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Research article · 2025 · Full text

International Journal of Horticulture and Food Science

Developing post-harvest quality of jackfruit in the Kaziranga Floodplain

Bo YangYu GaoNan He

Volume 7(9) · Pages 177–180 · DOI: 10.33545/26631067.2025.v7.i9c.740 ↗

Research areasPostharvest Quality and Shelf Life ManagementAgricultural Engineering and MechanizationPlant Physiology and Cultivation Studies

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Abstract

Author-written

Jackfruit (Artocarpus heterophyllus) is one of the largest tree-borne fruits in the world, yet post-harvest losses in flood-prone South Asian landscapes routinely exceed 30% due to mechanical damage, rapid ripening, and microbial decay. This research examined post-harvest quality parameters of ten jackfruit genotypes grown on raised bed orchards in the Kaziranga floodplain of Assam, India, with laboratory analysis conducted at the Hangzhou Graduate School of Bioagricultural Studies from February to October 2023. Fruits were harvested at three maturity stages, stored under ambient (28 °C) and cold (13 °C) conditions, and monitored for firmness, total soluble solids, titratable acidity, ethylene production, weight loss, microbial load, and biomass partitioning across a 14-day period. Cold storage extended shelf life by 7.3 days on average, while genotype explained 41.2% of the total variance in keeping quality. The AMMI model identified two genotypes (G4 and G7) as simultaneously high-yielding and stable across storage environments. Biomass production per tree ranged from 9.8 to 24.6 kg, and raised bed cultivation reduced waterlogging damage by 62.4% compared with flat-ground orchards. Growth regulators (1-MCP at 500 nL/L) delayed ethylene peak by 4.1 days and reduced weight loss by 18.7%. These findings provide genotype-specific and management-specific guidance for reducing post-harvest losses in floodplain jackfruit systems.

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

    • In flood-prone South Asian regions, jackfruit often suffers post-harvest losses exceeding 30% because of microbial decay, rapid ripening, and mechanical damage. View evidence ↗

      Why it matters

      In flood-prone South Asian regions, jackfruit often suffers post-harvest losses exceeding 30% because of microbial decay, rapid ripening, and mechanical damage.

      In the paper's own words

      “post-harvest losses in flood-prone South Asian landscapes routinely exceed 30% due to mechanical damage, rapid ripening, and microbial decay.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The scale of waste is significant in Assam, where an estimated 54,000 tonnes of edible biomass are lost annually based on a 30% loss rate of the 180,000 tonnes produced. View evidence ↗

      Why it matters

      The scale of waste is significant in Assam, where an estimated 54,000 tonnes of edible biomass are lost annually based on a 30% loss rate of the 180,000 tonnes produced.

      In the paper's own words

      “Assam produces an estimated 180,000 tonnes of jackfruit annually, so a 30% loss rate means roughly 54,000 tonnes of edible biomass lost before it reaches a consumer”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The Kaziranga floodplain is characterized by annual monsoon flooding that waterlogs orchards for 2 to 6 weeks. View evidence ↗

      Why it matters

      The Kaziranga floodplain is characterized by annual monsoon flooding that waterlogs orchards for 2 to 6 weeks.

      In the paper's own words

      “The Kaziranga floodplain lies along the south bank of the Brahmaputra River at 60-80 m elevation. Annual flooding deposits fresh alluvial silt but also waterlogging orchards for 2-6 weeks during the monsoon.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to identify jackfruit genotypes with high yield and storage stability using the AMMI model, while evaluating the effects of 1-MCP treatment and raised bed cultivation on post-harvest quality. View evidence ↗

      The question

      The study aimed to identify jackfruit genotypes with high yield and storage stability using the AMMI model, while evaluating the effects of 1-MCP treatment and raised bed cultivation on post-harvest quality.

      In the paper's own words

      “This research aimed to evaluate post-harvest quality of ten jackfruit genotypes under two storage regimes, assess the effectiveness of raised bed cultivation and 1-MCP treatment, and apply the AMMI model to identify genotypes that combine high biomass yield with storage stability.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The researchers used ten jackfruit genotypes (G1-G10) from trees aged 12-18 years, split equally between flat ground and raised beds with 0.8 m mound heights. View evidence ↗

      What they did

      The researchers used ten jackfruit genotypes (G1-G10) from trees aged 12-18 years, split equally between flat ground and raised beds with 0.8 m mound heights.

