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Genetics and Molecular Biology

Print version ISSN 1415-4757On-line version ISSN 1678-4685

Genet. Mol. Biol. vol.29 no.3 São Paulo  2006

http://dx.doi.org/10.1590/S1415-47572006000300022 

PLANT GENETICS
RESEARCH ARTICLE

 

Environmental interaction, additive and non-additive genetic variability is involved in the expression of tissue and whole-plant heat tolerance in upland cotton (Gossypium hirsutum. L)

 

 

Hafeez-ur-Rahman

Cotton Research Institute, Ayub Agricultural Research Institute, Faisalabad, Pakistan

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ABSTRACT

Heat tolerance is measured at tissue level by cellular membrane thermostability (CMT) and at the whole plant level by the heat tolerance index (HTI). Eight upland cotton cultivars and 15 crosses were used to determine the type and extent of genetic variability associated with the expression of these traits between and within environments. Heat stress and non-stress conditions were used as the CMT environments and years for HTI. The wide variation in heterotic expression and combining ability effects observed for CMT and HTI suggest multigenic inheritance of these traits. Significant genetic variability across environments was evident but the traits were not highly heritable because of substantial environmental interaction. The available genetic variability included both additive and non-additive components, but the proportion of additive genetic variability was high for HTI. The parental cultivars CRIS-19 and CIM-448 were good donor parents for high CMT under heat-stressed conditions, and MNH-552 and N-Karishma under non-stressed conditions. Cultivar FH-634 was a good donor parent for HTI. The results show two types of general combining ability (GCA) inheritance among high CMT parents: positive GCA inheritance expressed by CRIS-19 in the presence of heat stress and MNH-552 and N-Karishma in the absence of heat stress; and negative GCA inheritance expressed by FH-900 in the presence of heat stress. It was also evident that genes controlling high CMT in cultivar CRIS-19 were different from those present in the MNH-552, N-Karishma and FH-900 cultivars. Similarly, among high HTI parents, FH-634 showed positive and CIM-443 negative GCA inheritance. No significant relationship due to genetic causes existed between tissue and whole plant heat tolerance, diminishing the likelihood of simultaneous improvement and selection of the two traits.

Key words: cotton, environmental interaction, genetic variability, heat tolerance, membrane stability.


 

 

INTRODUCTION

Heat stress primarily affects photosynthetic activity (Berry and Bjorkman, 1980) and cellular membranes (Raison et al., 1980), but its ultimate economic effect is reduced yield. Development of heat tolerance in commercially important crops like cotton is, therefore, necessary to sustain production, particularly in heat-stressed regions, and tissue and whole plant heat tolerance are important components of heat resistance in upland cotton (Rahman, 2004; Rahman et al., 2004). Screening whole plants for the degree of flowering and fruit-set in hot environments has been effective in improving heat tolerance in Gossypium barbadense L. (Feaster and Turcotte, 1985; Lu, and Zeiger, 1994). For other crop species, success with whole plant screening approaches has been achieved in tomato (Stevens, 1979; Villareal and Lai, 1979), common bean (Dickson and Petzoldt, 1989) and cowpea (Hall, 1992, 1993). Whole plant screening techniques are usually empirical approaches requiring suitable screening environments for successful selections, and the presence of genotype x environment interaction often reduces selection efficiency in such approaches. The cellular membrane thermostability (CMT) assay (Sullivan, 1972; Sullivan and Ross, 1979) is an indirect screening technique for heat tolerance and also provides a reliable measure of tissue tolerance to heat stress (Raison et al., 1980, Blum and Ebercon, 1981). The CMT assay has been successfully used to identify heat tolerant and susceptible genotypes in several crop species, including cotton (Rahman et al., 2004). Information on the genetic behavior of CMT and HTI in upland cotton has not been established but is imperative to understanding the genetic bases of the two traits and providing theoretical grounds for applied cotton breeding programs.

The objectives of the present study were to evaluate the effect of the environment on the available genetic variability associated with tissue and whole plant heat tolerance to decide on their potential as breeding objectives, and to evaluate the relative worth of upland cotton cultivars in terms of their combining ability effects for the two traits.

