Relations between zero-inflated variables in trials with horticultural crops

• Lúcio, Alessandro D. ^[1] ; Nunes, Luis F. ^[2] ; Rego, Francisco ^[3] ; Pasini, Maurício P. B. ^[4]
  1. [1] Universidade Federal de Santa Maria

     Universidade Federal de Santa Maria

     Brasil

     
  2. [2] Instituto Politécnico de Bragança

     Instituto Politécnico de Bragança

     Bragança (Sé), Portugal

     
  3. [3] Universidade de Lisboa

     Universidade de Lisboa

     Socorro, Portugal

     
  4. [4] Universidade de Cruz Alta

     Universidade de Cruz Alta

     Brasil

     

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• Localización: Spanish journal of agricultural research, ISSN-e 2171-9292, ISSN 1695-971X, Vol. 14, Nº. 2, 2016
• Idioma: inglés
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• Resumen

  • Certain characteristics of some vegetable crops allow multiple harvests during the production cycle; however, to our knowledge, no study has described the behavior of fruit production with progression of the production cycle in vegetable crops with multiple harvests that present data overdispersion. We aimed to characterize the data overdispersion of zero-inflated variables and identify the behavior of these variables during the production cycle of several vegetable crops with multiple harvests. Data from 11 uniformity trials were used without applying treatments; these comprise the database from the Experimental Plants Group at the Federal University of Santa Maria, Brazil. The trials were conducted using four horticultural species grown during different cultivation seasons, cultivation environments, and experimental structures. Although at each harvest, a larger number of basic units with harvest fruit was observed than units without harvest fruit, the basic unit percentage without fruit was high, generating an overdispersion within each individual harvest. The variability within each harvest was high and increased with the evolution of the production cycle of Capsicum annuum, Solanum lycopersicum var. cerasiforme, Phaseolus vulgaris, and Cucurbita pepo species. However, the correlation coefficient between the mean weight and number of harvest fruits tended to remain constant during the crop production cycle. These behaviors show that harvest management should be done individually, at each harvest, such that data overdispersion is reduced.