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Research article · 2024 · Full text

International Journal of Research in Agronomy

Influence of micronutrients on growth and productivity of kharif sunflower (Helianthus annuus L.)

Priya SharmaAS KarleA. N. JadhavChakravarthi RajkumarBK Choudhari

Volume 7(3) · Pages 690–693 · DOI: 10.33545/2618060x.2024.v7.i3i.500 ↗

Research areasPlant Growth Enhancement TechniquesSunflower and Safflower Cultivation

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Abstract

Author-written

A field experiment was carried out during kharif season of 2022 at Experimental Farm, Agronomy Section, Oilseeds Research Station, Latur to investigate the effect of different micronutrients on growth and yield of sunflower (Helianthus annuus L.). The experiment consisted of nine treatments laid out in randomized block design replicated thrice. The treatments were T1 - Control, T2 - RDF (90:45:45 kg N:P:K ha-1), T3 - RDF + ZnSO4 @ 20 kg ha-1, T4 - RDF + FeSO4 @ 20 kg ha-1, T5 - RDF + Borax @ 2 kg ha-1, T6 - RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1, T7 - RDF + Multimicronutrient Grade-1 @ 25 kg ha-1, T8 - RDF + Multimicronutrient Grade-2 @ 0.2% at 20 DAS, T9 - RDF + Multimicronutrient Grade-1 @ 25 kg ha-1 + Multimicronutrient Grade- 2 @ 0.2% at 20 DAS. Application of RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1 (T6) recorded significantly highest growth attributes viz. plant height (195.53 cm), number of functional leaves plant-1 (38.43), leaf area plant-1 (84.84 dm2), stem girth (7.38 cm), head diameter plant-1 (19.10 cm), dry matter accumulation plant-1 (205.33 g), yield attributes viz. number of filled seeds plant-1 (905), weight of head plot-1 (6.47 kg), seed yield (1791 kg ha-1) and straw yield (3579 kg ha-1) being at par with RDF + Borax @ 2 kg ha-1 (T5) and RDF + ZnSO4 @ 20 kg ha-1 (T3) over rest of the treatments.

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

    • Sunflower is a significant oilseed crop in India, ranking fourth in importance after soybean, rapeseed, and groundnut. View evidence ↗

      Why it matters

      Sunflower is a significant oilseed crop in India, ranking fourth in importance after soybean, rapeseed, and groundnut.

      In the paper's own words

      “Sunflower being an important oilseed crop grown in kharif and rabi seasons across the country and holds fourth position after soybean, rapeseed and groundnut.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Sunflower oil is valued as a premium frying oil for snacks due to its oxidative stability, which is attributed to an oleic acid content of 22-50%. View evidence ↗

      Why it matters

      Sunflower oil is valued as a premium frying oil for snacks due to its oxidative stability, which is attributed to an oleic acid content of 22-50%.

      In the paper's own words

      “The oleic acid content of oil is 22-50% due to which it has greater oxidative stability and is useful as a frying oil in preparation of snack foods.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Agricultural productivity in India is challenged by soil nutrient deficiencies, specifically regarding micronutrients. View evidence ↗

      Why it matters

      Agricultural productivity in India is challenged by soil nutrient deficiencies, specifically regarding micronutrients.

      In the paper's own words

      “Indian soils are generally deficient in nutrient status, particularly with respect to micronutrients.”

      Page 1

      Found in: Introduction

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

    • The study aimed to improve the growth and productivity of sunflower by investigating the effects of various micronutrients. View evidence ↗

      The question

      The study aimed to improve the growth and productivity of sunflower by investigating the effects of various micronutrients.

      In the paper's own words

      “In order to tackle the above challenges, the present investigation was formulated to improve growth and productivity of sunflower.”

      Page 2

      Found in: Introduction

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

    • The research was a field experiment conducted during the 2022 kharif season at the Oilseeds Research Station in Latur. View evidence ↗

      What they did

      The research was a field experiment conducted during the 2022 kharif season at the Oilseeds Research Station in Latur.

      In the paper's own words

      “A field experiment was carried out during kharif season of 2022 at Experimental Farm, Agronomy Section, Oilseeds Research Station, Latur to investigate the effect of different micronutrients on growth and yield of sunflower (Helianthus annuus L.).”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The study used a randomized block design with nine different treatments, each replicated three times. View evidence ↗

      What they did

      The study used a randomized block design with nine different treatments, each replicated three times.

