Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 2. Chilling-induced spikelet sterility

Dingkuhn, Michaël; Radanielina, Tendro; Raboin, Louis-Marie; Dusserre, Julie; Ramantsoanirina, Alain; Sow, Abdoulaye; Manneh, Baboucarr; Baldé, Alpha Bocar; Soulié, Jean-Christophe; Shrestha, Suchit Prasad; Ahmadi, Nourollah; Courtois, B.

doi:10.1016/j.fcr.2015.07.024

Cited by 24 publications

(20 citation statements)

References 27 publications

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“…Dingkuhn et al. () showed that for the same variety at the same estimated minimum water temperature at booting to heading stage, measured cold sterility was much larger in Senegal than in Madagascar. The nature of cold is different in East and West Africa.…”

Section: Methodsmentioning

confidence: 98%

“…This roughly explains the greater cold sensitivity in West Africa. We used for West and East Africa the following equations derived from data reported in (Dingkuhn et al., ) for variety IR64:

S F C O L D 1 = \{\begin{matrix} max (0, min false(1, 1 - (2.32 - 0.104 \times T_{wmin}) false)) & WEST \\ max (0, min false(1, 1 - (1.04 - 0.046 \times T_{wmin}) false)) & EAST \end{matrix} 0.65 \leq D V S < 0.825

S F C O L D 2 = \{\begin{matrix} max (0, min false(1, 1 - (2.32 - 0.104 \times T_{\min}) false)) & WEST \\ max (0, min false(1, 1 - (1.04 - 0.046 \times T_{\min}) false)) & EAST \end{matrix} 0.65 \leq D V S < 0.825

italicSFCOLD = min false(SFCOLD 1 false) \times \bar{S F C O L D 2}

…”

Section: Methodsmentioning

confidence: 99%

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Impacts of climate change on rice production in Africa and causes of simulated yield changes

Oort

Zwart

2017

Global Change Biology

209

101

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This study is the first of its kind to quantify possible effects of climate change on rice production in Africa. We simulated impacts on rice in irrigated systems (dry season and wet season) and rainfed systems (upland and lowland). We simulated the use of rice varieties with a higher temperature sum as adaptation option. We simulated rice yields for 4 RCP climate change scenarios and identified causes of yield declines. Without adaptation, shortening of the growing period due to higher temperatures had a negative impact on yields (−24% in RCP 8.5 in 2070 compared with the baseline year 2000). With varieties that have a high temperature sum, the length of the growing period would remain the same as under the baseline conditions. With this adaptation option rainfed rice yields would increase slightly (+8%) but they remain subject to water availability constraints. Irrigated rice yields in East Africa would increase (+25%) due to more favourable temperatures and due to CO2 fertilization. Wet season irrigated rice yields in West Africa were projected to change by −21% or +7% (without/with adaptation). Without adaptation irrigated rice yields in West Africa in the dry season would decrease by −45% with adaptation they would decrease significantly less (−15%). The main cause of this decline was reduced photosynthesis at extremely high temperatures. Simulated heat sterility hardly increased and was not found a major cause for yield decline. The implications for these findings are as follows. For East Africa to benefit from climate change, improved water and nutrient management will be needed to benefit fully from the more favourable temperatures and increased CO2 concentrations. For West Africa, more research is needed on photosynthesis processes at extreme temperatures and on adaptation options such as shifting sowing dates.

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Section: Methodsmentioning

confidence: 98%

“…This roughly explains the greater cold sensitivity in West Africa. We used for West and East Africa the following equations derived from data reported in (Dingkuhn et al., ) for variety IR64:

S F C O L D 1 = \{\begin{matrix} max (0, min false(1, 1 - (2.32 - 0.104 \times T_{wmin}) false)) & WEST \\ max (0, min false(1, 1 - (1.04 - 0.046 \times T_{wmin}) false)) & EAST \end{matrix} 0.65 \leq D V S < 0.825

S F C O L D 2 = \{\begin{matrix} max (0, min false(1, 1 - (2.32 - 0.104 \times T_{\min}) false)) & WEST \\ max (0, min false(1, 1 - (1.04 - 0.046 \times T_{\min}) false)) & EAST \end{matrix} 0.65 \leq D V S < 0.825

italicSFCOLD = min false(SFCOLD 1 false) \times \bar{S F C O L D 2}

…”

Section: Methodsmentioning

confidence: 99%

Impacts of climate change on rice production in Africa and causes of simulated yield changes

Oort

Zwart

2017

Global Change Biology

209

101

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“…Firstly, our EGMS lines have sterility at long days whereas normal varieties do not have this trait. And secondly, cold sterility for our EGMS lines was much smaller than for the varieties studied by van Oort et al 2015a, Julia and Dingkuhn 2013, Dingkuhn et al 2015a. For this reason we developed a new sterility model and tested for interaction between daylength and temperature effects.…”

Section: Discussionmentioning

confidence: 91%

“…We therefore included the cold sterility sub-model in the full model despite the non-significant b C1 parameter. We included the model with T min ( PIFL ) because previous research for non-EGMS varieties (Dingkuhn et al 2015a, van Oort et al 2015a) showed that T min is a better predictor for cold sterility than T avg or T max .…”

Section: Resultsmentioning

confidence: 99%

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Phenology, sterility and inheritance of two environment genic male sterile (EGMS) lines for hybrid rice

El-Namaky¹,

Oort

2017

Rice

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BackgroundThere is still limited quantitative understanding of how environmental factors affect sterility of Environment-conditioned genic male sterility (EGMS) lines. A model was developed for this purpose and tested based on experimental data from Ndiaye (Senegal) in 2013-2015. For the two EGMS lines tested here, it was not clear if one or more recessive gene(s) were causing male sterility. This was tested by studying sterility segregation of the F2 populations. ResultsDaylength (photoperiod) and minimum temperatures during the period from panicle initiation to flowering had significant effects on male sterility. Results clearly showed that only one recessive gene was involved in causing male sterility. The model was applied to determine the set of sowing dates of two different EGMS lines such that both would flower at the same time the pollen would be completely sterile. In the same time the local popular variety (Sahel 108, the male pollen donor) being sufficiently fertile to produce the hybrid seeds. The model was applied to investigate the viability of the two line breeding system in the same location with climate change (+2oC) and in two other potential locations: in M’Be in Ivory Coast and in the Nile delta in Egypt.ConclusionsApart from giving new insights in the relation between environment and EGMS, this study shows that these insights can be used to assess safe sowing windows and assess the suitability of sterility and fertility period of different environments for a two line hybrid rice production system.

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Plant Breeding Under a Changing Climate

Dreccer

Bonnett

Lafarge

2018

Encyclopedia of Sustainability Science and Technology

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Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 2. Chilling-induced spikelet sterility

Cited by 24 publications

References 27 publications

Impacts of climate change on rice production in Africa and causes of simulated yield changes

Impacts of climate change on rice production in Africa and causes of simulated yield changes

Phenology, sterility and inheritance of two environment genic male sterile (EGMS) lines for hybrid rice

Plant Breeding Under a Changing Climate

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