Madras Agricultural Journal
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Research Article | Open Access | Peer Review

Identification of Drought-Tolerant Maize Inbred Lines Through Morphophysiological Traits

Volume : 111
Issue: June(4-6)
Pages: 130 - 141
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Abstract


Drought stress is a critical constraint to maize productivity, particularly in tropical regions where irrigation resources are limited. To identify drought-tolerant maize genotypes and establish physiological benchmarks for future breeding, a total of 90 diverse inbred lines were screened under managed drought conditions during the Rabi-Summer 2019 season at Tamil Nadu Agricultural University, Coimbatore. Drought stress was imposed from the pre-flowering to flowering stages. Significant genotypic variation was observed for key morpho-physiological traits, including anthesis-silking interval (ASI), chlorophyll content, relative water content (RWC), photosynthetic rate, and transpiration rate. Genotypes such as CBM-DL-448, CBM-DL-435, and CBM-DL-238 displayed high grain yield, efficient photosynthesis, and better canopy temperature regulation under stress. Further evaluation of 14 top-performing lines under well-watered conditions revealed no yield penalty, indicating stable performance across environments. The study highlights the utility of integrating secondary traits such as ASI, SPAD, and CTD with yield for screening drought tolerance. It provides a foundation for selecting parental lines for drought-resilient breeding programs. The findings also offer a physiological dataset that can aid in future efforts on marker-assisted selection and developing drought-resilient maize hybrids.

DOI
Pages
130 - 141
Creative Commons
Copyright
© The Author(s), 2025. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Drought tolerance Stress tolerance Abiotic stress Maize

Introduction


Maize is a multipurpose crop with a global share of 12–13% of its production used for human consumption, with the rest being utilized for several other purposes. Fifteen million farmers in India are engaged in maize cultivation. Only 15% of the cultivated area of maize is under irrigation, and water limitation continues to be a major challenge for the sustainability of maize production. Nutrient and water availability remain the two most restrictive resources in crop production (Boyer, 1982; Lea and Azevedo, 2006; Moser et al., 2006). Drought affects maize throughout its growth cycle, with germination and early developmental stages being particularly sensitive (Edmeades et al., 1999; Zenda et al., 2020).

Turner (1996) indicated that for plants to survive water imbalances, they must possess a range of both morphological and biochemical mechanisms that enable growth and reproduction under water-limited conditions. Adaptation to climate change may involve the use of crop varieties that are tolerant to higher temperatures and drought, and resistant to emerging pests and diseases (Pye-Smith, 2011; Fahad et al., 2017). Unless strong adaptation measures are implemented, especially against heat and drought stresses, yield losses of 10% to 20% in maize and other staple crops are projected, potentially leading to a marked decline in human welfare.

Approaches that enhance the performance of maize genotypes under combined drought and heat stress (DSHTS) are, therefore, essential to sustaining productivity. Breeding for drought tolerance remains the most practical approach to mitigating the impact of drought stress (Messmer et al., 2009; Bolaños et al., 2021). Identifying base populations suitable for breeding is the first critical step (Flint‐Garcia et al., 2005), and the identification of adaptive traits associated with drought tolerance is vital for designing effective breeding strategies.

Significant research has been undertaken to unravel the genetic and molecular mechanisms underlying drought tolerance in maize, with the aim of integrating this knowledge into traditional breeding programs through molecular markers, genomic selection, and advanced phenotyping (Gupta et al., 2020; Adebayo et al., 2023). In view of these ongoing challenges and scientific advancements, the present study was undertaken with the following objective: (1)to screen maize inbred lines for drought tolerance based on physiological traits,(2)identify drought-tolerant maize inbred lines with potential for use as parental lines in future breeding programs and, (3)generate baseline data on physiological and morphological responses of maize inbred lines under drought stress for use in marker-assisted selection and other breeding strategies

Methodology


Materials and Methods

            The experiment was carried out at Block 36E of Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India (11.0136 °N, 76.9378 °E; 436.8 m a.s.l.) during Rabi-Summer 2019. The field consisted of sandy clay loam soil with a pH of 8.17, electrical conductivity (EC) of 1.25 dS/m, and a field capacity of 30.65%. A total of 90 diverse maize inbred lines sourced from the Indian Agricultural Research Institute, New Delhi, were evaluated using an Augmented Block Design. Each block included two control (inbred checks: UMI 1200 and UMI 1230). Each plot measured 3.5 m in length and was sown with 15 seeds at a spacing of 60 cm × 25 cm.Weather data during the crop growth period are presented in Figure 1. Although rainfall occurred during April and May, it was insufficient to mitigate drought stress under elevated temperatures. Maximum daytime and night-time temperatures reached 38.5 °C and 27 °C, respectively, which adversely affected fertilization, seed set, and grain filling. Optimal temperatures for maize growth in tropical lowlands are approximately 27 °C (day) and 20 °C (night). Drought stress was therefore imposed during the late vegetative and reproductive stages. The data were recorded on physiological and morphological traits as follows.  The top performing inbred lines under drought stress were further evaluated under irrigated condition.

