Class
Article
College
College of Agriculture and Applied Sciences
Department
Plants, Soils, and Climate Department
Faculty Mentor
Amita Kaundal
Presentation Type
Poster Presentation
Abstract
Maize is the largest crop in the world in terms of production. Utah, maize is a potential fodder crop. With increasing climate change, soil salinity is also increasing worldwide. Soil salinity is very detrimental to plants' growth and development and crop production. For a fodder crop, plant biomass is an important trait, and maize biomass is adversely affected by salinity stress, especially at the seedling stage. A Selection of salt-tolerant breeding material is a time-consuming process and its complexity is further increased by significant heterogeneity in soil salinity under field based evaluation. Genomic prediction is an emerging tool that can address this problem of selection of salt-tolerant genotypes in lesser time than the field phenotyping, increasing the genetic gain per unit of time. In the present ongoing investigation, we are trying to develop genomic selection models for predicting salinity stress tolerance in maize. The phenotypic data obtained from a previous study conducted at USDA-Riverside, California, is being trained on the SNP data of 399 maize inbred lines. Salt Index for shoot height and shoot weight (important fodder related traits) calculated using BLUP estimates in the previous study are being used as phenotypic data. The imputed SNP data set of 0.8 million SNPs was filtered for Minor Allele Frequency of 0.05 and a subset of 10,000 SNPs is being used to train the ridge regression model to obtain prediction accuracy. A higher prediction accuracy, if obtained in the analysis will be helpful in the selection of salt-tolerant genotypes in a set of inbred lines which are closely related to the training set. The outcome of this research may be useful to select high biomass salt tolerant genotypes in segregating generations in grain or fodder-oriented breeding programs, which may help increase the fodder area under maize in Utah. Presentation Time: Thursday, 12-1 p.m.Zoom link: https://usu-edu.zoom.us/j/83738417563?pwd=SHlRcGdaaTdmVzVUOENqTnVHQ3UzZz09
Location
Logan, UT
Start Date
4-12-2021 12:00 AM
Included in
Climate Commons, Plant Sciences Commons, Soil Science Commons
Genomic Prediction of Salinity Stress Tolerance in Maize (Zea mays L.)
Logan, UT
Maize is the largest crop in the world in terms of production. Utah, maize is a potential fodder crop. With increasing climate change, soil salinity is also increasing worldwide. Soil salinity is very detrimental to plants' growth and development and crop production. For a fodder crop, plant biomass is an important trait, and maize biomass is adversely affected by salinity stress, especially at the seedling stage. A Selection of salt-tolerant breeding material is a time-consuming process and its complexity is further increased by significant heterogeneity in soil salinity under field based evaluation. Genomic prediction is an emerging tool that can address this problem of selection of salt-tolerant genotypes in lesser time than the field phenotyping, increasing the genetic gain per unit of time. In the present ongoing investigation, we are trying to develop genomic selection models for predicting salinity stress tolerance in maize. The phenotypic data obtained from a previous study conducted at USDA-Riverside, California, is being trained on the SNP data of 399 maize inbred lines. Salt Index for shoot height and shoot weight (important fodder related traits) calculated using BLUP estimates in the previous study are being used as phenotypic data. The imputed SNP data set of 0.8 million SNPs was filtered for Minor Allele Frequency of 0.05 and a subset of 10,000 SNPs is being used to train the ridge regression model to obtain prediction accuracy. A higher prediction accuracy, if obtained in the analysis will be helpful in the selection of salt-tolerant genotypes in a set of inbred lines which are closely related to the training set. The outcome of this research may be useful to select high biomass salt tolerant genotypes in segregating generations in grain or fodder-oriented breeding programs, which may help increase the fodder area under maize in Utah. Presentation Time: Thursday, 12-1 p.m.Zoom link: https://usu-edu.zoom.us/j/83738417563?pwd=SHlRcGdaaTdmVzVUOENqTnVHQ3UzZz09