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Research article · 2026 · Full text

International Journal of Horticulture and Food Science

Influence of directional photosynthetic radiation on panicle health, malformation dynamics and morphological traits in mango (Mangifera indica L.) varieties

Shubham Singh PatelSK PandeySK SharmaAshish KumarReena NairRS RamakrishnanVedant GautamParul MehraBadal Verma

Volume 8(3) · Pages 208–216 · DOI: 10.33545/26631067.2026.v8.i3b.501 ↗

Research areasPlant Physiology and Cultivation StudiesPlant Water Relations and Carbon DynamicsHorticultural and Viticultural Research

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Abstract

Author-written

Mango panicle malformation is a major constraint affecting productivity, yet its interaction with microclimatic factors such as directional radiation remains inadequately understood. The present study was conducted to evaluate the influence of incident photosynthetic radiation from different canopy directions on panicle health, malformation and associated morphological traits in five mango varieties (Dushehari, Langra, Amrapali, Fazli and Sunderja) under field conditions. The experiment was laid out in an asymmetrical factorial randomized block design with three replications, considering varieties and four directional exposures (north, south, east and west). The results revealed significant variation among varieties, directions and their interaction for all studied traits. Among the varieties, Langra exhibited superior performance with the highest number of healthy panicles and the lowest malformation percentage, whereas Sunderja and Fazli showed greater susceptibility to malformation. Directional influence was pronounced, with the south-facing canopy producing maximum healthy panicles and minimum malformation, while the north direction recorded the highest malformation incidence. Total panicle number was primarily governed by varietal potential, whereas panicle health and malformation were strongly influenced by radiation environment. Morphological traits further indicated that healthy panicle length was highest in Dushehari, while malformed panicles exhibited greater elongation in Amrapali and Sunderja, suggesting altered growth behaviour under stress conditions. Correlation and multivariate analyses demonstrated a strong positive association between healthy and total panicles, and a negative relationship between healthy panicles and malformation percentage, highlighting the detrimental effect of malformation on productivity. The findings emphasize that both genetic factors and directional radiation play a crucial role in regulating panicle development in mango. Selection of tolerant varieties such as Langra, combined with favourable canopy orientation, can serve as an effective strategy to minimize malformation and enhance productivity under varying environmental conditions.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Mango panicle malformation significantly reduces productivity, but how it interacts with microclimatic factors like directional radiation is not well understood. View evidence ↗

      Why it matters

      Mango panicle malformation significantly reduces productivity, but how it interacts with microclimatic factors like directional radiation is not well understood.

      In the paper's own words

      “Mango panicle malformation is a major constraint affecting productivity, yet its interaction with microclimatic factors such as directional radiation remains inadequately understood.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Panicle malformation is a severe issue in mango cultivation that causes yield losses through abnormal development and poor fruit set. View evidence ↗

      Why it matters

      Panicle malformation is a severe issue in mango cultivation that causes yield losses through abnormal development and poor fruit set.

      In the paper's own words

      “Among these, mango panicle malformation is considered one of the most serious problems, leading to significant yield losses due to reduced flowering, poor fruit set and abnormal panicle development”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The orientation of the tree canopy creates different microclimates in terms of light, temperature, and humidity. View evidence ↗

      Why it matters

      The orientation of the tree canopy creates different microclimates in terms of light, temperature, and humidity.

      In the paper's own words

      “The spatial distribution of radiation within the tree canopy varies with orientation, leading to microclimatic differences in temperature, light intensity and humidity across different directions.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  2. The question

    • The study aimed to evaluate how different directions of photosynthetic radiation affect panicle health, malformation, and morphological traits across various mango varieties. View evidence ↗

      The question

      The study aimed to evaluate how different directions of photosynthetic radiation affect panicle health, malformation, and morphological traits across various mango varieties.

      In the paper's own words

      “Therefore, the present investigation was undertaken to assess the influence of different directions of incident photosynthetic radiation on panicle health, malformation and associated morphological traits in selected mango varieties.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The researchers used an asymmetrical factorial randomized block design with three replications to test 20 combinations of five mango varieties and four radiation directions. View evidence ↗

      What they did

      The researchers used an asymmetrical factorial randomized block design with three replications to test 20 combinations of five mango varieties and four radiation directions.

      In the paper's own words

      “The experiment was laid out in an asymmetrical factorial randomized block design (AFRBD) with three replications. A total of 20 treatment combinations were evaluated, comprising five mango varieties and four directions of incident photosynthetic radiation.”

      Page 2

      Found in: Experimental details

      Read it in the full textOpen PDF at page 2 ↗
    • The five varieties tested were Dushehari, Langra, Amrapali, Fazli, and Sunderja, evaluated across north, south, east, and west exposures. View evidence ↗

      What they did

      The five varieties tested were Dushehari, Langra, Amrapali, Fazli, and Sunderja, evaluated across north, south, east, and west exposures.

      In the paper's own words

      “The varieties included Dushehari (V1), Langra (V2), Amrapali (V3), Fazli (V4) and Sunderja (V5), while the directional exposures consisted of north (D1), south (D2), east (D3) and west (D4).”