 

Materials and Methods

Plant material

Eight upland cotton (Gossypium hirsutum. L) cultivars were selected after a preliminary screening experiment carried out in 1998 (Rahman, 2004) at Cotton Research Institute (CRI), Faisalabad, Pakistan. During the 1999 crop season 15 F1 crosses were obtained in a line x tester pattern using 5 cultivars (serial numbers 1 to 5 in Table 4) as female lines, and 3 cultivars (serial numbers 6 to 8 in Table 4) as male testers.

Cultivation conditions and experimental design

Experiments in the field were sown on the 7 April and 29 May 2000, and 15 April and 4 June in 2001 at CRI. Early sowing in both the years (referred to as the April regime) helped in synchronizing the maximum flowering period of the crop with the highest temperatures of the year during June to July, and the later sowing (the June regime) with the optimum temperatures of August and September. Maximum and minimum temperatures during the April regime were significantly higher than those prevalent in the June regimes (data not shown), the April regimes being referred to as the heat-stressed field regimes and the June regimes as non-stressed. The soil of the experimental plots had a loamy texture with a pH of 8.5, 0.92% organic matter and a 27-saturation percentage. A randomized complete block experimental design with 3 replications was used for both sowing dates and years. Each entry per replication was represented by a single 4.5-meter long row, with a row to row distance of 75 cm and a plant-to-plant distance of 30 cm. Seed was soaked in tap water for six hours before sowing and three seeds were sown per hill in a well-prepared soil at field capacity. Plants were thinned to a uniform stand of single plant per hill when they attained about 15 cm in height. The noonday photosynthetically active radiation (PAR) ranged from 1800 to 2000 µmol m-2 s-1 during the April regime and 1600 to 2000 µmol m-2 s-1 in the June regime during maximum flowering period. Experiments were terminated 180 days after sowing (DAS) in both regimes and years. Both experiments (regimes) in a year received identical agronomic treatments. Experiments were fertilized with N:P:K at a rate of 150:50:00 kg per hectare. Potash (K) was not added as the pre-experiment soil test showed 145 ppm potassium in the experimental field. Nitrogen application was split into three equal doses and applied at sowing, first irrigation (33-35 DAS) and maximum flowering. Experiments were sprayed for proper insect control. Adequate irrigation was applied when necessary to eliminate the confounding effect of drought, especially during the reproductive stage.

Tissue tolerance to heat stress was assessed by the in vitro cellular membrane thermostability (CMT) assay which provides a measure of relative cell injury (RCI), a low RCI value indicating higher CMT and vice versa. Details of the procedure as standardized for upland cotton is reported elsewhere (Rahman et al., 2004). Cellular membrane thermostability was determined for all the genotypes at both sowing dates (temperature regimes) during 2001. Assessment of whole plant heat tolerance in both the years was based on the heat tolerance index (HTI), obtained from the ratio of seed cotton yield produced by a genotype under the heat stressed (April) and non-stressed (June) regimes.

Statistical and biometric analyses

Analysis of variance (ANOVA) was carried out in a factorial arrangement. Temperature regimes were treated as environments for CMT and years for HTI, respectively. All effects were assumed fixed. Parental cotton cultivars and their F1 crosses were analyzed separately. Combining ability analyses were carried out using the procedure of Kempthorne (1957) assuming an inbreeding coefficient of F = 1. Variation due to crosses was partitioned into variation due to lines, testers (general combining ability, GCA) and lines x testers (specific combining ability, SCA). General combining ability is the average performance of a parental cultivar in a series of crosses and estimates the proportion of additive genetic variability, whereas, specific combining ability is the performance of a parental cultivar in a specific cross combination and helps to provide a measure of non-additive genetic variability. Estimates of genetic variability (s2G) were obtained across environments using temperature regime and years interactions as environments (Rahman, 2004). Heterosis (HF1) was calculated in relation to mid parent and t-statistics was used to determine whether the F1 hybrid mean significantly differed from the mid-parent value. The degree of dominance (DD) associated with each cross was determined by calculating the potence ratio (F1 - MP)/(BP - MP), where F1 is the mean performance of F1 generation, while MP and BP is the mean performance of mid-parent and the better parent, respectively. Phenotypic and genetic correlation coefficients between CMT and HTI were determined using the method of Kwon and Torrie (1964).

