Your search found 4 records
1 1989. Operation procedures. v.p.
Irrigation operation ; Irrigation practices ; Irrigation requirements ; Water management ; Water distribution ; Measurement ; Irrigation canals ; Water user associations / Indonesia / Sumatra / Java / Jatiluhur / Yogyakarta / Lampung
(Location: IWMI-HQ Call no: P 3566 Record No: H015036)
2 Setiawan, B. B. 2002. Integrating environmental goals into urban redevelopment schemes: Lessons from the Code River, Yogyakarta, Indonesia. Water Science and Technology, 45(11):71-76.
Environmental effects ; Urbanization ; Poverty ; Settlement ; Community development ; Flood water ; Natural disasters ; River basins ; Social participation / Indonesia / Yogyakarta
(Location: IWMI-HQ Call no: P 6692 Record No: H033824)
3 Hussain, Intizar; Wijerathna, Deeptha; Arif, Sigit; Murtiningrum; Mawarni, Agnes; Suparmi. 2006. Irrigation, productivity and poverty linkages in irrigation systems in Java, Indonesia. Water Resources Management, 20:313-336.
Irrigation management ; Poverty ; Measurement ; Crops ; Diversification ; Productivity ; Cropping systems ; Households ; Income / Indonesia / Java / Yogyakarta
(Location: IWMI-HQ Call no: IWMI 631.7.3 G662 HUS Record No: H038989)
4 Silva, J. V.; Pede, V. O.; Radanielson, A. M.; Kodama, W.; Duarte, A.; de Guia, A. H.; Malabayabas, A. J. B.; Pustika, A. B.; Argosubekti, N.; Vithoonjit, D.; Hieu, P. T. M.; Pame, A. R. P.; Singleton, G. R.; Stuart, A. M. 2022. Revisiting yield gaps and the scope for sustainable intensification for irrigated lowland rice in Southeast Asia. Agricultural Systems, 198:103383. [doi: https://doi.org/10.1016/j.agsy.2022.103383]
Irrigated rice ; Sustainable intensification ; Crop yield ; Yield gap ; Lowland ; Food security ; Smallholders ; Crop management ; Cropping systems ; Fertilizers ; Dry season ; Wet season ; Socioeconomic aspects ; Sustainability ; Crop modelling ; Stochastic models / South East Asia / Myanmar / Indonesia / Thailand / Vietnam / Mekong Delta / Bago / Can Tho / Nakhon Sawan / Yogyakarta
(Location: IWMI HQ Call no: e-copy only Record No: H051066)
https://www.sciencedirect.com/science/article/pii/S0308521X22000191/pdfft?md5=29c07ab1e430a194fc17de50b1e72574&pid=1-s2.0-S0308521X22000191-main.pdf
https://vlibrary.iwmi.org/pdf/H051066.pdf
https://vlibrary.iwmi.org/pdf/H051066.pdf
(7.40 MB) (7.40 MB)
CONTEXT: Recent studies on yield gap analysis for rice in Southeast Asia revealed different levels of intensification across the main ‘rice bowls’ in the region. Identifying the key crop management and biophysical drivers of rice yield gaps across different ‘rice bowls’ provides opportunities for comparative analyses, which are crucial to better understand the scope to narrow yield gaps and increase resource-use efficiencies across the region.
OBJECTIVE: The objective of this study was to decompose rice yield gaps into their efficiency, resource, and technology components and to map the scope to sustainably increase rice production across four lowland irrigated rice areas in Southeast Asia through improved crop management.
METHODS: A novel framework for yield gap decomposition accounting for the main genotype, management, and environmental factors explaining crop yield in intensive rice irrigated systems was developed. A combination of crop simulation modelling at field-level and stochastic frontier analysis was applied to household survey data to identify the drivers of yield variability and to disentangle efficiency, resource, and technology yield gaps, including decomposing the latter into its sowing date and genotype components.
RESULTS AND CONCLUSION: The yield gap was greatest in Bago, Myanmar (75% of Yp), intermediate in Yogyakarta, Indonesia (57% of Yp) and in Nakhon Sawan, Thailand (47% of Yp), and lowest in Can Tho, Vietnam (44% of Yp). The yield gap in Myanmar was largely attributed to the resource yield gap, reflecting a large scope to sustainably intensify rice production through increases in fertilizer use and proper weed control (i.e., more output with more inputs). In Vietnam, the yield gap was mostly attributed to the technology yield gap and to resource and efficiency yield gaps in the dry season and wet season, respectively. Yet, sustainability aspects associated with inefficient use of fertilizer and low profitability from high input levels should also be considered alongside precision agriculture technologies for site-specific management (i.e., more output with the same or less inputs). The same is true in Thailand, where the yield gap was equally explained by the technology, resource, and efficiency yield gaps. The yield gap in Indonesia was mostly attributed to efficiency and technology yield gaps and yield response curves to N based on farmer field data in this site suggest it is possible to reduce its use while increasing rice yield (i.e., more output with less inputs).
SIGNIFICANCE: This study provides a novel approach to decomposing rice yield gaps in Southeast Asia's main rice producing areas. By breaking down the yield gap into different components, context-specific opportunities to narrow yield gaps were identified to target sustainable intensification of rice production in the region.
OBJECTIVE: The objective of this study was to decompose rice yield gaps into their efficiency, resource, and technology components and to map the scope to sustainably increase rice production across four lowland irrigated rice areas in Southeast Asia through improved crop management.
METHODS: A novel framework for yield gap decomposition accounting for the main genotype, management, and environmental factors explaining crop yield in intensive rice irrigated systems was developed. A combination of crop simulation modelling at field-level and stochastic frontier analysis was applied to household survey data to identify the drivers of yield variability and to disentangle efficiency, resource, and technology yield gaps, including decomposing the latter into its sowing date and genotype components.
RESULTS AND CONCLUSION: The yield gap was greatest in Bago, Myanmar (75% of Yp), intermediate in Yogyakarta, Indonesia (57% of Yp) and in Nakhon Sawan, Thailand (47% of Yp), and lowest in Can Tho, Vietnam (44% of Yp). The yield gap in Myanmar was largely attributed to the resource yield gap, reflecting a large scope to sustainably intensify rice production through increases in fertilizer use and proper weed control (i.e., more output with more inputs). In Vietnam, the yield gap was mostly attributed to the technology yield gap and to resource and efficiency yield gaps in the dry season and wet season, respectively. Yet, sustainability aspects associated with inefficient use of fertilizer and low profitability from high input levels should also be considered alongside precision agriculture technologies for site-specific management (i.e., more output with the same or less inputs). The same is true in Thailand, where the yield gap was equally explained by the technology, resource, and efficiency yield gaps. The yield gap in Indonesia was mostly attributed to efficiency and technology yield gaps and yield response curves to N based on farmer field data in this site suggest it is possible to reduce its use while increasing rice yield (i.e., more output with less inputs).
SIGNIFICANCE: This study provides a novel approach to decomposing rice yield gaps in Southeast Asia's main rice producing areas. By breaking down the yield gap into different components, context-specific opportunities to narrow yield gaps were identified to target sustainable intensification of rice production in the region.
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