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International Journal of Farming and Allied Sciences

Available online at www.ijfas.com

©2014 IJFAS Journal-2014-3-2/165-170/ 28 February, 2014 ISSN 2322-4134 ©2014 IJFAS

Yield changes and wheat remarkable traits

influenced by salinity stress in recombinant inbred lines

Davood Eradatmand Asli

1

and Maziar Ghandian Zanjan

2

1. Department of Agriculture, Payame Noor University, Iran

2. Department of Agriculture, Safadasht Branch, Islamic Azad University, Safadasht, Iran Corresponding author: Davood Eradatmand Asli

ABSTRACT: More than six percent of areas in the world, or about fifty percent of the land area of wet land face with salinity problems. In Iran, saline soils area is over 18.5 million hectare. Since water resources with good quality irrigation products for the world are limited, the use of saline waters and lips passion for agriculture is inevitable in such circumstances, one of the factors of production and utilization of soil, water, saline tolerant crop varieties of salt. In order that changes yield and plant characteristics influenced by salinity stress in wheat recombinant inbred lines, a population of 278 RILs (F8 Recombinant Inbred Lines) of bread wheat derived from a cross of Attila/Kauz (salt sensitive) and Karchia (salt tolerant) were evaluated in α-Lattice Design with two replications under two environmental conditions (normal: water and soil salinity = 2 ds.m-1 & salinity stress: water salinity=11-17 ds.m-1 and soil salinity=13 ds.m-1) in Yazd in 2008, to determine the effect of salinity on grain yield and other characteristics. Analysis of variance showed that there were significant differences among varieties for concerned characteristics, indicating the existence of genetic variation among RILs. Salinity reduced the mean of characteristics, particularly, grain yield and grain weight.spike-1. The genotype × environment interactions were highly significant on grain yield and grain weight.spike-1, spike weight and some other characteristics, indicating that RILs responded differently to salinity condition for these characteristics. In contrast the genotype × environment interactions on plant height, peduncle length, spike length and grain no.spike-1 was not significant, indicating a lower differential response to salinity. For these characteristics, Biomass and harvest index had the highest correlation with grain yield in normal and salinity stress conditions.

Keywords: wheat remarkable traits, Recombinant Inbred Lines, Salinity stress INTRODUCTION

Wheat bread is the most important (Triticum aestivum L.) food crops in the world and the people in arid and Semi-Arid. In these areas, shortage of water is as the main cause of soil salinity Secondary factor in plant growth (Munns et al., 2006). More than six percent of areas in the world, or about fifty percent of the land area of wet land face salinity problems (Flower et al., 1997). In Iran, saline soils area is over 18.5 million hectare (Siadat et al., 1977). Since water resources with good quality irrigation products for the world is limited, the use of saline waters and lips Passion for agriculture is inevitable in such circumstances, one of the factors of production and utilization of soil, water, saline tolerant crop varieties of salt. Evidence about the effect of salinity on growth and yield of crops and identification new plant genotypes with high tolerance are salt (especially wheat) was performed (Schachtmann and Munns, 1992; Munns and James, 2003; Colmer et al., 2006; Munns et al., 2006). The

