Rapeseed / Colza
Open Access
Numéro
OCL
Volume 26, 2019
Rapeseed / Colza
Numéro d'article 35
Nombre de pages 9
DOI https://doi.org/10.1051/ocl/2019031
Publié en ligne 5 août 2019

© S. Channaoui et al., Published by EDP Sciences, 2019

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1 Introduction

Rapeseed (Brassica napus L.), an important oilseed crop, source of vegetable oil and protein-rich meal, is characterized by a substantially increased word production over the last 35 years, which currently reached six times the production recorded in 1980 (Wanasundara et al., 2016). In 2016, the overall production was around 69 million tons (FAOSTAT, 2018). Rapeseed oil is mainly used in human nutrition and biofuel production, whereas rapeseed de-oiled meal is used in animal feed. In general, rapeseed oil contains ∼7% saturated fatty acids (including palmitic acid and stearic acid), and high amounts of monounsaturated fatty acids with a significant fraction of oleic acid (∼61%). It also contains an important amount of polyunsaturated fatty acids with significant fraction of linoleic acid (∼11%) and α-linolenic acid (∼21%) (Sharafi et al., 2015).

In Morocco, as well as in other countries of Mediterranean area, rapeseed shows a good adaptation and has a great potential, as a promising oilseed crop that could play a role in improving the vegetable oils production in such countries. Thus, to enhance this production, there is a need to develop and release performant and adapted cultivars.

Available rapeseed germplasm naturally possesses limited genetic variability (Hasan et al., 2006; Bus et al., 2011). Consequently, conventional breeding methods are more and more restrictedly used to release the expected varieties (Tshilenge-Lukanda et al., 2013). The use of mutagenesis to induce novel genetic variability is an effective approach for those crops with narrow genetic base such as rapeseed (Parry et al., 2009). The main advantage of mutation breeding is the possibility of improving one or few characters without changing the rest of the genotype. In recent years, induced mutations have been extensively used for breeding annual oilseed crops (Spasibionek, 2006; Ferrie et al., 2008; Velasco et al., 2008; Emrani et al., 2015; Hussain et al., 2017). Mutagenesis has been also employed to improve a large number of desirable traits like as earliness, dwarfness, biotic and abiotic stress resistance or tolerance, seed yield and oil quality (Schnurbush et al., 2000; Parry et al., 2009; Ali and Shah, 2013; Lee et al., 2018).

Many mutagen agents, either chemical or physical, are available to create and obtain valuable mutations in crop plants. Each particular mutagen agent acts according to a different and specific mode that determines the nature of alteration in plant genetic background (Meinke et al., 1998). However, the biological effect of ionizing radiation like gamma rays depends primarily on the amount of energy that will be absorbed by the biological system for which the chromosomes are the most important target (Van Harten, 1998). Also, Ethyl Methane Sulphonate (EMS) is a chemical mutagen of the alkylating group and has been commonly used in plant breeding because it can cause high frequency of gene mutations and low frequency of chromosome aberration (Van Harten, 1998). Both gamma rays and EMS have been successfully used in rapeseed to evolve new varieties with improved economic traits (Rahman, 1990; Shah et al., 1999).

This study was carried out to compare the relative effectiveness of gamma rays and Ethyl Methane Sulphonate (EMS), applied alone and in combination, for inducing novel genetic variability in rapeseed, to evaluate the developed mutants, for some important traits, and to isolate and select mutants combining some desirable traits. Nevertheless, the study focused only on phenological and agronomic traits non related with seed quality.

