INDIAN JOURNAL OF PURE & APPLIED BIOSCIENCES

ISSN (E) : 2582 – 2845

  • No. 772, Basant Vihar, Kota

    Rajasthan-324009 India

  • Call Us On

    +91 9784677044

Archives

Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2021, Volume : 9, Issue : 3
First page : (161) Last page : (173)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8707

Effects of Manganese on Yield and Yield Attributing Parameters of Rice (Oryza sativa L.)

Aisina Yomso1 and Bhagawan Bharali2*
1,2Department of Crop Physiology, Faculty of Agriculture, Assam Agricultural University,
Jorhat-785013 (Assam), India
*Corresponding Author E-mail: bhagawan.bharali@aau.ac.in
Received: 5.05.2021 | Revised: 9.06.2021 | Accepted: 14.06.2021 

 ABSTRACT

Background: Manganese (Mn) being one of the micronutrients available in acid soils acts crucial role in crop plants. In Assam soil, its concentration is 3-52 ppm whereas in plants the critical limit is 2-3ppm. Although the effects Mn on plants have been well documented, information on its impacts on yield and yield components in upland rice crop grown in Assam was scanty, and deserved its investigation.
Method: A pot experiment was carried out to study the effects of Mn (0, 10,20,30 ppm Mn as MnSO4H2O) foliar spray (each 1000cm3) at  vegetative stage i.e.70days after sowing, on yield and yield components of ten rice genotypes (Kanaklata, Mulagabharu, Kapilee, Disang, Kolong, Joymoti, Jyoti Prasad, Luit, Lachit and Chilarai) cultivated in Assam.
Conclusion: The lower dose of Mn (10ppm) significantly increased panicle length (16.29-37.46%), panicle weight (10.54-19.50%), panicle number per plant (4.54-13.63%), number of seeds per panicle (18.38-36.48%), test weight (7.21-29.15%), high density grains (5.59-30.45%), economic yield (14.40-28.03%), biological yield (32.58-47.70%), and harvest index (3.2-7.90%). 30ppm Mn affected adversely all the physiological attributes in the study. Among the ten genotypes, Kanaklata performed the best followed by Chilarai in the experiment.

Keywords: acid soil, Harvest index, High density grains, Manganese, Rice, Sterility, Yield.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Yomso, A., & Bharali, B. (2021). Effects of Manganese on Yield and Yield Attributing Parameters of Rice (Oryza sativa L.), Ind. J. Pure App. Biosci. 9(3), 161-173. doi: http://dx.doi.org/10.18782/2582-2845.8707

INTRODUCTION

Rice (Oryza sativa L.) is the staple food crop for more than fifty per cent of the world’s population. The sustainable rice productivity in acid soil is expected if the 50% of the total yield losses due to abiotic stresses are mitigated. The use of micro nutrients like manganese (Mn) below a critical limit is crop specific. In India, the extent of arable and non arable acid soils (Harinkhere & Samadhiya, 2016) in North East Hill region is about 21 million comprising of Arunachal Pradesh (6.8 Mha), Assam (4.7 Mha), Meghalaya, (2.24 Mha), Manipur (2.19 Mha) and Mizoram (2.0 Mha).

In Assam, Karbi Anglong district has relatively more area under acid soils (Kumar et al., 2016). In acid soils, Mn is abundant (3-52 ppm in Assam soil), and it’s critical limit is 2-3ppm, whereas in plants it is 15-20 ppm g-1dry weight based on species and genotypes, beyond which Mn becomes toxic to crop plants (Basumatary et al., 2014).
 Manganese activates more than 35 enzymes in plants (Mousavi et al., 2011), and it catalyses splitting of water molecules during photolysis process of photosynthesis (Gardner et al., 1985; Humphrise, 2006; & Aref, 2012). Application of Mn especially on older leaves helps in photoassimilation (Sutedjo, 2008; & Agustina, 2011). Because, Mn influences in chlorophyll synthesis, and its presence is essential in Photo system II (Diedrick, 2010). Nevertheless, an excess of Mn is toxic for most plants (Millaleo et al., 2010). Both low and excess Mn depresses the growth of plants (Dube et al., 2002). Manganese stress increases the peroxidase activity linked to respiration in leaves, and stunts growth (Dube et al., 2001). There is paucity of information on the effects of Mn on rice crop grown in Assam. Hence, an investigation concerning how Mn brings about physiological changes in upland rice was undertaken in acid soil of Assam.

