategies that help breeders identify genotypes that provide high root yield under drought conditions (Ceballos et al 2016, Nduwumuremyi et al 2018, Kengkanna et al 2019, Wang et al 2021.…”

Section: Introductionmentioning

confidence: 99%

Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Oliveira

Borel

Pereira

et al. 2021

Crop Breed. Appl. Biotechnol.

View full text Add to dashboard Cite

The objectives of this study were to estimate genetic parameters and identify traits that contribute to early yield in Manihot esculenta Crantz. Ten traits were evaluated in two experiments, one with 138 genotypes and the other with 133, using a completely randomized block design with four replications. All genotype effects were significant. The accuracy was high for the traits, except leaf retention (0.57), and reliability ranged from 0.33 to 0.75. Root weight (RW) and number of roots (NR) showed the highest selection effectiveness (CV r ), although the estimate was less than 1. Moreover, RW and NR obtained high genetic correlation (0.70). Path analysis showed that only number of roots had a significant direct effect on root weight (0.49), and no indirect effect was found. Therefore, accessions exhibited sufficient genetic variability, and indirect selection based on early evaluation of number of roots can be applied in cassava breeding for fresh root yield, increasing gain over time.

show abstract

Genetic inheritance of pulp colour and selected traits of cassava (Manihot esculenta Crantz) at early generation selection

Cited by 6 publications

References 21 publications

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Contact Info

Product

Resources

About