Download - Role of farmer producer organization (fpo)
Role of Farmer Producer Organization (FPO) in Promotion of Inland Fishery
Role of Farmer Producer Organizations (FPOs) in Promotion of Inland FisheryPresented By.Mr. Mangesh M. Bhosale(M.F.Sc., Fisheries)
Overview of Inland Fishery
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World annual average per capita consumption of fish and fishery products(kg/capita)11.512.516.71970s1980s200614.51990s16.7?2030
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Annual average per capita consumption of fish and fishery products of India(kg/capita)11.212.514.51995s1999s2002s13.72000s14.5?2030
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110.5 million tonnes of fish destined for human consumption, making an average annual global per capita consumption of 16.7 kg.
In 2030, world population is expected to reach 8.32 billion. Whereas Indias population will be 1.25 billion.
If per capita consumption to be maintained, we will require 40% more fish food.
Production from capture fisheries have been levelled off since late 80s.
Therefore, additional 40% fish food will have to come from aquaculture!
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Million tonnes
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Fish Production in India(1950-2006)
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Aquaculture Production
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Aquaculture Production India
Declining Growth Rate of Fish Production
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Increasing Role of Aquaculture in Fish Consumption
Inland Fishery Resources in IndiaStates/UTsTotal Inland Water Bodies (lakh Ha)Rivers & canals (km)Reservoirs (million ha)Ponds & Tanks(million ha)Flood Plain lakes/ derelict water bodies (million ha)Brackish water(million ha)
Total 35 state and UT73.591952102.9162.4070.7971.24
Fish Production in Last 7 YearsYear Inland Fish Production Marine Fish Production Inland (lakh tonnes)Growth rate (%)Marine (lakh tonnes)Growth rate (%)2006-0738.452.3730.247.392007-0842.079.4129.20-3.442008-0946.3810.2429.781.992009-1048.945.5231.044.232010-1149.811.7732.504.702011-1252.956.3033.753.852012-13 Provisional 56.326.3634.301.63
India contributed 5.43% share in global fish production for year 2009
Role of Farmer Producer Organization
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Problems Faced by Farmers in IndiaThe per acre income from the majority of crops and enterprises are continuously decreasing due to steep increase in cost of production.The problems faced by the farmers.Delay in dissemination of technology and obtaining feedback Non availability of technology and untimely supply of inputsNon availability of labour and costly wagesMarket issues e.g. price variationExploitation by middlemenClimate change
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There are many opportunities, but challenges, for the small-scale aquaculture farmer!
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Small-scale aquaculture farmers characterized by:Small land areasOften use family laborFamily scale operations/businessesOften based on family land (of declining area)Vulnerability
They are:>80% aquaculture farmersMajor contributors to food productionMajor contributors to global farmed fish supplyHighly innovative sectorImportant for rural development, communities, employment, poverty reduction and environmental sustainability
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Why to organize famers into groups in IndiaAgriculture is the largest unorganized sector in India
60% of people depends upon agriculture
Hardly 5-10% farmers are progressive, educated, self moving and innovative
>40% rural youth is out of Farming
Farmers dont have any vibrant model to organize themselves and link with market.
Farmer Producer Organization2014 is being observed as the Year of Farmer Producer Organizations (FPO) by Government of India.The initiative taken by the Department of Agriculture and Cooperation of the Ministry of Agriculture to mainstream the idea of promoting and strengthening member-based institutions of farmers.As per the concept, Farmers, who are the producers of agricultural products, can form groups and register themselves under the Indian Companies Act.As per the statistics of Small Farmers Agribusiness Consortium (SFAC), out of 302 registered FPOs in India, 34 firms are functioning in Madhya Pradesh, followed by Maharashtra with 32 and 22 in Rajasthan.The FOs provide an effective channel for dissemination of technology and feedback to research and extension.
