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Economics of intensive rainfed lowlandrice-based cropping systemsin northwest Luzon, PhilippinesM.P. Lucas, S. Pandey, R.A. Villano, D.R. Culannay, and T.F. MarcosFarming in the rainfed lowlands of Ilocos Norte, Philippines, is highly intensive,diversified, and commercialized. The cropping system is predominantlyrice-based in the wet season and high-value cash crops are grown during thedry season. The profitability of cash crop production has encouraged farmersto use high levels of purchased inputs such as chemical fertilizers andpesticides. Concerns are being raised about the long-run sustainability ofsuch intensive systems. This chapter assesses the sustainability of suchsystems using a total factor productivity analysis.The trend in total factor productivity was positive (1992-95) initially butthen became negative (1996-97). However, the total factor productivity estimatesfor six years do not show any clear negative trend. Groundwater pollution,particularly with NO 3-N, has occurred as a result of the excessive use offertilizers on dry-season crops. If the effect of this negative externality werealso captured in the total factor productivity estimates, the decline for recentyears could have been sharper. Although fluctuations in total factor productivitywithin the short period analyzed may be attributed mainly to climaticfactors, technological interventions for improving input-use efficiency arenevertheless needed to reduce both the input cost and the contamination ofgroundwater.Farming in the rainfed lowlands of northwest Luzon, Philippines, is highly intensive,diversified, and commercialized. As in other rainfed environments, weather conditionsare erratic with interspersed dry spells. The cropping system is predominantlyrice-based in the wet season (WS) from May to October and high-value crops aregrown during the dry season (DS) from November to April. Garlic (Allium sativumL.), maize (Zea mays L.), mungbean (Vigna radiata L. Wilczek), sweet pepper (Capsicumannum L. var. annum), and tomato (Lycopersicon esculentum L.) are amongthe most common DS crops grown after rice (Fig. 1). Some farmers maximize landuseintensity by growing two or three cash crops. These crops depend on irrigationwater from tube wells.Economics of intensive rainfed lowland rice-based cropping systems . . . 391
Rainfall (mm)600500400300200Crops planted afterOtherTobaccoOnionSweet pepperTomatoMungbeanMaize100RiceGarlic0May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr MayMonthFig. 1. Cropping calendar and average monthly rainfall in Ilocos Norte,Philippines. Source: MMSU-PAGASA-PCARRD Agromet Station,MMSU Batac, Ilocos Norte, 1976-98.The rainfed lowlands of Ilocos Norte demonstrate a case of high cropping intensityand input use and can serve as a model for other rainfed areas that are beingintensified. Farmers in Ilocos Norte use high levels of fertilizer and pesticides becauseof the economic benefits derived from high-value crops. These high-input intensivesystems, however, may be unsustainable in the long run. This chapter presentsan economic analysis of intensive rice-based production systems in Ilocos Norte, thenorthernmost province in the Philippines. The possible sustainability or unsustainabilityof the system is also addressed.The province of Ilocos Norte has a total land area of 362,000 ha, of which 25%is devoted to agriculture and forestry. There are 39,000 ha of rainfed areas, of which66% is rainfed lowlands. Agriculture and forestry directly employ 47% of the laborforce. In 1998, the province reached a sufficiency level of 256% for rice, 145% foryellow maize, 124% for root crops, 2,277% for garlic, 3,463% for onion, and 170%for mungbean. In 1998, rice area declined slightly due to natural calamities such as ElNiño and La Niña and two super typhoons that passed through the province. In spiteof these, however, the province still produced a surplus of rice. The cropping intensityincreased from 130% in 1995 to 151% in 1998. The cropping intensity is expectedto increase further to 180% by 2001. This increase is expected to be achievedmainly through irrigation development projects.Trends in area planted and yield of rice and nonrice cropsThe area planted to rainfed rice in Ilocos Norte decreased in the past three years (Fig.2), whereas the area planted to irrigated rice has generally increased. The decrease in392 Lucas et al
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The International Rice Research Ins
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Monitoring rainfed and irrigated ri
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ForewordRainfed rice areas are asso
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AcknowledgmentsIRRI is most gratefu
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2 Singh et al
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development, for example, provision
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subecosystems were recognized withi
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Table 3. Methods commonly used in e
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Table 4 continued.Scale of analysis
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Table 4 continued.Scale of analysis
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This included standard countrywide
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deepwater rice ecosystems. The rese
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Table 5 continued.Main MethodologyC
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Table 5 continued.Main MethodologyC
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Table 5 continued.Main Scale presen
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levels of involvement. For example,
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●●●ecosystem classifications
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Conclusionsclearly that they are di
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IRRI (International Rice Research I
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Widawsky DA, O’Toole JC. 1990. Pr
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Rice is the staple food crop for mo
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first working group to identify the
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TropicsSubtropicsTemperateSummer/wi
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ferred it for wide adoption by farm
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ing, remote sensing, and computing
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ice environments will be needed to
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Insects and diseasesInsects and dis
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The completeness of characterizatio
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Table 7. Levels and scales for agro
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Jamin JY, Andriesse W. 1993. Discus
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Tools and methodologiesfor biophysi
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Effect of climate, agrohydrology,an
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to water deficit because the crop
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for different periods of the year:
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depth scenarios (shallow, medium, a
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Water table depth (cm)500Shallow wa
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Simulated yield (kg ha -1 )6,0005,0
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Perception, understanding,and mappi
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and rice yield at regional or more
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SubareaSampling sites:GridTransectR
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was approximately 2,000 m with a to
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kg -1 in 50% of the topsoil and sub
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Table 3. Class medians were calcula
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Hard point dataClay, silt, sandHard
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A. Silt (%) B. 0.5 ccdfC. 0.2 ccdf
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In summary, the chosen geostatistic
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elated over slightly longer distanc
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Miura K. 1990. Genetic features of
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Rainfed lowland rice, growing with
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tively. In 1993, following dry till
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Rainfall (mm)Water table depth (cm)
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Saturated hydraulic conductivity (c
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in the uncompacted C0 plots (6.7 wk
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Clay classified≤ 2% 50 ha (2% but
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NotesAuthors’ addresses: D. Harnp
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target area of a breeding program.