MATERIALS AND METHODS

A pot experiment (January-June, 2019) was carried out at the 'Stress Physiology' experimental site of the Department of Crop Physiology, Assam Agricultural University, Jorhat. The site is geographically located at 26°45′N latitude, 94°12′E longitude having an elevation of 87 m above mean sea level. As a subtropical region, the total rainfall received during the period was 292 mm with the highest in the month of June (149.5mm), and the lowest was in January (6.6 mm). The maximum bright sunshine hour was in the month of January (7.7hrs/day), and the minimum was in the month of May (1.9hrs/day). The relative humidity was in the range of 84-98%, during the experimental period. The soil was acidic in nature with low pH (4.92&5.62), moderate Mn contents (30.2&27.426ppm) initially and at harvesting time of the crop respectively. The rice genotypes viz., Kanaklata, Mulagabharu, Kapilee, Disang, Kolong, Joymoti, Luit, Jyoti prasad, Lachit, and Chilarai were shown in pots prefilled with sandy loamy sol mixed with FYM @50:50, moistened well prior to sowing the seeds thinly. The seedlings at 21 days after sowing (DAS) were transplanted in the experimental pots (following two factorial Completely Randomized Design), filled with the pot mixture (Acid mineral soil and FYM @50:50) for raising plants. NPK fertilizers @ 60:40:20 Kgha-1 in the form of Urea, SSP & MoP were applied amounting 23.25g urea (half dose of N), 89.25g SSP, and 11.857g MoP (full doses) as basal; further 11.625g urea (2nd half dose of N) at the maximum tillering stage of the crop. A constant water supply (2-3cm) was ensured from transplanting till seven days before harvesting along with other cultural operations like weeding and prophylactic measures from time to time. Mn (0, 10, 20 and 30ppm) as MnSO4.H2O (MW:159.08g) solutions were misted on foliage of the rice crop varieties in three splits during tillering to heading stage (i.e. 70 DAS) weekly using hand sprayer. So, the total volume of the solution received by each genotype under respective treatment was 1000cm3. Care was taken to get rid of the drifting of the solutions either from one treatment to another or draining the excess of it from the leaves into the soil.
Five panicles were collected randomly from each variety under treatments. Length of panicle was measured from the base of the panicle to the tip of the spikelet, and average was recorded as panicle length in cm. The individual weight of five panicles was measured; the average was calculated and expressed in gram (g). Five plants in a hill were collected randomly at the time of harvesting from each pot. The number of panicles per plant was counted, and the average was recorded. Five panicles were collected randomly at the time of harvest from each pot. The number of filled grains per panicle was counted and the average was documented. Thousand filled grains were randomly selected from each seed lot of individually harvested pot, and weighed using an electronic balance after proper drying (with ≈14% moisture) at sunlight. Sterile seeds and high density (HD) grains in a seed lot from five panicles were separated using table salt solution of specific gravity: 1.20 as suggested by Barmudoi and Bharali (2016). For economical yield, seed weight from each sample plant was recorded, while in case of biological yield, the total weight of the sample plants excluding root portion was considered. Both the yield parameters were expressed as g/plant. The harvest index (HI) was calculated for each genotype as suggested by Nichi Provinch (1967).

RESULTS AND DISCUSSION

There were significant variations of panicle length due to Mn treatment and the varieties (Table 1). Over all, the highest panicle length was observed at 10ppm Mn (23.889cm) followed by (>) 20ppm (21.776cm)>control (17.623cm), and the lowest was in case of 30ppm (15.512cm) irrespective of varieties. The panicle length increased significantly at10ppm Mn in Joymoti (37.46%) > Lachit (35.39%). In case of treatment 20 ppm Mn, the variety Lachit (32.62%) showed significant increase in the panicle length > Joymoti (27.64%). However, 30 ppm Mn, showed significant reductions in the panicle length (0.49 to 27.32%). On an average, among the genotypes, the highest panicle length was recorded in Disang (21.040cm)>Kanaklata (20.709cm)>Mulagabharu (20.271cm) while the lowest was recorded in Joymoti (18.284cm). These facts are in agreement with Zayed et al. (2011) who reported that plant height and panicle length were significantly higher when rice plant received Mn nutrition in comparison to the control.

Table 1. Variation of panicle length of rice crop under different manganese treatments

Panicle length (cm)

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppmMn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

 

Kanaklata

19.520

 

26.175

 

21.070

16.070

20.709

Mulagabharu

19.385

23.160

22.080

16.460

20.271

Kapilee

19.430

24.045

21.070

15.260

19.951

Disang

19.570

25.050

22.495

17.045

21.040

Kolong

18.895

23.550

22.020

15.350

19.954

Joymoti

14.830

23.715

20.495

14.095

18.284

Luit

16.325

23.605

22.375

15.645

19.488

Jyoti prasad

16.335

23.180

22.355

16.250

19.530

Lachit

15.245

23.590

22.620

14.340

18.949

Chilarai

16.690

22.815

21.180

14.605

18.823

Mean

17.623

23.889

21.776

15.512

 

