Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-18T04:36:21.441Z Has data issue: false hasContentIssue false

Evaluation of quality traits and their genetic variation in global collections of Brassica napus L

Published online by Cambridge University Press:  27 May 2017

Biyun Chen
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
Kun Xu
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
Hao Li
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
Guizhen Gao
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
Guixin Yan
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
Jiangwei Qiao
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
Xiaoming Wu*
Affiliation:
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road No. 2, Wuhan 430062, China
*
*Corresponding author. E-mail: [email protected]

Abstract

Evaluating quality traits is important to the selection of elite lines in Brassica napus L. In this study, the quality traits of 488 global collections of B. napus L were evaluated for two consecutive years under central Chinese growing conditions, and a series of phenotypic data was obtained. The measured total glucosinolate content (GLC) and erucic acid content (ERU) values for 95.5% of the accessions were consistent with the original values, and large variations in quality traits were found among these accessions, thus enabling selection for these characters. In general, Chinese accessions tended to have a higher oil content (OC) than foreign accessions, while compared with winter and spring accessions, semi-winter accessions tended to have the highest OC. The mean GLC and ERU of Chinese rapeseed accessions showed gradual downward trends over time, and the genotypic variation in ERU accounted for 98.44% of the total variation, which was the highest among all 10 of the quality traits. Additionally, the heritability for ERU was largest among all 10 of the quality traits. Significant correlations were observed between different traits; OC had significantly (P < 0.01) negative correlation coefficients with oleic acid content, whereas OC had significantly (P < 0.01) positive correlation coefficients with ERU. Principal component analysis revealed that there was no clear boundary among materials of different geographic origins and different ecotypes according to the first two principal coordinates, respectively. This information about variations in quality traits revealed in this study could identify parents for improved rapeseed breeding.