 

RESULTS

Parental cultivars differed significantly (p < 0.01) for the phenotypic expression of tissue tolerance to heat stress as measured by CMT (Table 1). The parents x temperature regime interaction was non-significant (p > 0.05), indicating that the relative ranking among parental cultivars for CMT remained consistent across temperature regimes in the field. Estimates of genetic variability and broadsense CMT heritability in parental cultivars were significant (p < 0.01) but, conversely, the years effect was not only a significant source of variation (p < 0.01) but it also significantly modified the relative HTI ranking among parental cultivars (Table 1). Estimates of genetic variability and broadsense heritability across environments were low due to the high magnitude of the parents x years interaction but were statistically significant (p < 0.01).

 

 

Mean squares due to crosses x temperature regime interaction for CMT and crosses x years interaction for HTI were significant (p < 0.01). Correlation coefficients between mean CMT under heat stressed and non-stressed regimes and that between mean HTI in the two years were moderate (r = 0.47** and 0.43**, respectively; df = 43), indicating that the intensity of these interactions was moderately high. Genetic variability among crosses for CMT and HTI was moderately low in magnitude, but significant (p < 0.01). Further partitioning of interaction variance revealed significant lines x temperature regimes interaction for CMT(p < 0.01), and lines x years and testers x years interactions for HTI (p < 0.01). This indicated that general combining ability (GCA) variation contributed by lines for CMT and that contributed by lines as well as testers for HTI varied across environments. Variation due to lines x testers x temperature regimes for CMT and lines x testers x years for HTI were non-significant (p > 0.05), indicating that specific combining ability (non-additive genetic variability) for both CMT and HTI remained consistent across environments (Table 2). Quantitatively, GCA (from lines and testers together) accounted for 39% and SCA 61% of the total genotypic variability for CMT across temperature regimes. Likewise, the relative contribution to total genotypic variability for HTI across years was 77% for GCA and 23% for SCA.

 

 

Since the crosses x temperature regime interaction for CMT and the crosses x years interaction for HTI were significant, combining ability variations for the two traits were also studied under individual environments (Table 3). The data showed that variation caused by lines, testers and lines x testers was significant (p < 0.01) for CMT under both heat stressed and unstressed regimes, suggesting that both general and specific combining ability variations were involved in the inheritance of CMT. Quantitatively, relative contribution of GCA (from lines and testers together) to total genetic variability for CMT was 45% under heat stressed regime and 49% under unstressed (June) regime. The relative contribution of female parents (lines) decreased from 37% in the absence of heat stress to 20% under heat stress (Figure 1) but, conversely, the relative contribution of male parents (testers) increased to 25% under heat stress as compared to 12 percent in the absence of heat stress. This suggested that heat stress produced a favorable environment for the expression of genes controlling CMT in male parents and the absence of heat stress for those controlling CMT in female parents. The relative contribution of specific combining ability (SCA) decreased from 55% under heat stress to 51% under unstressed conditions. Regarding HTI, variation due to lines as well as lines x testers was significant (p < 0.01) in both crop years. Variation due to testers was significant only in the 2000 crop year (Table 3). In quantitative terms, GCA accounted for 83% of the total genetic variability for HTI during 2000 and 66% during 2001. Likewise, SCA accounted for 17% total HTI genetic variability in 2000 and 34% in 2001. The results suggested that although SCA (non-additive) type of genetic variability was significantly involved, GCA (additive) type genetic variability was more important in the inheritance of HTI. The relative contribution of males (lines) to total genotypic variation in HTI increased from 41% in 2000 to 65% in 2001. Correspondingly, the relative contribution of male parents (testers) decreased from 42% in 2000 to only 1% in 2001 (Figure 1). Moreover, the coefficient of genetic variability (GCV%) for HTI varied from 28% in 2000 to 48% in the 2001 crop season, indicating that genetic variability for HTI was comparatively less stable across environments. The 2000 crop year was more favorable from the breeding point of view because GCA variation expressed by both male and female parents was high and enhanced selection efficiency in predominantly self-pollinated cotton genotypes.