Types of Farmer Producer Organizations (FPOs)According to Chamala and Mortis (1990), FPOs can be grouped into two types
Community based and resource oriented organizations
Commodity based and market oriented organizations
Cluster level managementManagement of crowded farming areas by collaboration among farmers and farmer groups:
Formation of local farmer clubsParticipatory approach to planning and decision makingCollaboration water and disease problemsCluster in Tanjavur, TNCluster in Kundapur, KACluster in Valsad, Gujarat
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Formation of farmer clubs - Aquaclubs led to a number of benefits
Weekly meetings
Stocking at same time
Co-operation In creating common facilitiesPromotion of BMPsImproved bargaining power and lower prices buying farm inputsCooperation in selecting and buying seeds at reduced cost and of improved qualityIncreased co-operation led to improvements in shared common facilitiesProvided a stronger basis for partnerships with government and business sector (suppliers, buyers)Farmer Producer Organization
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Elements of success:Participatory development and promotion of simple on farm better management practices - BMPsPond preparationSeed qualityWater qualityFeed managementHealth monitoring/BiosecurityDisease managementBetter Harvest and post-harvest PracticesRecord maintenance/Traceability Environmental awareness
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Win-win outcomes from improved management:Increased yield Reduced crop risksReduced cost of productionIncreased proportion of profit making farmsReduced environmental impactImproved cooperation
Increased profitability (Profit made on every 1000 Rs investment)(Source: MPEDA/NACA)
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Services provided by FPOsMarketing services (input supply, output marketing and market information)
Financial services (savings, loans and other forms of credit)
Technology services (education and extension)
Educational services (business skill, health)
Welfare services etc
Current attempts to organize farmers in IndiaATMA organize farmers into groups
Innovation in Technology Dissemination (ITD) and NATP evaluating success stories and replicating the models
NGOs organizing farmers groups
NABARDS organizing farmers into SHGs and FPO
SAU,s through KVKs
An example from IndiaMPEDA/NACA/FAO collaboration, started in 2000Shrimp Farming
Reduce production risks and improve shrimp farm productionBuild farmer and farmer oriented institutions Improve quality and market access for responsibly produced shrimp
Attempts to Organize Farmers
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Farming system - extensive farming systemAvg. Production: 250 kg/ha/cropAlternate cropping shrimp, rice, other cropsFarm areas < 2ha, and one-two ponds
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2003Village level extension1 Village1 Aquaclub 58 farmers108 ponds58 Ha22 tonnes2004Creek level extension6 Villages7 Aquaclubs 130 farmers254 ponds173 Ha40 tonnes2002Farm level demonstration5 farmers10 ponds7 Ha4 tonnes
2002
2001Survey365 pondsNellore n West God.Risk factorsBMPs2003
Contract hatchery Seed ProductionPilot trace-ability
Progress in last 8 years
2005APKAGU2005State level expansion3 States 19 Aquaclubs 736 farmers1187 ponds 663 Ha672 tonnesExpansion to other states
2004
2006
APKAORGUTNExpansion to 5 states20065 States 28 Aquaclubs 730 farmers1370 ponds 813 Ha870 t2007-2008National Centre for Sustainable Aquaculture100 societies2008-3000t?
NaCSA
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During 1970s, India has introduced Dairy Cooperative and it is successful.
60% of milk produced in the country sold through organized milk produced cooperatives.
Provides supplementary income to over 70% of rural and urban house holds.Dairy Cooperatives
Next steps
Building partnerships within country and with ethical markets in Europe.
Develop practical models for small-scale farmer group certification and share experiences widely
Partnerships between business connections
Build business case for investing in certification and market access for small-farmers
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Preliminary lessons
Facilitating organization of farming sector can achieve positive changeChange takes time.Considerations for market accessCosts and cost recoveryStandards, practicality and small-scale farmersTechnical, financial and market servicesSupply chains for farmerFarmer oriented institutionsInvestment is requiredGovernment and private investment needs to be oriented towards assisting the aquaculture farming sector.
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International market and trade for small-scale aquaculture sector:
Production costsBusiness structures of export-oriented aquaculture Risk management strategies of larger traders and buyers driving against small-scale farmersEasier for big buyers to deal with big farms with large product volumes!Small quantities of product inconvenient to larger buyersMarket access requirements and standards for certification, traceability and quality assurance
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Andhra Pradesh-49Bihar-03Chattisgarh-04Delhi-04Goa-02Gujarat-25Haryana-10Jammu-Kashmir-01Jharkhand-04Karnataka-13Madhya Pradesh-34
State wise FPOs - as on 10th Mar. 2014 Maharashtra-33Meghalaya-02Orissa-04Punjab-07Rajasthan-22Tamil Nadu-1Uttar Pradesh-33Uttarakhand-44West Bengal-07Total-302
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ReferencesC. Jaisaukar (2014). Farmer Producer Organization Yet to be Catch Up in India. The Hindu, July 8, 2014. PP. 2Chamala, S. (1990). Establishing a group. A participative action model: Australian Academic Press. PP. 13-38.GOI, 1999. 9th five year plan 1997-2002 vol. 1.NSSO: 2010OECD-FAO Agricultural Outlook 2011-2020.Population scenario 2030.Sharad Pawar (2010). Maharshtra lags in fish production. National Fish Festival, Mumbai, ET Bureau, Dec. 28, 2010.TNAU Agriportal. Economic Survey, 2007 and ICAR, 2006 and www.vuatkerala.org
Questions??