2 Materials and methods

2.1 Plant material and treatments applied

Plant material used in this study was the rapeseed (Brassica napus L.) variety “INRA-CZH2”, from the collection of National Institute for Agricultural Research (INRA) of Morocco (Nabloussi, 2015). The physical mutagen (gamma rays) and chemical mutagen (Ethyl Methane Sulphonate, EMS) were applied for mutations induction. Seeds of this variety were subjected to one dose of gamma rays (1300 Gy), four different concentrations of EMS (1, 1.2, 1.4 and 1.6%) during 6, 7 and 14 h, and one treatment of these mutagens in combination (0.8% EMS during 6 h + 1100 Gy). Mutagen doses or concentrations used in the present study were designed on the basis of LD50 (lethal dose) results from seed germination test. DL50 is a dose that causes 50% mortality to the seeds, i.e. a safe dose where 50% of the seeds can survive. Many researchers think that a dose near to LD50 should be the optimum which varies with crop species and mutagen used (Singh, 2000). Thus, eleven treatment levels were considered in this study: One physical treatment by gamma rays, one combined treatment (EMS + gamma ray) and nine EMS treatments levels as shown in Table 1.

Table 1

Concentrations/doses of mutagenic agents used to induce novel genetic variability in rapeseed.

2.2 Field experiment

Treated (M1) and control (M0) seeds were sown on 5 m long-rows spaced 60 cm apart, according to a completely randomized design, without replications, on November 2014 at the INRA Experimental Station of Douyet (DYT). This station, at 416 m above the sea and with an average rainfall of 425 mm and cracking clay soil, is located at 10 km form Fez city (34°04’ N, 5°07’ W). Climate is of Mediterranean type, with cold and rainy winters, and hot and dry summers. This experimental station is also characterized by a frequent presence of the sirocco wind which could be to some extent harmful for crop growing. At flowering, 20 individual M1 plants, from each treatment, and exhibiting interesting attributes, regarding earliness and seed yield related traits, were selected and selfed to produce M2 seeds.

Also, M2 population was planted on 11 November 2015 at DYT and on 20 January 2016 at the INRA Experimental Station of Sidi Alal Tazi (ATZ), as a late sowing date. ATZ is located at 30 km from Kenitra city (34°31’ N, 6° W), at an elevation of 10.5 m and with an average annual rainfall of 550 mm. The soil is limestone clay with higher salinity rate than DYT. Figures 1 and 2 show monthly temperatures and rainfall registered in DYT and ATZ, respectively, during the cropping season 2015/2016. In both locations, planting was done in a randomized complete block design on 5 m long rows spaced by 60 cm. Two rows of the check (untreated original variety seeds) were planted after every 10 rows of treated material to facilitate the comparison during evaluation and selection.

During cropping cycle of M2 population grown in DYT, minimum temperature was 2 °C, recorded on November, while maximum temperature was 44.8 °C, registered on July (Fig. 1). This figure also shows a strong monthly rainfall variation. After planting, and until January, there was no precipitation, so that two irrigations were carried out to ensure a good germination and seedling emergence. Cumulative rainfall was around 218 mm to which were added the quantities of 20 and 25 mm brought by both irrigations. The rainiest month was March with about 52 mm (Fig. 1). On the other hand, at ATZ, minimum (0.7 °C) and maximum (46.2 °C) temperatures were registered on February and July, respectively (Fig. 2). There was a clear monthly rainfall variation, and cumulative rainfall was around 213.9 mm to which were added the quantity of 30 mm brought by irrigation in late April to have unstressed flowering conditions. Like DYT, the rainiest month in ATZ was March, with about 45.5 mm. In both experimental stations, the overall water supply (cumulative rainfall and irrigations) remained much lower than average rainfall, indicating that experiment was conducted under relatively dry conditions.

thumbnail Fig. 1

Average, maximum and minimum monthly temperatures and rainfall recorded in the Experimental Station of Douyet during 2015/2016.

thumbnail Fig. 2

Average, maximum and minimum monthly temperatures and rainfall recorded in the Experimental Station of Sidi Allal Tazi during 2015/2016.

