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在葡萄品种Arinto中对非生物应激耐受性特征的品种内变异性

Luisa C Carvalho¹, Teresa Pinto², Joaquim Miguel Costa¹

¹LEAF-Linking Landscape, Environment, Agriculture and Food, Associate Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal.

Plants (Basel, Switzerland)

|August 28, 2025

概括

这项研究使用叶面温度 (SLT) 确定了耐干旱和热应激的葡萄克隆. 选择的阿林托克隆保持了产量和质量,为适应气候的葡萄种植提供了战略.

科学领域:

葡萄种植和植物育种
植物生理学
适应气候变化

背景情况:

葡萄藤 (Vitis vinifera) 选择传统上侧重于产量和果汁质量,但气候变化需要评估对非生物应激的耐受性.
对于了解对环境挑战的差异性反应至关重要.
葡萄树的遗传多样性如何影响对干旱和热等非生物应激的反应的数据有限.

研究的目的:

评估Arinto白葡萄品种在产量,果汁质量和非生物应激耐受性方面的种类内遗传变异性.
引入和验证一种创新的,非破坏性的实地方法来选择耐压的葡萄品种基因型.
确定特定的阿林托克隆,在保持理想的农业和酒特征的同时,对干旱和热量具有更强的耐受性.

主要方法:

在干旱和炎热条件下对165个Arinto克隆进行实地评估.
测量叶面温度 (SLT),NDVI,PRI,SPAD指数 (叶绿素),产量和果汁参数 (pH,酸度,°Brix).
应用线性混合模型来估计基因型影响 (EBLUP),基因型变异 (CVG) 和广义遗传性.

主要成果:

表面叶温度 (SLT) 已被证明是口腔调节的强有力的指标,并且与压力下的产量呈正相关性.
基因型排名确定了具有卓越的非生物应激耐受性的克隆,而不会影响产量或典型的阿林托果汁质量.
与品种平均值相比,十种Arinto克隆品种因其较高的应力耐受性而被选中,证明了该方法的成功应用.

结论:

在大型实地试验中,表面叶温度 (SLT) 是一种可靠和有效的工具来评估葡萄藤的应力耐受性.
这项研究成功地发现了对气候变化引起的非生物压力有更好的抗性.
这种方法为旨在发展气候智能葡萄种植的葡萄品种计划提供了有价值的策略.

关键词:

SLT (表面叶子温度)经验最好的线性无偏预测 (基因型效应的EBLUP)多克隆选择果汁的质量收益率

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