2022
DOI: 10.1016/j.tibtech.2021.08.009
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Reap the crop wild relatives for breeding future crops

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Cited by 190 publications
(142 citation statements)
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“…Such a selection has created genetic bottlenecks as only a limited number of progenitors with beneficial traits were selected (Zhang et al, 2017). Crop wild relatives, the closely related species of cultivated crops, have been omitted in the past because of their poor agronomic traits, but are receiving increasing attention as they contain naturally acquired tolerances and resistances to biotic and abiotic stresses (Bohra et al, 2021; Dempewolf et al, 2017; King et al, 2017; Prohens et al, 2017). Diversity of crop wild relatives was recently screened for drought tolerance in alfalfa (Humphries et al, 2021), wheat (Aberkane et al, 2021; Reynolds et al, 2007), barley (Honsdorf et al, 2014; Naz et al, 2014), sorghum (Cowan et al, 2020; Ochieng et al, 2021) and sunflower (Seiler et al, 2017) amongst many others.…”
Section: Introductionmentioning
confidence: 99%
“…Such a selection has created genetic bottlenecks as only a limited number of progenitors with beneficial traits were selected (Zhang et al, 2017). Crop wild relatives, the closely related species of cultivated crops, have been omitted in the past because of their poor agronomic traits, but are receiving increasing attention as they contain naturally acquired tolerances and resistances to biotic and abiotic stresses (Bohra et al, 2021; Dempewolf et al, 2017; King et al, 2017; Prohens et al, 2017). Diversity of crop wild relatives was recently screened for drought tolerance in alfalfa (Humphries et al, 2021), wheat (Aberkane et al, 2021; Reynolds et al, 2007), barley (Honsdorf et al, 2014; Naz et al, 2014), sorghum (Cowan et al, 2020; Ochieng et al, 2021) and sunflower (Seiler et al, 2017) amongst many others.…”
Section: Introductionmentioning
confidence: 99%
“…Since natural selection has already tested more options than humans ever will [ 32 ], the review proposes (1) habitat-based population-guided samplings targeting unexplored semi-arid regions, and (2) geo-referencing-based environmentally coupled genetic characterizations of those collections [ 33 , 34 ]. The review ends prospecting last-generation ‘big data’ pipelines, such as genomic prediction [ 18 ], genomic-assisted back-crossing (GABC), speed breeding [ 10 ], and machine learning [ 35 ], all of which may help CWR boost pre-breeding for adaptation [ 36 , 37 ].…”
Section: Natural Adaptation Meets Breeding For Abiotic Stress Tolerancementioning
confidence: 99%
“…The pillars of such discussion include the need to: (1) monitor and forecast gender and generation gaps to shrink disparity over time, (2) fund long-term synergies to leverage plant resources independent of market trends [ 45 ], (3) bridge plant germplasm resources with plant breeding [ 46 ], and (4) encourage joint training programs in last-generation technologies to speed up breeding cycles [ 18 ] and mitigate tradeoffs [ 47 ]. In parallel, it is necessary to find innovative bio-economical uses (such as was carried out by Hammenhag et al [ 14 ]), and to (5) harness neglected or underutilized species [ 48 ] as a source of new [ 49 ] and future [ 37 ] crops (as envisioned by Buitrago-Bitar et al [ 15 ] and Thapa et al [ 13 ]). We look forward to seeing future research implementing these recommendations on crop–wild complexes [ 50 , 51 , 52 , 53 ].…”
Section: Meeting Future Demandsmentioning
confidence: 99%
“…Seed shattering is a significant drawback affecting yield loss in both taxa of Australian wild rice. Gene editing using CRISPR-Cas to induce loss of function in shattering genes could allow rapid production of potentially new wild rice cultivars ( Bohra et al, 2021 ). Advancement in genome and transcriptome sequencing has been a major contributor to improving gene target identification.…”
Section: Introductionmentioning
confidence: 99%