ABSTRACT
Sunflower is an important oilseed crop due to its health related values. Induced mutations are often used to create new genetic variability where sufficient variation does not exist naturally as in the case of sunflower. This study was carried out at the laboratory and research farm of the Institute for Agricultural Research (IAR), Samaru, Zaria to assess the response of the sunflower seeds to different EMS doses and determine optimal doses for successful mutation; estimate genetic variability for agronomic traits among the M2 mutant lines and identify some desirable mutants for oil content and other agronomic traits; assess the degree of association among oil content, grain yield and other agronomic traits and assess the degree of similarity among the selected mutants. Two sunflower varieties (SAMSUN2 and SAMSUN4) obtained from Institute of Agricultural Research were treated with EMS concentrations of 0.1, 0.2, 0.3, 1.0 and 1.5% for 2, 4, 6 and 8 hrs with controls to ascertain optimum EMS concentration and exposure time to bring about desirable mutation. The laboratory study showed progressive decrease in seed germination as EMS concentration and exposure durations were increased. Optimum doses were observed at 0.1% EMS for 6 hrs, 0.2% EMS for 4 hrs, 0.2% EMS for 6 hrs, 0.3% EMS for 4 hrs and 0.3% EMS for 6 hrs for the two varieties out of which 0.2% EMS for 4 hrs, 0.2% EMS for 6 hrs, 0.3% EMS for 4 hrs and 0.3% EMS for 6 hrs were chosen to generate M1 population in the research farm. A total of 78 M1 plants with substantial seed set were used to raise M2 population in progeny rows. Surviving 418 mutant progenies as well as two checks were evaluated for desired agronomic traits in M2 generation using 16 x 5 lattices design with two replications. The analysis of variance for agronomic traits revealed significant (P<0.05) differences amongst the mutants progenies. Sixty (60) mutants professing higher seed yield per plant (11 – 23 g) were evaluated for oil content. The correlation study showed that grain yield per plant was significantly correlated with plant height (r = 0.68), stem diameter (r = 0.61), capitulum circumference (r = 0.72) and 100 seed weight (r = 0.81). Cluster analysis grouped the selected 60 mutants into four clusters with clusters I, II, III and IV consisting of 19, 4, 26 and 11 mutants, respectively, implying that crossing of mutants from these different clusters could enhance more variability for desirable traits for improvement. The present study identifies mutants T8M11-1-2, T4M18-3-1, T2M6-1-1, T8M11-4-1 and T8M23-1-2 as being superior for oil content (45%), stem diameter (4 cm), capitulum circumference (38 cm), seed weight (13 g) and seed yield per plant (26 g) respectively. Their inclusion in future breeding programs could result in the development of superior sunflower cultivars and as such, should be further evaluated in subsequent generations to stabilize the traits
CHAPTER ONE
1.0 Introduction
Cultivated sunflower (Helianthus annuus L.) is an annual, herbaceous (2n=34) and a cross pollinated crop, native to North America. It is a member of the Asteraceae family and it is regarded as the fourth most important oilseed crop grown worldwide after soya beans, palm and edible rapeseed (canola) (Moghaddasi, 2011; Sujatha et al., 2012). Sunflower is cultivated on about 18 million hectares worldwide with an annual seed production of 40 million tons (FAOSTAT, 2015). Its seeds are known for their high oil (25 – 48%) and protein (23 – 35%) content and thus used in confectionary and animal feed (Imran et al., 2015). It is used as an ornamental plant due to the attractiveness of its flower (Mayor et al., 2010). Sunflower seeds have abundant health benefits which can be attributed to the high levels of polyunsaturated and monounsaturated fats, phytosterols, tocopherols, protein, copper, folates, iron, zinc, and vitamin B (Nandha et al., 2014; Roche et al., 2010). Its oil is used as raw materials in many industries due to the presence of four commercially important fatty acids namely, palmitic, stearic, oleic, and linoleic acids (Lee et al., 2010).
