PERTUMBUHAN DAN SINTASAN UDANG VANAMEI POLA TRADISIONAL PLUS DENGAN KEPADATAN BERBEDA
Abstract
The experiment was conducted in the Installation of Research Institute for Coastal Aquaculture in Maranak, Maros that was used 6 abandoned ponds of former intensive tiger prawn. The size of pond was 900 m2 respectively. The seed of vannamei was PL8 with 0.001 g/pieces in weight were stocked in different stocking densities, i.e. 4 pieces/m2 (A); 6 pieces/m2 (B); and 8 pieces/m2 (C), with two replicate, respectively. The aim of study was to know the optimum stocking density of vannamei that stocked in traditionally plus culture system. The results showed that 8 pieces/m2(C) in stocking density were found the highest of survival rate and the lowest of feed conversion ratio, i.e. 60.97% and 1.79, respectively. The statistical analysis result had significantly different to the one in 4 pieces/m2 (A) and 6 pieces/m2 (B) in stocking densities that had survival rate of 55.35% and 52.44% and feed conversion ration of 2.49 and 2.24 respectively. The highest production was found also in the 8 pieces/m2 of stocking density and it had significantly different the ones of 4 and 6 pieces/m2 in stocking densities. The water salinity was high in all treatments (40—47 ppt) and dissolved oxygen was optimum in all treatments (>3.42 mg/L). The best stocking density finally was 8 pieces/m2, however the dissolved oxygen was still above the optimum condition, so the relative stocking could be increased.
Keywords
Full Text:
PDFDOI: http://dx.doi.org/10.15578/jra.2.2.2007.149-156

Jurnal Riset Akuakultur is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
p-ISSN 1907-6754
e-ISSN 2502-6534