2.3 Parameters measured

From each treatment, ten mutant plants, for each mutagenic treatment, were taken randomly to study morphological and agronomic parameters in M2 population. Wild type of the variety “INRA-CZH2” was used as a check. Days to flowering and to maturity of each mutant were calculated as the sum of days from emergence date to date when 50% of plants of this mutant have flowered and matured, respectively. At maturity, plant height (cm), number of branches per plant and number of pods per plant were determined. After harvest, number of seeds per pod was counted in laboratory. Pod length and diameter (mm) were determined using a caliper whilst 1000-seed weight (g) was determined by a precision balance.

2.4 Statistical analysis

Analysis of variance (ANOVA) of gathered data was performed to test significant differences among treatments, environments (sites) and their interaction levels. Duncan’s new multiple range test (DMRT) was applied to compare treatment means. Statistical analysis was conducted with the software package SPSS for Windows (Version 22).

3 Results

According to results of analysis of variance, mutagen treatment (gamma rays, EMS and their combination) significantly affected the variation of all quantitative traits studied in M2 population (Tab. 2). In addition, there were significant differences between the two INRA Experimental Station of Douyet (DYT) and Sidi Alal Tazi (ATZ) for all parameters with the exception of pod length (Tab. 2). Also, the effect of treatment × environment interaction was significant on these parameters, except plant height, number of branches per plant and pod diameter (Tab. 2). Therefore, the use of mutagen treatment in rapeseed germplasm, regardless of its type, allowed inducing a novel genetic variability through both environments.

Variation in the parameters measured in M2 progenies, according to the investigated mutagenic treatments is shown in Table 3 for DYT environment, Table 4 for ATZ environment and Table 5 for combined environments. Figure 3 illustrates the novel genetic diversity induced and observed through both experimental environments.

In general, EMS treatments (mainly EMS1-6 and EMS1-7) were found to be more effective for inducing earliness in flowering and maturity, compared to the check and the other mutagenic treatments. In fact, at DYT, mutant lines developed through EMS1-6 and EMS1-7 needed shorter time duration to bloom (99 and 93 days, respectively) and to mature (153 and 171 days, respectively), compared to the check wild variety with 107 and 178 days, respectively (Tab. 3). In ATZ, days to flowering of mutant lines derived form EMS1-6 and EMS1-7 were 76 and 78 days, respectively, and days to maturity were 107 and 106, respectively, whilst the check registered 85 and 111 days, respectively (Tab. 4). Over both locations, it was found that a mutant line derived from EMS1-7 had the lowest average number of days to flowering, 85, and a mutant line coming from EMS1-6 exhibited the lowest average number of days to maturity, 130, compared to 96 and 144 days, respectively, for the check (Tab. 5). On the other hand, seed treatment using 1300 Gy of gamma rays resulted in a slight and non-significant increase in days to flowering and days to maturity over both locations, while combined treatment, through 1300 Gy and 0.8% EMS, induced earliness in flowering and maturity, compared to the check variety (Tab. 5). However, the observed earliness was less pronounced than that induced by EMS1-6 and EMS1-7.

Significant variation was observed on plant height for both locations. At DYT, mutants from 1300 Gy treatment and the check variety had the highest plants, with an average of 156.8 and 155.5 cm, respectively, while mutants developed from combined treatment had the shortest ones, with a mean value of 72.5 cm (Tab. 3). At ATZ, mutant lines coming from 1300 Gy of gamma rays were characterized by the highest plants, with an average of 125 cm, whilst combined treatment and EMS1.4-14 mutants produced the shortest plants, with a mean value of 72.5 and 73.33 cm, respectively (Tab. 4). For combined locations conditions, mutants developed from 1300 Gy exhibited the highest plants (141.74 cm), while there was a decrease trend in average plant height with all other EMS treatments. For EMS1.2-6 and EMS1.2-14, plant height was reduced significantly to 112.55 and 111 cm, respectively, as compared to check (133.65 cm), and for combined treatment, the mutants developed showed the shortest plants, 72.5 cm (Tab. 5).