Gene variability within a species enables the development of new improved varieties with improved characteristics. Therefore, the success of genetic improvement of sunflower depends on the magnitude of genetic variability which enables the selection of desirable genotypes for breeding purpose (Cvejic et al., 2011). In addition, realizing the need for the imperativeness of low-input agriculture being proffered for the 21st century, farmers require a suite of improved crop varieties that are genetically diverse in terms of climate change resilience, input use-efficiency, high yielding potential, resistance to biotic and abiotic stresses, enhanced nutritional
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and other important quality attributes (Tester and Langridge, 2010; Waines and Ehdaie, 2007). However, the envisaged genetically diverse portfolios of sunflower crop varieties are often unavailable to farmers due to its extreme narrow genetic base (Seiler and Frederick, 2011). This makes its improvement through conventional breeding method alone difficult. In view of this, the induction of genetic variability for sunflower crop, particularly in the era of increasing global food crisis and changing climatic regimes is, therefore, highly desirable.
Mutagenesis is an important tool in plant breeding for increasing genetic variability and consequently, broadening the genetic base of germplasms (Ndou et al., 2013). Spontaneous mutations occur naturally in crops but, its rate is low and cannot always be exploited for breeding, thus the need for induced mutagenesis (Jain and Suprasanna, 2011). Mutations in plants can be induced using chemical or physical mutagens and the effectiveness and efficiency of any induced mutagenesis experiment are direct results of the choice of appropriate mutagen treatments (Rupinder and Kole, 2005).
Almost all mutagens have the property of reacting with DNA and thereby bringing about changes in nucleotide sequences. However, the mode of action of each mutagen is distinct. Besides, a mutagen may effectively bring about mutations, but the accompanying undesirable effects like lethality or sterility may decrease its efficiency (Shagufta et al, 2013). Thus, in order to exploit induced mutagenesis for crop improvement, a preliminary determination of the treatment that would yield the greatest amount of desirable mutation while at the same time, producing the least density of undesirable effects is necessary (Xin et al., 2008; Mba et al., 2010). Chemical mutagens as compared with physical mutagens offer high mutation rate and predominantly, point mutations (Cvejic et al., 2011). Among chemical mutagens, ethyl methane
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sulfonate (EMS) is the most powerful and effective mutagen for creating mutations in plants (Cvejic et al., 2011).
Mutagenesis has become an important crop improvement tool available to breeders with no regulatory restrictions imposed as with genetically modified crops (Parry et al., 2009) with mutant varieties readily accepted by consumers. Sunflower mutants with altered agronomic traits have been created through the use of induced mutations amongst which includes; early maturing, short stature, larger head diameter, thinner husk, high oil content, cytoplasmic male sterile (CMS) lines and many more (Sabetta et al., 2011; Cvejic et al., 2015; Mostafa, 2011). Mutagenesis, in conjunction with conventional breeding methods could result in mutant varieties with desirable traits that can be used to broaden the genetic base of sunflower and to improve its various agro-morphologically important traits. There is paucity of information on the response of sunflower varieties developed by IAR, Samaru to different EMS doses, as well as, effective mutagen dose for induction of variability. The present study was focused on increasing the genetic variability within selected sunflower varieties using EMS and selecting mutants with important agro-morphological traits for further improvement. In view of these, the objectives of this study were to:
- assess the response of the sunflower varieties to different EMS doses and determine optimal EMS doses for desirable mutation
- estimate genetic variability for agronomic traits among M2 mutants and identify some desirable mutants for oil content and other agronomic traits
- assess the degree of association among oil content, grain yield and other agronomic traits
- assess the degree of similarity among the mutants for the studied agronomic traits.
This material content is developed to serve as a GUIDE for students to conduct academic research
GENETIC DIVERSITY OF M2 MUTANTS OF SUNFLOWER (HELIANTHUS ANNUS L INDUCED BY ETHYL- METHANESULPHONATE (EMS)>
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