Participatory tomato variety selection in the lowland areas of North Shewa

Natnael Girma, Abdu Yassin, Zerihun Kebede, Getaneh Geto, Tigist Firew, Fiseha Desalegne, Alemayehu Ayele, Damtew Aragaw, Dejene Mamo, Teklemariam Ayele
{"title":"Participatory tomato variety selection in the lowland areas of North Shewa","authors":"Natnael Girma, Abdu Yassin, Zerihun Kebede, Getaneh Geto, Tigist Firew, Fiseha Desalegne, Alemayehu Ayele, Damtew Aragaw, Dejene Mamo, Teklemariam Ayele","doi":"10.56027/joasd.252023","DOIUrl":null,"url":null,"abstract":"The production and productivity of tomatoes in Ethiopia as well as in Amhara Region are very low because of lack of improved and adapted varieties, inadequate knowledge of production and management, and a poor marketing system. The field experiment was carried out during the 2018 irrigation seasons at Ataye and Shewarobit to identify adaptive, high yielding and disease tolerant varieties of tomato. Eight improved tomato varieties were laid out in a randomized complete block design and replicated three times. The collected biological data were analyzed using SAS statistical software version 9.4, and farmers’ preferences for those varieties were also assessed based on selection attributes set by them. The combined analysis of variance revealed that there was significant difference between the varieties on the number of fruits per cluster, plant height, marketable number, unmarketable number and average weight of a tomato. The highest number of fruits per cluster was recorded from variety Mersa (3.83), followed by Melkasalsa (3.73) and Melkashola (3.7). The variety Mersa was the tallest followed by Weyno with plant heights of 110.5 cm and 110.96 cm, respectively. The highest average fruit weight was recorded for the variety D2 (61.25 g) followed by Cochoro (46.46 g). Even though it was not statistically significant, the variety Melkashola has given the highest marketable yield (32.98 t ha-1) and showed a better reaction to late blight disease as low as 27.5 %. In addition to this, variety Melkashola was highly preferred by the farmers. Based on the biological data and farmer’s preference variety Melkashola has been recommended for Ataye and Shewarobit as well as for other similar agro-ecologies.","PeriodicalId":16583,"journal":{"name":"JOURNAL OF OASIS AGRICULTURE AND SUSTAINABLE DEVELOPMENT","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF OASIS AGRICULTURE AND SUSTAINABLE DEVELOPMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56027/joasd.252023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The production and productivity of tomatoes in Ethiopia as well as in Amhara Region are very low because of lack of improved and adapted varieties, inadequate knowledge of production and management, and a poor marketing system. The field experiment was carried out during the 2018 irrigation seasons at Ataye and Shewarobit to identify adaptive, high yielding and disease tolerant varieties of tomato. Eight improved tomato varieties were laid out in a randomized complete block design and replicated three times. The collected biological data were analyzed using SAS statistical software version 9.4, and farmers’ preferences for those varieties were also assessed based on selection attributes set by them. The combined analysis of variance revealed that there was significant difference between the varieties on the number of fruits per cluster, plant height, marketable number, unmarketable number and average weight of a tomato. The highest number of fruits per cluster was recorded from variety Mersa (3.83), followed by Melkasalsa (3.73) and Melkashola (3.7). The variety Mersa was the tallest followed by Weyno with plant heights of 110.5 cm and 110.96 cm, respectively. The highest average fruit weight was recorded for the variety D2 (61.25 g) followed by Cochoro (46.46 g). Even though it was not statistically significant, the variety Melkashola has given the highest marketable yield (32.98 t ha-1) and showed a better reaction to late blight disease as low as 27.5 %. In addition to this, variety Melkashola was highly preferred by the farmers. Based on the biological data and farmer’s preference variety Melkashola has been recommended for Ataye and Shewarobit as well as for other similar agro-ecologies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
北Shewa低地参与式番茄品种选择研究
埃塞俄比亚和阿姆哈拉地区的番茄产量和生产力都很低,原因是缺乏改良和适应的品种,生产和管理知识不足,以及营销体系不健全。该田间试验于2018年灌溉季节在Ataye和Shewarobit进行,以鉴定适应性强、高产和抗病的番茄品种。8个改良番茄品种采用随机完全区组设计,重复试验3次。采用SAS 9.4版统计软件对收集到的生物学数据进行分析,并根据品种设置的选择属性对农户的偏好进行评价。综合方差分析表明,品种间在单株果数、株高、可售数、滞销数和番茄平均重等方面存在显著差异。每串果实数最高的品种是Mersa(3.83),其次是Melkasalsa(3.73)和Melkashola(3.7)。其中Mersa最高,其次是Weyno,株高分别为110.5 cm和110.96 cm。平均单果重最高的品种是D2 (61.25 g),其次是Cochoro (46.46 g),尽管在统计上不显著,但Melkashola品种的市场产量最高(32.98 t hm -1),对晚疫病的反应较好,低至27.5%。除此之外,Melkashola品种也受到农民的高度青睐。根据生物学数据和农民的偏好,推荐Melkashola品种用于Ataye和Shewarobit以及其他类似的农业生态。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Management and Use of Genetic Resources for Climate Smart Crop Improvement: Overview of the Tailor-Made Training (TMT) Course Crop rotation as an economic strategy for small-scale farmers: evidence from Punjab, Pakistan Agroforestry as a Sustainable Solution for Mitigating Climate Change Impacts and Addressing Water Scarcity in Tunisia: A Review Evaluation of Macro Propagation Techniques for Multiplication of Banana (Musa spp.) Modelling habitat suitability of reintroduced scimitar-horned oryx (Oryx dammah) in Sidi Toui National Park, Tunisia
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1