Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Accelerating genetic gains for quantitative resistance to verticillium wilt through predictive breeding in strawberry
by
Feldmann, Mitchell J.
, Pincot, Dominique D. A.
, Vachev, Mishi V.
, Famula, Randi A.
, Cole, Glenn S.
, Knapp, Steven J.
in
20th century
/ Accuracy
/ Cultivars
/ Disease
/ Fragaria
/ Fragaria ananassa
/ Genetic diversity
/ Genetic resources
/ genetic variance
/ genome
/ Genomes
/ Genomics
/ Germplasm
/ Hybrids
/ marker-assisted selection
/ Pathogens
/ Phenotypes
/ Plant breeding
/ Population
/ prediction
/ Strawberries
/ Verticillium dahliae
/ Verticillium wilt
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Accelerating genetic gains for quantitative resistance to verticillium wilt through predictive breeding in strawberry
by
Feldmann, Mitchell J.
, Pincot, Dominique D. A.
, Vachev, Mishi V.
, Famula, Randi A.
, Cole, Glenn S.
, Knapp, Steven J.
in
20th century
/ Accuracy
/ Cultivars
/ Disease
/ Fragaria
/ Fragaria ananassa
/ Genetic diversity
/ Genetic resources
/ genetic variance
/ genome
/ Genomes
/ Genomics
/ Germplasm
/ Hybrids
/ marker-assisted selection
/ Pathogens
/ Phenotypes
/ Plant breeding
/ Population
/ prediction
/ Strawberries
/ Verticillium dahliae
/ Verticillium wilt
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Accelerating genetic gains for quantitative resistance to verticillium wilt through predictive breeding in strawberry
by
Feldmann, Mitchell J.
, Pincot, Dominique D. A.
, Vachev, Mishi V.
, Famula, Randi A.
, Cole, Glenn S.
, Knapp, Steven J.
in
20th century
/ Accuracy
/ Cultivars
/ Disease
/ Fragaria
/ Fragaria ananassa
/ Genetic diversity
/ Genetic resources
/ genetic variance
/ genome
/ Genomes
/ Genomics
/ Germplasm
/ Hybrids
/ marker-assisted selection
/ Pathogens
/ Phenotypes
/ Plant breeding
/ Population
/ prediction
/ Strawberries
/ Verticillium dahliae
/ Verticillium wilt
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Accelerating genetic gains for quantitative resistance to verticillium wilt through predictive breeding in strawberry
Journal Article
Accelerating genetic gains for quantitative resistance to verticillium wilt through predictive breeding in strawberry
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Verticillium wilt (VW), a devastating vascular wilt disease of strawberry (Fragaria × $\\times$ananassa), has caused economic losses for nearly a century. This disease is caused by the soil‐borne pathogen Verticillium dahliae, which occurs nearly worldwide and causes disease in numerous agriculturally important plants. The development of VW‐resistant cultivars is critically important for the sustainability of strawberry production. We previously showed that a preponderance of the genetic resources (asexually propagated hybrid individuals) preserved in public germplasm collections were moderately to highly susceptible and that genetic gains for increased resistance to VW have been negligible over the last 60 years. To more fully understand the challenges associated with breeding for increased quantitative resistance to this pathogen, we developed and phenotyped a training population of hybrids (n=564 $n = 564$ ) among elite parents with a wide range of resistance phenotypes. When these data were combined with training data from a population of elite and exotic hybrids (n=386 $n = 386$ ), genomic prediction accuracies of 0.47–0.48 were achieved and were predicted to explain 70%–75% of the additive genetic variance for resistance. We concluded that breeding values for resistance to VW can be predicted with sufficient accuracy for effective genomic selection with routine updating of training populations. Core Ideas For the second half of the 20th century, strawberries were cultivated with high levels of chemical inputs. Genetic gains for resistance to verticillium wilt (VW) have been low, or negative, since the 1960s. VW is heritable, and breeding values can be accurately predicted to improve populations and individuals. The genetic architecture of resistance is similar among modern hybrids, heirloom varieties, and crop wild relatives
This website uses cookies to ensure you get the best experience on our website.