Figure 1. Weather data prevailing during the experimental period

 

 

Physiological Traits

  • Chlorophyll Index was measured using a SPAD meter (SPAD 502, Minolta Co., Tokyo) at 65 days after sowing (DAS) between 09:00 and 12:00 hrs. SPAD values were recorded from the top, middle, and bottom sections of the topmost fully matured leaf on three randomly selected plants per plot.
  • Canopy Temperature and Canopy Temperature Depression (CTD) were recorded at 68 DAS using a FLUKE VT04 Visual IR Thermometer on three central plants per plot. CTD was calculated as

CTD=Ta−Tc,

Where Ta​ is the ambient temperature and Tc is the canopy temperature.

  • Leaf Rolling was observed at 66 DAS when soil moisture dropped below 20%, with recordings taken during 10:00–12:00 hrs and 15:30–17:00 hrs using the CIMMYT (2000) scale:
    1 = turgid leaves;
    3 = V-shaped rolling;
    5 = onion-type rolling.
  • Chlorophyll Content and Relative Water Content (RWC):
    SPAD readings were taken at 65 DAS from the leaf above the cob (10 plants per replication). Chlorophyll Stability Index was determined according to Murphy (1962). Relative water content was calculated following Turner (1981).
  • Leaf Area and Leaf Area Index (LAI):
    At anthesis (60 DAS), leaves from three randomly selected plants per plot were measured using a leaf area meter. LAI was computed using plant spacing (60 cm × 20 cm = 1200 cm² per plant).
  • Gas Exchange Parameters:
    Photosynthetic rate, stomatal conductance, and transpiration rate were recorded at 65 DAS using the LI-6400XT Portable Photosynthesis System on the leaf above the cob under steady light and CO₂ conditions.

 

Biometrical Traits

Five central plants were randomly selected from each plot and evaluated for the following traits: days to tasseling and silking, plant height, leaf length and breadth, number of tassel branches, tassel length, cob placement height, cob length, number of kernels per row, number of rows per cob, 100-kernel weight, and single plant yield.

Data Analysis

Data analysis was performed using the IBM SPSS Statistics version 22 (IBM Corp., Armonk, NY, USA).

Results Discussion


Evaluation of inbred lines under drought stress condition

            Drought remains one of the most devastating abiotic stresses limiting maize productivity worldwide, with combined drought and heat stress potentially causing yield losses exceeding 40% (Lobellet al., 2011). The development of drought-tolerant maize genotypes is thus a critical strategy to mitigate the adverse impacts of climate change and ensure food security. The present study was undertaken to assess genetic variability in a large set of maize inbred lines and to identify promising lines for further breeding efforts based on their physiological and yield-related responses to drought stress. The total of 90 genotypes were assessed for flowering and secondary traits such as grain yield, chlorophyll content, leaf rolling, and anthesis-silking interval (ASI), which are well-established indicators of drought tolerance. The genotypes exhibited marked variation in their responses, particularly in flowering behaviour under the imposed water stress. Analysis of variance (Tables 1 and 2) revealed significant differences among the inbred lines for most of the measured yield-related and physiological traits, indicating genetic variability. All traits showed statistically significant variation (p < 0.05) except for leaf rolling, which did not vary significantly across genotypes.

Table1. ANOVA for different morphophysiological traits in the preliminary phenotyping experiment

Source

LL

LB

TL

TB

EH

CL

SW

GW

Block

78.2278*

0.4216*

12.928*

5.6338

89.6942*

3.7276

8.7249

14.6116

TREAT

147.329**

1.7674**

36.1416**

15.4016**

103.354**

9.2476**

12.3805**

1084.9637**

CHECKS

979.0133**

10.1475**

204.9645**

158.0467**

379.5492**

115.2795**

60.1897**

14074.6189**

T. ENTRY

131.0962**

1.4706**

30.4698**

9.0107

111.142**

4.5696

8.8132

106.7955**

CHKvTEST

-1734.6905

-5.3415

-134.3626

13.6081

-1694.5593

1.4655

138.6336**

36183.3194**

ERROR

13.7633

0.1507

6.2285

6.0467

16.7092

4.4525

6.462

21.448

 

Table 2. ANOVA for different morphophysiological traits in the preliminary phenotyping experiment .