      In the paper's own words

      “The experiment consisted of nine treatments laid out in randomized block design replicated thrice.”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The experiment utilized sunflower variety LSFH-171 sown at a rate of 5 kg per hectare. View evidence ↗

      What they did

      The experiment utilized sunflower variety LSFH-171 sown at a rate of 5 kg per hectare.

      In the paper's own words

      “The truthful seed of sunflower var. LSFH-171 was used for sowing with a seed rate of 5 kg ha-1.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The recommended dose of fertilizer (RDF) applied was 90:45:45 kg of Nitrogen, Phosphorus, and Potassium per hectare. View evidence ↗

      What they did

      The recommended dose of fertilizer (RDF) applied was 90:45:45 kg of Nitrogen, Phosphorus, and Potassium per hectare.

      In the paper's own words

      “the recommended dose of fertilizer used was 90:45:45 kg N:P:K ha-1.”

      Page 2

      Found in: Materials and Methods

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

    • The combination of RDF with ZnSO4 (20 kg/ha), FeSO4 (20 kg/ha), and Borax (2 kg/ha) produced the highest growth metrics, including a plant height of 195.53 cm and dry matter accumulation of 205.33 g per plant. View evidence ↗

      What they found

      The combination of RDF with ZnSO4 (20 kg/ha), FeSO4 (20 kg/ha), and Borax (2 kg/ha) produced the highest growth metrics, including a plant height of 195.53 cm and dry matter accumulation of 205.33 g per plant.

      In the paper's own words

      “Application of RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1 (T6) recorded significantly highest growth attributes viz. plant height (195.53 cm), number of functional leaves plant-1 (38.43), leaf area plant-1 (84.84 dm2), stem girth (7.38 cm), head diameter plant-1 (19.10 cm), dry matter accumulation plant-1 (205.33 g)”

      Page 1

      Found in: Number of functional leaves plant -1 and leaf area plant -1 (dm 2 )

      Read it in the full textOpen PDF at page 1 ↗
    • The combined micronutrient treatment (T6) achieved the highest seed yield (1791 kg/ha) and straw yield (3579 kg/ha), performing similarly to treatments using only Borax or ZnSO4. View evidence ↗

      What they found

      The combined micronutrient treatment (T6) achieved the highest seed yield (1791 kg/ha) and straw yield (3579 kg/ha), performing similarly to treatments using only Borax or ZnSO4.

      In the paper's own words

      “yield attributes viz. number of filled seeds plant-1 (905), weight of head plot-1 (6.47 kg), seed yield (1791 kg ha-1) and straw yield (3579 kg ha-1) being at par with RDF + Borax @ 2 kg ha-1 (T5) and RDF + ZnSO4 @ 20 kg ha-1 (T3) over rest of the treatments.”

      Page 1

      Found in: Number of unfilled seeds plant -1

      Read it in the full textOpen PDF at page 1 ↗
    • The combined application of ZnSO4, FeSO4, and Borax (T6) resulted in the lowest number of unfilled seeds per plant (133.67). View evidence ↗

      What they found

      The combined application of ZnSO4, FeSO4, and Borax (T6) resulted in the lowest number of unfilled seeds per plant (133.67).

      In the paper's own words

      “Minimum number of unfilled seeds plant-1 (133.67) were obtained by the application of RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1 (T6)”

      Page 3

      Found in: Number of unfilled seeds plant -1

      Read it in the full textOpen PDF at page 3 ↗
    • The maximum seed yield of 1791 kg/ha was achieved by the T6 treatment, which was statistically comparable to the Borax-only (1612 kg/ha) and ZnSO4-only (1565 kg/ha) treatments. View evidence ↗

      What they found

      The maximum seed yield of 1791 kg/ha was achieved by the T6 treatment, which was statistically comparable to the Borax-only (1612 kg/ha) and ZnSO4-only (1565 kg/ha) treatments.

      In the paper's own words

      “Significantly maximum seed yield (1791 kg ha-1) was obtained with the application of RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1 (T6) over rest of the treatments and found to be at par with RDF + Borax @ 2 kg ha-1 (T5) (1612 kg ha-1) and RDF + ZnSO4 @ 20 kg ha-1 (T3) (1565 kg ha-1)”

      Page 3

      Found in: Number of unfilled seeds plant -1

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that applying RDF combined with ZnSO4 (20 kg/ha), FeSO4 (20 kg/ha), and Borax (2 kg/ha) is the most effective strategy for enhancing sunflower growth and productivity. View evidence ↗

      What it means

      The authors conclude that applying RDF combined with ZnSO4 (20 kg/ha), FeSO4 (20 kg/ha), and Borax (2 kg/ha) is the most effective strategy for enhancing sunflower growth and productivity.

