Growth and Yield of Bt Cotton Influence by Land Configuration and Nutrient Levels Under Rainfed Situation

A field experiment was conducted at main agriculture research station, Raichur (Karnataka, India) during Kharif 2016 to enhance the yield of Bt cotton and improve the economy of farmers under the rainfed situation. The experiment was laid out in split plot design with three land configuration practices as main plots and four different combinations of an organic and inorganic source of nutrients as subplots replicated thrice. The results showed that, significantly higher seed cotton yield (2834 kg ha-1) were recorded with land configuration practice of Ridges and Furrow method in conjunction with application of 90:45:45 NPK kg ha-1 (50% N through organic) when compared to Broad Bed and Furrow method and Flat Bed methods and their respective combination with different source of nutrients. This trend was also reflected in dry matter accumulation in various plant parts (leaves, stem and reproductive organs). The combined effect of Ridges and Furrow method and application of 90:45:45 NPK kg ha-1 (50% N through organic) also resulted in recording higher gross (Rs.1,53,018 ha-1) and net returns (Rs.1,07,67 ha-1) when compared to other treatment combinations. Therefore it was concluded that, land configuration practice of Ridges and Furrow method in combination with the application of 90:45:45 NPK kg ha-1 (50% N through organic) was found to be the best option to realise higher seed cotton yield and more economical.

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Crop Geometry and Nitrogen Levels Influence on Growth, Yield and Economics of Compact Cotton (Gossypium hirsutum L.) in Rainfed Vertisols

International Journal of Plant & Soil Science ◽

10.9734/ijpss/2021/v33i2030627 ◽

2021 ◽

pp. 28-37

Author(s):

B. B. Nayak ◽

S. Bharathi ◽

M. Sree Rekha ◽

K. Jayalalitha

Keyword(s):

Growth And Yield ◽

Research Station ◽

Dry Matter Accumulation ◽

Cotton Yield ◽

Seed Cotton ◽

Area Index ◽

Seed Cotton Yield ◽

Nitrogen Levels ◽

Net Returns ◽

Crop Geometry

Aims: To study the effect of crop geometry and nitrogen levels on compact cotton genotype in rainfed vertisols condition. Study Design: The experiment was laid out in a randomized block design with a factorial concept with 3 levels of crop geometry and four levels of nitrogen with 12 treatment combinations and replicated thrice. Place and Duration of Study: A field experiment was conducted on vertisols under rainfed conditions at Regional Agricultural Research Station Lam, Guntur during the year 2018 – 2019. Methodology: The treatments consisted of three crop geometries S1 – 60 cm × 10 cm, S2- 75 cm × 10 cm, S3- 90 cm × 45 cm in combination with four nitrogen levels N1- 45kg N ha-1, N2- 90kg N ha-1, N3- 135 kg N ha-1, N4- 180 kg ha-1. Results: Closer crop geometry of 60 cm × 10 cm recorded taller plants and maximum dry matter accumulation, functional leaves per square meter, leaf area index, maximum chlorophyll content, number of bolls per square meter and seed cotton yield per ha-1, net returns and returns per rupee. However, the number of sympodial branches per plant and sympodial length was highest with wider crop geometry of 90 cm × 45 cm. All the growth and yield parameters recorded were maximum with the application of 180Kg N ha-1 than all the other levels of nitrogen tested. Conclusion: Overall, the results showed that the Crop geometry of 60cm × 10 cm with application of 135 kg N ha-1 was found to be optimum to realize of maximum seed cotton yield and net returns.

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Cotton phenology and production response to sowing time, row orientation and plant spacing using CROPGRO-cotton model

MAUSAM ◽

10.54302/mausam.v72i3.1312 ◽

2021 ◽

Vol 72 (3) ◽

pp. 627-634

Author(s):

ABHISHEK DHIR ◽

R. K. PAL ◽

P. K. KINGRA ◽

S. K. MISHRA ◽

S. S. SANDHU

Keyword(s):

