[HTML][HTML] Meta-QTL analysis for mining of candidate genes and constitutive gene network development for fungal disease resistance in maize (Zea mays L.)

M Gupta, M Choudhary, A Singh, S Sheoran, D Singla… - The Crop Journal, 2023 - Elsevier
The development of resistant maize cultivars is the most effective and sustainable approach
to combat fungal diseases. Over the last three decades, many quantitative trait loci (QTL) …

Meta-QTL analysis for mining of candidate genes and constitutive gene network development for fungal disease resistance in maize (Zea mays L.).

M Gupta, M Choudhary, A Singh, S Sheoran, D Singla… - 2023 - cabidigitallibrary.org
The development of resistant maize cultivars is the most effective and sustainable approach
to combat fungal diseases. Over the last three decades, many quantitative trait loci (QTL) …

Meta-QTL analysis for mining of candidate genes and constitutive gene network development for fungal disease resistance in maize (Zea mays L.)

M Gupta, M Choudhary, A Singh… - Crop …, 2023 - research-repository.uwa.edu.au
The development of resistant maize cultivars is the most effective and sustainable approach
to combat fungal diseases. Over the last three decades, many quantitative trait loci (QTL) …

Meta-QTL analysis for mining of candidate genes and constitutive gene network development for fungal disease resistance in maize (Zea mays L.)

M Gupta, M Choudhary, A Singh, S Sheoran… - The Crop …, 2023 - sciopen.com
Meta-QTL analysis for mining of candidate genes and constitutive gene network
development for fungal disease resistance in maize (Zea mays L.) EN LOGIN REGISTER All …

Meta-QTL analysis for mining of candidate genes and constitutive gene network development for fungal disease resistance in maize (Zea mays L.).

M Gupta, M Choudhary, A Singh… - Crop Journal …, 2023 - search.ebscohost.com
The development of resistant maize cultivars is the most effective and sustainable approach
to combat fungal diseases. Over the last three decades, many quantitative trait loci (QTL) …

[引用][C] Meta-QTL analysis for mining of candidate genes and constitutive gene network development for fungal disease resistance in maize (Zea mays L.)

M Gupta, M Choudhary, A Singh, S Sheoran, D Singla… - 2022