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166 destructive effects of salt stress, the reduction potential osmotic effects on water balance in the root and plant swelling pressure at different growth stages of wheat has been reported by many researchers (Tester and davenport, 2003; Munns et al., 2006). Salinity, leaf expansion, plant height, growth and yield of wheat spikes reduce salinity causes (Mass and Grieve, 1990). Reduced yield by reducing tiller numbers and reduced the number of grains (El-Handawy et al., 2005). The potential of yield because of reducing the number of fertile spike let in the susceptible genotype is affected (Grieve et al., 1993). Vegetative and reproductive growth duration varieties and cultivars of wheat under salinity stress is reduced and the Earliness this reduction, (Munns and James, 2003) this reduction meaningful effect on growth and dry matter production. High variability among cultivars and lines salinity tolerance in bread wheat have been reported which indicates that there are opportunities (Martin et al., 1994). In order to increase the salt tolerance of bread wheat selection is through reform. Production of wheat development of wheat genotypes is able to more diverse in terms of crop yield stress. Environment including salt, increase the detection of tolerance (Inamullah et al., 2006), but quantitative trait that is influenced by the mechanisms identified salt- tolerant wheat very difficult and constraints identified in this field is to produce tolerance. (Ashraf and Haris, 2004).in order to produce tolerant types to the salt and better and faster progress in the development of cultivars, wasting time and expense incurred should be prevented, diversify genetic crosses used for salinity tolerance (Ramage,1980). Misunderstanding of the role plant yield traits may choose decrease in breeding programs, resulting in low heritability of yield in wheat. One of the traits was significantly correlated with the better choice of salt tolerant cultivars and lines. In this experiment, a pure population of recombinant inbred lines Attila / Kauz bread wheat cultivars from crosses between salinity and high performance and type of Karchia which is tolerant to high salinity and the effect of salinity on the characteristics of soil and water controlling population growth and reproductive behavior in the city (RILs) purified recombinant inbred lines in the city of Yazd was discussed.

MATERIALS AND METHODS

In this study, 278 recombinant inbred lines of pure Attila / Kauz derived from crosses between parents (RIL F8) of salt tolerant and salt sensitive Karchia were evaluated. Experiment in conditions of control and stress (soil, water, salt ) was conducted. Lines compared with controls in both experiments and Alpha lattice design with two replications during salt stress were evaluated. In control experiments, water and soil with electrical conductivity of about 2 decizimens/m salinity and with electrical conductivity of about 17 decizimens/m and soil 10-12 decizimens/m at the time of vegetative stage was applied. Planting seeds was performed in December. Each plot consisted of two lines planting along two meter. All the operations include fertilizing, weeding weeds and watering the plants regularly was performed. At harvest time, in order to evaluate the characteristics plant peduncle length (cm), plant height (from crown to tip of spike excluding the awn to cm), spike length (from September to the end of the Last spike lets per cm), internodes weight in harvest (g), spike weight (g), number of seeds spike and grain weight per spike (g), five plants of each genotype mean and were randomly assigned to take notes. After crop maturity, plants in each plot weight was removed biomass (dry weight plant at harvest) were measured and then boot needed threshers and grain yield (g in plot) as were finally tested for saline control was calculated separately.

Number of days to heading (in terms of number of days from planting up to 50% heading in the main stem of the plant per plot) and days to maturity (in terms of number of days from planting to maturity 50 Hundreds of plants per plot) were also recorded. After collecting the data , to evaluate the genetic diversity of the studied lines and determine whether there is a significant difference purified recombinant genotype × location interaction Purified recombinant inbred lines × effect of salinity combined analysis of two tests or location (Experiment I =location and experiment II= locus of control and experimental saline) was performed on all traits. The mean and range (Minimum and maximum) and the percentage change in each trait both test and control strain was examined.

Percentage changes calculated parameters using the following formula were used to test the significance of changes and using the software SAS V 6.12 Proc means was done.

Percent of Variation={

}

Where Mean N = Mean of variation attributes in conditions of control and Mean S is mean of attribute in conditions of salinity and percent of variation.

Attributes in which a meaningful variation was observed among them, used to determine the correlation between traits the yield coefficient was separately for correlations coefficient. Normality test data for characters in places with Minitab software data were normalized with respect to the distribution, for measures analysis of variance and correlation coefficients of the soft-ware SAS V 6.12 was applied.

