Vergara - 1976 - Physiological and morphological adaptability of ri

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CIJMATTZ AND CROP PROI)LI(TI"IVI'I'Y IN AUSTRALIA 50L we need to subdivide the system into components which are known to control the performance of the system. At the most general level. for example. we might envisage a crop production system as having the components shown in Figure 2. Any comprehensive model of a crop-production system should include the harvesting. processing, and marketing-consumption components because of very important feedback mechanisms. Of course, component processes and IIOLOGlCAI. PRODUCTION TECHNOLOGY: ENERGY INPUTS MATERIAL INPUTS MANAGEMENT STRATEGIES GENETIC MANIPULATION ll i PHYSTCAL ENVIRONMENT stonc envmomeur ENERGY WATER CKRBQN MINERAL NUTRTENTS ll PESTS DISEASES PARASITES COMPETLTOQS osnorvrs: PROGRAMMES! FULES FOR GFTOWTH AND DEVELOPMENT TOTAL BIOLOGICAL YIELD I l ECONOMIC YIELD HARVESTING l ' SYSTEM LOSSES SOIL HARVESTED YIELD wAfig l 1 | NUTRIENTS PROCESSING l i I PROCESSED PRODUCTl5! HARVEST LOSSES __l MARKETING mo l CONSUMPTION i CON SUMED PRODUCT [S] l PROCESSLNG L s 2. Schematic presentation of major components of a crop production system.
502 CLIMATE AND RICE subsystems can be studied independently (and usually are) and modelled separately before incorporation into the total working system. Despite intensive research on separate system components and processes (and perhaps because of it), our understanding of crop production systems as a functioning whole is very limited. 1f we are to mobilize existing knowledge and organize research strategies such that the most important gaps in that knowledge are filled quickly: we need to devote at least as much energy to whole-system research as is presently given to single-discipline and process-oriented research. MODELLING CROP PRODUCTION SYSTEMS As yet, very few comprehensive models of crop production systems have been developed. Stapletons (1968) model of a cotton production system is an early example, but such models really‘ remain a challenge for the future. Despite this lack. there exist a great many partial models of important sy-‘stem components and processes such as photosynthesis (e.g. Monsi and Saeki, 1953; de Wit, 1965; Duncan et a1. 1967) and the water-balance (eg. Holmes and Robertson. 195‘); Slatyer, 1960". Shaw, 1964; Baier and Robertson. 1966; Fitzpatrick and Nix‘. 1969). Many such partial models have proved useful in generating new insights and in prediction. because single environmental factors (eg. light, temperature. water) commonly dominate crop performance at a given location. Because the water-regime tends to dominate crop performance in Australian agriculture. great emphasis has been placed on the development of water-balance models for agroclimatie analysis. These generalized water-balance models (e.g. Slatyer. 1960) are primarily concerned with simulation of soil-vl-"ater regime in specified crop or pasture systems and normally operate over daily or weekly intervals. 1n many crop systems it is necessary to simulate soil-water regime through complete cropping sequences or rotations, as the preceding crop, pasture or bare fallow influences the carry-over of soil-water to the succeeding crop. Such a model was. developed for alternating fallowerop systems in central Queensland. in the eastern agroecological region (Fitzpatrick and Nix. 1969). The output from this fallout-crop model was used to calculate various measures of crop water-stress at different phases of development and these were correlated with grain yields of grain-stirghum (summer-crop) and wheat (wintercrop). One of these indices accounted for 60-83% of yield variation at the experimental site and between 60 and 70% of wheat yield variation at five centers in the Queensland wheat belt (Nix and Fitzpatrick. 1969). Using long-term records of weekly' mean rainfall, fallout-crop sequences have been simulated and yield predictions made for other locations in the region which have not yet been developed for agriculture. The relatively" simple fallow-crop water balance functions have been developed further and now form the core of a model (CROPEVAL) which is designed for rapid evaluation (if any postulated crop sjvstem. in any environment. at continental seale. The computer program CROPEVAL requires as input, weekly mean
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\ m 5-7’. _ ! i‘ -‘ I I ’
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Correct citation." Intemationa] Ric
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llulrmflnn gamma Mimi
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CLIMATIC STRESS ON GROWTH AND YIELD
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4 CLINIATE mo) RICE agricultural an
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6 cuivnvri-i AND RICE R. N. Morse.