 

 

The GCA effects expressed by various parental cultivars also varied across environments (Table 4). The parental cultivars CIM-448 and CRIS-19 were the main contributors to positive GCA variation for CMT (negative for RCI) under the heat-stressed regime and the cultivars MNH-552 and NIAB-Karishma under the unstressed regime. Among high CMT (low RCI) parental cultivars the CRIS-19 cultivar showed a significantly positive GCA effect for CMT (p < 0.01) under the heat-stressed regime and the MNH-552 and NIAB-Karishma cultivars under the unstressed regime (Table 4). Despite possessing high CMT, FH-900 cultivar expressed a significantly negative GCA effect for CMT under the heat-stressed regime, suggesting that genes controlling high CMT in FH-900 could not be expressed in its progenies. This could be due to the recessive nature of such genes or the absence of a favorable environment. The results thus revealed two types of GCA inheritance among high CMT parents, the positive GCA inheritance expressed by cultivar CRIS-19 in the presence of heat stress and MNH-552 and NIAB-Karishma in the absence of heat stress, and the negative GCA inheritance expressed by FH-900 in the presence of heat stress. This is evidence that genes controlling high CMT in the CRIS-19 cultivar were different from those present in FH-900, MNH-552 and NIAB-Karishma cultivars. Still another set of genes controlling high CMT was evident in the CIM-448 parental cultivar, which was a low CMT parent under both regimes but expressed a significantly positive GCA effect under the heat-stressed regime and a significantly negative effect under the unstressed regime (Table 4). The results, however, suggested that 'CRIS-19' and 'CIM-448' could prove good donor parents for high CMT under heat-stressed conditions, and 'MNH-552' and 'NIAB-Karishma' under unstressed conditions.

Regarding HTI, parental cultivars FH-634, CRIS-19 and CIM-448 predominantly contributed to positive GCA variation during the 2000 trials (Table 4) but during 2001 only FH-634 showed a significantly positive GCA effect for HTI, indicating positive GCA inheritance. General combining ability (GCA) effects expressed by parental cultivars were not related to their mean HTI per se. Cultivar CRIS-19 showed a significantly positive GCA effect during 2000 and above average HTI during 2001, while cultivar CIM-448 had below average HTI in both years but showed a significantly positive GCA effect during 2000 (p < 0.05) and significantly negative effect during 2001 (p < 0.01). Cultivar CIM-443 also showed above average HTI in both the years but could not express high GCA effects and exhibited a negative GCA inheritance pattern. These results provided evidence that different sets of genes were involved in the expression of high HTI in cultivars FH-634, CIM-448, CIM-443 and CRIS-19. Interestingly, cultivars MNH-552 and NIAB-Karishma, which showed high GCA effects for CMT, did not show high GCA effects for HTI. Cultivars CRIS-19, NIAB-Karishma and CIM-448 could, however, express high mean or GCA effect for both CMT and HTI in at least one of the two environments (Table 4).

Since specific combining ability (SCA) variations for CMT and HTI did not show significant interaction with the environments (Table 2), SCA effects, mid parent heterosis and degree of dominance expressed by various cross combinations were computed on the pooled data (Table 5). It was obvious from the data that good specific combinations for CMT were either a product of good x poor or poor x good general combiner, except C47, which was a product of two good general combiners (CIM-448 and CRIS-19) under the heat stressed regime. All good specific combinations for CMT showed an over-dominance type of gene effect, except C47, which expressed partial-dominance. Relatively fewer good specific combinations were evident for HTI, although all cross combinations expressed significant mid-parent heterosis (Table 5). Only two cross combinations (C17 and C38) expressed significantly positive SCA effects for HTI. Over dominance appeared to be responsible for the heterotic expression of HTI in C17 and partial dominance in C38. Cross combination, C26 and C36, respectively, exhibited the highest positive and negative dominance deviations for HTI.

No significant level of phenotypic or genotypic association between tissue and whole plant heat tolerance could be detected (Figure 2). The magnitudes of phenotypic and genotypic correlations were, however, relatively higher in parental cultivars than in crosses. This could be due to the higher level of gene fixation in parental cultivars because of generations of self-pollination.