      Page 2

      Found in: Experimental details

      Read it in the full textOpen PDF at page 2 ↗
    • The field study was conducted in Jabalpur, Madhya Pradesh, India, over the 2022-23 and 2023-24 periods. View evidence ↗

      What they did

      The field study was conducted in Jabalpur, Madhya Pradesh, India, over the 2022-23 and 2023-24 periods.

      In the paper's own words

      “The present investigation was carried out at the Fruit Research Station, Imaliya, under the Department of Horticulture (Fruit Science), College of Agriculture, Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV), Jabalpur, Madhya Pradesh, India, during the years 2022-23 and 2023-24.”

      Page 2

      Found in: Experimental details

      Read it in the full textOpen PDF at page 2 ↗
    • Panicle counts for healthy and malformed types were measured using 1 m x 1 m quadrats. View evidence ↗

      What they did

      Panicle counts for healthy and malformed types were measured using 1 m x 1 m quadrats.

      In the paper's own words

      “The number of healthy panicles was recorded using a quadrat of 1 m × 1 m placed at representative locations in each treatment plot.”

      Page 2

      Found in: Experimental details

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Langra had the highest average number of healthy panicles at 23.11 ± 0.61 m⁻², outperforming all other varieties. View evidence ↗

      What they found

      Langra had the highest average number of healthy panicles at 23.11 ± 0.61 m⁻², outperforming all other varieties.

      In the paper's own words

      “Among the varieties, Langra (V2) recorded the highest number of healthy panicles with a mean value of 23.11 ± 0.61 m⁻², which was significantly superior to all other varieties.”

      Page 3

      Found in: Results

      Read it in the full textOpen PDF at page 3 ↗
    • South-facing canopies produced the most healthy panicles (20.03 ± 0.54 m⁻²), while north-facing canopies produced the fewest (16.56 ± 0.48 m⁻²). View evidence ↗

      What they found

      South-facing canopies produced the most healthy panicles (20.03 ± 0.54 m⁻²), while north-facing canopies produced the fewest (16.56 ± 0.48 m⁻²).

      In the paper's own words

      “With respect to direction, the south direction (D2) produced the highest number of healthy panicles (20.03 ± 0.54 m⁻²), followed by the east (18.77 ± 0.51 m⁻²) and west (17.52 ± 0.49 m⁻²) directions, while the north direction (D1) recorded the lowest value (16.56 ± 0.48 m⁻²).”

      Page 3

      Found in: Results

      Read it in the full textOpen PDF at page 3 ↗
    • Sunderja and Fazli showed the highest malformation percentages (44.00 ± 0.65% and 42.50 ± 0.64% respectively), while Langra showed the lowest (20.36 ± 0.46%). View evidence ↗

      What they found

      Sunderja and Fazli showed the highest malformation percentages (44.00 ± 0.65% and 42.50 ± 0.64% respectively), while Langra showed the lowest (20.36 ± 0.46%).

      In the paper's own words

      “Among the varieties, Sunderja (V5) recorded the highest percentage of malformed panicles with a mean value of 44.00 ± 0.65%, which was statistically at par with Fazli (V4) (42.50 ± 0.64%), but significantly higher than the remaining varieties. ... whereas the lowest malformation percentage was recorded in Langra (V2) (20.36 ± 0.46%).”

      Page 4

      Found in: Results

      Read it in the full textOpen PDF at page 4 ↗
    • The north direction had the highest malformation percentage (39.10 ± 0.61%), and the south direction had the lowest (27.57 ± 0.52%). View evidence ↗

      What they found

      The north direction had the highest malformation percentage (39.10 ± 0.61%), and the south direction had the lowest (27.57 ± 0.52%).

      In the paper's own words

      “With respect to direction, the north direction (D1) recorded the highest malformation percentage (39.10 ± 0.61%), followed by west (35.36 ± 0.59%) and east (30.47 ± 0.55%) directions, whereas the south direction (D2) exhibited the lowest value (27.57 ± 0.52%).”

      Page 4

      Found in: Results

      Read it in the full textOpen PDF at page 4 ↗
    • Dushehari produced the longest healthy panicles, averaging 29.35 ± 0.45 cm. View evidence ↗

      What they found

      Dushehari produced the longest healthy panicles, averaging 29.35 ± 0.45 cm.

      In the paper's own words

      “Among the varieties, Dushehari (V1) recorded the maximum length of healthy panicles with a mean value of 29.35 ± 0.45 cm, which was significantly superior to all other varieties.”

      Page 4

      Found in: Results

      Read it in the full textOpen PDF at page 4 ↗
    • Malformed panicles were longest in the Amrapali variety, with a mean length of 10.64 ± 0.28 cm. View evidence ↗

      What they found

      Malformed panicles were longest in the Amrapali variety, with a mean length of 10.64 ± 0.28 cm.

      In the paper's own words

      “Among the varieties, Amrapali (V3) recorded the maximum length of malformed panicles with a mean value of 10.64 ± 0.28 cm, which was significantly higher than the remaining varieties.”

      Page 5

      Found in: Results

      Read it in the full textOpen PDF at page 5 ↗
    • There is a strong positive correlation between healthy and total panicles (r ≈ 0.94) and a strong negative correlation between healthy panicles and malformation percentage (r ≈ -0.91). View evidence ↗

      What they found

      There is a strong positive correlation between healthy and total panicles (r ≈ 0.94) and a strong negative correlation between healthy panicles and malformation percentage (r ≈ -0.91).

