Relación de la productividad en fincas bananeras con el perfil de los racimos en Urabá-Antioquia

IF 0.1 Q4 AGRONOMY Temas Agrarios Pub Date : 2023-12-22 DOI:10.21897/3v72g961
Miguel Ángel Bernal-Monterrosa, Laura Delgado-Bejarano, Ever José Causil Pastrana, Luís Javier Algarín Guerra
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Abstract

The development and production of bananas are influenced by spatio-temporal edaphoclimatic conditions, which explains in a certain way the heterogeneous response that occurs on the farms, highlighting the need to generate information regarding the morphological characteristics of fruit for taking corrective actions that entail to increased productivity. The objective of this research was to carry out an analysis of production, taking into account the quantifiable variables through bunches profiling. 98,956 bunches recorded in a period of 108 weeks between 2021 and 2022 were analyzed in ten farms of two banana groups in Urabá-Antioquia, in the municipalities of Turbo, Apartadó and Carepa. Variables such as: cluster age, cluster weight, number of hands, basal-apical calibration, basal-apical length, removal of fingers and hands in the field. The R 4.2.1 software was used, with which a Spearman correlation, analysis of variance (ANOVA) was obtained and for comparison of means, a Kruskal post-hoc was done. Statistical differences were identified (p-value<2.2e-16) and the highest correlations were between age-weight (0.24), age-basal calibration (0.23) and number of hands-weight (0.45). These results indicate that harvest profiling is a practical and agile method that allows quantifying morphological variables of the bunches, making yield projections and adjusting agronomic management depending on the specifications of the marketer.
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乌拉瓦-安蒂奥基亚省香蕉农场的生产率与香蕉果串特征之间的关系。
香蕉的生长发育和产量受时空气候条件的影响,这在一定程度上解释了农场中出现的不同反应,突出表明有必要生成有关水果形态特征的信息,以便采取纠正措施,提高生产率。这项研究的目的是对生产进行分析,同时考虑到通过果串分析得出的可量化变量。对乌拉瓦-安蒂奥基亚(Urabá-Antioquia)图尔沃市、阿帕塔多市和卡雷帕市两个香蕉集团的十个农场在 2021 年至 2022 年 108 周内记录的 98 956 个果穗进行了分析。变量包括:株龄、株重、手数、基部-顶端校准、基部-顶端长度、田间手指和手的移除。使用 R 4.2.1 软件进行斯皮尔曼相关性和方差分析(ANOVA),并采用 Kruskal post-hoc 进行均值比较。结果发现了统计差异(p 值<2.2e-16),年龄-重量(0.24)、年龄-基本校准(0.23)和手数-重量(0.45)之间的相关性最高。这些结果表明,采收剖面分析是一种实用而灵活的方法,可以量化葡萄串的形态变量,进行产量预测,并根据销售商的要求调整农艺管理。
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Temas Agrarios
Temas Agrarios AGRONOMY-
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发文量
8
审稿时长
35 weeks
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