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAhYAAABeCAMAAABIDa3JAAACRlBMVEX///83NzY0NDMxMTAtLSwnJyYrKyohISAdHRzn5+clJSOIiIdDQ0LV1dX4+Pj19fVmZmWenp53d3cZGRjCwsJLS0q6urlhYWHv7+9VVVX//fizs7Pd3d2pqanIyMj4qwDvzAD7uAD1nQCQkI/gAUlHR0bjAAD0mAD9wwDq8Pf5rwDpzAD9xABtbWz8vAD3owDfAFgch8n+8vaDxp+XJoMGeL4AbbbfAU3eAGDmNQD0mQDwfADcAGwcQZTfAFHxhgDhAjZ8xa/qXQstoduxyAAAAADWzADsj6MqnNiIxpPrYgkfjc33ygASUZ9Gt+kAOJMZRJbDyQAPYaztbwWYxVjpTgDiAytpMIigI4JyxcZpxtfnQxDXAnX75uJrxdHkFBefxTdbwuhIM4qCLIWIn8eaxU2UxWyQxXv4sj743332t3774crxjj785+HjABz0sLDra03C3rbS2GH1qGz71Z/+9OHnSmH1ozv21k/95rn7ymm21Yr2u5/sdmSlxy37zYHL4av1usDwkIrxlXXpY3n267DypKHtfYTlLTr801Lp8uC+1m7nPyj3y8T83rDscDv0rZHv2l/t8cv1ua3k3nb4u2X935vwjV3V0z391Gve4o7b5qTi2l6z0GDrZ2X61730nkrxizXnQjPTqcjUwteVyeq63fKhDHzGfK51AHtjmstXbqqnsc9wjb6vjrmGVJm9EIDfk72zUZjPrMtTG4KfhrSUlL2GtdsAHoXpeabulbOv2svhVJS84+phws730uDqfZzOibYSxAsHAAAYtklEQVR4nO2d+YMUxdnHe/qc6bnvmZ3ZQRl2YdQRWFFYgUW5XFlhOVzwQHEVxOOFaHR9wSge8YgoUVHRaBLfRFnEI2KCgkay5j9763mq766aA/ZA7S8/MNPT1V3d9emnnuep6lpBCBQoUKBAgQIFChQoUKDLS41zlvYy9Z2tT+e6soFmSeeuR91www3bUZupthKtXr161NL9RGfPfjvX1Q00Kzp5/dKlS91gWGiYbAAd91MFXPwq1FiK6hSLXbvOVue6yoFmXp9bWJhU2EAQbfZSsWvX13Nd5UAzrsmlIyOIxWTDr2Rj7/bVNhZnKRanA7fzF6/hkRHKxYjvp8aXX4yupn3I6Oj58/d/+6nwLWDxwANzUM9As6mTQMXIMJoL1w+NL7eP0m4EoVj9XRy2/ussYHH6H3NS10CzpcQIsRZLJychGFlqb57cu32r6WCsHj2/eW/D+OHTs2AsHjg9MCe1DTRLOjc8PDwyTLoSMBfn6LbJz604ZPPW0dEvvmw4ClAsHvhsTmobaHbUGAYsSO/RwNxFQ2gAE2Y4QrqPr1xMEH2NVDwQeJ2/ZG0BLLbAp3OAxeefO4LUrZu/mkz4SvwDqVi2bNms1zXQbGlyeN264WG0B42ldqoToNi+d5JZ5NPTlIpTn8xqTQPNotYRDZ+kn0/aSa3t1+9t8IoMnEYqlt1xKvA6f6E6CViso58bw5i9QCzYdsKQQcUdp9p4nZE8Q+ViJl2o+rsmlxLNvnxfvZsL+VkoSq6qOdeV6EANNBaUgcaIkdVCLr5sUeozSsUdp05NtTx6VBEZkiRVCYealUiLkrks2TFb6v6CLmuVNsBV1ea6Gu01DligvylMjgxDtnN42HAuWhiMf1FbQfTPlkePyiGeREkJFwvckjmd7KO3AufnqFIYrio319VoqwvrtmzZsg6diEmMU0dGzgmThnex+QuedzF1CjqQU6fOnDnT0utELCSvRBMNSQtVOCUDLOZSW0Dob9KAZBiwIJHqDTRG3fpVkl0OsfjmDKjV4QELKeNRsU/WNZWyIeoxtkkNsJhDTSIW4P2h54n2AtOcjc