Literature DB >> 22002119

Biomass yield and heterosis of crosses within and between European winter cultivars of turnip rape (Brassica rapa L.).

Atta Ofori1, Antje Schierholt, Heiko C Becker.   

Abstract

Because of its high growth rate at low temperatures in early spring, there is renewed interest in Brassica rapa as a winter crop for biomass production in Europe. The available cultivars are not developed for this purpose however. An approach for breeding bioenergy cultivars of B. rapa could be to establish populations from two or more different cultivars with high combining ability. The objective of this study was to evaluate the heterosis for biomass yield in the European winter B. rapa genepool. The genetic variation and heterosis of the biomass parameters: dry matter content, fresh and dry biomass yields were investigated in three cultivars representing different eras of breeding by comparing full-sibs-within and full-sibs-between the cultivars. Field trials were performed at two locations in Germany in 2005-2006. Mean mid-parent heterosis was low with 2.5% in fresh and 3.0% in dry biomass yield in full-sibs-between cultivars. Mean values of individual crosses revealed a higher variation in mid-parent heterosis ranging from 14.6% to -7.5% in fresh biomass yield and from 19.7% to -12.7% in dry biomass yield. The low heterosis observed in hybrids between European winter cultivars can be explained by the low genetic variation between these cultivars as shown earlier with molecular markers. In conclusion, a B. rapa breeding program for biomass production in Europe should not only use European genetic resources, but should also utilize the much wider worldwide variation in this species.

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Year:  2011        PMID: 22002119      PMCID: PMC3265737          DOI: 10.1007/s13353-011-0067-8