      In the paper's own words

      “Ten jackfruit genotypes (G1-G10) were selected from the Kaziranga Horticultural Station collection... Trees were 12-18 years old, five each on raised beds (0.8 m mound height) and five on flat ground.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Fruits were collected at three maturity stages: Stage I (80 DAFS, immature), Stage II (100 DAFS, mature-green), and Stage III (115 DAFS, early ripe). View evidence ↗

      What they did

      Fruits were collected at three maturity stages: Stage I (80 DAFS, immature), Stage II (100 DAFS, mature-green), and Stage III (115 DAFS, early ripe).

      In the paper's own words

      “Fruits were harvested at three maturity stages defined by days after fruit set (DAFS): Stage I (80 DAFS, immature), Stage II (100 DAFS, mature-green), and Stage III (115 DAFS, early ripe).”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Thirty fruits per genotype per stage were tested under four conditions: ambient storage (28±2 °C), cold storage (13±1 °C), ambient storage with 1-MCP (500 nL/L), and cold storage with 1-MCP. View evidence ↗

      What they did

      Thirty fruits per genotype per stage were tested under four conditions: ambient storage (28±2 °C), cold storage (13±1 °C), ambient storage with 1-MCP (500 nL/L), and cold storage with 1-MCP.

      In the paper's own words

      “Thirty fruits per genotype per stage were harvested... and assigned to four treatments: ambient storage (28±2 °C, 75-85% RH), cold storage (13±1 °C, 90-95% RH), ambient + 1-MCP (500 nL/L for 12 h in sealed chambers), and cold + 1-MCP”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Post-harvest quality was monitored over 14 days, measuring firmness, total soluble solids, titratable acidity, ethylene production, weight loss, and microbial load (TPC). View evidence ↗

      What they did

      Post-harvest quality was monitored over 14 days, measuring firmness, total soluble solids, titratable acidity, ethylene production, weight loss, and microbial load (TPC).

      In the paper's own words

      “Quality was assessed at 0, 3, 7, 10, and 14 days post-harvest. Firmness was measured by a TA.XT2 texture analyzer... Total soluble solids (TSS) were read on a digital refractometer. Titratable acidity (TA) was determined by titration with 0.1 N NaOH. Ethylene production was measured by GC-FID... Weight loss was recorded gravimetrically. Microbial load was estimated as total plate count (TPC)”

      Page 2

      Found in: Methods

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

    • Cold storage increased the mean shelf life from 5.2 days (ambient) to 12.5 days, and the addition of 1-MCP to cold storage further extended it to 14.8 days. View evidence ↗

      What they found

      Cold storage increased the mean shelf life from 5.2 days (ambient) to 12.5 days, and the addition of 1-MCP to cold storage further extended it to 14.8 days.

      In the paper's own words

      “Cold storage extended shelf life (defined as days to TPC > 10⁵ CFU/g) from a mean of 5.2 days at ambient to 12.5 days (p<0.001). Adding 1-MCP to cold storage further extended it to 14.8 days.”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • By day 7, fruits in cold storage with 1-MCP retained 71.3% of their firmness, compared to only 28.4% for those stored at ambient temperature without 1-MCP. View evidence ↗

      What they found

      By day 7, fruits in cold storage with 1-MCP retained 71.3% of their firmness, compared to only 28.4% for those stored at ambient temperature without 1-MCP.

      In the paper's own words

      “Firmness retention at day 7 was 71.3% in cold + 1-MCP fruits versus 28.4% at ambient without 1-MCP”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The use of 1-MCP at 500 nL/L reduced weight loss by 18.7% and delayed the ethylene peak by 4.1 days. View evidence ↗

      What they found

      The use of 1-MCP at 500 nL/L reduced weight loss by 18.7% and delayed the ethylene peak by 4.1 days.

      In the paper's own words

      “Growth regulators (1-MCP at 500 nL/L) delayed ethylene peak by 4.1 days and reduced weight loss by 18.7%.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Cultivating jackfruit on raised beds reduced damage caused by waterlogging by 62.4% compared to flat-ground orchards. View evidence ↗

      What they found

      Cultivating jackfruit on raised beds reduced damage caused by waterlogging by 62.4% compared to flat-ground orchards.

      In the paper's own words

      “raised bed cultivation reduced waterlogging damage by 62.4% compared with flat-ground orchards.”

      Page 1

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 1 ↗
    • Marketable yield was 17.3% higher in raised bed orchards than in flat-ground orchards. View evidence ↗

      What they found

      Marketable yield was 17.3% higher in raised bed orchards than in flat-ground orchards.

      In the paper's own words

      “Raised bed orchards produced 17.3% higher marketable yield than flat-ground orchards”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • Using the AMMI model, genotypes G4 and G7 were identified as being both high-yielding and stable across different storage environments. View evidence ↗

      What they found

      Using the AMMI model, genotypes G4 and G7 were identified as being both high-yielding and stable across different storage environments.