At DYT, EMS treatments EMS1-7 and EMS1.4-14 enabled to produce mutants with the most elevated number of branches per plant (12.2 and 12.14, respectively), whereas combined treatment led to mutants with lowest branching (5.5). The check variety had a mean value of 10.8 (Tab. 3). At ATZ, mutants coming from EMS1.6-6 and 1300 Gy produced the highest number of branches per plant (7.6 and 7.56, respectively), whilst mutants derived from EMS1.2-6 and combined treatment showed the lowest branching (3.9 and 4.5, respectively). The check had an average of 5.5 (Tab. 4). In combined environments conditions, the highest average number of branches per plant was 10.10, observed for EMS1.4-14, followed by 9.65 for EMS1-7 and 9.16 for 1300 Gy. The control had a mean value of 8.15. Significant decrease in branching was noticed only for the combined treatment, compared to the check (Tab. 5).

In each experimental location, number of pods per plant varied significantly. At DYT, mutants derived from EMS1-7 and EMS1.2-7 produced much higher number of pods per plant (1505 and 1458, respectively) than the check, having an average of 628 pods per plant. On the other hand, combined treatment induced a mutant with the lowest number of pods per plant (112) (Tab. 3). At ATZ, highest number of pods per plant (213) was observed in an EMS1-7 mutant, which was significantly higher than that of check (192 pods per plant), whilst the lowest number of pods per plant (83) was found in a mutant developed by combined treatment (Tab. 4). Over both locations, all mutagen treatments affected significantly this trait and, particularly, by applying a treatment of EMS1-7 and EMS1.2-7, a substantial rise in number of pods per plant was observed. In fact, this parameter was 859 and 831 pods in respective mutants, which were more than twice of the check (410 pods). For combined treatment, a mutant with the lowest value (122 pods) was found, when compared to the check and the other mutagenic treatments.

A large variation was noted in number of seeds per pod in both locations. At DYT, the highest mean value was 29.19 seeds/pod, recorded for EMS1.2-7, which remains, however, comparable to the check (28.78 seeds/pod). The lowest mean value was 18.99 seeds/pod, recorded in EMS1.2-14, followed by 19.18 and 19.22 seeds/pod noticed in EMS1.4-14 and EMS1-14, respectively (Tab. 3). At ATZ, EMS1.4-1 induced a mutant having the lowest number of seeds per pod (17.64), compared to the check (24.35 seeds/pod) (Tab. 4). Over both locations, significant decrease in number of seeds per pod was found for gamma rays-300 Gy and combined treatment (22.51 and 22.91 seeds/pod, respectively), when compared to the check (26.6 seeds/pod). Additionally, our data evidenced high levels of EMS treatment affected negatively and drastically this trait. In fact, by using EMS1.2-14 and EMS1.4-14 treatments, number of seeds per plant was reduced to 19.6 and 18.7, respectively (Tab. 5).

Pod length and diameter varied significantly according to mutagenic treatments in all studied environments. At DYT, EMS1-7 enabled obtaining the longest pod (68.8 mm) followed by EMS1.2-7 (67.9 mm), whereas EMS1.2-14 and EMS1.4-14 led to the production of mutants characterized by the shortest pods (50.88 and 52.41 mm, respectively). The check variety had a mean value of 65.06 mm (Tab. 3). At ATZ, the longest pod (64.62 mm) was observed in EMS1.2-7 mutant, whilst the shortest one (42.7 mm) was recorded in EMS1.4-14 mutant. The check had an average of 61.91 mm (Tab. 4). Over both locations, the longest pod, 66.3 mm, was obtained in EMS1.2-7, which was significantly higher than the control average (63.4 mm), whereas the shortest pod, 49.49 mm, was found in EMS1.4-14 (Tab. 5). Regarding pod diameter, it was negatively affected by all mutagenic treatments, and the lowest value ever observed was 3.3 mm, as a result of EMS1-14 and combined treatments, when compared to 4.03 mm recorded in the check (Tab. 5).