 

 

DISCUSSION

The presence of significant differences between cotton cultivars as well as crosses for cellular membrane thermostability (CMT) and heat tolerance index (HTI) signifies that heat tolerance at tissue and whole plant levels are genetically determined and thus liable to genetic improvement. A significant level of genetic variability for CMT has also been reported in wheat (Blum et al., 2001; Ibrahim and Quick, 2001a and b; Saadallah 1990), Soybean (Martineau et al., 1979) and groundnut (Talwar et al., 2002). The available genetic variability for CMT in upland cotton carried additive and non-additive components under both heat stressed and non-stressed conditions. This finding is consistent with the report of Xu et al. (1998) on wheat but inconsistent with that of Ibrahim and Quick (2001b) and Sharma and Tandon (1998), who reported a predominance of additive type genetic variability and high heritability for CMT in wheat. A higher magnitude of additive genetic variability was, however, evident for whole plant heat tolerance (HTI) in the present study. A sizable magnitude of non-additive genetic variability and environmental interaction associated with the expression of CMT and HTI lowered their broadsense heritability estimates across environments. Low CMT heritability has also been observed in common beans (Marsh et al., 1985). Some studies have indicated higher genotypic differences for heat tolerance among plants previously exposed to moderately hot temperatures because of the high-temperature-acclimation potential (Li et al., 1991). However, the data produced in the present study did not reveal substantial differences in the magnitude of genetic variability for CMT measured under heat stressed and non-stressed regimes. This could partly be due to the suppressing effect of high temperature on the expression of CMT in some cultivars and hybrids as identified by Rahman et al. (2004).

Wide variation in heterotic expressions and combining ability effects observed for CMT and HTI in upland cotton suggested a multi-genic inheritance of these traits. This is incompatible with the single gene inheritance of heat tolerance as supported by the heat induced low pod set reported in cowpea (Marfo and Hall, 1992; Ismail and Hall, 1999). Maternal effects have also been reported to play a significant role in the inheritance of CMT in wheat (Ibrahim and Quick, 2001b). The present study did not investigate maternal effects on the inheritance of CMT or HTI in upland cotton. Experiments planned to ascertain the extent of any maternal effect in the inheritance of CMT and HTI in upland cotton could be helpful in further elucidating the inheritance mechanism of these traits.

Genetic association between traits helps in simultaneous improvement and indirect selection of the correlated traits. Marcum et al. (1998) established a strong relationship between CMT and whole plant heat tolerance as indicated by leaf firing and percent dry shoot weight in turf grass, expecting an opportunity of indirect selection of whole plant heat tolerance through CMT. However, my investigation with upland cotton did not find any significant correlation between tissue and whole plant heat tolerance at phenotypic or genotypic level, indicating that tissue and whole plant heat tolerance were independent of each other and represented two separate levels of heat tolerance in upland cotton. Lack of significant genetic correlation further reflected no relationship between the two traits due to genetic causes and also implies that genes controlling heat tolerance at cellular or tissue level are different from those controlling whole plant heat tolerance in upland cotton. These results reflect the possibility that the two traits could be genetically improved separately, and the recombinants could be obtained from the segregating populations following crosses of tissue tolerant and whole plant heat tolerant parents.

The conclusion is that although significant genetic variability existed for effective selection and genetic improvement of tissue and whole plant heat tolerance, the presence of substantial genotype x environment interaction and non-additive type genetic variability complicated the inheritance of the two traits in implicitly self pollinated upland cotton. Since cellular membrane thermostability (CMT) was not a good indicator of whole plant heat tolerance, the advantage of using CMT as a rapid in vitro technique could not be exploited efficiently in selecting whole plant heat tolerance. However, the CMT essay could be applied to reduce large segregating populations to a heat tolerant core for further evaluation and selection of agronomic and fiber quality traits. For such a purpose, the formula suggested by Tahir and Singh (1998) that reduces sample size to one-half without loosing efficiency could be very useful. Recurrent selection procedures for general combining ability should be a useful breeding approach in improving heat tolerance in upland cotton based on these traits.

 

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Send correspondence to
Hafeez-ur-Rahman
Cotton Research Institute
Ayub Agricultural Research Institute
Jhang road, 38950 Faisalabad, Pakistan
E-mail: hafeez_rahman@yahoo.co.uk

Received: March 11, 2005; Accepted: December 6, 2005.

 

 

Associate Editor: Márcio de Castro Silva Filho

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