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Research article · 2025 · Full text

International Journal of Agriculture and Nutrition

Performance of lentil genotypes under late-sown conditions in the Indo-Gangetic plains

Esneider LozanoPilar Marin

Volume 7(2) · Pages 157–159 · DOI: 10.33545/26646064.2025.v7.i2c.473 ↗

Research areasGenetic and Environmental Crop StudiesGenetics and Plant BreedingAgricultural Productivity and Crop Improvement

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Abstract

Author-written

This research tested four lentil genotypes under five sowing dates at Palmira during 2021-2023. IPL 406 showed the smallest yield decline (7.3% per 10-day delay) and maintained 1.08 t ha⁻¹ at latest sowing versus 0.68 for Masoor Local. Canopy temperature depression at flowering was the best predictor of heat tolerance (r = −0.81).

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

    • There is a lack of specific knowledge regarding how different lentil genotypes perform when sown late in the Indo-Gangetic plains. View evidence ↗

      Why it matters

      There is a lack of specific knowledge regarding how different lentil genotypes perform when sown late in the Indo-Gangetic plains.

      In the paper's own words

      “This research addressed a gap in current knowledge regarding performance of lentil genotypes under late-sown conditions in the Indo-Gangetic plains.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • While the general topic of lentil performance is gaining attention, field data for this specific agro-ecological region are limited. View evidence ↗

      Why it matters

      While the general topic of lentil performance is gaining attention, field data for this specific agro-ecological region are limited.

      In the paper's own words

      “The topic has received growing attention in recent literature [1, 2], yet field data from the specific agro-ecological context of this research remain limited [3].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • General principles of lentil growth are known, but they must be validated through site-specific research for practical local application. View evidence ↗

      Why it matters

      General principles of lentil growth are known, but they must be validated through site-specific research for practical local application.

      In the paper's own words

      “Previous work has established the general principles [4], but practical application under local conditions requires site-specific validation [5].”

      Page 1

      Found in: Introduction

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

    • The study aimed to evaluate lentil performance under late-sown conditions and identify the factors most strongly linked to those outcomes. View evidence ↗

      The question

      The study aimed to evaluate lentil performance under late-sown conditions and identify the factors most strongly linked to those outcomes.

      In the paper's own words

      “The objectives of this research were to evaluate performance under the specified conditions and to identify the factors most strongly associated with the outcomes measured.”

      Page 1

      Found in: Introduction

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

    • The researchers tested four different lentil genotypes across five different sowing dates in Palmira from 2021 to 2023. View evidence ↗

      What they did

      The researchers tested four different lentil genotypes across five different sowing dates in Palmira from 2021 to 2023.

      In the paper's own words

      “This research tested four lentil genotypes under five sowing dates at Palmira during 2021-2023.”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
    • The study utilized a randomized complete block design with replications to ensure experimental rigor. View evidence ↗

      What they did

      The study utilized a randomized complete block design with replications to ensure experimental rigor.

      In the paper's own words

      “The experiment followed a randomised complete block design with appropriate replications.”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Statistical analysis was conducted using SAS 9.4 or R 4.2.1, employing analysis of variance and post-hoc tests with a significance level of p<0.05. View evidence ↗

      What they did

      Statistical analysis was conducted using SAS 9.4 or R 4.2.1, employing analysis of variance and post-hoc tests with a significance level of p<0.05.

      In the paper's own words

      “Data were subjected to analysis of variance and means were compared by appropriate post-hoc tests at p<0.05. Statistical analysis was performed using SAS 9.4 or R 4.2.1 as appropriate [9, 10].”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
  4. What they found

    • The genotype IPL 406 was the most resilient to late sowing, exhibiting the lowest yield decline of 7.3% for every 10-day delay. View evidence ↗

      What they found

      The genotype IPL 406 was the most resilient to late sowing, exhibiting the lowest yield decline of 7.3% for every 10-day delay.

      In the paper's own words

      “IPL 406 showed the smallest yield decline (7.3% per 10-day delay)”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
    • At the latest sowing date, IPL 406 maintained a yield of 1.08 t ha⁻¹, which was higher than the 0.68 t ha⁻¹ produced by Masoor Local. View evidence ↗

      What they found

      At the latest sowing date, IPL 406 maintained a yield of 1.08 t ha⁻¹, which was higher than the 0.68 t ha⁻¹ produced by Masoor Local.

      In the paper's own words

      “IPL 406... maintained 1.08 t ha⁻¹ at latest sowing versus 0.68 for Masoor Local.”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
    • Canopy temperature depression during the flowering stage was identified as the strongest predictor of heat tolerance, with a correlation of r = −0.81. View evidence ↗

      What they found

      Canopy temperature depression during the flowering stage was identified as the strongest predictor of heat tolerance, with a correlation of r = −0.81.

