Towards Better Grafting: SCoT and CDDP Analyses for Prediction of the Tomato Rootstocks Performance under Drought Stress

El-Mogy, Mohamed M.; Atia, Mohamed A.M.; Dhawi, Faten; Fouad, Ahmed S.; Bendary, Eslam S.A.; Khojah, Ebtihal; Samra, Bassem N.; Abdelgawad, Karima F.; Ibrahim, Mohamed Farag Mohamed; Abdeldaym, Emad A.;

Abstract


This study aims to predict the behavior of different tomato rootstocks under drought stress conditions. SCoT and CDDP analyses were employed to characterize the genetic relatedness among a commercial drought-sensitive tomato hybrid (cv. Bark) and four wild tomato accessions (LA2711, LA1995, LA3845, and LA4285) known for their tolerance to adverse conditions. The Bark plants were grafted onto the aforementioned wild accessions and self-grafted as control, and then the behavior of all graft unions was followed under normal and drought stress conditions. Our results showed a general genotype-dependent better growth and yield of heterografts than autografts under all growth conditions. Furthermore, clustering analysis based on growth, yield quantity and quality traits, and the leaf content of minerals, ABA, GA3, and proline, in addition to the activity of APX, POD, and DHAR reflected the same grouping pattern of the studied rootstocks exhibited by SCoT and CDDP. The identical grouping pattern supports the utilization of SCoT and CDDP as a robust screening tool helpful to predict the physiological and agronomical behavior of grafting on different tomato rootstocks. Furthermore, grafting could be a cost-efficient alternative method to improve drought tolerance in sensitive tomato genotypes.


Other data

Title Towards Better Grafting: SCoT and CDDP Analyses for Prediction of the Tomato Rootstocks Performance under Drought Stress
Authors El-Mogy, Mohamed M.; Atia, Mohamed A.M.; Dhawi, Faten; Fouad, Ahmed S.; Bendary, Eslam S.A.; Khojah, Ebtihal; Samra, Bassem N.; Abdelgawad, Karima F.; Ibrahim, Mohamed Farag Mohamed ; Abdeldaym, Emad A.
Keywords ABA | APX | DHAR | Fruit quality | GA3 | Plant growth | POD | Proline | Rootstocks | Solanum lycopersicum L | Yield
Issue Date 1-Jan-2022
Journal Agronomy 
ISSN 2073-4395
DOI 10.3390/agronomy12010153
Scopus ID 2-s2.0-85123706878

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