Published
Research combining future climate conditions and arsenic-induced soil stresses predicts rice yields could decline about 40 percent by 2100, a loss that would impact about 2 billion people dependent on the global crop.
Read the story:
Stanford University Channel on YouTube:
Stanford University:
SyncID:
MB01DV59ZR0CQT0
Read the story:
Stanford University Channel on YouTube:
Stanford University:
SyncID:
MB01DV59ZR0CQT0
- Category
- Academic
Sign in or sign up to post comments.
Be the first to comment
Up Next
Autoplay
-
02:11
Stanford researchers develop algorithm to diagnose heart arrhythmias
-
03:01
Stanford researchers create "Shazam" for mosquitoes
-
04:17
Vietnam: Climate change threatens rice production
-
1:15:33
50 Years of Transforming Lives: The History and Future of Heart Transplant at Stanford
-
02:54
Stanford researchers design solutions for hot hazmat suits
-
02:47
Stanford researchers develop vine-like, growing robot
-
03:06
How will we live in the future climate?
-
10:23
How Sci-Fi Informs Our Climate Future — and What to Do Next | Zainab Usman | TED
-
03:15
Stanford researchers discover new type of cell communication
-
03:09
Stanford researchers identify brain region activated by Pokémon
-
02:48
Stanford researchers develop drone technology to study secrets of San Francisco Bay
-
04:47
Stanford Climate Solutions
-
03:02
Stanford researchers reimagine the sink
-
03:33
Stanford researchers find that swarms of tiny organisms churn ocean waters
-
03:16
Stanford researchers design a touchable, 3D printing display for the visually impaired
-
05:05
A grand experiment: exploring Stanford’s future
-
03:48
Stanford researchers decode an ancient, extraordinary animal
-
02:44
Stanford researchers decode how birds land with ease
-
04:22
Stanford's Frost Amphitheater: Past, Present and Future
-
02:56
Stanford researchers develop "brain stethoscope" to detect silent seizures
-
10:23
How Sci-Fi Informs Our Climate Future — and What to Do Next | Zainab Usman | TED
-
02:44
Stanford researchers modify small flying robots to haul heavy loads