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167 RESULTS AND DISCUSSION

Normality test data showed that errors all traits were normally distributed test was due to incomplete block effects were not significant, combined analysis of the characteristics of the two locations on the block design replications in a randomized complete. Lines of characteristics of significant differences between this imply that there was a good variety of lines purified recombinant examined (Table 3). At previous research with a high variability in the response of lines of maturity of durum wheat in saline–treated was reported (Singh et al., 1997). In tests on wheat varieties Pakistan variation between wheat varieties salt tolerance was reported (Qureshi et al., 1980). Significant decrease compared with control areas where salinity in the five and one percent, in all traits except number of grains per spike, number of days to heading and days to maturity in inbred silt final expression was observed. The mean of all controls in place more susceptible parent traits in parent was incurred. Reduced compared to the susceptible parent were more likely (Tables 1 and 2). Tolerant varieties of to salinity in previous studies Karchia and had been reported by other researchers (Rawson, 1999; Munns, 1999, Poustini and Siosemardeh, 2004). Variation coefficient (6.1 % in the number of days/phenotypic and 35.2% and 35.5% maturity of Biomass and grain yield) were different (Table 3). According to the characteristics of safe, invading the separation of the silt purified recombinant were observed (Table 1), as a result, with the advantage of the FBS division of property in excess of coefficient of variation for the population studied, in line with maximum yield and components tolerant of saline conditions are compared with the parent, as salinity tolerant lines can be used. The genetic diversity of salinity tolerance , selection of salt tolerant genotypes with high yield and a better understanding of the physiological mechanisms associated with tolerance salt stress in wheat can be very useful and diversity genetic tolerance to salinity in wheat by many researchers have been reported (Singh et al., 1997).

The results of the analysis and data and salinity effects on all traits are described below Munns et al., 2000).

Table1. Mean and range of trait in parents and RILs of bread wheat in normal and salinity stress condition Trait Mean of traits in normal trial Mean of traits in salinity stress trial Range of traits in RILs

Trait Sensitive

parent

Tolerant parent

RILs Sensitive parent

Tolerant parent

RILs Normal trial

Salt stress trial

Spike weight (g) 4.7 3.4 2.0 2.3 2.0 1.6 0.75-3 0.6-5.1

Grain weight. Spike (g)

3.2 1.8 1.3 2.0 1.5 1.1 0.47-6.22 0.27-2.2

Grain No. Spike (g) 30.5 48.0 30.0 20.5 38.5 27.0 13-53 13-54

Inter-node weight 2.3 2.8 2.5 1.9 2.7 2.3 1.1-5.1 0.9-4.3

Biomass (g.plot) 1330 1270 1251 705 1030 650 380-2300 65-2130

Grain yield (g.plot) 643 530 486 327 448 350 131-1002 33-970

Harvest index (%) 48.3 41.7 42.6 46.3 43.5 44.2 15-78.3 16.4-55

Spike length (cm) 8.4 7.2 7.8 80.3 6.5 7.2 5.6-13.7 4.7-14.1

Peduncle length (cm) 27.7 18.7 21.2 18.9 18.3 16.9 15-43.2 6-30

Days to heading 116 116 117 115 116 116 113-121 111-124

Days to maturity 143 144 143 142 144 142.5 137-158 137-155

Plant height (cm) 47.9 37.1 46.0 40.5 29.3 37.1 28.3-68.2 15.6-65.8

Yield and Yield Related Traits

Studied lines for grain yield and number of grains per spike, grain weight per spike and weight any significant spike 1% probability level lines and effect (except with Trait number of grains per spike was also significant traits (Table3). Significant decrease in the level of salinity of one percent can be created (Table 2). The interaction of parent tolerant to the salinity (Karchia) from the viewpoint of yield and traits related to it in the place of salinity compared with control sites (Attila/Kauz) was better than the susceptible parent (Table 2). Lai their response to salt stress was closer. (Mass and Grieve ,1990) also in an experiment about wheat cultivars expressed that salinity stress with the effect on the growth spike, reduces the grain yield. (El-Hendawy et al., 2005) using cluster analysis of too many wheat cultivars reported that salinity was often reduced the yield potential of wheat by reducing the number of fertile tillers. Grieve et al., 1993) by evaluating of the impact of salinity on wheat dwarf wheat expressed that salt spikelet fertility and yield potential decreases in wheat dwarf. (Grieve and Francois, 1992) evaluated the yield of seed in the spike of two main Mexican dwarf wheat varieties under salinity and reported a reduction of 15 percent in yield in stressed plants compared to control plants.