      In the paper's own words

      “The AMMI model identified two genotypes (G4 and G7) as simultaneously high-yielding and stable across storage environments.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • The edible aril made up 28.3% to 37.6% of total fruit weight, with genotype G7 having the highest recovery at 37.6%. View evidence ↗

      What they found

      The edible aril made up 28.3% to 37.6% of total fruit weight, with genotype G7 having the highest recovery at 37.6%.

      In the paper's own words

      “Edible aril constituted 28.3-37.6% of total fruit weight... Genotype G7 showed the highest aril recovery (37.6%)”

      Page 2

      Found in: Nutrient Budget and Biomass Partitioning

      Read it in the full textOpen PDF at page 2 ↗
    • Mechanical damage was the primary driver of quality loss, responsible for 28.4% of the observed deterioration. View evidence ↗

      What they found

      Mechanical damage was the primary driver of quality loss, responsible for 28.4% of the observed deterioration.

      In the paper's own words

      “Mechanical damage was the leading cause of quality loss, accounting for 28.4% of observed deterioration.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors recommend a three-part strategy to achieve a 14-day shelf life: planting genotypes G4 or G7 on raised beds, harvesting at the mature-green stage (Stage II), and storing at 13 °C with 1-MCP. View evidence ↗

      What it means

      The authors recommend a three-part strategy to achieve a 14-day shelf life: planting genotypes G4 or G7 on raised beds, harvesting at the mature-green stage (Stage II), and storing at 13 °C with 1-MCP.

      In the paper's own words

      “the data suggest a three-component strategy for Kaziranga jackfruit: plant G4 or G7 on raised beds, harvest at Stage II (mature-green), and store at 13 °C with 1-MCP treatment to achieve a 14-day shelf life”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • The cost and availability of 1-MCP in rural Assam are practical constraints, suggesting a need to test cheaper alternatives like locally made potassium permanganate sachets. View evidence ↗

      What it means

      The cost and availability of 1-MCP in rural Assam are practical constraints, suggesting a need to test cheaper alternatives like locally made potassium permanganate sachets.

      In the paper's own words

      “A practical constraint is 1-MCP cost and availability in rural Assam... Development of locally manufactured ethylene absorbers (e.g., potassium permanganate sachets) as a cheaper alternative merits testing”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

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

AI-generated illustration
AI-generated conceptual illustration (Jackfruit (Artocarpus heterophyllus) in a floodplain setting). It explains the idea and does not show study data.↗ Enlarge
Integrated Management Strategy
AI-generated conceptual illustration (Jackfruit (Artocarpus heterophyllus) in a floodplain setting). It explains the idea and does not show study data.

AI-generated conceptual illustration (Jackfruit (Artocarpus heterophyllus) in a floodplain setting). It explains the idea and does not show study data.

Open full-size image ↗

Integrated Management Strategy

AI-generated conceptual illustration (Jackfruit (Artocarpus heterophyllus) in a floodplain setting). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Shelf Life (days): Ambient vs Cold (13°C) vs Ambient + 1-MCP vs Cold + 1-MCP
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Shelf Life (days): Ambient vs Cold (13°C) vs Ambient + 1-MCP vs Cold + 1-MCP

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Firmness (N): Ambient vs Cold (13°C) vs Ambient + 1-MCP vs Cold + 1-MCP
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Firmness (N): Ambient vs Cold (13°C) vs Ambient + 1-MCP vs Cold + 1-MCP

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Post-harvest quality of jackfruit at day 7 across storage treatments (mean±SD, n = 10 genotypes)Table 1Page 2Contribution of post-harvest factors to jackfruit quality loss in the Kaziranga floodplainFigure 1Page 2AMMI analysis: genotype ranking for biomass yield and stability across storage environmentsTable 2Page 3Relationship between biomass accumulation and AMMI stability index across jackfruit genotypesFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Picture a fruit the size of a small suitcase falling from a ten-meter tree onto waterlogged clay soil. The impact alone can split the rind, and within 48 hours microbial colonization turns what was a 15 kg harvest into compost. That scenario plays out thousands of times each season in the Kaziranga floodplain of upper Assam, where jackfruit trees line paddy bunds and homestead margins but receive almost no post-harvest management [1] . And the waste is not trivial Assam produces an estimated 180,000 tonnes of jackfruit annually, so a 30% loss rate means roughly 54,000 tonnes of edible biomass lost before it reaches a consumer [2] . The Kaziranga floodplain lies along the south bank of the Brahmaputra River at 60-80 m elevation. Annual flooding deposits fresh alluvial silt but also waterlogging orchards for 2-6 weeks during the monsoon. Raised bed cultivation planting trees on mounded soil platforms 0.5-1.0 m above the surrounding field level has been used for mango and guava in Bangladesh's char lands, but its application to jackfruit in floodplain Assam has not been formally evaluated [3] . Post-harvest shelf life in jackfruit is constrained by its climacteric ripening pattern: once the ethylene burst begins, firmness drops by 60-70% within three days at ambient temperature [4] . 1-Methylcyclopropene (1-MCP), an ethylene perception inhibitor, has extended shelf life in apple and banana by 5-10 days, but its efficacy in jackfruit especially under the warm, humid conditions of Assam remained untested before this work [5] . This research aimed to evaluate post-harvest quality of ten jackfruit genotypes under two storage regimes, assess the effectiveness of raised bed cultivation and 1-MCP treatment, and apply the AMMI model to identify genotypes that combine high biomass yield with storage stability. Laboratory work was performed at the Hangzhou Graduate School of Bioagricultural Studies [6] .

