0:00:01.040,0:00:09.160 Good morning everyone, welcome students, fish  farmers and eminent guests. My name is Piotr 0:00:09.160,0:00:16.080 Eljasik and I am a researcher working at the West  Pomeranian University of Technology in Szczecin 0:00:16.080,0:00:23.040 and for the Polish Society for Conservation  Genetics LUTREOLA. First of all please accept 0:00:23.040,0:00:30.360 my sincere apologies for not joining you in person  today, but as you watch this I am probably turning 0:00:30.360,0:00:39.840 in my bed from one side to another. Today I have  a pleasure to present you some of the outcomes 0:00:39.840,0:00:48.640 of our project development and validation of  morphological and biometric welfare indicators for 0:00:48.640,0:00:58.920 basa fish in the Dong Thap, which together  with DTCC we were running for the last few months. 0:00:58.920,0:01:06.720 The project was funded by University of Stirling  and Open Philanthropy program with a bigger aim 0:01:06.720,0:01:17.200 to improve farmed fish welfare in Asia. Before we  move to our project I will take my chance here at 0:01:17.200,0:01:27.880 the workshop to remind you or to introduce you to  animal welfare concepts. So animal welfare means 0:01:27.880,0:01:38.920 physical and mental state of an animal in relation  to the conditions in which it lives and dies. 0:01:38.920,0:01:47.000 Which in practice means that we should provide the  animals five freedoms all of those five you can 0:01:47.000,0:01:58.680 see here. So freedom from hunger and thirst,  freedom from discomfort, freedom from pain, 0:01:58.680,0:02:12.640 injury and disease, freedom to express normal  behaviour and freedom from fear and distress. 0:02:12.640,0:02:18.600 Animal welfare is also closely linked to  animal health and the health and well-being 0:02:18.600,0:02:27.880 of people. And also the sustainability  of socioeconomic and ecological systems, 0:02:27.880,0:02:36.680 which is mostly covered by this one health or  sometimes called one welfare concept. Again, 0:02:36.680,0:02:44.520 turning it into simple words,  in practice it means that poor 0:02:44.520,0:02:53.080 environmental conditions translates to poor  animal condition, and this will translate to 0:02:53.080,0:03:00.280 the worsening health of humans. What we  really want to do is to turn it around, 0:03:00.280,0:03:12.560 so with good environmental conditions, animals, in  our case fish, will feel better in the environment 0:03:12.560,0:03:22.640 and that will translate into better health of  us humans. As a matter of fact 79% of customers 0:03:22.640,0:03:31.840 in Europe think that animal welfare matters, and  the overarching aim of our project and many other 0:03:31.840,0:03:42.920 projects is to make 100% people of all around  the world think that animal welfare matters. 0:03:42.920,0:03:48.120 It is good to remember that we are at the  very beginning of introducing fish welfare 0:03:48.120,0:03:58.360 in Vietnam. As you may know, animal welfare  is a new phenomenon and even the term "animal 0:03:58.360,0:04:07.160 welfare" itself does not exist in your language.  Therefore we see many challenges but also a lot 0:04:07.160,0:04:15.960 of opportunities to familiarize Vietnamese  aquaculture with animal welfare standards. 0:04:15.960,0:04:22.840 There are many things that we can look at that  reflect welfare, and they are known as welfare 0:04:22.840,0:04:31.600 indicators, so something that indicates how  healthy the fish is. These can be as simple and 0:04:31.600,0:04:42.600 obvious as mortality, or as complicated as gene  expression in the laboratory. All the indicators 0:04:42.600,0:04:54.480 that we can assess on site so on farm are called  operational welfare indicators, and our project 0:04:54.480,0:05:06.560 aimed to develop such indicators. So you may ask  us how do we do that? First we have to select and 0:05:06.560,0:05:16.920 screen biometric welfare indicators, then we  do some pictures of fish from different farms. 0:05:16.920,0:05:27.000 Currently we are at the second step,  so processing of all of those files. 0:05:27.000,0:05:38.040 Next we will need to validate the outcome  and of course do some practical testing. 0:05:38.040,0:05:45.520 But before we actually started, we kind of  wanted to know if these indicators will be 0:05:45.520,0:05:55.080 of any interest for basa fish farmers. Therefore  we have conducted surveys asking whether they be 0:05:55.080,0:06:06.800 interested in using such indicators, and also what  are the main challenges that they face daily. Well 0:06:06.800,0:06:16.200 not surprisingly, all of the farmers said that  they are not familiar with the fish welfare term, 0:06:16.200,0:06:26.000 which gives us a field to introduce them to it.  And when we asked them what are the main causes 0:06:26.000,0:06:34.880 of fish loss at their farm? One of the most  common answers was the poor quality of seed; 0:06:34.880,0:06:43.720 so the fish they use for stocking. But also  we had some answers about poor water quality, 0:06:43.720,0:06:53.200 diseases and parasites, and in some cases even  the extreme weather events such as floods. 0:06:53.200,0:06:59.520 When we ask them what are the main  changes they faced in the last five years, 0:07:01.320,0:07:09.400 most of them again answered with a decreased stock  quality. But also some of them experienced climate 0:07:09.400,0:07:19.160 change, decreased water quality, and some of them  were forced to start vaccination of the fish, 0:07:19.160,0:07:26.760 or they chose to vaccinate the fish. Finally  when we ask them if they will be interested in 0:07:26.760,0:07:36.080 using visual scoring system for their fish,  to assess the condition, most of them they 0:07:36.080,0:07:44.160 were interested and they thought it could be a  useful tool for them, but of course they need 0:07:44.160,0:07:55.880 some training on how to use such scoring system.  So in a scale 1 to 10 the average answer was 8.8, 0:07:55.880,0:08:04.280 which give us some motivation to develop  operational welfare indicators. So currently, 0:08:04.280,0:08:10.920 as I said, we finished the data collection  and we are at the point of data analysis, 0:08:10.920,0:08:19.800 which is very time consuming and very demanding  because we have roughly around a thousand pictures 0:08:19.800,0:08:28.640 to analyse, order and score. But here are some  highlights of what we are currently doing, 0:08:28.640,0:08:36.960 so in the first row you can see fish with  different level of head discoloration. 0:08:36.960,0:08:46.520 Starting with a very nice natural colour of fish  and then some of the individuals with clear red 0:08:46.520,0:08:58.240 spots. In the second row we have fish with  no pectoral fin damage, through some damage, 0:08:58.240,0:09:08.520 and up to severe damage of pectoral fin. And the  last third row shows you a Caudal fin damage, 0:09:08.520,0:09:17.120 again starting with no damage, through some  stages of damage, and up to a severe damage 0:09:17.120,0:09:29.400 of caudal fin. So the challenge now is to score  all of those features that we've identified, 0:09:29.400,0:09:38.520 and as a result we will deliver a practical  book with pictures to assess basa fish welfare. 0:09:38.520,0:09:48.720 And we want to give you, the practitioners,  fish farmers a tool to improve your stock. 0:09:48.720,0:09:54.120 This is just how it's going to look in theory, 0:09:54.120,0:10:01.280 but it I hope it comes in practice very  soon. So thank you for your attention and 0:10:01.280,0:10:07.360 I wish you a very successful second part of  the workshop. And if you have any questions, 0:10:07.360,0:10:29.320 you can either contact me or one of my colleagues  who are present at the workshop today. Thank you.