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168

Table 2. Variation in plant characteristics in RILs of bread wheat

Trait Percent of Variation

Trait Sensitive parent Tolerant parent RILs

Spike weight (g) 51.6 46.7 20

Grain weight. Spike (g) 36.9 16.7 18.2

Grain No. Spike (g) 32.8 19.8 10

Inter-node weight 21.6 1.8 8

Biomass (g.plot) 88.6 23.3 48

Grain yield (g.plot) 49.1 15.4 27.9

Harvest index (%) 4.2 -4.3 -3.7

Spike length (cm) 0.95 16.7 7.7

Peduncle length (cm) 31.9 2.5 20.2

Days to heading 0.86 0 0.85

Days to maturity 0.7 0 0.42

Plant height (cm) 15.4 20.9 19.3

Ns. Non-significant Significant at 5% and 1% probability levels, respectively Biomass

The reduction of this attribute due to salinity, in the surface of 1% percent was significant and reaction of lines to stress of salinity was significantly different (Table 3). The weight of biomass in place of stress compared with control sites significantly decreased (Table 2). Reduction in biomass due to the salt sensitive parent (Attila/ Kauz) was about 88.6% but in suffered parent (Karchia) was 23.3% in reaction of lines in response to stress salinity in the intermediate parent characteristics (Table2). A negative effect of salinity on the growth of leaves and stems of the species which was led to the reduction of plant biomass was reported by many researchers (Hernandez et al., 1995; Ali Dinar et al., 1999). (Nouri Sadat et al., 2006) also by evaluation on the salinity stress (150 mM) on a population of F2 of wheat stated that the salinity leads to significant decrease in total plant weight.

Harvest Index

In this study, the effect of salinity on Harvest Lines in one percent level of probability was significant (Table 3).

Salinity caused significant increases in mean harvest index of case study lines (3.7%) and suffered parents (4.3%) in the level of 1% probability, but the average reduction of sensitive parent in the concoction of salinity was 4/2% , respectively (Table 2). The reason of increasing the harvest in tolerant parents and case study lines exposed to stress, was decreasing yield less than biomass. The results of Francois et al (1994) based on the harvest index of wheat cultivars to salinity increases was consistent. (Heydari et al., 2006) also by evaluating the effect of the different levels of salinity on the number of wheat of Chamran reported that in condition of salinity stress, the rate of harvest index and retransmission of photosynthetic materials from aerial section to the seed increases.

Table 3. analysis of variance of traits in RILs of bread wheat df Spike

weight Grain weight

Grain No.

Spike Inter- node weight

Biomass Grain yield

Harvest index

Spuke length

Peduncle length

Days to heading

Days to maturity

Plant height

S.O.V 1 1.266 1.003 3.9 13.6 78476.8 26679.8 104.2 6.3 93.3 150.6 168.6 163.7

Place 2 1.8 0.234 15.3 0.542 4824.1 2026.6 13.9 0.156 8.0103 2.6 2.1 47.4

Block(place) 279 0.059 0.071 1.9 0.109 131.4 58.3 2.05 0.291 0.976 10.5 9.9 2.1

Line 279 0.043 0.064 1.3 0.107 95.9 41.7 1.63 0.157 0.610 8.9 8.8 1.3

Line x Place 258 0.048 0.044 1.4 0.057 82.4 34.4 0.86 0.186 0.760 0.736 0.546 1.7 And: Significant at 5% and 1% probability levels, respectively

Peduncle length and length

Studied lines in length and spike length, peduncle had a significant difference in 1% of probability. The mutual effect of genotype × location and interaction location s was significant (Table 3). In addition, significant exposure to salt stress in two traits was observed. Reduction traits of lines, the susceptible parents (Attila/Kauz) decreased almost by half (Tables 1 & 2). Mass and Grieve, 1990) and (Sadat Nouri et al., 2006) also reported significant decrease in wheat spike during treatment of salinity. Reduction of the length of the peduncle is also referring to destructive and limiting salinity on shoot growth (Mass and Grieve, 1990).

