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Year : 2022, Volume : 17, Issue : 1
First page : ( 180) Last page : ( 184)
Print ISSN : 2229-628X. Online ISSN : 2582-2683. Published online : 2022 January 4.
Article DOI : 10.5958/2582-2683.2022.00039.9

Association of nutritional, cooking quality and yield traits in F1 and F2 population of rice (Oryza sativa L.)

Lingaiah N*, Raju Ch Surender, Sarla N., Venkanna V, Reddy D. Vishnu Vardhan

Assistant Professor (GPBR), Agricultural College, Mulugu Road, Warangal-506007, PJTSAU, Telangana, India

*E-mail: nlrashi80@gmail.com

Received:  16  ,  2021; Accepted:  07  ,  2021.

Abstract

The magnitude of association between nutritional, cooking quality, yield and its attributing characters in nutrient rich rice genotype crosses studied during Kharif and Rabi seasons grain yield per plant exhibited significant correlations between the number of grains per plant, test weight, kernel length and L/B ratio in both F1 and F2 generations, respectively. The association analysis with cooking and nutritional quality traits indicated existence of a significant positive association between kernel length and volume expansion ratio and also with kernel elongation ratio. The study further confirmed that there is significant correlation between gelatinization temperature and cooking quality traits besides amylase and protein contents. Zinc and iron contents were negatively correlated with cooking quality traits viz., kernel length, volume expansion ratio, kernel elongation ratio and with amylase content. The correlation between zinc and iron content is significantly positive.

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Keywords

Rice, L/B ratio, Amylase, Protein, Zinc and iron.

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Materials and Methods

The investigation was carried out at the Regional Agricultural Research Station, Warangal, (Professor Jayashankar Telangana State Agricultural University) located at an altitude of 304 M above MSL, 17.97° N latitude and 79.60° E longitude during 2 years 2014-15 and 2015-16 utilizing both Kharif and Rabi crop seasons in each year. The main crop seasons in Telangana State can be called as rainy (June-Dec) and post rainy (Nov-April) seasons. Entire study was conducted as two experiments. The experimental material comprised of 10 parents viz., MTU 1010, WGL-32100, Ramappa, RP-Bio-5478-270, RP-Bio-5478-166, RP-Bio-5478-176, DRR Dhan-40, RP-Bio-5478-185, NH-686, NH-787, their 45 F1 hybrids (generated from ten parents, crossed in diallel fashion without reciprocals during previous Kharif, 2014) and corresponding F2’s (seed obtained from F1 generation raised during successive Rabi, 2014-15) and two promising check varieties viz. BPT 5204 and Chittimuthyalu. Sufficient seed of fresh crosses was preserved and half was sown to produce F2 seed.

During Kharif 2014, ten parents were transplanted each in four rows in a crossing block at spacing of 20 x 15 cm and 4 sets were maintained. Crosses were effected in a 10 x 10 half diallel design to produce 45 F1 s. Selected parents were sown at staggered intervals of seven days to facilitate continuous availability of pollen during crossing. Twenty eight days old seedlings were transplanted at spacing of 30 x 15 cm. Hybridization was done by clipping method of emasculation as suggested by Jennings et al. (1981). Spikelets were emasculated in the afternoon and pollination was done in morning of next day between 11 – 1.00 P.M. Parents were crossed in a half diallel fashion without reciprocals to generate 45 F1 s hybrids. Adequate care was taken to produce sufficient seed required for studying different generations.

After the crosses were effected during kharif, 2014, in the next rabi 2014-15 itself, all the 45 F1s without reciprocals along with parents and two check varieties were grown for producing sufficient F2 seed. The material (Parents, F1s and F2s) was planted in randomized block design replicated thrice during final season Kharif, 2015 in a separate plot for studying combining ability, heterosis and inbreeding depression. Parents, hybrids and check varieties were planted in one row of 3.0 m length adopting a spacing of 20 cm between the row and 15 cm between the plants within a row with single seedling per hill. Each entry of F2 was planted with same spacing maintaining 120 plants for cross in each replication (8 rows).

Five parent plants and F1s, twenty from BC1, BC 2 and forty from F2 were tagged at random for each entry in each replication. The analysis for all quantitative data and quality data was done as per the standard procedures of IRRI. The mean data was used for final statistical analysis using Indostat to study the association between nutritional and cooking quality traits in rice.

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Results and Discussion

In the present investigation, simple correlation studies were estimated for yield and its components for F1 and F2 generation, whereas, grain quality traits viz., kernel length, volume expansion ratio, kernel elongation ratio, gelatinization temperature, amylase content, protein content, iron and zinc contents in F1 generation were recorded. The results are furnished in Table 1 & 2.

