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Research article · 2025 · Full text

International Journal of Agriculture and Food Science

Effects of transplanting dates and varietal selection on growth parameters of Rice (Oryza sativa L.)

Kamanpreet KourRaihana Habib KanthParmeet SinghLal SinghZahida Rashed

Volume 7(12) · Pages 385–388 · DOI: 10.33545/2664844x.2025.v7.i12e.1068 ↗

Research areasRice Cultivation and Yield ImprovementAgricultural Science and FertilizationNitrogen and Sulfur Effects on Brassica

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Abstract

Author-written

A field study was conducted at the experimental farm Division of Agronomy, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura Sopore to evaluate the influence of different transplanting dates and rice varieties on various growth parameters. Three transplanting dates (7th June, 14th June, and 21st June) and four rice varieties (Jehlum, SR-1, SR-2, and SR-3) were tested in a factorial design. Results indicated that transplanting dates and varieties significantly affected plant height, tiller production, leaf area index, dry matter accumulation, relative growth rate, and leaf number per culm at different growth stages. Early transplanting (7th June) resulted in taller plants (128.09 cm) at maturity compared to late transplanting (118.86 cm). Variety SR-2 recorded the highest plant height (133.73 cm), dry matter accumulation (130.88 q ha⁻¹), and leaf area index (5.36) at 60 DAT. Tiller production peaked at 60 DAT across all treatments, with SR-3 producing the highest number of tillers (468.77 m⁻²). Maximum leaf area index of 5.02 was achieved with 7th June transplanting at 60 DAT. Early transplanting generally favored growth parameters during later developmental stages, while variety SR-2 consistently performed better across most parameters.

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

    • Rice is a critical global cereal crop that provides a staple food source for over half of the world's population, making it essential for food security in developing nations. View evidence ↗

      Why it matters

      Rice is a critical global cereal crop that provides a staple food source for over half of the world's population, making it essential for food security in developing nations.

      In the paper's own words

      “Rice (Oryza sativa L.) is one of the most important cereal crops globally, serving as a staple food for more than half of the world's population and contributing significantly to food security in developing countries.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The growth, development, and final yield of rice are heavily influenced by management practices, specifically the selection of the rice variety and the timing of transplanting. View evidence ↗

      Why it matters

      The growth, development, and final yield of rice are heavily influenced by management practices, specifically the selection of the rice variety and the timing of transplanting.

      In the paper's own words

      “The success of rice cultivation largely depends on appropriate crop management practices, among which transplanting time and variety selection are critical factors that significantly influence plant growth, development, and ultimately yield.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Choosing the correct transplanting date is vital to ensure the crop encounters favorable environmental conditions during key growth stages like flowering and grain filling. View evidence ↗

      Why it matters

      Choosing the correct transplanting date is vital to ensure the crop encounters favorable environmental conditions during key growth stages like flowering and grain filling.

      In the paper's own words

      “The optimal transplanting time ensures that the crop experiences favorable environmental conditions during critical growth phases such as tillering, panicle initiation, flowering, and grain filling.”

      Page 1

      Found in: Introduction

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

    • The study aimed to evaluate how different rice varieties and transplanting dates affect various growth parameters of the crop. View evidence ↗

      The question

      The study aimed to evaluate how different rice varieties and transplanting dates affect various growth parameters of the crop.

      In the paper's own words

      “A field study was conducted... to evaluate the influence of different transplanting dates and rice varieties on various growth parameters.”

      Page 1

      Found in: Conclusions

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

    • The research was a field experiment conducted during the 2018 kharif season at the Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir in Wadura Sopore. View evidence ↗

      What they did

      The research was a field experiment conducted during the 2018 kharif season at the Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir in Wadura Sopore.

      In the paper's own words

      “The field experiment was conducted during the kharif season of 2018 at the experimental farm Division of Agronomy, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura Sopore.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • The study used a factorial randomized block design with three replications, testing three transplanting dates (June 7, 14, and 21) and four rice varieties (Jehlum, SR-1, SR-2, and SR-3). View evidence ↗

      What they did

      The study used a factorial randomized block design with three replications, testing three transplanting dates (June 7, 14, and 21) and four rice varieties (Jehlum, SR-1, SR-2, and SR-3).