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which is calculated from the estima
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hence grain yield. The three major
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ainfall data for each location. Mea
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such as 1980 and 1996, yield was hi
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Table 1 shows the results of the se
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Grain yield (t ha -1 )3UBN 19942103
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decreased with the use of old seedl
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The use of five genotypes with diff
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Mackill DJ, Coffman WR, Garrity DP.
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In rainfed agriculture, crop perfor
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GrainSite Year Code Group yield San
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Criteria considered for selecting r
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Table 1. Characteristics of the ref
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equired as the quality of the repro
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Cooper M, Rajatasereekul S, Immark
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144 Amien and Las
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As Indonesia’s staple food, rice
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Soil and climate of rainfed lowland
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isky when the crop is planted late.
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The decrease in harvested area only
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than in tidal swamp rice, for which
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Monitoring rainfed and irrigated ri
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and, indirectly, methane emission f
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Radar backscatter (dB)-7ERS windsca
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ERS SAR imageseries2. RSpreprocessi
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Fig. 6. Supervised classification o
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ConclusionsMonitoring of rice crops
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Characterizing soil phosphorusand p
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Table 1. Area and distribution of s
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Table 2. Lowland area (ha) classifi
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Fig. 1. Extractable soil P map (25%
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Characterizing soil phosphorus and
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Table 4. Recommendations for P appl
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Fig. 4. Extractable soil K map of t
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Fig. 5. Extractable soil K map of t
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● acidic pH (< 6)● low organic
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trials, K recommendations for uplan
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O’Brien DT, Blair G, Lefroy R. 19
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Planning and managing rice farmingt
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lowlands is submergence-prone. Ther
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situations and the allocation of re
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estimation of drought were determin
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Table 2. Effect of date of sowing,
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from October to February and a summ
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Table 3. Promising areas for ground
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1. There are possibilities of growi
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mmmm450350250150ASoil moisture useS
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Table 9. Yield a of preflood ahu (a
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Grain yield (t ha -1 )6Farmers’ l
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ReferencesIRRI (International Rice
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network (Sastry 1976). Temperature
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Temperature (°C) and solar radiati
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Table 1. Characterization of rainfa
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in eastern Uttar Pradesh under norm
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fluctuations/variations in rainfall
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the desirable rainfall period at 50
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The radiation values range from les
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not affect the growth and developme
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Agrohydrologic and drought riskanal
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Analytical procedureThe nature and
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late because of low rainfall at the
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Probability (%)10080604020Vegetativ
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15 August), which may happen twice
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texture), then once in two years (5
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Characterizing biotic stresses
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Characterizing biotic constraintsto
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included in these studies. Later st
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Average number of insects per sweep
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Table 2. Categorization of weed and
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Table 5. Properties of individual c
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ResultsRelations among pests and cr
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Start hereInterview farmers todocum
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Table 10. Information used to prior
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Interpreting the results of indepen
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level. Again, we augment our databa
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NotesAuthors’ address: Cambodia-I
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in soil nutritional status, especia
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flora. The range in elevation acros
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Table 1. Soil characteristics of th
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Table 3. Weed species recorded and
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Proportional abundance (log scale)%
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1.0Echi_colCype_iriMoll_penLind_spp
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+3.0Echi_cruMars_creEcli_albLept_ch
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indicates the need to deploy broad-
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ReferencesBangun P, Pane H, Jatmiko
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Socioeconomic characterization
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The role of characterizationin ex a
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ApproachThe following steps were ta
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PriceDS 0S 1P 0P 1dS 0S 1acbD0 Q 0Q
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Table 1. Ex ante assessment of rese
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Table 2 continued.Ranked byResearch
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Table 3. Research resource allocati
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NotesAuthors’ address: National C
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In addition to the unavailability o
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Socioeconomic constraintsFarm sizeF
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found that a higher rural labor sup
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Table 3. Rice area under HYVs from
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Rice varieties in farmers’ fields
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Table 9. Constraints for low adopti
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vehicle for realizing the untapped
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Parthasarathy G, Prasad DS. 1978. R
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Appendix. Agroclimatic zones of Bih
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such that losses are reduced during
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P = 0.5 R [a 2 C r2+ 2 a (1 - a) g
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and Itgaon, however, the plot-level
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espectively, to farmers’ income.
