Your search found 7 records
1 Radanielson, A. M.; Angeles, O.; Li, T.; Rahman, A. K.; Gaydon, D. 2015. Optimizing use of fresh and saline water for irrigation of boro rice in salt affected areas of Bangladesh using the crop model ORYZA v3. In Humphreys, E.; Tuong, T. P.; Buisson, Marie-Charlotte; Pukinskis, I.; Phillips, M. (Eds.). Proceedings of the CPWF, GBDC, WLE Conference on Revitalizing the Ganges Coastal Zone: Turning Science into Policy and Practices, Dhaka, Bangladesh, 21-23 October 2014. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.477-491.
Water use ; Freshwater ; Saline water ; Water management ; Irrigation management ; Water productivity ; Agricultural production ; Models ; Rice ; Sowing date ; Plant growth ; Crop yield ; Soil salinity / Bangladesh / Philippines / Satkhira / Quezon / Infanta
(Location: IWMI HQ Call no: IWMI Record No: H047200)
https://cgspace.cgiar.org/bitstream/handle/10568/66389/Revitalizing%20the%20Ganges%20Coastal%20Zone%20Book_Low%20Version.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H047200.pdf
(0.65 MB) (11.9 MB)

2 Saha, N. K.; Mondal, M. K.; Humphreys, E.; Bhattacharya, J.; Rashid, M. H.; Paul, P. C.; Ritu, S. P. 2015. Triple rice in a year: is it a feasible option for the low salinity areas of the coastal zone of Bangladesh? In Humphreys, E.; Tuong, T. P.; Buisson, Marie-Charlotte; Pukinskis, I.; Phillips, M. (Eds.). Proceedings of the CPWF, GBDC, WLE Conference on Revitalizing the Ganges Coastal Zone: Turning Science into Policy and Practices, Dhaka, Bangladesh, 21-23 October 2014. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.421-435.
Cropping systems ; Sequential cropping ; Rice ; High yielding varieties ; Tillage ; Sowing date ; Crop yield ; Productivity ; Water management ; Salinity ; Fertilizer application ; Pest control ; Weed control ; Disease control ; Coastal area / Bangladesh / Patuakhali
(Location: IWMI HQ Call no: IWMI Record No: H047209)
https://cgspace.cgiar.org/bitstream/handle/10568/66389/Revitalizing%20the%20Ganges%20Coastal%20Zone%20Book_Low%20Version.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H047209.pdf
(0.30 MB) (11.9 MB)

3 Mondal, M. K.; Paul, P. L. C.; Humphreys, E.; Tuong, T. P.; Ritu, S. P.; Rashid, M. A. 2015. Opportunities for cropping system intensification in the coastal zone of Bangladesh. In Humphreys, E.; Tuong, T. P.; Buisson, Marie-Charlotte; Pukinskis, I.; Phillips, M. (Eds.). Proceedings of the CPWF, GBDC, WLE Conference on Revitalizing the Ganges Coastal Zone: Turning Science into Policy and Practices, Dhaka, Bangladesh, 21-23 October 2014. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.449-476.
Cropping systems ; Crop management ; Seasonal cropping ; Intensification ; Coastal area ; High yielding varieties ; Crop yield ; Rice ; Sowing date ; Fertilizer application ; Harvesting ; Farmers ; Water levels ; Drainage ; Rain ; Salinity ; Temperature / Bangladesh / Khulna / Barguna / Barisal / Amtali / Batiaghata / Bazarkhali / Hatbati / Kismat Fultola
(Location: IWMI HQ Call no: IWMI Record No: H047210)
https://cgspace.cgiar.org/bitstream/handle/10568/66389/Revitalizing%20the%20Ganges%20Coastal%20Zone%20Book_Low%20Version.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H047210.pdf
(0.73 MB) (11.9 MB)