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THANK YOU
Chart119.0615352.078570.72892420.7211072.2129170.82230320.839042.5454810.9622922.5502052.7767991.09051123.7386162.9718351.21770325.3878892.9907941.20956425.5658912.9541021.56089226.1939022.928621.51923428.5512792.9493191.65182830.7645663.0655191.65540134.2023383.4165451.52440237.3364283.6191431.57865138.5715563.4247911.76170242.8561573.7463761.84726943.6177693.9632072.02065447.4508433.9836712.08393550.6332874.1363312.14449653.7840444.3311182.28192652.3314474.3902272.36125358.1769044.624372.56688257.9739364.8053572.73863853.7229424.8701332.95413354.1264745.0182933.08078557.3609924.9525733.25775956.8763294.9577163.617160.4037754.8270633.72943358.891334.9864354.12196561.1473184.8676194.20432361.5806544.8927384.34126862.1170855.0994474.70584164.1103825.3049065.24295765.8068595.3134095.6715265.4954985.5688396.22328870.9545725.7015786.94441472.626365.6086278.02179577.8003645.9235579.16384278.2750666.05729210.56546381.6417966.1578211.68165282.0591456.21119912.31499478.1991966.43500113.074177.3695216.25165413.72656978.9395186.20169715.40937579.9540186.58393317.80277185.3646686.71524120.83941785.0054297.28619924.38201686.3115567.46052626.59207186.6083347.63539828.60610879.5454478.06274330.48572185.1286688.53525633.37849686.8248488.84994235.47510384.1914178.82812937.95437884.5168648.71807840.39169581.5390068.95511342.67387885.65028.92036145.92183784.4890599.71255148.4896781.93063810.06368351.653329
Capture (marine waters)Capture (inland waters)Total aquacultureMillion tonnesWorld Fish Production (1951-2006)
Sheet119511952195319541955195619571958195919601961196219631964196519661967196819691970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006Capture (marine waters)19.120.720.822.623.725.425.626.228.630.834.237.338.642.943.647.550.653.852.358.258.053.754.157.456.960.458.961.161.662.164.165.865.571.072.677.878.381.682.178.277.478.980.085.485.086.386.679.585.186.884.284.581.585.784.581.9Capture (inland waters)2.12.22.52.83.03.03.02.92.93.13.43.63.43.74.04.04.14.34.44.64.84.95.05.05.04.85.04.94.95.15.35.35.65.75.65.96.16.26.26.46.36.26.66.77.37.57.68.18.58.88.88.79.08.99.710.1Total aquaculture0.70.81.01.11.21.21.61.51.71.71.51.61.81.82.02.12.12.32.42.62.73.03.13.33.63.74.14.24.34.75.25.76.26.98.09.210.611.712.313.113.715.417.820.824.426.628.630.533.435.538.040.442.745.948.551.7143
Sheet2
Sheet3
Chart12941873443903197364454743135065621083520376603353493127981873934968966023763399162343969231292509377894126026842401414690564543791574831480123146784952619614881495517841695809584130181848161084819934065811552210673603565231229465452624376956562912581788768883275698976350831668558899203390781896527360832193154540098891061523415799010084384399849108438051974261114529547862710918555622677115541461915931327054649131014710356742176154086975481621670028852124418001349553314194159610721257205268911908886208857413437887221244014265533232942714497669233431415944719236285318826453235281922100748252145025253557277526328420089304531630750215329875132542259357594635507530386061039139469405355141604222440414844150893455142447420458479896350384050504107254367372
Rest of WorldAsiaYearProduction quantity (tonne x 106)Global Aquaculture ProductionRest of World
Sheet1Country1950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004Africa2,3932,5743,2423,6894,2014,7665,0185,6266,3226,7746,9857,7837,9218,92710,1609,5039,3629,2459,3879,87410,27111,47012,73814,01414,16514,41016,72319,10221,44623,76826,20228,59632,19433,87836,88353,61156,05958,44270,60196,08982,47592,745101,05092,19395,318114,619136,838140,939191,515285,513408,064414,332463,376531,306570,113America, North64,58371,15681,39482,98890,212102,381101,64198,60193,299106,129107,496105,651113,181126,032127,194135,900117,594130,744134,739120,543173,162170,603179,470178,317174,260226,481191,669182,536169,481151,383183,179248,839282,836292,512351,870353,942410,823432,059416,663439,972401,307461,178514,882537,351528,510559,412567,302633,276654,014717,499711,176783,120834,464887,732955,178America, South404040505050607070708080911021141252351542042663314007101,2802,0532,9734,0186,0317,4009,48517,12623,36137,86850,01458,56259,05069,923103,932133,136153,061186,015256,806295,228286,363341,167408,716556,125660,223676,036648,060743,992973,0331,006,2851,045,0871,137,825Asia344,390445,474562