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GrainSite Year Code Group yield Sand Clay Silt pH(19xx) (t ha –1 ) (%) (%) (%)Faisabad, IND 97 FC 3.10 35 16 49 7Udorn, THA 95 TD 63 1.90 50 20 30 6Phimai, THA 95 TE 0.88 43 40 17 5Phimai, THA 97 TK 3.11 46 38 16 52.25Raipur, IND 94 IA 46 1.26 15 51 35 7Raipur, IND 97 II 3.44 12 36 52 72.35Rajshahi, BGD 94 BA 2.26 28 44 28 6Rajshahi, BGD 96 BC 3.11 28 40 32 6Faisabad, IND 95 FA 2.77 35 16 49 7Faisabad, IND 96 FB 2.75 35 16 49 7Jagdalpur, IND 96 IG 62 2.43 31 44 26 6Raipur, IND 97 IH 0.11 15 50 35 7Jagdalpur, IND 97 IK 2.63 31 44 26 6Ubon, THA 94 TA 1.60 74 6 20 4Ubon, THA 95 TB 2.26 74 6 20 4Chumphae, THA 95 TC 0.21 60 32 8 4Chumphae, THA 96 TG 1.48 45 32 22 6Sakon Nakhon, THA 96 TH 1.50 76 7 17 41.93Rajshahi, BGD 95 BB 2.03 24 36 40 6Rajshahi, BGD 97 BD 2.06 28 40 32 6Raipur, IND 95 ID 0.38 18 51 32 8Raipur, IND 96 IE 57 0.80 16 53 31 8Jakenan, IDN 96 OB 1.78 26 12 62 6Ubon, THA 96 TF 1.24 74 6 20 4Ubon, THA 97 TI 2.29 74 6 20 4Chumphae, THA 97 TJ 1.78 45 32 22 61.54Jakenan, IDN 96 OA 60 4.62 26 12 62 6Jakenan, IDN 97 OC 3.50 26 12 62 64.06Tarlac, PHL 94 PA 21 4.00 20 39 42 6Raipur, IND 95 IC 10 2.55 15 53 33 7Bilaspur, IND 97 IJ 16 2.51 15 53 32 7Raipur, IND 95 IB 1.74 30 35 35 7Guimba, PHL 95 PB 1.89 34 20 46 7Tarlac, PHL 95 PC 61 2.11 20 39 42 6Muñoz, PHL 95 PD 2.38 33 47 33 7Tarlac, PHL 96 PE 0.92 37 21 421.81Fig. 1. Dendrogram of environment groups from pattern analysis of mean polished yield data. IND= India, THA = Thailand, PHL = Philippines, BGD = Bangladesh, IDN = Indonesia. (Reprinted fromWade et al (1999), Field Crops Research 64:35-50, with permission from the publisher.)134 McLaren and Wade
Grain Plant Days to Filled 1,000–Designation Code Group yield height flowering grain grain(t ha –1 ) (cm) (%) weight (g)Sabita 03 2.08 127 111 70.3 28.9Sabita-A 3A 2.15 128 114 65.4 28.3Sabita-B 3B 2.12 128 113 65.0 28.8KDML105 04 82 1.76 122 111 62.7 24.7KDML105-A 4A 1.76 125 111 60.2 23.9KDML105-B 4B 1.77 124 112 60.1 23.5IR57546-PMI-1-B-2-2> 21 1.50 122 116 61.2 23.31.88 125 112 63.5 25.9NSG19 02 2.12 126 96 69.8 27.1NSG19-A 2A 52 2.25 128 96 66.7 27.0NSG19-B 2B 2.21 126 96 67.8 27.12.19 127 96 68.1 27.1IR58821-23-1-3-3 22 1.56 110 121 54.5 23.1IR66469-17-5-B 25 78 1.76 113 108 53.6 21.7IR66516-11-3-B 27 1.64 110 113 51.3 24.4IR66516-24-3-B 28 1.91 116 114 54.6 24.5IR66516-37-7-B 29 2.00 113 109 64.1 23.01.78 112 113 55.6 23.4Mahsuri 05 2.00 106 109 70.2 17.4Mahsuri-A 5A 2.19 109 110 69.1 16.8Mahsuri-B 5B 79 2.15 110 110 71.2 16.9IR66883-18-2-B 36 1.76 102 111 62.3 22.9IR66883-18-3-B 37 1.75 103 111 61.2 24.0IR66883-44-3-B 38 1.86 108 111 57.4 21.91.95 106 111 65.2 20.0IR52561-UBN-1-1-2 15 