Height of Plant

Reducing the height of plant in reaction of evaluation lines to salinity was observed (Table 1). The effect of salinity on parental lines on reduction of salinity was almost the same height. In general, differences in lines and experimental areas (control and stress) from the viewpoint of plant height, there was a 1% difference, but the

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169 interaction effect of line × location was not significant (Table 3). In studies of (Sadat Nouri et al., 2006), and (Francois et al., 1986) a significant decrease in height in wheat plants under salt stress has been reported.

Inter-node weight

The inter-node weight at time of harvest in condition of salinity stress and measured lines has decreased.

Salinity has more effect on inter-node weight loss at harvest time (21/6 percent) (Attila/Kauz) compared with susceptible parents (1/8 percent) (Karchia) (Table 2). Lines evaluated in terms of inter-node weight compared with parents (8 percent) showed significant decrease (Table 2). Interactive effect of line × location in addition to independent effects of the position and line there was 1% (Table 3.

Days to heading and days to physiologic maturity

The mean of traits in susceptible parent, because of speeding up in entrance of plant to reproductive growth salt location was less than the tolerant parent (Table 1). In tolerant parents no change was not found in this trait and reaction of assessed lines are exposed to salt stress was the same as susceptible parents. The interaction effect of line × location was not significant (Table 3). The percentage of changes in yield was not significant (Table 2). In wheat population investigated by (Sadat Nouri et al.,2006), the decrease at the time of growth and speed of spike emerge in salt treatment was reported. (Mass and Poss, 1989) with evaluation of wheat cultivars under salt stress conditions of 1.4 -28 d/m was reported, as the salt stress and leaf growth and tillering delay,But Have ten headings and maturity can be speed up. In general, if the stress before or during the transition from vegetative to reproductive plant occurred, a significant effects on vegetative and reproductive plant will be observed. Salinity stress can accelerate reproductive growth and can affect plant growth and finally causes the wheat yield reduction (Mass and Grieve, 1990). In control location, the coefficients of correlation between yield and related traits, (r = 0.167*), spikes weight (r= 0.189*) and number of grains in spike (r=0.323**), biomass weight (r=0.902**) and harvest index (r=0.882**) and other traits (except peduncle length), was positive and significant and with inter- node weight at harvest time was negative and significant at the five and one percent (Table 4). In place of salinity, the yield of grain with grain weight per spike (r=0.282**), grain in spike (r=0.419*), spike weight (r=0.264**), biomass weight (r=0.968**), HI (r=0.753**) and other traits had positive and significant correlation with traits of peduncle length and inter-node weight at harvest time, in -1.5% probability level (Table 5). The findings gained by reports of researchers about existence of a positive correlation between yield and yield components in wheat were quite fit. Poustini and Siosemardeh (2004) in their experiments showed that in salinity condition, the yield of the grain has significant positive correlation with spike in wheat. In different studies, the existence of significant positive correlation between grain weight per spike and wheat grain yield and its importance in improving the performance of grain as selection criteria is emphasized. (Ehdaie and Waines, 1989; Guertin and Bailey) and of course, in this study, no close relationship between the experiment traits and yield in salinity stress was identified as due to the quantitative trait and yield contribution of different traits of seeds and this relationship could be weakly justified.

Among the traits in this experiment, the weight of biomass and harvest index with correlation coefficients, significant with the seed yield (0.968 and 0.753) to select lines with high yield and carrying capacity in this matter of the aerial part of seed, the salinity can be effective.