Source

LL

LB

TL

TB

EH

CL

SW

GW

Block

78.2278*

0.4216*

12.928*

5.6338

89.6942*

3.7276

8.7249

14.6116

TREAT

147.329**

1.7674**

36.1416**

15.4016**

103.354**

9.2476**

12.3805**

1084.9637**

CHECKS

979.0133**

10.1475**

204.9645**

158.0467**

379.5492**

115.2795**

60.1897**

14074.6189**

T. ENTRY

131.0962**

1.4706**

30.4698**

9.0107

111.142**

4.5696

8.8132

106.7955**

CHKvTEST

-1734.6905

-5.3415

-134.3626

13.6081

-1694.5593

1.4655

138.6336**

36183.3194**

ERROR

13.7633

0.1507

6.2285

6.0467

16.7092

4.4525

6.462

21.448

 

The observations of morpho-physiological traits are presented in Table 3.  The plant height has been ranged from 58.3 cm to 167 cm with the average of 105.68 cm. The average ear placement heights were 56.29 cm and ranges between 36 cm and 77.1 cm. Anthesis-silking interval (ASI) was another critical trait reflecting drought resilience. ASI, in particular, has been widely recognized as a reliable proxy for reproductive success under water stress (Bänziger et al., 2000; Edmeades et al., 1993), and shorter ASI is strongly associated with enhanced synchrony between male and female flowering, resulting in improved seed set and grain yield. Several genotypes, including CBM-DL-95, 448, 549, 535, 322, 36, and 110, exhibited no ASI delay, indicating good synchronization between male and female flowering. A one-day ASI delay, which is generally acceptable under stress, was observed in genotypes such as CBM-DL-169, 165, 38, 152, 216, 238, 360, 200, and 80. In contrast, prolonged ASI exceeding seven days was recorded in several lines, including CBM-DL-264, 491, 225, 382, 353, 498, 488, 273, 442, 415, 201, 451, and 291, suggesting poor floral synchrony under stress. Our results are in agreement with earlier findings by Ziyomo and Bernardo (2013). The average grain weight across all genotypes was 27.92 g. Based on grain weight, high-yielding genotypes included CBM-DL-448 (57.4 g), CBM-DL-435 (51.7 g), CBM-DL-238 (50.2 g), CBM-DL-322 (49.3 g), CBM-DL-200 (46.2 g), and CBM-DL-289 (46.0 g). Moderately high yields were recorded in genotypes such as CBM-DL-111, CBM-DL-157, CBM-DL-164, CBM-DL-80, CBM-DL-38, CBM-DL-360, and CBM-DL-333, with grain weights ranging from approximately 41 to 45 g. Cob length also varied considerably, with the longest cobs observed in CBM-DL-358 (16.4 cm) and CBM-DL-113 (15.0 cm), while CBM-DL-95 and CBM-DL-378 recorded the shortest cobs. .

Table3.Morphophysiological traits means of inbred lines in the preliminary phenotyping experiment.

 