      In the paper's own words

      “From the above study it can be concluded that application of RDF along with combined application of ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1 (T6) performed better in terms of growth and productivity of sunflower.”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗

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 (sunflower plants (Helianthus annuus L.)). It explains the idea and does not show study data.↗ Enlarge
Impact of Combined Micronutrients on Sunflower
AI-generated conceptual illustration (sunflower plants (Helianthus annuus L.)). It explains the idea and does not show study data.

AI-generated conceptual illustration (sunflower plants (Helianthus annuus L.)). It explains the idea and does not show study data.

Open full-size image ↗

Impact of Combined Micronutrients on Sunflower

AI-generated conceptual illustration (sunflower plants (Helianthus annuus L.)). 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
Plant height (cm) / At harvest and Head diameter plant-1 (cm) / At harvest: T1: Control vs T2: RDF (90:45:45 kg... vs T3: RDF + ZnSO4 @ 20 kg... vs T4: RDF + FeSO4 @ 20 kg... vs T5: RDF + Borax @ 2 kg
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 ↗

Plant height (cm) / At harvest and Head diameter plant-1 (cm) / At harvest: T1: Control vs T2: RDF (90:45:45 kg... vs T3: RDF + ZnSO4 @ 20 kg... vs T4: RDF + FeSO4 @ 20 kg... vs T5: RDF + Borax @ 2 kg

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
Plant height, number of functional leaves plant-1, leaf area plant-1, stem girth, head diameter plant-1 and dry matter accumulation plant-1 ofTable 1Page 2Number of filled seeds plant-1, number of unfilled seeds plant-1, weight of head plot-1, seed yield and straw yield of sunflower as influencedTable 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Sunflower being an important oilseed crop grown in kharif and rabi seasons across the country and holds fourth position after soybean, rapeseed and groundnut. The area under sunflower cultivation in India is 0.22 M ha, with the production of 0.23 MT and productivity of 1023 kg ha -1 in 2020-21 (GOI, 2021) [1] . In Maharashtra, sunflower is grown on 26,000 ha area with a production of 12,200 tonnes and productivity of 467.8 kg ha -1 (Krishi Vibhag, 2021) [2] . Sunflower is introduced in India from North America in 1969 to curtail the deficiency of country's edible oil production (Shankergoud et al., 2006) [3] . The kernel oil content ranges from 48 to 53% and for seed it ranges from 28 to 35%. The protein content ranges from 14 to 19%. The crude fibre and ash contents vary from 16 to 27% and 2.4 to 3.0%, respectively. High proportion of essential fatty acidlinoleic acid (18:2) which ranges between 40-67% considered to reduce blood cholesterol level and hence sunflower has a considerable significance. The oleic acid content of oil is 22-50% due to which it has greater oxidative stability and is useful as a frying oil in preparation of snack foods. Sunflower oil has light hue, bland flavour, high smoke point (252 -255 °C) and good nutritional value because of this it is considered as premium oil. Sunflower's protein score is 63 (Soluski and Sarware, 1973) [4] and essential amino acid index is 68 as against 79 for soybean and 100 for egg. Sunflower is also a good source of water-soluble B complex vitamins, namely nicotinic acid (318.7 mg kg -1 ), thiamine (37.8), pantothenic acid (44.8) and riboflavin (3.6). Its seeds also contain some antinutritional constituents such as chlorogenic acid (1.4 to 4.0%) and phenolic compounds (2.6 to 3.8%). Indian soils are generally deficient in nutrient status, particularly with respect to micronutrients. During 1960s, green revolution led to increase in food grain production to feed nation's rapidly increasing population but reduced soil fertility by depleting micronutrient reserves of soil. Later on, intensification of agriculture led to further depletion of micronutrient reserves causing the deficiency of other micronutrients besides aggravating the existing ones (Takkar and Shukla, 2015) [5] . Farmers are indiscriminately using micronutrient fertilizers which is also leading towards the depletion of soil fertility. In order to tackle the above challenges, the present investigation was formulated to improve growth and productivity of sunflower.