According to table 1, the mean of all characters evaluated in location of parent was decreased and reply of intermediate parental lines were evaluated, this means that most lines in response to salinity particular traits and yield related traits was less sensitive and less tolerant of the parent of the parent were incurred. Reducing the different characteristics associated with the effect of salinity on vegetative and reproductive growth of which sabotaged by many researchers is emphasized (Lauchli and Epstein, 1990; Colmer et al., 2006; Munns et al., 2006). The mean traits of seed per plant, seed weight and spike weight (Table 1) showed that the effect of salinity on grain weight per spike and spike weight was higher. Thus, it can be concluded that by increasing salinity (Mass and Poss, 1989) and the number of seed sterility blank,1989), a significant decrease in grain yield of inbred in line with these findings the study by (Colmer et al., 2006; Francois et al., 1986) showed that the maximum effect of salinity on grain yield is through the change in weight per spike and grain weight per spike. Interaction of line × the place of seed yield, weight per spike, grain weight per spike and harvest index was five percent probability level was significantly higher, while the effect on plant height, spike length and length peduncle was not meaningful. We can go from a stated limited number of genes controlling the expression of these traits or gene expression in stable salinity. In previous studies, a further reduction in yield comparison of yield and related traits, growth under salt stress in wheat ((Sadat Nouri., 2006 and Francois et al., Sorghum 1984) had reported. Yield potential of wheat tillers and grain weight per spike depends on the salinity as an environmental factor grinding grain growth due to reduce tiller number and biomass reduces since its stability and performance. (Hu et al., 1997).Two main

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170 objectives in selecting plants are plant’s yield and tolerance and there is an average of the final performance under salt stress compared with the parent, we can identify effective steps lines tolerant to improve the harvest. Selection based on performance due to the low heritability, especially under stress conditions in the field is insufficient (Singh and Singh, 2001; Lad et al., 2003, Aycecik and Yildirim, 2006) therefore, traits have high and significant correlation with grain yield in salinity (biomass weight and HI in the present experiment), in program of breeding are in priority.

REFERENCES

Ali Dinar HM, G Ebert and P Ludders. 1999. Growth, chlorophyll content, photosynthesis and water relations in guava (Psidium guajava L.) under salinity and different nitrogen supply. Gartenbauwissenschaft 64: 54–59.

Ashraf M and PJC Haris. 2004. Potential biochemical indicators of salinity tolerance in plants. Plant Sci.166: 3-16.

Aycecik M And T Yildirim. 2006. Path coefficient analysis of yield and yield components in bread wheat (Triticum aestivum L.) genotypes. Pak. J. Bot. 38(2): 417-424.

Chartzoulakis K and G Klapaki. 2000. Response of two green house pepper hybrids to NaCl salinity during different growth stages. Sci. Hortic.

86: 247–260.

Colmer TD, TJ Flowers and R Munns. 2006. Use of wild relatives to improve salt tolerance in wheat. J. 302 Exp. Bot. 57: 1059-1078.

Ehdaie B and JG Waines. 1989. Genetic variation, heritability and path analysis in landraces of bread wheat from South Western of Iran.

Euphytica 41: 183-190.

El-Hendawy SE, Y Hu ,GM Yakout, AM Awad, SE Hafiz and U Schmidhalter. 2005. Evaluating salt tolerance of wheat genotypes using multiple parameters. Europ. J. Agron. 22: 243–253.

Flower TJ, A Garcia, M Koyama and AR Yeo. 1997. Breeding for salt tolerance in crop plants the role of molecular biology. Acta Physiol.

Plantarum 19: 427-437.

Francois LE, T Donovan and EV Mass. 1984. Salinity and germination of grain sorghum. Agron. J. 76: 741-744.

Francois LE, EW Mass, TJ Donovon and VL Youngs. 1986. Effect of salinity on grain yield and quality, vegetative growth and germination of semi-dwarf and drum wheat. Agron. J. 78: 1053-1060.

Francois LE, CM Grieve,EV Mass and SM Lesch. 1994. Time of salt stress affects growth and yield components of irrigated wheat. Agron. J.

86: 100-107.

Grieve CM and LE Francois. 1992. The importance of initial seed in wheat plant response to salinity. Plant and Soil 147: 197-205.

Grieve CM, SM Lesch EV Maas and LE Francois. 1993. Leaf and spikelet primordia initiation in salt-stressed wheat. Crop Sci. 22: 1286–1294.

Guertin WH and JP Bailey. 1982. Introduction to Modern Factor Analysis. Edward, Brothers. Inc., Michigan. pp:50-51.

Hernandez JA, E Olmos, FJ Corpas, F Sevilla and LA Del Rio. 1995. Salt-induced oxidative stress in chloroplasts of pea plants. Plant Sci. 105:

151–167.