      In the paper's own words

      “A strong positive correlation was observed between the number of healthy panicles and total panicles (r ≈ 0.94), indicating that overall panicle productivity is largely determined by the proportion of healthy inflorescences. In contrast, the percentage of malformed panicles exhibited a strong negative correlation with healthy panicles (r ≈ -0.91)”

      Page 5

      Found in: Discussion

      Read it in the full textOpen PDF at page 5 ↗
  5. What it means

    • The authors found that while genetics determine the total number of panicles, the environment (specifically radiation) determines whether those panicles are healthy or malformed. View evidence ↗

      What it means

      The authors found that while genetics determine the total number of panicles, the environment (specifically radiation) determines whether those panicles are healthy or malformed.

      In the paper's own words

      “The study further revealed that while total panicle production is largely governed by varietal potential, the proportion of healthy and malformed panicles is strongly influenced by environmental conditions, particularly radiation exposure.”

      Page 8

      Found in: Conclusion

      Read it in the full textOpen PDF at page 8 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (mango tree (Mangifera indica L.) canopy and panicles). It explains the idea and does not show study data.↗ Enlarge
Directional Radiation Effect
AI-generated conceptual illustration (mango tree (Mangifera indica L.) canopy and panicles). It explains the idea and does not show study data.

AI-generated conceptual illustration (mango tree (Mangifera indica L.) canopy and panicles). It explains the idea and does not show study data.

Open full-size image ↗

Directional Radiation Effect

AI-generated conceptual illustration (mango tree (Mangifera indica L.) canopy and panicles). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Mean (V): V1 (Dushehari) vs V2 (Langra) vs V3 (Amrapali) vs V4 (Fazli) vs V5 (Sunderja)
Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.

Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Mean (V): V1 (Dushehari) vs V2 (Langra) vs V3 (Amrapali) vs V4 (Fazli) vs V5 (Sunderja)

Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Number of healthy panicles (m⁻²) as influenced by mango varieties and direction of incident radiation (Pooled data)Table 1Page 3Influence of mango varieties and direction of incident photosynthetic radiation on number of malformed panicles (m⁻²) (PooledTable 2Page 3Influence of mango varieties and direction of incident photosynthetic radiation on total number of panicles (m⁻²) (Pooled data)Table 3Page 4Influence of mango varieties and direction of incident photosynthetic radiation on percentage of malformed panicles (%) (PooledTable 4Page 4Influence of mango varieties and direction of incident photosynthetic radiation on length of healthy panicles (cm) (Pooled data)Table 5Page 5Influence of mango varieties and direction of incident photosynthetic radiation on length of malformed panicles (cm) (Pooled data)Table 6Page 5Correlation matrix of panicle traits in mango showing the relationships among healthy panicles, malformed panicles, total panicles,Figure 1Page 6Scatter plot showing the relationship between total number of panicles and healthy panicles with a fitted regression line.Figure 2Page 6Principal component analysis (PCA) of panicle traits in mango: (a) biplot showing the distribution and association of variables, andFigure 4Page 8
FULL TEXT Original article · reflowed for reading

Introduction

Mango (Mangifera indica L.) is one of the most important tropical fruit crops, widely cultivated for its nutritional, economic and cultural significance. India, being the largest producer of mango, contributes substantially to global production; however, productivity is often constrained by several physiological and pathological disorders. Among these, mango panicle malformation is considered one of the most serious problems, leading to significant yield losses due to reduced flowering, poor fruit set and abnormal panicle development (Ahmad et al., 2025; Kumar et al., 2022) [1,3] . Panicle malformation in mango is a complex disorder influenced by multiple factors, including genetic, physiological, biochemical and environmental components. It is characterized by abnormal proliferation of floral tissues, resulting in compact and distorted panicles that fail to produce fruits effectively. Several studies have indicated that the incidence and severity of malformation vary among mango varieties, suggesting the presence of inherent genetic differences in tolerance or susceptibility (Balban et al., 2025; Kumar, 2014) [2,9] . Earlier screening studies on mango germplasm and hybrids have also demonstrated considerable variation in malformation incidence, identifying tolerant cultivars that could be utilized in breeding and management programmes (Kumar, 2014; Kumar & Solanki, 2014) [12,11] . In addition to genetic factors, physiological imbalances such as altered hormonal regulation, disturbed carbohydrate metabolism and oxidative stress have been implicated in the development of malformation (Maurya et al., 2023) [15] . Environmental conditions, particularly light and temperature, play a crucial role in regulating flowering behaviour and panicle development in mango. Photosynthetically active radiation (PAR) influences key physiological processes such as photosynthesis, assimilate production and translocation, which ultimately determine the formation and development of floral structures (Huang et al., 2024) [5] . The spatial distribution of radiation within the tree canopy varies with orientation, leading to microclimatic differences in temperature, light intensity and humidity across different directions. Such variation in canopy microenvironment can significantly affect flowering, panicle health and the occurrence of malformation (Ahmad et al., 2025) [1] . Directional exposure of incident radiation has been reported to influence growth and reproductive behaviour in perennial fruit crops. Canopy orientation determines the amount and duration of radiation intercepted by different parts of the tree, thereby affecting photosynthetic efficiency and metabolic activity (Kishore et al., 2023) [7] . In mango, variations in radiation interception across north, south, east and west directions may create distinct microenvironments that influence panicle initiation, development and susceptibility to malformation (Imran et al., 2025) [6] . However, systematic studies examining the combined effect of varietal differences and directional radiation on panicle traits remain limited, particularly under Indian agro-climatic conditions. Understanding the interaction between genotype and radiation environment is essential for developing effective strategies to improve panicle health and reduce malformation incidence. Evaluation of morphological traits such as number of healthy and malformed panicles, total panicle density and panicle length can provide insights into the underlying mechanisms governing flowering behaviour. Furthermore, integrating these traits with environmental factors such as directional radiation can help identify suitable varieties and canopy conditions for enhanced productivity and disease management (Kumar et al., 2014) [12] . Therefore, the present investigation was undertaken to assess the influence of different directions of incident photosynthetic radiation on panicle health, malformation and associated morphological traits in selected mango varieties. The study aims to elucidate the role of canopy microclimate in regulating panicle development and to identify varietal responses that can be utilized for improving mango productivity under varying environmental conditions.

