Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method

To exploit the novel genetic diversity residing in tropical sorghum germplasm, an expansive backcross nested-association mapping (BC-NAM) resource was developed in which novel genetic diversity was introgressed into elite inbreds. A major limitation of exploiting this type of genetic resource in hyb...

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Main Authors: Noah D. Winans, Robert R. Klein, Jales Mendes Oliveira Fonseca, Patricia E. Klein, William L. Rooney
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Plants
Subjects:
Online Access:https://www.mdpi.com/2223-7747/12/3/444
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author Noah D. Winans
Robert R. Klein
Jales Mendes Oliveira Fonseca
Patricia E. Klein
William L. Rooney
author_facet Noah D. Winans
Robert R. Klein
Jales Mendes Oliveira Fonseca
Patricia E. Klein
William L. Rooney
author_sort Noah D. Winans
collection DOAJ
description To exploit the novel genetic diversity residing in tropical sorghum germplasm, an expansive backcross nested-association mapping (BC-NAM) resource was developed in which novel genetic diversity was introgressed into elite inbreds. A major limitation of exploiting this type of genetic resource in hybrid improvement programs is the required evaluation in hybrid combination of the vast number of BC-NAM populations and lines. To address this, the utility of genomic information was evaluated to predict the hybrid performance of BC-NAM populations. Two agronomically elite BC-NAM populations were chosen for evaluation in which elite inbred RTx436 was the recurrent parent. Each BC<sub>1</sub>F<sub>3</sub> line was evaluated in hybrid combination with an elite tester in two locations with phenotypes of grain yield, plant height, and days to anthesis collected on all test cross hybrids. Lines from both populations were found to outperform their recurrent parent. Efforts to utilize genetic distance based on genotyping-by-sequence (GBS) as a predictive tool for hybrid performance was ineffective. However, utilizing genomic prediction models using additive and dominance GBLUP kernels to screen germplasm appeared to be an effective method to eliminate inferior-performing lines that will not be useful in a hybrid breeding program.
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spelling doaj.art-a3563a57e4ad407f9f0fbd42f6d9b3062023-11-16T17:42:27ZengMDPI AGPlants2223-77472023-01-0112344410.3390/plants12030444Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening MethodNoah D. Winans0Robert R. Klein1Jales Mendes Oliveira Fonseca2Patricia E. Klein3William L. Rooney4Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USAUSDA-ARS Southern Plains Agricultural Research Center, College Station, TX 77845, USADepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USADepartment of Horticultural Sciences, Texas A&M University, College Station, TX 77843, USADepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USATo exploit the novel genetic diversity residing in tropical sorghum germplasm, an expansive backcross nested-association mapping (BC-NAM) resource was developed in which novel genetic diversity was introgressed into elite inbreds. A major limitation of exploiting this type of genetic resource in hybrid improvement programs is the required evaluation in hybrid combination of the vast number of BC-NAM populations and lines. To address this, the utility of genomic information was evaluated to predict the hybrid performance of BC-NAM populations. Two agronomically elite BC-NAM populations were chosen for evaluation in which elite inbred RTx436 was the recurrent parent. Each BC<sub>1</sub>F<sub>3</sub> line was evaluated in hybrid combination with an elite tester in two locations with phenotypes of grain yield, plant height, and days to anthesis collected on all test cross hybrids. Lines from both populations were found to outperform their recurrent parent. Efforts to utilize genetic distance based on genotyping-by-sequence (GBS) as a predictive tool for hybrid performance was ineffective. However, utilizing genomic prediction models using additive and dominance GBLUP kernels to screen germplasm appeared to be an effective method to eliminate inferior-performing lines that will not be useful in a hybrid breeding program.https://www.mdpi.com/2223-7747/12/3/444sorghumintrogressiongenetic diversitygenomic selectiongenomic resourceBC-NAM populations
spellingShingle Noah D. Winans
Robert R. Klein
Jales Mendes Oliveira Fonseca
Patricia E. Klein
William L. Rooney
Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method
Plants
sorghum
introgression
genetic diversity
genomic selection
genomic resource
BC-NAM populations
title Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method
title_full Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method
title_fullStr Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method
title_full_unstemmed Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method
title_short Evaluating Introgression Sorghum Germplasm Selected at the Population Level While Exploring Genomic Resources as a Screening Method
title_sort evaluating introgression sorghum germplasm selected at the population level while exploring genomic resources as a screening method
topic sorghum
introgression
genetic diversity
genomic selection
genomic resource
BC-NAM populations
url https://www.mdpi.com/2223-7747/12/3/444
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