Validation of QTLs associated with corn borer resistance and grain yield: implications in maize breeding

The novel QTL validation approach was implemented using improved experimental designs that led to higher heritability estimates for both traits compared to those estimated with the whole MAGIC population. The procedure used allowed us to jointly validate several QTL and to ascertain their possible contribution to hybrid improvement. Specifically, nearly three-quarters of the QTLs for tunnel length were confirmed. Notably, QTLs located in the genomic region 6.05-6.07 were consistently validated across different sets and have been previously linked to resistance against stalk tunneling in various mapping populations. For grain yield, approximately 10 out of 16 QTLs were validated. The validation rate for yield was lower than for tunnel length, likely due to the influence of dominance and/or epistatic effects. Overall, 9 out of 21 QTLs for tunnel length and 6 out of 17 QTLs for grain yield identified in our previous research were validated across both validation sets, indicating a moderate genetic correlation between <i>per se</i> and testcross performance of inbred lines. These findings offer insights into the reliability of QTL and genomic predictions, both derived from assessments conducted on the entire MAGIC population. Genomic predictions for tunnel length based on inbred line evaluations could be useful to develop more resistant hybrids; meanwhile, genomic prediction for yield could only be valid in a homozygous background.

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Publication Details

Journal
Frontiers in Plant Science
Published
2024-10-22
DOI
https://doi.org/10.3389/fpls.2024.1404881
Citations
1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.55

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article

Validation of QTLs associated with corn borer resistance and grain yield: implications in maize breeding

José Cruz Jiménez Galindo, Pedro Revilla, Zoila Reséndiz Ramírez, Ana López-Malvar et al.
1 citations
Frontiers in Plant Science
Genetic Mapping and Diversity in Plants and Animals
0.55
article

Validation of QTLs associated with corn borer resistance and grain yield: implications in maize breeding

José Cruz Jiménez Galindo, Pedro Revilla, Zoila Reséndiz Ramírez, Ana López-Malvar, Rosa Ana Malvar Pintos, Ana Butrón
article en
1 citations

Abstract

The novel QTL validation approach was implemented using improved experimental designs that led to higher heritability estimates for both traits compared to those estimated with the whole MAGIC population. The procedure used allowed us to jointly validate several QTL and to ascertain their possible contribution to hybrid improvement. Specifically, nearly three-quarters of the QTLs for tunnel length were confirmed. Notably, QTLs located in the genomic region 6.05-6.07 were consistently validated across different sets and have been previously linked to resistance against stalk tunneling in various mapping populations. For grain yield, approximately 10 out of 16 QTLs were validated. The validation rate for yield was lower than for tunnel length, likely due to the influence of dominance and/or epistatic effects. Overall, 9 out of 21 QTLs for tunnel length and 6 out of 17 QTLs for grain yield identified in our previous research were validated across both validation sets, indicating a moderate genetic correlation between <i>per se</i> and testcross performance of inbred lines. These findings offer insights into the reliability of QTL and genomic predictions, both derived from assessments conducted on the entire MAGIC population. Genomic predictions for tunnel length based on inbred line evaluations could be useful to develop more resistant hybrids; meanwhile, genomic prediction for yield could only be valid in a homozygous background.

Frontiers in Plant ScienceVol. 15
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (MX), Misión Biológica de Galicia (ES), Universidade de Vigo (ES)
Ministerio de Ciencia, Innovación y Universidades, Consejo Nacional de Ciencia y Tecnología, Xunta de Galicia, Agencia Estatal de Investigación
Openalex Percentile: Top 25%
Genetic Mapping and Diversity in Plants and Animals
0.55
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