Field Experiments ◽

Growth And Yield ◽

Yield Response ◽

Bt Cotton ◽

Plant Spacing ◽

Cotton Yield ◽

Seed Cotton ◽

Sowing Time ◽

Seed Cotton Yield ◽

East West

The DSSAT module for cotton crop has been evaluated as a tool to predict the crop growth and yield response to microclimatic modifications. In this context, multi-location field experiments were laid out at Bathinda and Faridkot, districts of Punjab during Kharif 2018 with Bt-cotton hybrid RCH 773 BGII and sown at three times, i.e., April 30, May 15 and May 30 with two row orientations (North-South : N-S and East-West : E-W) and three plant spacing’s (67.5 cm × 45.0 cm, 67.5 cm × 60.0 cm and 67.5 cm × 75.0 cm) in factorial split plot design and replicated by three times. The model output in terms of simulated phenology showed close proximity over observed value having R2 of 0.51 and 0.61 at Bathinda and 0.43 and 0.87 at Faridkot anthesis and maturity, respectively. Among study locations, observed and simulated LAI ranged from 2.7 to 3.7 and 1.8 to 3.0. Simulated seed cotton yield was found significantly higher with the crop sown on 30th April (3053 and 3274 kg ha-1) than 30th May sowing (2392 and 2511 kg ha-1) at Bathinda and Faridkot, respectively, which was in good agreement with observed yield having higher value of d-stat (0.84 for Bathinda and 0.89 for Faridkot) and R2 (0.75 for Bathinda and 0.83 for Faridkot). Moreover, higher seed cotton yield was simulated under East-West row direction along with wider plant spacing (67.5 × 75 cm) at both locations. Overall, CROPGRO-cotton model can be used as research tool for the prediction of cotton phenology and yield and to explore site-specific adoption strategies such as appropriate sowing time, row orientation and plant spacing to sustain cotton productivity under changing climatic conditions.

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Effects of foliar application of nutrients on growth and yield of Bt cotton (Gossypium hirsutum L.)

Bangladesh Journal of Botany ◽

10.3329/bjb.v44i1.22717 ◽

2015 ◽

Vol 44 (1) ◽

pp. 9-14

Author(s):

Kulvir Singh ◽

Pankaj Rathore ◽

RK Gumber

Keyword(s):

Field Experiments ◽

Foliar Application ◽

Growth And Yield ◽

Bt Cotton ◽

Cotton Yield ◽

Seed Cotton ◽

Gossypium Hirsutum L ◽

Pooled Data ◽

Net Returns ◽

Yield Parameters

Field experiments were conducted for three years during Kharif 2009-2011 to study the effect of foliar application of nutrients (N, Mg, Fe, Zn, Mn and B) on growth and yield parameters of Bt cotton. Pooled data indicated highest seed cotton yield (3421.4 kg/ha) with application of MgSO4 1.0%+ ZnSO4 0.5%. Better net returns ( 100760/ha) and improved B:C (4.06) ratio for MgSO4 1.0% + ZnSO4 0.5% clearly supported its application benefits to realize higher yield . DOI: http://dx.doi.org/10.3329/bjb.v44i1.22717 Bangladesh J. Bot. 44(1): 9-14, 2015 (March)

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Gene Action Studies in the Inheritance of Yield and Quality Attributing Traits in Diallel Cross of Cotton (Gossypium hirsutum L.)

Indian Journal of Pure & Applied Biosciences ◽

10.18782/2582-2845.8713 ◽

2021 ◽

Vol 9 (3) ◽

pp. 105-109

Author(s):

V. J. Zapadiya ◽

Keyword(s):

Plant Height ◽

Block Design ◽

F1 Hybrids ◽

Research Station ◽

Cotton Yield ◽

Seed Cotton ◽

Gene Effects ◽

Partial Dominance ◽

Seed Cotton Yield ◽

Genetic Components

A field experiment was conducted to evaluate the 45 F1 hybrids derived from 10×10 half diallel fashion along with ten parents and one standard check GN.Cot.Hy-14 were sown in randomized block design with three replications during kharif -2017 at Cotton Research Station, Junagadh Agricultural University, Junagadh. The genetic components of variation were determined for 12 characters viz., days to 50% flowering, days to 50% boll opening, plant height (cm), number of monopodia per plant, number of sympodia per plant, number of bolls per plant, boll weight (g), seed cotton yield per plant (g), ginning percentage (%), seed index (g), lint index (g) and oil percentage (%).The estimate of the components of variation revealed significant results for both additive (D) as well as dominance effects (H1 and H2) for all the characters except plant height non-significant H2 component, but in majority of traits (except plant height, lint index) H1 was higher than D indicating dominance components were important in the inheritance of seed cotton yield and its components. The average degree of dominance (H1/D)1/2 was found to be more than unity for all the traits (except plant height, number of monopodia per plant and lint index indicating partial dominance) indicating over dominance. Asymmetrical distribution of positive and negative genes in the parents was observed for all the traits. High estimates of heritability in narrow sense was observed for days to 50% flowering, days to 50 % boll bursting, number of monopodia per plant, ginning percentage (%), lint index (g) and oil content (%) suggesting that selection based on these attribute would lead to rapid improvement. Due to preponderance of non-additive gene effects of seed cotton yield per plant and most of its component traits, heterosis breeding would also be practically feasible in cotton.