Materials and Methods

The experiment was conducted at Experimental Farm, Agronomy Section, Oilseeds Research Station, Latur to study the effect of different micronutrients on growth and yield of sunflower (Helianthus annuus L.) during kharif, 2022. The soil of experimental plot was clayey in texture, neutral in reaction having pH (7.02), low in available nitrogen (231 kg ha -1 ), very low in available phosphorus (8.57 kg ha -1 ), very high in available potassium (579.80 kg ha -1 ) and deficient in micronutrients. Soil was well-drained which was favourable for optimum growth of the crop. The experiment was laid out in randomized block design with 9 treatments replicated thrice. The truthful seed of sunflower var. LSFH-171 was used for sowing with a seed rate of 5 kg ha -1 . Sowing was done by dibbling on 17 July, 2022 and the recommended dose of fertilizer used was 90:45:45 kg N:P:K ha -1 . Nitrogen, phosphorus and potash (90:45:45 kg ha -1 ) was applied through urea (46% N), single super phosphate (16% P 2 O 5 , 48% N) and muriate of potash (60% KCl), respectively. Half dose of nitrogen and full dose of phosphorus and potash were applied in furrow at the time of sowing and remaining half dose of nitrogen was top dressed 30 DAS. Zinc sulphate (21% Zn), ferrous sulphate (19% Fe), borax (11% B) and multimicronutrient grade-1 (2% Fe, 1% Mn, 5% Zn, 0.5% Cu, 1% B) were applied as soil application at sowing while multimicronutrient grade-2 (2.5% Fe, 1% Mn, 3% Zn, 1% Cu, 0.5% B, 0.1% Mo) was foliar sprayed 20 DAS as per the treatments. In control treatment, fertilizers were not applied. The treatments were T 1 -Control, T 2 -RDF (90:45:45 kg N:P:K ha - 1 ), T 3 -RDF + ZnSO 4 @ 20 kg ha -1 , T 4 -RDF + FeSO 4 @ 20 kg ha -1 , T 5 -RDF + Borax @ 2 kg ha -1 , T 6 -RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 , T 7 -RDF + Multimicronutrient Grade-1 @ 25 kg ha -1 , T 8 -RDF + Multimicronutrient Grade-2 @ 0.2% at 20 DAS, T 9 -RDF + Multimicronutrient Grade-1 @ 25 kg ha -1 + Multimicronutrient Grade-2 @ 0.2% at 20 DAS. The recommended cultural practices and plant protection measures were undertaken as per recommendation. The crop was harvested on 12 October, 2022. Data on various variables were analyzed by analysis of variance at P = 0.05 level of probability (Panse and Sukhatme, 1967) [6] .

Results and Discussion

Results and Discussion

Growth attributes

Results presented in Table 1 reveal that growth attributes of sunflower viz. plant height, leaf area plant -1 , stem girth, head diameter and dry matter accumulation plant -1 of sunflower were influenced significantly due to different treatments.

Table 1. Plant height, number of functional leaves plant-1, leaf area plant-1, stem girth, head diameter plant-1 and dry matter accumulation plant-1 of
TreatmentsPlant height (cm)Number of functional leaves plant-1Leaf area plant-1 (dm2)Stem girth (cm)Head diameter plant-1 (cm)Dry matter accumulation plant-1 (g)
At harvest60 DAS60 DAS75 DASAt harvestAt harvest
T1: Control137.8917.5357.145.1211.98115.33
T2: RDF (90:45:45 kg N:P:K ha-1)165.2723.1365.986.3615.28132.33
T3: RDF + ZnSO4 @ 20 kg ha-1183.5335.3375.756.9117.90191.33
T4: RDF + FeSO4 @ 20 kg ha-1175.7033.3072.796.4616.67182.33
T5: RDF + Borax @ 2 kg ha-1190.1136.6080.307.1418.60194.33
T6: RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1195.5338.4384.847.3819.10205.33
T7: RDF + Multimicronutrient Grade-1 @ 25 kg ha-1168.7225.0768.536.4615.69157.00
T8: RDF + Multimicronutrient Grade-2 @ 0.2% at 20 DAS166.9324.4766.356.4215.68145.00
T9: RDF + Multimicronutrient Grade-1 @ 25 kg ha-1 + Multimicronutrient Grade-2 @ 0.2% at 20 DAS171.6227.3369.936.5316.44176.67
SE(m)±8.171.724.030.300.787.45
C.D. (P = 0.05)23.745.0011.730.872.2521.66

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

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Plant height, number of functional leaves plant-1, leaf area plant-1, stem girth, head diameter plant-1 and dry matter accumulation plant-1 of↗ Enlarge
Table 1
Plant height, number of functional leaves plant-1, leaf area plant-1, stem girth, head diameter plant-1 and dry matter accumulation plant-1 of