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


Today, Brassica rapa is primarily grown as a spring oilseed crop in Canada and in some northern European regions. Whereas its cultivation as winter oilseed crop in Central Europe has nearly ceased, there is renewed interest in B. rapa as a winter crop for biomass production because of its high growth rate at low temperatures in early spring (Ofori and Becker 2008). If cultivated as a pre-crop, it can be harvested early in the year before planting the major crop, such as maize, sorghum or sunflower. B. rapa is of particular interest among Brassica crops as it has a higher early biomass than B. napus (unpublished results). For biomass substrate storage and biogas processing, a high dry matter content is important, therefore, the major selection criteria for biomass yield are fresh biomass and dry biomass yields. The B. rapa species includes highly diverse morphotypes with a respective varying utilization as oilseed crop, root and leaf vegetables or forage plants. Zhao et al. (2005) suggested two major areas of domestication and respective genepools in Asia and Europe. B. rapa cultivars exhibit a high genetic diversity within cultivars (Zhao et al. 2005; Zhao et al. 2009), whereas the genetic variance of crosses between B. rapa cultivars mainly originated from specific combining ability (SCA) effects (Ofori and Becker 2008). Cultivars of B. rapa are self-incompatible (Franklin-Tong and Franklin 2000) and completely cross-pollinated. Sakamoto and Nishio (2001) discussed the use of the self-incompatibility in F1 hybrid breeding. However, an F1 hybrid production, based on parental inbred lines, requires a high input into parental line development, combination testing and F1 seed production, and a breeding method with a lower input, nevertheless exploiting heterosis, would be of interest. A simple method of hybrid production in cross-pollinated species is the crossing of two populations (Falconer and Mackay 1996). Considering two parental breeding populations of a diploid outcrossing species with completely random mating and in linkage equilibrium, the resulting hybrid shows a higher degree of heterozygosity compared to the mean of parental populations and an increase in heterosis. Schuler et al. (1992) found an average of 18% mid-parent heterosis in seed yield, in 19 intervarietal and interpopulation crosses in B. rapa with Canola quality. Niemelä et al. (2006) reported 18% and 23% heterosis in seed yield for synthetics and composite hybrids, respectively. Ofori and Becker (2008) showed that heterosis for biomass yield in B. rapa crosses was low in general, but up to 30% in the best crossing combinations. Breeding intensity and investment in the development of populations from full-sib progenies between different cultivars are much lower than in F1 hybrid breeding. For a ‘neglected’ crop such as winter B. rapa, this might be a cost-reduced and effective alternative in the breeding of cultivars for biomass production. In addition to an earlier study by Ofori and Becker (2008), in which crosses of a half diallel were tested for GCA and SCA with respect to the possible use in F1 hybrid breeding, in this experiment, we compare the biomass yield of three groups of genotypes: of full-sibs from crosses within three B. rapa winter cultivars, of full-sibs between these cultivars, and mixtures of these, to evaluate the genetic variation and heterosis and to draw conclusions for breeding strategies of B. rapa for biomass production. The three B. rapa cultivars in this study were selected as genetically different in their breeding history and representative for various eras of European winter B. rapa breeding. The diploid cultivars Steinacher (S), Rex (R), and Largo (L) were released in 1954, 1984, and 2002, respectively. Steinacher, the eldest cultivar, is high in glucosinolates and erucic acid in the seed oil. Rex, a forage type of B. rapa, is high in glucosinolates but has zero erucic acid and was released after the first obvious bottleneck in breeding history, the introduction of zero erucic acid genetic material into the B. rapa genepool. Largo has “00” quality, zero erucic acid combined with low seed glucosinolate content, and was thus released after the second bottleneck in quality breeding. Seeds of Steinacher were obtained from the genebank at IPK Gatersleben, Germany, and were multiplied under isolation (Ofori et al. 2008), while seeds of Rex and Largo were obtained from the plant breeders Norddeutsche Pflanzenzucht Hans Georg Lembke KG and SW Seeds, respectively. Crosses between plants of the three cultivars (R × R, S × S, L × L) were performed by isolation of two parental plants with a bag. Nine crosses of each crossing combination were harvested at Reinshof experimental station in 2005. The resulting 27 crossing combinations (R × R, S × S, and L × L) are referred to as full-sibs-between (FSbetween). Three plants of each cultivar were selfed to prove their self-incompatibility and, as expected, showed hardly any seed set (data not shown). The seed of full-sibs-within (FSwithin) cultivar crosses was produced by isolation of two plants each from the same cultivar. Equal quantities of seed from ten FSwithin crosses per cultivar (R × R, S × S, and L × L) were bulked for the field evaluation of FSwithin. Three mixed bulks (FSmix) of the combinations R × L, R × S, and L × S were composed of FSwithin and FSbetween, which are genetically equivalent to a synthetic population (syn-1 generation) developed by random mating of a mixture of two cultivars each. Equal quantities of seed from the nine crosses of each FSbetween combination were bulked. The three FSmix bulks were produced by mixing 50% FSbetween bulked seed and 25% of the two corresponding parental FSwithin lots. The proportions of the lots were based on their 1,000 seed weight. The plant material, including the three parental cultivars, was tested at Göttingen and Einbeck in central Germany in the growth season 2005–2006. At both locations, a lattice field design with two replications was used. Plot size differed with 11.25 m² in Göttingen and 9 m² in Einbeck, with a sowing rate of 90 and 110 seeds per m-2, respectively. Fertilization and weed control were performed in accordance with standard crop management protocols. Days to flowering (DTF) were recorded as number of days from sowing till 50% of the plants in a plot started flowering. At the end of flowering, fresh biomass yield (FBY kg m-2) was determined by cutting all plants of a plot 5 cm above the ground with a harvester and weighing the biomass immediately. Biomass yield has nearly reached its maximum at this stage, as demonstrated for Brassica napus by Diepenbrock (2000). Dry matter content (DMC, %) was determined after drying a sub-sample of 300 g fresh biomass per plot for 6 days at 60°C in a Memmert ULM 800 drying oven. Dry biomass yield (DBY g m-2) was calculated on the basis of DMC and FBY. The analysis of variance (ANOVA) was performed for each location as lattice using PLABSTAT software (Utz 2001) and the model: Yijk = μ + ri + gj + ßk + eijk. Yijk was defined as the observation of genotype j in block k and replication i. μ is the overall mean; ri is the effect of replication i (for i = 1, 2); gj is the effect of genotype j (for j = number of genotypes); ßk is the effect of block k (for k = 1, …B); and eijk is the error. A combined analysis of variance using the adjusted means of environments was performed for separate groups of genotypes (parental cultivars, FSwithin, FSbetween, FSwithin plus FSbetween, and FSmix) based on the model: Yij = μ + li + gj + lgij + e. Yij is defined as the observation of means of genotype j in environment l; li defined as the environmental effect (l) at location i (for i = 1, 2); lgij is the corresponding interaction effect; and e is the pooled error from lattice experimental analyses at the two locations. The environment was considered as fixed. In the ANOVA, FSbetween effects were partitioned into ‘between crosses’ with (3−1) degrees of freedom and ‘within crosses’ with 3 × (9−1) degrees of freedom. The FSbetween vs. FSwithin effects (Table 1) were calculated based on the sum of squares (SS): SS FSbetween vs FSwithin = SSFSwithin plus FSbetween − SSFSwithin − SSFSbetween.
Table 1