Inbred number

CC

CTD

LR

DT

DS

ASI

PH

LL

LB

TL

NTB

EH

CL

100KW

GW

CBM-DL-157

22.870

-0.48**

4

59

63

4

119.1

73*

7.3

28.2

9

61.5

9.6

27.64

44.56*

CBM-DL- 169

36.69**

2.520

1

59

60**

1*

94.8**

77**

7

35.2*

5

68.9*

9.9

26.45

25.25

CBM-DL -165

43.52**

1.440

1

54**

55**

1*

124.8**

71

8.2*

37.1**

5

62.4

12.2

29.24

42.84*

CBM-DL- 333

31.770

1.940

1

53**

55**

2

135.2*

73*

6.4

21.2

3

68*

9.4

32.12

40.97*

CBM-DL 548

36.35**

1.580

1

55**

59**

4

167**

71

7.1

31.6

4

55.9

11.2

24.97

35.08

CBM-DL 217

32.660

1.520

3

65

67

2

103.1

68.5

9.2**

34.1

7

57.3

12.5

32.04

33.18

CBM-DL-13

39.22**

1.480

1

56**

59**

3

125.40

82**

6.4

32.8

6

59.6

13.1

26.04

28.22

CBM-DL -75

32.730

1.90

0

63

67

4

58.30

69.5

6.5

20.6

14

56.4

12.8

27.6

23.17

CBM-DL-264

27.660

0.780

2

67

75

8

103.50

54

8.5**

33.3

6

60.1

11.2

29.74

17.26

CBM-DL -95

35.19**

3.340

3

64

64

0**

840

72.5*

6.6

25.2

7

44.8

5.5

26.3

14.9

CBM-DL -373

29.730

1.50

0

58

62*

4

1120

61

5.9

22.3

5

49.4

11

31.8

40

CBM-DL -405

26.350

3.020

3

63

69

6

97.3**

33

7

28.6

13

46.7

11.1

26.5

36.4

CBM-DL -17

24.470

2.440

4

60

62*

2

107.1**

35

5

25.2

4

36

11.2

29.1

25

CBM-DL -367

34.22*

3.940

2

59

62*

3

83.3**

44

6.3

310

7

49.4

11.3

33.4

22.4

CBM-DL-21

29.450

2.360

1

63

65

2

119.5**

67

8*

24.4

5

64.7

9.1

23.7

17.8

CBM-DL -377

33.240

1.940

4

68

74

6

85.3**

52

6.2

19.7

7

43.9

8.3

27.3

16.5

CBM-DL -376

28.020

1.440

4

61

67

6

95.4**

80.5**

7.2

24.5

14

60.6

9.5

22.3

16.4

CBM-DL -139

17.770

-2.12**

3

58

64

6

97.8**

35

5.5

26.9

7

49

8.6

24.5

21.8

CBM-DL -38

37.74**

1.980

0

55**

56**

1*

135.4**

52.5

4.6

28.7

4

71.7

8.2

27.6

41.9*

CBM-DL -503

32.640

0.3*

5

61

68

7

110.2**

76**

8*

34.1

11

58.7

14

26.7

29.9

CBM-DL -262

26.410

3.880

2

58

60**

2

119.1**

79**

8.5**

29.9

8

59.6

11.2

31.1

26.1

CBM-DL -275

23.590

-1.6**

4

58

60**

2

112**

57

6.6

26.1

6

58.7

12.4

28.8

25.3

CBM-DL -491

36.64**

-1.46**

3

58

66

8

121.7**

65.5

6

24.8

10

67.1

10.7

27.9

24.3

CBM-DL -152

28.630

3.780

3

66

67

1*

104.9**

58

5.2

27.3

5

61.5

12.4

30.8

38.8

CBM-DL -527

24.740

1.480

2

56**

60**

4

129.7**

63

9**

290

14

56.9

12.4

32.9

37.3

CBM-DL -63

34.14*

-2.2**

3

60

64

4

114.6**

69

7

28.2

18

69.8

10.3

26.7

27.5

CBM-DL -159

30.470

-0.58**

3

56**

59**

3

126.2**

61

6

28.2

7

79.1

6.2

26.8

17

CBM-DL -442

27.920

2.420

3

64

73

9

140.1**

74*

8.3**

24.2

6

60.6

10.7

25.1

17.3

CBM-DL -354

38.99**

2.10

0

57**

60**

3

104.9**

62

5

16.3

3

73.5

10.3

29

25.3

CBM-DL -216

32.730

3.820

1

55**

56**

1*

155.7**

71

4.8

25.3

4

73.4

9.1

25.2

19.8

CBM-DL -120

34.05*

2.380

1

57**

60**

3

120.8**

47.5

4.9

26.1

7

60.6

10.3

28.5

17.8

CBM-DL -23

35.68**

1.080

1

61

67

6

128.2**

49

7

18.9

5

69.4*

12.4

25.7

30.5

CBM-DL -42

23.640

3.130

4

59

66

7

100**

72.5*

5

34.9*

5

63

9.9

29.5

26.3

CBM-DL -289

28.820

0.920

3

58

60**

2

95.5**

59.4

7.6

270

8

50.6

10.1

30.5

46**

CBM-DL -313

39.48**

0.06**

2

58

62*

4

106.3**

67.8

9.2**

30.5

14

71.5**

9.8

30.3

41.8*

CBM-DL -265

32.760

1.70

1

58

60**

2

136.6**

57

7.4

43**

4

75.7**

12.7

25

33.7

CBM-DL -372

32.790

0.980

3

57**

60**

3

102.5**

71.6*

6.6

38**

7

42.5

11.6

28.8

33.7

CBM-DL ­225

33.43*

2.140