,108660,335798,187896,602916,2341,292,5091,260,2681,469,0561,574,8311,467,8491,488,1491,695,8091,818,4811,993,4062,210,6732,312,2942,437,6952,581,7882,756,9893,166,8553,390,7813,608,3214,009,8894,157,9904,399,8495,197,4265,478,6275,622,6776,191,5936,491,3106,742,1767,548,1628,521,2449,553,31410,721,25711,908,88613,437,88714,265,53314,497,66915,944,71918,826,45322,100,74825,253,55728,420,08930,750,21532,542,25935,507,53039,139,46941,604,22244,150,89347,420,45850,384,05054,367,372Europe169,101194,926186,120221,330193,979226,549209,080232,486235,643258,641276,608296,849342,613351,233377,612395,530378,134381,752428,736447,708497,898488,035587,002585,616619,145673,021652,323726,983764,141736,881758,778828,708893,585920,251932,3621,018,4761,052,5861,078,6481,425,8941,480,1001,611,9181,450,9491,378,8051,363,0091,481,6141,593,0351,673,8231,751,6381,927,6092,073,7512,056,1832,097,1502,102,5622,203,8022,238,683Former USSR area54,07046,94038,31039,08054,87053,45054,04053,04034,86043,80054,71062,26053,99057,69061,35060,79066,73072,57072,16069,10078,80081,30096,700105,400108,900133,363130,606137,196139,984158,848157,905185,350209,120225,378270,454293,292323,501348,824-----------------Oceania4,0004,1004,4004,9006,0006,3006,5007,1007,7008,6008,5007,5008,4007,8007,7009,0009,1009,1009,3008,8008,42111,70013,30011,90013,02211,27513,09912,53212,07711,49012,22412,20015,43218,83619,89721,76328,70430,78442,28043,21847,71272,63672,88873,90374,84199,481111,228112,675126,772135,787134,136136,513144,737131,036139,273TOTAL638,577765,210875,6141,012,3721,147,4991,290,0981,292,5731,689,4321,638,1621,893,0702,029,2101,947,9722,014,3452,247,5932,402,6112,604,2542,791,8282,915,8593,092,2213,238,0793,525,8723,930,3634,280,7014,504,8484,941,4345,219,5135,408,2876,281,8066,593,1566,714,5327,347,0077,818,3648,213,2119,089,03110,191,27211,353,44812,662,85313,961,57515,526,46116,477,97316,827,09618,279,03321,189,30624,453,56727,775,00731,195,35233,795,53135,841,01039,083,47643,000,07945,657,77348,555,04151,971,88255,183,01359,408,444Asia344,390445,474562,108660,335798,187896,602916,2341,292,5091,260,2681,469,0561,574,8311,467,8491,488,1491,695,8091,818,4811,993,4062,210,6732,312,2942,437,6952,581,7882,756,9893,166,8553,390,7813,608,3214,009,8894,157,9904,399,8495,197,4265,478,6275,622,6776,191,5936,491,3106,742,1767,548,1628,521,2449,553,31410,721,25711,908,88613,437,88714,265,53314,497,66915,944,71918,826,45322,100,74825,253,55728,420,08930,750,21532,542,25935,507,53039,139,46941,604,22244,150,89347,420,45850,384,05054,367,372Rest of World294,187319,736313,506352,037349,312393,496376,339396,923377,894424,014454,379480,123526,196551,784584,130610,848581,155603,565654,526656,291768,883763,508889,920896,527931,5451,061,5231,008,4381,084,3801,114,5291,091,8551,155,4141,327,0541,471,0351,540,8691,670,0281,800,1341,941,5962,052,6892,088,5742,212,4402,329,4272,334,3142,362,8532,352,8192,521,4502,775,2633,045,3163,298,7513,575,9463,860,6104,053,5514,404,1484,551,4244,798,9635,041,072ASIA1950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004TOTAL344,390445,474562,108660,335798,187896,602916,2341,292,5091,260,2681,469,0561,574,8311,467,8491,488,1491,695,8091,818,4811,993,4062,210,6732,312,2942,437,6952,581,7882,756,9893,166,8553,390,7813,608,3214,009,8894,157,9904,399,8495,197,4265,478,6275,622,6776,191,5936,491,3106,742,1767,548,1628,521,2449,553,31410,721,25711,908,88613,437,88714,265,53314,497,66915,944,71918,826,45322,100,74825,253,55728,420,08930,750,21532,542,25935,507,53039,139,46941,604,22244,150,89347,420,45850,384,05054,367,372China75,961147,193196,329252,688367,311429,152406,551699,927675,360847,021870,506689,762653,121751,331876,2831,018,7401,144,7751,139,9111,130,2081,302,6491,294,1801,555,1981,708,2291,587,9841,720,9381,876,2311,841,3752,396,9532,544,8492,478,9852,660,2262,647,4232,872,6423,250,4083,830,0774,579,2595,248,1786,011,1036,995,4097,617,5627,952,6329,067,38811,315,49214,162,45317,097,92020,018,27322,208,49524,030,31327,071,94230,044,17732,444,21134,209,55136,576,34138,688,05941,329,608Rest of Asia268,429298,281365,779407,647430,876467,450509,683592,582584,908622,035704,325778,087835,028944,478942,198974,6661,065,8981,172,3831,307,4871,279,1391,462,8091,611,6571,682,5522,020,3372,288,9512,281,7592,558,4742,800,4732,933,7783,143,6923,531,3673,843,8873,869,5344,297,7544,691,1674,974,0555,473,0795,897,7836,442,4786,647,9716,545,0376,877,3317,510,9617,938,2958,155,6378,401,8168,541,7208,511,9468,435,5889,095,2929,160,0119,941,34210,844,11711,695,99113,037,764
