scholarly journals Soybean Yield Responses to Micronutrient Fertilizers

10.5772/67157 ◽  
2017 ◽  
Author(s):  
Julian Junio de Jesús Lacerda ◽  
Liliane Oliveira Lopes ◽  
Tiago Pieta Rambo ◽  
Géssica Marafon ◽  
Adriano de Oliveira Silva ◽  
...  
Keyword(s):  
Soybean Yield ◽  
Yield Responses

scholarly journals Effect of Septoria brown spot on soybean yield in Illinois

2019 ◽  
Author(s):  
Heng-An Lin ◽  
María B. Villamil ◽  
Santiago X. Mideros
Keyword(s):  
Disease Severity ◽  
Critical Factor ◽  
Brown Spot ◽  
Linear Predictor ◽  
Soybean Yield ◽  
Best Linear Predictor ◽  
Effect On Yield ◽  
Yield Responses ◽  
Production Areas ◽  
Different Levels

AbstractBrown spot caused by Septoria glycines is a prevalent foliar disease in all soybean production areas. Application of foliar fungicides after bloom reduces the disease severity, yet yield responses are not consistent among locations and years. Our research goal was to determine the effect of different levels of Septoria brown spot on yield. Different levels of disease severity were effectively obtained in the field by weekly application of chlorothalonil for three, six, and nine times after disease inoculation at V3/V4 stage. Fungicide treatments had a significant effect on vertical progress and chlorotic area with no statistically significant effect on yield. Soybean yield was negatively correlated with vertical progress of the disease (r = −0.36). The vertical progress was the best linear predictor of yield. Based on this model, when the vertical progress of brown spot at R6 increased by 10%, the yield decreased by 142.13 kg/ha (3.4%). A variance component analyses of our data showed that location was the most critical factor, illustrating the significant effect of local environmental conditions on the disease. Power analyses indicated that at least eight locations are needed to detect an effect of 269 kg/ha. Our results provide useful information to improve the experimental design for future experiments addressing the yield constrain by late season diseases of soybean.

scholarly journals CROPGRO-Soybean Model Calibration and Assessment of Soybean Yield Responses to Climate Change

2020 ◽  
Vol 09 (03) ◽  
pp. 297-316
Author(s):  
Joseph E. Quansah ◽  
Pauline Welikhe ◽  
Gamal El Afandi ◽  
Souleymane Fall ◽  
Desmond Mortley ◽  
...  
Keyword(s):  
Climate Change ◽  
Model Calibration ◽  
Soybean Yield ◽  
Yield Responses

Corn and soybean yield responses to micronutrients fertilization

2014 ◽  
Author(s):  
Antonio P. Mallarino ◽  
Joshua T. Enderson ◽  
Mazhar U. Haq
Keyword(s):  
Soybean Yield ◽  
Yield Responses

scholarly journals Modelling soybean yield responses to seeding date under projected climate change scenarios

2017 ◽  
Author(s):  
Qi Jing ◽  
Ted Huffman ◽  
Jiali Shang ◽  
Jiangui Liu ◽  
Elizabeth Pattey ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Scenarios ◽  
Soybean Yield ◽  
Seeding Date ◽  
Yield Responses

When Do Foliar Pyraclostrobin Fungicide Applications Produce Profitable Soybean Yield Responses?

2013 ◽  
Vol 14 (1) ◽  
pp. 6 ◽  
Author(s):  
Peter M. Kyveryga ◽  
Tracy M. Blackmer ◽  
Daren S. Mueller
Keyword(s):  
Foliar Application ◽  
Aerial Imagery ◽  
Site Specific ◽  
Soybean Yield ◽  
Late Season ◽  
Plant Maturity ◽  
Soybean Canopy ◽  
Yield Responses ◽  
Foliar Fungicide ◽  
On Farm

From 2005 through 2009, 282 on-farm evaluation trials were conducted in soybean fields across Iowa to identify when a foliar application of pyraclostrobin produced profitable yield responses. Because of a delay in plant maturity, 218 trials exhibited a fungicide-induced “greening effect” documented using the late-season color infrared (CIR) digital aerial imagery of the soybean canopy. These 218 trials were approximately 35% more likely to produce profitable yield responses (65% vs 30%) than those without “the greening effect.” In addition, greater yield responses were observed in trials that received more than 12 inches of cumulative March through May rainfall. Potentially, site-specific observations of spring rainfall could be used to identify fields that are or are not likely to produce above break-even yield responses, and therefore, help farmers avoid unnecessary foliar fungicide applications on soybean. Accepted for publication 30 July 2013. Published 28 September 2013.

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