Adapting Lowland Rice to Climate Change – Thermal Stress Tolerance
Change Thermal Stress Tolerance
Breeding in the Sahel Region of West Africa
B Manneh, A Sow, P Kiepe and M Dingkuhn
CIMAC Conference, 7-9 Feb, 2011 University of Hohenheim, Germany
Major global rice growing areas and ecosystems
Rising Temperatures Rising Temperatures
• Temperatures rose by 0 6 ºC over most of
0.6 ºC over most of Africa in 20
thcentury at 0.05 ºC/decade
• Five warmest years last century observed since 1988
since 1988
Mean surface air temperature anomalies for the African continent 1901 1998 (Hulme et al 2001) African continent, 1901–1998 (Hulme et al., 2001)
Declining rainfall in a semi
Declining rainfall in a semi--arid continent arid continent
• Most of Africa already Most of Africa already considered as dry land
• Many countries receive
• Many countries receive less than 500mm of rain annually
Map of rainfall zones in Africa Map of rainfall zones in Africa
Stress tolerance breeding strategy
• Screening of rice collections for the identification of stress tolerance
donors: Exploit the genetic diversity within O. glaberrima and traditional O.
ti sativas
• Development of breeding lines/populations
• Screening in controlled conditions and field trials
• Marker-Assisted Selection
• Evaluation in INGER and Participatory Varietal Selection (PVS) trials – Stability/adaptability, yield potential, farmers’ preferences
• Release through national programs
• Seed multiplication
Rice and climate adaptation Rice and climate adaptation
• Rice yields are low in Africa relative to other regions of the world
• Extent of yield loss due to climate change will differ between rice production systems (rainfed lowland, rainfed upland,
irrigated lo land mangro e s amp and deep flooded) irrigated lowland, mangrove swamp and deep flooded)
• Drastic changes in rainfall plus rising temperatures will g p g p aggravate abiotic stresses e.g. cold, heat, drought,
submergence and salinity
• Need for participatory, multidisciplinary research and
technology, development, evaluation and delivery through durable partnerships
durable partnerships
Effects of climate change on rice production Effects of climate change on rice production
• Extreme temperatures (cold and heat)
F d d h
• Frequent and severe droughts
• Floods
• High salinity
• Biotic stresses – blast brown spot RYMV Biotic stresses blast, brown spot, RYMV,
nematodes, etc
Heat stress in rice production systems Heat stress in rice production systems p p y y
All i d ti t d t h t t
• All rice production systems exposed to heat stress
• Heat stress leads to high spikelet sterility low tillering
• Heat stress leads to high spikelet sterility, low tillering, stunting and accelerated development
• Above 33 ºC sterility of rice drastically increases
• Severe yield reduction in sensitive genotypes
Daily temperatures at Ndiaye, Senegal in 2010
N D I A Y E ( 2 0 0 9 2 0 1 0 ) N D I A Y E ( 2 0 0 9 _ 2 0 1 0 )
5 0
e (°C) 3 0
4 0
Temperature
2 0
0 0 0 0 0 0
0 1 0
T m i n T m a x T m e a n
FEB MAR APR
JUL
0 1/ 0 1 /20 0
9
0 1/ 0 5 /20 0
9
0 1/ 0 9 /20 0
9
0 1/ 0 1 /20 1
0
0 1/ 0 5 /20 1
0
0 1/0 9 /20 1
0
• 240 genotypes screened across 4 sowing dates in Ndiaye, Senegal
• Daily minimum temps below 20°C from Dec-Mar
Sterility and growth duration of rice across Sterility and growth duration of rice across
different sowing dates in the Sahel different sowing dates in the Sahel different sowing dates in the Sahel different sowing dates in the Sahel
35 N22 160
20 25 30
80 100 120 140
re
IR64 Mean (244 vars)
5 10 15
Sterillity(%)
20 40 60 80
Days to matur
Sahel108 Chomrong
0
1 2 3 4
Sowing dates
0
1 2 3 4
Sowing dates
• Sterility highest on average for the April sowing date
• Growth duration longest for the Feb sowing date
Biomass production across sowing dates in Biomass production across sowing dates in
the Sahel the Sahel
250 300
ature 150
200 250
Days to ma
N22
SAHEL108 CHOMRONG
AVERAGE
0 50 100
Sowing dates
IR64 0 N22
1 2
3 4
• Highest biomass production observed in the February sowing date
Daily temperatures at Fanaye, Senegal in 2010
F a n a y e M a x i _ M i n i T e m p e r a t u r e
4 5
5 0 M a x i _ t e m p