1.90 118 97 57.9 21.0IR54071-UBN-1-1-3-1> 16 2.26 106 101 59.1 24.6IR57515-PMI-8-1-1-S> 20 2.67 107 103 66.8 27.0IR66506-5-1-B 26 2.01 99 107 58.5 24.3IR66879-19-1-B 30 84 2.07 105 105 56.1 20.5IR66879-2-2-B 31 2.11 103 106 58.4 21.1IR66879-20-2-B 32 2.18 103 108 57.0 20.5IR66879-8-1-B 33 2.01 101 108 56.0 20.5IR66883-11-1-B 35 2.15 111 99 66.0 26.02.15 106 104 59.5 22.8IR20 01 2.03 85 102 64.7 19.8IR20-A 1A 81 2.04 86 104 63.9 19.5IR20-B 1B 2.02 86 104 63.9 18.9CT9993-5-10-1-M 11 1.34 91 95 59.0 22.0IR66893-5-2-B 39 2.05 104 107 62.7 25.6IR58307-210-1-2-3-3> 62 2.24 91 109 63.7 18.51.95 90 103 63.0 20.7IR54977-UBN-6-1-3-3> 17 2.26 94 99 62.8 28.1IR57514-PMI-5-B-1-2 19 2.33 101 107 70.0 24.8IR62266-42-6-1 23 76 2.26 92 98 64.5 22.4IR63429-23-1-3-3 24 2.37 110 96 69.9 24.9IR66882-4-4-B 34 2.29 102 100 63.6 21.72.30 100 100 66.2 24.4PSBRc 14 08 74 2.71 83 89 69.9 21.3IR64 09 2.58 85 89 73.8 24.1IR36 10 2.61 74 91 71.6 22.42.63 81 90 71.7 22.6CT9897-55-2-M-3-M 12 2.46 86 97 68.4 23.0IR64615H 40 85 2.39 92 98 59.3 23.5IR68877H 42 2.63 87 89 62.9 22.72.49 88 95 63.5 23.1Fig. 2. Dendrogram of genotype groups from pattern analysis of mean polished yield data. (Reprintedfrom Wade et al (1999), Field Crops Research 64:35-50, with permission from the publisher.)Using reference lines to classify multienvironment trials . . . 135
Page 2 and 3:
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
Page 38 and 39:
IRRI (International Rice Research I
Page 40 and 41:
Widawsky DA, O’Toole JC. 1990. Pr
Page 42 and 43:
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
Page 56 and 57:
The completeness of characterizatio
Page 58 and 59:
Table 7. Levels and scales for agro
Page 60 and 61:
Jamin JY, Andriesse W. 1993. Discus
Page 62 and 63:
Tools and methodologiesfor biophysi
Page 64 and 65:
Effect of climate, agrohydrology,an
Page 66 and 67:
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
Page 84 and 85: kg -1 in 50% of the topsoil and sub
Page 86 and 87: Table 3. Class medians were calcula
Page 88 and 89: Hard point dataClay, silt, sandHard
Page 90 and 91: A. Silt (%) B. 0.5 ccdfC. 0.2 ccdf
Page 92 and 93: In summary, the chosen geostatistic
Page 94 and 95: elated over slightly longer distanc
Page 96 and 97: Miura K. 1990. Genetic features of
Page 98 and 99: Rainfed lowland rice, growing with
Page 100 and 101: tively. In 1993, following dry till
Page 102 and 103: Rainfall (mm)Water table depth (cm)
Page 104 and 105: Saturated hydraulic conductivity (c
Page 106 and 107: in the uncompacted C0 plots (6.7 wk
Page 108 and 109: Clay classified≤ 2% 50 ha (2% but
Page 110 and 111: NotesAuthors’ addresses: D. Harnp
Page 112 and 113: target area of a breeding program.
