scholarly journals Impact of foliar nutrient sprays, crop and spatial manipulation on seed yield of Callistephus chinensis (L.) Nees

2019 ◽  
Vol 48 (1) ◽  
pp. 123-127
Author(s):  
Muneeb Ahmad Wani ◽  
Ambreena Din ◽  
FU Khan ◽  
Raiz Ahmed Lone ◽  
Gazanfer Gani ◽  
...  
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Quality Parameters ◽  
Planting Density ◽  
Apical Bud ◽  
Yield And Quality ◽  
Foliar Nutrient ◽  
Plant Densities ◽  
China Aster

An attempt was made to study the effect of pinching, plant densities and foliar nutrient sprays on seed yield and quality parameters in China aster cv. Powder puff. The experiment comprised of two levels of pinching (P0 = No pinching, P1 = Pinching), three planting densities (D1 = 30 plants m-2, D2 = 36 plants m-2 and D3 = 42 plants m-2) and three levels of commercial nutrient sprays (S1= 3 sprays, S2= 4 sprays and S3 = 5 sprays), constituting a total of 18 treatment combinations replicated thrice in randomized complete block design (RCBD). Pinching at visible bud stage, significantly increased 1000 seed weight (2.18 g) and seed yield (490.85 kg/ha), Increasing the planting density resulted in increased seed yield (485.55 kg/ha) and 1000 seed weight (2.05 g). On the other hand, 4 and 5 nutrient sprays significantly improved seed yield (463.12 kg/ha-) and 1000 seed weight (1.95 g). The results from the study suggest that increased branching with apical bud removal, wider planting space and 4 to 5 foliar applications of multi-nutrient sprays, significantly improves seed yield and quality attributes of transplanted China aster. While suggesting the best combination of pinching, spacing and nutrient sprays, the economics of flower production was duly considered.

scholarly journals Yield and Quality of Isabgol (Plantago ovata Forsk) as Influenced by Planting Geometry and Nutrient Levels under Eastern Dry Zone of Karnataka

2021 ◽  
pp. 82-87
Author(s):  
M. Eragegowda ◽  
A. P. Mallikarjuna Gowda ◽  
B. N. Maruthiprasad ◽  
T. N. Pushpa ◽  
M. N. Thimmegowda ◽  
...  
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Block Design ◽  
Quality Parameters ◽  
Nutrient Levels ◽  
Planting Geometry ◽  
Yield And Quality ◽  
Randomized Block Design ◽  
Dry Zone ◽  
Swelling Factor

The experiment was laid out in a Factorial Randomized Block Design with sixteen treatments and replicated three times. The result indicated that the spacing of 22.5cm recorded significantly maximum number of spikes (36.50), seed yield (1221 kg /ha), husk yield (305 kg/ha), swelling factor (13.70 cc /g) and protein content (11.91%) in the seeds. Among the different nutrient levels, maximum number of spikes (35.79), seed yield (904 kg /ha), husk yield (225 kg/ha), swelling factor (13.93 cc /g) and protein content (12.24 %) of seeds were obtained with the application of 75 % RDF (37.5:18.75:22.50 + 7.5 t FYM.) and the interaction of row spacing of 22.5 cm and 75% RDF recorded maximum yiled and quality parameters found non significant.

scholarly journals Effect of head decapitation and planting density on quality seed production of sprouting broccoli (Brassica oleracea var. italica L.)

2015 ◽  
Vol 7 (1) ◽  
pp. 471-476 ◽  
Author(s):  
D.K. Mehta ◽  
Tarun Singh ◽  
Rajesh Kanwar
Keyword(s):  
Brassica Oleracea ◽  
Seed Production ◽  
Seed Yield ◽  
Seed Quality ◽  
Quality Parameters ◽  
Planting Density ◽  
Plant Spacing ◽  
Yield And Quality ◽  
Number Of Branches

A study was carried out to evaluate the effect of head decapitation and planting density on plant growth, seed yield and quality of sprouting broccoli, Brassica oleracea var. italica L. using cultivar ‘Green Head’. The twenty treatments comprised of combinations of four head decapitation methods viz., D1 (decapitation of primary head at appearance and harvesting seeds from secondary heads), D2 (decapitation of primary head at marketable stage and harvesting seeds from secondary heads), D3 (removal of secondary heads at appearance and harvesting seeds primary head) and ‘D4’ (No decapitation- control) and five planting densities viz., S1 (60x60 cm), S2 (60x45 cm), S3(45x45 cm), S4 (60x30 cm), and S5 (45x30 cm). Decapitation of primary head at appearance and harvesting seeds from secondary heads (D1) and planting density S3 (45x45 cm) independently as well as in combination gave highest seed yield per plot and per hectare. This combination was also found comparable to other combinations for other characters like days to 50% flowering, days to seed harvesting, plant height at harvesting (cm), number of branches per plant, number of siliqua per plant, siliqua length (cm), number of seeds per siliqua and seed quality parameters. Therefore, it is suggested that decapitation of primary head at appearance and harvesting seeds from secondary heads (D1) in combination with plant spacing of 45x45 cm i.e. D1S3 can be recommended for commercial seed production of sprouting broccoli.