Materials and Methods

Materials and Methods

Experimental details

The present investigation was conducted on mango (Mangifera indica L.) under field conditions. The experiment was laid out in an asymmetrical factorial randomized block design (AFRBD) with three replications. A total of 20 treatment combinations were evaluated, comprising five mango varieties and four directions of incident photosynthetic radiation. The varieties included Dushehari (V1), Langra (V2), Amrapali (V3), Fazli (V4) and Sunderja (V5), while the directional exposures consisted of north (D1), south (D2), east (D3) and west (D4). Each variety was evaluated under all four directions, resulting in 20 treatment combinations (V × D). The present investigation was carried out at the Fruit Research Station, Imaliya, under the Department of Horticulture (Fruit Science), College of Agriculture, Jawaharlal Nehru Krishi Vishwa Vidyalaya (JNKVV), Jabalpur, Madhya Pradesh, India, during the years 2022-23 and 2023-24.

The number of healthy panicles was recorded using a quadrat of 1 m × 1 m placed at representative locations in each treatment plot. Healthy panicles were counted from all four directions of the canopy, and the average number of healthy panicles per square meter was calculated.

Malformed panicles were counted using the same quadrat method. The total number of malformed panicles per square meter was recorded from different canopy directions, and the average value was computed for each treatment.

The total number of panicles (healthy + malformed) per square meter was recorded using a 1 m × 1 m quadrat. Observations were taken from randomly selected positions in all four directions (north, south, east and west) to ensure representativeness, and the average number of panicles per square meter was calculated.

The percentage of malformed panicles was calculated using the following formula:

Fully developed healthy panicles were selected from tagged plants and measured using a measuring scale. Panicle length was recorded from the point of attachment at the peduncle to the apex of the panicle. The average panicle length was computed for each treatment.

Malformed panicles from tagged plants were measured in a similar manner, from the peduncle to the tip of the malformed apex. The average length of malformed panicles was calculated for each treatment.

Statistical analysis

The experimental data were subjected to analysis of variance (ANOVA) appropriate for an asymmetrical factorial randomized block design (AFRBD) to evaluate the effects of varieties, directions and their interaction. The significance of treatment differences was tested at the 5% level of probability, and mean comparisons were performed using Tukey's Honestly Significant Difference (HSD) test as a post hoc analysis. In addition to ANOVA, Pearson's correlation analysis was carried out to determine the relationships among different panicle traits. Multiple regression analysis was performed to assess the influence of morphological and malformation-related parameters on the number of healthy panicles. Furthermore, principal component analysis (PCA) was conducted to reduce the dimensionality of the dataset and to identify the major components contributing to variability among traits. All statistical analyses were performed using R statistical software (R Foundation for Statistical Computing, Vienna, Austria).

Results

Results

The data presented in Table 1 revealed that the number of healthy panicles was significantly influenced by mango varieties, direction of incident photosynthetic radiation and their interaction. Among the varieties, Langra (V2) recorded the highest number of healthy panicles with a mean value of 23.11 ± 0.61 m⁻², which was significantly superior to all other varieties. It was followed by Amrapali (V3) (21.92 ± 0.57 m⁻²) and Dushehari (V1) (18.15 ± 0.49 m⁻²), whereas the lowest number of healthy panicles was observed in Fazli (V4) (12.85 ± 0.42 m⁻²). Sunderja (V5) recorded an intermediate value (15.07 ± 0.45 m⁻²). With respect to direction, the south direction (D2) produced the highest number of healthy panicles (20.03 ± 0.54 m⁻²), followed by the east (18.77 ± 0.51 m⁻²) and west (17.52 ± 0.49 m⁻²) directions, while the north direction (D1) recorded the lowest value (16.56 ± 0.48 m⁻²). The interaction effect (V × D) was found to be significant, indicating that the response of varieties varied with direction of incident radiation. The combination of Langra under south direction recorded the maximum number of healthy panicles, whereas Fazli under north direction recorded the minimum. Means followed by the same letter(s) within a column or row are not significantly different at P = 0.05 according to CD test.