Page 114 and 115: which is calculated from the estima
Page 116 and 117: hence grain yield. The three major
Page 118 and 119: ainfall data for each location. Mea
Page 120 and 121: such as 1980 and 1996, yield was hi
Page 122 and 123: Table 1 shows the results of the se
Page 124 and 125: Grain yield (t ha -1 )3UBN 19942103
Page 126 and 127: decreased with the use of old seedl
Page 128 and 129: The use of five genotypes with diff
Page 130 and 131: Mackill DJ, Coffman WR, Garrity DP.
Page 132 and 133: In rainfed agriculture, crop perfor
Page 136 and 137: Criteria considered for selecting r
Page 138 and 139: Table 1. Characteristics of the ref
Page 140 and 141: equired as the quality of the repro
Page 142 and 143: Cooper M, Rajatasereekul S, Immark
Page 144 and 145: 144 Amien and Las
Page 146 and 147: As Indonesia’s staple food, rice
Page 148 and 149: Soil and climate of rainfed lowland
Page 150 and 151: isky when the crop is planted late.
Page 152 and 153: The decrease in harvested area only
Page 154 and 155: than in tidal swamp rice, for which
Page 156 and 157: Monitoring rainfed and irrigated ri
Page 158 and 159: and, indirectly, methane emission f
Page 160 and 161: Radar backscatter (dB)-7ERS windsca
Page 162 and 163: ERS SAR imageseries2. RSpreprocessi
Page 164 and 165: Fig. 6. Supervised classification o
Page 166 and 167: ConclusionsMonitoring of rice crops
Page 168 and 169: Characterizing soil phosphorusand p
Page 170 and 171: Table 1. Area and distribution of s
Page 172 and 173: Table 2. Lowland area (ha) classifi
Page 174 and 175: Fig. 1. Extractable soil P map (25%
Page 176 and 177: Characterizing soil phosphorus and
Page 178 and 179: Table 4. Recommendations for P appl
Page 180 and 181: Fig. 4. Extractable soil K map of t
Page 182 and 183: Fig. 5. Extractable soil K map of t
Page 184 and 185:
● acidic pH (< 6)● low organic
Page 186 and 187:
trials, K recommendations for uplan
Page 188 and 189:
O’Brien DT, Blair G, Lefroy R. 19
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Planning and managing rice farmingt
Page 192 and 193:
lowlands is submergence-prone. Ther
Page 194 and 195:
situations and the allocation of re
Page 196 and 197:
estimation of drought were determin
Page 198 and 199:
Table 2. Effect of date of sowing,
Page 200 and 201:
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
Page 218 and 219:
Table 1. Characterization of rainfa
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in eastern Uttar Pradesh under norm
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fluctuations/variations in rainfall
Page 224 and 225:
the desirable rainfall period at 50
Page 226 and 227:
The radiation values range from les
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not affect the growth and developme
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Agrohydrologic and drought riskanal
Page 232 and 233:
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
Page 242 and 243:
Characterizing biotic stresses
Page 244 and 245:
Characterizing biotic constraintsto
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included in these studies. Later st
Page 248 and 249:
Average number of insects per sweep
Page 250 and 251:
Table 2. Categorization of weed and
Page 252 and 253:
Table 5. Properties of individual c
Page 254 and 255:
ResultsRelations among pests and cr
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Start hereInterview farmers todocum
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Table 10. Information used to prior
Page 260 and 261:
Interpreting the results of indepen
Page 262 and 263:
level. Again, we augment our databa
Page 264 and 265:
NotesAuthors’ address: Cambodia-I
Page 266 and 267:
in soil nutritional status, especia
Page 268 and 269:
flora. The range in elevation acros
