Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

Rahman, Abu Nasar Md. Aminoor; Kang, Suchul; Nagabhatla, Nidhi; Macnee, Robert

doi:10.1186/s40066-017-0089-5

Cited by 92 publications

(50 citation statements)

References 28 publications

(44 reference statements)

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“…Long-term trends often present in the rice production, area harvested and yield data as a result of technological advances and additional farming techniques. The Ordinary Least Square (OLR) method (Tiamiyu et al, 2015;Pheakdey et al, 2017;Rahman et al, 2017) was then used to detrend for each of those time series. This method is robust to the effect of outliers in the series and is more suitable for estimating linear trend of non-normally distributed data.…”

Section: Analysis Methodsmentioning

confidence: 99%

“…A correlation was taken to be significant when the nocorrelation null hypothesis was exceeded with a probability of 95% and highly significant when the probability was 99% (Zubair, 2002;Asada and Matsumoto, 2009). A multiple linear regression was also analyzed to quantify the impact of ENSO and climate variability on rice production and yield where significant correlations had been found (Roberts et al, 2009;Tiamiyu et al, 2015;Rahman et al, 2017).…”

Section: Analysis Methodsmentioning

confidence: 99%

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Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Limsakul¹

2019

EnNRJ

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The impacts of ENSO and its associated climate variability on Thailand's rice production, area harvested and yield during 1961-2016 were examined. Analysis showed that year-to-year weather-related variations in Thailand's rice production, area harvested and yield which accounted for about one third of total interannual variance tended to vary in response to the phase reversals of ENSO events, with large decreases occurred during El Niño events. Rice production, area harvested and yield also exhibited lower (higher) than normal during the years when Thailand experienced deficit (excess) rainfall and lower (greater) number of rainy days. These results in combination with the previous studies suggest that ENSO exerts its influence on rice production and yield in Thailand via inducing anomalies in rainfall and temperature. Another noteworthy finding was the asymmetrical ENSO-Thailand's rice production relationship. Significant decline was observed only during El Niño events, highlighting a much greater influence of El Niño events on Thailand's rice production, area harvested and yield than La Niña events. This observation provides additional evidence extending the previously reported asymmetry in the ENSO-rainfall relationship in Thailand to rice production and yield as well. Hence, the asymmetrical ENSO-rice relationship should be taken into account when developing linearly predictive model.

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Section: Analysis Methodsmentioning

confidence: 99%

Section: Analysis Methodsmentioning

confidence: 99%

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Limsakul¹

2019

EnNRJ

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“…Rice had R 2 value of 0.704, showing 70 % variation in rice yield was associated with climate variability. Studies in Nigeria (Tiamiyu et al, 2015) Bangladesh (Amin et al, 2015;Rahman et al, 2017), India (Elbariki et al, 2014) and Pakistan (Shakoor et al, 2015) noted similarly that climate variability affects rice yield.…”

Section: Climate-crop Yield Relationship In the Basinmentioning

confidence: 98%

Climate Variability Effect on Food Crop Yield among the Smallholder Farmers in Lower Offin River Basin, Ghana

Mensah-Brako¹,

Kotei²

2019

JAES

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The study assesses the effects of climate variability on food crop yield of the smallholder farmers in the Lower Offin River Basin, Ghana. Spline Interpolation and Spearman rank correlation coefficient were employed to examine the spatial and seasonal distribution of climate variables. Yield anomaly index and multiple linear regression models were used to assess the effect of climate variability on food crop yield. The results showed that the higher values of seasonality and replicability indices of rainfall indicate that rainfall is concentrated within few months causing prolonged dry spells and frequent droughts during the cropping period. The regression analysis revealed that climate variability has had differential impacts on the yield of maize, rice, cassava, yam, cocoyam and plantain ranging from 18.4 % in the case of plantain to 80.0 % in the case of cocoyam. Also, cocoyam, yam and rice were much more affected by climatic conditions in contrast with maize, cassava and plantain. Therefore, there is the need to adopt drought-resistant high-yielding crop varieties to sustain high crop yield. Again, cassava and plantain have the potential to withstand climate variability which is very significant in the Lower Offin River Basin.

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“…Water-saving rice production practices like aerobic rice (Bouman et al, 2007;Humphreys et al, 2005), alternate wetting and drying -AWD (Cabangon et al, 2001;Humphreys et al, 2005), direct seeded rice -DSR (Humphreys et al, 2005), raised beds (Connor et al, 2003;Humphreys et al, 2005;Jehangir, Murray-Rust, Masih & Shimizu, 2002), a system of rice intensification -SRI (Uphoff & Randriamiharisoa, 2003), a ground-cover rice production system -GCRPS (Dittert et al, 2003), and rice-based conservation agriculture (Gathala et al, 2015;Hobbs, Sayre & Gupta, 2008), can reduce unproductive water outflows and increase crop water-use efficiency (WUE). However, these technologies can sometimes lead to a yield penalty with temperature rise and erratic precipitation patterns (Rahman, Kang, Nagabhatla & Macnee, 2017). In fact, there is a huge uncertainty in the onset of monsoon in South Asia.…”

Section: Introductionmentioning

confidence: 99%

Climate Change-Resilient Rice Production Technology: A High Yielding, Water Efficient and Remunerative Option for South Asian Farmers

Biswas¹,

Timsina²,

Patra³

et al. 2019

Global J. Ag. Allied Sc.

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Rice (Oryza sativa L.) production in South Asia is increasingly threatened by the erratic nature of onset of monsoon rain and climate change. Wide variance in rainfall pattern affects the timing of nursery raising and transplanting later in the main field. Existing rice cultivation practices such as direct seeded rice using drum seeder (DSR), system of rice intensification (SRI) and conventional transplanting (CT) are not able to address the production problems adequately. Therefore, we developed a package of practices - Climate Change-Resilient Rice Production Technology (CRRPT) - which allows keeping rice seedlings in the seedbed for an extended period to synchronize with the onset of monsoon rain. On-station trials during 2015-2016 comparing CRRPT with DSR, SRI and CT demonstrated that in CRRPT the seedlings can be maintained successfully in the seedbed for up to 55 days while achieving the equivalent yield of CT (30 days seedling) because of improved plant vigour. The CRRPT seedlings of 25 d and 35 d gave 22% and 11% more yield compared to CT (30 d seedling). Total water requirement in CRRPT was reduced by 20%, 14% and 13% in case of 55d, 45d and 35 d seedling, respectively, compared to that for CT (30 d seedling). In an on-farm study with 120 farmers’ fields in West Bengal during 2017-2018, average yield increased by 32% and net profit increased by 96%. Thus, CRRPT is remunerative, water efficient, climate change-resilient and can be easily adopted in the farmers’ fields. Results demonstrate that there is wide scope for its adoption for sustainable rice production in West Bengal and South Asia.

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Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

Cited by 92 publications

References 28 publications

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Climate Variability Effect on Food Crop Yield among the Smallholder Farmers in Lower Offin River Basin, Ghana

Climate Change-Resilient Rice Production Technology: A High Yielding, Water Efficient and Remunerative Option for South Asian Farmers

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