Regarding 1000-seed weight, significant variation was observed for all mutagenic treatments and over both locations. At DYT, the highest 1000-seed weight was 3.63 g, recorded in EMS1.4-14 treatment, followed by 3.24 g, registered in gamma rays-1300 Gy, whilst the lowest one, 1.36 g, was observed for EMS1-14 treatment. The check had a mean value of 2.59 g (Tab. 3). At ATZ, gamma rays-1300 Gy treatment induced the highest 1000-seed weight (2.89 g), while EMS1-14 mutant had the lowest one (1.16 g). The check wild variety had an average of 1.62 g (Tab. 4). In combined location conditions, gamma rays-1300 Gy and EMS1.4-14 treatments enabled to get mutants with highest 1000-seed weight, namely 3.07 and 3 g, respectively, compared to the check (2.12 g) and all other treatments applied in this study (Tab. 5).

Table 2

Analysis of variance (mean_squares) for quantitative traits in M2 mutant of Brassica napus L. generated by EMS, gamma rays and their combination (Treatments) and evaluated in two environments (Locations).

Table 3

Effect of different concentrations/doses of chemical mutagen (EMS) and physical mutagen (Gamma rays) and combined mutagen treatment in M2 generation on quantitative traits in rapeseed evaluated in the Experimental Station of Douyet (DYT).

Table 4

Effect of different concentrations/doses of chemical mutagen (EMS) and physical mutagen (Gamma rays) and combined mutagen treatment in M2 generation on quantitative traits in rapeseed evaluated in the Experimental Station of Sidi Allal Tazi (ATZ).

Table 5

Effect of different concentrations/doses of chemical mutagen (EMS) and physical mutagen (Gamma rays) and combined mutagen treatment in M2 generation on quantitative traits in rapeseed evaluated in two different environments (DYT) and (ATZ).

thumbnail Fig. 3

Novel genetic variability induced by gamma rays and EMS in rapeseed. a: field experiment conducted at Douyet; b: field experiment conducted at Sidi Allal Tazi (2015).

4 Discussion

Like as previous findings (Siddiqui et al., 2009; Emrani et al., 2012; More and Malode, 2016), our results confirmed that gamma rays, Ethyl Methane Sulphonate (EMS) and combination of both were efficient mutagenic treatments for increasing genetic variability in rapeseed quantitative traits. It is common approach in various plant breeding programs to use either physical mutagenesis, particularly through gamma radiation, or chemical mutagenesis, mainly by EMS treatment, as a tool to increase and induce novel genetic variability in germplasms. Usefulness of such mutagen treatments is assessed by their mutagenic effectiveness and efficiency (Begum and Dasgupta, 2010). Chemical mutagens are responsible of DNA base substitution by DNA base alkylation (Cooper et al., 2008), whilst ionizing radiation could cause oxidative damage like base modifications and single or double strand breaks (Roldan-Arjona and Ariza, 2009).

