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Print version ISSN 1415-4757
Genet. Mol. Biol. vol.30 no.3 São Paulo 2007
Geovani Bernardo AmaroI; Ângela de Fátima Barbosa AbreuII; Magno Antonio Patto RamalhoI; Flávia Barbosa SilvaI
IDepartamento de Biologia, Universidade Federal de Lavras, Lavras, MG, Brazil
IIDepartamento de Biologia, Embrapa Arroz e Feijão/UFLA, Lavras, MG, Brazil
The efficiency of recurrent selection was assessed in obtaining common bean (Phaseolus vulgaris L) plant lines resistant to the phytopathogenic fungi Phaeoisariopsis griseola. The base bean population was obtained from the partial diallel between seven lines with carioca-type grains and 10 sources of resistance to P. griseola. The plants most resistant to the pathogen were selected in the F2 (S0) generation of the populations (C-0). The best S0:1 plants that presented carioca-type grains were intercrossed to obtain cycle I (C-I). The same procedure was adopted to obtain cycles C-II to C-V. In each recurrent selection cycle, S0:1 progenies selected were also assessed in experiments carried out in Lavras, Brazil, always using as check the Carioca MG (susceptible to P. griseola) and Pérola (tolerant) cultivars. The response to selection for resistance to the pathogen was estimated from the general mean of the S0:1 progenies from each selective cycle compared to the susceptible check Carioca MG. The estimated gain was 6.4% per cycle and the indirect response in grain yield by selection for resistance to the pathogen was 8.9% per cycle. The variability detected among the progenies in the last selective cycles enabled the prediction of additional responses to recurrent selection.
Key words: angular-leaf-spot, grain yield, heritability, Phaseolus vulgaris, response to selection.
During the last 20 years problems with phytopathogens have increased with the intensification of common bean (Phaseolus vulgaris L) cultivation in Brazil. These phytopathogens include the fungi Phaeoisariopsis griseola, which cause the angular-leaf-spot that has been highlighted due to the considerable damage caused to the crop (Miklas et al., 2006). The importance of P. griseola is increasing in the Brazilian state of Minas Gerais, especially in the February-March dry season, because of the favorable climatic conditions for the development of the pathogen. The use of resistant P. vulgaris cultivars is the main control measure for P. griseola (Miklas et al., 2006) but it is difficult to obtain lines with long-lasting resistance (Pastor-Corrales et al., 1998). Although there is still doubt regarding genetic control, several genes must be involved (Mahuku et al., 2004), especially because of the proven existence of several pathogen races (Sartorato and Alzate-Marin, 2004).
Recurrent selection is one of the alternatives for accumulating several resistance alleles (Ramalho et al., 2001). As the resistance to angular leaf spot normally has relatively high heritability plants can be phenotypically selected for recombination in the F2 generation. Since no reports were found in the literature regarding the use of recurrent selection of P. vulgaris for resistance to pathogens this study was carried out to assess the efficiency of phenotypic recurrent selection in obtaining progeny resistant to P. griseola and to verify the effects of such selection on grain yield.
Materials and Methods
Biparental crossings were made between the seven (Phaseolus vulgaris L) cultivars with carioca type grains (Carioca MG, CI-140, CI-128, ANPAT 8.12, IAPAR 81, ESAL 693 and Pérola) and 10 sources of resistance to P. griseola (AN 512561, AND 277, Ouro Negro, Compuesto Negro Chimaltenango, CAL 143, MAR 2, MAR 1, G 5686, MA 4.137 and Jalo) with several grain types. The seeds came from Universidade Federal de Lavras Germplasm Bank. The crosses were performed in a greenhouse at the Departamento de Biologia/Universidade Federal de Lavras, Minas Gerais (MG), Brazil in the 1998 winter season (sown in July). Twenty-nine hybrid combinations were obtained (F1) because of the incompatibility of some crosses (Singh and Gutiérrez, 1984). These hybrids were sown in November of the same year to obtain the F2 (S0) seeds that formed the base population, or cycle 0 (C-0), population. This population was sown in the1999 dry season that presents favorable environmental conditions for angular-leaf-spot and at the end of the cycle the most resistant plants from each cross were phenotypically selected.
To obtain the cycle I (C-I, sown in 2001) population the 29 best S0:1 plants from C-0 population were intercrossed, one per population, selected phenotypically for resistance to P. griseola and including those plants presenting carioca type grains as close as possible to the market standard of beige grains with pale brown stripes. The plants from each population were intercrossed with another two plants according to the scheme presented by Ramalho et al. (2001). Recombination was performed In the 2000 autumn-winter season and the F1 generation obtained and sown in the 2000 wet season to obtain the S0 seeds of the following cycle. The same procedure was adopted to obtain one selective cycle per year. i.e. cycle II (C-II, sown in 2002), cycle III (C-III, sown in 2003), cycle IV (C-IV, sown in 2004) and cycle V (C-V, shown in 2005).