Sheet100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
Rest of WorldAsiaYearProduction quantity (tonne x 106)Global aquaculture productionRest of World
Sheet200000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
Rest of AsiaChinaYearProduction quantity (tonne x 106)China vs Rest of Asia
Sheet3
Chart32684297596129828114719336577919632940764725268843087636731146745042915250968340655159258269992758490867536062203584702170432587050677808768976283502865312194447875133194219887628397466610187401065898114477511723831139911130748711302081279139130264914628091294180161165715551981682552170822920203371587984228895117209382281759187623125584741841375280047323969532933778254484931436922478985353136726602263843887264742338695342872642429775432504084691167383007749740554579259547307952481785897783601110364424786995409664797176175626545037795263268773319067388751096111315492793829514162453815563717097920840181620018273854172022208495851194624030313843558827071942909529230044177916001132444211994134234209551108441173657634111695991386880591303776441329608
Rest of AsiaChinaYearProduction quantity (tonne x 106)China vs Rest of Asia
Sheet1Country1950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004Africa2,3932,5743,2423,6894,2014,7665,0185,6266,3226,7746,9857,7837,9218,92710,1609,5039,3629,2459,3879,87410,27111,47012,73814,01414,16514,41016,72319,10221,44623,76826,20228,59632,19433,87836,88353,61156,05958,44270,60196,08982,47592,745101,05092,19395,318114,619136,838140,939191,515285,513408,064414,332463,376531,306570,113America, North64,58371,15681,39482,98890,212102,381101,64198,60193,299106,129107,496105,651113,181126,032127,194135,900117,594130,744134,739120,543173,162170,603179,470178,317174,260226,481191,669182,536169,481151,383183,179248,839282,836292,512351,870353,942410,823432,059416,663439,972401,307461,178514,882537,351528,510559,412567,302633,276654,014717,499711,176783,120834,464887,732955,178America, South404040505050607070708080911021141252351542042663314007101,2802,0532,9734,0186,0317,4009,48517,12623,36137,86850,01458,56259,05069,923103,932133,136153,061186,015256,806295,228286,363341,167408,716556,125660,223676,036648,060743,992973,0331,006,2851,045,0871,137,825Asia344,390445,474562,108660,335798,187896,602916,2341,292,5091,260,2681,469,0561,574,8311,467,8491,488,1491,695,8091,818,4811,993,4062,210,6732,312,2942,437,6952,581,7882,756,9893,166,8553,390,7813,608,3214,009,8894,157,9904,399,8495,197,4265,478,6275,622,6776,191,5936,491,3106,742,1767,548,1628,521,2449,553,31410,721,25711,908,88613,437,88714,265,53314,497,66915,944,71918,826,45322,100,74825,253,55728,420,08930,750,21532,542,25935,507,53039,139,46941,604,22244,150,89347,420,45850,384,05054,367,372Europe169,101194,926186,120221,330193,979226,549209,080232,486235,643258,641276,608296,849342,613351,233377,612395,530378,134381,752428,736447,708497,898488,035587,002585,616619,145673,021652,323726,983764,141736,881758,778828,708893,585920,251932,3621,018,4761,052,5861,078,6481,425,8941,480,1001,611,9181,450,9491,378,8051,363,0091,481,6141,593,0351,673,8231,751,6381,927,6092,073,7512,056,1832,097,1502,102,5622,203,8022,238,683Former USSR area54,07046,94038,31039,08054,87053,45054,04053,04034,86043,80054,71062,26053,99057,69061,35060,79066,73072,57072,16069,10078,80081,30096,700105,400108,900133,363130,606137,196139,984158,848157,905185,350209,120225,378270,454293,292323,501348,824-----------------Oceania4,0004,1004,4004,9006,0006,3006,5007,1007,7008,6008,5007,5008,4007,8007,7009,0009,1009,1009,3008,8008,42111,70013,30011,90013,02211,27513,09912,53212,07711,49012,22412,20015,43218,83619,89721,76328,70430,78442,28043,21847,71272,63672,88873,90374,84199,481111,228112,675126,772135,787134,136136,513144,737131,036139,273TOTAL638,577765,210875,6141,012,3721,147,4991,290,0981,292,5731,689,4321,638,1621,893,0702,029,2101,947,9722,014,3452,247,5932,402,6112,604,2542,791,8282,915,8593,092,2213,238,0793,525,8723,930,3634,280,7014,504,8484,941,4345,219,5135,408,2876,281,8066,593,1566,714,5327,347,0077,818,3648,213,2119,089,03110,191,27211,353,44812,662,85313,961,57515,526,46116,477,97316,827,09618,279,03321,189,30624,453,56727,775,00731,195,35233,795,53135,841,01039,083,47643,000,07945,657,77348,555,04151,971,88255,183,01359,408,444Asia344,390445,474562,108660,335798,187896,602916,2341,292,5091,260,2681,469,0561,574,8311,467,8491,488,1491,695,8091,818,4811,993,4062,210,6732,312,2942,437,6952,581,7882,756,9893,166,8553,390,7813,608,3214,009,8894,157,9904,399,8495,197,4265,478,6275,622,6776,191,5936,491,3106,742,1767,548,1628,521,2449,553,31410,721,25711,908,88613,437,88714,265,53314,497,66915,944,71918,826,45322,100,74825,253,55728,420,08930,750,21532,542,25935,507,53039,139,46941,604,22244,150,89347,420,45850,384,05054,367,372Rest