In our investigation, mutants derived from low EMS concentrations and short application duration were earlier to flowering and maturity than the original variety. Application of EMS1-6 and EMS1-7 induced earliness in flowering in M2 mutants, by reducing days to flowering by 9.38% and 11.45%, respectively, compared to wild type. In previous study, Thurling and Depittayanan (1992) found one M3 rapeseed mutant derived from seeds treated with 0.75% EMS during 12 h that flowered 20 days earlier than the parental line. Also, Emrani et al. (2012) had found 6 days earliness in flowering time of M3 lines induced by gamma radiation-1200 Gy treatment. Also, when compared to the wild type, application of EMS1-6 and EMS1-7 induced 14 and 6 days earliness in maturity, respectively, in M2 mutants. In other words, there is in these mutants a genetic gain in terms of maturity earliness of 9.73 and 4.17%, respectively. In Brassica juncea, characterized by much longer crop cycle than B. napus, Barve et al. (2009) found one mutant derived from seeds treated with 0.02% EMS during 3 h, with 47 days earliness in maturity compared to the check, which indicated a cycle reduction of 33.57%. Early flowering provides sufficient time for seed filling, which could result in better seed yield under short-season and lower rainfall environments. Furthermore, modification of Brassica species flowering time is very relevant in agriculture since it may allow extending the geographical range of these crops (Rae et al., 1999). Induction of maturity earliness is one of the traits most frequently altered in mutation breeding programs in Brassica crops (Kharkwal et al., 2004), and many early mutants have been developed (Rahman et al., 1992; Das et al., 1999; Barve et al., 2009; Malek and Monshi, 2009). In the present study, compared to wild variety and mutants coming from the other mutagenic treatments, mutants derived from EMS1-7 were earlier to flowering and maturity, and were also characterized by a higher number of pods per plant through mutation generations and in both environments. According to obtained data over both experimental locations and to the plant architecture of EMS1-7, we would expect more stability and adaptability of this mutant over various and contrasted environments. In addition, this mutant was generally more adapted than check and other mutants to stressful environments associated with low rainfall, high temperature and contrasted sowing dates. In fact, experimental conditions in both environments were characterized by high maximum average temperatures during March-April period coinciding with flowering and early seed filling (Figs. 1 and 2). Therefore, one could expect that early flowering mutant would be more performant in terms of seed yield and seed oil content under such conditions.

As a result of using high concentration of EMS during long time and combination of physical and chemical mutagens, a significant decrease in plant height and stature was noticed, as compared to control. In a previous study, Kumar and Yadav (2010) had also reported that plant height was found to be significantly reduced by high doses of mutagenic treatment, and in some cases, plants responded positively to lower mutagen doses and recorded a slight increase in their height. Dwarfism in mutant plants can be explained by decline of mitotic activity of meristematic tissues and reduction in moisture content in seeds (Khalil et al., 1986). Improvement in seed yield may be associated with reduction in plant height (More and Malode, 2016), and one could remember that use of dwarfing genes was a key factor in the success of green revolution (Khush, 2001). Dwarfing genes may improve seed yield through reduced lodging and increasing harvest index. Many mutation breeders did isolate dwarf mutants in rapeseed and mustard using physical and chemical mutagenesis (Chauhan and Kumar, 1986; Rai and Singh, 1993; Shah et al., 1999; Javed et al., 2003; Zeng et al., 2011; Wei et al., 2018). On the other hand, an increase in plant height was observed as a result of seed irradiation with gamma rays-1300 Gy. This is in perfect agreement with findings of Emrani et al. (2012) who reported the increase in this trait in M2 and M3 generation mutants induced by gamma rays ionizing.

In the same way, an increase of 1000-weight was observed in mutant plants derived from seeds treated by gamma rays-1300 Gy. Similar results were reported by Siddiqui et al. (2009) having used 1000 Gy of gamma rays to ionize their rapeseed seeds. Also, mutants in oilseed Brassica with improved seed size were obtained using gamma rays in other studies (Chauhan and Kumar 1986; Shah et al., 1990). In our work, one could observe that overall 1000-seed weight, regardless of the mutagenic treatments, was lower than standard and common value which is about 3.50–4.00 g (Nabloussi, 2015). This was likely due to unfavorable environmental conditions under which the experiment was conducted, particularly characterized by drought and heat stress in both experimental environments. In fact, it is well known that seed weight is an important seed yield component that is strongly affected by environmental conditions (Diepenbrock, 2000).

Following the use of gamma rays and EMS mutagens, a novel genetic variability was induced and promising mutants were obtained. However, EMS was more interesting as it generated the most performant mutants in terms of flowering earliness and seed yield, mainly when it was applied in low dose and during moderate time. Previous reports had also shown that EMS effectiveness was higher than gamma rays (Thakur and Sethi, 1995; Kharkwal, 1998; Solanki, 2005; Wani, 2009; Begum and Dasgupta, 2010).

