Tissue-dependent seasonal variation and predictive models of strawberry firmness
Tissue-dependent seasonal variation and predictive models of strawberry firmness
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草莓硬度的组织依赖性季节变化和预测模型
DOI：
10.1016/j.scienta.2022.111535
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发表时间：
2023
影响因子：
4.3
通讯作者：
Kirimura Masaaki
中科院分区：
文献类型：
--
作者：
Zushi Kazufumi;Yamamoto Miyu;Matsuura Momoka;Tsutsuki Kan;Yonehana Asumi;Imamura Ren;Takahashi Hiromi;Kirimura Masaaki
坚实度是草莓的一个重要品质因素。我们研究了草莓表皮、皮层和髓组织中硬度的组织相关季节变化，并利用环境条件和水果特性开发了草莓硬度季节性变化的统计预测模型。试验在三个地点(A、B、C)进行，从冬季(12月)到春季(5月)在不同的收获季节进行了2年的试验。果实性状，包括总可溶性固形物(TSS)、酸度和果实表面颜色在接近季节结束时(从冬季到春季)呈下降趋势，其中4月和5月采收的果实在所有研究地点的值最低。同样，所有研究地点的表皮坚固度在赛季末都下降了0.73倍。A部位的皮质硬度在季末显著下降0.64倍，而B和C部位的硬度保持在恒定水平。12月份采收的果实果髓坚实度往往高于其他月份。我们使用逐步多元线性回归分析对训练数据集进行测试，以构建坚固性的统计预测模型。利用采收前几天的日平均环境条件和水果特性(包括果实重量、颜色和TSS)的输入数据，调整后的平方相关系数表明，模型的拟合度为0.47-0.54。此外，在预测值和实际值之间的回归分析中，预测模型表现出准确的高性能和低的预测误差(相对均方根误差为0.06)。因此，我们得出结论，草莓硬度在表皮和髓组织中显示出季节性变化，并且它们的预测模型具有足够的准确性和有效性，而不需要耗时、昂贵的测量设备。
Firmness is an important quality factor in strawberries. We investigated the tissue-dependent seasonal variation in strawberry firmness in epidermis, cortex, and pith tissues, and also developed statistical predictive models for the seasonal changes in firmness using environmental conditions and fruit properties. The experiment was conducted at three locations (sites A, B, and C) and in different harvesting seasons from winter (December) to spring (May) during 2 years. The fruit properties, including the total soluble solids (TSS), acidity, and fruit surface color decreased toward the end of the season (from winter to spring), with fruit harvested in April and May having the lowest values at all research sites. Similarly, the epidermis firmness decreased 0.73-fold toward the end of the season at all the research sites. The cortex firmness of site A showed a marked decrease of 0.64-fold toward the end of the season, but that of sites B and C remained at constant levels. The pith firmness tended to be higher for fruit harvested in December than in other months. We tested the training dataset using the stepwise multiple linear regression analysis to construct the statistical predictive models of firmness. The goodness-of-fit of the firmness predictive models, shown by the adjusted square correlation coefficient, was 0.47–0.54 in the model using the input data for daily mean environmental conditions several days before harvest as well as fruit properties, including fruit weight, color, and TSS. Additionally, in the regression analysis between predicted and actual values, the predictive models demonstrated accurate high performance with a low predictive error (0.06 as relative root mean square error). Thus, we concluded that strawberry firmness shows seasonal variation within the epidermis and pith tissues, and that their predictive models were of adequate accuracy and usefulness without the need for time-consuming, costly measurement equipment.
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影响因子：
3.3
作者：
Pelayo-Zaldívar, C;Ebeler, SE;Kader, AA
通讯作者：
Kader, AA
草莓果实硬度的测试方法
DOI：
--
发表时间：
2005
期刊：
影响因子：
--
作者：
A. Døving;F. Måge;S. Vestrheim
通讯作者：
S. Vestrheim
亏缺灌溉对草莓（Fragaria × ananassa Duch.）果实品质的影响。
影响因子：
4.1
作者：
N. Weber;V. Zupanc;J. Jakopič;R. Veberič;M. Mikulič;F. Stampar
通讯作者：
F. Stampar
影响因子：
7.7
作者：
Dorais, Martine;Ehret, David L.;Papadopoulos, Athanasios P.
通讯作者：
Papadopoulos, Athanasios P.
影响因子：
3.7
作者：
Agehara, Shinsuke;Nunes, Maria Cecilia do Nascimento
通讯作者：
Nunes, Maria Cecilia do Nascimento