of World294,187319,736313,506352,037349,312393,496376,339396,923377,894424,014454,379480,123526,196551,784584,130610,848581,155603,565654,526656,291768,883763,508889,920896,527931,5451,061,5231,008,4381,084,3801,114,5291,091,8551,155,4141,327,0541,471,0351,540,8691,670,0281,800,1341,941,5962,052,6892,088,5742,212,4402,329,4272,334,3142,362,8532,352,8192,521,4502,775,2633,045,3163,298,7513,575,9463,860,6104,053,5514,404,1484,551,4244,798,9635,041,072ASIA1950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004TOTAL344,390445,474562,108660,335798,187896,602916,2341,292,5091,260,2681,469,0561,574,8311,467,8491,488,1491,695,8091,818,4811,993,4062,210,6732,312,2942,437,6952,581,7882,756,9893,166,8553,390,7813,608,3214,009,8894,157,9904,399,8495,197,4265,478,6275,622,6776,191,5936,491,3106,742,1767,548,1628,521,2449,553,31410,721,25711,908,88613,437,88714,265,53314,497,66915,944,71918,826,45322,100,74825,253,55728,420,08930,750,21532,542,25935,507,53039,139,46941,604,22244,150,89347,420,45850,384,05054,367,372China75,961147,193196,329252,688367,311429,152406,551699,927675,360847,021870,506689,762653,121751,331876,2831,018,7401,144,7751,139,9111,130,2081,302,6491,294,1801,555,1981,708,2291,587,9841,720,9381,876,2311,841,3752,396,9532,544,8492,478,9852,660,2262,647,4232,872,6423,250,4083,830,0774,579,2595,248,1786,011,1036,995,4097,617,5627,952,6329,067,38811,315,49214,162,45317,097,92020,018,27322,208,49524,030,31327,071,94230,044,17732,444,21134,209,55136,576,34138,688,05941,329,608Rest of Asia268,429298,281365,779407,647430,876467,450509,683592,582584,908622,035704,325778,087835,028944,478942,198974,6661,065,8981,172,3831,307,4871,279,1391,462,8091,611,6571,682,5522,020,3372,288,9512,281,7592,558,4742,800,4732,933,7783,143,6923,531,3673,843,8873,869,5344,297,7544,691,1674,974,0555,473,0795,897,7836,442,4786,647,9716,545,0376,877,3317,510,9617,938,2958,155,6378,401,8168,541,7208,511,9468,435,5889,095,2929,160,0119,941,34210,844,11711,695,99113,037,764
Sheet1
Rest of WorldAsiaYearProduction quantity (tonne x 106)Global aquaculture productionRest of World
Sheet2
Rest of AsiaChinaYearProduction quantity (tonne x 106)China vs Rest of Asia
Sheet3
Chart13819991825668820.06296501073917479327386380.0424113466429541330.06700416434296335530807850.0669093834378732632577590.06924759524423673436171000.07558642014466476237294330.07706364374465132841219650.08451274764566654242043230.08430419244559233443412680.08694081394691820047058410.09115599844877055052429570.09706751684889694056715200.10393403084972148762232880.11123984325169712269444140.11842142065300318180217950.13145101445533656791638420.142074168956392108105654630.157793403256635702116816510.170990977957368248123160930.176741184957257564130750970.185903630254579422137275660.200968691554846186154093740.219333160356625564178027680.239193429757810057208394090.264965676960544896243820160.287094107561940770265920710.300363918163225999286060580.311504053563021793304873190.326035809262089752333809780.349646200561559848354774470.365606306362221717379551830.378881588560127527403888720.401813757860607336426821530.413228426459706739459242820.434761318859859560481497920.4457928051
CaptureAquacultureAQ sharemillion tonnesContribution to food-fish supply