Mean squares from combined analysis of variance of parental cultivars, full-sibs-within cultivars (FSwithin), full-sibs-between cultivars (FSbetween), and their mixture (FSmix), evaluated in two environments

Source of variationDfDTF (days)DMC (%)FBY (kg m-2)DBY (g m-2)
Environment (E)11163.95**180.60**2.97**49783.79**
Genotypes (G)353.23**1.000.091548.45
 Parental cultivar23.502.820.221533.57
 FSwithin 23.363.890.022891.70
 FSbetween 263.45**0.780.091082.43
  Between crosses210.44**1.560.28*1946.39
  Within crosses242.87**0.720.071010.44
 FSbetween vs. FSwithin 10.570.010.04541.10
 FSmix 24.15+0.400.03259.01
G × E350.55+0.710.07**1453.67*
Error500.360.480.03829.36

For DTF, days to flowering; DMC, dry matter content; FBY, fresh biomass yield; DBY, dry biomass yield. +, *, ** significant at P = 0.10, P = 0.05 and P = 0.01, respectively

Mean squares from combined analysis of variance of parental cultivars, full-sibs-within cultivars (FSwithin), full-sibs-between cultivars (FSbetween), and their mixture (FSmix), evaluated in two environments For DTF, days to flowering; DMC, dry matter content; FBY, fresh biomass yield; DBY, dry biomass yield. +, *, ** significant at P = 0.10, P = 0.05 and P = 0.01, respectively Heterosis was estimated as mid-parent heterosis and FSwithin was used as parental value. For all biomass parameters DMC, FBY and DBY, the combined ANOVA (Table 1) revealed the environment as largest effect and significant genotype × environment-interactions for beginning of flowering (days to flowering; DTF), DBY and FBY. For the interpretation of the latter, it has to be considered, that the experimental basis is rather small with only two environments. The parental cultivars Rex, Largo, and Steinacher varied in fresh and dry biomass parameters (Table 2). The eldest cultivar Steinacher showed the highest DMC with 13.92% as parent and 14.06% for FSwithin S × S, respectively, whereas the more recently released cultivar Largo revealed the lowest DMC and DBY. Significant differences were detected in yield parameter FBY and in flowering time (Table 1) between the three FSbetween crossing combinations.
Table 2

Mean values of parental cultivars, full-sibs-within cultivars (FSwithin), full-sibs-between cultivars (FSbetween), and their mixture (FSmix), as well as the heterosis of the latter two, evaluated at two environments

GroupsnDTF (days)DMC (%)FBY (kg m-2)DBY (g m-2)
CultivarsParent R1246.7612.383.00369.05
Parent L1249.0311.583.07344.46
Parent S1246.7113.923.62399.73
Parental mean 247.50 12.63 3.23 371.08
FSwithin R × R1248.7511.723.44407.96
L × L1248.4311.593.41383.38
S × S1246.3614.063.24457.99
FS within mean 247.85 12.46 3.36 416.45
FSbetween R × L9248.4012.163.59431.05
R × S9247.1712.693.39433.76
L × S9247.0012.643.36414.55
FS between mean 247.52 12.50 3.45 426.46
FSmix R × L1248.8512.793.51433.57
R × S1246.3711.973.29410.82
L × S1246.3212.053.49422.29
FS mix mean 247.18 12.27 3.43 422.23
Overall SE 36 0.60 0.70 0.18 28.80
HeterosisR × L9−0.084.094.849.33
FSbetween (%)R × S9−0.16−1.651.490.82
L × S9−0.16−1.571.09−1.21
FS between mean −0.13 0.29 2.47 2.98
HeterosisR × L10.109.172.479.67
FSmix (%)R × S1−0.49−7.10−1.52−5.31
L × S1−0.44−6.275.060.43
FS mix mean −0.27 −1.40 2.01 1.60

For n, number of genotypes per trial; DTF, days to flowering; DMC, dry matter content; FBY, fresh biomass yield; DBY, dry biomass yield; SE , standard error

