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Copyright of Revista Ciencia y Tecnología Agropecuaria is the property of Agrosavia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Various edaphoclimatic factors influence mango productivity (dendrometry, flowering and fruiting). The objective of the study was to analyze the edaphoclimatic factors that influence the productivity of 3 mango varieties (Keitt, Ataúlfo and Manila) in the Papaloapan Basin in Veracruz, Mexico. Dendrometric measurements were carried out on trees of 3 mango varieties in 15 orchards (n = 5 orchards per variety) and the values of 33 edaphoclimatic variables were acquired using geographic information systems; a comparison analysis was carried out with the dendrometric and edaphoclimatic variables. The Manila variety stood out in dendrometric terms as a response to ideal edaphoclimatic conditions for its physiological development. However, the 3 varieties are developed under unique edaphoclimatic values to which they are already adapted, with Keitt and Manila having the highest productivity. [ABSTRACT FROM AUTHOR]

Copyright of Investigacion y Amazonia is the property of Investigacion y Amazonia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The main aim of this research study is to assess the effect of plant spacing on vegetative development and crown morphometry of Bertholletia excelsa Bonpl. (Brazil nut) in the Peruvian Amazon. Two 16-year-old plantations with different initial spacings are examined by measuring the dasometric variables of 474 B. excelsa trees to calculate five morphometric crown indices. The results show that the highest vegetative development is found in trees with the smallest initial spacing. Diameter and height are negatively correlated with slenderness rate and salience index while coverage index and crown shape have a negative correlation with diameter. Tree development and crown morphometry of B. excelsa are significantly affected by initial spacing. In conclusion, plant spacing is an important parameter for establishing and managing B. excelsa plantations in the Peruvian Amazon. [ABSTRACT FROM AUTHOR]

The sustainable agriculture of forest plantations demands the permanent monitoring of the quantity of processed wood, thus becoming difficult to monitor large planted areas by using only manual procedures. Therefore, in this research artificial neural networks (RNA) of multilayer perceptrons, were modeled to estimate the spatial of wood volume in a Eucalyptus-sp plantation located in the state of Mato Grosso del Sur in the Central-West region of Brazil. As input variables in the RNA spectral bands, the textures of the bands obtained with Gray Level Co-occurrence Matrices and vegetation index were used, which were derived from digital satellite image Spot 6. The resulting RNA with the best performance presented accuracy of 93.32% and coefficient of determination of 0.9761. However, this network presented a mean square error of 16.32% (RMSE de 7.85 m³ha-1), but with a unbiased distribution of the residuals. So, the model showed to be suitable to monitor the amount of wood in large areas without overestimating or underestimating the prediction. Compared with different machine learning methods using the same variables, the built network seems to have a higher precision and accuracy. Even in the neuronal models using only spectral bands and vegetation indexes, a better performance was evidenced, showing that the textures contribute in the improvement of predictions. [ABSTRACT FROM AUTHOR]

The Sierra Norte of Puebla has commercially potential agroforestry resources but poor planning. The objective was to determine dasometric variables and conditions of the forest land proposing sustainable agroforestry management practices. Systematic sampling was used. The results show a predominance of Quercus sp. and Pinus pseudostrobus. There are combinations of 78 pine trees/ha and 275 oak trees/ha, basal area from 9.30 m²/ha for pine, oak m²/ha 10.67, average height of 18.16 m and 10.07 m, respectively; pine volume is 54.60 m³/ha and 29.04 m³/ha oak. It had three areas: production, restoration and conservation. [ABSTRACT FROM AUTHOR]