Nutrient Budget and Biomass Partitioning

Biomass partitioning across fruit components was documented for all ten genotypes. Edible aril constituted 28.3-37.6% of total fruit weight, rind 41.2-49.8%, seed 8.4-12.7%, and core axis 6.1-9.3%. Genotype G7 showed the highest aril recovery (37.6%), making it the most efficient genotype for fresh consumption. Nutrient removal per tonne of harvested fruit averaged 4.2 kg nitrogen, 0.7 kg phosphorus, and 5.8 kg potassium, indicating that sustained high yields require deliberate nutrient replenishment, especially potassium, which jackfruit accumulates disproportionately in the rind [2] .

Material and Methods

Material and Methods

Material

Ten jackfruit genotypes (G1-G10) were selected from the Kaziranga Horticultural Station collection based on contrasting fruit size, maturity date, and rind thickness. Trees were 12-18 years old, five each on raised beds (0.8 m mound height) and five on flat ground. Fruits were harvested at three maturity stages defined by days after fruit set (DAFS): Stage I (80 DAFS, immature), Stage II (100 DAFS, mature-green), and Stage III (115 DAFS, early ripe). Thirty fruits per genotype per stage were harvested, surfacesanitized with 200 ppm NaOCl, and assigned to four treatments: ambient storage (28±2 °C, 75-85% RH), cold storage (13±1 °C, 90-95% RH), ambient + 1-MCP (500 nL/L for 12 h in sealed chambers), and cold + 1-MCP [4] . Treated fruits were shipped to the Hangzhou Graduate School of Bioagricultural Studies within 48 hours of harvest for quality monitoring. Ethics approval was issued by the School's Plant Science Review Board (Protocol HGSB-2023-021, 5 February 2023).

Methods

Quality was assessed at 0, 3, 7, 10, and 14 days postharvest. Firmness was measured by a TA.XT2 texture analyzer (Stable Micro Systems, UK) with a 6 mm cylindrical probe at 1 mm/s. Total soluble solids (TSS) were read on a digital refractometer. Titratable acidity (TA) was determined by titration with 0.1 N NaOH. Ethylene production was measured by GC-FID from headspace samples of sealed 5 L jars [5] . Weight loss was recorded gravimetrically. Microbial load was estimated as total plate count (TPC) on PDA for fungi and NA for bacteria. Biomass yield per tree was recorded at each harvest. The AMMI model was fitted using GEA-R software with genotype and storage environment as main effects and their interaction decomposed by principal component analysis. Data were subjected to split-plot ANOVA with storage temperature as main plot and 1-MCP as subplot, using SAS 9.4.

Results

Cold storage extended shelf life (defined as days to TPC > 10⁵ CFU/g) from a mean of 5.2 days at ambient to 12.5 days (p<0.001). Adding 1-MCP to cold storage further extended it to 14.8 days. Firmness retention at day 7 was 71.3% in cold + 1-MCP fruits versus 28.4% at ambient without 1-MCP [4] . The scatter plot reveals a positive trend between yield and instability, meaning higher-yielding genotypes tended to be more sensitive to storage environment. G4 and G7 deviated from this pattern, combining above-average yield with below-average instability marking them as desirable selections.

Comprehensive Interpretation

Raised bed orchards produced 17.3% higher marketable yield than flat-ground orchards, primarily because waterlogging-induced root asphyxia was reduced.

Combined with the genotype and storage results, the data suggest a three-component strategy for Kaziranga jackfruit: plant G4 or G7 on raised beds, harvest at Stage II (maturegreen), and store at 13 °C with 1-MCP treatment to achieve a 14-day shelf life [3] .