      In the paper's own words

      “The experiment was designed as a factorial randomized block design (RBD) with three replications. The treatments comprised two factors: Factor A included three transplanting dates (7th June, 14th June, and 21st June) and Factor B consisted of four rice varieties (Jehlum, SR-1, SR-2, and SR-3).”

      Page 2

      Found in: Conclusions

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

    • Plants transplanted on June 7 were significantly taller at maturity (128.09 cm) than those transplanted on June 21 (118.86 cm). View evidence ↗

      What they found

      Plants transplanted on June 7 were significantly taller at maturity (128.09 cm) than those transplanted on June 21 (118.86 cm).

      In the paper's own words

      “from 40 DAT onward, 7th June transplanting resulted in significantly taller plants (128.09 cm at maturity) compared to 21st June transplanting (118.86 cm)”

      Page 2

      Found in: Plant Height

      Read it in the full textOpen PDF at page 2 ↗
    • Variety SR-2 was the tallest across all measurement intervals, reaching a height of 133.73 cm at maturity. View evidence ↗

      What they found

      Variety SR-2 was the tallest across all measurement intervals, reaching a height of 133.73 cm at maturity.

      In the paper's own words

      “Among varieties, SR-2 consistently recorded the tallest plants at all measurement intervals, reaching 133.73 cm at maturity”

      Page 2

      Found in: Dry Matter Accumulation

      Read it in the full textOpen PDF at page 2 ↗
    • Variety SR-3 showed the best tillering capacity, with 468.77 tillers per m² at 60 days after transplanting (DAT) and 336.11 tillers per m² at maturity. View evidence ↗

      What they found

      Variety SR-3 showed the best tillering capacity, with 468.77 tillers per m² at 60 days after transplanting (DAT) and 336.11 tillers per m² at maturity.

      In the paper's own words

      “Variety SR-3 demonstrated superior tillering capacity, producing 468.77 tillers m⁻² at 60 DAT and maintaining 336.11 tillers m⁻² at maturity.”

      Page 3

      Found in: Dry Matter Accumulation

      Read it in the full textOpen PDF at page 3 ↗
    • Variety SR-2 had the highest leaf area index (LAI) throughout the season, peaking at 5.36 at 60 DAT and ending at 2.90 at maturity. View evidence ↗

      What they found

      Variety SR-2 had the highest leaf area index (LAI) throughout the season, peaking at 5.36 at 60 DAT and ending at 2.90 at maturity.

      In the paper's own words

      “Variety SR-2 consistently maintained the highest LAI throughout the growing season, reaching a maximum of 5.36 at 60 DAT and maintaining 2.90 at maturity.”

      Page 3

      Found in: Dry Matter Accumulation

      Read it in the full textOpen PDF at page 3 ↗
    • From 80 DAT until maturity, the June 7 transplanting date resulted in the highest dry matter accumulation, reaching 130.41 q ha⁻¹. View evidence ↗

      What they found

      From 80 DAT until maturity, the June 7 transplanting date resulted in the highest dry matter accumulation, reaching 130.41 q ha⁻¹.

      In the paper's own words

      “from 80 DAT to maturity, 7th June transplanting showed superior dry matter accumulation, reaching 130.41 q ha⁻¹ at maturity.”

      Page 3

      Found in: Dry Matter Accumulation

      Read it in the full textOpen PDF at page 3 ↗
    • Variety SR-2 achieved the highest dry matter accumulation among all varieties, reaching 130.88 q ha⁻¹ at maturity. View evidence ↗

      What they found

      Variety SR-2 achieved the highest dry matter accumulation among all varieties, reaching 130.88 q ha⁻¹ at maturity.