scholarly journals Effect of Genotype and Density on the Productivity of Mungbean

2016 ◽  
Vol 19 (1) ◽  
pp. 11-17
Author(s):  
R Yeasmin ◽  
MA Karim ◽  
MM Haque ◽  
MAB Mia
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Light Transmission ◽  
Block Design ◽  
Plant Spacing ◽  
Seed Number ◽  
Yield Attributes ◽  
Randomized Complete Block Design ◽  
Plant Densities ◽  
Number Of Seeds

An investigation was carried out at the experimental field of the Department of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur during September to November 2014 to evaluate the productivity of three mungbean genotypes, viz., GK-24 (G1), GK-63 (G2) and BU mug 4 (G3) under four plant spacing (densities) such as i) 15 cm x 10 cm= 66 plants m-2 (D1), ii) 20 cm x 10 cm= 50 plants m-2 (D2), iii) 25 cm x 10 cm= 40 plants m-2 (D3) and iv) 30 cm x 10 cm=33 plants m-2 (D4). The experiment was conducted in a factorial randomized complete block design with three replications. A wide variation among the genotypes was observed in relation to light transmission, yield, and yield contributing characters. At 30 cm x 10 cm spacing (D4) the highest light transmission ratio (LTR) was observed in G1 genotype (57.92) and the lowest LTR value in G2 genotype (46.92). Among the three genotypes, G1 produced the highest seed yield (1094 kg ha-1). But highest seed number pod-1 was found in D2 (11.61) while maximum pods plant-1 (11.08) was in D4 treatment followed by D3 (10.59). Among the four plant densities, treatment D3 showed the highest 1000-seed weight (50.30 g). The highest seed yield (1114 kg ha-1) was recorded in the treatment D4. Among the interaction, the highest number of seeds pod-1 (12.20) was found in the treatment D1G3, though the highest number of pods plant-1(12.03) was in treatment D4G1 but the1000-seed weight was the highest (51.92 g) in D3G1. The highest seed yield (1230 kg ha-1) was recorded from treatment D4G1. The result showed that GK 24 genotype performed the best in all respects of yield and yield attributes at 30 cm x 10 cm spacing compared to other treatments.Bangladesh Agron. J. 2016, 19(1): 11-17

scholarly journals Farklı Olgunlaşma Grubuna Giren Soya Çeşitlerinin Niğde Koşullarında Verim ve Kalite Özelliklerinin Belirlenmesi

2017 ◽  
Vol 5 (11) ◽  
pp. 1446
Author(s):  
Sevgi Çalışkan ◽  
Ramazan İlhan Aytekin
Keyword(s):  
Seed Yield ◽  
Crop Production ◽  
Field Experiments ◽  
Block Design ◽  
Quality Parameters ◽  
Central Anatolia ◽  
Maturity Group ◽  
Soybean Cultivars ◽  
Yield And Quality ◽  
Weight Protein

Yield and quality performances of 27 soybean cultivars were evaluated in two years field experiment between 2015 and 2016 at the Experimental Farm of Faculty of Agricultural Sciences and Technologies, Nigde Omer Halisdemir University, Nigde, located in the Central Anatolia Region. The field experiments were laid out in the randomized complete block design with three replications in each year. The main phenological stages of development such as time to emergence, flowering, time to pod formation and time to maturity were determined as calendar days. Plant height, the first pod height, numbers of branch, pod and seed per plant, number of seed per pod, 100-seed weight, protein content, oil content and seed yield per decar were determined as yield and quality parameters. The results of two-year study revealed that the soybean cultivars differed significantly for all characters studied under Nigde conditions. It was also observed that yield and quality performances of cultivars fluctuated in years. Average seed yield values of cultivars were ranged from 135.2 kg/da-1 (Inton-I. maturity group) to 295.8 kg/da-1 (Adasoy-IV maturity group) in 2015 and 2016. In two years mean, the cultivars Adasoy, Sa-88 and Nova were determined as the most promising genotypes for main crop production in Nigde conditions.