Heidari M, AM Bakhshandeh, H Nadidan, G Fathi and KH Alemisaid. 2006. Effects of salinity and nitrogen rates on grain yield, osmotic adjustments, sodium and potassium uptake in wheat cultivar Chamran.

Iran J Agri. Sci. 37(1): 501-513. (In Persian with English abstract). Hu Y, JJ Oertli and U Schmidhalter. 1997. Interactive effects of salinity and macronutrient level on wheat. I. Growth. J. Plant Nutr. 20: 1155–1167.

Inamullah H, F Ahmad, M Sirajuddin, G Hassan and R Gul. 2006. Diallel analysis of the inheritance pattern of agronomic traits of bread wheat.

Pak. J. Bot. 38(4): 1169-1175.

Lad DB, ND Bhangar, TJ Bhor, GD Mukhekar and AB Biradar. 2003. Correlation and path coefficient analysis in wheat. J. Maharashtra Agric. Univ. 28(1): 23-25 [CAB Absts., 2002/08-2003/10].

Lauchli A and E Epstein. 1990. Plant responses to saline and sodic conditions. In K.K. Tanji (Eds.). 22: 132-141.

Maas EV and CM Grieve. 1990. Spike and leaf development in salt-stressed wheat. Crop Sci. 30: 1309–1313. 303 Maas EV and JA Poss. 1989. Salt sensitivity of wheat at different growth stages. Irrig. Sci. 10: 29–40.

Martin PK, ML Ambrose and RMD Koebner. 1994. A wheat germplasm survey uncovers salt tolerance in genotypes not exposed to salt stress in the course of their selection. Aspects Appl Biol. 39: 215-222.

Munns R and HM Rawson. 1999. Effect of salinity on salt accumulation and reproductive development in the apical meristem of wheat and barley. Aus. J. Plant Physiol. 26: 459-464.

Munns R, A Hare, RA James and GJ Rebetzke. 2000. Genetic variation for improving the salt tolerance of durum wheat. Aust. J. Agric. Res.51:

69-74.

Munns R and RA James. 2003. Screening methods for salinity tolerance: a case study with tetraploid wheat. Plant Soil. 253: 201-218.

Munns R, RA James and A Lauchli. 2006. Approaches to increasing the salt tolerance of wheat and other cereals. J. Exp. Bot. 57: 1025-1043.

Poustini K and A Siosemardeh. 2004. Ion distribution in wheat cultivars in response to salinity stress. Field Crops Res. 85: 125–133.

Qureshi RH, RM Ilyas and Z Aslam. 1980. Screening of wheat (Triticum aestivum L.) for salt tolerance. Pak. J. Agri. Sci.17: 19-25.

Ramage RT. 1980. Genetic Methods to Bred Salt Tolerance in Plant. In: Rains, D. W., R. C. Valentine and A. Hollaender (Eds.) Genetic Engineering of Osmoregulation. New York, Plenum Press. pp:311-318.

Sadat Noori SA, A Roustaei and B Foghi. 2006. Variability of salt tolerance for eleven traits bread wheat in different saline conditions. Agron. J.

5(1): 131-136.

Schachtmann DP and R Munns. 1992. Sodium accumulation in leaves of Triticum species that differ in salt tolerance. Aust. J. Plant Physiol. 19:

331-340.

Siadat H, M Bybordi and MJ Malakouti. 1977. Salt affected soils of Iran: A country report.International symposium on sustainable management of salt affected soils in the arid ecosystem. Cario Egypt, I. S. S. S. and University of Ain Shams. pp: 102-110.

Singh KN, C Ravish and R Chatrath. 1997. Combining ability studies in bread wheat (Triticum aestivum L.) under salt stress environments.

Indian J. Genet and Plant Breed. 57: 127-132.

Singh SB and TB Singh. 2001. Correlation and path analysis in common wheat (Triticum aestivum L.). J. Appl. Biol. 9: 121-124.

Tester M and R Davenport. 2003. Na + tolerance and Na + transport in higher plants. Annal of Bot. 91: 503-527.

References

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