Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina

Q4 Agricultural and Biological Sciences

AgriScientia Pub Date : 2019-12-24 DOI:10.31047/1668.298x.v36.n2.24310

Javier Eduardo Frassoni, M. Joseau

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引用次数: 1

Abstract

The main objective of this work was to develop a height estimation method of Prosopis alba based on the diameter at breast height (DBH) of populations with superior characteristics selected through a progeny trial located in the INTA Experimental Agricultural Station, Province of Santiago del Estero, Argentina. The progeny trial was established in 2008 and consists of 3,671 individuals (202 families). The registered variables were DBH and total height (TH) of 123 individuals, taken at random from the three blocks that make up the trial. Linear regressions were performed to develop the model that best fits height estimation with all the sampled individuals (AI model) and, also using the data of 7 individuals - the three trees of greater diameter, the three of smaller diameter and an individual of intermediate diameter-, called the reduced height estimation model (RHEM model). AI model and RHEM model were satisfactory to estimate height of the trees based on their DBH in the trial of progenies in Santiago del Estero. However, the RHEM model offers an important saving of time and effort, simplifying the field activity.

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基于在阿根廷圣地亚哥德尔埃斯特罗进行的一项后代试验中选择的Prosopis alba Grisebah种群的乳高直径，开发了一种高度估计方法

这项工作的主要目的是根据在阿根廷圣地亚哥-德尔埃斯特罗省INTA实验农业站进行的后代试验中选择的具有优良特性的种群的乳高直径（DBH），开发一种白腹蛛的高度估计方法。该子代试验建立于2008年，由3671个个体（202个家族）组成。登记的变量是123个人的DBH和总身高（TH），从组成试验的三个区块中随机抽取。进行了线性回归，以开发出最适合所有采样个体高度估计的模型（AI模型），并使用7个个体的数据——三棵直径较大的树、三棵直径较小的树和一棵直径中等的树——称为减少高度估计模型（RHEM模型）。在Santiago del Estero的后代试验中，AI模型和RHEM模型能够令人满意地根据树木的DBH来估计树木的高度。但是，RHEM模型大大节省了时间和精力，简化了现场活动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

AgriScientia Agricultural and Biological Sciences-Agronomy and Crop Science

CiteScore

0.30

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： AgriScientia es una revista de acceso abierto, de carácter científico-académico, gestionada por el Área de Difusión Científica de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba, Argentina. La revista recibe artículos en los idiomas español e inglés. El objetivo de esta publicación es la difusión de los resultados de investigaciones de carácter agronómico. Está destinada a investigadores, estudiantes de pregrado, grado y posgrado, profesionales en el área de las ciencias agropecuarias y público en general interesado en las temáticas relacionadas. Su periodicidad es semestral. Los artículos se reciben durante todo el año. Los tipos de documentos que se publican son artículos científicos, comunicaciones y revisiones.