Plant height, number of functional leaves plant-1, leaf area plant-1, stem girth, head diameter plant-1 and dry matter accumulation plant-1 of

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Original paper tableSource PDF · page 2 ↗

Application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha - 1 + Borax @ 2 kg ha -1 (T 6 ) recorded highest plant height (195.53 cm) which was at par with the application of RDF + Borax @ 2 kg ha -1 (T 5 ), RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) and RDF + FeSO 4 @ 20 kg ha -1 (T 4 ). This might be due to involvement of zinc in biosynthesis of plant hormoneauxin, protein synthesis and activates over 300 enzymes in plants. Zinc, iron and boron help in better utilization of nitrogen and phosphorus in plant which in turn maintains a synergistic relationship among nutrients and leads to vigorous growth. The results obtained are in accordance with the findings of Chowdhary et al. (2010) [7] .

Number of functional leaves plant -1 and leaf area plant -1 (dm 2 )

The maximum number of functional leaves plant -1 (38.43) and leaf area plant -1 (84.84 dm 2 ) were obtained with the application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) which was at par with RDF + Borax @ 2 kg ha -1 (T 5 ) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) and found significantly superior over rest of the treatments. Higher number of functional leaves plant -1 and leaf area plant -1 might be due to better growth of meristem and sufficient supply of micronutrients in an adequate proportion to the plant. The results are confirmative with the findings of Pattanayak et al.

(2016) [8] and Indu and Singh (2020) [9] .

Stem girth (cm) and head diameter plant -1 (cm) Significantly higher stem girth at 75 DAS (7.38 cm) and head diameter plant -1 (19.10 cm) were recorded with the combined application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) over rest of the treatments and found to be at par with RDF + Borax @ 2 kg ha -1 (T 5 ) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ). Increase in stem girth and head diameter plant -1 might be attributed to the influence of boron and zinc responsible for boosting the borate-sugar complex formation and its translocation through the plant from source to sink and assimilation in the sink (head). These results are in accordance with findings of Kawade et al. (2018) [10] and Elayaraja et al.

Dry matter accumulation plant -1 (g) Significantly highest dry matter accumulation plant -1 (205.33 g) was recorded with the combined application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) over rest of the treatments and found to be at par with RDF + Borax @ 2 kg ha -1 (T 5 ) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ).

Higher dry matter accumulation plant -1 might be due to the effect of micronutrients i.e., zinc, iron and boron in combination leads to the better vegetative and reproductive growth of plant by synthesizing plant growth promoting hormones and enhancing photosynthetic potential of the plants. Similar results were reported in the findings of Rahul et al. (2011) [12] and Rex Immanuel et al. (2019) [13] .

Yield and yield attributes

Results showed in Table 2 reveal that number of filled seeds plant -1 , number of unfilled seeds plant -1 , weight of head plot -1 , seed yield and straw yield were influenced significantly due to different treatments.

Table 2. Number of filled seeds plant-1, number of unfilled seeds plant-1, weight of head plot-1, seed yield and straw yield of sunflower as influenced
TreatmentsNumber of filled seeds plant-1Number of unfilled seeds plant-1Weight of head plot-1 (kg)Seed yield (kg ha-1)Straw yield (kg ha-1)
T1: Control431.33296.002.677711828
T2: RDF (90:45:45 kg N:P:K ha-1)601.33284.674.0011792611
T3: RDF + ZnSO4 @ 20 kg ha-1830.67161.335.6715653297
T4: RDF + FeSO4 @ 20 kg ha-1747.67172.005.2314613069
T5: RDF + Borax @ 2 kg ha-1844.00162.336.3316123394
T6: RDF + ZnSO4 @ 20 kg ha-1 + FeSO4 @ 20 kg ha-1 + Borax @ 2 kg ha-1905.00133.676.4717913579
T7: RDF + Multimicronutrient Grade-1 @ 25 kg ha-1638.33268.674.8312672744
T8: RDF + Multimicronutrient Grade-2 @ 0.2% at 20 DAS618.33283.674.7712362723
T9: RDF + Multimicronutrient Grade-1 @ 25 kg ha-1 + Multimicronutrient Grade-2 @ 0.2% at 20 DAS725.00182.675.1014153001
SE(m)±32.9311.270.3379144
C.D. (P = 0.05)95.7332.780.95230419

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Number of filled seeds plant-1, number of unfilled seeds plant-1, weight of head plot-1, seed yield and straw yield of sunflower as influenced↗ Enlarge
Table 2
Number of filled seeds plant-1, number of unfilled seeds plant-1, weight of head plot-1, seed yield and straw yield of sunflower as influenced

