SOYBEAN YIELD ESTIMATION MODELS BASED ON BIOMETRIC PARAMETERS

Andreea Lidia Jurjescu, Klaudia Kincel, Marinel Nicolae Horablaga, Florin Sala

Abstract


The study analyzed the yield of the soybean crop to describe the yield variation in relation to biometric parameters. The Iris soybean variety was cultivated within ARDS Lovrin, in a non-irrigated system. The biometric parameters of soybean pods (PL - pod length, cm; Pwdt - pod width, cm; PsW – pod shells weight, g; GW - grain weight, g; PW - pod weight, g) and yield (Y, kg ha-1) were determined. The series of values of the biometric parameters showed a normal distribution, with r >0.900. The regression analysis led to models in the form of equations and graphic models (3D, isoquants), which described with statistical certainty the yield variation in relation to the considered biometric parameters. The calculated RMSEP parameter confirmed that yield estimation based on PL and Pwdt parameters was possible under high safety conditions in the study conditions (RMSEP = 492.113 kg ha-1). In the case of the other biometric parameters, the prediction reliability was confirmed at the level of RMSEP = 568.445 kg ha-1 (PW, and GW), respectively RMSEP = 568.022 kg ha-1 (PW, and PsW).

Keywords


models; productivity elements; regression analysis; soybean; yield.

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References


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LUCRĂRI ȘTIINȚIFICE MANAGEMENT AGRICOL

ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)

PUBLISHER: AGROPRINT Timisoara, Romania
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