Discussion

The 1-MCP results for jackfruit fill an evidence gap. While the chemical has been extensively tested on temperate fruits, its performance in large tropical climacteric fruits like jackfruit was not well documented. The 4.1-day delay in ethylene peak is comparable to effects seen in mango (3-5 day delay) and suggests that the ethylene perception pathway in jackfruit responds similarly to receptor-blocking agents [5] . The 18.7% reduction in weight loss with 1-MCP likely reflects reduced respiratory metabolism and slower cuticular wax degradation under ethylene suppression. The AMMI model proved useful for separating genotype main effects from genotype-by-environment interaction. G4 and G7 emerged as stable, high-yielding genotypes a finding that aligns with farmer preferences in the Kaziranga area, where both are locally popular but had never been formally evaluated for storage performance [1] . Releasing these genotypes through regional nursery networks, paired with raised bed planting advice, could reduce post-harvest losses meaningfully without requiring expensive cold-chain infrastructure.

A practical constraint is 1-MCP cost and availability in rural Assam. While the technology is standard in apple packhouses, its supply chain does not yet extend to jackfruitgrowing areas. Development of locally manufactured ethylene absorbers (e.g., potassium permanganate sachets) as a cheaper alternative merits testing [6] .

Conclusion

Cold storage at 13 °C combined with 1-MCP treatment extended jackfruit shelf life to nearly 15 days, while the AMMI model identified genotypes G4 and G7 as stable high-performers across storage environments. Raised bed cultivation reduced waterlogging damage by 62.4% and increased marketable yield. These findings provide an integrated management package for Kaziranga floodplain jackfruit growers: genotype selection, landscape modification, and post-harvest technology applied together could substantially reduce the current 30%+ loss rate. Future work should test affordable ethylene management alternatives and pilot the raised bed approach across a wider range of Brahmaputra floodplain sites.

Acknowledgement

Acknowledgements Funding SourcesThis research was supported by the Hangzhou Graduate School of Bioagricultural Studies through its international crop post-harvest research allocation. Institutional SupportThe authors acknowledge the Hangzhou Graduate School of

Figures and tables from the paper

Table 1. Post-harvest quality of jackfruit at day 7 across storage treatments (mean±SD, n = 10 genotypes)
TreatmentFirmness (N)TSS (°Brix)Weight Loss (%)TPC (log CFU/g)Shelf Life (days)
Ambient8.4±1.723.8±1.49.7±1.25.8±0.65.2
Cold (13°C)21.3±2.119.4±1.13.8±0.73.2±0.412.5
Ambient + 1-MCP14.7±1.921.6±1.37.1±0.94.6±0.58.7
Cold + 1-MCP24.8±1.618.1±0.92.4±0.52.4±0.314.8

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Post-harvest quality of jackfruit at day 7 across storage treatments (mean±SD, n = 10 genotypes)↗ Enlarge
Table 1
Post-harvest quality of jackfruit at day 7 across storage treatments (mean±SD, n = 10 genotypes)

Post-harvest quality of jackfruit at day 7 across storage treatments (mean±SD, n = 10 genotypes)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Contribution of post-harvest factors to jackfruit quality loss in the Kaziranga floodplain
Contribution of post-harvest factors to jackfruit quality loss in the Kaziranga floodplain↗ Enlarge
Figure 1
Contribution of post-harvest factors to jackfruit quality loss in the Kaziranga floodplain

Contribution of post-harvest factors to jackfruit quality loss in the Kaziranga floodplain

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 2. AMMI analysis: genotype ranking for biomass yield and stability across storage environments
GenotypeMean Yield (kg/tree)AMMI Stability ValueShelf Life Cold (days)Rank
G421.20.3214.11
G724.60.3813.82
G1022.80.4112.93
G218.70.7111.44
G112.30.3413.25

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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AMMI analysis: genotype ranking for biomass yield and stability across storage environments↗ Enlarge
Table 2
AMMI analysis: genotype ranking for biomass yield and stability across storage environments

AMMI analysis: genotype ranking for biomass yield and stability across storage environments

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Original paper tableSource PDF · page 3 ↗
Figure 2. Relationship between biomass accumulation and AMMI stability index across jackfruit genotypes
Relationship between biomass accumulation and AMMI stability index across jackfruit genotypes↗ Enlarge
Figure 2
Relationship between biomass accumulation and AMMI stability index across jackfruit genotypes

Relationship between biomass accumulation and AMMI stability index across jackfruit genotypes

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Original paper figureSource PDF · page 3 ↗

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