In the region, conditions favorable to the development of P. griseola occur in the February-March dry season, so the S0 generation was always evaluated in this season. In addition to selecting plants for recombination, in the S0 generation of each recurrent selection cycle, a further 20 to 30 plants were selected from each population to form the S0:1 progenies that were assessed in experiments carried out in Lavras, MG, always using the P. griseola susceptible Carioca MG and P. griseola tolerant Pérola cultivars as checks. The seeds from each plant formed one progeny.
Table 1 shows the details of the number of S0:1 progenies assessed in each recurrent selection cycle, the experimental design, plot size (one two-row spaced at 0.5 m) and seasons. All the experiments assessed the grain yield in g m-2 and the severity of angular-leaf-spot, the latter being scored using the following nine-point scale: 1 = asymptomatic plants; 2 = up to 3% of the leaf area covered with non-sporulated lesions; 3 = up to 5% of the leaf area covered with non-sporulated lesions; 4 = about 10% of the leaf area covered with sporulated lesions; 5 = several 2 mm or 3 mm sporulated lesions covering approximately 10 to 15% of the leaf area; 6 = numerous sporulated lesions larger than 3 mm and covering 15-20% of the leaf area; 7 = as for 6 but covering 20 to 25% of the leaf area; 8 = as for 6 but covering 25 to 35% of the leaf area and generally associated with chlorotic tissues that could coalesce and form extensive infected areas; 9 - severe disease symptoms resulting in premature leaf fall and death.
The data obtained for angular-leaf-spot severity and grain yield of the progeny from each cycle were submitted to variance analysis considering all the effects as random except the mean. The genetic variance (), phenotypic variance () and broad-sense heritability (h2) were estimated according to Ramalho et al. (1993), the lower and upper limits for the confidence intervals for the h2 estimates being obtained according Knapp et al. (1985).
The response to recurrent selection cycles was estimated for the reaction to angular-leaf-spot and grain yield using the S0:1 progenies performance of the five selection cycles. Because the S0:1 progenies from each cycle were assessed in different years for angular-leaf-spot severity, to attenuated the environment effect the genetic deviation (dg) was obtained from the difference between the mean of the susceptible Carioca MG check cultivar and the mean of the S0:1 progenies for each cycle as dg = mean of Carioca MG assessed in the same season as the progenies in cycle i minus the mean of the S0:1 progenies in cycle i. The linear regression equation was obtained for the number of cycles, independent variable (x) and the genetic deviation, dependent variable (y). The percentage response to selection Rs (%) per recurrent selection cycle in relation to the mean of the S0:1 progenies of C-I was calculated as: Rs (%) = (b1ÖCI) x 100, b1 is the linear regression coefficient and CI is the mean of the S0:1 progenies for cycle 1 (C-I). The same procedure was used to estimate the response to selection for grain yield, but the genetic deviation of the S0:1 progenies was estimated compared to the mean of the two checks.
Results and Discussion
There was significant difference between the S0:1 progenies in all of the cycles for the angular-leaf-spot severity scores, indicating the existence of variability among the progenies for resistance to P. griseola. The estimates of the genetic and phenotypic parameters confirm this observation (Table 2). In most cases the h2 estimates were high and exceeded 60%, with most of the estimates of the lower limit of the h2 values being positive and hence indicating that the estimates should be different from zero at the 95% probability level. Variability between the S0:1 generation progenies can also be observed in Table 3. The range of angular-leaf-spot severity scores was high in all of the cycles.
In the comparative assessment of pathogen severity during different years and/or locations the environmental effect is often difficult to assess and to attenuate this problem a susceptible check cultivar, such as the P. griseola susceptible Carioca MG cultivar, can be used. In our S0:1 generation assessments the mean score attributed to the Carioca MG check cultivar varied slightly but the values were high (Table 3), indicating, as previously mentioned, that the conditions for pathogen development were favorable in the dry season.
We found that the general mean of the progenies over the selective cycles tended to decrease, indicating that the level of resistance increased during the cycles. The same occurred when the P. griseola tolerant Pérola cultivar was used as the check cultivar, this cultivar showing a good level of resistance to P. griseola in the locations assessed. However, over the selected cycles the mean disease severity score of the progeny tended to be lower than of the Pérola cultivar (Table 3).
We also detected significant variation (p < 0.01) in the analysis of variance for grain yield among the S0:1 progenies in all the five recurrent selection cycles. The estimates of the genetic and phenotypic parameters supported the results of the variance analyses (Table 4). The h2 estimates for the S0:1 generation in the different cycles (Table 4) all exceeded 25%, although a small reduction in the h2 estimates occurred during the selective cycles.