      In the paper's own words

      “Among varieties, SR-2 demonstrated the highest dry matter accumulation capacity, achieving 130.88 q ha⁻¹ at maturity”

      Page 3

      Found in: Dry Matter Accumulation

      Read it in the full textOpen PDF at page 3 ↗
    • Variety SR-2 had the most leaves per culm, with 5.23 at 60 DAT and 2.91 at maturity. View evidence ↗

      What they found

      Variety SR-2 had the most leaves per culm, with 5.23 at 60 DAT and 2.91 at maturity.

      In the paper's own words

      “Variety SR-2 recorded the highest number of leaves per culm at 60 DAT (5.23), maintaining 2.91 leaves at maturity.”

      Page 3

      Found in: Growth parameters measured at 20-day intervals included:

      Read it in the full textOpen PDF at page 3 ↗
    • The relative growth rate (RGR) was higher for June 21 transplanting early on (0.130 g g⁻¹ day⁻¹ at 20-40 DAT), but June 7 transplanting was higher from 40-60 DAT (0.068 g g⁻¹ day⁻¹). View evidence ↗

      What they found

      The relative growth rate (RGR) was higher for June 21 transplanting early on (0.130 g g⁻¹ day⁻¹ at 20-40 DAT), but June 7 transplanting was higher from 40-60 DAT (0.068 g g⁻¹ day⁻¹).

      In the paper's own words

      “At 20-40 DAT, 21st June transplanting recorded higher RGR (0.130 g g⁻¹ day⁻¹), while from 40-60 DAT onward, 7th June transplanting maintained higher values (0.068 g g⁻¹ day⁻¹).”

      Page 3

      Found in: Relative Growth Rate

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

1 visuals

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

AI-generated illustration
AI-generated conceptual illustration (Rice plants (Oryza sativa L.) in a field). It explains the idea and does not show study data.↗ Enlarge
Experimental Design Layout
AI-generated conceptual illustration (Rice plants (Oryza sativa L.) in a field). It explains the idea and does not show study data.

AI-generated conceptual illustration (Rice plants (Oryza sativa L.) in a field). It explains the idea and does not show study data.

Open full-size image ↗

Experimental Design Layout

AI-generated conceptual illustration (Rice plants (Oryza sativa L.) in a field). It explains the idea and does not show study data.

View source evidence ↗

Figures & tables

From the original paper
Plant height (cm) of rice as influenced by dates ofTable 1Page 2Tiller number of rice as influenced by dates ofTable 2Page 2Relative Growth Rate (RGR) g g⁻¹ day⁻¹ of rice asTable 5Page 3Leaf area index of rice as influenced by dates ofTable 3Page 3Dry matter production (q ha⁻¹) of rice as influenced byTable 4Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Rice (Oryza sativa L.) is one of the most important cereal crops globally, serving as a staple food for more than half of the world's population and contributing significantly to food security in developing countries. With the global population projected to reach 9.7 billion by 2050, there is an urgent need to enhance rice productivity to meet the increasing food demand. Rice cultivation covers approximately 165 million hectares worldwide, with Asia accounting for about 90% of global production and consumption. The success of rice cultivation largely depends on appropriate crop management practices, among which transplanting time and variety selection are critical factors that significantly influence plant growth, development, and ultimately yield. The timing of transplanting affects various physiological processes including germination, vegetative growth, reproductive development, and grain filling, while varietal selection determines the genetic potential and adaptability of the crop to specific environmental conditions. Transplanting date is a crucial agronomic decision that affects the entire growth cycle of rice. The optimal transplanting time ensures that the crop experiences favorable environmental conditions during critical growth phases such as tillering, panicle initiation, flowering, and grain filling. Early transplanting may expose the crop to unfavorable temperature conditions during early growth stages, while delayed transplanting can result in exposure to adverse weather conditions during the reproductive phase, potentially reducing yield and quality. The relationship between transplanting date and environmental factors such as temperature, photoperiod, solar radiation, and rainfall distribution plays a pivotal role in determining crop performance. Temperature is particularly important as it influences enzyme activity, metabolic processes, and developmental rates. Photoperiod sensitivity in rice varieties affects the timing of flowering and grain filling, making the synchronization of transplanting date with favorable photoperiodic conditions essential for optimal growth.

