トレオニン濃度が異なる肉型クイールの遺伝子パラメータに関するランダム回帰モデル
Daniel Dantas Pereira1, João Vitor Santana Prates1, Yara Cardoso Braga1
1Instituto de Ciências Agrárias, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
まとめ
同型モデルでは,5つのスレオニンレベルにおける肉型クジラ (ICA1とICA2) の遺伝的パラメータを最適に推定した. この発見は,肉の生産を改善するための育種プログラムを最適化するのに役立ちます.
科学分野:
- 動物遺伝学
- 定量遺伝学
- 鶏肉科学
背景:
- 遺伝的パラメータの正確な推定は 効果的な動物の繁殖プログラムに不可欠です.
- ランダム回帰モデルは,家畜の縦断データを分析するために広く使用されています.
- トレオニンのような食生活要因が 成長特性に与える影響を理解することは 鶏の生産に不可欠です
研究 の 目的:
- 固定効果と残差クラスをランダム回帰モデルに含めることの影響を評価する.
- 肉型クジラ (ICA1とICA2) の体重に関する遺伝的パラメータを推定する.
- 5つのスレオニンのレベルが遺伝的パラメータの推定に与える影響を評価する.
主な方法:
- 5世代に渡って5407匹の肉型クジラから 920匹の体重記録を利用した.
- ランダムな回帰モデルを使用し,残差クラス (同質の5つのクラス) を変えた.
- 性別,インキュベーション,出生体重の効果は,多変量分析を用いてテストされた.
主要な成果:
- 性別,受精期,そして直線的な出生体重は,体重に影響を与える重要な要因でした.
- 確率比のテストでは,モデル間で有意なLog (L) 差は示されなかった.
- 単一の残差クラスを持つ均質なモデルは,ベイジアン情報基準 (BIC) により最適である.
結論:
- この肉型のの遺伝子パラメータを推定するには,均質な残差モデルで十分です.
- 食事中のスレオニンのレベルは,遺伝分析のための異質なバリエンスモデリングを必要としなかった.
- これらの発見は,家禽の遺伝子評価のためのより単純なモデルの使用を支持し,潜在的に効率を改善します.
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