The impact of climate change on the productivity of cowpea (Vigna unguiculata) under three different socio-economic pathways

IF 2.6 3区 农林科学 Q1 AGRONOMY
Grace Adusei, Moses Kwame Aidoo, A. Srivastava, J. Asibuo, T. Gaiser
{"title":"The impact of climate change on the productivity of cowpea (Vigna unguiculata) under three different socio-economic pathways","authors":"Grace Adusei, Moses Kwame Aidoo, A. Srivastava, J. Asibuo, T. Gaiser","doi":"10.4081/ija.2022.2118","DOIUrl":null,"url":null,"abstract":"Crop models are useful tools for simulating the impact of climate change on crop growth, development and yield. This study assesses the impact of climate change on cowpea yield in soils with low levels of phosphorous content mainly in the Sudan Savanna and Forest Transition Zone of West Africa. A crop model solution within the general modelling framework SIMPLACE in combination with the output of four climate models for 3 contrasting shared socio-economic scenarios (SSP126, SSP370, and SSP585) was used to simulate the impact of climatic change on phenology, above ground biomass and yield parameters of cowpea. The simulations were carried out for Ouagadougou and Kumasi, representing the two major savanna biomes in West Africa (Sudan Savanna and Guinea Savanna). Previous field experimental data on the wide-spread cowpea genotype Asontem from a P-deficient soil at Kumasi (Ghana) were used to validate the SIMPLACE crop model solution. The model was able to simulate the impact of irrigation and fertilizer management on cowpea growth and yield assessment with adequate accuracy. Compared to historic simulations of the biomass and yield of cowpea, the model solution projected higher above ground biomass, and yield under the pre-dominant low input cropping systems for all the three SSPs as a result of the rise in CO2 and in spite of slightly shorted growing cycle length in both locations.","PeriodicalId":14618,"journal":{"name":"Italian Journal of Agronomy","volume":" 10","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Italian Journal of Agronomy","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.4081/ija.2022.2118","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 1

Abstract

Crop models are useful tools for simulating the impact of climate change on crop growth, development and yield. This study assesses the impact of climate change on cowpea yield in soils with low levels of phosphorous content mainly in the Sudan Savanna and Forest Transition Zone of West Africa. A crop model solution within the general modelling framework SIMPLACE in combination with the output of four climate models for 3 contrasting shared socio-economic scenarios (SSP126, SSP370, and SSP585) was used to simulate the impact of climatic change on phenology, above ground biomass and yield parameters of cowpea. The simulations were carried out for Ouagadougou and Kumasi, representing the two major savanna biomes in West Africa (Sudan Savanna and Guinea Savanna). Previous field experimental data on the wide-spread cowpea genotype Asontem from a P-deficient soil at Kumasi (Ghana) were used to validate the SIMPLACE crop model solution. The model was able to simulate the impact of irrigation and fertilizer management on cowpea growth and yield assessment with adequate accuracy. Compared to historic simulations of the biomass and yield of cowpea, the model solution projected higher above ground biomass, and yield under the pre-dominant low input cropping systems for all the three SSPs as a result of the rise in CO2 and in spite of slightly shorted growing cycle length in both locations.
三种不同社会经济路径下气候变化对豇豆生产力的影响
作物模型是模拟气候变化对作物生长、发育和产量影响的有用工具。本研究评估了气候变化对低磷土壤中豇豆产量的影响,这些土壤主要位于西非的苏丹草原和森林过渡区。使用通用建模框架SIMPLACE中的作物模型解决方案,结合三种对比共享社会经济情景(SSP126、SSP370和SSP585)的四个气候模型的输出,模拟气候变化对豇豆的酚学、地上生物量和产量参数的影响。模拟是在瓦加杜古和库马西进行的,这两个地区代表了西非的两个主要草原生物群落(苏丹草原和几内亚草原)。先前关于Kumasi(加纳)缺磷土壤中广泛分布的豇豆基因型Asontem的田间试验数据用于验证SIMPLACE作物模型解决方案。该模型能够足够准确地模拟灌溉和肥料管理对豇豆生长和产量评估的影响。与豇豆生物量和产量的历史模拟相比,模型解决方案预测,由于二氧化碳的增加,尽管这两个地区的生长周期长度略有缩短,但在前优势低投入种植制度下,所有三个SSP的地上生物量和产量都较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.20
自引率
4.50%
发文量
25
审稿时长
10 weeks
期刊介绍: The Italian Journal of Agronomy (IJA) is the official journal of the Italian Society for Agronomy. It publishes quarterly original articles and reviews reporting experimental and theoretical contributions to agronomy and crop science, with main emphasis on original articles from Italy and countries having similar agricultural conditions. The journal deals with all aspects of Agricultural and Environmental Sciences, the interactions between cropping systems and sustainable development. Multidisciplinary articles that bridge agronomy with ecology, environmental and social sciences are also welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信