Table 1. Number of healthy panicles (m⁻²) as influenced by mango varieties and direction of incident radiation (Pooled data)
VarietiesNorth (D1)South (D2)East (D3)West (D4)Mean (V)
V1 (Dushehari)16.18 ± 0.46c19.87 ± 0.52c18.81 ± 0.49c17.72 ± 0.47c18.15 ± 0.49c
V2 (Langra)21.38 ± 0.58a24.59 ± 0.64a23.73 ± 0.61a22.73 ± 0.59a23.11 ± 0.61a
V3 (Amrapali)20.35 ± 0.55b23.55 ± 0.60b22.61 ± 0.57b21.16 ± 0.55b21.92 ± 0.57b
V4 (Fazli)11.53 ± 0.40e15.13 ± 0.45e12.89 ± 0.42e11.85 ± 0.41e12.85 ± 0.42e
V5 (Sunderja)13.35 ± 0.43d17.01 ± 0.48d15.80 ± 0.46d14.12 ± 0.44d15.07 ± 0.45d
Mean (D)16.56 ± 0.48c20.03 ± 0.54a18.77 ± 0.51b17.52 ± 0.49bc—
SE.m. (±):Variety (V): 0.52Direction (D): 0.56V × D: 0.79
CD (P = 0.05):Variety (V): 1.10Direction (D): 1.18V × D: 1.66
CV11.6%

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Table 1
Number of healthy panicles (m⁻²) as influenced by mango varieties and direction of incident radiation (Pooled data)

Number of healthy panicles (m⁻²) as influenced by mango varieties and direction of incident radiation (Pooled data)

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Original paper tableSource PDF · page 3 ↗

The data presented in Table 2 indicated that the number of malformed panicles was significantly influenced by mango varieties, direction of incident photosynthetic radiation and their interaction. Among the varieties, Sunderja (V5) recorded the highest number of malformed panicles with a mean value of 11.78 ± 0.29 m⁻², followed by Fazli (V4) (9.44 ± 0.25 m⁻²) and Dushehari (V1) (9.02 ± 0.25 m⁻²). In contrast, Langra (V2) recorded the lowest number of malformed panicles (5.93 ± 0.21 m⁻²), followed by Amrapali (V3) (7.67 ± 0.23 m⁻²).

Table 2. Influence of mango varieties and direction of incident photosynthetic radiation on number of malformed panicles (m⁻²) (Pooled
VarietiesNorth (D1)South (D2)East (D3)West (D4)Mean (V)
V1 (Dushehari)11.50 ± 0.28b6.35 ± 0.22d7.57 ± 0.24c10.66 ± 0.27b9.02 ± 0.25b
V2 (Langra)7.45 ± 0.23d4.26 ± 0.19e4.69 ± 0.20e7.31 ± 0.23d5.93 ± 0.21d
V3 (Amrapali)10.97 ± 0.27c5.70 ± 0.21d7.03 ± 0.23c6.98 ± 0.23c7.67 ± 0.23c
V4 (Fazli)9.92 ± 0.26 c9.40 ± 0.25b9.05 ± 0.24b9.37 ± 0.25b9.44 ± 0.25b
V5 (Sunderja)11.76 ± 0.29a11.85 ± 0.30a11.52 ± 0.29a12.00 ± 0.30 a11.78 ± 0.29a
Mean (D)10.32 ± 0.27 a7.51 ± 0.23c7.97 ± 0.24c9.26 ± 0.26 b—
SE.m. (±):Variety (V): 0.26Direction (D): 0.24V × D: 0.49
CD (P = 0.05):Variety (V): 0.55Direction (D): 0.51V × D: 1.03
Coefficient of Variation (CV %):9.80%

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Influence of mango varieties and direction of incident photosynthetic radiation on number of malformed panicles (m⁻²) (Pooled↗ Enlarge
Table 2
Influence of mango varieties and direction of incident photosynthetic radiation on number of malformed panicles (m⁻²) (Pooled

Influence of mango varieties and direction of incident photosynthetic radiation on number of malformed panicles (m⁻²) (Pooled

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Original paper tableSource PDF · page 3 ↗

With respect to direction, the north diection (D1) recorded the highest number of malformed panicles (10.32 ± 0.27 m⁻²), followed by west (9.26 ± 0.26 m⁻²) and east (7.97 ± 0.24 m⁻²) directions, whereas the south direction (D2) exhibited the lowest number (7.51 ± 0.23 m⁻²).

The interaction effect (V × D) was significant, indicating that varietal response to malformation varied across directions. The combination of Sunderja under north direction recorded the maximum number of malformed panicles, whereas Langra under south direction recorded the minimum. 9.80%

The data presented in Table 3 revealed that the total number of panicles per m² was significantly influenced by mango varieties and their interaction with direction of incident photosynthetic radiation, whereas the main effect of direction was non-significant.