Growth parameters measured at 20-day intervals included:

 Plant height (cm) using meter scale from soil surface to leaf apex during vegetative stage and panicle tip after emergence  Tiller number per m² through direct counting  Leaf area index (LAI) calculated as total leaf area per unit ground area  Dry matter accumulation (q ha⁻¹) through destructive sampling, sun-drying, and oven-drying at 60-70°C to constant weight  Relative growth rate (RGR) using formula: RGR = (loge W₂ -loge W₁)/(T₂ -T₁)  Number of leaves per culm through direct counting Data were subjected to analysis of variance using OPSTAT software package, and treatment means were compared using least significant difference (LSD) test at 5% probability level.

Results

Results

Plant Height

Plant height increased consistently up to 100 DAT across all treatments, with marginal increases thereafter. At 20 DAT, transplanting dates showed no significant effect on plant height (23.63-24.77 cm). However, from 40 DAT onward, 7th June transplanting resulted in significantly taller plants (128.09 cm at maturity) compared to 21st June transplanting (118.86 cm), while remaining statistically similar to 14th June transplanting (122.99 cm).

Dry Matter Accumulation

Dry matter production showed significant variation among treatments. Up to 60 DAT, 21st June transplanting accumulated significantly higher dry matter (53.25 q ha⁻¹). However, from 80 DAT to maturity, 7th June transplanting showed superior dry matter accumulation, reaching 130.41 q ha⁻¹ at maturity. Among varieties, SR-2 demonstrated the highest dry matter accumulation capacity, achieving 130.88 q ha⁻¹ at maturity, followed by SR-3 (125.33 q ha⁻¹), SR-1 (120.44 q ha⁻¹), and Jehlum (119.44 q ha⁻¹).

Relative Growth Rate

Relative growth rate varied significantly during early growth periods. At 20-40 DAT, 21st June transplanting recorded higher RGR (0.130 g g⁻¹ day⁻¹), while from 40-60 DAT onward, 7th June transplanting maintained higher values (0.068 g g⁻¹ day⁻¹).

Conclusions

The study demonstrates that both transplanting dates and variety selection significantly influence rice growth parameters. Early transplanting (7th June) generally favored growth characteristics during later developmental stages, particularly for tiller retention, leaf area maintenance, and dry matter accumulation. Among varieties, SR-2 consistently performed better across most growth parameters, while SR-3 showed superior tillering capacity. These findings suggest that for optimal growth performance, early transplanting combined with appropriate variety selection (SR-2 for overall growth, SR-3 for high tillering) would be most beneficial. The interaction between transplanting time and variety characteristics highlights the importance of integrated crop management approaches for maximizing rice production potential.

Figures and tables from the paper

Table 1. Plant height (cm) of rice as influenced by dates of
Treatments20 DAT40 DAT60 DAT80 DAT100 DATMaturity
Transplanting Dates
7th June23.6371.7294.70120.20126.66128.09
14th June23.7077.9798.61114.17120.24122.99
21st June24.7778.47104.92111.05117.75118.86
SE (m)0.421.361.772.052.162.26
CD (p ≤ 0.05)N.S4.015.216.046.356.47
Varieties
Jehlum24.2775.1395.94114.10118.18119.92
SR-124.4473.0195.54111.80116.19118.53
SR-223.2981.63107.83123.84131.28133.73
SR-324.1475.8298.34115.82119.58121.08
SE(m)0.491.572.012.372.492.60
CD (p ≤ 0.05)N.S4.635.927.127.337.48

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

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Plant height (cm) of rice as influenced by dates of↗ Enlarge
Table 1
Plant height (cm) of rice as influenced by dates of

