Open Access
Volume 30, 2023
Article Number 2
Number of page(s) 10
Published online 05 January 2023
  • Abdolinasab M, Rahimi M, Karatas A, Ercisli S. 2020. Sequential path analysis and relationships between fruit yield in watermelon. Pakistan Journal of Agricultural Sciences 57: 1425–1430. [Google Scholar]
  • Anderson JV, Horvath DP, Doğramaci M, et al. 2018. Expression of FLOWERING LOCUS C and a frameshift mutation of this gene on chromosome 20 differentiate a summer and winter annual biotype of Camelina sativa. Plant Direct 2: 1–14. [CrossRef] [Google Scholar]
  • Angelini LG, Abou Chehade L, Foschi L, Tavarini S. 2020. Performance and potentiality of camelina (Camelina sativa L. Crantz) genotypes in response to sowing date under Mediterranean environment. Agronomy 10: 1929. [Google Scholar]
  • Asghari-Zakaria R, Fathi M, Hasan-Panah D. 2007. Sequential path analysis of yield components in potato. Potato Research 49: 273–279. [CrossRef] [Google Scholar]
  • Berti M, Gesch R, Eynck C, Anderson J, Cermak S. 2016. Camelina uses, genetics, genomics, production, and management. Industrial Crops and Products 94: 690–710. [CrossRef] [Google Scholar]
  • Berti M, Wilckens R, Fischer S, Solis A, Johnson B. 2011. Seeding date influence on camelina seed yield, yield components, and oil content in Chile. Industrial Crops and Products 34: 1358–1365. [CrossRef] [Google Scholar]
  • Bouchet A-S., Laperche A, Bissuel-Belaygue C, Snowdon R, Nesi N, Stahl A. 2016. Nitrogen use efficiency in rapeseed. A review. Agronomy for Sustainable Development 36: 1–20. [CrossRef] [Google Scholar]
  • Bujnovský R, Holíčková M, Ondrejíčková P. 2020. Spring Camelina sativa − Perspective cultivation as biofuel feedstock in Slovakia. Industrial Crops and Products 154: 112634. [CrossRef] [Google Scholar]
  • Cunniff P, Washington D. 1997. Official methods of analysis of aoac international. J AOAC Int 80: 127A. [CrossRef] [Google Scholar]
  • Dalkani M, Darvishzadeh R, Hassani A. 2011. Correlation and sequential path analysis in Ajowan (Carum copticum L.). Journal of Medicinal Plants Research 5: 211–216. [Google Scholar]
  • Darapuneni MK, Morgan GD, Ibrahim AMH, Duncan RW. 2014. Association of flax seed yield and its components in Southeast Texas using path coefficient and biplot analyses. Journal of Crop Improvement 28: 1–16. [CrossRef] [Google Scholar]
  • Davis PH. 1970. Flora of Turkey and the East Aegean Islands. Vol. 3. Edinburgh University Press. [Google Scholar]
  • del Moral LFG, Rharrabti Y, Elhani S, Martos V, Royo C. 2005. Yield formation in mediterranean durum wheats under two contrasting water regimes based on path-coefficient analysis. Euphytica 146: 203–212. [CrossRef] [Google Scholar]
  • Fan J, McConkey B, Janzen H, Townley-Smith L, Wang H. 2017. Harvest index-yield relationship for estimating crop residue in cold continental climates. Field Crops Research 204: 153–157. [CrossRef] [Google Scholar]
  • Feyzian E, Dehghani H, Rezaei A, Jalali M. 2009. Correlation and sequential path model for some yield-related traits in melon (Cucumis melo L.). Journal of Agricultural Science and Technology 11: 341–353. [Google Scholar]
  • Gehringer A, Friedt W, Lühs W, Snowdon R. 2006. Genetic mapping of agronomic traits in false flax (Camelina sativa subsp. sativa). Genome 49: 1555–1563. [CrossRef] [PubMed] [Google Scholar]