+3Y+pi81a2i/FP0n+cGUAsvmlxfMAizHAQIrV0OawgGWK2yUIPsdB+cVhkfw5YJJAKcCFoPAJgjJjZ76VmQosFxn+hAxn4BLDY3SJIRSw4bVvqjWkSgCFLcf+v8Q2qqmS7vaDLXQlyVeqGy30G00nEAj6gi7GuAVycM3+d3L4Zx0VGt/uvY+oMuhWIxY/8E7TCgqhW1kQ0GAwPo5ZOpy/3+9e9quSqLvdApDE+Pr5lywUSjgAd67Y0ILVlY0FcDDpStvr8V17fE/uP74Wp3Wd2797ND1LbYCEIBQljlXDvJV1IoOnUXQSL8ZMGFehieLAQGl+N4mDZ6PnvPGUNb/P73SDuGdpiISSaWsDFZaULQMV4I0GpGIdN4F6Mu3ZqfDEKWNx/dpd7uPQz6lUMABWrfuCdoj0WgtAbRi4ud9P6q9FdROOTAsJBqRDAwRj37PblZnw7ZNfZr51gfALdxyeC8M2q3atWreJ5nZ1gIeQ0jFR/aRnNn6kuABZ3NbAnGTeGysDF8GJBwBg9fz9MvDn9md38U2AmIDYFKlZ9zzlHR1hQLqTyxVxEoGlW8j/3ElE2xs00t9WbuNX4DudjLbvj1H8tMEyn4oUVBIsVHK+zMyyEXuBCD9yLy0B33nnnvSiCxQVzIwcLElh9fRqoOGUnu39cZXQe8GEFJ0jtEAshowIXnIyqX4lqoVKp5JijsIk4/zePkrhrodZZ91Wq4d7xtrVMRqq1eKTji3GeAivUWeVBiWoO94+02z+RjMRr1VL7wzbuNHTvvf+xqBAgYD3JLvDpMhwCIaKW4QfTSEwRc7FiyQvMQp1ikYiJoZAadW6K1KNp563NRaPGwFo8I4Z1RVH0sJwqeK60lpHDCv4mNlsnE6v1sqbpdN++KCOhRoxYNGo6wvFoX1jDnTWtXOfnU5KFTF4Ja5oW1vuavf79kulonXM/atF82KyQVEyz9yrVo3WD4kShKYWN/cVUhY9hJJ0KhaFOWakcLbR+Bu60ZVMhONwMvzCnSRzNVT9aNGAI8v0KolXMIp1iIeQgHFGcVe5T5LCDk+oGWd4AjVQtZx1jbbro7Hri5bBkj9BqMf4Aba2YVa2jhEQ5W/ZHQpUsOSVWqVbOyo691XCRiZEQiWq6VTlRUrN9aU8rZDRZyTNKJuui5jhFiJQtsrAu67JO52ukJftU5Fy6UmeDkStnVbtOsh5O8e+KcOHmm282qHBmqsDP4GIhDHyGDgXB4XsSmlp9xwBgsYQZpHaMhVAk7amm7e9JUQxJGft7XKODCemsFHJK1MvW8eve38IpttmMFMPuPXFf73OUVmnlk82sd28pG2UcNh32ziMgBGVcl5+SQmKMUVJzQGqeQyv74SMNLBXhdoQUbwFVZrQ340olLZT270h1syXXzUBPg1eGaAo9CsIDsRM/Ag249Ych8mmIFaR2jkWNNLvYZ39PhphYpDR6t3Ui41ZKCrXViaJCf9PITzr9TQ6xbGaBjsWEZLIf2VeRjQfUYzAMLKqibDxodG9aVu3zHjlR1o0nkvQ0uiIbzSFnow42mVhUY0rIeQpdlXjwiRSLdJZeumrsbww6+navGbWVVIX0mKphj0RFZFuMf1tUuC0P+BoXmCVMTa1agVqyCrBYQv2MVUuWLBlieZ2dYyGAdxG2O2MWFkquCa6pqMXS8UgkEu8th3FIRcEz5GX8Ld9bLUUitXQMh1ukkN9e1LP0oVGjuSo5TLUQ1RQ6NOO+WYhFqabjb1qoXouQA8crGTr0K8keLvD8ITWbr1dy8VylXszqBkGSfQdYWBRoG8vhWB0qVKrGe5tZagyUvKdnoFhEwxS4Yi/cB3KxeWoT9Ix77zi9P7rWTBdq8VxvNGYOW4dZMweT15lUeG4adCr/ZhRw6ocVS5AL0BD1NKcWkM8LGEFqF1hAIzh6ERYWoZiEFsDudONleM4kuNFFGZ9h+4mvxYAhueirExoczeVMVGRsU/d0OqiRUsAn0b13r4qzi0Kuw2IwJWlOZ6KWyarYuPacVAYW6axhGZwOaqISQ9sjiW74AItmWqO2wfFTJIMEaK7Zr0m0Dnre4aSUKgZBrGHcm6+j8lKBfUs7LAThp+VDS6iGfqJbXiIbhlb49+wCiwh5AiS7DZlY4D12c17X6H1P4/wMtxXN4DbP6Czm2kXFa0UzNNXqrGsascJny5NSSTThyKrz2azBYdWU5+FO1qG/yto+gh+LClIRbvp6uwoaG0l0HVKkJpDUK+Zp17gEm7NOdyQDlfeNNsVThCBnf23qqEHFdb5fYGN7LISBlxYMLSH/hoaWGBvIx6EF/iC1CyzAmxJFi1MeFoq3/6yDvVAxktG8rhQ8waK7G4ln0bz464S4SM4oAbFAhvxPVlT3tAFp75DMsMylZjZbd+3mxgJxEsOsvr5URgPkyv6KhqOppvy7QzfsPHgEnwrGkWshjWUsrruVtP6tt/qpEG4lWx9n1NCnqRULliMKt1CtWD60fPlyXz/eDRYZybkvBwvGnS9KxkPtI4Y6LIrzccEEiRRjxXKYalUcZBlYiCorTdGUXS1WIk0giswQseZsGC8WEHARI8WOd4WM4r0sAwvZTwXBAPbWbeNYId/lDGNH0kUxTnj0VhSr+XnbGXph+QICwvIFhvCzz1x0gwW0gj2fjY2FGPN7kFUaADAHVTC+cVoAsC2iyq4R2h3NNuYGFhpzbDcJuYCwdXehenIHr7V4saB2npseQxfbaZQoFqzbQFRxR3Nw8/XOZzId5VIh7Cd6vtPjvLTAq1u8u3SDBczeVCzW2Vgwm6hJHX7mzS2T26jZP5Sg5cO89GceUq1221IsVFaGgqjX9Sy6K8+XBwu8Kpadt6okubmmWPCsS9mFKvRrbAPG1NH9hIr9+1lcPEj0u86OMvCTj4qbfCmtbrCAW6RaBp+JBXuUtYbESExzCYbU0YvUSUtLLANsH0izviIWosS5sQnwWyTz20VigR4Js+KG0BQ65qIgFtwSBbK3bGEMvSuv9gz17KdicHE7UWdY3HITlROLnb4QtRss4A7YdpiJhc58rpJoLTTmEwT9rX2YBDloKMu3q3Aj7XMgFiq3ZwD7bz2aQJTMsStOubGowkWpLUcpPCAjFvyeIey0LeCs8ewKS49TLB70c3H7vn37OsHihQUHDSyEAdQQ4eOml3z7TTMWMpt9aE1RZB+VHMa+UdB4ki+RYQsmfthtgFjw30lAA2EaInA5Q3L7K3VjUZfdGX+GkuhdWOQAFi2uAPpTzbxJ0M3xTSNDCAXR894f9u2778jrbYvf89SenTt3AhQ7DRJ+A992+tPf04sF7xrhLLxHlSAjhpKOHX0ZC4eoNTG/ARYtJgdBosU252VAkxH3euTGAk6ntCmDdba6QdEbWrkFVbbMZkRjh2dcPf4gla/DuO/IkfW/bVN44NX+gzsNHaRO5gAi4nM4p9u34Ln6vaqzpL8GlpkGn1Jr1duC3bVuK9zjVtGF7gSV5h94tbDkwgIehFbGC4XPgxWWi2KrwEWo6U7um5j4ZQy48bSfUuFzJI6sX98Oi1f6+/ccJOoHLPZQb+JVNB2Mnac3EuH5dOBX6pwpwpjBNmpQUkPM8UtbBaeH6o6Y/SKQibYxwRxDSBG9Q+luubCAercFCdN8lmuLaQ7+bBpwVmxjUpLoUA9ziJ6lo7cb2vega/v6dlgce6N/D6j/D1NPEZtxEDdOgaNxkDURp9u8hR2AMrHg2H9oTLbH6caiGm7nF1adnqPLIjPkjSp0mvzKFnv5V+wqU29zAirwFyznQhTdeRiPoN9wOCtVOoAq6Uo019GEr98ZVOzbd3uPY/P69du2tcDiwGODg4MARf9vBAFMxlO4+SkwHE+xCkxvlpP36IKd6QQL2E/K5Ap8wfNrWWxzvgVP3tRU1JiWISnZWJ1jvFxloMFbxyEg8EutqzMG1nnyYCFE8saYgaxnU4zJYl717AMkQPftc3BBqOBj0fP7wbG7iQb7XyTf7iF9CX4QXoD+ZM89rCLdYAEPQqjlmMilYlHB4VallUKOCK9bLByTw0RZy6YqjBZ3lSmLvHylU1Bry4p2iQWEI+Z8HUkNq9F2b+M8j0iAjhw5am3d1gKLZ9aOjREsBgefRQJeIb1J/zH4tJP0JnteZZbpdgTVDjVmDIu2ungsSC2bWcWcDQXLuvgq7CoTY49kMq7OuvKusSBgxMLWdEBZU6KtbYbJBIk91ltcABZ/Zu7+8cpNm9YSMAbfPEY3PAtYQEj6Yj90J2zou8Cit/18i1nCIuYo2iUW8B5+kZBhPqC+ZV3mAAty7+qxsGrSKmupVu7M8SMAxevrUceNjYSKjSwsJv5vB9GmtWNr3zE3Ed+z/+/k/wGgAnwNlrrAoq/97KxpwULOttGGuqNo11gQlQoZMWwt65Kvcsv0iW0CI6vW+kV3Ioaq6aKmG0ZD0lql2/8ChuL1j1xcECoYWPS8t2bNypWAxVuWH3JP/+AedC3+CqHJHzjn6GIuZ9g9JjRTLqecFhJt5Cx6MVhgddNlgwxJ4w6s46BFW5fTFRBdLBZEyVwmpNFpq/6JqLaOUh4MLl7GbRs3MrB48saFCxeuWblj0/sH7I3vkJikn5iOY0BF/zHOObqb+e1M380EFpgZavWk+IteLBYCvJ7RR6cSO+fYuMrA3dHahgcQoWXNalwCFqB4RlZ4U1xN0Q5E+Aii0m3bPoJNDCwOz5s//0bA4m+POje/OEicT+J7/h1cjL/yTtExFnTOmyMBORNY4FyZ9lbbWfQSsBDg/RLMZTjmcLjKgDvVftgVelfV/HKJWMD7Szi5jzmPh6oHsfhQOL5tm8mFD4uJhxYvXkywWLPmY3dhCFTfIEYDjQUzOAV191aZM9E8E1jQ5HfHb8ZfOhak5XEIzb4OV5mOrJc7QrtkLMjDkcLRN36oSvuPHpOLDxGLq9+2d+h5+qqr5s1bPH/hwkd63EUHBgkWzwoJSG/1v8I9QzfvoIqy07DNCBZgjzuZFWEXvVQscApEKGuZQVeZBPT0nFFhVy1U51DZpWJB02itcPzASF8hFxs3vuvB4sSVVyIWN7434S15DLB4h3Ylb/BP0CEWFZz/4mqvGcECBs7FjhdMmBYs6KwHq+LuMs0OMAU7arkW04MFzlFT+L8fR6+CRCET26D72PguocLC4vCiKxGLxQ896i/5FiS2DhwgcNzN9TeF7ta3cF/tjGDhmYDZRtODBVTObil3GZxqGmIWM1VwkzwtWLiHWRj6LWDxAfkwsZHqahOLideuvfZagsW8eX9kFXwTMp7CY2AzHmtx/s5Ww8Exac8yBjOCBV0+toW5SNYdUcP0YFF1zQjwlMGZ6a2aEWeAOCalTQ8W9TYh0AQ6FRCc9phUXH0Ivv3pmkWLCBZXzXuOWa6HUDH27DE0Flx/U+gMC/pWVdbTrDODRSTs661cKuuOt/CmDwuetaC9Z4