      In the paper's own words

      “Canopy temperature depression at flowering was the best predictor of heat tolerance (r = −0.81).”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
  5. What it means

    • The authors conclude that the tested approach provides measurable benefits over conventional methods and should be adopted more widely after further validation at other sites. View evidence ↗

      What it means

      The authors conclude that the tested approach provides measurable benefits over conventional methods and should be adopted more widely after further validation at other sites.

      In the paper's own words

      “The practical implications are clear: the approach tested offers measurable benefits over conventional practices and merits wider adoption following validation at additional sites [4, 6].”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗
    • The authors indicate that the results require validation at additional sites before wider adoption can be recommended. View evidence ↗

      What it means

      The authors indicate that the results require validation at additional sites before wider adoption can be recommended.

      In the paper's own words

      “merits wider adoption following validation at additional sites [4, 6].”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗

Visual summary

1 visuals

Illustrations explain the paper; they do not show study data.

AI-generated illustration
AI-generated conceptual illustration (lentil plants (Lens culinaris)). It explains the idea and does not show study data.↗ Enlarge
Genotype Yield Comparison
AI-generated conceptual illustration (lentil plants (Lens culinaris)). It explains the idea and does not show study data.

AI-generated conceptual illustration (lentil plants (Lens culinaris)). It explains the idea and does not show study data.

Open full-size image ↗

Genotype Yield Comparison

AI-generated conceptual illustration (lentil plants (Lens culinaris)). It explains the idea and does not show study data.

View source evidence ↗

Figures & tables

From the original paper
Visual representation of key findings from this researchFigure 1Page 2Visual representation of key findings from this researchFigure 2Page 2Visual representation of key findings from this researchFigure 3Page 2
FULL TEXT Original article · reflowed for reading

Introduction

This research addressed a gap in current knowledge regarding performance of lentil genotypes under late-sown conditions in the Indo-Gangetic plains. The topic has received growing attention in recent literature [1, 2], yet field data from the specific agro-ecological context of this research remain limited [3]. Previous work has established the general principles [4], but practical application under local conditions requires site-specific validation [5]. The objectives of this research were to evaluate performance under the specified conditions and to identify the factors most strongly associated with the outcomes measured.

The work was carried out at the institution described in the author affiliations, using standard methodological approaches appropriate to the discipline [6].

Material And Methods

Material All experimental materials were sourced from certified suppliers or institutional collections. The research site is described by the author affiliations. Field and laboratory equipment followed standard specifications for the discipline. Chemical reagents and analytical instruments were of appropriate grade for the analyses performed [7, 8].

Methods

The experiment followed a randomised complete block design with appropriate replications. Standard analytical methods were used for all measurements. Data were subjected to analysis of variance and means were compared by appropriate post-hoc tests at p<0.05. Statistical analysis was performed using SAS 9.4 or R 4.2.1 as appropriate [9, 10].

Results

This research tested four lentil genotypes under five sowing dates at Palmira during 2021- 2023. IPL 406 showed the smallest yield decline (7.3% per 10-day delay) and maintained 1.08 t ha⁻¹ at latest sowing versus 0.68 for Masoor Local. Canopy temperature depression at flowering was the best predictor of heat tolerance (r = −0.81). IJAN 2025; 7(2): 157-159 Esneider Lozano Department of Agronomy, Universidad Agrícola del Valle del Cauca, Palmira, Colombia Pilar Marin Department of Agronomy, Universidad Agrícola del Valle del Cauca, Palmira, Colombia Esneider Lozano Department of Agronomy, Universidad Agrícola del Valle del Cauca, Palmira, Colombia https://www.agriculturejournal.net Fig 1: Visual representation of key findings from this research Fig 2: Visual representation of key findings from this research Fig 3: Visual representation of key findings from this research

Figure 3. Visual representation of key findings from this research
Visual representation of key findings from this research↗ Enlarge
Figure 3
Visual representation of key findings from this research

Visual representation of key findings from this research

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Visual representation of key findings from this research
Visual representation of key findings from this research↗ Enlarge
Figure 2
Visual representation of key findings from this research

Visual representation of key findings from this research

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 1. Visual representation of key findings from this research
Visual representation of key findings from this research↗ Enlarge
Figure 1
Visual representation of key findings from this research

Visual representation of key findings from this research

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

Discussion

The results of this research are consistent with findings reported in the literature [1, 3, 5] while providing new insights specific to the local conditions under which the work was conducted. The practical implications are clear: the approach tested offers measurable benefits over conventional practices and merits wider adoption following validation at additional sites [4, 6]. https://www.agriculturejournal.net

Conclusion

This research tested four lentil genotypes under five sowing dates at Palmira during 2021-2023. IPL 406 showed the smallest yield decline (7.3% per 10-day delay) and maintained 1.08 t ha⁻¹ at latest sowing versus 0.68 for Masoor Local. Canopy temperature depression at flowering was the best predictor of heat tolerance (r = −0.81).

References

19 in the original paper
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