终端用户偏好,以提高乌干达土豆育种中品种接受和采用的前景
Judith Ssali Nantongo1, Samuel Edgar Tinyiro2, Mariam Nakitto1
1International Potato Center (CIP-SSA), Kampala, Uganda.
Journal of the science of food and agriculture
|August 7, 2023
概括
通过了解感官特征,提高了消费者喜欢的马的育种效果. 近红外光谱学 (NIRS) 显示出预测土豆颜色和质感的前景,有助于品种选择.
科学领域:
- 农业科学 农业科学
- 食品科学 食品科学 食品科学
- 植物育种 植物育种
背景情况:
- 马品种表现出多样化的生物物理特征,需要根据最终用户的偏好进行选择,如性,坚硬性和味道.
- 将消费者偏好与煮土豆的感觉数据相结合,可以改善消费者驱动的土豆品种的发展.
- 这项研究旨在将最终用户的偏好纳入土豆育种,以加强品种接受,采用和基因型歧视.
研究的目的:
- 确定煮土豆接受和采用的优先质量特征.
- 评估仪器方法的潜力,特别是近红外光谱 (NIRS),用于预测土豆的感觉属性.
- 将最终用户的偏好纳入土豆育种计划,以改善品种发展.
主要方法:
- 利用G+工具评估性别和生计对优先土豆质量特征的影响.
- 采用标准的纹理探针来测量煮熟土豆基因型的纹理参数 (透).
- 应用近红外光谱学 (NIRS) 来评估颜色,颜色均性,水分含量和纹理均性.
主要成果:
- 通过性别和生计评估,确定了影响煮土豆接受和收养的优先特征.
- 仪器纹理参数 (透力和面积) 与可破裂性和口感硬度等感觉属性有显著的相关性.
- 近红外光谱学 (NIRS) 证明了预测煮的土豆的黄色颜色 (r2=0.70),颜色均性 (r2=0.48),水分含量 (r2=0.40) 和纹理均性 (r2=0.56) 的潜力.
结论:
- 首选的煮土豆特征可以成功地融入土豆育种计划和产品配置文件.
- 近红外光谱学 (NIRS) 显示了预测土豆颜色和某些纹理属性的显著潜力,促进了育种选.
- 这些发现支持使用NIRS作为客观评估土豆质量与消费者偏好相关的工具.
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