M i n _ t e m p A v g _ t e m p
Mean flowering date
ure °C
3 5 4 0
Temperatu
2 5 3 0
0 0 0 0 0 0 0
1 0 1 5 2 0
Sowing date
1 /2 /2 01 0
1 /3 /2 01 0
1 /4 /2 01 0
1 /5 /2 01 0
1 /6 /2 01 0
1 /7 /2 01 0
1 /8 /2 01 0
• Fanaye with continental climate hotter than Ndiaye, Senegal
• On average Feb sowing leads to flowering in Apr-May
Heat Tolerance Nursery Heat Tolerance Nursery
Entry name Yield (kg/ha) Sterility (%) HM (cm) 50% FLO MAT (DAS) (DAS)
IR 197 46-28-2-2 11392 23 70 108 136
IR 50 9890 29 85 108 130
SAHEL 159 9782 25 93 100 139
SAHEL 134 9616 34 95 108 139
GIZA 176 9529 38 100 108 139
IR 1567 228-3-3 9299 20 87 108 136
GIZA 178 9271 40 95 108 139
GIZA 178 9271 40 95 108 139
SAMBALA MALO 9201 14 86 100 130
CR 547-1-2-3 9148 38 86 108 130
SAHEL108 (local check) 8753 38 86 83 109
N 22 (Tolerant check) 8743 24 106 124 147
Mean 6 914 28 101 103 132
CV 25.3 33.6 12.7
LSD 2848 15.7 22.08
• Four entries yielded above 9 t/ha and had less than 30% sterility (IR 19746-28-2-2, IR 50, IR 1567-228-3-3, CR 547-1-2-3)
• Sahel 159 promising with less than 30% sterility and yield of 9 8 tons/ha
• Sahel 159 promising, with less than 30% sterility and yield of 9.8 tons/ha
Opportunities for heat tolerance Opportunities for heat tolerance
breeding using African rice breeding using African rice breeding using African rice breeding using African rice
• O. glaberrima accessions found to have higher leaf transpiration rates than O sativa
transpiration rates than O. sativa
• Under non-moisture limiting conditions this helps to dissipate heat faster from leaves
dissipate heat faster from leaves
• Peak period for blooming in rice is 11.00 a.m. when
temperatures could exceed critical temperature of 33 ºC temperatures could exceed critical temperature of 33 ºC
• Blooming in O. glaberrima peaks at 7.00-8.00 a.m.
• Potentially very important escape strategy
Cold stress in rice production systems Cold stress in rice production systems p p y y
• Cold stress affects rice production in Africa through
Seasonal temperat re ariation Sahel region – Seasonal temperature variation – Sahel region
– Altitudinal temperature variation – mainly East Africa
• Cold stress leads to high spikelet sterility, low tillering, stunting and delayed development
• Below 20 ºC sterility of rice drastically increases
• Severe yield reduction in sensitive genotypes
Cold
Cold tolerance breeding tolerance breeding
12 day old seedlings grown in soil in metal trays immersed in cold water at 12° for 3 weeks
Temperature regulated screen house
Cold screening
Cold screening -- Seedling tolerance Seedling tolerance
7 8 9 10
Notes
3 4 5 6 7
bon bon
0 1 2
IR36 KOSH NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC NERIC SILEW Génotypes
HIHIKARI CA-L1 CA-L10 CA-L11 CA-L14 CA-L17 CA-L18 CA-L2 CA-L22 CA-L24 CA-L3 CA-L33 CA-L34 CA-L35 CA-L36 CA-L38 CA-L39 CA-L41 CA-L42 CA-L49 CA-L5 CA-L51 CA-L54 CA-L56 CA-L58 CA-L6 CA-L60 CA-L8 CA-L9 WAH
1ère notation 2ème notation
•12 day old seedlings grown in soil in metal trays immersed in cold water at 12° C for 3 weeks
• Four lowland NERICAs) (NERICA L-2, NERICA L-22, NERICA L-42 and NERICA L-9) found tolerant to cold at early seedling stage
tolerant to cold at early seedling stage
Field
Field evaluation evaluation in in participatory participatory varietal varietal trials trials
Rwanda cold tolerance PVS tolerance PVS
Madagascar cold tolerance PVS
•Promising breeding lines are evaluated in on-farm trials in participatory varietal trials
• Farmers’ selected lines are then submitted for national release as new varieties
MAB scheme for stress tolerance MAB scheme for stress tolerance
D
Donors:
Heat tolerance - N22
Cold - Silewah ( CTB-1, CTB-2)
Recurrent/Donor Recurrent //
BC
1F
1( , )
M202 (qCTS12a)
R i i t i ti l l l i ti
Selected BC
1F
1BC
1F
1/ Recurrent
Recipient varieties: popular local varieties Sahel 108, Sahel 201, BG90-2, Kogoni 91-1, NL19, Bouake189, Rassi, NERICA
BC
2F
1Selected BC
2F
1L-19, ITA212…
Routine use of MAB: transfer the QTLs
BC
2F
1/ Recurrent BC F
BC
2F
2Routine use of MAB: transfer the QTLs into adapted backgrounds through foreground and background selection
BC
3F
1Selected BC
3F
1BC
3F
2X
Seed increase, Evaluation, National release