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8 CLItvhYfE an) RICE ice of agricul
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infill! IHNIQI Chill
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12 (JLLNLXTE AND rues In saving thi
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14 (ZLIh-L-XTE ant: RICE essential
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l 6 CLIlvLJtTE AND RICE Groin yield
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l8 CLIMATE AND RICE MANIPULATING LI
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20 (JLlMA'l‘E AND tour; Dcrkness
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22 CLIh-IATE AND RICE Photosynthesi
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24 cuivrxru AND rues temperature. l
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26 CLIh-IATE AND RICE REFERENCES BA
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Climatic environment 0f rice cultiv
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GEOGRAPHY mo) curt-tars OF RICE 31
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Gsooawm" .~'t.\1D CLIMATE or ates 3
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GEOGRAPHY AND CLINIATT-I OF RICE 35
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GEOGRJIPHH’ AND (jLlh-DYTE OF RIC
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GEOGRAPHY AND CLINIATE OF RICE 39 c
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oration-win‘ AND (ILIAIATE or RIC
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GEOGR.~'\PH\’ AND CLIlylATE OF RI
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GEOGRAPHY AND CLIMATE or RICE 45 No
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CIEOGRAPHY‘ AND (ILIh-LATE or RIC
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GEOGKAPIIH’ mo) CLIMATE OF RICE 4
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CROP PLANNING AND ILAINFALL 5i Clim
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(tRoP PLANNING mo RAINFImL 53 is al
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cnor PLANNING AND RAisFaLi. 55 the
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(IROP PLANNING AND RAINFALL 57 Tabl
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CROP PLANNING into RAINFALL 59 valu
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REFERENCES CROP PLANNING AND IL-XIN
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CROP PLANNING AND RAINFALL 63 the c
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PI-IY'SI(JL(')F1ICAL AND .\I(‘)RP
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PHYSIOLOGICAL AND NIORPIIOLOGICAL A
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l‘HYSl0L(_)(il(fi'\L AND .\IURPH(
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PHYSlOLt')GItT.=\I. AND l\tlORPHt')
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PHYSIOLOGICAL AND MORPHOLOGICA]. AD
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PH‘t'SIOLOGI(,‘.+-\L AND tvltiR
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PHYSIOLOGICAL non) MORPHOLOGICAI. A
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PHYSIOLOGICAL AND NIORPI-IOIJJGKTAL
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PHYSIOLOGICAL AND IMIORPHOLIJGILTAL
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PHYSIOLOGICAL AND IVIORPHOLOGILTAL
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(jtENETItT \’.-’\RI(_)L.'SNESS
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GENTETTIZT \".=\RIOLTS.\IFSS IN CLI
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GENETIC \"'.-\RI(,)l.'SI\'ESS IN t,
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GENETIC \';—\RIOLTS?\TESS IN FLIN
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GEYETIC INFORIv-LATTON ON CLIMATIC
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GENETIC VARIOUSNESS IN CLIMATTC ADA
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GENETIC VARIOIISNESS 1N ("LINIATTF
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GENETIC \';-\RIOL='S1\'lESS IN CLIM
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GENETIC‘ VARIOUSNESS IN (“LINIA
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GENETIC WXRIOLTSNESS IN cut-taut: A
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GENETIC \".=\R101.IS1\'ESS nv (ILIN
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GENETIC VstRlOLlSNESS IN CLIAIAIIC
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GENETIC VZARIOLISNESS m ClJlytNflC
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llmmwminh Quinlan mum
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116 CLIMATE AND RICE about the micr
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l l8 curt-ran; AND RICE xtinctm ooe
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i ~ I20 cLniATF. AND RIFF. [ml (g h
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122 cusiixrs mo RICE Albedo and rad
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124 cLuxiAnz AND RICE Relative reig
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126 curt-tyre AND RICE tribution. I
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I28 (‘LIMATE AND RICE 0d 56,855 .
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130 CLIAiL-YFE AND RICE temperature
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132 euixixna ma) RICE 0.19 for a ri
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134 Curt-tan; AND RICE solar elevat
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136 CLlk-LATE AND RICE REFERENCES C
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138 CLIMATE AND RICE UDAGAiwA, T..