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Early maturing Bt cotton requires more potassium fertilizer under water deficiency to augment seed-cotton yield but not lint quality

Scientific Reports ◽

10.1038/s41598-019-43563-2 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 4

Author(s):

Ahmad Naeem Shahzad ◽

Muhammad Rizwan ◽

Malik Ghulam Asghar ◽

Muhammad Kamran Qureshi ◽

Syed Asad Hussain Bukhari ◽

...

Keyword(s):

Bt Cotton ◽

Cotton Yield ◽

Water Deficiency ◽

Seed Cotton ◽

Potassium Fertilizer ◽

Seed Cotton Yield ◽

Early Maturing

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Evaluation of yield, yield components and incidence of CLCV disease through planting times and varietal interaction in cotton in the Multan region

International Journal of Cotton Research and Technology ◽

10.33865/ijcrt.001.01.0246 ◽

2019 ◽

Vol 1 (1) ◽

pp. 33

Author(s):

Salma Naimatullah

Keyword(s):

Plant Height ◽

Yield Components ◽

Bt Cotton ◽

Cotton Yield ◽

Seed Cotton ◽

Sowing Time ◽

Seed Cotton Yield ◽

Boll Weight

Five Bt cotton varieties were evaluated for five different parameters (plant height, number of bolls per plant, boll weight, seed cotton yield and CLCV incidence after 105 days of planting) under six different sowing times (01 March, 15 March, 01 April, 15 April, 01 May and 15 May) at CCRI, Multan during the year 2018.Results revealed highly significant differences among the varieties, sowing times and their interaction for all the traits under study. Regarding sowing times, highest yield (3676 kg/ha) was produced when the sowing was done on 01 March followed by March 15 sowing (3496 kg/ha) with 4.3 and 6.1 CLCuV incidence% respectively after 105 days of sowing.However, lowest yield of 2483 kg/ha was achieved through 15 May planting with 96.7% CLCuV incidence. Regarding varietal performance, CYTO-313 excelled all other varieties by producing 3356 kg/ha seed cotton yield followed by CIM-343 (3195 kg/ha) with CLCuV percent incidence of 53.1 and 50.9 respectively at 105 days of planting.It was concluded from the present investigations that first March sowing is the optimum sowing time with zero percent CLCuV incidence for Multan region. Furthermore, variety CYTO-313 should be given primacy on other four varieties when farmer is going to adopt first March sowing.

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Yield and some agronomic parameters of upland cotton as affected by planting dates

International Journal of Cotton Research and Technology ◽

10.33865/ijcrt.002.01.0357 ◽

2020 ◽

Vol 2 (1) ◽

pp. 37

Author(s):

Waqas Ahmed Lashari ◽

Salma Naimatullah ◽

Hamza Afzal

Keyword(s):

Plant Height ◽

Upland Cotton ◽

Planting Date ◽

Research Station ◽

Cotton Yield ◽

Seed Cotton ◽

Planting Dates ◽

Seed Cotton Yield ◽

Average Maximum ◽

Boll Weight

A field experiment was conducted at ICI Research Farm, Multan to evaluate the effect of different sowing dates on plant height, number of monopodia, number of sympodia, number of bolls per plant, boll weight, seed cotton yield kg/ha of two upland cotton varieties (ICI-2121 and ICI-2424) developed by ICI Pakistan Limited, Multan against a standard check variety IUB-2013 during 2019, and 2020 years. These varieties were planted on 1st April, 15th April, 1st May, 15th May, 1st June, and 15th June, at ICI Cotton Research Station, 19-Kasi Vehari Road, Multan. Results revealed that statistically highly significant differences in planting dates were observed for all the parameters studied except number of monopodial branches and boll weight which depicted non-significant differences. Regarding varieties and interaction between varieties and planting times, similar trend of statistical differences was observed. As regards to planting dates, generally, all the parameters under study showed their maximum performance when crop was planted on 1st May followed by 1st April planting date, whereas, minimum performance of the parameters was recorded when the crop was planted on 15th June followed by 1st June. Regarding varietal performance, on an average, maximum plant height (146cm) was observed in ICI-2121 followed by IUB-2013. Same trend of performance of varieties regarding number of monopodia and sympodia per plant was observed. Regarding average number of bolls per plant in different varieties, it was observed that ICI-2121 produced maximum (32 bolls) followed by ICI-2424 (31 bolls) and IUB-2013 (28 bolls) irrespective of planting dates. The same trend of varietal performance regarding boll weight was recorded. When seed cotton yield (kg/ha) was evaluated, on an average of varieties, ICI-2121 produced maximum seed cotton yield (1228 kg/ha) followed by ICI-2424 and IUB-2013 which produced 1147 and 1046 kg/ha seed cotton yield respectively irrespective of planting dates. It was concluded that under agro-climatic conditions of Multan, 1st May planting date was evaluated as optimum cotton sowing time. Before or after 1st May, this study does not recommend growing cotton in this particular zone. Among cotton varieties, ICI-2121 is recommended for sowing under this planting time being producing higher yields.