 

T

V

T X V

 

 

S.Ed (±)

0.045

0.028

0.090

 

 

CD

0.091

0.057

0.182

 

 

 

There were significant differences of panicle weight among the Mn treatments and among the varieties (Table 2). The highest panicle weight was observed at 10ppm Mn (6.481g) followed by (>) 20ppm (5.824g)> control (5.527g), and the lowest was at 30ppm Mn (4.736g) treatment. The panicle weight increased significantly at 10ppm Mn in Chilarai (19.50%) > Kanaklata (18.95%). In case of 20 ppm Mn, Kolong (11.44%) showed significant increase in the panicle weight > Lachit (9.51%) except variety Jyotiprasad (3.92%). However, at 30 ppm Mn, all the rice varieties showed significant reductions in the panicle weight (7.85 to 34.40%). On an average, among the genotypes, the highest panicle weight was recorded in Kanaklata (5.999g) > Mulagabharu (5.721g), Lachit (5.819g) while the lowest was recorded in Kolong (5.418g). Dube et al. (2002) in a field trial complied that yield parameters of rice crop especially plant biomass, panicle weight, grain weight, 1000 grain weight increased with increasing concentration of Mn up to 0.55 mg L-1 followed by a decrease with further increase in Mn.

Table 2. Variation of panicle weight of rice crop under different manganese treatments

Panicle weight (g panicle-1)

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppm
Mn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

Kanaklata

5.730

7.070

6.050

5.145

5.999

Mulagabharu

5.655

6.550

5.775

4.905

5.721

Kapilee

5.470

6.115

5.740

4.410

5.434

Disang

5.410

6.220

6.000

4.745

5.594

Kolong

5.225

6.115

5.900

4.430

5.418

Joymoti

5.645

6.650

6.105

4.200

5.650

Luit

5.520

6.495

5.575

4.820

5.603

Jyoti prasad

5.560

6.335

5.350

5.115

5.590

Lachit

5.565

6.435

6.150

5.125

5.819

Chilarai

5.490

6.820

5.595

4.465

5.593

Mean

5.527

6.481

5.824

4.736

 

 

T

V

T X V

 

 

S.Ed (±)

0.092

0.058

0.185

 

 

CD

0.187

0.118

0.375

 

 

 

There were significant variations of panicle number per plant due to Mn treatments and the varieties (Table 3). The highest panicle number per plant was observed in treatment 10ppm (6.275) followed by (>) 20ppm (5.750)> control (5.625), and the lowest was at 30ppm Mn (5.025). The panicle number per plant increased significantly at 10ppm Mn in variety Mulagabharu (13.63%) > Lachit (13.04%). In case of 20 ppm Mn, Mulagabharu (5.00%) showed significant increase in panicle number per plant> Luit (4.10%) except Disang (5.88%). However, at 30 ppm Mn, all the rice varieties showed significant reductions in the panicle number per plant (8.00 to 26.66%). Overall, there was higher panicle number per plant in varieties under treatment of 10ppm Mn as compared to other doses of Mn treatments. On an average, among the genotypes, the highest panicle number per plant was recorded in Kanaklata (6.875) > Joymoti (6.625)>Chilarai (6.500), while the lowest was recorded in Disang (4.375). Li et al. (2016) reported that 250 mg MnSO4 pot-1 might increase panicle number (20-43%) and 1000 grain weight (5-13%) for Meixiangzhan and Nongxiang18 rice varieties.

Table 3. Variation of panicle number per plant of rice crop at harvest under different manganese treatments

Panicle number

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppm Mn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

Kanaklata

6.750

7.500

7.000

6.250

6.875

Mulagabharu

4.750

5.500

5.000

3.750

4.750

Kapilee

5.250

5.500

5.250

4.500

5.125

Disang

4.500

5.000

4.250

3.750

4.375

Kolong

6.000

6.750

6.250

5.500

6.125

Joymoti

6.500

7.250

6.750

6.000

6.625

Luit

5.750

6.500

6.000

5.250

5.875

Jyoti prasad

5.500

6.000

5.500

4.750

5.438

Lachit

5.000

5.750

5.000

4.250

5.000

Chilarai

6.250

7.000

6.500

6.250

6.500

Mean

5.625

6.275

5.750

5.025

 

 

T

V

T X V

 

 

S.Ed (±)

0.354

0.224

0.707

 

 

CD

0.454

0.454

N/A

 

 

 

