Cotton Yield and Potassium Use Efficiency as Affected by Potassium Fertilizer Management with Stalks Returned to Field

Crop Science ◽  
2016 ◽  
Vol 56 (2) ◽  
pp. 740-746 ◽  
Author(s):  
Fuqiang Yang ◽  
Mingwei Du ◽  
Xiaoli Tian ◽  
A. Egrinya Eneji ◽  
Zhaohu Li
Author(s):  
Carlos N. V. Fernandes ◽  
Benito M. de Azevedo ◽  
Débora C. Camargo ◽  
Chrislene N. Dias ◽  
Mario de O. Rebouças Neto ◽  
...  

ABSTRACT Aiming to evaluate the effect of potassium (K) doses applied by the conventional method and fertigation in zucchini (Cucurbita pepo L.), a field experiment was conducted in Fortaleza, CE, Brazil. The statistical design was a randomized block, with four replicates, in a 4 x 2 factorial scheme, which corresponded to four doses of K (0, 75, 150 and 300 kg K2O ha-1) and two fertilization methods (conventional and fertigation). The analyzed variables were: fruit mass (FM), number of fruits (NF), fruit length (FL), fruit diameter (FD), pulp thickness (PT), soluble solids (SS), yield (Y), water use efficiency (WUE) and potassium use efficiency (KUE), besides an economic analysis using the net present value (NPV), internal rate of return (IRR) and payback period (PP). K doses influenced FM, FD, PT and Y, which increased linearly, with the highest value estimated at 36,828 kg ha-1 for the highest K dose (300 kg K2O ha-1). This dose was also responsible for the largest WUE, 92 kg ha-1 mm-1. KUE showed quadratic behavior and the dose of 174 kg K2O ha-1 led to its maximum value (87.41 kg ha-1 (kg K2O ha-1)-1). All treatments were economically viable, and the most profitable months were May, April, December and November.


2022 ◽  
Vol 175 ◽  
pp. 114244
Author(s):  
Kai Wei ◽  
Jihong Zhang ◽  
Quanjiu Wang ◽  
Yi Guo ◽  
Weiyi Mu

2014 ◽  
Vol 9 (4) ◽  
pp. 455-464 ◽  
Author(s):  
Ramos Guelfi Silva Douglas ◽  
Roberto Spehar Carlos ◽  
Marchi Giuliano ◽  
de Arajo Soares Danilo ◽  
Lopes Cancellier Eduardo ◽  
...  

1981 ◽  
Vol 61 (3) ◽  
pp. 507-516
Author(s):  
GANYIR LOMBIN

Potassium fertilizer requirement of rain-fed cotton was evaluated in a 3-yr field study conducted at three locations using four rates (0, 25, 50 and 75 kg∙ha−1)of K. Significant response was not obtained above 25 kg∙ha−1 applied K. Quadratic polynomials, using leaf K, exch. K, exch. (Ca + Mg)/K and applied K as independent variables, were fitted to the seed-cotton yield. As a single parameter, leaf K emerged the best predictor of yield with a coefficient of multiple determination (R2) of 86% and a corresponding regression equation of: Y (yield) = 3099.2 + 6031.6%K − 1643.3 (%K)2, followed by fertilizer K with a coefficient of multiple determination of 81% and a yield equation of: Y = 1302.3 + 53.96 app. K − 0.54 (app. K)2. Soil exch. K and (Ca + Mg)/K ratio were slightly less efficient in predicting yield giving R2 values of 0.62 and 0.76, respectively, when both the linear and quadratic terms were entered into their respective yield equations. When all the 12 possible entries (linear, and second-order terms and their square root transformations) were fed into the computer and regressed over cotton yield using a step-wise regression procedure, only two variables, leaf %K and (Ca + Mg)/K, significantly fitted the yield equation giving a predictive value of 87%. But the improvement in the precision of yield predictability as measured by the R2 value was only marginal and would not justify recommending the equation considering the extra laboratory work that will be needed to obtain the relevant variables. Critical values of 1.84% in index leaf, 0.19 meq/100 g exch. K and 50 kg∙ha−1 applied K were approximated for a maximum predicted yield range of 2440–2700 kg∙ha−1.


2011 ◽  
Vol 42 (2) ◽  
pp. 132-143 ◽  
Author(s):  
Ying Xia ◽  
Cuncang Jiang ◽  
Fang Chen ◽  
Jianwei Lu ◽  
Yunhua Wang

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