Assessment of molecular diversity in doubled haploid lines of camelina (<i>Camelina sativa</i>(L.) Crantz), as a new emerging oil crop

Sadeghikian, Mozafar; Najaphy, Abdollah; Kahrizi, Danial; Amadvandi, Hossein Rostami

doi:10.1017/s1479262123000114

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…In addition, it has recently been shown that hybrids between winter and spring forms of C. sativa will have an intermediate phenotype with prolonged vegetation cycle (terms are intermediate between those of the parental genotypes) and often do not require vernalization ( Chaudhary, 2021 ). Crossing genetically distant varieties or obtaining doubled haploid lines from hybrids can be an additional considerable option to increase C. sativa genetic diversity ( Zelt and Schoen, 2016 ; Sadeghikian et al., 2022 ).…”

Section: Higher Genetic Diversity Among Wild Camelina ...mentioning

confidence: 99%

Overcoming genetic paucity of Camelina sativa: possibilities for interspecific hybridization conditioned by the genus evolution pathway

Blume,

Kalendar,

Guo

et al. 2023

Front. Plant Sci.

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Camelina or false flax (Camelina sativa) is an emerging oilseed crop and a feedstock for biofuel production. This species is believed to originate from Western Asian and Eastern European regions, where the center of diversity of the Camelina genus is located. Cultivated Camelina species arose via a series of polyploidization events, serving as bottlenecks narrowing genetic diversity of the species. The genetic paucity of C. sativa is foreseen as the most crucial limitation for successful breeding and improvement of this crop. A potential solution to this challenge could be gene introgression from Camelina wild species or from resynthesized allohexaploid C. sativa. However, both approaches would require a complete comprehension of the evolutionary trajectories that led to the C. sativa origin. Although there are some studies discussing the origin and evolution of Camelina hexaploid species, final conclusions have not been made yet. Here, we propose the most complete integrated evolutionary model for the Camelina genus based on the most recently described findings, which enables efficient improvement of C. sativa via the interspecific hybridization with its wild relatives. We also discuss issues of interspecific and intergeneric hybridization, aimed on improving C. sativa and overcoming the genetic paucity of this crop. The proposed comprehensive evolutionary model of Camelina species indicates that a newly described species Camelina neglecta has a key role in origin of tetra- and hexaploids, all of which have two C. neglecta-based subgenomes. Understanding of species evolution within the Camelina genus provides insights into further research on C. sativa improvements via gene introgression from wild species, and a potential resynthesis of this emerging oilseed crop.

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Section: Higher Genetic Diversity Among Wild Camelina ...mentioning

confidence: 99%

Overcoming genetic paucity of Camelina sativa: possibilities for interspecific hybridization conditioned by the genus evolution pathway

Blume,

Kalendar,

Guo

et al. 2023

Front. Plant Sci.

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“…Camelina can be cultivated in semi-arid and temperate regions as a winter-or springsown crop [4]. In recent years, camelina cultivation in Iran has been greatly welcomed and recommended as a suitable oilseed crop for cultivation in Iran's cold rain-fed regions in rotation with cereals [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

RSM and ANN Modeling of Camelina (Camelina sativa L. Crantz) Seed Yield as Affected by Nitrogen, Sulfur, Cow Manure, and Row Spacing

Yari,

Rokhzadi,

Shamsi

et al. 2024

Horticulturae

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Camelina [Camelina sativa (L.) Crantz] is an annual versatile oilseed crop of the Brassicaceae family, with an increasingly cultivated area. Predicting camelina seed yield response to fertilization and planting density is of great importance in understanding production potential and management planning. Therefore, the current study aimed to estimate the seed yield of camelina by response surface methodology (RSM) and artificial neural network (ANN) as affected by different levels of planting row spacing and nitrogen (N), sulfur (S), and cow manure (CM) fertilization. The experiment was conducted in two growing years of 2019–2020 and 2020–2021, based on a central composite design with four factors including row spacing (15–35 cm), N (0–200 kg ha−1), S (0–100 kg ha−1), and CM (0–40 t ha−1). The RSM models for seed yield versus fertilization and row spacing factors in both years were statistically significant and had an acceptable predictive ability. Camelina seed yield decreased with increasing row spacing but showed a positive response to increasing the amount of N, S, and CM fertilizers. Comparing the performance of the models showed that, although the RSM models were significant and had the necessary efficiency in predicting camelina seed yield, the ANN models were more accurate. The performance criteria of coefficient of determination (R2), root mean square error (RMSE), standard error of prediction (SEP), mean absolute error (MAE), and Akaike information criterion (AICc) averaged over the two years for the RSM model were 0.924, 51.60, 5.51, 41.14, and 394.05, respectively, and for the ANN model were 0.968, 32.62, 3.54, 19.55, and 351.33, respectively. Based on the results, the ANN modeling can be used in predicting camelina seed yield in field conditions with more confidence than the RSM technique.

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Assessment of molecular diversity in doubled haploid lines of camelina (Camelina sativa(L.) Crantz), as a new emerging oil crop

Cited by 2 publications

References 18 publications

Overcoming genetic paucity of Camelina sativa: possibilities for interspecific hybridization conditioned by the genus evolution pathway

Overcoming genetic paucity of Camelina sativa: possibilities for interspecific hybridization conditioned by the genus evolution pathway

RSM and ANN Modeling of Camelina (Camelina sativa L. Crantz) Seed Yield as Affected by Nitrogen, Sulfur, Cow Manure, and Row Spacing

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