Hi R-helps, I did an experiment with FAs ['High' and 'Zero'(no w-3) quality; n=24 for each group]. Then I did AI to see their sperm competitiveness based on their paternity performance. My data is as below where Fish ID- Blind ID for each fish; Group ID- Dietary group ID; Diet quality - High=1, zero=0; Babies for paternity- total no. of babies got from females; Success - Babies shared/paterned by focal male; Failure - Babies shared/paterned by competitor, Proportion - Success/(Success+Failure), and the predictor traits are Viability, CASA PC1 and Body FAs. I’d like to examin:
1) effects of diet on paternity performance of fish (either high/low or both); 2) effects of predictor traits on paternity success. I ran the attached codes to have my result sbut each model gives me different results with overdispersion. So, can you help me to give me some valuable suggesions to solve this problem. I'll really appreciate your kind assistance and will be grateful to you. With kind regards, Moshi -- MD. MOSHIUR RAHMAN PhD Candidate School of Animal Biology/Zoology (M092) University of Western Australia 35 Stirling Hwy, Crawley, WA, 6009 Australia. Mob.: 061-425205507
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