TY - JOUR
T1 - Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints
T2 - A review of historical impacts and future opportunities
AU - King, Julie
AU - Dreisigacker, Susanne
AU - Reynolds, Matthew
AU - Bandyopadhyay, Anindya
AU - Braun, Hans Joachim
AU - Crespo-Herrera, Leonardo
AU - Crossa, Jose
AU - Govindan, Velu
AU - Huerta, Julio
AU - Ibba, Maria Itria
AU - Robles-Zazueta, Carlos A.
AU - Saint Pierre, Carolina
AU - Singh, Pawan K.
AU - Singh, Ravi P.
AU - Achary, Mohan Murali
AU - Bhavani, Sridhar
AU - Blasch, Gerald
AU - Cheng, Shifeng
AU - Dempewolf, Hannes
AU - Flavell, Richard B.
AU - Gerard, Guillermo
AU - Grewal, Surbhi
AU - Griffiths, Simon
AU - Hawkesford, Malcolm
AU - He, Xinyao
AU - Hearne, Sarah
AU - Hodson, David
AU - Howell, Phil
AU - Jalal Kamali, Mohammad Reza
AU - Karwat, Hannes
AU - Kilian, Benjamin
AU - King, Ian P.
AU - Kishii, Masahiro
AU - Kommerell, Victor Maurice
AU - Lagudah, Evans
AU - Lan, Caixia
AU - Montesinos-Lopez, Osval A.
AU - Nicholson, Paul
AU - Pérez-Rodríguez, Paulino
AU - Pinto, Francisco
AU - Pixley, Kevin
AU - Rebetzke, Greg
AU - Rivera-Amado, Carolina
AU - Sansaloni, Carolina
AU - Schulthess, Urs
AU - Sharma, Shivali
AU - Shewry, Peter
AU - Subbarao, Guntar
AU - Tiwari, Thakur Prasad
AU - Trethowan, Richard
AU - Uauy, Cristobal
PY - 2024/8
Y1 - 2024/8
N2 - The use of plant genetic resources (PGR)—wild relatives, landraces, and isolated breeding gene pools—has had substantial impacts on wheat breeding for resistance to biotic and abiotic stresses, while increasing nutritional value, end-use quality, and grain yield. In the Global South, post-Green Revolution genetic yield gains are generally achieved with minimal additional inputs. As a result, production has increased, and millions of hectares of natural ecosystems have been spared. Without PGR-derived disease resistance, fungicide use would have easily doubled, massively increasing selection pressure for fungicide resistance. It is estimated that in wheat, a billion liters of fungicide application have been avoided just since 2000. This review presents examples of successful use of PGR including the relentless battle against wheat rust epidemics/pandemics, defending against diseases that jump species barriers like blast, biofortification giving nutrient-dense varieties and the use of novel genetic variation for improving polygenic traits like climate resilience. Crop breeding genepools urgently need to be diversified to increase yields across a range of environments (>200 Mha globally), under less predictable weather and biotic stress pressure, while increasing input use efficiency. Given that the ~0.8 m PGR in wheat collections worldwide are relatively untapped and massive impacts of the tiny fraction studied, larger scale screenings and introgression promise solutions to emerging challenges, facilitated by advanced phenomic and genomic tools. The first translocations in wheat to modify rhizosphere microbiome interaction (reducing biological nitrification, reducing greenhouse gases, and increasing nitrogen use efficiency) is a landmark proof of concept. Phenomics and next-generation sequencing have already elucidated exotic haplotypes associated with biotic and complex abiotic traits now mainstreamed in breeding. Big data from decades of global yield trials can elucidate the benefits of PGR across environments. This kind of impact cannot be achieved without widescale sharing of germplasm and other breeding technologies through networks and public–private partnerships in a pre-competitive space.
AB - The use of plant genetic resources (PGR)—wild relatives, landraces, and isolated breeding gene pools—has had substantial impacts on wheat breeding for resistance to biotic and abiotic stresses, while increasing nutritional value, end-use quality, and grain yield. In the Global South, post-Green Revolution genetic yield gains are generally achieved with minimal additional inputs. As a result, production has increased, and millions of hectares of natural ecosystems have been spared. Without PGR-derived disease resistance, fungicide use would have easily doubled, massively increasing selection pressure for fungicide resistance. It is estimated that in wheat, a billion liters of fungicide application have been avoided just since 2000. This review presents examples of successful use of PGR including the relentless battle against wheat rust epidemics/pandemics, defending against diseases that jump species barriers like blast, biofortification giving nutrient-dense varieties and the use of novel genetic variation for improving polygenic traits like climate resilience. Crop breeding genepools urgently need to be diversified to increase yields across a range of environments (>200 Mha globally), under less predictable weather and biotic stress pressure, while increasing input use efficiency. Given that the ~0.8 m PGR in wheat collections worldwide are relatively untapped and massive impacts of the tiny fraction studied, larger scale screenings and introgression promise solutions to emerging challenges, facilitated by advanced phenomic and genomic tools. The first translocations in wheat to modify rhizosphere microbiome interaction (reducing biological nitrification, reducing greenhouse gases, and increasing nitrogen use efficiency) is a landmark proof of concept. Phenomics and next-generation sequencing have already elucidated exotic haplotypes associated with biotic and complex abiotic traits now mainstreamed in breeding. Big data from decades of global yield trials can elucidate the benefits of PGR across environments. This kind of impact cannot be achieved without widescale sharing of germplasm and other breeding technologies through networks and public–private partnerships in a pre-competitive space.
KW - climate resilience
KW - input use efficiency
KW - less fungicide dependence
KW - rust epidemics
KW - widening crop gene pools
U2 - 10.1111/gcb.17440
DO - 10.1111/gcb.17440
M3 - Article
C2 - 39185562
AN - SCOPUS:85202267205
SN - 1354-1013
VL - 30
JO - Global Change Biology
JF - Global Change Biology
IS - 8
M1 - e17440
ER -