Alexander Vanessa, Nilsen Kirby T, Joseph Sijo, Beta Trust, Malunga Lovemore Nkhata
Agriculture & Agri-Food Canada, Morden Research and Development Centre, Morden, Canada.
Richardson Centre for Food Technology and Research, University of Manitoba, Winnipeg, Canada.
J Sci Food Agric. 2025 Mar 30;105(5):3111-3121. doi: 10.1002/jsfa.14098. Epub 2025 Jan 6.
The relationship between oat grain composition and physical attributes as influenced by oat genotype and Canadian growing environments was investigated. Thirty Canadian oat (Avena sativa L.) genotypes, grown in three Canadian growing locations (Brandon, Manitoba; Portage la Prairie, Manitoba; and Lacombe, Alberta) over 2 consecutive years (2020-2021), were analyzed.
Analysis of variance showed that the protein, total starch, and amylose content were significantly affected by genotype, environment, and their interaction. A principal component analysis bi-plot illustrated that protein and total starch had an inverse relationship and were more affected by growing year, whereas amylose content had a negligible influence. The majority of genotypes were stable across environments but some genotypes, like CDC Morrison, were more influenced by different environments. Correlation analysis suggested that drought-like conditions early in the growing season generated oat genotypes that favored the accumulation of protein, β-glucan, and oil.
The results provide detailed information regarding the relationship between important oat chemical and physical traits and different growing environments, which can assist breeders to improve characteristics to obtain high-quality oat grains and thus high-quality end products. © 2025 His Majesty the King in Right of Canada and The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. Reproduced with the permission of the Minister of Agriculture and Agri-Food Canada.
研究了燕麦基因型和加拿大种植环境对燕麦籽粒成分与物理特性之间的关系。对连续两年(2020 - 2021年)在加拿大三个种植地点(曼尼托巴省布兰登市、曼尼托巴省大普雷里港和阿尔伯塔省拉康姆)种植的30个加拿大燕麦(Avena sativa L.)基因型进行了分析。
方差分析表明,蛋白质、总淀粉和直链淀粉含量受基因型、环境及其相互作用的显著影响。主成分分析双标图表明,蛋白质和总淀粉呈负相关,且受种植年份的影响更大,而直链淀粉含量的影响可忽略不计。大多数基因型在不同环境下表现稳定,但有些基因型,如CDC Morrison,受不同环境的影响更大。相关性分析表明,生长季节早期类似干旱的条件会产生有利于蛋白质、β-葡聚糖和油脂积累的燕麦基因型。
研究结果提供了有关重要燕麦化学和物理特性与不同种植环境之间关系的详细信息,这有助于育种者改善特性以获得高质量的燕麦籽粒,从而获得高质量的最终产品。© 2025加拿大女王陛下及作者。由John Wiley & Sons Ltd代表化学工业协会出版的《食品与农业科学杂志》。经加拿大农业和农业食品部部长许可转载。