Recurrent selection is a process which should be periodically assessed because the response to selection estimates in different periods allows breeders to verify the success attained and where alterations are required in the procedures used. In allogamous plants, the response to selection estimates are easily obtained by assessing the populations of the different cycles, because in such plants the population returns to the normal condition of equilibrium after recombination. Thus one sample from the populations of each cycle should be stored for later assessment. However, in the case of the common bean P. vulgaris this procedure cannot be used because after intercrossing self-fertilization occurs in the succeeding generations and the genotypic frequencies and, consequently, the genetic properties are altered. Because of this, some alternatives strategies have been used to obtain responses to selection, one such strategy is the to use the mean performance of the S0:1 or S0:2 progenies in each cycle based on the performance of the common check cultivars as an indicator of environmental fluctuation (Olmedo et al., 1995). A somewhat different strategy is to use the S2 and S3 progenies chosen as a function of the trait under selection (Ranalli, 1996; Singh et al., 1999) and it is also possible to use the best lines identified in the different cycles (Ramalho et al., 2005).
We obtained a response to selection estimates using the means of the S0:1 generations of the five selective cycles compared to the Carioca MG check cultivar to attenuate the environmental effect on the severity of angular-leaf-spot (Table 5). The deviation from the progeny mean compared to the Carioca MG check cultivar tended to increase during the cycles, as discussed above. The b1 estimate was positive and different from zero, indicating that the difference among the mean scores of the progeny and Carioca MG were accentuated during the cycles, that is, the resistance level increased with selection. Taking as reference the mean of the S0:1 progenies of the first cycle, the gain with selection was 6.4% per selective cycle.
There are few reports in the literature about the use of recurrent selection for pathogen resistance for the common bean crop (Lyons et al., 1987; Garcia et al., 2003). However, the gain obtained in this study was expressive. Considering that genetic control studies on resistance to P. griseola have indicated that the resistance is monogenic and/or oligogenic (Mahuku et al., 2004), the use of recurrent selection could be questioned. Nevertheless, there are several races of this pathogen (Sartorato and Alzate-Marin, 2004) and many genes are certainly involved in the genetic control of resistance to all of these races. Furthermore, graduation was observed in the symptoms among lines considered resistant. Part of this graduation can be attributed to the environmental effect, but the existence of polygenic control of the trait should not be discounted. The response to selection estimates reinforced this observation.
The response to selection was estimated for grain yield to obtain the indirect response in the grain yield by the selection made on the pathogen severity scores. The deviation values (dg) of the mean grain yield of the progenies compared to the checks increased between the cycles (Table 6). The linear regression coefficient estimate (b1) was 15.85 g m-2, corresponding to a mean percentage gain of 8.9% per cycle compared to the mean yield of the first cycle (Table 6). This value was similar to, or greater than, that reported for selection directly on the grain yield trait (Ranalli, 1996; Singh et al., 1999; Ramalho et al., 2005). This expressive correlated response is further evidence that P. griseola is important in the performance of P. vulgaris, causing great damage to grain yield and further reinforces the fact that common bean plant breeding programs should concentrate on obtaining lines resistant to this pathogen for gain in grain yield.
The original population involved grains with little commercial acceptance and was generated by a partial diallel involving resistance sources with diverse, commercially unacceptable grain types and carioca grain type lines. Although several genes are involved in the genetic control of grain appearance (Basset, 2004) there was marked progress with selection for this trait. Although the response to selection for the grain type trait was not quantified, the progenies in the last cycle, for example, had a much superior appearance to those parental lines with carioca type grains. There are other reports in the literature of success with selection for grain type as occurred in this study (Cunha et al., 2005; Ramalho et al., 2005).
The use of recurrent selection for resistance to P. griseola should be continued, because variability for selection was detected even after the fifth cycle. Furthermore, the process is dynamic. If new sources of resistance were identified, they could be recombined together with the selected progeny and the variability could certainly be maintained during long-term selection.
We should emphasize that it was possible to carry out a selected cycle each year, contradicting the argument that recurrent selection is a slow process. This is especially true because in each cycle the endogamy advance process is carried out until lines are obtained, as in any other breeding method applied to autogamous plants.
The authors thank CNPq for granting scholarships.
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Send correspondence to:
Ângela de Fátima Barbosa Abreu
Universidade Federal de Lavras
Departamento de Biologia
Caixa Postal 3037
37200-000 Lavras, MG, Brazil
Received: May 23, 2006; Accepted: November 16, 2006.
Senior Editor: Ernesto Paterniani