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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MDPI AG
2023-01-01
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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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institution | Directory Open Access Journal |
issn | 2223-7747 |
language | English |
last_indexed | 2024-03-11T09:30:39Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
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series | Plants |
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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