The data on days to 50 per cent flowering exhibited significant negative association in F1 and F2 generations with grain yield per plant as was reported by Chandrasekhar Haradari and Shailaja Hittalmani (2017). The days to 50 per cent flowering recorded a significant negative correlation with test weight (-0.3177, -0.3579), kernel L/b ratio (-0.2986, -0.6160) in F1 and F2 generations, respectively. Significant positive association was observed between this trait with total and productive tillers per plant in F2 generation. (Table 1). The plant height recorded a significant negative correlation with grain yield as was earlier reported by Ratna et al. (2015). In F1 generation, this character had non significant negative association with tillers per plant, number of grains per panicle, test weight, kernel length and kernel L/B ratio while non significant positive association with panicle length, spikelet fertility percent, kernel breadth. Plant height had negative significant association with number of grains per panicle, test weight, kernel length and kernel L/b ratio in F2 generation.

For total number of tillers per plant, correlations were found to be non significant negative association with grain yield, number of grains per panicle, test weight, kernel length, kernel breadth, kernel L/b ratio in both generations. This trait had significant positive association with number of productive tillers per plant in F1 and F2 generations, respectively.

The trait, productive tillers per plant, had positive correlation with yield per plant in F1 generation while negative correlation in F2 generation. This trait registered non significant negative association with number of grains per panicle, spikelet fertility percent, test weight, kernel length, kernel breadth, and kernel L/B ratio in F1 and F2 generation while in positive association with pikelet fertility percent. Positive association between number of productive tillers per plant with grain yield per plant earlier reported by Ashok et al. (2016), Edukondalu et al. (2017), Manjunatha et al. (2017) and Srikanth Thippaniet al. (2017). Number of effective tillers plant-1 had negative significant correlation with panicle length in F2 as was reported by reported by Ratnaet al. (2015). The panicle length recorded significant positive association with kernel breadth (0.3630/0.3296) and positive association with grain yield, number of grains per panicle and test weight at both generations. It had negative association with spikelet fertility percent and kernel length. But, significant positive association of panicle length with grain yield plant-1 earlier reported by Vinoth et al. (2016) and Edukondalu et al. (2017)Rukmini Devi et al. (2017). The character number of grains per panicle registered significant positive correlation with grain yield, test weight, kernel length, kernel length, kernel L/B ratio in two generations. (0.3407, 1.2713) and significant positive phenotypic association with yield (0.4703). Significant positive association of number of grains per panicle with grain yield per plant earlier reported by Vinoth et al. (2016), Ashok et al. (2016), Dhurai et al. (2016) and Chandrashekhar Haradari and Shailaja Hittalmani (2017). Spikelet fertility percent had positive correlation was observed with grain yield per plant (0.0784) in F1 generation while negative correlation in F2 generation. It had non significant negative correlation with kernel length, kernel L/B ratio in both generations.

Test weight had significant positive association with yield per plant (0.7708, 0.6436), kernel length (0.5440, 0.4515) and kernel l/b ratio (0.4931, 0.4271) in both generations. Significant positive correlation of test weight with grain yield per plant reported by Ashok et al. (2016) and Rukmini Devi et al. (2017). Negative correlation of this trait with number of productive tillers/plant in F1 and F2 generations. These results are in accordance with the results of Moosavi et al. (2015). Grain yield per plant exhibited significant correlations with number of grains per plant, test weight, kernel length and L/B ratio in both F1 and F2 generations respectively. Productive tillers per plant exhibited non significant positive correlation in F1 while negative in F2. (Table 1). Rukmini Devi et al. (2017) reported the positive association of grain yield per plant with filled grains per panicle and effective tillers.

Kernel length had significant positive association with kernel L/b ratio (0.9366, 0.8815) (Vijay Kumar, 2015) and grain yield per plant (0.6141/0.5447) (Meena et al. (2016) and Srikanth Tippani et al. (2017) in two generations and it had negative association with kernel breadth in F2 generation.(-0.0006). Similar result was reported with grain breadth by Patel et al. (2014). Kernel breadth had a non significant positive correlation with grain yield per plant, (Madhavi Latha et al. 2005). Kernel breadth had negatively significant association with kernel L/b ratio (-0.3156, -0.4629) irrespective of generations where similar result were reported by Meena et al. (2016), Suman Rawte and Ritu R Saxena (2017). Kernel L/B ratio registered significant positive correlation with grain yield (0.4968/0.4655) in F1 and F2 generation as was reported by Madhavilatha et al. (2005).

The study on simple correlation suggested that selection of plants with more number of productive tillers per plant, number of grains per panicle and test weight, which had significant positive association with yield, may be taken in to account in rice breeding program for yield improvement. In addition, kernel length, L/B ratio also had significant positive correlation with grain yield per plant.