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Factors determining the adoption of
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mining whether or not modern variet
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irrigation schemes in the study are
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Using gender analysis in characteri
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Page 336 and 337: However, household members have cer
Page 338 and 339: Table 1. Village characteristics of
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Page 342 and 343: The biophysical environmentThe perf
Page 344 and 345: Table 3. Seasonal calendar and gend
Page 346 and 347: Table 4. Crops grown during the kha
Page 348 and 349: Table 7. Labor input (person-days h
Page 350 and 351: Table 8. Labor input (person-days h
Page 352 and 353: Table 10. Cost and returns of rice
Page 354 and 355: Gender roles in animal husbandryWhe
Page 356 and 357: farm activities, 25% in nonfarm act
Page 358 and 359: for rice but also for cash crops su
Page 360 and 361: Table 15. Access to agricultural in
Page 362 and 363: Hossain M. 1995. Recent development
Page 364 and 365: Agricultural commercializationand l
Page 366 and 367: Conceptual frameworkPopulation pres
Page 368 and 369: tional average of 18% 1 , and most
Page 370 and 371: The Dzao live in medium-altitude ar
Page 372 and 373: Table 1. Selected districts and com
Page 374 and 375: Table 2. General characteristics of
Page 376 and 377: markets for their food needs. With
Page 378 and 379: ther “extensification” in the u
Page 380 and 381: the productivity of lowland rice ca
Page 382 and 383: Boserup E. 1981. Population and tec
Page 386 and 387: Area (ha)50,00040,000Irrigated30,00
Page 388 and 389: The economic characterization and i
Page 390 and 391: Table 1. Rice varieties planted (19
Page 392 and 393: Table 4. Yield and input use of maj
Page 394 and 395: TFP, output and input indices200160
Page 396 and 397: Lynam JK, Herdt RW. 1989. Sense and
Page 398 and 399: 406 Garcia et al
Page 400 and 401: Increased rice production had alway
Page 402 and 403: Table 1. Total rice area, average y
Page 404 and 405: use of water by avoiding seedbed pr
Page 406 and 407: water often brought with it a varie
Page 408 and 409: Table 4. Distribution of farm house
Page 410 and 411: Soil types found in the villages we
Page 412 and 413: Table 10. Ownership of agricultural
Page 414 and 415: in a group) at the rate of $60 per
Page 416 and 417: Table 13. Pattern of loan use (% of
Page 418 and 419: Labor and employmentTable 16 presen
Page 420 and 421: Table 17. Incidence of child labor
Page 422 and 423: Cumulative proportion of income1.04
Page 424 and 425: Table 21. Cost and return analysis
Page 426 and 427: Table 22. Estimated rice yield and
Page 428 and 429: were often burned for disease contr
Page 430 and 431: landless population reaching 50-60%
Page 432 and 433: Integration of biophysical andsocio
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opinion regarding what socioeconomi
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1995-96 Rice production (t)TvRd6Rd1
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Farm-gate price of agricultural goo
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ming the distance of all line segme
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Description of the study areaWe com
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Table 1 continued.Variable Unit1994
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CambodiaFig. 4. Main transport rout
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Table 2. Accessibility indicators f
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ice and the model is applied to exp
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Table 3. Summary of estimates of la
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estimation of a system of multinomi
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The availability of low-saline irri
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Table 5. Simulation of effects of i
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NotesAuthors’ address: Social Sci
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that they synthesize fragmented agr
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Framework for exploratory and predi
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and quantify the spatial distributi
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Seventeen different agricultural pr
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self-sufficiency in rice production
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al warming since maintaining or cre
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eturns to purchased inputs due to u
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Francisco SR, Navarrete Jr. RL, Dim
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Wade L. 1998. Nutrient research on
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