Skretting’s latest innovation is AmiNova, a new feed formulation concept that brings an even greater level of precision to fish nutrition. Proteins are essential for fish nutrition. Individual proteins are made of a unique balance of amino acids, each providing a specific function in fish nutrition. Traditionally, aquaculture feeds have been formulated based on crude protein and, subsequently, on digestible protein.
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wBY2wgDoPamPHvTeMKF6571blRYWJYZz2x3qB32tuChh90ipHchjhMqMgXPHbrVSSOWN2icFD3Bq06PE5eLO1vQ9KS4VpU8wIWbHzeuKQ7lRyYyG2jB/I0+RopAvlR7OOec896bgPwRj3NIF8o4yGB6elA7jw5bCAgDsTSndgEckHFNneNgGClSBzTI5huwc/hUlotRknIJ+mKnSQH5TyD6jpVQybmwOmOKckgHekBaJL5GdzKMg461NbyCVdpOD6moIX3x44yOgNOJCjeuA3RgOhoA0VlAyCoUKcYPepFcs3IJHpVFCWJZup6DNWI3JyoJ9zQMmducEE01D5RC4J+vagPgkbePXvUigGPBTPPaqTAdB8wJJKnHFWraWS3nSRDh0PPvUcahAA3X2pzMm4YPNUiWdZaXS3UCyp36j0qyK5nTbw2k2CP3bfeH9a6NSCMg8UmgRJijFIDS0hjSKTFKaMUgExTgOaMU8YoAUCm4qQCl20DICDTQTU5WmbaAEU8U8UzFOBoAcaYTTxzSEZoAbRS4ppoAXNG6m0GgB2/3pOtNxThQAYpMU8UHpQBETimFqkYVC4xQAb6QyioXJFRlznrQBbD5NPU1TSSrCyA0AWM0FqiLik30ATZprHimBxQXB70AGcU5WqPIpwoAk3U4NUeaM0AS7q5L4jnPh+D/AK+1/wDQHrqQa5T4i/8AIvwf9fS/+gPQBzXhw/6E4/6an+QreXDDB71zeguVtXH/AE0P8hWyJ8YoJJVbbKUbpnrU4CE7myFJwFx0qCceZCsydQeaejuxy4Gcc1adzKSKd3CGyhPzDndWcYj/AKsnHfJ9a2riASwjbnOevrxWdIglVk6N0FNiTKqJsARuQeuelQSF4HK4Ow8D6VoJCzApMevyrUdwmI9knIHSpHczpERiTHxgZOagRiQVJ6jHTpU8kbAhskjsM05ot8Zk3DOOlAJlT5kORzioS2PmHXNWiDtI2+xNQNHj6E0GiYgkOdxJzTt3Qk455qMsQflwB6etOGG5PWpsaXTRchcjqeG6mraEsCy7QO/8qzVfgc1atpgJPLwGXoaCCQymKUD+HtmrUM3GFZvbjrVK4jwBk8gZH0zTrfdJGGDZPcDsKQzUjGW3n5iffpVpPlGPmz6g1BaiJvl6AdM96nC/KQV6dhRewx5cqB15PXNLHlWIfBDeppsShxjA+WpyqsnXoapMTJohwAOq1taXdM6GFz80fT3FYkancMnp2qxFI8MiSLzg81e5J0Yen7qrxsJFDqcgjIqUdKgokFOApgPvTwaQx2Kdim5pwoAcKdTM0oNACnpTSKUmigBhFJtqSl20AMANOxTsUh6UANIqMipTUbDmgBlLxSHimFiKAJKOlND0uaAFzS5zTc0ZoAUionGRUmaYxoArOuaiMVWiKQgUAUyhFPVyBUrKKiZRQApkPrR5tQscdKBmgCfzaTzTUJOOtCsD3oAsq2amVqqowBqYOB3ouMlJpM800MG6Uo60riHg1yvxDOdAg/6+l/8AQXrqe1cp8Qv+QFB/19L/AOgtTA5LR222zf75/kK1FfIqjoNk9zaOw6CQj9BXRW+knAyKCbalezYkmJs7HGM+hp6q0M4RzjH61sQaaoH3aj1CwZAsq444OaaeopR0Kg2vGCODu+XnpVSWIbsgAuOfrVmMq8Zwe/PtTZYv7vysuCD6itDnKco80BWXDqfmxUIiZ/lkGd33aulfMDHaRIeDUZdWVlC4ZOB71OwFGSKOJjuQlfftUMkKpgo+Wz2rVwbiBFkAJX86a0UcSjA2jpyKQ0YzxZYs33m7VUkhIm2njBracKxCY6kc1DNbkknHXgE0yjIMPJJz7UvkK/Axkc1dkhIXkZqJI1VwFDHPoKCrsphGycqfYjsadCGikDDnB5960fsctwTGqbOec0y+to7G2ZfMDynnj+GpZotStc30e8ErtZcgqvQ1LZlVK7HwW659Kx5JVUiZk+fOGx0atLTyZ2IZQgHK544rO5aRsxSRMNqHDDoWq8ilFXzeAevvWJ8pVV34YH5Sa0VuJ0tfmTd2GRk0Aae1Uj3qCMnAp7ICnCmsqC7LR4eR1kz07VcSbcSN5A+tUgJ/mjw2Dg96sA5THI/HpVLc5BQPnPcip7fKEblHPXBrRMho19IuCB5EjcE5Q/0rUJArm2zxJESGU1s290J4FckbsfMB2NEl1BMthqkU1WVqlVhUFE4p2eKh3ccU4GgCTNG6mjmlxQA4GnCmDing0ALThTMilDUAPpDzSA0uRQA0imEVJk89KaeaAImFRlTUxHNNI9KAIwMUtKeKY8ir3oAdnFNLj1qFphg4NU5bvYeTSuNI0jIMdaiaQZqkt4rLnNI82VyDRcdi55q9yKQyjsaxprxlbFSJdM68c0rjsXnulU4JpBKG6VmyLI7Zq1bI2OaLsVic9aUEYo20YPpVEle4kIHFVVmcnitBoN/akW0welJq40yFHbGealDOasLbDipRCKVh3IYS3erK9KQRgUoFCQhc1yvxBIOhQf8AX0v/AKC1dOx4rk/HpP8AYkIP/Pyv/oLVQhngS3WXR5nbtcEf+OrXVrbovQVzPgA40Kb/AK+W/wDQVrqQ+aAE2AdqGjWRCjDINPFO7UAc7c2htJWGPlY56daiCBl68g9a6C6gW5hKnhuxrDMLxbo2BBB6mqizGcepVkixllA3Ac/WoDEWjGVyQeSKvAMD2P170qqAMAYzzxTIsVEXcBjJ+lOMaMG3xlgp7irHljJ28U1SFjYMSWJ+UEUhpFXyIjESVxnkVBJFD5ZDEgnoSeKvyxF1wMCsnUpI1hMJkCt0zQykV2hZ5OqlDyMH9KfHbSSP8pGM8qDisVbuWA7PMMgHT1xV+3nkFu9zEpBPylmHT3pdCrGg6xxJ/rAQpwxzj8qwr68he4Ko+4AYyaivJZXDL5hGfTuay3ieRiYy20Hv1qbFiqTLPncxVMgL2NbVrIxiRSOntzWfbWuwDzBgda1IVIIKL360+UVy3DAZf3hxg9RirQkFuojdiUxwD2qawMSjONz0+4i3sZNozQNFEyhpeI8jFKzi3AeV9npzzUhhkVdyjJx0pqWMtxcq0yggdsZAq1YTTC2vd4PzfKDwT2rXhkIO1sEuMg561ivpscMz7iy7uV2DgVuW8BwrFtxC8HNSNXe5ZjODwc/WljnFvdZz+7fr6Cq7s0bZwDmrLxh7cZHNUncJKxqqxx1p3mEDrVPTp/Mh8t/vp39RVwgGpegIkSUmpw2KrIgqXOKBkyyYp28Gq+6jNICxuFLvqANTt3FMB++nCSoCaTcQaALPmUokqvvJpd1AFjzKQvUO+k3ZoAm3ZozUW/FHmUgFc8VnXLOD8taO4HionRT1FDGZ8Zdl5zUM8e4YrT2qoOBVR0YydOKhopMqJbEL0NTLbkjrV4RjbkiovM2n7pAosguUZbLdz3pYLVk7VpDay5pCo9KpIm5XWD1qVY8dBUgFOAp2EMCU5YzT1qRcUARiOnbakxRigBm3FFPIFNxQAlJnmnEUzNAClQa5T4gqBoUP/X0v/oLV1dct8Qv+QDB/19L/AOgtQAfD1N2gz/8AX03/AKCtdPswa5n4eNt8Pz/9fTf+gJXTM+48n8jQAc9uaQkjqCKTHPBpf3i9MEUAAIIqrf23mJ5ij5gOT6irWUbqNppsgIUjOQR2oBq5g4OTuxxSBtw6gYPSrF1CyEsBwaoM5VydnH86aZm42LG5T/gaqNqFuHJ3FXTgqe1P5kQgZJzwaqm0/ePKcZIOfWmSLd6pDHGWVwc8iuXurme7lLD5U7kjk1pTxfanzs2xrwB60i2JJ24/SpcuiNIxtqzn44p2u+ASAcE4rZupWW0CgAYUDAXAOPWr0Wm/PgLzS3luoXYUGBxyam5bMBoSYVlOd3rmpbW23Dcqjn2rUFqGiGNmB2AzUcg8rIY4A9sCrRm2Z8kIQbnYtjnHaljnYjbzgHFaCWfnocrnNC2AhcLt5YgfWrBE9nG6xrJggMODWjBmQYzk5ppj8hRFwQgxgVa01VkmUBcEeorNlotRWSrhuMY71X1DWLCxQx53OOu2meJNQNjarDD/AK2Q4H0rkcomZJf3kh67ulEVcJOyNp/E0L8+QcAc8VZs9YtJmGB5Z9M1xl3duY2KgL6YrMS9kEoYMVYdCDV6bGSm9z1xIBKvmJ8w9RT41YZz+IrnPCmv78QTt8x6Z/irsmjXaHAOKLWLT5jNJe3k3oOhzitRJA6B1PB5FVJ1649KSwk2kwE8dVoeqEtGaIkxTxIKiKc0hGKgsmLjFNMhzUTEio/MOcUAWPNpwmqtuzTs46UAWg+aduGKqrJx1o8ymBY3jNLvquGzSlsUATqT0Jpd3NVvM96USe9AE7NSBqi35NOHFAEwNGfWow+Kazn1oAnCg0eWuaiDmk805pDJ8ConhDNnPFJ5hpfNx1p6CF2bRgdKaQaPM5604HNIBuKeF4qGWQq6qO9SI+F5ouA/GKeOKYHHrTg4pgPHSlpgkFLuB6UAKfWkozxTGbFIBxph4oDZWmMxPSgCRTXLfEP/AJAMH/X0v/oLV0oYr1rl/iBzoUH/AF8r/wCgtTAPAMfmaBNyRi6b/wBBWujMM68qVcenQ1z/AMPjjQJ/+vpv/QUrqA1ICmZXXIkhdffFKkw/hcr9atluKrOkbHJUZ9qQxfPOMMA3uKrm4+fC7gKebcMPlfH1qJraYH7oPuDSAdKQ8eCOPasebYshUHjtkVqGKfbjaR9RVSbTZpDuzz9KAZBGB/CenSmzg7GGzdkdBTzbTRNkoRjuO9OBJHIxTuRYp28EQA3AfjU32dRJkAGp/JU4yOtOQBflGcUtyhUhCoWIrKvhxwoyzccVtdYSCOKydTjH2cMTgK2cihLUTehHHbeSMeWQWGc54qCWDzcIycA/nWjAySwIC+WCgeoqeC3VcvtB9c1psZ2uU4rcQQ4C4z1qhOZHnBiXJjIOfTmtmVC7ELwO59KiitEWQt1zjj0pXNYor+UQAz8s53VfsElEuVCAA8g9aQwAlWHG31q3ZhU3jB+uKhsZx/iKZ59WnYjAjwq1mKjzDG3IPXjrWxrEEp1WZXGdxBHuKlNr9j06ZwnzpExUY74pqViJR5ji9WvLOAmBnLSDqIxnFRaVZx6llYJA8vZTwa51yxcljkk5JNT2d1NZ3SXEDEOhyMd6rluRsdbbwS2M6spwVOfoa9T0+5W70yOZT95cn61yN5p32y3gvEUq0kYMn1rp/D1uYdISNhnGQD+NNN7MrRaodI2eByRVV9ySh1PTmrM0ZU/dPJwCKhZSMKR1qhs1Y5VkQN6jNOODVW0/1A9jVgVDKHbAajNvk1IDipFOaQFKRChqFp8DBrQmTdkVm3Fu2cgUhgk+T7VYWRSOtZ4Vl6ijzGB60wNVSKV/u1QinY96mM5IxQAMxBpwcgdqhMvrUfmc9aALay/MMmrG/wCWs0SZYc1bSTKjvQBKZMUb8iq00o6DrQs3amItFwB1pokBaqsspxxTUZtuSaQzQDA96Vl3ciqCznOKtLMQooAeEIPNKz7RxQJgwqKVwBQICQx5NK8oVcLVYyDHWozJtbOeKBloT84JxU6vkdaoFlfG3rTwzIeKAL5bjrQsm08mqu8suc4pPNJHJ5oAtvKQfalaQMtZ7zkdTU4OYd1CAm3kdKUPjkiqyzgjHel3lkPNAFrzUbjNcz8QCDoMAB/5el/9BatfJBJrnPGspfR4lPa4H/oLUCLvw+z/AGBP/wBfTf8AoKV05IArmfh7/wAgGf8A6+m/9BWulkNAxjNULNk05yKjBpAPUkDml87HU0xpFA61Unm4ODQ9AL6z54xSuT1rLtJWMntWpuyuKSlcLDOvWoJrRHGV+U+1T0nWmwM5omQkOOtAAU/oavOPUVA8QByvX0pAMKgxnFUrmMSwPGBnIq8nzZB4NVZQYpMHjFCYmrmPZzNazbTkqeMelbUYeRMDIXHJqa1t4Z5FZ1QKo5BHJqzcxpFD+6UKvQ4qnK5EY2Kcse6LYuV3DrSRx7SsR+b3K4pxiErBim4jpnjFTorMSWUKAcAUi9hpTqAMZpY12SjNTbeATxTGAPOcHrUjMzWbHe8d2i5MeQyjqVNNVYpYF3sOmN3ZhWsHDjPX1rOu9P2hmt13ITkx5xg+oNAHm2v+EPLvJJNOkVo2bIjPb6Uuh+Br6e6jkvdkMIOTk5JrrZrWC4Yks0MinB3HBNSW+lRs6tcXrsoOQoOP5VPNMTimbiQx+UtvGQwXArZghSGBY14wOlZNntj2iNdoHSrcsxXJJOK1johWHyQZf2PWq8sAVs+lTRXBwqOeWOAT61XkuGUyBuasCWM7OPWpiwAqnasZEyexqdj2NSxrYlznpU0fSq0Wam3YOKQxl9cG2tnlAJIHQCqOnamt8u1lww9a08gjBGarpZwxSM8S7d3UCole+hUWupG8QLYxUclsvUVYk+Wo2LbaskrhABgUYYHJFSRKS/NTvtHagRRfNIIiec1NMo7UiNwKQyMIVqaF9pwelOXGOaYXWNvamBLLEHwVqJY2VulTxOGzgcVKo5yRQBXePOOKdsAGMYqcrkg04xqw9KAKDqEbI5pVnwcEZqWePA4FVEdVk2t1NIaVy20o256VA0jOfap8Kw2mo2tzglTTEU5ZdpxmoWuS3FLcQyBiSKYi+ooAs2cwD/MeK0WZWTcKzY48EECtAKCgApoRGG8zhTg0g/uscGmPCYpNyt17Uzc7saACVGVgQSRUkM+35SeDTQpZCDwar3MMkKhs0gLTMquWBqRZV8ssWrMZmZBzVtbMm3D7uTQBJ5u/kGsXxqF/sKAjr9oX/wBBaty1jEQ+bnNYfjYj+xYgB/y8r/6C1MCbwFKI9EnB/wCflj/46tbct78+Aa5nwbbyy6RMyHjzyP8Ax1a1jaXKyZIyKylJ3NIpFuW62rk1JDKJoyRVNrWWROVNS2kTW4K4NQm7jaQybzAxxmmJEznmrrLnnFMVCD0rQglt4QoBq2oFQRcCpN3NUIJFOM0i8U8OCKYTzigCORuagkXdU7r6VEwOelAEPzAgMMj19KJ496Bu47j0qdVJOMVYSNduCM0rDuZNswjuFVzhWODWuYw6tG5G1h+XpVK8siCZE5HcVBBdtEQjn5c/e9KQi15bjChskcNT7Ykhw2cg85FPjnQkc/eGMH+KppFDqPLwCKaYrEZznpx601k3deM09ehDDB6UpHHPNAym+5ZgMDYR3o8wEnrgdKdcYCMQccduTWeshLnawwxzkHvUjsWpIIJsiVQTSR2FovRMH601Gl2sSMN2zTFMqkGRuQOfamMuqI4vuikdg0gJA4qDzcAkjpULzkjIzg00wLcpDRtkc9qpse3c0qzjozc+hpp+aTmrTJZcsRi3H1NTMvOabZp/o49jVjAApMFsLApHWpjGM5qvvb+GpF3uKEBDey/Zk3AUtpcCdM0y4jaQbW5FFqi24xjFTrcrSxNMmV6VnJdqbgxHjFX5Zy3CLWb/AGYz3XnZINKTBJGgVG3ctRhWZhuq3EgEeGpzRqTVJCZSkiGRUXl4cVdkQDkVBg5PGaYEcnzAAcGojCQpc84qxGC5ztIqzHAzcEcGluKxnWN7HLIQOMVoBwxOKij0mJJ2lAwTVpYtvAFJXG7EZPFRSXAVcd6tCLIwRTTaoTkiqEVhKrLyOaoyWRmuhIvatlbeIdRS7Ixyo4pNXGnYznjIxmnIxXgirhiDZOM45pUjQffX6U1oIoSAOelRm25Hyda0njVCfl6U5ApIyO9MRUhtRt5FTLBgcVY3IPukUjP8vB+tAFCeLrxUEcLKuehq/ndwcEGl2BgRkDAoAzmDbsYp1zC0sahTnNXFXdjHPvToyDuDEAHoDQBQgtEU4l7dKuIqqmzH4VIIl3b8ZC9RTjCTyuAT3oAaI0A3KRnHK+lcx48UDRISMf8AHyvT/dauoW1dMu5PzHjJrmfHsZTQoSe90vHp8rUAM8C3KwaHPu6faWPX/ZWuhfU7UDO9efevMrCeeK1ZY2Kqznoe+BVlLi5KYJd/UmjQVz0A6rbBQd469KeL22lUMJEwa4DzZwA2OOtSC8lAyOnpS0DmZ6FFNCSACOlSgxE7CVzjgV50NTuVOQ+O3BqZdWuHdS8pyvQ0WQcx6B5SntR5ajtXHx+JroH53zjuDV4eLFYbDFgnvnpRYLnQeWhPFDRgGsCLxMmDmPLd+ani8Ro7/PGAB70WHdGx5KkE+lHlLnpUNvqEExXa2N3QGrWA3pxQMQQqO1O8oU4EMR7VKqgruPJ6H2oAg8s9uaqXWlxzDK/I9aO35uOKfjcOaVgOdkjuYF2ugbH3W7irUE6lQFOHUd61HVSMN3qrNYRyc4Ab1pDGMRIP9oVGdykD+dMltbmMEo27HT1FVmuG2BS+5h95WGKQWLFwv7tiqgtjvWfc2MnlBlIz6KK0beVJYx8x3Dgg0yWN3yrscdscUDTszPRJ0+UMCuOM0gnVmxjB6nnvVqSNYWLGZiCOBjpWe8Cu2RLyfag0XvExJ2lsA55qFmDE89aRIJYwSr59s0zbJv8AmXgdKBOIgQhgRye5qwrdM44qCM7lBAIY4zUgDHjHyk5zVxIaNbTt7xEjkZNWXjJplgvk2SD15qYyjIHc9qbWpK2IgrKeRU4ORxTHmBIBGDSoQW69/wA6QCjBPJ5pSqk9KY5TcecelQiTCMQwYjsaAJlCYJXFPUAio1CgcZHQnPUU/wA6MN8mCO4PagB5QgdeaV0yoGcGmsUMRfOAPems4XJLkEngdQKYhfJYjr+NIkQLdacrnBAbimq6sAwBweuP50AL5WGODx6mpOo4PKjmomcZZULHd6nqRTC+GBZW6dKLATCU5wASc0pnVfm6Aniqhky+QfmHI56VFJKBjy2+U9c0AX3uFUFsjGM8VCLsSoHQ4IPI9RWZI8kgYGVQMZIB/SrMW1gCG4B6UAWPOZtw2k+hFCvIY92NxPGPSnW8asXyTuA+WlDfMcYGO1ADwScMFPrkfypTIo4x04IzSLIWJOD05BoKxkDJIzigB+4PnBpMLk4JBAz+NRkeQ/DZANS5UjHcdSKBkRj4Yfeyc8d6cN0ijfxt/M0bQzDsTxnpinKNjDdyB3FICHZhvlbquPpQSDIUB4I9O+Ke5AIPQZzUbkFhxg9j6UAEZ2uUc5HselLKWQDhSTzmgsgXe/7sgckinnyyE7DvQA2Mhh85KgjnFTRkeXhidp6fWqsiMsolTcVwcjd/T8KlU+WNrdDzQBMN+Cuc+nPNct4/I/4R+AD/AJ+l/wDQGrpN+JAo4BrmfH7H+xIV3ZUXK44/2WpiOb0Kza4snZVJJkK/oK0ZdNuYiAAxHoKu+Bo1bR5WKbj9pYZ/4CtdG0O5gDxjj8KTbCxx8OlXMikFTxzgVPJpUirnGCR0rsRbog+5jNIbcADj5s5FILI4UafIxfAHy8EGozY7QAy4+ldrPYq/zAYJ68VTnsN4OUxQKxyq2K53ckUr2YI/dnHsa3H05kUkioTaMuMhgf0xSHYyhbsvJPHepEXYecj6Vekt325TqfbpVaKCZYtszh3/ALwXFFwsSw3BVhhuh4PpW/ZaupAVzknqfWua8tgeBk09GZeQelO4HaxTLJ8wPuKtZO3II54NcnaamyEYIHH4VuWt+siAsRz3oGaGeOKTfgkY6VCs+DuU5NO3h+nGaAJMhu/QUgJA+Y5phIUnHpnrUbSlxjuevFAFjKkVDJBBJkugJ+lCnCMCTwRg0qNh8EZFAED2MMi/ICrDoarMs1vnd+8QfxDtWlISCCPSoQzYzt+X1pWKuZcxjmTKkZqsFI6gVqz6dHcDdGdj+o6VRktZ4R+8XI/vCpNIsjVeOMfhTwgI5FMB21OjqwwapGjWhLa20R3buQegqW5s0QfuSG96yrfWbb7X5cRZhnAIHWtkXUQVVbAkJ4BPJqlKJlK6IYA8FsEJBKimPPnG05I6HFSErNL1IK9qjMZQtu4bPTPFF77GVrCy3PzbGyT606KU/Kg5IyarhG4IGD/eznFQXE4tH3PIIx/ePpQBoFyR90k9T3pskath+VDZPIzmqltIbos8MmeOcdTVzyn2KpYEYwpPakmmOzRTW6ZiyBxx2J5pYptqeYWy2PWr0FqFaRiAGcnnGaY9vsUGMKrA56ZpklYXJSI8gj37VA1yHbqffNW/sMjFgdpFMitikEkQ2mQkYYUDJYJyYwQdxHOBViOZmi8xUDDGMZ6YqkluVYLltoyfrU4O2PHIyOuOKEATTqx+RWB9j+tRtd7YgJCDuHBBqYum1i0Yz3z6VRuUHmbhEChGcZ7dKYivdX7GcMH68EgcVG1zmT5WyPUDtipPsLRpvZdwPT2qW2tlQktGN2QTSACEaJAFwQcE9zV2xjBxg5BPzA96T+zt+2XfgE9PSrccGzA4oGTMOAUGGNAG5sFcZ4/GpTESvBINMfOUHfPIHagBpXYvP3gaaGLg5GFNT3CDqGBOKjVS2SvBA5BoATblsdM98UirwRuz3p+GTp949fpTPmLDCkA80ALtxHtz0HHtQXJIUE7QOhpdxcFOlNUsQBxkH8xQBDKwfMZPJ5pQg4AGWXv7U7buYMQwPSpNqt84UqR6d6AEwpkyyZUjj0zULcP93jNSk4Xk4OOmKgd2Egfrg/pTAsK5ChsgKDjp1of5VbcMgjj2pgcbmQEYIyKc+WPB2gjpQAhUiNc9+lcv49Zm0K34AAuFHH+61dApZNysS4LZB7j2rnfHUm7RYlCnAuV5/wCAtSAsfD1Q2gz5HS6b/wBBWun24OQMmub+HX/Ivz/9fTf+gJXWBPQUAQ8nbnrQUYZzg57ntU5i5B70FOc0CIWj3KATTWiG0j7wqcD0FRkHOKQyA268kjr61XksehxkGtADAJPOaEGUO8c0AZUmnLtwO/WqcmmNsJHHOK6JYl2hsUPGrDgYzSsByE9hImSoOM9RVZ4G2gMPoa7J7RJYmQkgHuKim0yJgMjkDFKwHHNbOuGXkihbqWElTkDvXST6Um75eB7Cs250uTBIIPagCGLWTGoySQB681NbeKInO11ZSBgH1rJm0yVWOFyBVJrUoxIXJz0ouM6t9ZQZ+fOfamxayMKc4x3xXLmRzwc+1SIkpzlSW9MUczA6uPVhvyDkHrV1NQgcL8wyeD7VxaPMqghTj1xUsU0u793u3dgOaOYdjtlnjwfmyPWl8xDlUOQfauVWa6RBvR1JOOR+lWo765RgrBvajmCx0a5jAGQV5pWZWwNoIxg+1Y8erMcqxH5VbivYrkOyEfKcEA9DVCEutNUkvEcZ7VnS2N0FdUGGwcGtkzo3ybwGx3PFRG6RfvHORgipaLU2jl9Pt5NPkSG8hCSbtyuDV6/jMl4upQOZDEPni9OOtM8S2dxcG2ubZS7JwQOvt/WsnR9QktrtknJCucEEVi/d0NE76nSQ6ik0YZ9qMemTSGZS/fGR36VyWr289ncMYgZIS2VIPQHtS6dc3Gd25tqjBB71cJESijp55Qu4JknggE4xWPrnn3dquzDFeSB3p4u5J3O+Nt2OAB1q7a6ZdSKCy7E7KT61bdzNaMZ4ZvF+zeXIm10Hp1rehdW+XIwTjnt71UtdJkR88HHTFWktSoBZtxx196IRaHJ3JnQgDDA4prLMQdw69DRJG4k6/Ke3pU6JgcnitCCACRoeVOR39Kb5YUMxPLdDVlhtJOc5PamyfNxjj1oArGM+VwcADrTkG0mJxtHRfrTpMeUBiq7xEjLMT60AJJKPmwDgdeKgkmjYhI1BPPSknuBG5XjFWLADO6RBkjg0ASW4UxDOV9R2qZoIzsKjLAYNKsfUY71NGdg5FIAjQYUkg5pXU78L+FSDDjcMcdaTDbxtAx3oGSAkj5zgnrTOA+QOnejO5jmk5ZgOxoAY8Ydshu/FRuro20tg+hFTYCZHftTZmEmGP3iOtFgBFkeENu4pc5ZBjHrQjFcZ/GllGCGWgQxt2dwPtTIpCDtZTx3qRAeSeg7UAOoZ8cGgYHYsYbcd279KTIICKeepNPUb423Hn0pixckk9OaBAyxlDlsEDOD3qsybcMpBDdvSrBTcDzye1RFCAENAxV2keUzYLdCO1J8yIVYfMowDSGMhVZVGF6+9MLgbm/h7CgCus+JVV/l9SK5/x1v/ALKjJxtNyOn+61dASh+cgEHtXN+OJRLpsW0EDzlz9drUIDS+HZ/4p6fj/l7b/wBASuuB4GK5P4cDOgT/APX03/oCV1bHHFAh240Hp0zQDQc5oAQYxSEcUpyelIRkUANAO3kUFeafnimNnNAwKleAeKN2OO1BG4g4pdmD1oAUHcADSkYHTNKBgUm7r70AMIB9qjkijYEFRUowOtN+YtyMCgCpJZRMOVrOl0a0Y7T8mfStmVefpUWwElmGTU2GU49Fs41A8hSMY3VYjsrdVClBnqCanReODwexpyrkk4zx0PanYVyv/Z8Lg/IuKdHaRLNlIgp6cCplHeng/OOceposFyPylbO8AknJzzUbWsRIYoN3rVlhgEA5561HuzRYClLpkDoSAEHrWW2mGIHyTxyT710JC4O7p1qJ4VJ+Xj29aXKO5zZhvFfKq3B+8ajWO9kk2oCXHbpXT7EC88N61GNqDdwW9aLMd0YKJqjKwO1VxyD0qqdKnZvOyu8nv61080gihLM4GDkL6isa6v0A4PfuKTjfcOa2w19OiICmV1GRu96kgt7OKX90m7B/i71jm+ZpSQT+damlNvclwQpppK5N2aLonysmFPYelTib7q98c1XmXZhv4fanJKqvkjkjoaoC7HuP3TScIMA5qPzREQfWpfMjkHA570CJc7uccUeYmenApQB5eBUYj25IOaYBu+Rsc4NQeewfA6HrTyhYnHH0potTuzmkA7cGHSnkDaDjqKaEKmmlXY9+KBlaS1R5dzLxU0SKBz0HSpMPjpmk8tyhYdBSAsGMMgKdRTcFcVHFMU61Pu3EGqEOQYH1p4YA4phPOKC+Rg9qQxzYNLtK80gZWFLu4waYhrNgE4zxUa8jJGMip+xphOQAe1IY37wK0bew6Uq5B6UvRgaAGqOuaUlhFjPFK+D0704LlMHpQIYBgAjrTWIJOOPWpHUjDZyRTO7AdxQA0KG+63Sl2gMCeTTQhXkHg0ozuB9KBiSHHy9s1HNGsqjA2461JM+G5XINNjYOpwMEUCKnlqTt6kVzHjXcNGjGzA+0jn/gLV14VfvcVy/j0j+xIQP+flf/AEFqYy18OTjw/P8A9fbf+gJXVE5Ncp8OlzoE/wD19N/6AldYE96Qgp2aaRigUAPoApOlGaAF2+lIRjvQCc0hOTQAgUtnJqX5dg7+tRjrTjwKAEbGRikI6mkY8U7BIyaBkb8KDmo2nORkcVM65WoGTPakA53