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An improved CROPR model for estimating cotton yield under soil aeration stress

Crop and Pasture Science ◽

10.1071/cp16426 ◽

2017 ◽

Vol 68 (4) ◽

pp. 366 ◽

Cited By ~ 6

Author(s):

Long Qian ◽

Xiu-Gui Wang ◽

Wen-Bing Luo ◽

Zhi-Ming Qi ◽

Huai-Wei Sun ◽

...

Keyword(s):

Mean Squared Error ◽

Accurate Estimation ◽

Dry Matter Accumulation ◽

Cotton Yield ◽

Seed Cotton ◽

Additive Structure ◽

Soil Aeration ◽

Seed Cotton Yield ◽

After Effect ◽

Water Table Management

Accurate estimation of crop yield under aeration stress is crucial for field water table management. In this study, the CROPR crop model was improved in two aspects: (i) a new aeration factor, which was related to a drainage index, was proposed and used to represent the condition of soil aeration; and (ii) a multiplicative structure, instead of the original additive structure, was used in the calculation of dry matter accumulation to include the after-effect of aeration stress. Four-year lysimeter experiments on cotton (Gossypium hirsutum L.) growth under aeration stress were conducted from 2008 to 2011 to calibrate and validate both the original and improved CROPR. The results indicated that the improved CROPR performed better than the original CROPR and was suitable for simulating cotton yield under aeration stress. In the calibration, with the improved CROPR, the root-mean-squared error (RMSE) of seed cotton yield was 832.84 kg ha–1 with a normalised value (NRMSE) of 15.87%, whereas with the original CROPR, the RMSE was 973.03 kg ha–1 with an NRMSE of 18.55%. In the validation, with the improved CROPR, the RMSE of seed cotton yield was 686.22 kg ha–1 with an NRMSE of 14.87%; with the original CROPR, the RMSE was 1019.02 kg ha–1 with an NRMSE of 22.08%.

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Growth Analysis of Cotton in Competition with Velvetleaf (Abutilon theophrasti)

Weed Technology ◽

10.1614/wt-d-15-00050.1 ◽

2016 ◽

Vol 30 (1) ◽

pp. 123-136 ◽

Cited By ~ 7

Author(s):

Xiaoyan Ma ◽

Jinyan Yang ◽

Hanwen Wu ◽

Weili Jiang ◽

Yajie Ma ◽

...

Keyword(s):

Field Experiments ◽

Fiber Quality ◽

Dry Weight ◽

Growth And Yield ◽

Effective Management ◽

Cotton Yield ◽

Seed Cotton ◽

Weed Density ◽

Seed Cotton Yield ◽

The Relationship

Field experiments were conducted in 2013 and 2014 to determine the influence of velvetleaf densities of 0, 0.125, 0.25, 0.5, 1, 2, 4, and 8 plants m−1of row on cotton growth and yield. The relationship between velvetleaf density and seed cotton yield was described by the hyperbolic decay regression model, which estimated that a density of 0.44 to 0.48 velvetleaf m−1of row would result in a seed cotton yield loss of 50%. Velvetleaf remained taller and thicker than cotton throughout the growing season. Both cotton height and stem diameter reduced with increasing velvetleaf density. Moreover, velvetleaf interference delayed cotton maturity, especially at velvetleaf densities of 1 to 8 plants m−1of row, and cotton boll number and weight, seed numbers per boll, and lint percentage were also reduced. Fiber quality was not influenced by weed density when analyzed over 2 yr; however, fiber length uniformity and micronaire were adversely affected in 2014. Velvetleaf intraspecific competition resulted in density-dependent effects on weed biomass, ranging from 97 to 204 g plant−1dry weight. Velvetleaf seed production per plant or per square meter was indicated by a logarithmic response. At a density of 1 plant m−1of cotton row, velvetleaf produced approximately 20,000 seeds m−2. The adverse impact of velvetleaf on cotton growth and development identified in this study have indicated the need for effective management of this species when the weed density is greater than 0.25 to 0.5 plant m−1of row and before the weed seed maturity.

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