Relationship among nutritional and cooking quality traits

The overall results of correlation analysis with cooking and nutritional quality traits indicated that a significant positive association existed between kernel length and volume expansion ratio and also with kernel elongation ratio. Hence, these three traits are interrelated positively. Mahmuda Khatun et al., (2003) reported a significant correlation between kernel length and kernel length after cooking. There existed significant positive correlation between amylose content and other quality traits viz., kernel length, volume expansion ratio, kernel elongation ratio and protein content. Further, amylose content has significant positive association with zinc content. In similar way, protein content also possessed a significant positive association with kernel length, volume expansion ratio, kernel elongation ratio and also the amylase content. However, its association with iron and zinc content was negative but not significantly. It is interesting to note that both zinc, iron contents were negatively correlation with cooking quality traits viz., kernel length, volume expansion ratio, kernel elongation ratio and with amylase content. The correlation between zinc, iron content is significantly positive, this indicates that it is possible to develop pure lines or hybrids with high iron and zinc content simultaneously. (Table 2)

The negative association between micronutrients (iron and zinc) with important cooking quality traits like volume expansion ratio, kernel elongation ratio is quite disappointing to note that it is difficult to develop best cooking quality traits with high iron and zinc contents. The study further indicated that higher protein content and moderate to high amylase content is required for developing rice with best volume expansion ratio and kernel elongation ratio. The study also confirmed that there is significant correlation between gelatinization temperature and cooking quality traits besides amylase and protein contents. EL-Hissewy et al., (1992) has also reported significant positive correlation of gelatinization temperature and amylase content with kernel elongation after cooking and cooking time which is in agreement with our findings. They also reported positive association between protein content and kernel expansion which is in support of our present findings. Oko et al., (2012) also reported a significant positive correlation between gelatinization temperature, kernel length after cooking and amylase content, though not at significant level. They also reported a negative correlation between amylase content and kernel elongation which is contrary to our present study.

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Conclusion

The study conclusively suggested that selection of plants with more number of productive tillers per plant, number of grains per panicle and test weight having significant positive association with yield may be used in the rice breeding programs. Kernel length, L/B ratio also had significant positive correlation with grain yield per plant, where as the zinc and iron contents were negatively correlated with cooking quality traits viz., kernel length, volume expansion ratio, kernel elongation ratio and amylase content.

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Tables

Table 1.:

Simple correlations coefficients among grain yield, its components and grain quality in F1 and F2 generations



CharacterGenerationDays to 50 per cent floweringPlant height (cm)Total no. of tillers plant-1No. of productive Tillers/plantPanicle length (cm)No. of grains panicle-1SPF (%)Test Weight (gKernel length (cm)Kernel breadth (cm)L/B ratio Grain yield (cm) plant-1 (g)
Days to 50 per cent floweringF11.00000.20060.05180.0416-0.0341-0.4008-0.0871-0.3177*-0.28990.0194-0.2986*-0.4893**
F21.00000.3027*0.3637*0.3571*0.1763-0.3960*0.1754-0.3579*-0.6710**0.0497-0.6160**-0.4787**
Plant height (cm)F11.0000-0.1568-0.22150.2982-0.28090.0410-0.2932-0.20060.0238-0.2017-0.3083*
F21.0000-0.1092-0.13060.0718-0.3903**0.1256-0.4175**-0.3548**-0.0387-0.2947*-0.4170**
Total no. of tillersF11.00000.9125**0.0602-0.0273-0.1839-0.1452-0.3660*-0.0748-0.3365*-0.0258
F21.00000.5014**-0.0662-0.06930.1014-0.1763-0.3012*-0.1756-0.1994-0.1073
No. of productive tillersF11.00000.0064-0.0126-0.1553-0.0549-0.1769-0.0401-0.17290.0726
F21.0000-0.0706-0.09320.2060-0.0404-0.3567*-0.1490-0.2427-0.0330
Panicle length (cm)F11.00000.0275-0.09010.0687-0.27660.3630*-0.3796*0.0475
F21.00000.1058-0.03830.0894-0.14530.3296*-0.2991*0.1001
No. of grains/plantF11.00000.16150.7305**0.4368**0.22140.3244*0.8461**
F21.0000-0.05020.6196**0.3648*0.03500.2946*0.7618**
SPF (%)F11.00000.1200-0.0894-0.0419-0.07090.0784
F21.0000-0.2410-0.19890.0407-0.1946-0.1048
Test Weight (g)F11.00000.5440**0.06200.4931**0.7708**
F21.00000.4515**-0.04870.4271**0.6436**
Kernel length (cm)F11.00000.02910.9366**0.6141**
F21.0000-0.00060.8815**0.5447**
Kernel breadth (cm)F11.0000-0.3156*0.2379
F21.0000-0.4629**0.0336
L/B ratio (cm)F11.00000.4968**
F21.00000.4655**

Significant at 5 per cent level

Significant at 1 per cent level


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Table 2.:

Simple correlations coefficients among quality components in F1 generation



CharacterKernel length (mm)Volume expansion ratioKernel elongation ratioAmylose content (%)Protein content (%)Iron content (%)Zinc content (%)Gelatinization temperature
Kernel length (mm)1.00000.8560**0.8154**0.7948**0.3737*0.2985*0.6264**0.6351
Volume expansion ratio1.00000.7644**0.7007**0.3010*-0.2543-0.5387**0.5577
Kernel elongation ratio1.00000.7930**0.4705**-0.3962**-0.5516**0.3917
Amylose content (%)1.00000.4539**-0.1759-0.5257**0.4502
Protein content (%)1.0000-0.0672-0.08500.2008
Iron content (%)1.00000.4281**-0.0988
Zinc content (%)1.0000-0.5289

Significant at 5 per cent level

Significant at 1 per cent level

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References

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