Phenotyping new rapeseed lines based on multiple traits: Application of GT and GYT biplot analyses.

Autor: Gholizadeh, Amir1 (AUTHOR), Oghan, Hassan Amiri2 (AUTHOR) amirioghan2014@gmail.com, Alizadeh, Bahram2 (AUTHOR), Rameeh, Valiollah3 (AUTHOR), Payghamzadeh, Kamal1 (AUTHOR), Bakhshi, Behnam4 (AUTHOR), Dalili, Seyed Alireza5 (AUTHOR), Kia, Shahriar1 (AUTHOR), Shariati, Farnaz2 (AUTHOR)
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Zdroj: Food Science & Nutrition. Feb2023, Vol. 11 Issue 2, p853-862. 10p.
Abstrakt: The selection based on multiple traits enhances the crop cultivars merit to farmers. In this regard, 19 breeding lines as well as two commercial cultivars were studied using a randomized complete block design (RCBD) with three replications in three locations during the 2020–2021 growing season. In this study, to identify the association among different traits and to select the best rapeseed lines based on multiple traits, genotype × trait (GT) and genotype × yield × trait (GYT) biplot analyses were used. The results showed that using GYT biplot is more efficient than GT biplot. Based on the GYT biplot and superiority index (SI), the breeding lines G16 and G18 were considered as superior genotypes in combination with the agronomical traits, that is, 1000‐seed weight, number of seeds per pod, number of pods per plant, number of lateral branches, plant height, and pod length with seed yield, which represents a genetic gain in rapeseed breeding program. Based on seed yield combination with phenological traits (early maturity), the breeding line G15 was selected as the best one. Moreover, the line G2 was defined as the superior one in combination of seed yield with pod length. The results indicated that there is a potential for simultaneous genetic improvement of the characteristics (i.e., plant height, number of seeds per pod, early maturity) in rapeseed. Generally, the graphical method of the GYT biplot represented an efficient and practical new way to recognize superior genotypes based on multiple traits in rapeseed breeding programs. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE
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