Manganese treatment caused significant effects on number of seeds per panicle of the rice varieties (Table 4.). The highest number of seeds per panicle was observed at treatment 10ppm (81.689) followed by (>) 20ppm (68.553)> control (58.771), and the lowest was at 30ppm Mn (51.740). The number of seeds per panicle increased significantly at 10ppm Mn in Disang (36.48%) > Joymoti (35.44%). In case 20 ppm Mn Lachit (23.10%) showed significant increase in the number of seeds per panicle > Kanaklata (18.38%). However, at 30 ppm Mn, all the rice varieties showed significant reductions in the number of seeds per panicle (2.76 to 28.40%). Overall, there was higher number of seeds per panicle in varieties at 10ppm Mn as compared to other doses of Mn. On an average, the highest number of seeds per panicle was recorded in Kanaklata (70.670)> Kolong (67.200)>Luit (65.478), while the lowest was recorded in Chilarai (62.783). Sharma et al. (1991) studied the effects of Mn on Maize (Zea mays L. cv. G2) with 0.55 mg L⁻¹ (sufficient), or 0.0055 mg L⁻¹ (deficient) Mn concentration in the medium of sand. Manganese-deficient plants developed visible deficiency symptoms, showed poor tassel and delayed anther development. Compared to Mn-sufficient plants, Mn-deficient plants produced fewer and smaller pollen grains with reduced cytoplasmic contents. Manganese deficiency reduced invitro germination of pollen grains significantly. Ovule fertility was not significantly affected by Mn. But in Mn-deficient plants, seed-setting and development was reduced significantly. Sawidis and Reiss (1995) studied the influence of different concentrations of the heavy metals including manganese (Mn2+) on pollen germination and tube growth of Lilium longiflorum using light microscopy. Although Mn showed lighter adverse effects with 3 μM and 100 μM, swelling of the tip region and abnormal cell wall organization for the pollen tube growth were detected. In our study, too, decrease in number of seeds might be due to the pollen deformities brought about by higher Mn concentration.

Table 4.Variation of number of seeds panicle per of rice crop under different manganese treatments

Number of seeds panicle-1

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppm
Mn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

Kanaklata

63.035

88.195

77.230

54.220

70.670

Mulagabharu

55.230

78.565

65.410

52.785

62.998

Kapilee

64.270

78.750

66.745

48.975

64.685

Disang

55.460

87.315

66.640

47.295

64.178

Kolong

62.450

80.890

70.265

55.195

67.200

Joymoti

56.405

87.380

65.920

50.275

64.995

Luit

58.405

78.820

70.795

53.890

65.478

Jyoti prasad

63.000

78.745

64.610

49.065

63.855

Lachit

55.275

79.220

71.885

53.790

65.043

Chilarai

54.180

79.010

66.035

51.905

62.783

Mean

58.771

81.689

68.553

51.740

 

 

T

V

T X V

 

 

S.Ed (±)

0.406

0.257

0.812

 

 

CD

0.823

0.521

1.647

 

 

 

The test weight of the rice varieties varied significantly due to Mn treatments (Table 5.). The highest test weight was recorded at 10ppm Mn (23.986g) followed by (>) 20ppm Mn (21.395g)>control (20.288g), and the lowest was at 30ppm Mn (18.307g). The test weight increased significantly at 10ppm Mn in variety Luit (29.15%) > Lachit (19.32%) as compared with control. In case of 20 ppm Mn, the variety Luit (16.38%) showed significant increase in the test weight of rice seed>Disang (10.10%). However, at 30 ppm Mn, all the rice varieties showed significant reductions in the test weight of rice (3.90 to 38.89 %) except Kolong (2.93%). On an average, among the genotypes, the highest test weight was recorded in Jyoti prasad (27.113g) followed by Lachit (25.016g), Joymoti (23.489g) while the lowest was recorded in the genotype Mulagabharu (17.176g). Singh and Patra (2017) reported that the test weight, tillers/m2, plant height, grain and straw yield of wheat increased linearly up to10 kg Mn ha-1.

Table 5. Variation of test weight of rice crop under different manganese treatments

Test weight (g)

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppm
Mn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

Kanaklata

18.010

19.410

18.405

17.050

18.219

Mulagabharu

16.885

18.220

17.350

16.250

17.176

Kapilee

20.240

23.250

20.550

16.685

20.181

Disang

17.900

20.845

19.920

13.950

18.154

Kolong

20.540

24.055

21.450

21.160

21.801

Joymoti

22.190

27.250

23.230

21.285

23.489

Luit

17.960

25.350

21.480

12.935

19.431

Jyoti prasad

26.350

31.150

27.650

23.300

27.113

Lachit

23.900

29.650

24.615

21.900

25.016

Chilarai

18.900

20.680

19.300

18.555

19.359

Mean

20.288

23.986

21.395

18.307

 

 

T

V

T X V

 

 

S.Ed (±)

0.686

0.434

1.372

 