3

57**

65

8

97.7**

63.4

6.5

30.2

4

42.6

13

26.7

33.3

CBM-DL -398

24.850

0.1**

4

56**

62*

6

86.5**

74.4*

7.2

27.3

10

77.1**

13.6

29.1

32.9

CBM-DL -316

27.170

4.020

3

66

73

7

97.1**

55

6.1

24.1

6

52.4

11.2

29

28.3

CBM-DL -533

31.380

3.520

0

54**

57**

3

140.1**

42.2

4.8

35.8*

9

46.6

14

27.8

24.9

CBM-DL -448

21.770

3.560

4

67

67

0**

77.8**

61.5

7.4

30.3

14

54

8

26.1

57.4**

CBM-DL -238

25.440

1.980

3

57**

58**

1*

114.6**

55.9

7.2

33.6

5

57.4

12.8

25.3

50.2**

CBM-DL -358

26.240

3.680

0

58

61**

3

113.1**

68.4

7.3

30.5

8

57.8

16.4

30.3

31.9

CBM-DL -382

36.49**

4.180

2

60

68

8

112.9**

64

7.8

32.8

9

59.6

12.2

26.7

28.7

CBM-DL -113

35.01**

0.38*

2

63

63

0**

134.9**

69

7.7

23.1

9

68*

15

27.8

28.3

CBM-DL -203

32.350

1.420

2

58

60**

2

106.3**

55

6.6

30.2

9

60.2

8.7

26.4

22.4

CBM-DL -415

25.260

-3.24**

3

66

75

9

104**

63

8.1*

21.4

12

72.6**

7.7

27

17.6

CBM-DL -451

33.020

1.580

0

68

78

10

73.8**

65

8*

30.7

10

38.3

9.1

28.7

20.9

CBM-DL -164

36.66**

0.860

2

58

64

4

136.8**

71

5

27.3

9

57.8

12.4

30.8

44.5*

CBM-DL -329

28.950

-0.59**

2

59

62*

3

58.3**

76**

5

29.5

5

44.8

9.1

19.8

13.9

CBM-DL -332

24.640

2.320

2

59

62*

3

144.8**

59

8*

180

6

68*

12.8

25.1

21.8

CBM-DL -378

25.420

2.680

4

58

63

5

118.2**

63

5

26.5

9

59.6

5.9

26.6

15.1

CBM-DL -201

25.850

2.910

2

70

79

9

115.5**

81**

8*

240

10

55.9

6.1

29.6

12.3

CBM-DL -151

29.110

4.110

1

67

73

6

89.4**

54

5.5

21.4

5

43.9

10.3

31.7

29.8

CBM-DL -145

28.810

3.860

2

67

74

7

90.7**

51

6.1

27.3

8

30.9

14.6

28.8

27.2

CBM-DL -83

34.94**

-0.56**

1

58

63

5

114.5**

39

6.2

16.5

15

41.1

7.4

32.8

17.3

CBM-DL -356

32.410

2.760

0

60

60**

0**

110.6**

41

7

29.9

10

50.4

13.7

25.3

28.5

CBM-DL -543

25.480

0.36*

2

65

72

7

74.7**

33

5.3

26.5

8

45.7

10.6

25.2

17.2

CBM-DL -270

28.950

-0.82**

2

69

76

7

92**

37

5.5

29.9

7

36.5

12

23.8

16.8

CBM-DL -529

32.780

2.50

0

58

62*

4

101.7**

53

5.9

270

9

49.4

7.1

25

16

CBM-DL -360

39.25**

3.80

2

68

69

1*

124.5**

64

7.4

8.2

7

64.3

9.3

27.1

41.9*

CBM-DL -549

28.090

-0.78**

1

58

58**

0**

103.5**

48

4.5

19.3

10

61.5

9.8

24.7

22.9

CBM-DL -535

27.050

4.480

4

68

68

0**

102.6**

61

6.8

21.8

11

67.1

11.6

27.8

22

CBM-DL -111

32.520

1.020

3

60

64

4

98.1**

59

6

32.1

12

57.8

8

21.9

45*

CBM-DL -307

36.12**

20

1

59

61**

2

102.2**

64

8*

31.6

10

57.8

11

25.7

21.5

CBM-DL -531

28.310

3.40

3

59

61**

2

75.1**

64

7.4

29.5

9

50.4

10.3

22.9

13.6

CBM-DL -435

33.62*

1.240

0

60

65

5

107.5**

70

7

26.5

10

62.4

7.3

28.6

51.7**

CBM-DL -558

33.47*

0.22*

0

71

76

5

96**

60

6.5

30.7

11

55.9

11.8

23.8

21.9

CBM-DL -142

35.27**

1.520

2

54**

59**

5

90.7**

59

6

37.5**

6

43.9

9.5

30.8

20.6

CBM-DL -331

33.380

1.560

3

66

68

2

88.4**

75**

7.4

34.5*

9

58.7

8.3

24.8

19.8

CBM-DL -353

29.960

4.120

3

68

76

8

69.4**

63

6.6

21.8

10

38.3

9.5

28.6

26.4

CBM-DL -84

35.32**

5.10

1

58

60**

2

123.1**

62

6

28.6

5

55

9.9

29.8

20.1

CBM-DL -291

21.870

0.54*

4

58

68

10

80**

45

5.5

28.2

8

36.5

11

34.5

20.1

CBM-DL -322

38.22**

3.820

2

56**

56**

0**

108.4**

61

6

34.1

6

54.1

10.2

23.7

49.3**

CBM-DL -363

30.160

4.620

0

59

62*

3

110.6**

73*

8.8**

28.6

11

71.7**

9.9

28

14.8

