Optimization of Feed Ration Cost in Dairy Cattle by Genetic Algorithm

Yıl 2024, Cilt: 6 Sayı: 1, 65 - 76, 30.04.2024

Ertuğ Atıcı Abdullah Elen

https://doi.org/10.46387/bjesr.1435749

Öz

Feeding animals is one of the important problems of those dealing with livestock breeding. In order for animals to live a healthy life, they need to have adequate and balanced nutrition. Providing nutrients from cheaper sources has an important place in animal husbandry. In this study, it was aimed to prepare low-cost feed rations for dairy cattle with Genetic Algorithm (GA). In the experiments, a milk yield of 20 and 25 Kg with 3.5% fat was targeted, taking as reference dairy cattle with a body weight of 450 to 600 Kg in the 10th lactation week. GA's results were compared to the National Dairy Council's raw milk production cost in June 2023, yielding an approximately 20% gain in feed cost.

Anahtar Kelimeler

Livestock Breeding, Dairy Cattle, Feed Ration, Genetic Algorithm, Optimization

Sağmal İneklerde Yem Rasyonu Maliyetinin Genetik Algoritma ile Optimizasyonu

Öz

Havyan besleme, besicilik ile uğraşanların önemli sorunlarından biridir. Hayvanların sağlıklı bir yaşam sürebilmesi için yeterli ve dengeli beslenmeleri gerekir. Besin öğelerinin daha ucuz kaynaklardan sağlanması hayvancılıkta önemli bir yer tutmaktadır. Bu çalışmada, süt sığırları için Genetik Algoritma (GA) ile düşük maliyetli yem rasyonlarının hazırlanması amaçlanmıştır. Deneylerde, 10'uncu laktasyon haftasındaki 450 ile 600 Kg vücut ağırlığına sahip süt sığırları referans alınarak %3,5 yağlı 20 ve 25 Kg süt verimi hedeflenmiştir. GA'nın sonuçları, Ulusal Süt Konseyi'nin 2023 Haziran ayındaki çiğ süt üretim maliyeti ile karşılaştırılmış ve yem maliyetinde yaklaşık %20'lik bir kazanç sağlanmıştır.

Anahtar Kelimeler

Hayvancılık, Süt Sığırı, Yem Rasyonu, Genetik Algoritma, Optimizasyon

Kaynakça

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