 

CD

1.392

0.880

2.783

 

 

 

There were significant differences of high density (HD) grains due to Mn treatments upon the rice crop (Table 6.).The highest HD grains were found at 10ppm Mn (80.53) > 20ppm Mn (70.916)>control (62.416), and the lowest of it (51.418) was at 30ppm Mn. The HD grain was higher significantly at 10ppm Mn in Joymoti (32.49%) followed by (>) Disang (30.45%). At 20 ppm Mn, Disang (22.54%) showed significant increase in the HD grains > Jyotiprasad (14.22%). However, at 30 ppm Mn all the ten rice varieties reduced HD grains (3.21 to 17.86%) significantly. Overall, there were higher HD grains in varieties treated with 10ppm Mn as compared to other doses of Mn treatment. On an average, among the genotypes, the highest HD grains were recorded in Chilarai (74.675)> Mulagabharu (70.855)> Kolong (69.849) while the lowest was recorded in Disang (55.223). Timotiwu et al. (2017) reported that application of 5 ppm Mn along with 50 ppm of Si increased the filled grain weight and grain yield of rice crop. Venkateswarlu et al. (1977) opined that the grain yield can be enhanced by increasing the HD grains in rice. The percentage contribution of HD grains to total grain emerges as a major determinant of grain yield.  Thus, cultivars possessing a higher production of HD grains would be advantageous even under excess Mn stress condition.

Table 6. Variation of high density (HD) grains of rice crop under different manganese treatments

HD grains (%)

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppm
Mn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

Kanaklata

62.900

81.990

74.130

57.335

69.089

Mulagabharu

65.460

81.895

73.815

62.250

70.855

Kapilee

57.480

79.885

65.495

39.765

60.656

Disang

43.900

74.350

66.440

36.200

55.223

Kolong

68.790

79.995

73.140

57.470

69.849

Joymoti

52.840

85.335

54.350

34.985

56.878

Luit

68.360

79.785

78.170

51.930

69.561

Jyoti prasad

59.480

80.580

73.705

53.280

66.761

Lachit

68.500

79.530

72.180

58.480

69.673

Chilarai

76.450

82.040

77.730

62.480

74.675

Mean

62.416

80.539

70.916

51.418

 

 

T

V

T X V

 

 

S.Ed (±)

1.139

0.721

2.279

 

 

CD

2.311

1.462

4.623

 

 

 

There were significant variations of grain sterility in the varieties due to Mn treatments (Table 7). The highest grain sterility was observed at 30ppm Mn (48.583%) followed by (>) control (37.584%)>20ppm Mn (29.085%), and the lowest was at 10ppm Mn (19.462%). The sterility per cent increased significantly at 30 ppm Mn in Joymoti (17.85%) > Kapilee (17.71%). In case of 10 ppm Mn, Disang (22.54%) showed significant reductions in the sterility per cent of rice seed > Jyotiprasad (14.23%). At 20 ppm Mn, all the rice varieties showed significant reductions in the sterility (5.59 to 32.50%). Overall, there was higher grain sterility in varieties at 30ppm Mn as compared to other doses of Mn. On an average, among the genotypes, the highest grain sterility was recorded in Disang (44.778%) > Joymoti (43.123%)>Kapilee (39.344%), while the lowest was recorded in the genotype Chilarai (25.325%). Jhanji et al. (2015) studied Mn in relation to differential production and allocation of carbohydrates between source and sink organs of diverse wheat genotypes. It unravelled the relationship between Mn efficiency of a genotype, production and partitioning of carbohydrates during grain filling period. The plants were grown with two treatments of Mn viz. low Mn (no Mn fertilizer, 0 ppm) and high Mn (50 mg Mn kg−1 soil applied as MnSO4.H20). The deficiency of Mn hampered the production of dry matter and carbohydrates in Mn-efficient and Mn-inefficient genotypes differentially. Spikelet sterility, one of the constraints in rice productivity, influenced the grain yield directly by limiting the number of filled grains per unit area (Vergara et al., 1966).  The lower grain yield due to any unfavourable factor viz., low light, is caused mostly by high sterility of spikelets. It possess a consequent reduction in the number of HD grains per panicle per unit ground area, and imbalance in source and sink relationship in rice (Yoshida & Parao, 1976). Rao et al. (1986) pointed that the partially filled grains appear in declining order with the initiation of grain-filling, and the number of grain increasers linearly with time.