Post harvest seed quality of greengram as influenced by pre-harvest spray of insecticides

2016 ◽  
Vol 50 (2) ◽  
Author(s):  
B. N. Raghu ◽  
Rai Prashant Kumar ◽  
Basave Gowda ◽  
N. Manjunatha ◽  
Rajeshwari S. Alur
Keyword(s):  
Seed Yield ◽  
Methyl Parathion ◽  
Seed Quality ◽  
Block Design ◽  
Quality Parameters ◽  
Yield And Quality ◽  
Yield Parameters ◽  
Randomized Block Design ◽  
Two Factors

The experiment was conducted to study the effect of insecticides and stages of insecticidal sprays on seed yield and yield components in greengram. The investigation was carried out in Department of Genetics and Plant Breeding, during <italic>Kharif</italic> 2012. The experiment was laid in factorial randomized block design (FRBD) consisted of 15 treatment combinations involving two factors with three replications. Among the five test insecticides, spraying of malathion @ 2 ml/l recorded significantly more number of pods/plant (20.75), pod weight (20.45g), seed yield/plant (3.17 g), seed yield/hectare (949 kg) and less percentage of infested pods (5.35%) as well as infested seeds/plant (2.66%). It was followed by nimbicidine and methyl parathion. Whereas reciprocal values for these seed yield parameters were noticed in the unsprayed control plants (16.13, 16.53g, 1.84g, 725 kg, 14.13% and 7.89%, respectively). Similar results were recorded in spraying of insecticides at 20 and 10 Days before harvest compare to 20 or 10 Days before harvest. Interaction effect between insecticides and stages of insecticidal spraying were found non-significant for most of the seed yield and quality parameters.

scholarly journals Effect of Foliar Nutrient on Growth, Seed Yield and Quality Parameters in Quinoa (Chenopodium quinoa willd.)

2021 ◽  
Vol 10 (01) ◽  
pp. 980-987
Author(s):  
M. S. Navyashree ◽  
Bineeta Michael Bara ◽  
Garlapati Mohan Krishna ◽  
Kusume Bhanu Rajesh ◽  
Gopika Jaypal
Keyword(s):  
Seed Yield ◽  
Chenopodium Quinoa ◽  
Quality Parameters ◽  
Yield And Quality ◽  
Foliar Nutrient

scholarly journals Effect of zinc and boron on seed yield and quality of onion (Allium cepa L.)

2021 ◽  
Vol 16 (1) ◽  
pp. 87-92
Author(s):  
S. H. Arunkumar ◽  
Jitendra Kumar S. Hilli ◽  
D. S. Uppar
Keyword(s):  
Seed Yield ◽  
Zinc Sulphate ◽  
Seed Quality ◽  
Foliar Application ◽  
Block Design ◽  
Foliar Spray ◽  
Quality Parameters ◽  
Seedling Vigour ◽  
Yield And Quality

The field experiment was carried out in the olericulture unit, MARS, University of Agricultural Sciences, Dharwad during 2019-2020 to study the effect of zinc and boron on seed yield and quality of onion on variety cv. Bhima super at different levels of both basal and foliar application. The treatments consists of soil application of zinc sulphate (5 kg/ha and 10 kg/ ha), Borax (4 kg/ha and 6 kg/ha) and foliar application of zinc sulphate (0.25 % and 0.5 %), Borax (0.1 % and 0.2 %) and control without micronutrient application replicated thrice in a Randomized Block Design. The foliar application was given at 45 days after bulb planting. From the present investigation, a significant increase in seed yield and quality parameters were recorded with foliar spray of zinc sulphate (0.5 %) and borox (0.2 %) viz., seed yield per plant (4.29 g), seed yield per plot (214.13 g) and seed yield per hectare (9.91q/ha). The germination percentage was found maximum from the treatment foliar application of zinc sulphate (0.5 %) (84.8%) and the other seed quality parameters was found best from the treatment foliar spray of ZnSO4 (0.5%) and B (0.2 %) i.e., higher shoot length (8.83 cm), root length (7.21 cm), seedling vigour index (1352) and test weight (3.75 g). The non-significant differences were observed due to influence of soil and foliar application of zinc and boron on electrical conductivity and seedling dry weight.

scholarly journals Yield and Quality Prediction of Winter Rapeseed—Artificial Neural Network and Random Forest Models

Agronomy ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 58
Author(s):  
Dragana Rajković ◽  
Ana Marjanović Jeromela ◽  
Lato Pezo ◽  
Biljana Lončar ◽  
Federica Zanetti ◽  
...  
Keyword(s):  
Random Forest ◽  
Protein Content ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Protein Yield ◽  
Yield Prediction ◽  
Yield And Quality ◽  
Winter Rapeseed ◽  
Artificial Neural