Plant height (cm) of rice as influenced by dates of

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Original paper tableSource PDF · page 2 ↗
Table 2. Tiller number of rice as influenced by dates of
Treatments20 DAT40 DAT60 DAT80 DAT100 DATMaturity
Transplanting Dates
7th June164.50265.25478.83396.16365.75349.00
14th June165.41275.91451.83365.25340.83318.83
21st June170.53281.08418.83345.91323.08291.75
SE (m)1.923.525.664.174.394.13
CD (p ≤ 0.05)N.S10.3316.6312.2412.8812.11
Varieties
Jehlum167.66278.00451.33370.77349.00323.22
SR-1162.44271.22445.33370.66345.00319.22
SR-2156.44262.55422.88352.22329.11300.66
SR-3174.33284.55468.77382.77352.44336.11
SE(m)2.224.066.544.825.074.77
CD (p ≤ 0.05)6.5211.9319.2814.1414.1713.99

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

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Tiller number of rice as influenced by dates of↗ Enlarge
Table 2
Tiller number of rice as influenced by dates of

Tiller number of rice as influenced by dates of

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Table 5. Relative Growth Rate (RGR) g g⁻¹ day⁻¹ of rice as
Treatments20-40 DAT40-60 DAT60-80 DAT80-100 DAT100- Maturity
Transplanting Dates
7th June0.1220.0680.0310.0180.00161
14th June0.1270.0640.0260.0180.00159
21st June0.1300.0650.0210.0170.00151
SE (m)0.00090.0010.00010.00010.00015
CD (p ≤ 0.05)0.00260.003N.SN.SN.S
Varieties
Jehlum0.1220.0670.0250.0190.0017
SR-10.1270.0640.0260.0170.0016
SR-20.1250.0660.0260.0170.0016
SR-30.1300.0640.0260.0170.0013
SE(m)0.00090.00010.00010.00010.00017
CD (p ≤ 0.05)0.0030N.SN.SN.SN.S

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

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Relative Growth Rate (RGR) g g⁻¹ day⁻¹ of rice as↗ Enlarge
Table 5
Relative Growth Rate (RGR) g g⁻¹ day⁻¹ of rice as

Relative Growth Rate (RGR) g g⁻¹ day⁻¹ of rice as

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Original paper tableSource PDF · page 3 ↗
Table 3. Leaf area index of rice as influenced by dates of
Treatments20 DAT40 DAT60 DAT80 DAT100 DATMaturity
Transplanting Dates
7th June0.172.175.024.653.872.53
14th June0.182.344.774.463.472.32
21st June0.202.444.624.153.222.24
SE (m)0.0180.040.080.080.060.04
CD (p ≤ 0.05)N.S0.120.250.240.180.13
Varieties
Jehlum0.172.194.624.413.332.32
SR-10.182.134.473.993.201.96
SR-20.202.645.365.193.982.90
SR-30.172.244.754.573.462.51
SE(m)0.0210.040.090.090.070.05
CD (p ≤ 0.05)N.S0.130.290.270.210.15

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

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Leaf area index of rice as influenced by dates of

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Table 4. Dry matter production (q ha⁻¹) of rice as influenced by
Treatments20 DAT40 DAT60 DAT80 DAT100 DATMaturity
Transplanting Dates
7th June2.0012.5048.4189.66128.41130.41
14th June2.0314.0050.0884.66119.58123.08
21st June2.0814.5853.2580.58113.25114.33
SE (m)0.0480.210.601.522.172.16
CD (p ≤ 0.05)N.S0.621.784.476.366.34
Varieties
Jehlum2.0012.5543.5580.77114.77119.44
SR-12.1013.3348.5584.00118.77120.44
SR-22.5014.8850.6689.55127.22130.88
SR-32.3014.0049.5585.55120.88125.33
SE(m)0.550.240.701.762.502.49
CD (p ≤ 0.05)N.S0.722.065.177.357.47

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

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Table 4
Dry matter production (q ha⁻¹) of rice as influenced by

Dry matter production (q ha⁻¹) of rice as influenced by

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Original paper tableSource PDF · page 3 ↗

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