Table 7. Variation of grain sterility of rice crop under different manganese treatments

Grain sterility (%)

Treatments (T)→    
                                                 
         Varieties (V)↓

0 ppm
Mn
(Control)

10 ppm
Mn

20 ppm
Mn

30 ppm
Mn

Mean

Kanaklata

37.100

18.010

25.870

42.665

30.911

Mulagabharu

34.540

18.105

26.185

37.750

29.145

Kapilee

42.520

20.115

34.505

60.235

39.344

Disang

56.100

25.650

33.560

63.800

44.778

Kolong

31.210

20.005

26.860

42.530

30.151

Joymoti

47.160

14.665

45.650

65.015

43.123

Luit

31.640

20.215

21.830

48.070

30.439

Jyoti prasad

40.520

19.420

26.295

46.720

33.239

Lachit

31.500

20.470

27.820

41.520

30.328

Chilarai

23.550

17.960

22.270

37.520

25.325

Mean

37.584

19.462

29.085

48.583

 

 

T

V

T X V

 

 

S.Ed (±)

1.139

0.721

2.279

 

 

CD

2.311

1.462

4.623

 

 

 

There were significant effects of Mn treatment (Fig.1.) on economic yield of the rice varieties. The highest economic yield was recorded at 10ppm Mn (13.608g) followed by (>) 20ppm Mn (11.160g)> control (10.384g), and the lowest was at 30ppm Mn (7.898g). On an average, among the genotypes, the highest economic yield was recorded in Kanaklata (13.856g) > Joymoti (12.616g)>Chilarai (12.170g) while the lowest was recorded in Disang (8.234g). The economic yield of rice varieties increased significantly at 10 ppm Mn in Chilarai (28.03%)> Kanaklata (27.09%). In case of treatment 20 ppm Mn, Kolong (15.04%) showed significant increase in the economic yield> Joymoti (10.98%), whereas the variety Jyotiprasad (3.98%) had reductions in economic yield as compared with the control. At 30 ppm Mn, all the rice varieties showed significant reductions in the economic yield (20.18 to 45.52%). These findings are supported by Barroset al. (2019) who reported that among the treatments (0.5, .0, 1.5, 2.0 and 2.5 kg ha-1 ), the production of the highest grain yield (7,375 kg ha-1 ) was at 1.5 kg ha-1 Mn applied as foliar at 15 days after emergence of rice sedlings. Zulfiqar et al. (2020) studied effects of Mn (0.02 M solution) in improving the productivity of rice in transplanted flooded rice and direct-seeded aerobic rice production systems. Mn nutrition augmented considerably the economic yield. Similar findings were also reported by Kumar et al. (2017) who conducted an experiment comprising 3 levels of manganese concentration 0, 5 and 10 kg ha-1 upon rice variety HUBR2- 1. In the study, Mn 5 kg ha-1 showed the maximum growth attributes and yield of rice.

There were significant changes of biological yield because of Mn treatment, and the varieties (Fig.2.). The highest biological yield was observed at 10ppm Mn treatment (50.053g) followed by (>) 20ppm (32.806g)> control (27.848g), and the lowest was at 30ppm (19.916g) Mn. On an average, among the genotypes, the highest biological yield was recorded in Kanaklata (46.094g) >Joymoti (43.531g)> Chilarai (35.625g) while the lowest was recorded in Disang (25.816g). The biological yield of rice varieties increased significantly at 10 ppm Mn in Joymoti (61.18%) > Jyoti prasad (47.70%). At 20 ppm Mn, Chilarai (24.75%) showed significant increase in the biological yield>Lachit (24.51%) but Jyoti prasad (1.05%) showed reductions in the biological yield of the rice. However, at 30 ppm Mn, all the rice varieties showed significant reductions in the biological yield (16.80 to 67.80%). Ibrahim et al. (2018) studied the effects of Mn in the form of MnSO4 (0, 5, 10, 15 and 20 kg ha-1) on the growth and yield of rice grown in soil containing low manganese content (0.70 mg kg-1). Manganese @10 kg ha-1 produced the tallest plant, higher number of tillers, the highest grain yield and highest dry matter weight. Wang et al. (2015) also reported that rice vegetative growth was inhibited by supra optimal concentration of Mn, induced wilting in older leaves. So, shoot height decreased significantly with increase in Mn concentration. Narender and Malik (2016) also reported that the highest yields of grain and straw were recorded with 25 mg Mn kg-1 and 90 mg NO3- kg-1 soil application. A study conducted by Abbas et al. (2011) reported that wheat economic yield, a component of biological yield was increased significantly at Mn (0, 4, 8, 12, 16 Kgha-1) with NPK fertilizers (@150-100-60Kgha-1). The highest economic yield was recorded at 16kg Mnha-1 in the experiment.