  • Gill M, Narang R. 1993. Yield analysis in gobhi sarson (Brassica napus subsp Oleifera var Annua) to irrigation and nitrogen. Indian Journal of Agronomy 38: 257–265. [Google Scholar]
  • Göre M. 2015. A research to establish effects of explant sources and plant growth regulators on camelina [Camelina sativa (L.) crantz] tiller and plant induction. MS.c thesis. Ondokuz Mayıs University, Institute of Science. [Google Scholar]
  • Günç Ergönül P, Aksoylu Özbek Z. 2020. Cold pressed camelina (Camelina sativa L.) seed oil. In: Green technology, bioactive compounds, functionality, and applications. Elsevier. [Google Scholar]
  • Guy SO, Wysocki DJ, Schillinger WF, et al. 2014. Camelina: adaptation and performance of genotypes. Field Crops Research 155: 224–232. [CrossRef] [Google Scholar]
  • Hair JF, Anderson RE, Tatham RL, Black WC. 1984. Multivariate data analysis with readings, 1995. Tulsa, OK: Petroleum Publishing. [Google Scholar]
  • Hossain Z, Johnson EN, Wang L, Blackshaw RE, Cutforth H, Gan Y. 2019. Plant establishment, yield and yield components of Brassicaceae oilseeds as potential biofuel feedstock. Industrial Crops and Products 141: 111800. [CrossRef] [Google Scholar]
  • Jewett FG. 2013. Camelina variety performance for yield, yield components and oil characteristics. MS.c. Colorado State University. [Google Scholar]
  • Jiang Y, Li J, Caldwell CD. 2016. Glucosinolate content of camelina genotypes as affected by applied nitrogen and sulphur. Crop Science 56: 3250–3262. [CrossRef] [Google Scholar]
  • Kagale S, Koh C, Nixon J, et al. 2014. The emerging biofuel crop Camelina sativa retains a highly undifferentiated hexaploid genome structure. Nature Communications 5: 1–11. [CrossRef] [Google Scholar]
  • Katar D, Arslan Y, Subaşi İ. 2012. Genotypic variations on yield, yield components and oil quality in some Camelina (Camelina sativa (L.) Crantz) genotypes. Turkish Journal of Field Crops 17: 105–110. [Google Scholar]
  • Kinay A, Yilmaz G, Ayisigi S, Dokulen S. 2019. Yield and quality parameters of winter and summer-sown different camelina (Camelina sativa L.) genotypes. Turkish Journal of Field Crops 24: 164–169. [Google Scholar]
  • Kozak M, Azevedo RA. 2014. Sequential path analysis: what does “sequential” mean? Scientia Agricola 71: 525–527. [CrossRef] [Google Scholar]
  • Kurt O, Göre M. 2020. Effects of sowing date and genotype on oil content and main fatty acid composition in camelina [Camelina sativa L. (Crantz)]. Turkish Journal of Field Crops 25: 227–235. [Google Scholar]
  • Leclère M, Lorent A-R., Jeuffroy M-H., Butier A, Chatain C, Loyce C. 2021. Diagnosis of camelina seed yield and quality across an on-farm experimental network. European Journal of Agronomy 122: 126190. [CrossRef] [Google Scholar]
  • Lohaus RH, Neupane D, Mengistu MA, Solomon JKQ, Cushman JC. 2020. Five-year field trial of eight Camelina sativa cultivars for biomass to be used in biofuel under irrigated conditions in a semi-arid climate. Agronomy 10: 562. [CrossRef] [Google Scholar]
  • Maleki HH, Karimzadeh G, Darvishzadeh R, Sarrafi A. 2011. Correlation and sequential path analysis of some agronomic traits in tobacco (Nicotiana tabaccum L.) to improve dry leaf yield. Australian Journal of Crop Science 5: 1644–1648. [Google Scholar]
  • Manca A, Pecchia P, Mapelli S, Masella P, Galasso I. 2013. Evaluation of genetic diversity in a Camelina sativa (L.) Crantz collection using microsatellite markers and biochemical traits. Genetic Resources and Crop Evolution 60: 1223–1236. [CrossRef] [Google Scholar]