CBM-DL -223

30.820

1.340

1

59

61**

2

76**

54.5

6

25.2

5

55

11.8

24.5

25.5

CBM-DL -36

25.880

20

1

61

61**

0**

118.6**

49

6.3

26.1

7

57.8

14

27.5

24.5

CBM-DL -202

23.090

1.10

2

64

69

5

99.5**

54

7.6

26.5

6

41.1

9.9

21.8

23.8

CBM-DL -506

27.070

2.380

2

60

67

7

88.9**

68

8.4**

27.3

10

51.3

11.2

27.1

34.4

CBM-DL -200

33.49*

1.940

1

58

59**

1*

92.9**

69

4.4

28.6

6

50.4

6.8

25.2

46.2**

CBM-DL -441

32.740

3.340

3

57**

61**

4

72.9**

58

8*

25.2

11

48.5

9.9

27.6

26.7

CBM-DL -260

32.490

2.460

3

56**

59**

3

109.3**

60

6

32.4

8

58.7

10.7

32.2

19.9

CBM-DL -110

35.64**

3.40

2

60

60**

0**

96.9**

56

8.9**

240

6

55.9

10.1

28.1

25.2

CBM-DL -498

30.050

1.460

4

61

69

8

94.2**

60

7.2

23.1

9

63.3

11.2

34.2

23.1

CBM-DL -50

30.160

3.960

1

58

64

6

87.6**

57

7.4

31.2

6

45.7

13.3

31.4

36.6

CBM-DL -488

23.240

3.50

2

63

71

8

111.5**

71

8.4**

20.1

10

63.3

12.1

25.7

24.9

CBM-DL -80

35.23**

4.10

0

59

60**

1*

123.5**

76**

8.8**

29.9

9

61.5

9

22.1

42.4*

CBM-DL -314

32.850

0.660

3

61

66

5

92**

58

6.5

19.3

7

49.4

10.3

27.1

21.7

CBM-DL -273

27.580

0.960

3

59

67

8

84.4**

57

6.5

21.4

7

40.2

9.1

28.1

21.1

Test mean

30.8124

1.8631

2.0556

60.3667

64.3889

4.0222

105.6844

61.1344

6.7644

27.4389

8.0222

56.2956

10.5856

27.5782

27.9262

CD (0.05)

2.5977

1.3185

3.0072

2.4311

2.2091

2.6089

13.8109

10.3882

1.0869

6.9883

6.8855

11.4461

5.9085

7.1181

12.968

 

 

CC: Chlorophyll content (spad units), CTD- Canopy temperature depression, LR- Leaf Rolling, DT- Days to Tasseling (days) , DS- Days to Silking (days), ASI- Anthesis Silking interval (days), PH- Plant Height (cm),  LL- Leaf Length (cm), LB- Leaf Breadth (cm), TL-Tassel Length (cm), NTB- Number of Tassel Branches (cm), EH- Ear Height (cm), CL- Cob Length (cm), 100KW-  Hundred kernel height (g), GW- Grain Weight (g). 

 

Leaf rolling scores under drought stress further differentiated the genotypes. Some lines, including CBM-DL-533, 358, 363, 75, 373, 529, 435, 558, 451, 356, 38, and 80, maintained turgid leaves with a score of zero, indicating better water retention and drought tolerance. On the other hand, lines such as CBM-DL-17, 275, 157, 378, 377, 376, 398, 42, 498, 291, 448, 535, and 503 showed fully rolled leaves, potentially compromising photosynthetic activity.The mean chlorophyll content across the inbred lines was 30.81 SPAD units. Several genotypes maintained significantly higher chlorophyll levels under stress, including CBM-DL-165 (43.52 SPAD), CBM-DL-313 (39.48), CBM-DL-13 (39.22), CBM-DL-360 (39.25), CBM-DL-354 (38.99), and CBM-DL-322 (38.22). Other lines with comparatively high SPAD values included CBM-DL-38, 491, 548, 95, 164, 23, 382, 113, 307, 142, 84, 110, and 80, suggesting that these genotypes may have sustained higher photosynthetic activity during drought stress. The genotypes maintains unrolled or less-rolled leaves under water deficit, suggesting efficient water use strategies and osmotic adjustment. Similar responses have been linked to sustained stomatal conductance and photosynthesis under drought (Campos et al., 2004; Trachsel et al., 2016).  Overall, the inbreds such as CBM-DL-448, CBM-DL-435, and CBM-DL-238, exhibited high grain yield, shorter ASI, and high chlorophyll retention under drought stress. These genotypes will serves as the potential candidate for drought tolerance breeding in maize and can be used as the parents in the drought tolerant hybrid development.  