Table 3. Influence of mango varieties and direction of incident photosynthetic radiation on total number of panicles (m⁻²) (Pooled data)
VarietiesNorth (D1)South (D2)East (D3)West (D4)Mean (V)
V1 (Dushehari)27.68 ± 0.52c26.22 ± 0.50d26.38 ± 0.51d28.38 ± 0.53c27.17 ± 0.52c
V2 (Langra)28.83 ± 0.55b28.85 ± 0.55b28.42 ± 0.54b30.04 ± 0.57b29.04 ± 0.55b
V3 (Amrapali)31.32 ± 0.60a29.24 ± 0.56b29.63 ± 0.57b28.13 ± 0.54c29.58 ± 0.57a
V4 (Fazli)21.45 ± 0.46e24.53 ± 0.49e21.94 ± 0.47e21.22 ± 0.46e22.29 ± 0.47e
V5 (Sunderja)25.11 ± 0.49d28.86 ± 0.55b27.32 ± 0.52c26.12 ± 0.50d26.85 ± 0.52d
Mean (D)26.88 ± 0.52a27.54 ± 0.53a26.74 ± 0.51a26.78 ± 0.52a—
SEm (±):Variety (V): 0.54Direction (D): 0.58V × D: 0.82
CD (P = 0.05):Variety (V): 1.14Direction (D): 1.22V × D: 1.72
CV10.90%

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Table 3
Influence of mango varieties and direction of incident photosynthetic radiation on total number of panicles (m⁻²) (Pooled data)

Influence of mango varieties and direction of incident photosynthetic radiation on total number of panicles (m⁻²) (Pooled data)

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Among the varieties, Amrapali (V3) recorded the highest total number of panicles with a mean value of 29.58 ± 0.57 m⁻², which was statistically at par with Langra (V2) (29.04 ± 0.55 m⁻²), but significantly superior to the remaining varieties. It was followed by Dushehari (V1) (27.17 ± 0.52 m⁻²) and Sunderja (V5) (26.85 ± 0.52 m⁻²), whereas the lowest value was observed in Fazli (V4) (22.29 ± 0.47 m⁻²). With respect to direction, the values ranged from 26.74 ± 0.51 m⁻² (east) to 27.54 ± 0.53 m⁻² (south); however, the differences among directions were non-significant, indicating relatively uniform panicle production across canopy orientations. The interaction effect (V × D) was found to be significant, suggesting that varietal performance varied with direction of radiation. The combination of Amrapali under north direction recorded the maximum number of total panicles, whereas Fazli under west direction recorded the minimum.

The data presented in Table 4 indicated that the percentage of malformed panicles was significantly influenced by mango varieties, direction of incident photosynthetic radiation and their interaction. Among the varieties, Sunderja (V5) recorded the highest percentage of malformed panicles with a mean value of 44.00 ± 0.65%, which was statistically at par with Fazli (V4) (42.50 ± 0.64%), but significantly higher than the remaining varieties. It was followed by Dushehari (V1) (33.01 ± 0.56%) and Amrapali (V3) (25.77 ± 0.50%), whereas the lowest malformation percentage was recorded in Langra (V2) (20.36 ± 0.46%).

Table 4. Influence of mango varieties and direction of incident photosynthetic radiation on percentage of malformed panicles (%) (Pooled
VarietiesNorth (D1)South (D2)East (D3)West (D4)Mean (V)
V1 (Dushehari)41.55 ± 0.62b24.22 ± 0.48d28.70 ± 0.52c37.56 ± 0.60b33.01 ± 0.56b
V2 (Langra)25.84 ± 0.50d14.77 ± 0.42e16.50 ± 0.44e24.33 ± 0.49d20.36 ± 0.46d
V3 (Amrapali)35.03 ± 0.58c19.49 ± 0.45d23.73 ± 0.48d24.81 ± 0.49d25.77 ± 0.50c
V4 (Fazli)46.25 ± 0.66a38.32 ± 0.61b41.25 ± 0.63b44.16 ± 0.65a42.50 ± 0.64a
V5 (Sunderja)46.83 ± 0.67a41.06 ± 0.63a42.17 ± 0.64a45.94 ± 0.66a44.00 ± 0.65a
Mean (D)39.10 ± 0.61a27.57 ± 0.52d30.47 ± 0.55c35.36 ± 0.59b—
SE.m. (±):Variety (V): 0.60Direction (D): 0.65V × D: 0.92
CD (P = 0.05):Variety (V): 1.26Direction (D): 1.36V × D: 1.93
CV8.90%

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Influence of mango varieties and direction of incident photosynthetic radiation on percentage of malformed panicles (%) (Pooled

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With respect to direction, the north direction (D1) recorded the highest malformation percentage (39.10 ± 0.61%), followed by west (35.36 ± 0.59%) and east (30.47 ± 0.55%) directions, whereas the south direction (D2) exhibited the lowest value (27.57 ± 0.52%).

The interaction effect (V × D) was found to be significant, indicating that the extent of malformation varied with both variety and direction. The combination of Sunderja under north direction recorded the maximum malformation percentage, whereas Langra under south direction recorded the minimum.

The data presented in Table 5 revealed that the length of healthy panicles was significantly influenced by mango varieties, direction of incident photosynthetic radiation and their interaction. Among the varieties, Dushehari (V1) recorded the maximum length of healthy panicles with a mean value of 29.35 ± 0.45 cm, which was significantly superior to all other varieties. It was followed by Langra (V2) (27.11 ± 0.43 cm) and Fazli (V4) (24.34 ± 0.41 cm), whereas the minimum panicle length was observed in Amrapali (V3) (20.88 ± 0.36 cm). Sunderja (V5) recorded an intermediate value (22.98 ± 0.39 cm). With respect to direction, the north direction (D1) recorded the maximum panicle length (27.16 ± 0.43 cm), followed by west (25.27 ± 0.42 cm) and east (24.01 ± 0.40 cm) directions, whereas the south direction (D2) recorded the minimum value (23.28 ± 0.39 cm). The interaction effect (V × D) was found to be significant, indicating that varietal response varied with direction of radiation. The combination of Dushehari under north direction recorded the maximum panicle length, whereas Amrapali under south direction recorded the minimum.

