Understanding the genetic basis of resistance to maydis leaf blight and maturity-related traits in corn

Maize is one of the most versatile and commercially produced crops used for food, feed, fodder, ethanol, oil, and industrial raw materials. Maize is affected by various diseases, but among these, maydis leaf blight (MLB) is one of the most serious diseases. The disease is caused by <i>Cochliobolus heterostrophus</i> and is responsible for yield losses up to 40%. When developing cultivars for a specific ecology, days to flowering and maturity are important breeding traits to consider. Thus, understanding the genetic basis of MLB resistance, specifically the "O" race of the pathogen, and maturity-related traits is crucial to develop climate-resilient maize hybrids. This study aimed to determine the gene actions and their interactions for MLB resistance and maturity-related traits using a six-parameter model (P<sub>1</sub>, P<sub>2</sub>, F<sub>1</sub>, BC<sub>1</sub>P<sub>1</sub>, BC<sub>1</sub>P<sub>2</sub>, and F<sub>2</sub>). Five experimental crosses were attended using resistant (R) (<i>CML269-1</i> and <i>P72c1Xbrasil1177-2</i>) and susceptible (S) (<i>HKIPC4B</i> and <i>ESM113</i>) lines in R×S (1), S×R (2), R×R (1), and S×S (1) combinations. The susceptible lines belonged to the early (<i>HKIPC4B</i>) and medium (<i>ESM113</i>) maturity groups, while the resistant lines belonged to the medium (<i>CML269-1</i>) and late (<i>P72c1Xbrasil1177-2</i>) maturity groups. These six genetic populations were screened under artificially created epiphytotic conditions at a hot-spot site. In the analysis, MLB resistance showed a dominance genetic effect with significant (<i>P</i><0.01) additive × additive interactions. Maturity-related traits showed significant dominance genetic effects (P< 0.01), with dominance × dominance interactions, suggesting the suitability of hybrid breeding for these traits. The estimated genes responsible for MLB resistance ranged from 0.002 to 5.78 per cross. In MLB resistance, broad and narrow-sense heritability were found to be 91.9% and 84.3%, respectively, which indicated the possibility of genetic improvement through selection. Disease response and maturity-related traits were negatively correlated, suggesting that long-duration genotypes are more resistant to disease than short-duration. The detailed understating of gene actions can aid in designing breeding strategies to develop resistant cultivars with the required duration for various stress-prone ecologies.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-03-26
DOI
https://doi.org/10.3389/fpls.2025.1551940
Citations
1
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the genetic basis of resistance to maydis leaf blight and maturity-related traits in corn

Sujay Rakshit, Bahadur Singh Jat, Santosh Kumar, Pushpendra Pushpendra et al.
1 citations
Frontiers in Plant Science
Genetics and Plant Breeding
1.75
article

Understanding the genetic basis of resistance to maydis leaf blight and maturity-related traits in corn

Sujay Rakshit, Bahadur Singh Jat, Santosh Kumar, Pushpendra Pushpendra, Chhavi Nath, Pardeep Kumar, Debasish Sarkar, Sumit Kumar Aggarwal, Bhupender Kumar, H.S. Jat, Sukhbir Singh, Rakhi Singh, Pravin Kumar Bagaria, Shrikant Yankanchi, Prahlad Piyal
article en
1 citations

Abstract

Maize is one of the most versatile and commercially produced crops used for food, feed, fodder, ethanol, oil, and industrial raw materials. Maize is affected by various diseases, but among these, maydis leaf blight (MLB) is one of the most serious diseases. The disease is caused by <i>Cochliobolus heterostrophus</i> and is responsible for yield losses up to 40%. When developing cultivars for a specific ecology, days to flowering and maturity are important breeding traits to consider. Thus, understanding the genetic basis of MLB resistance, specifically the "O" race of the pathogen, and maturity-related traits is crucial to develop climate-resilient maize hybrids. This study aimed to determine the gene actions and their interactions for MLB resistance and maturity-related traits using a six-parameter model (P<sub>1</sub>, P<sub>2</sub>, F<sub>1</sub>, BC<sub>1</sub>P<sub>1</sub>, BC<sub>1</sub>P<sub>2</sub>, and F<sub>2</sub>). Five experimental crosses were attended using resistant (R) (<i>CML269-1</i> and <i>P72c1Xbrasil1177-2</i>) and susceptible (S) (<i>HKIPC4B</i> and <i>ESM113</i>) lines in R×S (1), S×R (2), R×R (1), and S×S (1) combinations. The susceptible lines belonged to the early (<i>HKIPC4B</i>) and medium (<i>ESM113</i>) maturity groups, while the resistant lines belonged to the medium (<i>CML269-1</i>) and late (<i>P72c1Xbrasil1177-2</i>) maturity groups. These six genetic populations were screened under artificially created epiphytotic conditions at a hot-spot site. In the analysis, MLB resistance showed a dominance genetic effect with significant (<i>P</i><0.01) additive × additive interactions. Maturity-related traits showed significant dominance genetic effects (P< 0.01), with dominance × dominance interactions, suggesting the suitability of hybrid breeding for these traits. The estimated genes responsible for MLB resistance ranged from 0.002 to 5.78 per cross. In MLB resistance, broad and narrow-sense heritability were found to be 91.9% and 84.3%, respectively, which indicated the possibility of genetic improvement through selection. Disease response and maturity-related traits were negatively correlated, suggesting that long-duration genotypes are more resistant to disease than short-duration. The detailed understating of gene actions can aid in designing breeding strategies to develop resistant cultivars with the required duration for various stress-prone ecologies.

Frontiers in Plant ScienceVol. 16
Indian Council of Agricultural Research (IN), ICAR-Indian Institute of Maize Research (IN), ICAR-Indian Institute of Agricultural Biotechnology (IN), Indian Agricultural Research Institute (IN)
Climate action
Openalex Percentile: Top 16%
Genetics and Plant Breeding
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.