Abstract
Faba bean (Vicia faba L.) is an important pulse crop, which provides useful source of protein for human and animal consumption. The faba bean cultivation area around world has been slightly decreased due to the lack of cultivars adaptable to various biotic and abiotic stresses effects of which tend to gradually increase as consequences of climate change. Breeding for improved faba bean with biotic and abiotic stress tolerance will maintain and increase the cultivation area of faba bean by producing new cultivars having high tolerance to these stresses combined with high yield. Climate-smart traits (CSTs) can be used to evaluate faba bean genotypes for stress tolerance and to select the true promising genotypes for target traits. Moreover, the advances in genetic research in faba bean should be exploited in accelerating breeding programs to genetically improve CSTs. Unfortunately, the progress of molecular breeding research is slow due to the complexity of faba bean genome and few studies, compared to those reported in other important crops (e.g., wheat, maize, etc.), have been conducted to detect quantitative trait loci (QTLs) controlling CSTs. This chapter sheds light on the recent breeding research for CSTs in faba bean. The most important QTLs controlling CSTs detected by QTL mapping and genome-wide association study (GWAS) methods and promising validated QTL have been discussed. Moreover, an overview in faba bean genome sequencing and gene annotation for candidate genes controlling CSTs has been presented.
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Sallam, A., Ul-Allah, S. (2019). Genomics-Aided Breeding for Climate-Smart Traits in Faba Bean. In: Kole, C. (eds) Genomic Designing of Climate-Smart Pulse Crops. Springer, Cham. https://doi.org/10.1007/978-3-319-96932-9_7
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