通过风险分析和可可豆荚存活率曲线改进产量预测方法

Luis Orozco-Aguilar, A. López-Sampson, Luis A. Barboza, María José Borda, Mariela E Leandro-Muñoz, Melanie Bordeaux, Rolando H. Cerda, Eusebio Ayestas Villega, Eduardo Somarriba
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引用次数: 0

摘要

可可的可实现产量受到特定农业环境中各种病虫害的影响。估算产量损失对农场一级的农艺和经济决策至关重要。在超过 15 个月的时间里,我们对 6 个可可克隆(PMCT-58、CC-137、CATIE-R1 CATIE-R4、ICS-95 和 CCN-51)的 1100 个豆荚进行了监测,以评估病虫害的发生率并阐明其生存行为。可可克隆在哥斯达黎加图里亚尔瓦的 La Montaña 一片以木材为基础的可可农林地(每公顷种植 1330 株可可,每公顷种植 100 棵遮荫树,遮荫率为 65%)中生长了 12 年。每个克隆有 6-12 棵树和 120-140 个豆荚,分为四个大小等级(极小-2.5-7 厘米、小-7.1-14 厘米、中-14.1-21 厘米和大-≥21 厘米),每两周进行一次标记和测量。沿树干在两个垂直层(1.5 米以下和 1.5 米以上)选取荚果,并将其分为三代(雨季、过渡期和旱季)。按克隆、世代、豆荚大小等级和豆荚沿树干的位置进行竞争风险和存活率分析。总体而言,豆荚在 155-165 天时达到成熟,并受到多种危害的影响,导致其发育受阻。能更好地描述豆荚发育期累积风险的 Cox 模型包括两个具有很强说明力的协变量:世代和克隆。无论克隆和豆荚世代如何,病虫害的综合影响约占产量损失的 45% 至 65%。Kaplan-Meier 生存分析表明,不同世代的豆荚存活率相似,但世代内不同克隆的豆荚存活率不同。CATIE-R1、CATIE-R4 和 CC-137 克隆的豆荚存活率高于 ICS-95、CCN-51 和 PMCT-58 克隆。豆荚沿树干的位置并不影响豆荚的存活率。我们将本研究中计算的豆荚计数和豆荚成活率结合起来,并将我们的产量估算结果与认证机构提出的一种广泛使用的预测方法进行了对比。总体而言,对 CATIE-R1 克隆的 90 天豆荚采用UTZ 方法估算的产量一直高估了 27%-45% 的预测产量。我们建议将豆荚计数和豆荚指数与一组特定克隆的折扣系数(存活率)相结合,以可靠地预测农场可可的长期产量。
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Risk analysis and cacao pod survivorship curves to improve yield forecasting methods
Cocoa attainable yields are affected by a complex of pests and diseases in a particular agro-environment. Estimation of yield loss is critical for agronomic and economic decision-making at the farm level. For over 15 months, we monitored 1100 pods from six cocoa clones (PMCT-58, CC-137, CATIE-R1 CATIE-R4, ICS-95, and CCN-51) to assess the incidence of pests and diseases and to elucidate their survival behavior. Cocoa clones grow in a 12-year timber-based cocoa agroforestry plot (1330 cocoa plants ha-1, 100 shade trees ha-1, and 65% shade cover), in La Montaña, Turrialba, Costa Rica. Between 6-12 trees and 120-140 pods per clone of four size classes (very small – 2.5-7 cm, small – 7.1-14 cm, medium – 14.1-21 cm, and large – ≥21 cm) were tagged and measured fortnightly. Pods were selected at two vertical strata along the tree trunk (below and above 1.5 m) and grouped into three generations (rainy, transition, and dry). Competitive risk and survival analysis were performed per clone, generation, pod size class, and pod position along the tree trunk. Overall, pods reached maturity at the age of 155-165 days and were exposed to several hazards that disrupted their development. The Cox model that better described the cumulative risk during pod development included two covariables with substantial explicative power, generation, and clones. Regardless of clone and pod generation, a combination of diseases/pests accounted for about 45% to 65% of yield losses. The Kaplan-Meier survival analysis showed that pod survival was similar between generations but differed among clones within generations. Pods from CATIE-R1, CATIE-R4 and CC-137 clones showed greater survival rates than those of ICS-95, CCN-51 and PMCT-58 clones. The position of the pod along the tree trunk did not influence pod survival rates. We combined pod counting and pod survival rates calculated in this study and contrasted our yield estimations against a widely used prediction method proposed by a certification body. Overall, yield estimated using the UTZ method applied to 90-day-old pods of CATIE-R1 clone consistently overestimated yield predictions in the range of 27-45%. We proposed the combination of pod counting and pod index with a set of clone-specific discount factors; the survival rates, to reliably forecast on-farm cacao yields over time.
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