Sheet11970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006Aquaculture2,566,8822,738,6382,954,1333,080,7853,257,7593,617,1003,729,4334,121,9654,204,3234,341,2684,705,8415,242,9575,671,5206,223,2886,944,4148,021,7959,163,84210,565,46311,681,65112,316,09313,075,09713,727,56615,409,37417,802,76820,839,40924,382,01626,592,07128,606,05830,487,31933,380,97835,477,44737,955,18340,388,87242,682,15345,924,28248,149,79250,000,000Capture38,199,91839,174,79341,134,66442,963,35543,787,32644,236,73444,664,76244,651,32845,666,54245,592,33446,918,20048,770,55048,896,94049,721,48751,697,12253,003,18155,336,56756,392,10856,635,70257,368,24857,257,56454,579,42254,846,18656,625,56457,810,05760,544,89661,940,77063,225,99963,021,79362,089,75261,559,84862,221,71760,127,52760,607,33659,706,73959,859,56091,000,000AQ share6.3%4.2%6.7%6.7%6.9%7.6%7.7%8.5%8.4%8.7%9.1%9.7%10.4%11.1%11.8%13.1%14.2%15.8%17.1%17.7%18.6%20.1%21.9%23.9%26.5%28.7%30.0%31.2%32.6%35.0%36.6%37.9%40.2%41.3%43.5%44.6%49.30%non-food24.60723.61217.46616.18118.53317.61020.56719.22620.34520.87920.29620.64322.22221.34324.96025.22028.37427.92431.14830.88227.35129.01930.28029.89234.24131.73631.79830.98524.55231.53434.05030.82433.07029.74734.65733.394Total capture62.80721962.78721958.60103759.14387962.3199461.84631165.23128263.87744566.01200166.4712967.21463169.41312171.11858971.06406576.65689378.22328583.71057384.31633287.78321888.25033484.60812883.59802485.12655286.51804392.05094192.28116893.73880194.21098987.57414393.62391295.60960793.04581593.19799490.35397294.36363593.253346Total aquaculture2.5668822.7386382.9541333.0807853.2577593.61713.7294334.1219654.2043234.3412684.7058415.2429575.671526.2232886.9444148.0217959.16384210.56546311.68165112.31609313.07509713.72756615.40937417.80276820.83940924.38201626.59207128.60605830.48731933.38097835.47744737.95518340.38887242.68215345.92428248.149792
Sheet1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
AquacultureCaptureAQ sharemillion tonnesProduction from Capture and Aquaculture 1970-2005
Sheet2
Sheet3
Chart1125173716529794302896946591556164692114212171721764485189829827174568622521565151176274753336295997020370789410173406918673425841071096434239535122480203471119753596747431192670301426143561236452522009377519131406029380313158333275944124416038433101594842466644231512320948328276319566821770731549518330724347791931896161069037193351461585835338137119143273935116587317901899635904165933897566343052012702591954592105420846700441315953570098137780218886861074131587333466644842357481440549197824112589006670615276717530899915689752262671150004571558762194586429692178007925999231820546805263718863878731122064554294923521181698467838062498813970823217913296186246183388048789013198202766271413036032692710865911347942241888012932901215370871829872429951791040431798025773166334382318132709851111697110548661044380735345663917475338327313371031163067211055264394467144131173462004161676612981757117097174143024437771835952821849179124388341195523347447654384811373310928157831391730312412041519732945916503735554324177014638723127385925632392474728939047993524224
OmnivoresMolluscsCarnivoresPlankton FeedersHerbivoresCrustaceaYearTonsAquaculture Production
four yearsSpecies1980199020002005Omnivore1,251,7373,897,56611,054,86614,638,723Extractive1,652,9793,430,52010,443,80712,738,592Carnivore430,2891,270,2593,534,5665,632,392Plankton694,6591,954,5923,917,4754,747,289Herbivore155,6161,054,2083,383,2733,904,799Crustaceans46,921467,0041,337,1033,524,224TOTAL4,232,20112,074,14933,671,09045,186,019
four years
OmnivoreExtractiveCarnivorePlanktonHerbivoreCrustaceans
all years stackedSpecies19801981198219831984198519861987198819891990199119921993199419951996199719981999200020012002200320042005Omnivores1,251,7371,421,2171,565,1511,734,0692,034,7112,364,5252,759,4413,209,4833,477,9193,711,9143,897,5664,131,5954,666,4485,276,7176,219,4587,188,6388,062,4988,901,3199,422,41810,404,31711,054,86611,630,67212,981,75712,438,83413,917,30314,638,723Molluscs1,652,9791,721,7641,762,7471,867,3421,975,3592,200,9372,441,6032,827,6313,189,6163,273,9353,430,5203,570,0984,235,7485,308,9996,429,6927,873,1128,139,7088,202,7668,801,2939,802,57710,443,80711,055,26411,709,71711,955,23312,412,04112,738,592Carnivores430,289485,189533,362584,107674,743751,913843,310956,6821,069,0371,165,8731,270,2591,377,8021,440,5491,568,9751,780,0792,064,5542,321,7912,714,1302,901,2153,166,3343,534,5663,944,6714,143,0244,744,7655,197,3295,632,392Plankton Feeders694,659829,827959,9701,096,4341,192,6701,406,0291,594,8421,770,7311,933,5141,790,1891,954,5921,888,6861,978,2412,262,6712,599,9232,949,2353,296,1863,603,2693,708,7183,823,1813,917,4754,413,1174,377,7184,384,8114,591,6504,747,289Herbivores155,616174,568203,707239,535301,426380,313466,644549,518615,858963,5901,054,2081,074,1311,258,9001,500,0451,820,5462,118,1692,461,8332,710,8652,987,2423,270,9853,383,2733,462,0043,595,2823,733,1093,735,5543,904,799Crustacea46,92162,25289,410122,480143,561158,333231,512330,724353,381416,593467,004587,333667,061715,587805,263846,783880,487911,347995,1791,111,6971,337,1031,616,7661,849,1792,815,7833,241,7703,524,224TOTAL4,232,2014,694,8175,114,3475,643,9676,322,4707,262,0508,337,3529,644,76910,639,32511,322,09412,074,14912,629,64514,246,94716,632,99419,654,96123,040,49125,162,50327,043,69628,816,06531,579,09133,671,09036,122,49438,656,67740,072,53543,095,64745,186,019
