The effects of nitrogen, phosphorus, and potassium levels on the yield and fiber quality of cotton cultivars

Echer, Fábio Rafael; Cordeiro, Carlos Felipe dos Santos; Torre, Elio de Jesús Rodríguez de la

doi:10.1080/01904167.2019.1702204

Cited by 25 publications

(12 citation statements)

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“…Furthermore, it linearly reduces fiber lengths, micronaire values, and yields. In contrast, Emara et al (2015) revealed that fiber properties did not affect by the high NPK fertilizer level and Echer et al (2019) found that applying 50% of the recommended fertilization dose recorded higher values of micronaire in 92% of the evaluated cultivars. Some cultivars did not tolerate the reduction of fertilization.…”

Section: -Fiber Quality Traits: A-effect Of Npk Ratesmentioning

confidence: 89%

“…So, the modern high yielding varieties change the concept of requirement of nutrients of cotton. So, the new varieties of cotton had highly response to NPK fertilizer, where by increasing these nutrients increased yield and its components of cotton, Hamoda et al (2014) reported that the yield increased with increasing rates of NPK applied, Elhamamsey et al (2016) found that among fertilization rates, maximum bolls number plant -1 , boll weight and yield fed -1 were recorded with using high fertilizer rates, El Sayed (2016) found that adding 100% kg NPK fed -1 (the recommended dose) significantly increased open bolls number plant -1 and yield of seed cotton plant -1 as compared to 75 and 125 % kg NPK fedin both seasons and Echer et al (2019) found that reduced the fertilization by 50% of the recommended dose showed decreased yield by a 42%.. Table 7. Effect of NPK rates, vermicompost extract levels and their interaction on seed cotton yield and yield contributory characters in 2018 season.…”

Section: -Seed Cotton Yield and Yield Contributory Characters: A-effmentioning

confidence: 99%

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Using Vermicompost as a Complementary to Mineral Fertilization in Cotton

El-Sayed

All

2020

Journal of Plant Production

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Two field experiments were carried out at the Research Farm of El-Gemmeiza Agric. Res. Station, El-Gharbia Governorate during 2018 and 2019 seasons, to study the effect of four NPK fertilizer rates (the recommended NPK rate (100%) serving as a control, 75%, 50% and 25% of the recommended NPK rate), foliar spraying with vermicompost extract at three levels (0, 5 cm 3 /L and 7.5 cm 3 /L) at three times (at 30, 45 and 60 days from sowing) and their interaction. The experimental design was a strip plot with four replicates in both seasons. The important results indicated that increasing NPK rate from 25% to 100% significantly increased leaves chemical composition and resulted in a significant increase in growth traits, earliness traits, yield and its components in both seasons and significantly increased fiber length and strength in one season. Fiber uniformity and fineness did not affect.Foliar application with 7.5 cm 3 /L vermicompost extract significantly increased leaves chemical composition and recorded a significant increase in growth traits, earliness traits, yield and its components in both seasons, except number of total flowers plant-1 and fiber strength which significantly increased in one season. Fiber length, uniformity index and fineness did not affect in both seasons.Regarding the interaction effect, data show that the best results were obtained from the high level of vermicompost extract (7.5 cm 3 /L) combined with 100% NPK. It could be concluded this combination under El-Gemmeiza condition, to increase cotton productivity through soil fertility especially in vigor's cultivar like Giza 86.

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Section: -Fiber Quality Traits: A-effect Of Npk Ratesmentioning

confidence: 89%

Section: -Seed Cotton Yield and Yield Contributory Characters: A-effmentioning

confidence: 99%

Using Vermicompost as a Complementary to Mineral Fertilization in Cotton

El-Sayed

All

2020

Journal of Plant Production

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“…Em relação aos nutrientes foliares influenciaram na qualidade da fibra de algodão (Figura 2; Tabelas 2 e 3), em consonância com estudo. A fertilidade do solo repercute os teores de nutrientes foliares, que tanto podem melhorar a qualidade da fibra de algodão (Sawan et al, 2008;Chen et al, 2016;Win et al, 2017;Guo et al, 2017;Ahmad et al, 2018;El-Gedwy, 2018;Afzal et al, 2019), como podem não afetar a qualidade da fibra de algodão (Sawan et al,1993;Dordas, 2009;Temiz et al, 2009;Kurt & Temiz, 2016;Karademir & Karademir, 2019), e, ainda, apresentar piora a qualidade da fibra de algodão (Sawan et al, 2008;Seçer et al, 2016;Echer et al, 2020).…”