However, acquisition of novel desirable mutations has been, recently, facilitated by the introduction of targeted genome editing (GE) technologies, especially clustered regularly interspaced short palindromic repeats (CRISPR)/(CRISPR)-associated 9 (Cas9) (Braatz et al., 2017). The application of CRISPR-Cas9-targeted mutagenesis in plants has been reported not only in Arabidopsis (Fauser et al., 2014; Feng et al., 2014) but also in crops like wheat (Wang et al., 2014), tomato (Brooks et al., 2014), and rice (Li et al., 2016). In rapeseed, some few studies have already presented targeted genome editing mediated by the CRISPR/Cas9 system (Braatz et al., 2017; Okuzaki et al., 2018; Sun et al., 2018). Therefore, as more and more genes are identified for their function, mutagenesis in rapeseed plant breeding could be managed by more efficient ways than chemical/physical and random ways.

5 Conclusion

In conclusion, we confirmed that gamma rays, Ethyl Methane Sulphonate (EMS) and combination of both were potent and highly effective for inducing novel variability in some important agronomic traits in rapeseed. Different mutagenic treatments enabled to develop various mutants with modified and desirable characteristics. Interestingly, modifications and particular characteristics of these mutants were recorded at the level of M1 and M2 plants, and were maintained over both environments of this study. This suggested that these mutants were stable and thus, they could be used and exploited efficiently in rapeseed breeding program. Among the various mutagenic treatments used in present investigation, EMS1-7 was found to be more effective in obtaining earliness in flowering and maturity and to increase number of pods per plant, which is the most important component of seed yield. On the other hand, mutants derived from high dose of EMS during long time and from combination treatment of physical and chemical mutagens decreased significantly plant height and, as a result, short statured plants were obtained. Furthermore, plants derived from seeds irradiated by gamma rays-1300 Gy exhibited the highest 1000-seed weight. Overall, the mutants developed in this study will increase the available genetic variability in Moroccan rapeseed germplasm. Many of these mutants might be stable and thus may enable to develop efficiently and quickly new rapeseed cultivars with different desirable traits.

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Cite this article as: Channaoui S, Labhilili M, Mouhib M, Mazouz H, El Fechtali M, Nabloussi A. 2019. Development and evaluation of diverse promising rapeseed (Brassica napus L.) mutants using physical and chemical mutagens. OCL 26: 35.

All Tables

Table 1

Concentrations/doses of mutagenic agents used to induce novel genetic variability in rapeseed.

Table 2

Analysis of variance (mean_squares) for quantitative traits in M2 mutant of Brassica napus L. generated by EMS, gamma rays and their combination (Treatments) and evaluated in two environments (Locations).

Table 3

Effect of different concentrations/doses of chemical mutagen (EMS) and physical mutagen (Gamma rays) and combined mutagen treatment in M2 generation on quantitative traits in rapeseed evaluated in the Experimental Station of Douyet (DYT).

Table 4

Effect of different concentrations/doses of chemical mutagen (EMS) and physical mutagen (Gamma rays) and combined mutagen treatment in M2 generation on quantitative traits in rapeseed evaluated in the Experimental Station of Sidi Allal Tazi (ATZ).

Table 5

Effect of different concentrations/doses of chemical mutagen (EMS) and physical mutagen (Gamma rays) and combined mutagen treatment in M2 generation on quantitative traits in rapeseed evaluated in two different environments (DYT) and (ATZ).

All Figures

thumbnail Fig. 1

Average, maximum and minimum monthly temperatures and rainfall recorded in the Experimental Station of Douyet during 2015/2016.

In the text
thumbnail Fig. 2

Average, maximum and minimum monthly temperatures and rainfall recorded in the Experimental Station of Sidi Allal Tazi during 2015/2016.

In the text
thumbnail Fig. 3

Novel genetic variability induced by gamma rays and EMS in rapeseed. a: field experiment conducted at Douyet; b: field experiment conducted at Sidi Allal Tazi (2015).

In the text

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