Page 270 and 271:
Table 1. Soil characteristics of th
Page 272 and 273:
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-
Page 282 and 283:
ReferencesBangun P, Pane H, Jatmiko
Page 284 and 285:
Socioeconomic characterization
Page 286 and 287:
The role of characterizationin ex a
Page 288 and 289:
ApproachThe following steps were ta
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PriceDS 0S 1P 0P 1dS 0S 1acbD0 Q 0Q
Page 292 and 293:
Table 1. Ex ante assessment of rese
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Table 2 continued.Ranked byResearch
Page 296 and 297:
Table 3. Research resource allocati
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NotesAuthors’ address: National C
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In addition to the unavailability o
Page 302 and 303:
Socioeconomic constraintsFarm sizeF
Page 304 and 305:
found that a higher rural labor sup
Page 306 and 307:
Table 3. Rice area under HYVs from
Page 308 and 309:
Rice varieties in farmers’ fields
Page 310 and 311:
Table 9. Constraints for low adopti
Page 312 and 313:
vehicle for realizing the untapped
Page 314 and 315:
Parthasarathy G, Prasad DS. 1978. R
Page 316 and 317:
Appendix. Agroclimatic zones of Bih
Page 318 and 319:
such that losses are reduced during
Page 320 and 321:
P = 0.5 R [a 2 C r2+ 2 a (1 - a) g
Page 322 and 323:
and Itgaon, however, the plot-level
Page 324 and 325:
espectively, to farmers’ income.
Page 326 and 327:
Factors determining the adoption of
Page 328 and 329:
mining whether or not modern variet
Page 330 and 331:
irrigation schemes in the study are
Page 332 and 333:
Using gender analysis in characteri
Page 334 and 335:
lytical tool used to identify or di
Page 336 and 337:
However, household members have cer
Page 338 and 339:
Table 1. Village characteristics of
Page 340 and 341:
taking care of dairy cattle. On the
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
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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 384 and 385:
Economics of intensive rainfed lowl
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
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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
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were often burned for disease contr
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landless population reaching 50-60%
Page 432 and 433:
Integration of biophysical andsocio
Page 434 and 435:
opinion regarding what socioeconomi
Page 436 and 437:
1995-96 Rice production (t)TvRd6Rd1
Page 438 and 439:
Farm-gate price of agricultural goo
Page 440 and 441:
ming the distance of all line segme
Page 442 and 443:
Description of the study areaWe com
Page 444 and 445:
Table 1 continued.Variable Unit1994
Page 446 and 447:
CambodiaFig. 4. Main transport rout
Page 448 and 449:
Table 2. Accessibility indicators f
Page 450 and 451:
ice and the model is applied to exp
Page 452 and 453:
Table 3. Summary of estimates of la
Page 454 and 455:
estimation of a system of multinomi
Page 456 and 457:
The availability of low-saline irri
Page 458 and 459:
Table 5. Simulation of effects of i
Page 460 and 461:
NotesAuthors’ address: Social Sci
Page 462 and 463:
that they synthesize fragmented agr
Page 464 and 465:
Framework for exploratory and predi
Page 466 and 467:
and quantify the spatial distributi
Page 468 and 469:
Seventeen different agricultural pr
Page 470 and 471:
self-sufficiency in rice production
Page 472 and 473:
al warming since maintaining or cre
Page 474 and 475:
eturns to purchased inputs due to u
Page 476 and 477:
Francisco SR, Navarrete Jr. RL, Dim
Page 478:
Wade L. 1998. Nutrient research on
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