Mean values of parental cultivars, full-sibs-within cultivars (FSwithin), full-sibs-between cultivars (FSbetween), and their mixture (FSmix), as well as the heterosis of the latter two, evaluated at two environments For n, number of genotypes per trial; DTF, days to flowering; DMC, dry matter content; FBY, fresh biomass yield; DBY, dry biomass yield; SE , standard error The mean performance of FSwithin, which was developed by randomly crossing individual plants in a population, is expected to be the same as the parental cultivar mean (Falconer and Mackay 1996). FSwithin produced higher biomass yields than the parental cultivars. This may have been the result of unconscious positive selection for better plants for the production of FSwithin. Moreover, the seeds of parental lines were not produced in the same environment as FSbetween, FSwithin and FSmix. For these reasons, FSwithin was used instead of the parental cultivars for the estimation of heterosis; otherwise, heterosis might have been overestimated. The mean values of biomass yield parameters (FBY and DBY) increased in general as expected due to heterosis: FSwithin < FSmix < FSbetween. A small and positive mid-parent heterosis was observed for the mean values of the yield traits FBY and DBY for FSbetween (Table 2). The avarage mean heterosis effects of FSbetween were small and the largest effect was observed in FSbetween crossing combination R × L with 4.84% for fresh and 9.33% for dry biomass yield (Table 2). Heterosis estimations of individual FSbetween revealed a maximum of 14.58% for FBY and 19.65% for DBY and a minimum of −7.46% and −12.68%, respectively. The mean mid-parent heterosis effects of FSbetween exceeded FSmix in both yield parameters fresh and dry matter yield. The maximum heterosis for fresh biomass yield was observed in FSmix crossing combination L × S with 5.06% and for dry matter yield in FSmix crossing combination R × L with 9.67% (Table 2). Minimum heterosis was negative with −1.52 for fresh and −5.31 for dry matter yield. The small negative heterosis for flowering time (DTF) showed that FSbetween flowered slightly earlier than the corresponding parental FSwithin. The low amount of heterosis in crosses between the three cultivars Rex, Steinacher and Largo, supports earlier results with molecular markers, revealing that most of the genetic diversity is within cultivars (83%) compared to only 17% between cultivars (Ofori et al. 2008). In this experiment, only three cultivars were used, but they represent nearly 50 years of European winter B. rapa breeding. They differ completely in seed quality, which is of no importance for biomass use, and show the maximum diversity which can be expected in the European genepool. Other studies with six (Zhao et al. 2009) or ten (Zhao and Becker 1998) cultivars corroborate the low diversity in European winter cultivars and suggest to broaden the diversity by utilizing Chinese genetic resources. Self-incompatibility (SI) supports cross pollination by rejection of self-pollen. In B. rapa, a multiallelic gene complex at the S-locus controls the SI recognition and a number of different S-alleles differing in intensity have been described (Sakamoto and Nishio 2001). In this study, FSbetween crosses were produced without emasculation by isolation of two plants, assuming that the plants were self-incompatible. Hybridity was confirmed by using seed erucic acid content as a marker. The selection for different S-alleles in parental cultivars could be a basis for future inter-population or inter-varietal crosses, which would increase the level of hybridity and reduce the amount of within cultivar pollinations. It could be assumed that heterosis in crosses between cultivars (FSbetween and FSmix) was low because of the low genetic variation between and the high genetic variation within the cultivars. Therefore, it is not very promising to develop populations of synthetic cultivars by combining lines from different European winter cultivars. Increasing the amount of heterosis by including less closely related cultivars or genotypes of the B. rapa genepool, such as Chinese genotypes (Zhao and Becker 1998; Zhao et al. 2009), could be an option.
  3 in total

1.  Self-incompatibility in Brassica: the elusive pollen S gene is identified!

Authors:  V E Franklin-Tong; F C Franklin
Journal:  Plant Cell       Date:  2000-03       Impact factor: 11.277

2.  Genetic relationships within Brassica rapa as inferred from AFLP fingerprints.

Authors:  Jianjun Zhao; Xiaowu Wang; Bo Deng; Ping Lou; Jian Wu; Rifei Sun; Zeyong Xu; Jaap Vromans; Maarten Koornneef; Guusje Bonnema
Journal:  Theor Appl Genet       Date:  2005-04-02       Impact factor: 5.699

3.  Effect of crop improvement on genetic diversity in oilseed Brassica rapa (turnip-rape) cultivars, detected by SSR markers.

Authors:  Atta Ofori; Heiko C Becker; Friedrich J Kopisch-Obuch
Journal:  J Appl Genet       Date:  2008       Impact factor: 3.240

  3 in total

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