DAc9abgAZzTCpDCnmQEBegpgG4dSaEBJLnv2ppXnOetR3VyttGWdsYoAn3YNOZ+c9azLbU4bqTahyavxsN2DSTTBqw5W59qVeASe9I3p2pwXH40xAeRnFNb0qRgTUcmcZz0oAZtBJDfnTJECj096XJbJJ5pnnq52MMkUAV7lVkQRj5SRgmsO9hEG9Sm7A61uu3z8Csy7kGxhjOaGBgRwtI/bJrb0+UhlR+QOtY6Bo5c7TWjbxzSD5U2+9JDNSaeJsqpIx2NVZr4s2AOemahjtpvN2ueDWjBYxxHLcn3piIbS4Yn5+c+taMDAnPamJBGDnbUyoFQlRQBYzt6cikIY+1QpLg4NWJHBQYpgNClaejbajWTilc5HFADhyc0pHpUSknipF45oAATjBFMJOCOxqUkHikKigCJVXHSmsGAG2p2QYpFXB5pAIgcjJpcdzTifSkNAABzUhOKjpMnNMCYPnilKg1Fk05XyKAHZwMYpGAK8U0GlJoAcGXbjHNIG/hpFwTQy4pAP3BaYQMkijbkU4KB1pgJt3KRUS7kY4qZmAHFRluKAGnErYbiothAIzUhBxR2pAJ5GUBB5rkvHiFNGi/wCvlf8A0Fq7HdtFcl8QP+QHCf8Ap5X/ANBamBY+G/8AyL8//X23/oCV19cf8OTjQJ/+vpv/AEBK6wNSAkKg03FJupu6gBSCaXGBQCMUdaADNJxmlxTcUAO6Ujv8vSmMSKUHIoAAdwqQNximheKXHFAA3SmY+WnkZqNutADMDvVd2VSeelW9ueDUElqGzzyaAIRdLjBNU9TVLy3KA5zVpbDLnceKcLVFOMVLV9Clozn9H02W3uvMbO010uBvBpAiheBTlBxSjHlHKVxx4Oe1DyeWQT0pj7uKQyjo1WQTibP0pGw+feqpmUE1JFKHJxTAGGMCoHgO7IOCalk5brTHJPQ0AR7Du2mq89puHTNWFkAPJpWkGaAM8WUbEZWrkcaxDCrSjG7NWF2leaAKzICwI61KY8qOaCAGyKblieKLAOPyjinow280gQmkMZ7UAG0Z4p601UbPSpNuBQAoFPA4xTRxT6AAAZzTqbmjNACk0oPFN60CgBSc0gOaQ8mlFAC4zTgKKXNACEc0bc0uaUGgBNtAQU4UtAEZTAqpcXIhU+tXW6VSuLfzQaljRHZ3ZlHNaKnIFULe38vgCrynApRv1HKxLxjtTGFJuozmrJGnmkxTsU7FIBmKQrzU23NIVoAiK+lcn8QRjQ4f+vpf/QWrsNtcn8RRjQYP+vpf/QXpgL8Ov+Rfn/6+m/8AQErrK5P4c/8AIvz/APX03/oCV1o60AGKTFPooAbilxRjNKBikAAUUuRRTEMK5oCgU4ikPNAw3UtNopAKSO1IQKMUHpQAw5BzQpyeaWjGDQAMMUwgGnNzTeR0oAZt2mnAUh5NBOBTAR8VCU3GpjzQpwKAKUkBBp8a+X0qeQg1C1ACEEnNMbIPWrAxURHNAFdlYc9aQbjwasjBpdgoAiVT1px3VOI80FMUARxoT1NSiMU0cGpVPFADlTineWDQGGKeGzQIYI8d6NtS0ECmBAy4pMVMRTSKAI8UnSnnrUZIqWxig0tMHNSqOaE7jsN20oFSY55pSBTEMFJin4pCKAGU4GjZRigB4IpRTBSjigQ7ANMKjPSnZpDQAmB6UAUUo60AG2gCnA0GgBAKWmmjNAEgNLmowaUmgY7Nch8RjnQoP+vpf/QWrrM1yfxE/wCQDB/19L/6C9Ahfhz/AMgCf/r6b/0BK60GuQ+HZ/4kE/8A19N/6CldYGoAlzRTAaUGgB4HFJSZpM0AO4pR1plKDQA+mmkzSZoAWikzRmgYtBpM0hPFABSGikoASnHGKbSbqBC0xuaMmgUAJ0prEU7vUbd6YDGeoixNSFSabs7UhiAkinbSacseKlVKAIBGR3p6qQanCZpfL96AGDimOc1MVxTStAEAzUgp2yjbQAZp4bFRkYozigCYPSiQVBuoDUATGSml6i3GkyaAHs3FMpQM04LUtDBFqVRzSKKfTSE2KKKSlqhBRiilzQAYoxRmlyKQCYpMU7NIcUAJSUtFADSKUCg9aKAFppNLmmk0ALSYoBpaAEpR1pM0A0APrk/iL/yL8H/X0v8A6A9dWDXK/Eb/AJF+D/r6X/0B6AMrwb4g0vSdIlgvbrypGnLhfLZuNqjPAPoa3/8AhM/D/wD0EP8AyDJ/8TXllFAz1T/hNPD/AP0EP/IMn/xNL/wmvh//AKCH/kGT/wCJryqigD1b/hNfD3/QQ/8AIMn/AMTR/wAJr4e/6CH/AJBk/wDia8pooA9W/wCE18Pf9BD/AMgyf/E0v/CbeHv+gh/5Bk/+JryiigD1f/hNvD3/AEEP/IMn/wATR/wm3h7/AKCH/kGT/wCJryiigD1b/hNvD/8A0EP/ACDJ/wDE0h8a+H/+gh/5Bk/+JryqigD1U+NfD/8A0EP/ACDJ/wDE0n/CaeH/APoIf+QZP/ia8rooA9V/4TTw/wD9BD/yDJ/8TR/wmnh7/oIf+QZP/ia8qooA9V/4TTw9/wBBD/yDJ/8AE0h8Z+Hv+gh/5Bk/+JryuigD1P8A4TLw9/0EP/IMn/xNKPGfh7/oIf8AkGT/AOJryuigD1M+MvD3/QQ/8gyf/E0n/CZeH/8AoIf+QZP/AImvLaKAPUT4x8Pn/mIf+QZP/iaT/hMPD/8Az/8A/kGT/wCJry+igD1D/hMdAHS//wDIMn/xNOHjPQO9/wD+QZP/AImvLaKAPVB408Pj/mIf+QZP/iaX/hNfD3/QQ/8AIMn/AMTXlVFAHqp8aeHv+gh/5Bk/+JpD4z8Pf9BD/wAgyf8AxNeV0UAep/8ACZ+H/wDoIf8AkGT/AOJpP+Ez8P8A/QQ/8gyf/E15bRQB6j/wmPh//oIf+QZP/iaT/hMdA/5//wDyDJ/8TXl9FAHqH/CYeH/+gh/5Bk/+Jo/4TDw//wA//wD5Bk/+Jry+igD1H/hMPD3e/wD/ACDJ/wDE0Dxh4eH/AC//APkGT/4mvLqKAPU/+Ey8PD/mIf8AkGT/AOJpR4z8Pf8AQQ/8gyf/ABNeV0UAerf8Jr4e/wCgh/5Bk/8AiaP+E18Pf9BD/wAgyf8AxNeU0UAerf8ACa+Hv+gh/wCQZP8A4mj/AITXw9/0EP8AyDJ/8TXlNFAHq3/Ca+Hv+gh/5Bk/+Jo/4TXw9/0EP/IMn/xNeU0UAerf8Jr4e/6CH/kGT/4mj/hNfD3/AEEP/IMn/wATXlNFAHq3/Ca+Hv8AoIf+QZP/AIml/wCE28Pf9BD/AMgyf/E15RRQB6v/AMJt4e/6CH/kGT/4mk/4TXw9/wBBD/yDJ/8AE15TRQB6t/wmvh7/AKCH/kGT/wCJo/4TXw9/0EP/ACDJ/wDE15TRQB6qfGnh7/oIf+QZP/iab/wmfh//AKCH/kGT/wCJryyigD1P/hM/D/8A0EP/ACDJ/wDE0v8Awmnh/wD6CH/kGT/4mvK6KAPVP+Ez8P8A/QQ/8gyf/E0Dxp4e/wCgh/5Bk/8Aia8rooA9V/4TTw9/0EP/ACDJ/wDE1z/jTxDpWraRFBY3XmyLcByvlsvG1hnkD1FcVRQB/9k=) 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The first AmiNova-formulated feed will be available in the Chilean salmonid market in Q3 2024, with more species and countries to follow in 2025. |
With AmiNova, Skrettting is introducing a new way of formulating, based on an ideal digestible amino acid profile. By evaluating the total amino acid level that is effectively ingested by the fish and removing the unnecessary excess, the nutritional needs of fish are met with increased precision and efficiency.
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) 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Ramón Fontanillas. |
“R&D results have shown that, with AmiNova, the fish are able to retain nutrients in a more efficient way, while maintaining performance. Our trials with salmon and trout have shown a significant reduction in nitrogen discharge into the farm environment,” says Ramón Fontanillas, Principal Researcher Shrimp and Warm Water Species Nutrition, Skretting Aquaculture Innovation.