Determining agro-climatic favourability zones for coffee leaf rust in Brazil – a new approach for assisting crop risk planning

IF 0.9 4区 农林科学 Q4 PLANT SCIENCES
Fernando Dill Hinnah, Paulo Cesar Sentelhas, Henrique Boriolo Dias
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引用次数: 0

Abstract

Coffee leaf rust (CLR) poses a significant threat to coffee crops worldwide, including those grown in Brazil. CLR thrives in climatic conditions ideal for coffee cultivation, which results in its constant presence in Brazilian coffee farms. The intensity of CLR exhibits variations as affected by interannual and spatial climate variability that shape epidemics. The aim of this study was to determine the agro-climatic favourability zones for CLR occurrence in the major coffee-producing regions of Brazil based on region-specific agro-climatic conditions. Climate data spanning from 1961 to 2015 at 46 sites were selected to represent the major coffee-producing regions. Using a CLR infection rate model, daily simulations were performed to calculate the cumulative infection rate (CIR) for each site and growing season, starting from 1st October to 30th June of the following year. Based on the CIR values, the sites and seasons were categorised into five favourability classes: Very Low, Low, Medium, High, and Very High. An Agro-Climatic Favourability index (ACFavindex) was developed, considering the frequency of seasons falling within each favourability class. A map displaying four distinct favourability zones across the studied regions was then obtained and showed that most of the traditional coffee-growing areas fell within the Medium to High Favourability zones for CLR. The obtained map, delineating CLR favourability zones, holds practical value for coffee growers, consultants, and policymakers alike. It can guide the selection of CLR-resistant coffee cultivars for new cultivation areas and aid in the development of effective disease control strategies.

Abstract Image

确定巴西咖啡叶锈病的农业气候适宜区——一种辅助作物风险规划的新方法
咖啡叶锈病对世界各地的咖啡作物,包括巴西的咖啡作物构成了重大威胁。CLR在咖啡种植的理想气候条件下蓬勃发展,这使得它在巴西咖啡农场中不断存在。CLR的强度表现出受形成流行病的年际和空间气候变化影响的变化。本研究的目的是根据特定地区的农业气候条件,确定巴西主要咖啡产区CLR发生的农业气候有利区。选取了1961年至2015年46个地点的气候数据来代表主要咖啡生产地区。使用CLR感染率模型,从每年10月1日至次年6月30日,每天进行模拟,以计算每个地点和生长季节的累积感染率(CIR)。根据CIR值,将场地和季节分为五类:极低、低、中、高和极高。考虑到每个适宜性类别的季节频率,制定了农业气候适宜性指数。然后获得了一张地图,显示了所研究区域的四个不同的有利区域,并显示大多数传统咖啡种植区都属于CLR的中高有利区域。获得的地图描绘了CLR的有利区域,对咖啡种植者、顾问和政策制定者都有实际价值。它可以指导在新的种植区选择耐CLR的咖啡品种,并有助于制定有效的疾病控制策略。
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来源期刊
Australasian Plant Pathology
Australasian Plant Pathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
51
审稿时长
3 months
期刊介绍: Australasian Plant Pathology presents new and significant research in all facets of the field of plant pathology. Dedicated to a worldwide readership, the journal focuses on research in the Australasian region, including Australia, New Zealand and Papua New Guinea, as well as the Indian, Pacific regions. Australasian Plant Pathology is the official journal of the Australasian Plant Pathology Society.
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