Number of filled seeds plant-1, number of unfilled seeds plant-1, weight of head plot-1, seed yield and straw yield of sunflower as influenced

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Original paper tableSource PDF · page 3 ↗

Number of filled seeds plant -1

Maximum number of filled seeds plant -1 (905) were obtained by the application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) which was at par with RDF + Borax @ 2 kg ha -1 (T 5 ) (844) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) (830.67) and found significantly superior over rest of the treatments. This might be due to the efficient translocation and assimilation of photosynthates to the sink from source, pollen germination and pollen viability due to the application of boron. In addition to boron, zinc also contributes to flowering and fruit set and hence number of filled seeds plant -1 increased. The inferences are confirmative with the findings of Elayaraja et al. (2019) [11] and Waghmare et al. (2022) [14] .

Number of unfilled seeds plant -1

Minimum number of unfilled seeds plant -1 (133.67) were obtained by the application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) which was at par with RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) (161.33) and RDF + Borax @ 2 kg ha -1 (T 5 ) (162.33) and found significantly superior over rest of the treatments. Unfilled seeds are the effect of numerous factors including Zn, Fe and B deficiency in the center of the capitulum. Lower the number of chaffy seeds, higher will be the production of crop. The findings were supported by Chowdhary et al. (2010) [7] and Gawande et al. (2022) [15] .

Application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha - 1 + Borax @ 2 kg ha -1 (T 6 ) was found to record maximum weight of head plot -1 (6.47 kg) which was at par with RDF + Borax @ 2 kg ha -1 (T 5 ) (6.33 kg) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) (5.67 kg) and found significantly superior over rest of the treatments.

Significantly maximum seed yield (1791 kg ha -1 ) was obtained with the application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) over rest of the treatments and found to be at par with RDF + Borax @ 2 kg ha -1 (T 5 ) (1612 kg ha -1 ) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) (1565 kg ha -1 )

The increased seed yield caused by the application of boron may most likely owing to a healthy balance of photosynthesis and respiration. Along with boron, zinc and iron also plays a pivotal role in increasing seed yield by better partitioning of assimilates to the sink. These micronutrients increase the uptake of macronutrients which enhances the vegetative and reproductive growth of the crop and hence productivity of the crop is increased. These findings are confirmative with those of Ramulu et al. (2011) [16] and Rex Immanuel (2019) [17] .

Straw yield (kg ha -1 ) Application of RDF + ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha - 1 + Borax @ 2 kg ha -1 (T 6 ) was found to record maximum straw yield (3579 kg ha -1 ) which was at par with RDF + Borax @ 2 kg ha -1 (T 5 ) (3394 kg ha -1 ) and RDF + ZnSO 4 @ 20 kg ha -1 (T 3 ) (3297 kg ha -1 ) and found significantly superior over rest of the treatments.

Higher straw yield might be attributed to the better growth and development of crop because of application of micronutrients. These findings are in confirmative with the findings of Kumbhar (2017) [18] and Rahul et al. (2021) [12] .

Conclusion

From the above study it can be concluded that application of RDF along with combined application of ZnSO 4 @ 20 kg ha -1 + FeSO 4 @ 20 kg ha -1 + Borax @ 2 kg ha -1 (T 6 ) performed better in terms of growth and productivity of sunflower.

References

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  • Effect of application of micronutrients on growth attributes and yield of sunflower (Helianthus annuus L.)

    PS Lomate, AK Ghotmukale, VP Suryavanshi, DN Shinde, VR Bhairewad, NS Mali · International Journal of Research in Agronomy · 2026

    A field experiment was conducted during kharif season, 2025 at Experimental Farm, Oilseeds Research Station, Latur (Maharashtra), to study the response of sunflower (Helianthus annuus L.) to different micronutrients. The experiment was laid out in a Randomized Block Design (RBD) with ten treatments replicated three times. The treatments were T1- RDF (90:45:45 kg N:P2O5:K2O ha−1), T2- RDF + ZnSO4 @ 20 kg ha−1, T3- RDF + ZnSO4 @ 25 kg ha−1, T4- RDF + FeSO4 @ 15 kg ha−1, T5- RDF + FeSO4 @ 20 kg ha−1, T6- RDF + Borax @ 4.0 kg ha−1, T7- RDF + Borax @ 5.0 kg ha−1, T8- RDF + Multi-micronutrient Grade

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