TY - JOUR

T1 - De novo domestication

T2 - what about the weeds?

AU - Correia, Pedro M.P.

AU - Najafi, Javad

AU - Palmgren, Michael

N1 - Publisher Copyright: © 2024 Elsevier Ltd

PY - 2024

Y1 - 2024

N2 - Most high-yielding crops are susceptible to abiotic and biotic stresses, making them particularly vulnerable to the potential effects of climate change. A possible alternative is to accelerate the domestication of wild plants that are already tolerant to harsh conditions and to increase their yields by methods such as gene editing. We foresee that crops’ wild progenitors could potentially compete with the resulting de novo domesticated plants, reducing yields. To improve the recognition of weeds, we propose using gene editing techniques to introduce traits into de novo domesticated crops that will allow for visual recognition of the crops by weeding robots that have been trained by machine learning.

AB - Most high-yielding crops are susceptible to abiotic and biotic stresses, making them particularly vulnerable to the potential effects of climate change. A possible alternative is to accelerate the domestication of wild plants that are already tolerant to harsh conditions and to increase their yields by methods such as gene editing. We foresee that crops’ wild progenitors could potentially compete with the resulting de novo domesticated plants, reducing yields. To improve the recognition of weeds, we propose using gene editing techniques to introduce traits into de novo domesticated crops that will allow for visual recognition of the crops by weeding robots that have been trained by machine learning.

KW - de novo domestication

KW - genome editing

KW - remote sensing

KW - weed management

U2 - 10.1016/j.tplants.2024.03.001

DO - 10.1016/j.tplants.2024.03.001

M3 - Review

C2 - 38637173

AN - SCOPUS:85191775260

JO - Trends in Plant Science

JF - Trends in Plant Science

SN - 1360-1385

ER -