Section: Discussionunclassified

“…Várias pesquisas concluíram que atributos físico do solo influenciam na produção de fibra, rendimento de fibra e produção de algodão em caroço, (Galbieri & Belot, 2016;Barbosa & Asmus, 2019;Neto, 2019), textura (Holguin et al, 2015;Kumar et al, 2017;Kim et al, 2017), porosidade total, macroporosidade e microporosidade (Stolf et al, 2011;Cardoso et al, 2015;Ortiz et al, 2017), por sua vez a ausência dos atributos físicos do solo, alteram a absorção de nutrientes pelo algodoeiro (Hurchanik et al, 2003;Verma & Jain, 2006;Jagadeesh & Gaur, 2014;Jagadeesh & Gaur, 2014). Também, os nutrientes foliares afetam a fibra, na produção (Tsialtas et al, 2016;Haliloglu, 2019); no rendimento (Eleyan et al, 2014) e na qualidade (Afzal et al, 2019;Karademir & Karademir, 2019;Echer et al, 2020). Entretanto, é preciso estudo de relações entre os atributos físicos do solo para determinar a influência dessa relação na qualidade da produção da fibra, rendimento de fibra e produção de algodão em caroço, através dos teores nutricionais do algodoeiro.…”

Section: Introductionunclassified

Influência dos atributos físicos do solo na produção e qualidade do algodão em caroço e fibra

Ramos

Ferreira

Silveira

et al. 2021

RSD

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A produção de algodão representa uma importante cultura agrícola do Brasil. Portanto se faz necessário estudos que relacionam atributos físicos do solo com produção de fibra e produção de algodão em caroço. Sendo assim, este trabalho teve como objetivo determinar a influência dos atributos físicos do solo: argila, areia, silte, microporosidade, macroporosidade, porosidade total e densidade, na forma colhida do algodão. Realizamos análise de correlação canônica, utilizando os dados amostrais obtidos de 193 amostras de solo, coletadas em 100 talhões com 13 cultivares de algodão, entre 63 e 136 dias após a emergência, distribuídos em 3 regiões do estado de Mato Grosso, em altitudes de 402 a 885m. A análise de correlação canônica explicou 82,99% da variação dos dados amostrais. Os atributos físicos do solo influenciaram na produção do algodoeiro, no rendimento de fibra e na produção de algodão em caroço, nesta ordem: (Silte = Microporosidade) > (Argila = Macroporosidade = Areia) >> microporosidade, porosidade Total > Densidade. Os atributos densidade, porosidade total e macroporosidade não afetaram na produção de fibra, respectivamente. Neste sentido os atributos físicos do solo alteram a qualidade da fibra.

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“…Optimal management of nitrogen (N) fertilizer is important to in the improvement of cotton yield and quality [ 1 ], as well as in the reduction of waste and environmental problems associated with excess N fertilizer input [ 2 ]. A reasonable amount of N fertilizer is conducive for the balance between vegetative growth in cotton, and promotion of N absorption as well as utilization [ 3 , 4 ]. The N fertilizer is generally stored and assimilated by cotton plants in the form of nitrate nitrogen (NO 3 − –N).…”

Section: Introductionmentioning

confidence: 99%

Estimation of nitrate nitrogen content in cotton petioles under drip irrigation based on wavelet neural network approach using spectral indices

Dong

Liu

et al. 2021

Plant Methods

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Background Estimation of nitrate nitrogen (NO3−–N) content in petioles is one of the key approaches for monitoring nitrogen (N) nutrition in crops. Rapid, non-destructive, and accurate evaluation of NO3−–N contents in cotton petioles under drip irrigation is of great significance. Methods In this study, we discussed the use of hyperspectral data to estimate NO3−–N contents in cotton petioles under drip irrigation at different N treatments and growth stages. The correlations among trilateral parameters and six vegetation indices and petiole NO3−–N contents were first investigated, after which a traditional regression model for petioles NO3−–N content was established. A wavelet neural network (WNN) model for estimating petiole NO3−–N content was also established. In addition, the performance of WNN was compared to those of random forest (RF), radial basis function neural network (RBF) and back propagation neural network (BP). Results Between the blue edge amplitude (Db) and blue edge area (SDb) of the blue edge parameters was the optimal index for the estimation model of petiole NO3−–N content. We found that the prediction results of the blue edge parameters and WNN were 7.3% higher than the coefficient of determination (R2) of the first derivative vegetation index and WNN. Root mean square error (RMSE) and mean absolute error (MAE) were 25.2% and 30.9% lower than first derivative vegetation, respectively, and the performance was better than that of RF, RBF and BP. Conclusions An inexpensive approach consisting of the WNN algorithm and blue edge parameters can be used to enhance the accuracy of NO3−–N content estimation in cotton petioles under drip irrigation.

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The effects of nitrogen, phosphorus, and potassium levels on the yield and fiber quality of cotton cultivars

Cited by 25 publications

References 23 publications

Using Vermicompost as a Complementary to Mineral Fertilization in Cotton

Using Vermicompost as a Complementary to Mineral Fertilization in Cotton

Influência dos atributos físicos do solo na produção e qualidade do algodão em caroço e fibra

Estimation of nitrate nitrogen content in cotton petioles under drip irrigation based on wavelet neural network approach using spectral indices

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