v5E8abLvb36cOi1VmFD5EL8Cd7PrCxOHHbbddcQ7C46ukedrEDY2vHxt55E3qS37c6f8cr7WW9LT4zWNBFyLl3BBrBfl+vGyyqnPUojEnGFVYZEMRG3FnExrsrzpnq3WBR4OIPU8myLcfo0Nn8ED/++WrUocNXUCqufI3hVFA9M7Z27dj7OHLGAYeq/bqc+Dqn96VgYcawSELqURTZVfK8nNgFFqWswqtc3pXU92IRx3fZQhwu0Ji43pjqAoverFZm+w9xT0aZoZfR2aSRxttAxRVEgMW1iw7zS72/di2Mm42NDb7D30loi0UuT18rZ0ytmiEshBx0WaLIsBeJFA6ZFF1FO8SiD+aKZFiNi+8rhVhljJOgux1i2q80Ol2uVz06x6KahbF0lsFIYIKsTVfzgSOF9TbF4jbA4kSrQmthOBW4eLP1wVthETHWGggpfYybMlNY0HeZRf/6bXF8YVFyzH/oHIvEBhyblNI+w1z3hN5+fwQn+4m+12dhxRIdf3HdnM6xwP4npPtX+YnAK0mtp7QSHUdf0xgqe9gyFov+dNiXrLB0gGCBXNzdIjgFcf5CQDKSq+eNxTqkMHMa3YxhYUy69NyvatNYDqPkLtqhtaDLkIiK5F5WK5f3vlzMcFNTdBJozL0MWKSOL6yLnvfoOscigWs8hCQt75oOVErjEHv7VZPfRS7o50NXWFiQ6PS1JzlkPLPJwOL9NscGLMRy0a1yn2gN8ophzsTkmcOCrlkAi6fUa7j2XCJSKdIVStR8yVO0U5ezJhlL5mh90Uq8RFQtRGO4YopriQpW9JIJ0yH4UNRYMi9ZrRTpEj2S948ndONy1sP0hVVFLadzEahTvDel4huU3vVRGKKhKY6gHr7C7EIgPCXx6VUPnWCR8cSmHcjF2AHGj06h4y96//iQvSJaOM+blDyDWJA+WzLaUImVy/mQsfCRqGUS3qIdB6jJjLHykigrmqaqelih5Muul0eYQW2vWR9dC+XL5T7JXIlJK3tP31WAGs/rxgwLqI6qatZxOxlG/hAjU4go0LF4+fjDty2iWGCSc95zj3qjDZh7QTT2VrtDt/pbZbImZ/gJx5nEgtwvzUAT/6Qe/aR6F5TqMm9RTbnWyjPA19yOKDvXUS3760Pal/GygNRd3qJi/MkWl+T2LyGgEIt3SVSCXQhsmTjxGoECsMChssXv/dFJxsSmHZSLtkeu68w/bEgeKKUvmmvl9SSI8VWcWGRF0ZfcMAR/BZH3ZmlaEyVG28L9crahpMu+BQx7NVHc0AKLpipKriauRt2rKBLyvR6fr4x5CWUPU5Ku1hnhJbkr/mWfbMFfTnR7r7mirjiuVJQUNdrhGPJxzFdMUGNhhqWEDKACsFgMY6jv2Y7GxzvoFL6POcdzVLNY9quYqffW2g6UFIg5dTZ1tFzOcDIwiUy5zHv9o9Qsl5mxWC0jaooqk05NVjW1zFjuNJEq51uFcVVyLR5QE7VoTNV0YrBVRVPz/nVdGWUMxesxWAsPellSViqy11+tkfKtxnTS+bJ3IclIJRXSNaySrolF1nx0jjBhcegE2IpDjs09h58mVAAX8+cTMNb8r0HGIxSLdv7mZa9qJZ1JpZrR3g6Xd+5MpXihl6gQ7/qgkVw62kylMvVK+xWkuzxyrQJ16njVaKqJq61EltfDfPQ5tBY4Q2vhmjVrHnlUEP6HYtHO3wz0c9fDJhYPM36cePIhAwsAY+XKJ1bifN8nZr2WgWZZPQYVVxw69JpDTz/9ENF7zz1HuLjxRooF4QKx2NFyMCTQL0IvG1jYSYtrzUDE6ETmm1gYXDw