4 Bhatti, Muhammad Tousif; Balkhair, K. S.; Masood, A.; Sarwar, S. 2018. Optimized shifts in sowing times of field crops to the projected climate changes in an agro-climatic zone of Pakistan. Experimental Agriculture, 54(2):201-213. [doi: https://doi.org/10.1017/S0014479716000156]
Climate change ; Agroclimatic zones ; Sowing date ; Farmland ; Cotton industry ; Wheats ; Emission ; Temperature ; Rain ; Water requirements ; Water availability ; Water supply ; Agriculture ; Precipitation ; Irrigation canals / Pakistan
(Location: IWMI HQ Call no: e-copy only Record No: H047487)
https://vlibrary.iwmi.org/pdf/H047487.pdf
(0.43 MB)
This paper evaluates 30-year (2013–2042) projections of the selected climatic parameters in cotton/wheat agro-climatic zone of Pakistan. A statistical bias correction procedure was adopted to eliminate the systematic errors in output of three selected general circulationmodels (GCM) under A2 emission scenario. A transfer function was developed between the GCM outputs and the observed time series of the climatic parameters (base period: 1980–2004) and applied to GCM future projections. The predictions detected seasonal shifts in rainfall and increasing temperature trend which in combination can affect the crop water requirements (CWR) at different phonological stages of the two major crops (i.e. wheat and cotton). CROPWAT model is used to optimize the shifts in sowing dates as a climate change adaptation option. The results depict that with reference to the existing sowing patterns, early sowing of wheat and late sowing of cotton will favour decreased CWR of these crops.

5 Haileselassie, H.; Araya, A.; Habtu, S.; Meles, K. G.; Gebru, G.; Kisekka, I.; Girma, A.; Hadgu, K. M.; Foster, A. J. 2016. Exploring optimal farm resources management strategy for Quncho-teff (Eragrostis tef (Zucc.) Trotter) using AquaCrop model. Agricultural Water Management, 178:148-158. [doi: https://doi.org/10.1016/j.agwat.2016.09.002]
Crop management ; Eragrostis tef ; Irrigation water ; Water productivity ; Models ; Farm management ; Strategies ; Crop yield ; Fertilizer application ; Sowing date ; Soil water characteristics ; Chemicophysical properties ; Rain ; Biomass ; Canopy ; Experimentation / Ethiopia / Mekelle
(Location: IWMI HQ Call no: e-copy only Record No: H047852)
https://vlibrary.iwmi.org/pdf/H047852.pdf
(1.52 MB)
Teff is a major staple food crop in Ethiopia. Moisture and soil fertility are the two major factors limiting teff yield. Studies were conducted across three sites in Ethiopa [Mekelle (MK) in 2012 and 2016, Ilala (IL) in 2012 and Debrezeit (DZ) in 2009 and 2010]. The objectives of these studies were (1) to assess the response of Quncho-teff to different fertilizer and irrigation levels; 2) to quantify irrigation water productivity (IWP), and (3) to collect data to calibrate and validate AquaCrop model for simulating yield and evaluate optimal irrigation and sowing date strategy for Quncho-teff at different locations in Ethiopia. The different fertilizer levels were: 1) 64 kg N and 46 kg P/ha (N2P2); 2); 32 kg N and 23 kg P/ha (N1P1); 3) 0 kg N and 0 kg P/ha (N0P0) and 4) 52 kg N and 46 kg P/ha (N3P3). The four irrigation treatments were: zero (rainfed), two, four and full irrigation applications. Findings showed that full irrigation in combination with high fertilizer (N2P2) could give better yield. However, during abnormal rainfall, spreading the available fertilizer at a rate of 32 kg N and 23 kg P/ha may be preferable to applying 64 kg N and 46 kg P/ha. This study also indicated that the regional fertilizer recommendations for teff need to be revised taking in to account the soil characteristics, climate and irrigation water availability. The AquaCrop model was able to simulate the observed canopy cover, soil water, biomass and yield of teff satisfactorily. Canopy cover was simulated with normalized root mean square error (NRMSE), index of agreement (I) and R2 of 7%, 0.5 and 0.8, respectively. Soil moisture during the season was simulated with NRMSE of 11.4–15.7%, I of 0.99 and R2 of 0.85–0.9. Simulated final aboveground biomass values were in close agreement with the measured (NRMSE, 7.8%, I, 0.89 and R2, 0.66). There was also good agreement between simulated and measured grain yield with NRMSE, I and R2 values of 10.9%, 0.93, 0.80, respectively. Scenario analysis indicated that early sowing was the best option to maximize teff yield with the least amount of irrigation. Scenario analysis also showed that one irrigation during flowering stage could substantially improve irrigation water productivity (IWP) of teff and minimize the yield loses which could occur due to shifting of sowing date from early to normal. Two irrigation applications also substantially improved the yield and IWP of late sown teff. However, to get high yield, a late sown teff should receive at least four irrigation applications during the mid-growth stage of the crop. These results suggest that AquaCrop model can be used to identify optimal farm resource management strategies for teff production.