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140 CLIMATE AND RICE estimated by t
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142 (rut-tars mo arcs closely relat
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I44 CLINIATE am Rica we assume that
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146 CLlxL-Yfl-L AND RILTE DUPLICATI
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14S cumara mo RICE lamp type was su
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150 curtmrs AND RICE Table 5. Influ
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152 (tuners AND RICE amount of dama
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154 culture ANT) RICE enviromnent a
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Environmental control 0f growth and
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160 CLIh-LATE AND RICE The effect o
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162 curt-LATE AND RICE Temperature
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164 curt-tare are) RICE (20°C) at
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166 cunt-ms AND RICE mersion at 25
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168 CLINLATE AND RICE Top growth To
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170 cur-airs ANT) RICE and dropped
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172 CLINIATE AND RICE Dividing cell
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174 CLIIMIATE AND RICE Rate of stre
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176 rim-tam AND RICE 60°—62°C.
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178 culture AND RICE REFERENCES ADA
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180 CLIMATE AND RICE LEE. H. S.. an
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182 CLINIATE AND RICE SAKAI. K. 194
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184 (TLlb-LYIE AND rucs DISCUSSION
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llulrmflnn gamma Mimi
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188 CLIMATE AND RICE reactions othe
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190 crux-tars AND RICE SD 0t temper
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192 CLIlvlNfE AND RICE where '1‘
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194 trusarns imp RICE Spikeiets [no
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196 ems-tars AND RICE of tillers ha
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198 CLIh-LATE AND RICE Both of thes
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200 truatars AND RICE Ripemnq erode
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202 crux-tars AND RICE At such low
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204 CLIMATE AND RICE (l/Yflo‘? =
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206 tiLIMATE AND RICE Equations (T)
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208 cits-ems awn RICE DISCUSSION TA
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210 CLIh-LATE AND RICE hlANtJEL: So
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212 curt-tars AND RICE EFFECTS 0F C
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214 CLIMATE min RICE cOzlpnmt 35o 3
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2 l6 CLINIATE ANT) RICE may in part
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218 CLINIATE AND RICE could largely
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220 cuixiirrs AND RICE DISCUSSION T
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223 Climatic influence on photosynt
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CLIMATIC INFLUENCE ON PHOTOSYNTTLES
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(_'[.l\l.A'l'IC INFLUENCE ON PHOTOS
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CLINIATIC mrurswca on Pnorosiwn. IE
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CIJh-LATIC‘ [XTFTIFENCE ON PHOTOS
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LTLIMAHC INFLUENCE ON PHOTOSYbTfHES
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curt-write INFLUENCE cs PHtJTOSYNTH
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237 CLTNIATTC INFLUENCE ON PHOTOSYN
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CLIhLATTC INFLUENCE OY PIIOTOSYNTHE
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cunmrs INFLUENCE ON PHOTOSYNTHESIS
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CIJMATTC HNTLUENCE ON PHOTOSYhTl-IE
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CLINIATIC INFLUENCE ON PHOTOSYNTI-I
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CLllvL-YTIC INFLUENCE ON Pl-lO'l‘
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249 Temperature and the chemical ki
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TENIPERATTIRE AND truss-nest. Kinet
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TEh-IPERi-KTITRE AND CHENHCAI. KINE
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TEMPERATURE AND CIIENHCAL KINETICS
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TEkIPEILATLRE AND CIIENHCAL KINETIC
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l l TEMPERATIIRE awn FHENfltX-U. KI
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TENIPERATLIRE ANT) CI-IENIICAL KINE
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TENIPERATLTRE AND CHEMICAL KINETICS
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266 (TLIINL-KTE two RICE _“ _'“
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268 ciriyrprna AND RICE the oxytgen
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270 FLINIATE AND RIPE Table 2. Effe
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272 CLltx-MTE AIMTD RICE Percent |2
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2'14 CLIMATE AND RICE Table 3. Reco
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276 (Tl.l.\t.»\"l1~‘. AND RICE I
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llnlznclvlzll wuzlnnnll-ul
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un-Iuuuzvtng-uml:usll
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282 CLIMATE AND RICE Brown rice yie
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284 CLIh-IATE AND RICE Susceptible
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286 cusutrs AhD RICE tillers were s
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288 CLIINIATE mo RICE Hoyuyuhi lNtl
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290 CLIh-IATE AND RICE us to make a
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292 curtrars AND RICE postulated th
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294 cummia am) RICE Cooling treatme
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296 eta-ctr]; AND RICE Isntztnza.
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298 (fLllt-iitTE AND RICE TORIYAMA.
