Titlebook: Disease Resistance in Crop Plants; Molecular, Genetic a Shabir Hussain Wani Book 2019 Springer Nature Switzerland AG 2019 Crop Improvement.

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https://doi.org/10.1007/978-3-030-20728-1Crop Improvement; Quantitative Traits; biotic Stress; Disease resistance; resistance breeding; GWAS; GBS

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978-3-030-20730-4Springer Nature Switzerland AG 2019

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Book 2019r agricultural production by 60–110% between the years 2005 and 2050 at the global level; the number will be even more drastic in the developing world.  Pathogens, animals, and weeds are altogether responsible for between 20 to 40 % of global agricultural productivity decrease. As such, managing dis

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https://doi.org/10.1007/978-3-319-55942-1f association mapping over QTL mapping, along with working model of GWAS, are briefly discussed. At the end, we discuss on the limitation of the GWAS and future perspectives on the identification of novel disease resistance genes.

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resistance strategies.Human population is escalating at an enormous pace and is estimated to reach 9.7 billion by 2050. As a result, there will be an increase in demand for agricultural production by 60–110% between the years 2005 and 2050 at the global level; the number will be even more drastic in

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Rice, Marker-Assisted Breeding, and Disease Resistance,ery precise, stable, convenient, and fast manner. As a result, various quantitative trait loci (QTLs) and genes tightly linked to DNA markers governing resistance to rice blast disease, bacterial blight of rice, and other diseases have been identified, mapped, and transferred into susceptible lines,

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