基于生理指标的茄子采集样品评价及一次供体选择

Aladdin Gismat Eyvazov
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摘要

本文介绍了2016年至2018年期间进行的生物形态学评估的结果,重点研究了来自阿塞拜疆共和国阿布歇隆半岛不同地理来源的105个茄子采集样本。此外,其中59份样本进行了基于生理指标的评估。该研究将茄子样品根据成熟时间分为三组:季中(81 ~ 100天)- 24.9%,季中(101 ~ 120天)- 56.2%,季末(121 ~ 148天)- 21.9%。每个组都确定了特定的茄子品种。组I(81-90天)包括140/A、69/B、141、142、152和162,组II(101-102天)包括137、140/B、149/A、149、149-199、213、232、239、242和243。第三组(121 ~ 124天)为晚熟品种。部分品种在叶面积、光合势、叶片叶绿素含量、绝对叶面密度、总干湿生物量等方面存在差异。这些特征使它们成为未来育种工作中有价值的主要候选者,以提高生产力和适应性为目标。该研究还提出了实现茄子高产(290 ~ 800 q/ha)的光合指标的最佳模型。
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Evaluating Eggplant Collection Samples and Selecting Primary Donors Based on Physiological Indicators
The article presents the findings of a biomorphological evaluation conducted between 2016 and 2018, focusing on 105 eggplant collection samples sourced from different geographical origins on the Absheron Peninsula in the Republic of Azerbaijan. Additionally, 59 of these samples underwent evaluation based on physiological indicators. The research categorized the eggplant samples into three groups based on their ripening time: mid- season (81-100 days) - 24.9%, mid-late-season (101-120 days) - 56.2%, and late-season (121-148 days) - 21.9%. Specific eggplant varieties were identified for each group. Group I (81-90 days) included representatives 140/A, 69/B, 141, 142, 152, and 162, while Group II (101-102 days) comprised samples 137, 140/B, 149/A, 149, 149-199, 213, 232, 239, 242, and 243. Group III (121-124 days) consisted of varieties exhibiting late-ripening characteristics. Some varieties within the collection showed variations in leaf area, photosynthetic potential, chlorophyll content in leaves, absolute leaf surface density, total wet and dry biomass. These characteristics make them valuable primary candidates for future breeding efforts, targeting enhanced productivity and adaptability. The study also suggested an optimal model for photosynthetic indicators to achieve high eggplant yields (ranging from 290 to 800 q/ha).
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