AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
Abstract
The maximum yield (Ym') of sunflower obtained on basis of efective temperature and on the photosyntheticaly active solar radiation absorved accumulted (PARaa) and that based on the highest sunflower yield reached in 53 environments of the State of Rio Grande do Sul, were penalized in function of the relative water consumption or crop specific dryness index (CSDI), according to the Jenssen multiplicative model. The results show that the adjusted and validated model, based on the relative water consumption in the reproductive subperiod, explain about 80 % of the variation in the sunflower yield in Rio Grande do Sul. The model showed good perpormance in the yield prediction (r = 0.926; b = 0.993). The sunflower grain yield may be predicted with four weelcs bef ore the harvest time, using the multiplicative model in which the Ym he the maximum yield estimated in function of the PARaa (Ym').
Downloads
The authors declare that the work has not been previously published, nor sent simultaneously for publication in another journal and that they agree with the submission, content and transfer of the publication rights of the article in question to the scientific journal Pesquisa Agropecuária Gaúcha - PAG. The authors assume full responsibility for the originality of the article, and may incur on them any charges arising from claims by third parties in relation to the authorship of the article. The full reproduction of the journal's articles in other free-to-use electronic media is permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.