As one of the greatest agricultural challenges, yield prediction is an important issue for producers, stakeholders, and the global trade market. Most of the variation in yield is attributed to environmental factors such as climate conditions, soil type and cultivation practices. Artificial neural networks (ANNs) and random forest regression (RFR) are machine learning tools that are used unambiguously for crop yield prediction. There is limited research regarding the application of these mathematical models for the prediction of rapeseed yield and quality. A four-year study (2015–2018) was carried out in the Republic of Serbia with 40 winter rapeseed genotypes. The field trial was designed as a randomized complete block design in three replications. ANN, based on the Broyden–Fletcher–Goldfarb–Shanno iterative algorithm, and RFR models were used for prediction of seed yield, oil and protein yield, oil and protein content, and 1000 seed weight, based on the year of production and genotype. The best production year for rapeseed cultivation was 2016, when the highest seed and oil yield were achieved, 2994 kg/ha and 1402 kg/ha, respectively. The RFR model showed better prediction capabilities compared to the ANN model (the r2 values for prediction of output variables were 0.944, 0.935, 0.912, 0.886, 0.936 and 0.900, for oil and protein content, seed yield, 1000 seed weight, oil and protein yield, respectively).

scholarly journals Effect of Different Spacing on Yield and Yield Attributing Parameters of Red Cabbage (Brassica oleracea var. capitata f. rubra)

2021 ◽  
Vol 10 (11) ◽  
pp. 313-321
Author(s):  
Korsa Swetha Rani Anita Kerketta ◽  
Vijay Bahadur
Keyword(s):  
Block Design ◽  
Research Work ◽  
Growth Yield ◽  
Quality Parameters ◽  
Research Field ◽  
Planting Density ◽  
Cost Ratio ◽  
Red Cabbage ◽  
Benefit Cost Ratio ◽  
Yield And Quality

An experiment on Red Cabbage Genotypes planted in different planting densities was conducted during December, 2020 to February, 2021 in Research Field, Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (U.P.) India. The results of the present investigation, regarding the performance of six genotypes of Red Cabbage i.e. (CABRVAR - 1, CABRVAR - 2, CABRVAR – 3, CABRVAR – 4, CABRVAR – 5 and CABRVAR – 6) in two planting densities i.e. (60 x 45 cm and 60 x 60 cm) for plant growth, yield and quality of Red Cabbage, have been discussed and interpreted in the light of previous research work done in India and abroad. The experiment was conducted in 6x2 Factorial Randomized block design with 6 Genotypes of Red Cabbage obtained from different sources, were each genotype replicated thrice in different planting densities. From the present experimental findings it is found that the genotype G2 (CABRVAR - 2) followed by G4 (CABRVAR - 4) was found best in terms of growth, yield and quality parameters of Red Cabbage in planting density D2 (60 x 60 cm) was best in growth and quality parameters and Density D1 (60 x 45 cm) was best in yield parameters. In terms of economics maximum gross return, net return and benefit cost ratio was recorded was recorded in T3 (60 x 45 cm x CABRVAR - 2).

Effect of Integrated Nutrient Management on Yield and Quality of Garlic cv. Yamuna Safed-3

2020 ◽  
Vol 7 (04) ◽  
Author(s):  
A B Priyanshu ◽  
M K Singh ◽  
Mukesh Kumar ◽  
Vipin Kumar ◽  
Sunil Malik ◽  
...  
Keyword(s):  
Nutrient Management ◽  
Block Design ◽  
Quality Parameters ◽  
Organic Fertilizers ◽  
Research Centre ◽  
Yield And Quality ◽  
Randomized Block Design ◽  
The Impact ◽  
Horticultural Research

An experiment was conducted at Horticultural Research Centre, SVP University of Agriculture and Technology, Meerut (UP) during Rabi season of 2018-19 to assess the impact of different INM doses on yield and quality parameters of garlic. A total of ten treatments consisting of combinations of inorganic fertilizers, organic fertilizers and bio-fertilizers like T1- (Control), T2RDF (100:50:50 kg NPK ha-1), T3-RDF + 20 kg sulphur + FYM 20 ton ha-1, T4- RDF + 20 kg sulphur + VC 4 ton ha-1, T5- 75% RDF + 40 kg sulphur + 5 ton FYM ha-1+ PSB 5 kg ha-1, T6-75% RDF + 40 kg sulphur + 2 ton VC + Azotobacter 5 kg ha-1, T7- 75% RDF + 40 kg sulphur + FYM 3 ton + VC 1 ton+ PSB 5 kg + Azotobacter 5kg ha-1, T8- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg ha-1, T9- 50% RDF + 40 kg sulphur + FYM5 ton + VC 2 ton+ Azotobacter 5 kg ha-1and T10- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg + Azotobacter 5 kg ha-1 were used in Randomized Block Design and replicated thrice. Out of these an application of T7 (75% RDF + 40 kg sulphur + FYM3 ton + VC 1 ton ha-1 + PSB 5 kg + Azotobacter 5 kg ha-1) was found to be significantly superior in term of yield and attributing parameters of garlic.

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