Simulation model of rainfed rice production on sloping land in northeast Thailand

Suzuki, Kenji; Gotō, Akira; Mizutani, Masakazu; Sriboonlue, Vichai

doi:10.1007/s10333-003-0017-0

Cited by 16 publications

(9 citation statements)

References 1 publication

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“…The main growing season starts approximately when surface water begins to persist in a paddy field. This roughly corresponds with the beginning of the wet season, but the actual timing and duration of the flooded period depend heavily on the amount of rainfall, on the toposequence of the paddy, and on its permeability to water (Suzuki et al 2003;Homma et al 2004;Tsubo et al 2007). Even within a small watershed, over an area as small as a few square kilometers (Homma et al 2003), water and soil conditions are highly heterogeneous and grain yields of each paddy field can range from almost nil to as much as 6 t ha -1 (Miyagawa and Kuroda 1988b;Homma et al 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Many previous field surveys have revealed important characteristics of rice farming practices and field-level yield constraints in Northeast Thailand (e.g., Miyagawa and Kuroda 1988b;Suzuki et al 2003;Homma et al 2003), but they did not provide sufficient quantitative data for us to develop a crop calendar that reflects how water availability determines when rice is planted. Our hypothesis was that characterization of the crop calendar on a regional scale in the rain-fed lowland areas of Northeast Thailand could be performed using only a single primary factor: the quantity and timing of precipitation.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand

Sawano

Hasegawa

Goto

et al. 2008

Paddy Water Environ

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Rain-fed lowlands are major agricultural ecosystems used for rice production in Northeast Thailand. Developing a tool to assess the effects of variable water conditions on the regional scale yield is also important to predict the effects of climate change on food supply. To estimate regional yields, we need a simple but accurate measure of the crop calendar (i.e., the distribution of planting dates), which has a strong influence on grain yield. In this article, we modeled the dependence of the crop calendar on rainfall patterns based on a survey of the region's farmers as a part of an effort to provide a stronger basis for regional yield estimates. Our survey, conducted in 11 provinces for 2 years, confirmed the existence of large windows for sowing and transplanting versus narrow windows for heading and harvesting for rain-fed lowland rice culture in all the provinces. Variable water, soil, and toposequential conditions in the paddy fields were responsible for the large sowing and transplanting windows, whereas the use of photoperiod-sensitive varieties explained the narrow windows for heading and harvesting. The crop calendar was well expressed as a function of cumulative precipitation from June onward. When the crop calendar model was combined with a simple phenologybased model that uses growing degree-days adjusted by a day-length factor, we could estimate the rice crop calendar under rain-fed lowland conditions with acceptable accuracy. The model described in this article will be combined with a crop growth model to improve regional yield estimates for rain-fed lowland rice.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand

Sawano

Hasegawa

Goto

et al. 2008

Paddy Water Environ

View full text Add to dashboard Cite

show abstract

“…Some crop growth models for rain-fed lowland rice have been developed to simulate field-to-field variability within small watersheds (Fukai et al 1995;Ohnishi et al 1999a;Homma et al 2001;Suzuki et al 2003), but a method that can translate field-scale yield variability into regional-scale yield is lacking, which limits our ability to predict future rice production under changing climate and variable water resources. In this paper, we introduce a simple crop growth model that can be combined with a crop calendar model (Sawano et al 2008) to simulate changes in the regional yield of lowland rain-fed rice in response to changing water conditions and crop management practices.…”

Section: Introductionmentioning

confidence: 99%

A model driven by crop water use and nitrogen supply for simulating changes in the regional yield of rain-fed lowland rice in Northeast Thailand

Hasegawa

Sawano

Goto

et al. 2008

Paddy Water Environ

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Climate change will have significant impacts on the rain-fed rice production ecosystem, and particularly on the ecosystem's hydrology and water resources. Under rain-fed lowland conditions, substantial variations among fields in grain yield are commonly observed, but a method that can account for field-scale yield variability to produce regional-scale yield estimates is lacking, thereby limiting our ability to predict future rice production under changing climate and variable water resources. In this study, we developed a model for estimating regional yields of rainfed lowland rice in Northeast Thailand, by combining a simple crop model with a crop calendar model. The crop model incorporates the effects of two important resources (water and nitrogen) on crop growth. The biomass accumulation is driven by water use, whereas the nitrogen supply determines canopy development and thereby constrains crop water use. Accounting for the wide range of planting dates and the strong photoperiod-sensitive characteristics of rice varieties through the calendar model is an essential component in determining regional yield estimates. The present model does not account for the effects of mid-season drought or flooding, but was nonetheless able to explain the spatial and temporal yield variations at the province level for the past 25 years. Thus, it can be used as a prototype for simulating regional yields of rainfed lowland rice.

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“…Suzuki et al [4] developed and used a hydrologic model to simulate water movements and estimate rice productivity under various conditions on a sloping land in northeast Thailand. Tsubo et al [5] developed a water balance model for rainfed lowland rice fields to emphasize lateral water movement within a toposequence and analyzed the water balance characteristics in relation to the topology.…”

Section: Introductionmentioning

confidence: 99%

Effects of puddling on percolation and rice yields in rainfed lowland paddy cultivation: Case study in Khammouane province, central Laos

Fujihara¹,

Yamada²,

Oda³

et al. 2013

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We investigated the effects of puddling on percolation and rice yields in rainfed lowland paddy cultivation. We selected a study village in Khammouane province, central Laos, and set up non-puddling and puddling plots from high to low positions. Even when puddling was conducted carefully, the ponding water in the plots disappeared in the case of little rainfall. Further, percolations during the later periods of rice growth increased drastically. Therefore, it is difficult to overcome drought stresses only by conducting puddling. We also compared the water conditions in the non-puddling and puddling plots. In the puddling plots at high position and low position along a stream, the number of days without ponding water in the puddling plots was less than that in the non-puddling field in July, suggesting the possibility of a different transplanting date. We tried to estimate the effects of transplanting date on the rice yields and found that transplanting 15 days earlier leads to an increase of 0.5 t/ha in the rice yields. Moreover, the profits from the increased yields exceed the puddling costs considerably, leading to a definite increase in income. Because the transplanting date has no effects in the fields with high ground water, puddling is effective in paddy fields where ponding does not occur to a significant degree.

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Simulation model of rainfed rice production on sloping land in northeast Thailand

Cited by 16 publications

References 1 publication

Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand

Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand

A model driven by crop water use and nitrogen supply for simulating changes in the regional yield of rain-fed lowland rice in Northeast Thailand

Effects of puddling on percolation and rice yields in rainfed lowland paddy cultivation: Case study in Khammouane province, central Laos

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