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300 curaaTF. AND RICE and the toler
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302 CLllt-IATE AND RICE the low-lyi
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304 cuxmn: AND RICE Water depth ter
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306 (tux-tats AND RICE Fertilizer i
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308 CLINIATE AND RICE of the plant
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3 l0 CLIMATE ANT) RICE The floating
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312 cuxranz AND RICE Branching does
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314 culture AND RICE variety would
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316 CLIMATE AND RICE [in Japanese,
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318 CLIMATE AND RICE by adventitiou
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LhflklfllillrxfiibMill
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322 cLnuArE AND RICE fied in the se
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324 CLIMATE AND RICE Photosynthesis
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326 CLIMATE AND RICE maize was grow
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328 CLIMATE AND RICE sunflower. It
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330 (fLlIvlATE am: RICE maze m“ (
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332 cLix-L-vra AND RICE and ‘wate
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334 CIIXIATE AND RICE IMPROVEMENT O
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336 cusmnz Ann RICE cell elongation
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338 CLINIATE AND RICE REFERENCES AC
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340 Cl.l.\t.-'\'l'E AND RICE DIS CL
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342 CLINLATE AND RICE ALLURI: Could
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""1133"lflhllll “IIIII
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UlljiflllijlllhfiHid
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348 crLnuATs AND RICE Experimental
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350 CLIMAtTE AND RICE constant.”
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352 CLINIATE AND RICE Scamens (1923
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354 CLIMATE AND RICE constant-facto
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356 criixinrs Aim RICE sider how th
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358 CLIMAJE AND RICE BIOCLINLNPIC I
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360 CLIh-IATE awn RICE faster rate.
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362 CLIIvLATE AND RICE REFERENCES A
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364 CLINIATE AND RICE —. 1959. Ef
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366 crumars AND RICE rliferrenger:
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368 (ILlh-IATE AND RICE Moreover. i
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370 curt-i-rra AND RICE caused tl1e
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372 CLIMATE Am) RICE Insects oftrop
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374 CLIMATE awn RICE Amaini. in the
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376 CLIMATE AND RICE former outbrea
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378 CLItvLATE AND RICE 1965. All bu
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380 CLlhiXfE AND RICE Future work I
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382 cuzxrars AND RICE Tsuruoka. 196
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384 crux-LATE AND RICJF. Wind direc
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386 CLIMATE AND RICE in June and Ju
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388 cur-ran: AND RICE JOHN. V. T..
Page 395 and 396:
390 CLINIATE AND RICE PRADHAN. S. 1
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unmmmmnq-um-u-u
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394 (‘LIA-LATE AND RICE in that y
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396 CLIMATE AND RICE 26 inches long
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398 crnxrara AND RICE the 0.001 lev
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400 ci.ixi.»\'r|-: AND Rjtfl-I Ano
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402 euxiivrs AND RICE ation periods
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404 CLIMATE AND RICE Disease onset
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406 ctnvrara AND RICE If subsequent
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408 (fLlN-LAII-i AND RICE Spores ob
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410 CLINLATE AND RICE 29.900/aere L
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412 CLIMATE AND RICE Synthesis of d
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414 CLINIATE ma) RICE REFERENCES HY
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mnnnmmmrumanumrd
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418 (TLIMATE AND RICfE: Lesimlrrwnl
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420 cuMATE AND RICE COHIGIO |5 [I03
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422 CLL\-IATE AND RICE less than l
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424 CLIMATE AND RICE under field co
Page 432 and 433:
Climate and crop productivity
Page 434 and 435:
429 Comparisons of rice growth in d
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RICE (iROWFH IN DIFFERENT EI\'\"IR(
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RICE oaowrn m DIFFERENT ENVIRONMENT
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RICE GROWTH l.\l DII~'FERE.\IT' ENV
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RICE GROWTH IN DIFFERENT Emotions-i
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RICE GROWTH IN DIFFERENT EBFVIRONNI
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RICE GROWTH IN DIFFERENT ENVIRONMEN
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RICE oaoyvnr n; DIFFERENT ENVIRONIN
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RICE cRowni as DIFFERENT Eminomunst
Page 452 and 453:
RICE GROWTH IN DIFFERENT ENVIRONNIE
Page 454 and 455:
449 Productivity of rice in differe
Page 456 and 457: RICE PRODIlCTH-TTY IN ("IAlh“i|AT
Page 458 and 459: RICE PRODUCTIVITY IN CLIMATIC REGIO
Page 460 and 461: RICE PR()[)t.t(’l‘I\"l'I‘Y IN
Page 462 and 463: RICE PRODUCTIVITY IN CLINIATIC REGI
Page 464 and 465: RICE PR()I>t.T(.'Tl\-"lT‘t' m tru
Page 466 and 467: RICE PRODUCTIVITY I.\I CLIMATIL" RE
Page 468 and 469: RICE PRODLYt“.TI\-"'ITY' IN ('3I.
