Abstract
Adapting rice cropping systems to climate change requires new tolerant varieties. Harnessing genetic diversity is crucial to adapt to contrasting environments. We present results from a global rice array (GRA) network built to evaluate 50 varieties nominated by breeders in 52 trials carried out by CG centers, CIRAD, IRD and NARES institutions, in 21 sites across Asia, Africa, and Latin America, from 2018 to 2020. Grain yield varied greatly among varieties, sites, and seasons. Seven Mega-environments (ME) were determined depending on whether abiotic and/or biotic constraints prevailed. ME1 and ME2 showed the highest grain yield, along with high cumulative radiation, while differing in relative humidity and maximum temperatures. In these ME, varieties like Kinandang Pathong, Tequing, and TN1, selected for deep root systems, high yield, and disease sensitivity respectively, showed their potential. Abiotic stresses led to significant yield losses: 10% in ME3, 40% in ME4, and 52% in ME6 compared to ME1 and ME2, due to high frequencies of maximum temperatures above 33°C and night temperatures surpassing 24°C during the reproductive and grain filling stages. Elevated night temperatures led to reduced grain yields for majority of varieties except Nanhi, an Aus Landrace variety. In ME5 and ME7 biotic stresses reduced grain yield. Bacterial blight and blast had the highest damage scores, together with high relative humidity during reproductive and grain filling stages and yield losses of 40% and 52%. However, Chomrong Dhan, one of the tested disease-tolerant variety, consistently demonstrated stable grain yields in both ME5 and ME7. Overall, disease-tolerant varieties performed better than others in MEs with biotic stress. However, Abiotic stress-tolerant varieties did not exhibit a consistent pattern of superiority in ME's with abiotic stress conditions. The GRA network enabled the definition of ME with stress profiles that are likely to occur in the mid to long-term future and identify genotypes that are either adapted or susceptible to these stress conditions. Additionally, the sequencing of all GRA varieties gives the possibility to explore potential candidate genes for stress tolerance, thereby supporting the development of climate-resilient genotypes.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-sa. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 15
Claim · model-written summary
Rice grain yield varied greatly among varieties, sites and seasons.
- Taxon
- rice
Oryza sativat0 - Outcome
- Grain yielde0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Grain yield varied greatly among varieties, sites, and seasons”
t0“rice response”
Claim · model-written summary
Seven mega-environments were determined depending on whether abiotic and/or biotic constraints prevailed.
- Taxon
- riceOryza sativat0
- Outcome
- Mega-environmentse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Seven Mega-environments (ME) were determined depending on whether abiotic and/or biotic constraints prevailed”
t0“rice response”
Claim · model-written summary
ME1 and ME2 showed the highest rice grain yield, along with high cumulative radiation.
- Taxon
- riceOryza sativat0
- Outcome
- highest grain yielde0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“ME1 and ME2 showed the highest grain yield, along with high cumulative radiation”
t0“rice response”
Claim · model-written summary
The rice variety Kinandang Pathong showed its potential in ME1 and ME2.
- Taxon
- riceOryza sativat0
- Material
- Kinandang Pathonge0
- Outcome
- showed their potentiale0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“varieties like Kinandang Pathong, Tequing, and TN1, selected for deep root systems, high yield, and disease sensitivity respectively, showed their potential”
t0“rice response”
Claim · model-written summary
The rice variety Tequing showed its potential in ME1 and ME2.
- Taxon
- riceOryza sativat0
- Material
- Tequinge0
- Outcome
- showed their potentiale0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“varieties like Kinandang Pathong, Tequing, and TN1, selected for deep root systems, high yield, and disease sensitivity respectively, showed their potential”
t0“rice response”
Claim · model-written summary
The rice variety TN1 showed its potential in ME1 and ME2.
- Taxon
- riceOryza sativat0
- Material
- TN1e0
- Outcome
- showed their potentiale0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“varieties like Kinandang Pathong, Tequing, and TN1, selected for deep root systems, high yield, and disease sensitivity respectively, showed their potential”
t0“rice response”
Claim · model-written summary
Abiotic stresses caused a yield loss of 10% in ME3 of the global rice array compared with ME1 and ME2.