Type
Research Article
Copyright
Copyright © NIAB 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abideen, SN, Nadeem, F and Abideen, SA (2013) Genetic variability and correlation studies in Brassica napus L. genotypes. International Journal of Innovation and Applied Studies 2: 574581.Google Scholar
Ahmad, S, Sadaqat, HA, Tahir, MHN and Awan, FS (2015) An insight in the genetic control and interrelationship of some quality traits in Brassica napus . Genetics and Molecular Research 14: 1794117950.CrossRefGoogle ScholarPubMed
Aytaç, Z and Kınacı, G (2009) Genetic variability and association studies of some quantitative characters in winter rapeseed (Brassica napus L.). African Journal of Biotechnology 8: 35473554.Google Scholar
Becker, HC, Löptien, H and Röbbelen, G (1999) Breeding: an overview. In: Gόmez-Campo, C (ed.) Biology of Brassica Coenospecies. Amsterdam: Elsevier, pp. 413460.CrossRefGoogle Scholar
Chen, BY, Xu, K, Li, J, Li, F, Qiao, JW, Li, H, Gao, GZ, Yan, GX and Wu, XM (2014) Evaluation of yield and agronomic traits and their genetic variation in 488 global collections of Brassica napus L. Genetic Resources and Crop Evolution 61: 979999.CrossRefGoogle Scholar
Dimov, Z and Mollers, C (2010) Genetic variation for saturated fatty acid content in a collection of European winter oilseed rape material (Brassica napus). Plant Breeding 129: 8286.CrossRefGoogle Scholar
Ecke, W, Clemens, R, Honsdorf, N and Becker, HC (2010) Extent and structure of linkage disequilibrium in canola quality winter rapeseed (Brassica napus L.). Theoretical and Applied Genetics 120: 921931.CrossRefGoogle ScholarPubMed
Fisher, RA (1924) The distribution of the partial correlation coefficient. Metron 3: 329332.Google Scholar
Friedt, W and Snowdon, RJ (2009) Oilseed rape. In: Vollmann, J and Rajcan, I (eds) Handbook of Plant Breeding. Oil Crops, vol. 4. New York: Springer, pp. 91126.Google Scholar
Gai, JY (2000) Experimentation Method. Beijing, China: China Agriculture Press.Google Scholar
Gunasekera, CP, Martin, LD, Siddique, KHM and Walton, GH (2006) Genotype by environment interactions of Indian mustard (Brassica juncea L.) and canola (B. napus L.) in Mediterranean-type environments. I. Crop growth and seed yield. European Journal of Agronomy 25: 112.CrossRefGoogle Scholar
Han, JX (1990) Genetic study on oil content in Brassica napus L. Oil Crops China 12: 16 (in Chinese with English abstract).Google Scholar
Islam, MS, Rahman, SL and Alam, MS (2009) Correlation and path coefficient analysis in fat and fatty acids of rapeseed and mustard. Bangladesh Journal of Agricultural Research 34: 247253.CrossRefGoogle Scholar
Khan, FA, Ali, S, Shakeel, A, Saeed, A and Abbas, G (2006) Genetic variability and genetic advance analysis for some morphological traits in (Brassica napus L.). Journal of Agriculture Research 44: 8387.Google Scholar
Khan, S, Farhatullah, , Khalil, IH, Munir, I, Khan, MY and Ali, N (2008) Genetic variability for morphological traits in F3:4 Brassica populations. Sarhad Journal of Agriculture 24: 217222.Google Scholar
Kimber, DS and McGregor, DI (1995) The species and their origin, cultivation and world production. In: Kimber, D and McGregor, DI (eds) Brassica Oilseeds: Production and Utilization. Wallingford: CABI Publishing, pp. 19.Google Scholar
Klassen, AJ (1976) Relationship between quality and quantity of oil in Brassica species. Plant Science 56: 427428.Google Scholar
Korber, N, Wittkop, B, Bus, A, Friedt, W, Snowdon, RJ and Stich, B (2012) Seedling development in a Brassica napus diversity set and its relationship to agronomic performance. Theoretical and Applied Genetics 125: 12751287.CrossRefGoogle Scholar
Krzymanski, J (1974) Rapeseed breeding for better oil and meal quality in Poland. In: Proceedings of the 4th International Rapeseed Conference, Giessen, Germany, pp. 4955.Google Scholar
Kumar, S (2013) Genetic analysis of oil content and quality parameters in Indian mustard (Brassica juncea (L.) Czern and Coss). Scholarly Journal of Agricultural Science 3: 299304.Google Scholar
Liu, XY (1981) Fatty acid content of Chinese rapeseed germplasm resource. Chinese Journal of Oil Crop Science 3: 3841.Google Scholar
Merk, HL, Yarnes, SC, Van Deynze, A, Tong, N, Menda, N, Mueller, LA, Mutschler, MA, Loewe, SA, Myers, JR and Francis, DM (2012) Trait diversity and potential for selection indices based on variation among regionally adapted processing tomato germplasm. Journal of the American Society for Horticultural Science 137: 427437.CrossRefGoogle Scholar
Mollers, C and Schierholt, A (2002) Genetic variation of palmitate and oil content in a winter oilseed rape doubled haploid population segregating for oleate content. Crop Science 42: 379384.CrossRefGoogle Scholar
Nath, UK, Wilmer, JA, Wallington, EJ, Becker, HC and Möllers, C (2009) Increasing erucic acid content through combination of endogenous low polyunsaturated fatty acids alleles with Ld-LPAAT + Bn-fae1 transgenes in rapeseed (Brassica napus L.). Theoretical and Applied Genetics 118: 765773.CrossRefGoogle ScholarPubMed
Pecetti, L, Annicchiarico, P and Damania, AB (1992) Biodiversity in a germplasm collection of durum wheat. Euphytica 60: 229238.CrossRefGoogle Scholar
Rohlf, FJ (1998) NTSYS-PC Numerical Taxonomy and Multivariate Analysis System. New York: Exeter Software.Google Scholar
Sneath, PHA and Sokal, RR (1973) Numerical Taxonomy: The Principles and Practices of Numerical Classification. San Francisco: W. F. Freeman and Co., p. 573.Google Scholar
SPSS Inc. (2007) SPSS Base 16.0 User's Guide. Chicago: SPSS Inc.Google Scholar
Stefansson, RR, Hougen, FW and Downey, RK (1961) Note on the isolation of rape plants with oil seed from erucic acid. Canadian Journal of Plant Science 41: 218219.CrossRefGoogle Scholar
Tonguc, M and Erbas, S (2012) Evaluation of fatty acid compositions and some seed characters of common wild plant species of Turkey. Turkish Journal of Agriculture and Forestry 36: 673679.Google Scholar
Wiedemann, SCC, Hansen, WG, Snieder, M and Wortel, VAL (1998) NIR calibration in practice. Analusis 26: 3842. doi: 10.1051/analusis:199826040038.CrossRefGoogle Scholar
Zhang, HP, Berger, JD and Milroy, P (2013) Genotype × environment interaction studies highlight the role of phenology in specific adaptation of canola (Brassica napus) to contrasting Mediterranean climates. Field Crops Research 144: 7788.CrossRefGoogle Scholar
Zhao, JY, Dimov, Z, Becker, HC, Ecke, W and Möllers, C (2008) Mapping QTL controlling fatty acid composition in a doubled haploid rapeseed population segregating for oil content. Molecular Breeding 21: 115125.CrossRefGoogle Scholar
Zhou, YM and Liu, HL (1987) Studies on the heritance of major fatty acid composition in the oil of rapeseed (Brassica napus L.). Acta Agronomic Sinica 13: 110.Google Scholar
Zhou, YM and Liu, HL (1989) Relationships between major quality traits in Brassica napus L. Journal of Huazhong Agricultural University 8: 97101.Google Scholar
Supplementary material: File

Chen supplementary material

Tables S1-S4 and Figures S1-S2

Download Chen supplementary material(File)
File 456.9 KB