all years stacked
OmnivoresMolluscsCarnivoresPlankton FeedersHerbivoresCrustaceaYearTonsAquaculture Production
all years percentageSpecies19801981198219831984198519861987198819891990199119921993199419951996199719981999200020012002200320042005Omnivore1,251,7371,421,2171,565,1511,734,0692,034,7112,364,5252,759,4413,209,4833,477,9193,711,9143,897,5664,131,5954,666,4485,276,7176,219,4587,188,6388,062,4988,901,3199,422,41810,404,31711,054,86611,630,67212,981,75712,438,83413,917,30314,638,723Extractive1,652,9791,721,7641,762,7471,867,3421,975,3592,200,9372,441,6032,827,6313,189,6163,273,9353,430,5203,570,0984,235,7485,308,9996,429,6927,873,1128,139,7088,202,7668,801,2939,802,57710,443,80711,055,26411,709,71711,955,23312,412,04112,738,592Carnivore430,289485,189533,362584,107674,743751,913843,310956,6821,069,0371,165,8731,270,2591,377,8021,440,5491,568,9751,780,0792,064,5542,321,7912,714,1302,901,2153,166,3343,534,5663,944,6714,143,0244,744,7655,197,3295,632,392Plankton694,659829,827959,9701,096,4341,192,6701,406,0291,594,8421,770,7311,933,5141,790,1891,954,5921,888,6861,978,2412,262,6712,599,9232,949,2353,296,1863,603,2693,708,7183,823,1813,917,4754,413,1174,377,7184,384,8114,591,6504,747,289Herbivore155,616174,568203,707239,535301,426380,313466,644549,518615,858963,5901,054,2081,074,1311,258,9001,500,0451,820,5462,118,1692,461,8332,710,8652,987,2423,270,9853,383,2733,462,0043,595,2823,733,1093,735,5543,904,799Crustac.46,92162,25289,410122,480143,561158,333231,512330,724353,381416,593467,004587,333667,061715,587805,263846,783880,487911,347995,1791,111,6971,337,1031,616,7661,849,1792,815,7833,241,7703,524,224TOTAL4,232,2014,694,8175,114,3475,643,9676,322,4707,262,0508,337,3529,644,76910,639,32511,322,09412,074,14912,629,64514,246,94716,632,99419,654,96123,040,49125,162,50327,043,69628,816,06531,579,09133,671,09036,122,49438,656,67740,072,53543,095,64745,186,019
all years percentage125173716529794302896946591556164692114212171721764485189829827174568622521565151176274753336295997020370789410173406918673425841071096434239535122480203471119753596747431192670301426143561236452522009377519131406029380313158333275944124416038433101594842466644231512320948328276319566821770731549518330724347791931896161069037193351461585835338137119143273935116587317901899635904165933897566343052012702591954592105420846700441315953570098137780218886861074131587333466644842357481440549197824112589006670615276717530899915689752262671150004571558762194586429692178007925999231820546805263718863878731122064554294923521181698467838062498813970823217913296186246183388048789013198202766271413036032692710865911347942241888012932901215370871829872429951791040431798025773166334382318132709851111697110548661044380735345663917475338327313371031163067211055264394467144131173462004161676612981757117097174143024437771835952821849179124388341195523347447654384811373310928157831391730312412041519732945916503735554324177014638723127385925632392474728939047993524224
OmnivoreExtractiveCarnivorePlanktonHerbivoreCrustac.
Chart122.015915119418.739.95895056229.827.666.6819.4115.5319876839
Fish as percentage of total animal protein intakeContribution of fish to human diet (2003)
graph to import22.015915119418.739.95895056229.827.666.6819.4115.5319876839
Fish as percentage of total animal protein intakeContribution of fish to human diet (2003)
data and graph2003YEARFISH/ANIMAL PROTEINSAsia2,2.0??Africa1,8.7??Europe1,0.0??Oceania9.8??North and Central America7.7??South America6.7??LIFDC's1,9.4??WORLD1,5.5??
data and graph00000000
Fish as percentage of total animal protein intakeContribution of fish to human diet (2003)
Sheet1 (2)2003YEARFISH/ANIMAL PROTEINSAsia2,2.0??Africa1,8.7??Europe1,0.0??Oceania9.8??North and Central America7.7??South America6.7??LIFDC's1,9.4??WORLD1,5.5??