Evaluation of Selected Inbred Lines under Irrigated Conditions

            To address concerns regarding potential yield penalties under non-stress conditions, a phenomenon commonly observed in drought-bred materials (Edmeades et al., 1993). The top 14 lines performing well under drought stress conditions were evaluated further under well-watered conditions. Analysis of variance (Table 4) indicated significant differences among genotypes for all measured traits, confirming the presence of genetic variability. The mean values of the morpho-physiological traits for each genotype are presented in Table 5. In terms of photosynthetic efficiency, the highest photosynthetic rates were recorded in CBM-DL-238 (41.82 μmol CO₂ m⁻² s⁻¹), CBM-DL-360 (41.67 μmol CO₂ m⁻² s⁻¹), and CBM-DL-435 (41.34 μmol CO₂ m⁻² s⁻¹), indicating superior carbon assimilation potential under optimal moisture conditions. In contrast, the lowest rate was observed in the check line UMI 1200, which recorded a photosynthetic rate of 27.71 μmol CO₂ m⁻² s⁻¹. When assessing transpiration rates (TR) under drought stress, CBM-DL-289-1 (1.065 mmol H₂O m⁻² s⁻¹), CBM-DL-333-1, and CBM-DL-435-1 (both 1.00 mmol H₂O m⁻² s⁻¹) exhibited the highest rates, suggesting active gas exchange under limited water availability. In contrast, the lowest TR values were recorded in CBM-DL-200-1 and CBM-DL-38-1 (0.385 mmol H₂O m⁻² s⁻¹), as well as in the check UMI 1230 (0.395 mmol H₂O m⁻² s⁻¹), reflecting a more conservative water use strategy. Under irrigated conditions, transpiration rates were notably higher, with CBM-DL-322-1 (2.36 mmol H₂O m⁻² s⁻¹), CBM-DL-435-1 (2.305 mmol H₂O m⁻² s⁻¹), and CBM-DL-313-1 (2.27 mmol H₂O m⁻² s⁻¹) recording the highest values, indicating increased stomatal conductance and potential for higher photosynthetic productivity.

Table 4. ANOVA for morpho-physiological traits in evaluation of selected drought tolerant inbred lines under irrigated conditions.

Source of variation

df

CC

LA

LAI

RWC

LOV

PR

SC

TR

CL

NKR

NK/R

100KW

SPY

Replications

1

0.551

13.261

0.023

7.703

4.938

3.84

0.01

0.198*

0.32

1.125

9.031

0.828

1.569

Treatments

15

17.869**

3387403.239**

3.921**

67.602**

396.269**

26.5**

0.004**

1.971**

12.879**

9.658**

35.365**

53.761**

2604.848**

Error

15

3.787

25.465

0.027

16.326

4.907

3.759

0.022

0.038

0.063

0.592

4.565

0.978

7.913

* and**Significant at 5 and 1 % level

 

CC: Chlorophyll content (spad units), LA: Leaf area (cm2), LAI: Leaf area index, RWC: Relative water content, LOV: Leaf orientation value, PR: Photosynthetic Rate (ᶙmol m-2s-1), Stomatal conductance (mol H2O m-2s-1), TR: Transpiration rate (mmol H2O m-2s-1), CL: Cob length (cm), NK/R: Number of kernels per row, NKR: Number of kernel rows, SPY: Single plant yield (gm), 100 KW: 100 Kernel weight (gm).

 

            With respect to yield parameters, all evaluated inbred lines outperformed the adapted check varieties UMI 1200 and UMI 1230. The highest single plant grain yields were obtained in CBM-DL-448 (196.4 g) and CBM-DL-164 (196.1 g), highlighting their strong yield potential under irrigated conditions. In terms of 100-kernel weight, CBM-DL-289 (44.62 g), CBM-DL-333 (43.92 g), and CBM-DL-435 (43.44 g) recorded the highest values, demonstrating superior seed development. Conversely, UMI 1230 registered the lowest 100-kernel weight at 25.14 g. Cob length also varied significantly across genotypes, with CBM-DL-164 producing the longest cobs (20.7 cm), whereas UMI 1230 had the shortest (11.2 cm), further reinforcing the performance gap between selected inbreds and checks. Interestingly, our findings showed no evidence of yield depression in these genotypes. On the contrary, they performed comparably or even better than the standard checks (UMI 1200 and UMI 1230), with genotypes like CBM-DL-448 and CBM-DL-164 achieving yields close to 200 g per plant. This supports the idea that it is possible to breed for drought tolerance without compromising performance in favorable environments, a goal that has been emphasized in recent breeding strategies (Cairns & Prasanna, 2018; Messina et al., 2015). In terms of chlorophyll content, UMI 1200 unexpectedly recorded the highest SPAD value at 55.77, suggesting a high level of greenness and chlorophyll concentration under irrigated conditions. On the other hand, CBM-DL-238 registered the lowest chlorophyll content at 47.96 SPAD units, despite its high photosynthetic rate, suggesting that factors other than chlorophyll concentration may be contributing to its photosynthetic efficiency. Variation in leaf area and leaf area index (LAI) was also prominent among the evaluated inbred lines. CBM-DL-111 recorded the largest leaf area (7339.8 cm²), indicating a higher potential for light capture and photosynthesis. In contrast, CBM-DL-313 had the smallest leaf area (3470.08 cm²).  The genotypes with lower LAI could be better suited for drought-prone environments due to reduced transpiration surface (Hammer et al., 2009).  From the overall results, the inbred CBM-DL-448 has formed well under both irrigated and drought stress condition and can be serves as the potential parents for the development of drought tolerant maize hybrids.