There were significant changes of HI due to Mn treatment and the varieties (Fig.3.). The highest HI was observed at 10ppm Mn (43.9%) followed by (>) 20ppm Mn (41.2%)> control (39.4%), and the lowest was in 30ppm (36.8%). On an average, among the genotypes, the highest HI was recorded in Kanaklata (47.4%) > Joymoti (46.1%)>Chilarai (47.4%) while the lowest HI was recorded in Disang (34.4%). The HI increased significantly at 10 ppm Mn in Luit (7.50%) > Mulagabharu (5.10%) as compared with control. In case of 20 ppm Mn, Kolong (3.60%) showed significant increase in HI > Kanaklata (7.60%). However, at 30 ppm Mn, all the rice varieties showed significant reductions in HI (0.70 to 5.00%). Shahrajabian et al. (2020) also found increases in HI along with high values of thousand grain weight, grain yield, grain protein and manganese content of grain with the application of manganese sulfate.  

         

It's concluded that as a micronutrient, Mn played vital roles in plant growth and development thereby the yield and yield attributes in rice crop grown under the acidic soil condition. Manganese is dose responsive. So, when Mn was applied in lower quantity (10ppm Mn as MnSO4.H2O), it acted positively, but at higher quantity beyond 10ppm Mn, it was detrimental to physiology including economic yield of rice crop. Among the ten genotypes tested, the genotype Kanaklata performed the best followed by Chilarai in the investigation.

         

Acknowledgements

         

          The authors express deep sense of gratitude to Assam Agricultural University for rendering all sorts of facilities for pursuing Master's degree by the first author in the department of Crop physiology at Jorhat.