6 Dar, E. A.; Brar, A. S.; Singh, K. B. 2017. Water use and productivity of drip irrigated wheat under variable climatic and soil moisture regimes in North-West, India. Agriculture, Ecosystems and Environment, 248:9-19. [doi: https://doi.org/10.1016/j.agee.2017.07.019]
Drip irrigation ; Irrigated farming ; Water use ; Water productivity ; Crop yield ; Wheat ; Climatic factors ; Rain ; Soil moisture ; Water balance ; Water conservation ; Irrigation management ; Irrigation scheduling ; Evapotranspiration ; Sowing date ; Experimental design / India / Punjab
(Location: IWMI HQ Call no: e-copy only Record No: H048319)
https://vlibrary.iwmi.org/pdf/H048319.pdf
(0.92 MB)
In North-Western India, wheat is normally irrigated at an IW: CPE of 0.9, with 75 mm depth of irrigation water (conventional irrigation practice, CP) resulting in wastage of water. An effective irrigation strategy is required that will save irrigation water without compromising yield penalty. So, an experiment was conducted at Punjab Agricultural University, Ludhiana during 2014–15 and 2015–16 in split plot design, keeping four sowing dates {25th October (D1), 10th November (D2), 25th November (D3) and 10th December (D4)} in the main plots and five irrigation schedules {irrigation at 15 (FC15), 25 (FC25), 35 (FC35) and 45 (FC45)% depletion of soil moisture from field capacity (FC) and a conventional practice} in sub plots. The objectives of the study were to evaluate the effect of drip irrigation amounts on field water balance, yield and water productivity of wheat. The results revealed that mean grain yield decreased by 8.3 & 8.7, 10.7 & 10.6 and 13.1 & 13.4% from D1 to D2, D2 to D3 and D3 to D4 during 2014-15 and 2015-16, respectively. Pooled grain yield decreased by 29% with delay in sowing from D1 to D4. Reduction in ETc was 10% in D4 as compared to D1 during 2014-15 and 24% during 2015-16. The highest grain yield was obtained with irrigation applied at 15% depletion from FC. The pooled grain yield decreased by 30%, ETc by 21% and water productivity by 29% in FC45 as compared to FC15. The water saving in drip irrigation during 2014-15 was 62, 70, 77 and 83% in FC15, FC25, FC35 and FC45 respectively as compared to CP. The respective values during 2015-16 were 38, 44, 54 and 60%. The results demonstrate that irrigating wheat at 15% depletion of FC using drip method of irrigation as a novel concept that saves irrigation water in addition to higher grain yield.

7 Adimassu, Zenebe; Mul, Marloes; Owusu, Afua. 2023. Intra-seasonal rainfall variability and crop yield in the Upper East Region of Ghana. Environment, Development and Sustainability, 20p. (Online first) [doi: https://doi.org/10.1007/s10668-023-03861-2]
Rainfall patterns ; Seasonal variation ; Crop yield ; Water requirements ; Dry spells ; Rainfed farming ; Maize ; Millets ; Sorghum ; Sowing date ; Water deficit ; Water management ; Climatic data ; Soil profiles ; Models / West Africa / Ghana / Navrongo / Zuarungu
(Location: IWMI HQ Call no: e-copy only Record No: H052251)
https://vlibrary.iwmi.org/pdf/H052251.pdf
(1.07 MB)
Occurrence of frequent dryspell is affecting agriculture; productivity in the semi-arid areas of West Africa such as northern Ghana. The objective of this study was to analyze the effects of dryspells on rainfed maize (early and late maturing), millet, and sorghum yields in a savanna agro-ecosystem in northern Ghana, and suggest management options for reducing their impacts. Long-term dryspell analyses were carried out using INSTAT + v3.37 on climatic data collected over a 30- to 50-year period. The probabilities of dryspells exceeding 7, 10, 14 and 21 days were calculated for crop types during different physiological growth stages and growing seasons of varying lengths. CROPWAT 8.0 was used to determine effective rainfall, crop water requirement, crop water deficit, and changes in yield. The results showed that 80% of the rains begin between the second week of May and the third week of June in the Upper East Region of Ghana. The result also revealed that more dryspells occurred after the initial growth stage of crops. During mid and late stages of crop growth there was a 50% probability of dryspells greater than seven days for early maturing maize and millet and of > 70% for sorghum. Late maturing maize experienced higher crop water deficit than early maturing maize. The result also showed that significant yield reduction (36% reduction in late maturing maize at both Navrongo and Zuarungu) occurs if planting is done before May 21. Similarly, 25 and 23% yield losses, were observed in sorghum at Navrongo and Zuarungu, respectively. We therefore recommend (i) early maturing crop varieties, (ii) adjusting sowing dates based on seasonal climate information, and (iii) improving water management.

Powered by DB/Text WebPublisher, from Inmagic WebPublisher PRO