Table 5. Mean values of various physiological and yield traits of 16 selected maize inbred lines under irrigated conditions.

 

Genotypes

CC

LA

LAI

RWC

LOV

PR

SC

TR

CL

NKR

NK/R

100KW

SPY

CBM-DL-38

55.05ab

3564.15m

4.075h

74.785defgh

63.988a

33.323c

0.202f

6.483c

16.45g

12de

31cdef

37.601c

124.315f

CBM-DL-80

51.04bcde

5712.94f

6.445d

78.44bcdefg

54.314b

36.808bc

0.235de

6.939b

16.85fg

14bc

32.5bcd

33.345ef

154.705d

CBM-DL-111

50.14cde

7339.8a

8.065a

89.67a

37.386e

35.468c

0.273bc

7.737a

17.35ef

15b

27.5efgh

33.958de

103.109h

CBM-DL-157

49.12de

4917.01j

5.359fg

79.005bcdefg

63.22a

36.177c

0.243d

6.681bc

17.6e

14bc

30defg

36.559c

139.38e

CBM-DL-164

53.5abc

5660.96g

6.425d

71.955fgh

46.65c

34.543c

0.234de

5.824de

20.7a

18a

35.5abc

32.796ef

196.1a

CBM-DL-200

53.82abc

6186.05c

6.74cd

70.805gh

38.603e

34.876c

0.215ef

5.966d

14.1i

13cd

25h

35.623cd

117.725g

CBM-DL-238

47.96ef

3576.46l

4.058h

76.71defgh

46.132cd

41.817a

0.286b

6.654bc

20.45a

11e

31.5cde

37.036c

143.813e

CBM-DL-289

52.23abcd

5503.91h

5.996e

79.765bcdef

63.005a

36.75bc

0.252cd

5.781de

15.35h

12de

25.5gh

44.628a

143.593e

CBM-DL-313

44.88f

3470.08op

3.954h

83.325abcd

48.975c

35.104c

0.24d

5.298f

18.9c

17a

26.5fgh

40.938b

164.277c

CBM-DL-322

53.57abc

2983.03q

3.418i

86.12ab

62.801a

37.12bc

0.295b

5.646def

19.5b

14bc

38.5a

34.15de

184.066b

CBM-DL-333

48.62def

4415.83k

5.039g

85.41abc

41.798de

34.137c

0.232de

4.718g

18.35d

14bc

33bcd

43.929a

193.586a

CBM-DL-360

49.75cde

5971.15e

6.516d

81.075abcde

26.179g

41.343a

0.333a

4.338g

16.65g

13cd

31.5cde

37.473c

152.359d

CBM-DL-435

47.22ef

6153.81d

6.956bc

77.345cdefg

31.414f

41.675a

0.23de

4.317g

17.2ef

12de

31.5cde

43.441a

157.305d

CBM-DL-448

51.23bcde

6374.93b

7.224b

68.335h

48.077c

40.645ab

0.335a

5.473ef

18.3d

18a

36.5ab

31.512f

196.943a

UMI 1200

55.77a

3489.9n

3.982h

77.565bcdefg

24.428g

27.713d

0.327a

4.435g

13.55j

12de

28.5defgh

31.787f

108.116h

UMI 1230

51.22bcde

5231.87i

5.686ef

74efgh

23.757g

36.732bc

0.341a

5.882de

11.2k

12de

24h

25.136g

71.472i

CV

3.82

0.1

2.919

5.154

4.918

5.31

4.46

3.389

1.47

5.569

6.998

2.728

1.915

CD @ 0.05

4.147

10.754

0.35

8.61

4.721

4.132

0.025

0.416

0.533

1.639

4.553

2.107

5.994

 

CC: Chlorophyll content (spad units), LA: Leaf area (cm2), LAI: Leaf area index, RWC: Relative water content, LOV: Leaf orientation value, PR: Photosynthetic Rate (ᶙmol m-2s-1), Stomatal conductance (mol H2O m-2s-1), TR: Transpiration rate (mmol H2O m-2s-1), CL: Cob length (cm), NK/R: Number of kernels per row, NKR: Number of kernel rows, SPY: Single plant yield (gm), 100 KW: 100 Kernel weight (gm).

Conclusion


This study successfully identified a subset of maize inbred lines exhibiting superior drought tolerance, characterized by shorter anthesis-silking intervals, higher grain yield, and favorable physiological traits such as high chlorophyll content and efficient water use under stress. Notably, these genotypes also maintained good performance under well-watered conditions, indicating their potential for stable yield across diverse environments without significant yield penalties. These findings provide a valuable foundation for breeding programs aimed at developing drought-resilient maize hybrids, and the selected lines can be further utilized for combining ability studies and marker-assisted selection to accelerate genetic gains in drought tolerance

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