REFERENCES

Abbas, G., Khan, M. Q., Khan, M. J., Tahir, M., Ishaque, M., & Hussain (2011). Nutrientuptake, growth and yield of wheat (Triticum aestivum L.) as affected by manganese application. Pak. J. Bot., 43(1), 607-616.
Agustina, L. (2011). Micro nutrient I (Fe, Mn, Zn, Cu, B, Mo dan Cl) importance of nutrient deficiency and toxicity (in Indonesian). Post-Graduate Program University of Brawijaya. Malang: 25-32.
Aref, F. (2012). Manganese, iron, and copper contents in leaves of maize plant (Zea mays L.) grown with different boron and zinc micronutrients. African Journal of Biotechnology 11(4), 896-903.
Bandeira Barros, H., Emiliano Souza, M., Sandro Dario, A., de Almeida Santos, M. P., & Nascimento, V. L. (2019). Manganese foliar supplementation impacts rice yield in tropical lowlands. J. Plant Nutr. 42(14), 1567-1574.
Barmudoi, B., & Bharali, B. (2016). Effects of light intensity and quality on physiological changes in winter rice (Oryza sativa L.). International Journal of Environmental and Agriculture Research, 2(3), 2454-1850.
Basumatary, A., Rashmi, B., & Medhi, B. K. (2014). Spatial variability of fertility status of soils of upper Brahmaputra valley zone of Assam. Asian Journal of Soil Science9(1), 142-148.
Diedrick, K. (2010). Manganese fertility in soybean production. Pioneer Hi-Bred Agronomy Sciences 12(2), 124-127.
Dube, B. K., Khurana, N. E. E. N. A., & Chatterjee, C. (2002). Yield, physiology and productivity of rice under manganese stress. Indian Journal of Plant Physiology7(4), 392-395.
Dube, B. K., Sinha, P., & Chatterjee, C. (2001). Relative susceptibility of black gram genotypes to manganese deficiency Indian J. Plant Physiol. 6, 61-66.
Gardner, F. P., Pearce, R. B., & Mitchell, R. L. (1985). Physiology of crop plants. The Iowa State University Press. Iowa. 98-129.
Goodroad, L. L., & Jellum, M. D. (1988). Effect of N fertilizer rate and soil pH on N efficiency in corn. Plant and soil106(1), 85-89.
Harinkhere, S., &Samadhiya, V. K. (2016). Responses of rice genotypes grown under acidic and neutral soils of northern hills of Chhattisgarh, India. Plant Archives16(1), 384-386.
Humphrise, J. M. (2006). Handbook of plant nutrition. Edited by Allen Barker, V., & David, J. Pilbeam. CRC Press. New York. 351‒366.
Ibrahim, F., Anebi, S. I., & Michael, A. P. (2018). Response of Rice (Oryza sativa) to the Application of Manganese in Makurdi, Benue State, Nigeria. Journal of Horticulture and Plant Research, 17.
Jhanji, S., Sadana, U. S., & Shukla, A. K. (2015). Manganese efficiency in relation to differential production and allocation of carbohydrates between source and sink organs of diverse wheat genotypes. Acta physiologiae plantarum37(2), 38.
Kumar, A., Sen, A., Upadhyay, P. K., & Singh, R. K. (2017). Effect of Zinc, Iron and Manganese Levels on Quality, Micro and Macro Nutrients Content of Rice and Their Relationship with Yield. Communications in Soil Science and Plant Analysis48(13), 1539-1551.
Kumar, R., & Meena, V. S. (2016). Towards the Sustainable Management of Problematic Soils in Northeast India. In Conservation Agriculture. Springer, Singapore. pp. 339-365.
Li, M., Ashraf, U., Tian, H., Mo, Z., Pan, S., Anjum, S. A., & Tang, X. (2016). Manganese-induced regulations in growth, yield formation, quality characters, rice aroma and enzyme involved in 2-acetyl-1-pyrroline biosynthesis in fragrant rice. Plant Physiology and Biochemistry103, 167-175.
Millaleo, R., Reyes-Díaz, M., Ivanov, A. G., Mora, M. L., & Alberdi, M. (2010). Manganese as essential and toxic element for plants: transport, accumulation and resistance mechanisms. Journal of soil science and plant nutrition10(4), 470-481.
Mousavi, S. R., Shahsavari, M., & Rezaei, M. (2011). A General Overview on Manganese (Mn) Importance for Crops Production. Australian Journal of Basic and Applied Sciences 5(9), 1799-1803.
Narender & Malik, R. S. (2016). Effect of nitrate and manganese application on Manganese pools in soil and its uptake in wheat (Triticum aestivum L.) An international quarterly journal of environmental sciences. 10(1&2), 97-103.
Nichi Provinch, A. A. (1967). In: Nichi-Provinch, A. A. (eds.): Photosynthetic Production System, pp. 3-36.
Rao, S. P. B., Venkateswrulu, V., & Rao, S. (1986). Studies on grain filling and grain growth rate of different rice varieties in relation to chlorophyll content. Indian Journal of Plant Physiology, 29(2), 160-165. 
Sawidis, T., & Reiss, H. D. (1995). Effects of heavy metals on pollen tube growth and ultrastructure. Protoplasma185(3-4), 113-122.
Shahrajabian, M. H., Khoshkharam, M., Sun, W., & Cheng, Q. (2020). The Impact of Manganese Sulfate on Increasing Grain Yield, Protein and Manganese Content of Wheat Cultivars in Semi Arid Region. Journal of Stress Physiology & Biochemistry16(1).
Sharma, C. P., Sharma, P. N., Chatterjee, C., & Agarwala, S. C. (1991). Manganese deficiency in maize affects pollen viability. Plant and soil138(1), 139-142.
Singh, V. I. N. A. Y., & Patra, A. B. H. I. K. (2017). Effect of FYM and manganese on yield and uptake of nutrients in wheat (Triticum aestivum L.). Annals of Plant and Soil Research19(4), 381-384.
Sutedjo, M. M. (2008). Fertilizer and how to fertilize (in Indonesian). RinekaCipta. Jakarta: 177.
Timotiwu, P. B., Nurmauli, N., & Yulianti, P. (2017). Application of manganese and silica through leaves and their effect on growth and yield of rice in rice field in village of Sinar Agung, Sub-District of PulauPanggung, district of Tanggamus, Lampung Province, Indonesia. MAYFEB Journal of Agricultural Science4, 48-60.
Venkateswarlu, B., Prasad, V. V. S. S., & Rao, A. V. (1977). Effects of low light intensity on different growth phases in rice (Oryza sativa L.). Plant and Soil47(1), 37-47.
Vergara, B. S., Tanaka, A., Lilis, R., & Puranabhavung, S. (1966). Relationship between growth duration and grain yield of rice plants. Soil Science and Plant Nutrition12(1), 31-39.
Wang, Wei, Xue Qiang Zhao, Zhen Min Hu, Ji Feng Shao, Jing Che, Rong Fu Chen, Xiao Ying Dong, and Ren Fang Shen. (2015). "Aluminium alleviates manganese toxicity to rice by decreasing root symplastic Mn uptake and reducing availability to shoots of Mn stored in roots." Annals of botany 116(2), 237-246.
Yoshida, S., & Parao, F. T. (1976). Climatic influence on yield and yield components of lowland rice in the tropics. Climate and rice20, 471-494.
Zayed, B. A., Salem, A. K. M., & El Sharkawy, H. M. (2011). Effect of different micronutrient treatments on rice (Oriza sativa L.) growth and yield under saline soil conditions. World J. Agric. Sci7(2), 179-184.
Zulfiqar, U., Hussain, S., Ishfaq, M., Ali, N., Yasin, M. U., & Ali, M. A. (2020). Foliar manganese supply enhances crop productivity, net benefits, and grain manganese accumulation in direct-seeded and puddled transplanted rice. J. Plant Growth Regul., pp. 1-18.

 

 


 




Photo

Photo