- Taxon
- riceOryza sativat0
- Treatment
- Abiotic stressese0
- Outcome
- yield lossese0
- Direction
- lossese0
- Value
- 10%e0
- Comparator
- ME1 and ME2e0
- Setting
- ME3e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Abiotic stresses led to significant yield losses: 10% in ME3, 40% in ME4, and 52% in ME6 compared to ME1 and ME2”
t0“rice response”
Claim · model-written summary
Abiotic stresses caused a yield loss of 40% in ME4 of the global rice array compared with ME1 and ME2.
- Taxon
- riceOryza sativat0
- Treatment
- Abiotic stressese0
- Outcome
- yield lossese0
- Direction
- lossese0
- Value
- 40%e0
- Comparator
- ME1 and ME2e0
- Setting
- ME4e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Abiotic stresses led to significant yield losses: 10% in ME3, 40% in ME4, and 52% in ME6 compared to ME1 and ME2”
t0“rice response”
Claim · model-written summary
Abiotic stresses caused a yield loss of 52% in ME6 of the global rice array compared with ME1 and ME2.
- Taxon
- riceOryza sativat0
- Treatment
- Abiotic stressese0
- Outcome
- yield lossese0
- Direction
- lossese0
- Value
- 52%e0
- Comparator
- ME1 and ME2e0
- Setting
- ME6e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Abiotic stresses led to significant yield losses: 10% in ME3, 40% in ME4, and 52% in ME6 compared to ME1 and ME2”
t0“rice response”
Claim · model-written summary
Elevated night temperatures reduced grain yields of the majority of rice varieties, except Nanhi, an Aus Landrace variety.
- Taxon
- riceOryza sativat0
- Treatment
- Elevated night temperaturese0
- Outcome
- grain yieldse0
- Direction
- reducede0
- Qualifier
- except Nanhi, an Aus Landrace varietye0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Elevated night temperatures led to reduced grain yields for majority of varieties except Nanhi, an Aus Landrace variety”
t0“rice response”
Claim · model-written summary
Biotic stresses reduced rice grain yield in ME5 and ME7.
- Taxon
- riceOryza sativat0
- Treatment
- biotic stressese0
- Outcome
- grain yielde0
- Direction
- reducede0
- Setting
- ME5 and ME7e0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“In ME5 and ME7 biotic stresses reduced grain yield”
t0“rice response”
Claim · model-written summary
Bacterial blight and blast had the highest damage scores, together with yield losses of 40% and 52% and high relative humidity during reproductive and grain filling stages.
- Taxon
- riceOryza sativat0
- Interactor
- Bacterial blighte0pathogen
- Second interactor
- blaste0pathogen
- Outcome
- highest damage scorese0
- Value
- 40% and 52%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Bacterial blight and blast had the highest damage scores, together with high relative humidity during reproductive and grain filling stages and yield losses of 40% and 52%”
t0“rice response”
Claim · model-written summary
The disease-tolerant variety Chomrong Dhan consistently showed stable grain yields in both ME5 and ME7.
- Taxon
- riceOryza sativat0
- Material
- Chomrong Dhane0
- Outcome
- stable grain yieldse0
- Qualifier
- in both ME5 and ME7e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Chomrong Dhan, one of the tested disease-tolerant variety, consistently demonstrated stable grain yields in both ME5 and ME7”
t0“rice response”
Claim · model-written summary
Disease-tolerant rice varieties performed better than others in mega-environments with biotic stress.
- Taxon
- riceOryza sativat0
- Material
- disease-tolerant varietiese0
- Outcome
- performed bettere0
- Direction
- bettere0
- Comparator
- otherse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“disease-tolerant varieties performed better than others in MEs with biotic stress”
t0“rice response”
Claim · model-written summary
Abiotic stress-tolerant rice varieties did not exhibit a consistent pattern of superiority in mega-environments with abiotic stress.
- Taxon
- riceOryza sativat0
- Material
- Abiotic stress-tolerant varietiese0
- Outcome
- consistent pattern of superioritye0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Abiotic stress-tolerant varieties did not exhibit a consistent pattern of superiority in ME's with abiotic stress conditions”
t0“rice response”
The same questions in other papers
abiotic · yield · Oryza sativa (rice)Results agree
2 papers in the same direction as this paper
- negative
- negative
Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.