Identification of promising oilseed rape genotypes for the tropical regions of Iran using multivariate analysis

Bakhshi, B.; Amiri Oghan, H.; Alizadeh, B.; Rameeh, V.; Payghamzadeh, K.; Kiani, D.; Rabiee, M.; Rezaizad, A.; Shiresmaeili, G.; Dalili, A.; Kia, S.

doi:10.1101/2021.02.23.431199

bioRxiv · 10.1101/2021.02.23.431199

Identification of promising oilseed rape genotypes for the tropical regions of Iran using multivariate analysis

Bakhshi, B.·Amiri Oghan, H.·Alizadeh, B.·Rameeh, V.·Payghamzadeh, K.·Kiani, D.·Rabiee, M.·Rezaizad, A.·Shiresmaeili, G.·Dalili, A.·Kia, S.

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Abstract

producing new adapted oilseed rape cultivars among the available resources of rapeseed would be a valuable method to increase the cultivar diversity in the tropical regions. Low adaptable and high yield cultivars resources of oilseed rapes are now available in the tropical regions of Iran. The current study aimed to identify new high yield and adaptable genotypes adaptable across various tropical regions. To this end, 20 new genotypes and a check variety (Dalgan) were cultivated in the tropical regions of Iran based on a randomized complete block design (RCBD) with three replications during the 2019 to 2020 cropping season. The experimental sites are composed of five locations, including Gorgan, Sari, Rasht, Borazjan and Zabol. During the growth season, several phenological and quantitative traits were recorded. Combined ANOVA revealed significant genotype by environment interaction for all studied quantitative traits. Days to start flowering and days to end flowering showed the highest heritability. Correlation analysis showed a significant positive relationship between yield and flowering period, the number of sub-branches and also the number of pods per plant, but a negative and significant correlation with the days to maturity. Path analysis showed that the days to maturity had the most negative direct effect on yield and the days to start flowering, while the number of sub-branches had the most positive direct effect on yield. Canonical correlation showed that yield is correlated positively with phenological traits. The principal component analysis showed that the two first components covered 68.07% of all data variations which 12 genotypes were correlated with these two components. Cluster analysis categorized evaluated genotypes into three main groups. Finally, eight genotypes (from class 2 of the cluster) were selected in the current study, which had high yield and adaptability in the tropical regions of Iran.

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Bakhshi, B., Amiri Oghan, H., Alizadeh, B., Rameeh, V., Payghamzadeh, K., Kiani, D., Rabiee, M., Rezaizad, A., Shiresmaeili, G., Dalili, A., Kia, S.. 2021-02-23. Identification of promising oilseed rape genotypes for the tropical regions of Iran using multivariate analysis. https://doi.org/10.1101/2021.02.23.431199

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