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Surveying the genomic landscape of silage-quality traits in maize(Zea mays L.)

The Crop Journal 2023年第6期11卷 1893-1901页

作者： Jatin Sharma Shubham Sharma Krishna Sai Karnatam Om Prakash Raigar chayanika lahkar Dinesh Kumar Saini Sushil Kumar Alla Singh Abhijit Kumar Das Priti Sharma Ramesh Kumar Department of Plant Breeding and Genetics Punjab Agricultural UniversityLudhianaPunjab 141004India School of Agricultural Biotechnology Punjab Agricultural UniversityLudhianaPunjab 141004India ICAR-Indian Institute of Maize Research LudhianaPunjab 141004India Department of Plant and Soil Science Texas Tech UniversityLubbockTX 79409-2122USA

Despite the longstanding importance of silage as a critical feed source for ruminants,its quality improvement has been largely *** numerous quantitative trait loci(QTL)and genes affecting silage quality in maize have been reported,only a few have been effectively incorporated into breeding *** this gap,the present study undertook a comprehensive meta-QTL(MQTL)analysis involving 523 QTL associated with silage-quality traits collected from 14 published *** the 523 QTL,405 were projected onto a consensus map comprising 62,424 genetic markers,resulting in the identification of 60 MQTL and eight *** average confidence interval(CI)of the MQTL was 3.9-fold smaller than that of the source *** of the 60 identified MQTL were classified as breeder’s MQTL owing to their small CIs,involvement of more QTL,and large contribution to phenotypic ***-third of the MQTL co-localized with DNA marker-trait associations identified in previous genomewide association mapping studies.A set of 78 high-confidence candidate genes influencing silage quality were identified in the MQTL *** genes and associated markers may advance marker-assisted breeding for maize silage quality.

关键词： Meta-QTL Silage quality Maize GWAS Candidate genes

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