Page 470 and 471: RICF. PRt)l')L.'(f‘l‘t\r'lTY 1N
Page 472 and 473: RICE PRODUCTIVITY IN (TLIINLATIC RE
Page 474 and 475: RICE PRODUCTIVITY IN CLIMATIC REGIO
Page 476 and 477: 471 Climatic influence on yield and
Page 478 and 479: ‘ITELI? AND YIELD (‘Ol\'[PONEN'
Page 480 and 481: YIELD AND ‘FIELD (‘(’J.\lPt'J
Page 482 and 483: Table. 2. YIELD AND ‘KIRLD (‘Tt
Page 484 and 485: ‘HELD AND YIELD (,7()l\-ll‘()l\
Page 486 and 487: YIELD AND YIELD COMPONENTS 0F LOVtL
Page 488 and 489: YIELD .-’\.\lD YlELD ("OMPONERWS
Page 490 and 491: YIELD AND YIELD COMPONENTS 0F LOWLA
Page 492 and 493: ‘ITELD AND YIELD COMPONENTS OF LO
Page 494 and 495: YIELD AND YIELD COMPONENTS OF LO\\"
Page 496 and 497: YIELD AND YIELD COMPONENTS OF LOVfL
Page 498 and 499: YIELD AND YIELD (.‘.(IJl\rfP()NEl
Page 500 and 501: 495 Climate and crop productivity i
Page 502 and 503: CLIMATE AND CROP PRODUCTIVITY IN AL
Page 504 and 505: CLlMikTl-i AND CROP PRODUCTTVYTX’
Page 508 and 509: cunt-yrs AND tutor PR()[)tJ(,"l‘l
Page 510 and 511: (TLIMATE AND CROP PRODLFCTR-‘YTY
Page 512 and 513: (tin-acre mo) can? PRODU(J'l'lV1'1
Page 514 and 515: 509 Nitrogen response of lowland an
Page 516 and 517: Gruinviefl (t/hal IO NITROGEN RESPO
Page 518 and 519: NITROGEN RESPONSE OF RICE IN 'l'R()
Page 520 and 521: NITROGEN RESPONSE or RICE IN TROPIC
Page 522 and 523: NITROGEN RESPONSE OF RICE IN 'I'ROP
Page 526 and 527: NITROGEN RESPONSE or RICE l.\‘ TR
Page 528 and 529: NITROGEN sssmnsr: 0F lure m raoiatr
Page 530 and 531: NITROGEN RESPONSE OF RICE IN TROPIC
Page 532 and 533: NITROGEN RESPONSE or RICE [N TROPIC
Page 534 and 535: NITROGEN RESPONSE OF Rltflrl 1N TRO
Page 536 and 537: NITROGEN RESPONSE or RIPE IN TROPKT
Page 540 and 541: xmzoonn RESPONSE or RICE I.\I TROPI
Page 546 and 547: CONCLUDING REMARKS 541 Their influe
Page 548 and 549: Ui#- b) List 0f Participants AHN. S
Page 550 and 551: tune); 545 Index Abnonnalities, cyt
Page 552 and 553: INDEX 547 fixation in photosynthesi
Page 554 and 555: INDEX 549 mean. and net production.
Page 556 and 557:
moex S51 Gene analysis, components
Page 558 and 559:
INDEX 553 water soluble. elTect of
Page 560 and 561:
INDEX 555 Millhr-QZ) variety, 521 h
Page 562 and 563:
INDEX 557 Photosynthesis and leaf a
Page 564 and 565:
INDEX 559 Reproductive cycles, cont
Page 566 and 567:
INDEX 561 Solar elevation and albed
Page 568 and 569:
INDEX 563 stetilitv (See Sterility}
Page 570:
INDEX 565 breeding. Mexico. 102 nit
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Vergara - 1976 - Physiological and morphological adaptability of ri

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