Table 5. Influence of mango varieties and direction of incident photosynthetic radiation on length of healthy panicles (cm) (Pooled data)
VarietiesNorth (D1)South (D2)East (D3)West (D4)Mean (V)
V1 (Dushehari)32.13 ± 0.48a27.26 ± 0.43b28.28 ± 0.44b29.72 ± 0.46a29.35 ± 0.45 a
V2 (Langra)29.98 ± 0.46b25.38 ± 0.41c26.12 ± 0.42c26.95 ± 0.43b27.11 ± 0.43b
V3 (Amrapali)22.23 ± 0.38e19.71 ± 0.35e20.15 ± 0.36e21.43 ± 0.37d20.88 ± 0.36e
V4 (Fazli)27.12 ± 0.43c22.25 ± 0.39d23.27 ± 0.40d24.71 ± 0.4c24.34 ± 0.41c
V5 (Sunderja)24.33 ± 0.40d21.81 ± 0.38d22.24 ± 0.39d23.52 ± 0.40c22.98 ± 0.39d
Mean (D)27.16 ± 0.43a23.28 ± 0.39c24.01 ± 0.40c25.27 ± 0.42b—
SE.m. (±):Variety (V): 0.44Direction (D): 0.48V × D: 0.68
CD (p = 0.05):Variety (V): 0.92Direction (D): 1.01V × D: 1.43
CV9.50%

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Discussion

The present investigation demonstrated that mango panicle development is significantly influenced by both varietal characteristics and directional variation in incident photosynthetic radiation. The significant differences observed among varieties for all studied traits indicate a strong genetic basis governing flowering behaviour, panicle development and susceptibility to malformation (Yadav et al., 2020) [21] . Among the evaluated varieties, Langra exhibited superior performance with a higher number of healthy panicles and lower malformation percentage, indicating its relative tolerance to mango malformation. In contrast, Sunderja and Fazli showed greater susceptibility, as reflected by higher malformed panicle incidence and percentage. Such varietal differences may be attributed to inherent genetic variability affecting physiological processes such as carbohydrate accumulation, hormonal balance and metabolic regulation during floral differentiation (Brito Vera & Pérez, 2024) [3] . Efficient mobilization of assimilates from vegetative tissues to developing reproductive structures is known to promote healthy panicle formation, whereas any disruption in these processes may favour abnormal growth and malformation (Ullah et al., 2024) [20] . The directional effect of incident radiation further highlighted the importance of canopy microclimate in regulating panicle development. The south-facing direction consistently produced a higher number of healthy panicles and lower malformation percentage, which may be attributed to enhanced solar radiation interception and favourable thermal conditions. Increased radiation availability improves photosynthetic efficiency and carbohydrate synthesis, thereby supporting floral bud differentiation and panicle development (Rossouw et al.,

2024) [18] . Conversely, the north direction recorded higher malformation incidence, which may be associated with relatively lower light intensity and cooler microclimatic conditions that reduce photosynthetic activity and disturb hormonal regulation, thereby promoting malformation (Balban et al, 2025) [2] . Similar directional effects on flowering behaviour and malformation incidence have been reported in mango and other perennial fruit crops (Hammad et al., 2025) [4] . The total number of panicles was largely governed by varietal potential, with Amrapali and Langra producing a higher panicle density. This suggests that panicle initiation is primarily controlled by genetic factors, whereas the proportion of healthy and malformed panicles is more sensitive to environmental conditions. The relatively nonsignificant variation in total panicle number across directions further indicates that radiation environment plays a greater role in determining panicle quality rather than quantity (Kishore et al., 2023) [7] . Panicle length also exhibited significant variation among varieties and directions, reflecting differences in growth dynamics of floral structures. The greater length of healthy panicles observed in Dushehari may be attributed to enhanced assimilate supply and hormonal balance promoting elongation of the rachis and panicle branches (Singh et al., 2025) [19] . The increased panicle length observed under the north direction may be associated with reduced light intensity favouring elongation growth as a physiological adaptation. Under relatively shaded conditions, plants often exhibit increased elongation due to altered growth regulation mechanisms (Kuldeep et al., 2025) [8] . In contrast, malformed panicles exhibited greater elongation in Amrapali and Sunderja, particularly under the south direction. This abnormal elongation may be associated with disturbed metabolic activity and hormonal imbalance within malformed tissues. Higher radiation exposure may enhance metabolic processes, leading to excessive and disorganized growth patterns in malformed panicles (Perveen et al., 2025) [16] . Such responses reflect the altered physiological status of affected tissues under stress conditions (Léchaudel et al., 2013) [14] . Overall, the results revealed a clear inverse relationship between healthy panicle production and malformation incidence, indicating that factors promoting normal floral development simultaneously suppress malformation. The combined influence of varietal traits and radiation environment determines the balance between healthy and malformed panicles, thereby influencing overall productivity (Ahmad et al., 2025) [1] . Varieties such as Langra, which maintain higher healthy panicle numbers with lower malformation under favourable radiation conditions, may therefore be considered more suitable for cultivation under similar agro-climatic conditions (Premalatha, 2023) [17] .

