Estimativa da área de folhas de cultivares antigas e modernas de soja por método não destrutivo

The objective of this study was to determine an empirical mathematic model for estimating leaf area of different soybean cultivars from leaf dimensions, with emphasis to modern and currently used soybean cultivars used in Rio Grande do Sul. A field experiment conducted at Santa Maria during three growing seasons (2010/2011, 2012/2013 e 2013/2014) and 13 soybean cultivars (NS 4823 RR, BMX Energia RR, Igra RA 518 RR, BMX Turbo RR, NA 5909 RG, TMG 7161 RR Inox, TEC 5936IPRO, IAS 5, BMX Potencia RR, Fepagro 36 RR, BRS 246 RR, Bragg e CD 219 RR) was used. Twenty leaves of each cultivar were used for calibrating the model and another 50 leaves were used for testing the predictive capacity of the model as independent data. The model is based on the length (L) and the greatest width (W) of the central foliole of trifoliolate leaf. The relationship between leaf area and the linear dimensions of the central foliole was fitted to a linear model for each cultivar as well as to a generalized model for all cultivars. The predictive capacity of the equations was evaluated with the statistics root mean square error, BIAS, modified index of agreement and coefficient r. The results indicate that the non destructive method, based on linear dimensions of the central foliole is appropriate for estimating the area of individual leaves in soybean and that the general equation LA = 2,0185.(L.W) can be used for several modern soybean cultivars.

[1]  J. Tsialtas,et al.  Application of linear models for estimation of leaf area in soybean [Glycine max (L.) Merr] , 2011, Photosynthetica.

[2]  Robert E. Davis,et al.  Statistics for the evaluation and comparison of models , 1985 .

[3]  Rodovia Br,et al.  Estimativa da área foliar do girassol por método não destrutivo , 2011 .

[4]  C. Willmott.  ON THE VALIDATION OF MODELS , 1981 .

[5]  Arno Bernardo Heldwein,et al.  Modelos de determinação não-destrutiva da área foliar em girassol , 2009 .

[6]  P. Heuberger,et al.  Calibration of process-oriented models , 1995 .

[7]  A. C. Filho,et al.  Área foliar de feijão-vagem (Phaseolus vulgaris L.) em função de dimensões foliares , 2012 .

[8]  G. Benin,et al.  Épocas de semeadura e desempenho agronômico de cultivares de soja , 2012 .

[9]  J. Specht,et al.  Artificial selection for determinate growth habit in soybean , 2010, Proceedings of the National Academy of Sciences.

[10]  J. Specht,et al.  Leaf area index simulation in soybean grown under near-optimal conditions , 2008 .

[11]  G. A. Buriol,et al.  Clima do estado do rio grande do sul segundo a classificação climática de köppen e thornthwaite , 2016 .

[12]  T. Bailey,et al.  Estimation of Leaflet, Trifoliolate, and Total Leaf Areas of Soybeans1 , 1975 .

[13]  Nereu Augusto Streck,et al.  Estimativa do plastocrono em cultivares de soja , 2008 .

[14]  Helio Garcia Leite,et al.  Um método para condução de inventários florestais sem o uso de equações volumétricas , 2002 .

[15]  M. Adami,et al.  Estimativa de área de folíolos de soja usando imagens digitais e dimensões foliares , 2008 .