Crop development of feijoa (Acca sellowiana (O. Berg) Burret) is mainly stimulated by temperature, but is also affected by other climatic factors. The determination of the development in terms of thermal time or growing degree days (GDD) is more precise than calendar days. The aim of this study was to propose a phenological model for feijoa cv. Quimba, in which the base temperature (Tb) for four different phenological stages and its duration in terms of GDD is estimated to predict the timing of anthesis, fruit setting and harvesting. During the years 2012 to 2014, in two localities of the department of Cundinamarca, Colombia, twenty trees per farm were labeled, dates of occurrence of phenological stages, starting from floral button were rec...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
This work develops a methodology (using the degree-days concept and linear regression), to forecast ...
Crop development of feijoa (Acca sellowiana (O. Berg) Burret) is mainly stimulated by temperature, b...
The growth of the pineapple guava fruit is primarily stimulated by temperature but is also influence...
The growth of the pineapple guava fruit is primarily stimulated by temperature but is also influence...
In recent years, the avocado has been one of the most dynamic fruits in the world market. In particu...
ABSTRACT Weather conditions influence the quality parameters of pineapple guava fruit during growth ...
Feijoa is a fruit tree with great potential for human consumption, cultivated between 1,800 and 2,70...
Thermal time models express the temperature dependence of plant or organ development and are mostly ...
The availability of prediction models provides an opportunity to forecast important event...
This work develops a methodology (using the degree-days concept and linear regression), to forecast ...
The objective of this work was to analyze the growth of champa fruit (Campomanesia lineatifolia) as ...
Predicting the harvest date is important for growers to manage farm systems, and for the other stake...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
This work develops a methodology (using the degree-days concept and linear regression), to forecast ...
Crop development of feijoa (Acca sellowiana (O. Berg) Burret) is mainly stimulated by temperature, b...
The growth of the pineapple guava fruit is primarily stimulated by temperature but is also influence...
The growth of the pineapple guava fruit is primarily stimulated by temperature but is also influence...
In recent years, the avocado has been one of the most dynamic fruits in the world market. In particu...
ABSTRACT Weather conditions influence the quality parameters of pineapple guava fruit during growth ...
Feijoa is a fruit tree with great potential for human consumption, cultivated between 1,800 and 2,70...
Thermal time models express the temperature dependence of plant or organ development and are mostly ...
The availability of prediction models provides an opportunity to forecast important event...
This work develops a methodology (using the degree-days concept and linear regression), to forecast ...
The objective of this work was to analyze the growth of champa fruit (Campomanesia lineatifolia) as ...
Predicting the harvest date is important for growers to manage farm systems, and for the other stake...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
International audiencePredicting the harvest date is important for growers to manage farm systems, a...
This work develops a methodology (using the degree-days concept and linear regression), to forecast ...