Conclusion

The present study demonstrated that mango panicle development is significantly influenced by varietal characteristics and the direction of incident photosynthetic radiation. Among the evaluated varieties, Langra exhibited superior performance with a higher number of healthy panicles and lower malformation percentage, indicating its relative tolerance to mango malformation. In contrast, Sunderja and Fazli showed greater susceptibility, as evidenced by higher malformed panicle incidence and percentage. Directional variation in radiation also played a crucial role in determining panicle health and morphology. The south-facing direction proved most favourable for healthy panicle production and reduced malformation, likely due to enhanced radiation interception and improved microclimatic conditions. Conversely, the north direction was associated with higher malformation incidence, suggesting that reduced light availability adversely affects normal panicle development.

The study further revealed that while total panicle production is largely governed by varietal potential, the proportion of healthy and malformed panicles is strongly influenced by environmental conditions, particularly radiation exposure. Additionally, variations in panicle length indicate that both genetic factors and microclimatic conditions regulate growth behaviour of healthy and malformed panicles. Overall, the findings highlight that selection of tolerant varieties such as Langra, along with consideration of canopy orientation and radiation exposure, can significantly improve panicle health and productivity in mango orchards. These results provide valuable insights for developing management strategies aimed at minimizing malformation and enhancing yield under varying environmental conditions.

Figures and tables from the paper

Table 6. Influence of mango varieties and direction of incident photosynthetic radiation on length of malformed panicles (cm) (Pooled data)
VarietiesNorth (D1)South (D2)East (D3)West (D4)Mean (V)
V1 (Dushehari)6.51 ± 0.22e9.12 ± 0.26d8.29 ± 0.24d6.96 ± 0.23e7.72 ± 0.24e
V2 (Langra)7.15 ± 0.23d9.76 ± 0.27d8.93 ± 0.25d7.60 ± 0.24d8.36 ± 0.25d
V3 (Amrapali)8.48 ± 0.25b13.52 ± 0.32a11.02 ± 0.29b9.53 ± 0.27c10.64 ± 0.28a
V4 (Fazli)7.36 ± 0.23d12.40 ± 0.31b9.90 ± 0.27c8.41 ± 0.25d9.52 ± 0.27c
V5 (Sunderja)8.22 ± 0.24c12.99 ± 0.32a9.86 ± 0.27c9.00 ± 0.26c10.02 ± 0.27b
Mean (D)7.54 ± 0.23d11.56 ± 0.30a9.60 ± 0.27b8.30 ± 0.25c—
SE.m. (±):Variety (V): 0.26Direction (D): 0.28V × D: 0.39
CD (p = 0.05):Variety (V): 0.55Direction (D): 0.59V × D: 0.82
CV8.60%

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Influence of mango varieties and direction of incident photosynthetic radiation on length of malformed panicles (cm) (Pooled data)

Influence of mango varieties and direction of incident photosynthetic radiation on length of malformed panicles (cm) (Pooled data)

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Figure 1. Correlation matrix of panicle traits in mango showing the relationships among healthy panicles, malformed panicles, total panicles,
Correlation matrix of panicle traits in mango showing the relationships among healthy panicles, malformed panicles, total panicles,↗ Enlarge
Figure 1
Correlation matrix of panicle traits in mango showing the relationships among healthy panicles, malformed panicles, total panicles,

Correlation matrix of panicle traits in mango showing the relationships among healthy panicles, malformed panicles, total panicles,

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Figure 2. Scatter plot showing the relationship between total number of panicles and healthy panicles with a fitted regression line.
Scatter plot showing the relationship between total number of panicles and healthy panicles with a fitted regression line.↗ Enlarge
Figure 2
Scatter plot showing the relationship between total number of panicles and healthy panicles with a fitted regression line.

Scatter plot showing the relationship between total number of panicles and healthy panicles with a fitted regression line.

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Figure 4. Principal component analysis (PCA) of panicle traits in mango: (a) biplot showing the distribution and association of variables, and
Principal component analysis (PCA) of panicle traits in mango: (a) biplot showing the distribution and association of variables, and↗ Enlarge
Figure 4
Principal component analysis (PCA) of panicle traits in mango: (a) biplot showing the distribution and association of variables, and

Principal component analysis (PCA) of panicle traits in mango: (a) biplot showing the distribution and association of variables, and

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Original paper figureSource PDF · page 8 ↗

References

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  • Genotype-dependent modulation of photosynthesis and oxidative dynamics by directional light in mango

    Shubham Singh Patel, SK Pandey, SK Sharma, Ashish Kumar, Reena Nair, RS Ramakrishnan · International Journal of Advanced Biochemistry Research · 2026

    Light distribution within the canopy plays a critical role in regulating physiological and biochemical processes in perennial fruit crops like mango (Mangifera indica L.). The present study evaluated the interactive effect of genotype and incident photosynthetic photon flux density (PPFD) direction on chlorophyll content, biochemical attributes and antioxidative responses under field conditions during 2022-23 and 2023-24. The results revealed a significant genotype × direction interaction for all parameters. Among the cultivars, Amrapali recorded the highest leaf chlorophyll content (up to 43.

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