  • Mansfield ER, Helms BP. 1982. Detecting multicollinearity. The American Statistician 36: 158–160. [Google Scholar]
  • Mohammadi S, Prasanna B, Singh N. 2003. Sequential path model for determining interrelationships among grain yield and related characters in maize. Crop Science 43: 1690–1697. [CrossRef] [Google Scholar]
  • Murphy EJ. 2016. Camelina (Camelina sativa). In: McKeon TA, Hayes DG, Hildebrand DF, Weselake RJ, eds. Industrial oil crops. Elsevier. [Google Scholar]
  • Neupane D, Solomon JK, Mclennon E, Davison J, Lawry T. 2020. Camelina production parameters response to different irrigation regimes. Industrial Crops and Products 148: 112286. [CrossRef] [Google Scholar]
  • Neupane D, Solomon JKQ, Davison J, Lawry T. 2018. Nitrogen source and rate effects on grain and potential biodiesel production of camelina in the semiarid environment of northern Nevada. GCB Bioenergy 10: 861–876. [CrossRef] [Google Scholar]
  • Obeng E, Obour AK, Nelson NO, et al. 2019. Seed yield and oil quality as affected by camelina cultivar and planting date. Journal of Crop Improvement 33: 202–222. [CrossRef] [Google Scholar]
  • Obour AK, Obeng E, Mohammed YA, et al. 2017. Camelina seed yield and fatty acids as influenced by genotype and environment. Agronomy Journal 109: 947–956. [CrossRef] [Google Scholar]
  • Samonte SPB, Wilson L, McClung A. 1998. Path analyses of yield and yield-related traits of fifteen diverse rice genotypes. Crop Science 38: 1130–1136. [CrossRef] [Google Scholar]
  • Righini D, Zanetti F, Martínez-Force E, Mandrioli M, Toschi TG, Monti A. 2019. Shifting sowing of camelina from spring to autumn enhances the oil quality for bio-based applications in response to temperature and seed carbon stock. Industrial Crops and Products 137: 66–73. [CrossRef] [Google Scholar]
  • Singh R, Bollina V, Higgins EE, et al. 2015. Single-nucleotide polymorphism identification and genotyping in Camelina sativa. Molecular Breeding 35: 1–13. [CrossRef] [Google Scholar]
  • Tuncturk M, Ciftci V. 2005. Selection criteria for potato (Solanum tuberosum L.) breeding. Asian Journal of Plant Sciences 4: 27–30. [Google Scholar]
  • Vollmann J, Moritz T, Kargl C, Baumgartner S, Wagentristl H. 2007. Agronomic evaluation of camelina genotypes selected for seed quality characteristics. Industrial Crops and Products 26: 270–277. [CrossRef] [Google Scholar]
  • Zanetti F, Alberghini B, Marjanović Jeromela A, et al. 2021. Camelina, an ancient oilseed crop actively contributing to the rural renaissance in Europe. A review. Agronomy for Sustainable Development 41: 1–18. [CrossRef] [Google Scholar]
  • Zanetti F, Eynck C, Christou M, et al. 2017. Agronomic performance and seed quality attributes of Camelina (Camelina sativa L. crantz) in multi-environment trials across Europe and Canada. Industrial Crops and Products 107: 602–608. [CrossRef] [Google Scholar]
  • Zanetti F, Gesch RW, Walia MK, Johnson JMF, Monti A. 2020. Winter camelina root characteristics and yield performance under contrasting environmental conditions. Field Crops Research 252. [Google Scholar]
  • Zubr J. 1997. Oil-seed crop: Camelina sativa. Industrial Crops and Products 6: 113–119. [CrossRef] [Google Scholar]

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